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(A) Heart rate (mean, 95% CI). (B) Respiratory rate (mean, 95% CI). (C) PCO<span class="elsevierStyleInf">2</span> obtained from capillary blood gas testing (mean, 95% CI). (D) Wood-Downes-Ferrés severity score (median, interquartile range).</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Lorena Bermúdez Barrezueta, Nuria García Carbonell, Jorge López Montes, Rafael Gómez Zafra, Purificación Marín Reina, Jana Herrmannova, Javier Casero Soriano" "autores" => array:7 [ 0 => array:2 [ "nombre" => "Lorena" "apellidos" => "Bermúdez Barrezueta" ] 1 => array:2 [ "nombre" => "Nuria" "apellidos" => "García Carbonell" ] 2 => array:2 [ "nombre" => "Jorge" "apellidos" => "López Montes" ] 3 => array:2 [ "nombre" => "Rafael" "apellidos" => "Gómez Zafra" ] 4 => array:2 [ "nombre" => "Purificación" "apellidos" => "Marín Reina" ] 5 => array:2 [ "nombre" => "Jana" "apellidos" => "Herrmannova" ] 6 => array:2 [ "nombre" => "Javier" "apellidos" => "Casero Soriano" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S1695403316300042" "doi" => "10.1016/j.anpedi.2016.03.001" "estado" => "S300" "subdocumento" => "" 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Ezequiel Fuentes-Ríos, Silvia Manrique-Rodríguez, Cecilia M. Fernández-Llamazares" "autores" => array:4 [ 0 => array:4 [ "nombre" => "Isabel" "apellidos" => "García-López" "email" => array:1 [ 0 => "iglopez@salud.madrid.org" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "Javier Ezequiel" "apellidos" => "Fuentes-Ríos" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 2 => array:3 [ "nombre" => "Silvia" "apellidos" => "Manrique-Rodríguez" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 3 => array:3 [ "nombre" => "Cecilia" "apellidos" => "M. Fernández-Llamazares" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] ] "afiliaciones" => array:2 [ 0 => array:3 [ "entidad" => "Servicio de Farmacia, Hospital Infantil Universitario Niño Jesús, Madrid, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Servicio de Farmacia, Hospital General Universitario Gregorio Marañón, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Utilización de medicamentos en condiciones <span class="elsevierStyleItalic">off-label</span> y <span class="elsevierStyleItalic">unlicensed</span>: resultados de un estudio piloto realizado en una unidad de cuidados intensivos pediátricos" ] ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 4554 "Ancho" => 2319 "Tamanyo" => 432989 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Algorithm to determine the drug utilization category.</p>" ] ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Encouraging effective and safe use of drugs in children is a current worldwide necessity. The resolution of problems associated with drug use in children has been tackled over the years. The objective is clear, to provide children with safe and effective drugs including precise and updated information. However, in spite of efforts by physicians, researchers, scientific societies and health-related policies, to date, a series of obstacles still exists, preventing an adequate development of drugs for paediatric use. These barriers are well known, and amongst them we find<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">1,2</span></a>: the cost of performing corresponding studies; the difficulty in designing trials; the time necessary for completing the contemplated study periods in protocols for children, far superior to those in adults; lengthy approval procedures; the complex and specific ethical aspects involved in all research concerning children; and lastly, obtaining consent from patients who cannot concede it themselves.</p><p id="par0010" class="elsevierStylePara elsevierViewall">Due to the lack of safety and efficacy data, the “non-approved” use of drugs in paediatrics has always involved a risk for patients. The drugs used, following the label specifications established at the beginning of commercialization have a lower tendency towards producing adverse effects than those drugs whose use in children is not authorized or is prescribed in different conditions to those stated on the label.<a class="elsevierStyleCrossRefs" href="#bib0155"><span class="elsevierStyleSup">3–9</span></a> This was revised by the European Medicines Agency (EMA) itself, concluding that the use of “non-approved” drugs increments the incidence and severity of adverse reactions.<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">10</span></a> Nevertheless, as the percentage of drugs without paediatric indication is so high (50–90%) and affects approximately 20% of the European Union population (around 150 million people under 18 years),<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">2</span></a> the use of drugs in these conditions is almost obligatory. It is important that children are not denied access to clearly beneficial drugs. It is neither practical nor appropriate to restrict use only to drugs approved for this age group. Health professionals are obliged to give children the best possible treatment, which invariably implies non-authorized drug use or use in conditions different to those approved.<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">7,11,12</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">The aims of the present study were to characterize unlicensed and off-label drug prescription and analyze its prevalence in children admitted to a paediatric intensive care unit (PICU) of a Spanish University Hospital.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Methods</span><p id="par0020" class="elsevierStylePara elsevierViewall">An observational, descriptive, prospective pilot study was performed in a paediatric intensive care unit over 6 consecutive weeks, between September and October 2011. The study was carried out in the PICU of one tertiary, general, public, university hospital in the city of Madrid, Spain. The paediatric intensive care unit is equipped with 11 beds for patients from 0–18 years of age. It is predominantly a cardiac intensive care unit due to the high prevalence of cardiovascular diseases that are attended in this unit (clinical and surgical conditions). The PICU has computerized physician order entry with pharmacist order validation and is provided with automatic dispensing cabinets.</p><p id="par0025" class="elsevierStylePara elsevierViewall">The study was based on the collection of variables related to the patients and the prescribed drugs available on clinical records, provided by the hospital's computerized system, and from information provided by the health care team. The access to clinical data followed the protocols established at the hospital and the authors signed an undertaking to preserve confidentiality and to use the data collected solely for the purpose of scientific publication.</p><p id="par0030" class="elsevierStylePara elsevierViewall">The study was conducted after obtaining permission from the Institutional Ethics Committee. The requirement for informed consent was waived.</p><p id="par0035" class="elsevierStylePara elsevierViewall">The study enrolled patients aged 0–18 years admitted to the PICU from September–October 2011. Patients over 18 were excluded, as well as those without social security membership, as were age, weight and diagnosis. The use of the following drugs was also excluded: nutritional preparations, standard intravenous crystalloid solutions, oxygen and heparin used to maintain patency of intravenous lines.</p><p id="par0040" class="elsevierStylePara elsevierViewall">A data base was designed (Microsoft Access_2007; Microsoft Corporation, Redmond, WA, USA) where variables for every hospitalized patient were collected: age, sex, type of patient (medical or surgical), anatomical system related to hospitalization, principal diagnosis and optionally secondary diagnosis, and prescribed drugs. Age classification of paediatric patients was established according to the scientific guidelines about clinical investigation of medicinal products in the paediatrics population, published by the European Medicines Agency [International Conference on Harmonisation (ICH) guidance E11].<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">13</span></a></p><p id="par0045" class="elsevierStylePara elsevierViewall">To calculate the total number of items prescribed, the following were defined as new prescriptions: change in drug, different route of administration, different presentation, the same drug with suspended treatment for several days and re-prescription or dose change (when changing from one dose indicated on label to a dose not indicated on label).</p><p id="par0050" class="elsevierStylePara elsevierViewall">For every prescribed drug the ATC (World Health Organisation's Anatomical Therapeutic Chemical classification system) group was registered, according to the current Nordic Council classification,<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">14</span></a> and the route of administration and dose was reflected in the Ministry of Health. Furthermore, for every drug included, we took into account its indication and condition of use according to summary of product characteristics (SmPC) established by the EMA. Depending on use, it was considered either unlicensed or off-label, according to consensus established in 2008 by a panel of experts.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">15</span></a> Unlicensed use was defined by this consensus, and supported by EMA-dependent paediatric working group, as use of a drug which has never obtained a European Marketing Authorisation as a medicinal product for human use, in either children or adults. Off-label use was defined by consensus as use of any marketed drug not detailed in the SmPC, including therapeutic indication, age group in which it is used, appropriate strength (dosage) and route of administration.</p><p id="par0055" class="elsevierStylePara elsevierViewall">In this way, and for uniform consideration, having revised all the relevant bibliography, an algorithm was defined allowing sequential observation of information included in every prescription, with the aim of defining prescription condition (<a class="elsevierStyleCrossRef" href="#fig0005">Fig. 1</a>). The first step was to check that the included drug had European Marketing Authorisation. Drugs without Marketing Authorisation were to be considered “unlicensed” (i.e. investigational drugs). In addition, we also judged as “unlicensed” the drugs used as special formulations, i.e. the formulations manufactured by the Hospital Pharmacy Service (“manufactured formulae”)<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">16</span></a>, considering that the manipulation of the drug as well as the lack of information on the acquired physicochemical properties could affect relevant pharmacological characteristics. On the other hand, when dealing with a commercialized drug, the condition according to indication was evaluated, whether it was authorized or not for the age group, route of administration and finally according to dose. That is to say, commercialized drugs, in this study, were classified under one possible reason for off-label use. As regards hospital pharmacy “manufactured formulae”, mainly classified as unlicensed, their possible off-label use according to indication, age or other reasons was evaluated in a secondary manner according to the algorithm.</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0060" class="elsevierStylePara elsevierViewall">The statistical analysis of data was performed with the SPSS 15.0 (IBM Corporation, Armonk, NY, USA) package. The Chi-square lineal tendency test was used for lineal association between variables.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Results</span><p id="par0065" class="elsevierStylePara elsevierViewall">During a six-week study, data from a total of 42 patients were collected. Patient characteristics included in the study are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>. Of these, 696 prescriptions were analyzed, involving a total of 102 different drugs, mainly belonging to the group for nervous system therapy (<span class="elsevierStyleItalic">N</span>: 36.1%), cardiovascular system (21.6%) and digestive system (A: 10.5%). The most prescribed drugs were fentanyl (7.9%), midazolam (7.9%), atropine (5.2%), etomidate (5.2%) and suxamethonium (5.2%).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0070" class="elsevierStylePara elsevierViewall">As regards treatments, patients received an average of 16.5 prescriptions (median: 14, SD: 9.3; P25: 11; P75: 21). The most “simple” patient received only four different drug prescriptions, whereas the most “complex” patient received 48 different prescriptions throughout hospitalization.</p><p id="par0075" class="elsevierStylePara elsevierViewall">Of all different drugs involved (102), a total of 54 (52.9%) drugs were identified as being prescribed off-label and 16 (15.7%) as unlicensed.</p><p id="par0080" class="elsevierStylePara elsevierViewall">All patients received at least one off-label prescription and 18 patients at least one unlicensed one. Only one patient received only one off-label drug, whereas the others (41) received more than one. The mean of drugs used under off-label conditions per treatment and per patient was 8.9 (median: 7; SD: 5.8; P25: 5; P75: 12). The summary of statistical parameters relative to prescription analysis is shown in <a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>.</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">In agreement with the established algorithm, 340 prescriptions were initially used as off-label for different reasons, and 60 prescriptions were used under unlicensed conditions (8.6% of the total prescriptions, all being pharmacy-manufactured formulae), of which 35 (5% of all prescriptions) were considered off-label as well. Therefore, the global results show an off-label use of 375 prescriptions (53.9%): 55.7% (209 prescriptions) due to indication different to the approved one, 31.2% (117 prescriptions) age different to the age authorized, 12.0% (45 prescriptions) “non-approved” dose and finally 1.1% (4 prescriptions) route of administration not contemplated on SmPC. The use of drugs under approved conditions was seen in 296 prescriptions (42.5%).</p><p id="par0090" class="elsevierStylePara elsevierViewall">The sub-analysis by age group showed that for children under two years, 63% of their prescriptions, corresponded to off-label use, and 13.7% to unlicensed use; in higher age groups, the off-label and unlicensed percentages tend to decrease, dropping to 45.2% and 0% respectively in the case of adolescents (≥13 years). The Chi-square lineal tendency test was significant (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.025), thus verifying the existing lineal association between frequency of off-label use and patient age; however, this lineal tendency was not observed in the case of unlicensed drug use, possibly due to lower sample size.</p><p id="par0095" class="elsevierStylePara elsevierViewall">The reasons for using drugs under off-label conditions were independent of patient age; we found the same results as in the global analysis: indication was the first reason for off-label use in all groups, followed by age, dose and finally route of administration (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0100" class="elsevierStylePara elsevierViewall">Regarding the drugs involved in prescriptions, <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a> shows the drugs mainly used in this PICU in their different use categories, indicating the total number of prescriptions for each and percentage of off-label, unlicensed or approved prescriptions respectively. When analysing results according to reason for off-label use, the drugs most frequently used with different indication to that approved were: atropine, etomidate, ranitidine, furosemide and dopamine; off-label due to patient age: milrinone, fentanyl, enoxaparin and clorazepate; due to dose: dipyrone and adrenaline, and due to route of administration: adrenaline, vancomycin and morphine. In the unlicensed drug setting, spironolactone (20%), sildenafil (13.3%), acetazolamide (13.3%) and hydrochlorothiazide (10%) stand out in 100% of the cases, which were “manufactured formulae”.</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall">In <a class="elsevierStyleCrossRef" href="#fig0010">Fig. 2</a> the distribution is shown the total, in each ATC group (World Health organisation Anatomical Therapeutic Chemical classification system), of drugs prescribed according to their use category, highlighting the fact that most drugs used under “non-approved” conditions (off label and unlicensed) are concentrated in group B: blood (100%), Group C: cardiovascular system (84.7%), Group G: genitourinary (83.3%), Group A: digestive (79.5%) and Group S: sensory organs (79.4%).</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Discussion</span><p id="par0110" class="elsevierStylePara elsevierViewall">The present project is encompassed within a common European strategy, established according to Paediatric Regulation articles 42 and 43 – Regulation (EC) N° 1901/2006 of the European Parliament and Congress on paediatric drug use. This regulation was published with the intention of facilitating development and improving accessibility of drugs in paediatric populations as well as to ensure that drugs used in treating children undergo high quality research and are correctly authorized for use in this population.</p><p id="par0115" class="elsevierStylePara elsevierViewall">One of the legal requirements of this Paediatric Regulation is to collect all available data on all uses of drugs in paediatric populations. Three non-European Union members were invited to participate in this process (Iceland, Norway and Liechtenstein). The report on the use profile, off-label as well as unlicensed in all Europe,<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">17</span></a> highlights, as one of its limitations, that some countries representing approximately 50% of the European paediatric population have not presented their results and therefore the use profile is lacking that data.</p><p id="par0120" class="elsevierStylePara elsevierViewall">On the other hand, studies performed in such specific and complex sub-populations as critical paediatric patients are few. Nevertheless, all show that paediatric intensive care units are characterized by a high ratio of drugs prescribed in “non-approved” conditions.<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">18–28</span></a> We obtained an off-label use profile of 53.9% in prescriptions and 8.6% unlicensed use, similar to results in other studies.</p><p id="par0125" class="elsevierStylePara elsevierViewall">When comparing with other PICU studies, it must be mentioned that although in our work the time and population may seem low, the final sample obtained (total number of prescriptions analyzed), is very similar to other studies.<a class="elsevierStyleCrossRefs" href="#bib0230"><span class="elsevierStyleSup">18–22</span></a></p><p id="par0130" class="elsevierStylePara elsevierViewall">Turner et al. (Great Britain)<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">18</span></a> having studied drug use conditions in a PICU, in 1996, published that 31% of all prescriptions involved drug use outside approved conditions (unlicensed or off-label) and that 70% of the total of patients received at least one drug under these conditions. Their percentages were slightly lower than those obtained in other posterior studies, but without doubt this is significant. A study with similar characteristics to ours, performed by Carvalho et al.,<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">19</span></a> where over a six-week period a total of 747 drug prescriptions were analyzed (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>51), showed that 60% of those prescriptions involved drugs used in “non-approved” conditions, and that 88% of the total patients were prescribed at least one drug under these conditions. In Israel, Gavrilov et al.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">20</span></a> concluded that 81% corresponded to “non-approved use” and 83% of the patients received some drugs used in conditions different to those authorized. Ferreira et al.<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">21</span></a> analyzed 1,054 prescriptions items in a Brazilian hospital (2011) and obtained 23.4% of the total prescribed items were off-label and 12.6% were unlicensed. The off-label percentage, in this survey, is lower than other similar studies in PICUs.</p><p id="par0135" class="elsevierStylePara elsevierViewall">A current survey has been published by Blanco-Reina et al.<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">22</span></a> in Spain (2015), which showed results similar to our study. They assessed the prescription profile and license status of drugs used in a neonatal and paediatric intensive care unit; they analyzed a total of 601 prescriptions, concluding that a little over one-half of the prescriptions (52% of the total) were off-label. This study is particularly relevant because it provides data of our geographic area. The difference is that Blanco-Reina includes neonatal patients.</p><p id="par0140" class="elsevierStylePara elsevierViewall">Other published studies: In India (2006), Bavdekar et al.<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">23</span></a> also determined off-label use in a PICU; a large study was performed, with similar results: 70.6% off-label drug use, and in Malaysia, Lee et al.<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">24</span></a> designs a wide study to determine the extent of unlicensed and off-label use of drugs in children admitted to the 3 intensive care units for 8 weeks. Out of the 1,295 prescriptions, 34.1% were off-label and 27.3% were unlicensed.</p><p id="par0145" class="elsevierStylePara elsevierViewall">In spite of the concordance of the results presented, there are also differences with other published studies, for example the study by 't Jong et al.,<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">25</span></a> where the total of unlicensed prescriptions reached 52% and off-label 16%. These results are justified by the high percentage of medications manufactured by the Pharmacy Hospital Service (35%) and the criteria established in this study to define a drug as unlicensed, which without doubt are much broader than those established in similar studies.</p><p id="par0150" class="elsevierStylePara elsevierViewall">In general, we can conclude that approximately 55% of all prescriptions (between 23% and 81%) and 80% of all patients (between 70% and 88%) receive drugs outside conditions approved in these units, data which mainly agree with the situation found in our study. Nevertheless, one aspect where significant differences were found was the reason for using drugs off-label. In other similar studies, dose was the principal reason for off-label use<a class="elsevierStyleCrossRefs" href="#bib0235"><span class="elsevierStyleSup">19,21–23,25</span></a> followed by age<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">23</span></a> or frequency of administration<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">19</span></a>; in our study, the main reason was drug indication followed by age and lastly dose. These differences may be due to several reasons, such as different medical prescription practices depending on geographic area, which is obvious from the high heterogeneity existing amongst frequently used drugs in each country; bibliographic references used in each study to evaluate drug use conditions; or even the methodology of our own study, as every commercialized drug is assigned only one possible off-label use (according to the established algorithm), whereas in other studies<a class="elsevierStyleCrossRefs" href="#bib0235"><span class="elsevierStyleSup">19,22,23,25</span></a> all possible reasons for off-label use of a drug are taken into account and evaluated. Nevertheless, due to the low number of studies evaluating this variable and therefore lack of information on this issue, the data must be interpreted with caution.</p><p id="par0155" class="elsevierStylePara elsevierViewall">The analysis of off-label or unlicensed use frequency in different age groups is poorly documented and results obtained to date are not conclusive. Carvalho et al.<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">19</span></a> did not find significant differences amongst the different age groups. Bavdekar<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">23</span></a> and Ferreira,<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">21</span></a> in agreement with our results, place the highest off-label use percentages within the lowest age groups.</p><p id="par0160" class="elsevierStylePara elsevierViewall">Regarding the drugs most used in “non-approved” conditions in a PICU, currently published data show great variability, motivated, perhaps, by differences in medical practice within different geographical areas, different disease profiles attended in each PICU and the progressive advances in medication use in paediatrics. Nevertheless, dopamine, furosemide, ranitidine or adrenaline, amongst others, are some of the off-label drugs that are most often found published in PICUs, also included in our results.</p><p id="par0165" class="elsevierStylePara elsevierViewall">This is a pilot study, conducted in a small population and designed to analyze some methodological aspects, prior to the definitive study. Consequently, from this pilot study, we have been able to extract several possible areas for improvement in future researches, e.g.: add a new variable drug from which to collect frequency of administration; or consider the drugs that have to be imported from others countries as unlicensed, not as approved (drugs without marketing authorization in our environment, Spain, and that therefore should not be considered in the same way for marketing authorization as drugs from Spain).</p><p id="par0170" class="elsevierStylePara elsevierViewall">On the other hand, this study has its limitations, similar to other studies, it does not cover all seasons and therefore there may be medications not covered here, especially those used in specific seasonal illnesses. However, the main limitation of our study is perhaps the obvious cardiac profile of the patients hospitalised in our paediatric intensive care unit. The different medical or surgical profiles or disease profiles of intensive care units may lead to different results in their studies, and PICUs like ours, that treat patients with cardiovascular surgery tend to use higher numbers of off-label and unlicensed drugs.<a class="elsevierStyleCrossRefs" href="#bib0270"><span class="elsevierStyleSup">26,27</span></a></p><p id="par0175" class="elsevierStylePara elsevierViewall">Thus, this allows comparison with our most familiar environment and, in conjunction, permits us to find the areas for improvement, marked by this regulation, to guarantee effective, safe and efficient drug use in children. Studies like this may provide valuable information to drug agencies to prioritize researches of certain drugs in the paediatric population, particularly those most frequently used in an off-label or unlicensed manner.</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Conflict of interests</span><p id="par0180" class="elsevierStylePara elsevierViewall">The authors have no conflict of interests to declare.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:10 [ 0 => array:3 [ "identificador" => "xres782720" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Purpose" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Method" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec781682" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres782721" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusión" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec781683" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:2 [ "identificador" => "sec0010" "titulo" => "Methods" ] 6 => array:2 [ "identificador" => "sec0015" "titulo" => "Results" ] 7 => array:2 [ "identificador" => "sec0020" "titulo" => "Discussion" ] 8 => array:2 [ "identificador" => "sec0025" "titulo" => "Conflict of interests" ] 9 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2015-08-12" "fechaAceptado" => "2016-01-11" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec781682" "palabras" => array:7 [ 0 => "Paediatric intensive care units" 1 => "Drug utilization" 2 => "Drug approval" 3 => "Off-label use" 4 => "Unlabeled indication" 5 => "Off-label prescriptions" 6 => "Paediatrics" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec781683" "palabras" => array:7 [ 0 => "Unidad de Cuidados Intensivos Pediátricos" 1 => "Utilización de medicamentos" 2 => "Uso aprobado de medicamentos" 3 => "Uso off-label" 4 => "Indicación fuera de ficha técnica" 5 => "Prescripciones en condiciones off-label" 6 => "Pediatría" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Purpose</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To analyze the prevalence of use of off-label and unlicensed drugs in a paediatric intensive care unit of a University Hospital.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Method</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">An observational, descriptive, prospective six week pilot study in a paediatric intensive care unit. Hospitalized patients aged between 0 and 18 years were included. Each prescribed drug was evaluated taking into account indication and condition of use, according to the information available on the summary of product characteristics established by the European Medicines Agency. A sequential algorithm was defined allowing drug classification in unlicensed, off-label or approved.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">42 patients were included. A total of 696 prescriptions, involving 102 different drugs, were analyzed. All patients had at least one off-label prescription, and a median of 8.9 off-label prescriptions were obtained. Of the total prescriptions, 8.6% were unlicensed and 53.9% corresponded to off-label use. The main reason for off-label use was by indication, followed by age and dose. A lineal tendency between off-label drug use and patient age was observed, where off-label use increased as patient age decreased. The drugs most commonly used off-label were: atropine, etomidate, dipyrone and ranitidine, and unlicensed drugs: spironolactone, sildenafil, acetazolamide and hydrochlorothiazide.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusion</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Paediatric intensive care units are characterized by a high ratio of off-label and unlicensed prescriptions. The scarce number of studies performed in this specific and complex sub-population added inconveniency to the current lack of data on safety and efficacy for drugs in paediatrics. Performing studies with these characteristics allowing us to document practice on paediatric drug utilization is required.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Purpose" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Method" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusion" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Evaluar el perfil de utilización de medicamentos en situaciones no autorizadas en una unidad de cuidados intensivos pediátricos de un hospital universitario.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Métodos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Se realizó un estudio observacional descriptivo prospectivo durante 6 semanas en una unidad de cuidados intensivos pediátricos. Se incluyeron pacientes ingresados con edades entre 0-18 años. Se evaluó cada uno de los medicamentos prescritos, indicación o condición de uso, según la información reflejada en las fichas técnicas autorizadas por la Agencia Europea de Medicamentos. Se definió un algoritmo secuencial para clasificar de manera estandarizada los medicamentos según la condición de prescripción en <span class="elsevierStyleItalic">unlicensed</span>, <span class="elsevierStyleItalic">off-label</span> o aprobado.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Se incluyeron 42 pacientes, analizándose un total de 696 prescripciones, que implicaron 102 fármacos diferentes. Todos los pacientes tuvieron al menos un tratamiento <span class="elsevierStyleItalic">off-label</span>. El 8,6% del total de tratamientos analizados se utilizaron en condiciones <span class="elsevierStyleItalic">unlicensed</span> y el 53,9% en <span class="elsevierStyleItalic">off-label</span>. El principal motivo de uso <span class="elsevierStyleItalic">off-label</span> fue por indicación, seguido de la edad y dosis. Existe una relación lineal entre frecuencia de uso de medicamentos en condiciones <span class="elsevierStyleItalic">off-label</span> y la edad del paciente, aumentando esta frecuencia según disminuye la edad del paciente. Los medicamentos más utilizados en condiciones <span class="elsevierStyleItalic">off-label</span> fueron: atropina, etomidato, metamizol y ranitidina, y en condiciones <span class="elsevierStyleItalic">unlicensed</span> fueron: espironolactona, sildenafilo, acetazolamida e hidroclorotiazida.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusión</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">La unidad de cuidados intensivos pediátricos se caracteriza por un alto ratio de medicamentos prescritos en condiciones no autorizadas. La realización de estudios de estas características permite documentar la práctica clínica respecto al uso de medicamentos en condiciones distintas a las autorizadas.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusión" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0010">Please cite this article as: García-López I, Fuentes-Ríos JE, Manrique-Rodríguez S, Fernández-Llamazares CM. Utilización de medicamentos en condiciones off-label y unlicensed: resultados de un estudio piloto realizado en una unidad de cuidados intensivos pediátricos. An Pediatr (Barc). 2017;86:28–36.</p>" ] ] "multimedia" => array:6 [ 0 => array:7 [ "identificador" => "fig0005" "etiqueta" => "Figure 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 4554 "Ancho" => 2319 "Tamanyo" => 432989 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Algorithm to determine the drug utilization category.</p>" ] ] 1 => array:7 [ "identificador" => "fig0010" "etiqueta" => "Figure 2" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr2.jpeg" "Alto" => 1635 "Ancho" => 2831 "Tamanyo" => 167996 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Number of approved, unlicensed and off-label prescriptions per ATC group.</p>" ] ] 2 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Figures in parentheses indicate percentage.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Data \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Value \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Total number of patients</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">42 (100) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Age groups</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>0–24 months \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (11.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≥2–3 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (19) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≥3–7 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 (35.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≥7–13 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (26.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>≥13 years \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (7.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Gender</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Male \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 (71.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Female \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (28.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Anatomical system related to hospitalization</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Cardiovascular \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">31 (73.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Respiratory \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (9.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Neurology \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (2.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Traumatology \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (4.8) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Other \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (9.5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="2" align="left" valign="top"><span class="elsevierStyleItalic">Type of patient</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Surgical \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 (71.4) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Medical \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (28.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1300506.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Patient characteristics.</p>" ] ] 3 => array:8 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at2" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Figures in parentheses indicate percentage.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Statistical data \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Frequency \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Total number of prescriptions \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">696 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Average number of prescriptions per patient \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16.57 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Average number of off-label prescriptions per patient \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8.93 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Number of unlicensed prescriptions \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">60 (8.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Number of off-label prescriptions \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">375 (53.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Number of unlicensed and off-label prescriptions \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">35 (5) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Number of patients receiving at least one off-label drug \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">42 (100) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Number of patients receiving at least one unlicensed drug \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18 (42.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1300507.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Summary of parameters analyzed.</p>" ] ] 4 => array:8 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at3" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0080" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Note</span>: The sum of off-label and unlicensed, in each age group, does not coincide with the total prescriptions, as one must take into account those 35 unlicensed prescriptions which also fulfil off-label requisites. () percentage based on the total items prescribed for each age group; percentage of different categories of off-label use based on the total off-label prescriptions for each age group.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Drug use classification \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="6" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Category of age</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">0–24 months \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">≥2–3 years \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">≥3–7 years \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">≥7–13 years \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">≥13 years \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Total \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Off-label</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">46 (63) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">80 (55.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">134 (55.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">96 (49.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19 (45.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">375 (53.9) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleItalic">Parameter for off-label use</span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Indication \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21 (45.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37 (46.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">78 (58.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">59 (61.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 (73.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">209 (55.7) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Age \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 (43.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 (37.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">40 (29.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 (26) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (10.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">117 (31.2) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Dose \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (8.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (13.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 (11.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (12.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 (15.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">45 (12) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleHsp" style=""></span>Route \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (2.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 (2.5) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (0.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 (0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 (0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 (1.1) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="7" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Unlicensed</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 (13.7) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 (7.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19 (7.9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 (10.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 (0) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">60 (8.6) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Approved</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">62 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">88 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">296 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top"><span class="elsevierStyleItalic">Total prescriptions</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">73 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">145 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">241 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">195 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">42 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">696 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1300508.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Distribution of off-label, unlicensed and approved drug use by patient age group.</p>" ] ] 5 => array:8 [ "identificador" => "tbl0020" "etiqueta" => "Table 4" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at4" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Category of use \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Most frequent prescribed drugs \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Total prescriptions \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">%<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Reason for off-label/unlicensed use \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " rowspan="15" align="left" valign="middle">Off-label</td><td class="td" title="table-entry " align="left" valign="top">Atropine \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Indication \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Etomidate \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">35 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Indication \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Dipyrone \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">31 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Dose \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Ranitidine \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">30 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Indication \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Furosemide \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Indication \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Dopamine \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">92.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Indication \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Milrinone \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">24 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">87.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Age \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Fentanyl \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">55 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">36.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Age \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Spironolactone \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Indication \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Vecuronium \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">91 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Indication \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Omeprazole \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Indication \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Adrenaline \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">88.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Dose and route \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Enoxaparin \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Age \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Nitroprusside \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">87.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Age \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Propofol \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">85.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Age \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="6" align="left" valign="middle">Unlicensed</td><td class="td" title="table-entry " align="left" valign="top">Spironolactone \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">92.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">“Manufactured formulae” \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Sildenafil \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">80 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">“Manufactured formulae” \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Acetazolamide \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">“Manufactured formulae” \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Hydrochlorothiazide \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">“Manufactured formulae” \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Methadone \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">“Manufactured formulae” \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Furosemide \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">29 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">“Manufactured formulae” \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " colspan="5" align="left" valign="top"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="5" align="left" valign="middle">Approved</td><td class="td" title="table-entry " align="left" valign="top">Midazolam \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">55 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Suxamethonium \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">35 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">97 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Paracetamol \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Dexamethasone \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Meropenem \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">100 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1300505.png" ] ] ] "notaPie" => array:1 [ 0 => array:3 [ "identificador" => "tblfn0005" "etiqueta" => "a" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">% indicates the percentage of off-label, unlicensed or approved prescriptions based on the total prescriptions for each drug.</p>" ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0085" class="elsevierStyleSimplePara elsevierViewall">Most common drugs in different category of use in PICU.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:28 [ 0 => array:3 [ "identificador" => "bib0145" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Off-label drug use in paediatrics: a world-wide problem" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "C. 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Year/Month | Html | Total | |
---|---|---|---|
2024 November | 13 | 8 | 21 |
2024 October | 71 | 31 | 102 |
2024 September | 68 | 31 | 99 |
2024 August | 89 | 70 | 159 |
2024 July | 84 | 44 | 128 |
2024 June | 188 | 48 | 236 |
2024 May | 68 | 49 | 117 |
2024 April | 85 | 47 | 132 |
2024 March | 56 | 33 | 89 |
2024 February | 63 | 32 | 95 |
2024 January | 39 | 36 | 75 |
2023 December | 35 | 39 | 74 |
2023 November | 44 | 42 | 86 |
2023 October | 45 | 31 | 76 |
2023 September | 46 | 32 | 78 |
2023 August | 60 | 24 | 84 |
2023 July | 59 | 21 | 80 |
2023 June | 80 | 37 | 117 |
2023 May | 104 | 26 | 130 |
2023 April | 64 | 21 | 85 |
2023 March | 113 | 32 | 145 |
2023 February | 89 | 21 | 110 |
2023 January | 59 | 26 | 85 |
2022 December | 76 | 38 | 114 |
2022 November | 103 | 42 | 145 |
2022 October | 77 | 46 | 123 |
2022 September | 77 | 37 | 114 |
2022 August | 87 | 50 | 137 |
2022 July | 61 | 40 | 101 |
2022 June | 57 | 43 | 100 |
2022 May | 66 | 40 | 106 |
2022 April | 54 | 36 | 90 |
2022 March | 75 | 57 | 132 |
2022 February | 68 | 34 | 102 |
2022 January | 82 | 46 | 128 |
2021 December | 64 | 42 | 106 |
2021 November | 75 | 52 | 127 |
2021 October | 122 | 112 | 234 |
2021 September | 70 | 63 | 133 |
2021 August | 92 | 43 | 135 |
2021 July | 71 | 47 | 118 |
2021 June | 83 | 49 | 132 |
2021 May | 101 | 62 | 163 |
2021 April | 231 | 143 | 374 |
2021 March | 131 | 77 | 208 |
2021 February | 123 | 27 | 150 |
2021 January | 90 | 34 | 124 |
2020 December | 83 | 26 | 109 |
2020 November | 78 | 19 | 97 |
2020 October | 172 | 25 | 197 |
2020 September | 105 | 33 | 138 |
2020 August | 157 | 25 | 182 |
2020 July | 84 | 26 | 110 |
2020 June | 119 | 24 | 143 |
2020 May | 81 | 32 | 113 |
2020 April | 63 | 24 | 87 |
2020 March | 58 | 25 | 83 |
2020 February | 48 | 21 | 69 |
2020 January | 56 | 13 | 69 |
2019 December | 81 | 29 | 110 |
2019 November | 42 | 19 | 61 |
2019 October | 53 | 21 | 74 |
2019 September | 62 | 33 | 95 |
2019 August | 62 | 25 | 87 |
2019 July | 68 | 45 | 113 |
2019 June | 46 | 53 | 99 |
2019 May | 107 | 34 | 141 |
2019 April | 77 | 40 | 117 |
2019 March | 73 | 25 | 98 |
2019 February | 78 | 35 | 113 |
2019 January | 60 | 28 | 88 |
2018 December | 90 | 40 | 130 |
2018 November | 216 | 34 | 250 |
2018 October | 289 | 33 | 322 |
2018 September | 130 | 28 | 158 |
2018 August | 1 | 0 | 1 |
2018 July | 2 | 0 | 2 |
2018 June | 3 | 0 | 3 |
2018 May | 10 | 0 | 10 |
2018 April | 41 | 0 | 41 |
2018 March | 26 | 0 | 26 |
2018 February | 27 | 0 | 27 |
2018 January | 39 | 0 | 39 |
2017 December | 16 | 0 | 16 |
2017 November | 25 | 0 | 25 |
2017 October | 24 | 0 | 24 |
2017 September | 20 | 0 | 20 |
2017 August | 10 | 0 | 10 |
2017 July | 32 | 3 | 35 |
2017 June | 36 | 16 | 52 |
2017 May | 45 | 26 | 71 |
2017 April | 94 | 91 | 185 |
2017 March | 15 | 17 | 32 |
2017 February | 21 | 18 | 39 |
2017 January | 33 | 24 | 57 |
2016 December | 2 | 13 | 15 |
2016 November | 0 | 28 | 28 |
2016 October | 0 | 24 | 24 |
2016 September | 5 | 13 | 18 |
2016 August | 15 | 5 | 20 |
2016 July | 9 | 15 | 24 |