期刊论文详细信息
BMC Pediatrics
Population-based analysis of non-steroidal anti-inflammatory drug use among children in four European countries in the SOS project: what size of data platforms and which study designs do we need to assess safety issues?
Miriam CJM Sturkenboom9  Ernst J Kuipers3  Marco Villa5  Huub Straatman1  Tania Schink6  Gino Picelli7  Silvia Lucchi5  Ron Herings1  Edeltraut Garbe6  Andrea Arfe8  Martijn J Schuemie2  Silvana Romio8  Geert W ‘t Jong4  René Schade2  Vera E Valkhoff3 
[1] PHARMO Institute, Van Deventerlaan, Utrecht, The Netherlands;Department of Medical Informatics, Erasmus University Medical Center, Dr. Molewaterplein, Rotterdam, The Netherlands;Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Dr. Molewaterplein, Rotterdam, The Netherlands;Division of Clinical Pharmacology & Toxicology, Hospital for Sick Children, University Avenue, Toronto, ON, Canada;Local Health Authority ASL Cremona, Via San Sebastiano, Cremona, Italy;Department of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany;International Pharmacoepidemiology and Pharmacoeconomics Research Center, Desio 20033, Italy;Division of Biostatistics and Public Health, Department of Quantitative Methods, University of Milano-Bicocca, Via Bicocca degli Arcimboldi, Milan, Italy;Department of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein, Rotterdam, The Netherlands
关键词: Case-crossover design;    Self-controlled case series design;    Asthma exacerbation;    Sample size;    Drug safety;    Health resource utilization;    Drug utilization;    Database;    Pharmacoepidemiology;   
Others  :  1144239
DOI  :  10.1186/1471-2431-13-192
 received in 2013-07-04, accepted in 2013-11-14,  发布年份 2013
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【 摘 要 】

Background

Data on utilization patterns and safety of non-steroidal anti-inflammatory drugs (NSAIDs) in children are scarce. The purpose of this study was to investigate the utilization of NSAIDs among children in four European countries as part of the Safety Of non-Steroidal anti-inflammatory drugs (SOS) project.

Methods

We used longitudinal patient data from seven databases (GePaRD, IPCI, OSSIFF, Pedianet, PHARMO, SISR, and THIN) to calculate prevalence rates of NSAID use among children (0–18 years of age) from Germany, Italy, Netherlands, and United Kingdom. All databases contained a representative population sample and recorded demographics, diagnoses, and drug prescriptions. Prevalence rates of NSAID use were stratified by age, sex, and calendar time. The person-time of NSAID exposure was calculated by using the duration of the prescription supply. We calculated incidence rates for serious adverse events of interest. For these adverse events of interest, sample size calculations were conducted (alpha = 0.05; 1-beta = 0.8) to determine the amount of NSAID exposure time that would be required for safety studies in children.

Results

The source population comprised 7.7 million children with a total of 29.6 million person-years of observation. Of those, 1.3 million children were exposed to at least one of 45 NSAIDs during observation time. Overall prevalence rates of NSAID use in children differed across countries, ranging from 4.4 (Italy) to 197 (Germany) per 1000 person-years in 2007. For Germany, United Kingdom, and Italian pediatricians, we observed high rates of NSAID use among children aged one to four years. For all four countries, NSAID use increased with older age categories for children older than 11. In this analysis, only for ibuprofen (the most frequently used NSAID), enough exposure was available to detect a weak association (relative risk of 2) between exposure and asthma exacerbation (the most common serious adverse event of interest).

Conclusions

Patterns of NSAID use in children were heterogeneous across four European countries. The SOS project platform captures data on more than 1.3 million children who were exposed to NSAIDs. Even larger data platforms and the use of advanced versions of case-only study designs may be needed to conclusively assess the safety of these drugs in children.

【 授权许可】

   
2013 Valkhoff et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Sturkenboom MC, Verhamme KM, Nicolosi A, Murray ML, Neubert A, Caudri D, Picelli G, Sen EF, Giaquinto C, Cantarutti L, et al.: Drug use in children: cohort study in three European countries. BMJ 2008, 337:a2245.
  • [2]Salvo F, Fourrier-Reglat A, Bazin F, Robinson P, Riera-Guardia N, Haag M, Caputi AP, Moore N, Sturkenboom MC, Pariente A: Cardiovascular and gastrointestinal safety of NSAIDs: a systematic review of meta-analyses of randomized clinical trials. Clin Pharmacol Ther 2011, 89:855-866.
  • [3]Assessment of the paediatric needs, pain. Paediatric working party of the european medicines agency 2005. Available at: http://www.ema.europa.eu/docs/en_GB/document_library/Other/2009/10/WC500004037.pdf webcite (accessed April 4, 2012)
  • [4]World Health Organization: Classification of Diseases. Available at: http://www.who.int/classifications/icd/en/ webcite. (accessed April 4, 2011)
  • [5]WHO collaborating centre for drug statistics methodology. Guidelines for ATC classification and DDD assignment Available at: http://www.whocc.no/atcddd/ webcite. (accessed April 4, 2012)
  • [6]Lamberts H, Wood M, Hofmans-Okkes IM: International primary care classifications: the effect of fifteen years of evolution. Fam Pract 1992, 9:330-339.
  • [7]Coloma PM, Schuemie MJ, Trifiro G, Gini R, Herings R, Hippisley-Cox J, Mazzaglia G, Giaquinto C, Corrao G, Pedersen L, et al.: Combining electronic healthcare databases in Europe to allow for large-scale drug safety monitoring: the EU-ADR Project. Pharmacoepidemiol Drug Saf 2011, 20:1-11.
  • [8]Ashraf E, Ford L, Geetha R, Cooper S: Safety profile of ibuprofen suspension in young children. Inflammopharmacology 1999, 7:219-225.
  • [9]Lesko SM, Louik C, Vezina RM, Mitchell AA: Asthma morbidity after the short-term use of ibuprofen in children. Pediatrics 2002, 109:E20.
  • [10]Lesko SM, Mitchell AA: An assessment of the safety of pediatric ibuprofen. A practitioner-based randomized clinical trial. JAMA 1995, 273:929-933.
  • [11]Lesko SM, Mitchell AA: Renal function after short-term ibuprofen use in infants and children. Pediatrics 1997, 100:954-957.
  • [12]Lesko SM, Mitchell AA: The safety of acetaminophen and ibuprofen among children younger than two years old. Pediatrics 1999, 104:e39.
  • [13]Pierce CA, Voss B: Efficacy and safety of ibuprofen and acetaminophen in children and adults: a meta-analysis and qualitative review. Ann Pharmacother 2010, 44:489-506.
  • [14]Southey ER, Soares-Weiser K, Kleijnen J: Systematic review and meta-analysis of the clinical safety and tolerability of ibuprofen compared with paracetamol in paediatric pain and fever. Curr Med Res Opin 2009, 25:2207-2222.
  • [15]Sullivan JE, Farrar HC: Fever and antipyretic use in children. Pediatrics 2011, 127:580-587.
  • [16]Ulinski T, Guigonis V, Dunan O, Bensman A: Acute renal failure after treatment with non-steroidal anti-inflammatory drugs. Eur J Pediatr 2004, 163:148-150.
  • [17]Unified Medical Language System® (UMLS®) from the U.S. National Library of Medicine Available at: http://www.nlm.nih.gov/research/umls/ webcite. (accessed April 4, 2011)
  • [18]Avillach P, Mougin F, Joubert M, Thiessard F, Pariente A, Dufour JC, Trifiro G, Polimeni G, Catania MA, Giaquinto C, et al.: A semantic approach for the homogeneous identification of events in eight patient databases: a contribution to the European eu-ADR project. Stud Health Technol Inform 2009, 150:190-194.
  • [19]World Health Organization: WHO standard population. 2001. Available at: http://www.who.int/healthinfo/paper31.pdf webcite. (accessed April 4, 2012)
  • [20]Coloma PM, Trifiro G, Schuemie MJ, Gini R, Herings R, Hippisley-Cox J, Mazzaglia G, Picelli G, Corrao G, Pedersen L, et al.: Electronic healthcare databases for active drug safety surveillance: is there enough leverage? Pharmacoepidemiol Drug Saf 2012, 21:611-621.
  • [21]National Collaborating Centre for Women’s and Children’s Health: Feverish illness in children. Assessment and initial management in children younger than 5 years. London: National Institute for Health and Clinical Excellence; 2007.
  • [22]Kindern F b: Patientenleitlinien.de. Universität Witten-Herdecke. 2006. Available at: http://www.patientenleitlinien.de/Fieber_Kindesalter/fieber_kindesalter.html webcite (accessed April 4, 2012)
  • [23]Chiappini E, Venturini E, Principi N, Longhi R, Tovo PA, Becherucci P, Bonsignori F, Esposito S, Festini F, Galli L, et al.: Update of the 2009 Italian pediatric society guidelines about management of fever in children. Clin Ther 2012, 34:1648-1653. e1643
  • [24]Berger M, Boomsma L, Albeda F, Dijkstra R, Graafmans T, Van der Laan J, Lemmen W, Oteman N: NHG-Standaard Kinderen met koorts (Tweede herziening). Huisarts Wet 2008, 51:287-296.
  • [25]Ray WA: Evaluating medication effects outside of clinical trials: new-user designs. Am J Epidemiol 2003, 158:915-920.
  • [26]Maclure M, Fireman B, Nelson JC, Hua W, Shoaibi A, Paredes A, Madigan D: When should case-only designs be used for safety monitoring of medical products? Pharmacoepidemiol Drug Saf 2012, 21(Suppl 1):50-61.
  • [27]Farrington CP, Nash J, Miller E: Case series analysis of adverse reactions to vaccines: a comparative evaluation. Am J Epidemiol 1996, 143:1165-1173.
  • [28]Farrington CP: Relative incidence estimation from case series for vaccine safety evaluation. Biometrics 1995, 51:228-235.
  • [29]Whitaker HJ, Hocine MN, Farrington CP: The methodology of self-controlled case series studies. Stat Methods Med Res 2009, 18:7-26.
  • [30]Farrington CP, Whitaker HJ, Hocine MN: Case series analysis for censored, perturbed, or curtailed post-event exposures. Biostatistics 2009, 10:3-16.
  • [31]Farrington CP, Anaya-Izquierdo K, Whitaker H, Hocine MN, Douglas I, Smeeth L: Self-controlled case series analysis with event-dependent observation periods. J Am Stat Assoc 2011, 106(494):417-426.
  • [32]Maclure M: The case-crossover design: a method for studying transient effects on the risk of acute events. Am J Epidemiol 1991, 133:144-153.
  • [33]Suissa S: The case-time-control design. Epidemiology 1995, 6:248-253.
  • [34]Wang S, Linkletter C, Maclure M, Dore D, Mor V, Buka S, Wellenius GA: Future cases as present controls to adjust for exposure trend bias in case-only studies. Epidemiology 2011, 22:568-574.
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