K Berencsi1,2, A Sami2, M S Ali2,3, K Marinier4, N Deltour4, S Perez-Gutthann5, L Pedersen1, P Rijnbeek6, J Van der Lei6, F Lapi7, M Simonetti7, C Reyes8, M C J M Sturkenboom9, D Prieto-Alhambra10,11,12. 1. Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark. 2. Pharmaco- and Device Epidemiology, Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK. 3. Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK. 4. Department of Pharmacoepidemiology, Servier, Suresnes, France. 5. RTI Health Solutions, Barcelona, Spain. 6. Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands. 7. Health Search, Italian College of General Practitioners and Primary Care, Florence, Italy. 8. GREMPAL Research Group, Idiap Jordi Gol Primary Care Research Institute and CIBERFes, Universitat Autonoma de Barcelona and Instituto de Salud Carlos III, Barcelona, Spain. 9. Julius Global Health, University Medical Center, Utrecht, The Netherlands. 10. Pharmaco- and Device Epidemiology, Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK. Daniel.prietoalhambra@ndorms.ox.ac.uk. 11. GREMPAL Research Group, Idiap Jordi Gol Primary Care Research Institute and CIBERFes, Universitat Autonoma de Barcelona and Instituto de Salud Carlos III, Barcelona, Spain. Daniel.prietoalhambra@ndorms.ox.ac.uk. 12. Botnar Research Centre, Windmill Road, Oxford, OX37LD, UK. Daniel.prietoalhambra@ndorms.ox.ac.uk.
Abstract
INTRODUCTION: In May 2013 and March 2014, the European Medicines Agency (EMA) issued two decisions restricting the use of strontium ranelate (SR). These risk minimisation measures (RMM) introduced new contraindications and limited the indications of SR therapy. The EMA required an assessment of the impact of RMMs on the use of SR in Europe. Methods design: multi-national, multi-database cohort Setting: electronic medical record databases based on hospital (Denmark) and primary care provenance (Italy, Spain, the Netherlands, UK). PARTICIPANTS: the database source populations were included for population-based analyses, and SR users for patient-level analyses. INTERVENTION: New RMMs included contraindications (ischaemic heart disease, peripheral arterial disease, cerebrovascular disease, uncontrolled hypertension) and restricted SR indication to severe osteoporosis with initiation by experienced physician and not as first line anti-osteoporosis therapy. METHODS: Prevalence and incidence rates of SR use in the population; prevalence of contraindications and restricted indications in SR users, plus 1-year therapy persistence. Drug use measures were calculated in three periods for comparison: reference (2004 to May 2013), transition (June 2013 to March 2014) and assessment (from April 2014 to end 2016). RESULTS: The study population included 143 million person-years(PY) of follow-up and 76,141 incident episodes of SR treatment. Average monthly prevalence rates of SR use dropped by 86.4% from 62.6/10,000 PY (95 CI 62.4-62.9) in the reference to 8.5 (8.5-8.6) in the assessment period. Similarly, the incidence rate of SR use fell by 97.3% from 7.4/10,000 PY (7.4-7.4) to 0.2 (0.2-0.2) between the reference and assessment period. The prevalence of any contraindication decreased, whilst the prevalence of restricted indications increased in these periods. One-year persistence decreased in the assessment compared with reference period. CONCLUSIONS: Our study demonstrates a substantial impact of the regulatory action to restrict use of SR in Europe: SR utilisation overall decreased strongly. The proportion of patients fulfilling the restricted indications, without contraindications, increased after the proposed RMMs.
INTRODUCTION: In May 2013 and March 2014, the European Medicines Agency (EMA) issued two decisions restricting the use of strontium ranelate (SR). These risk minimisation measures (RMM) introduced new contraindications and limited the indications of SR therapy. The EMA required an assessment of the impact of RMMs on the use of SR in Europe. Methods design: multi-national, multi-database cohort Setting: electronic medical record databases based on hospital (Denmark) and primary care provenance (Italy, Spain, the Netherlands, UK). PARTICIPANTS: the database source populations were included for population-based analyses, and SR users for patient-level analyses. INTERVENTION: New RMMs included contraindications (ischaemic heart disease, peripheral arterial disease, cerebrovascular disease, uncontrolled hypertension) and restricted SR indication to severe osteoporosis with initiation by experienced physician and not as first line anti-osteoporosis therapy. METHODS: Prevalence and incidence rates of SR use in the population; prevalence of contraindications and restricted indications in SR users, plus 1-year therapy persistence. Drug use measures were calculated in three periods for comparison: reference (2004 to May 2013), transition (June 2013 to March 2014) and assessment (from April 2014 to end 2016). RESULTS: The study population included 143 million person-years(PY) of follow-up and 76,141 incident episodes of SR treatment. Average monthly prevalence rates of SR use dropped by 86.4% from 62.6/10,000 PY (95 CI 62.4-62.9) in the reference to 8.5 (8.5-8.6) in the assessment period. Similarly, the incidence rate of SR use fell by 97.3% from 7.4/10,000 PY (7.4-7.4) to 0.2 (0.2-0.2) between the reference and assessment period. The prevalence of any contraindication decreased, whilst the prevalence of restricted indications increased in these periods. One-year persistence decreased in the assessment compared with reference period. CONCLUSIONS: Our study demonstrates a substantial impact of the regulatory action to restrict use of SR in Europe: SR utilisation overall decreased strongly. The proportion of patients fulfilling the restricted indications, without contraindications, increased after the proposed RMMs.
Authors: M Del Mar García-Gil; Eduardo Hermosilla; Daniel Prieto-Alhambra; Francesc Fina; Magdalena Rosell; Rafel Ramos; Jordi Rodriguez; Tim Williams; Tjeerd Van Staa; Bonaventura Bolíbar Journal: Inform Prim Care Date: 2011
Authors: Helga Gardarsdottir; Patrick C Souverein; Toine C G Egberts; Eibert R Heerdink Journal: J Clin Epidemiol Date: 2009-10-31 Impact factor: 6.437
Authors: G Trifirò; P M Coloma; P R Rijnbeek; S Romio; B Mosseveld; D Weibel; J Bonhoeffer; M Schuemie; J van der Lei; M Sturkenboom Journal: J Intern Med Date: 2014-06 Impact factor: 8.989
Authors: A E Vlug; J van der Lei; B M Mosseveld; M A van Wijk; P D van der Linden; M C Sturkenboom; J H van Bemmel Journal: Methods Inf Med Date: 1999-12 Impact factor: 2.176
Authors: James D Lewis; Rita Schinnar; Warren B Bilker; Xingmei Wang; Brian L Strom Journal: Pharmacoepidemiol Drug Saf Date: 2007-04 Impact factor: 2.890
Authors: Sigrun Alba Johannesdottir; Erzsébet Horváth-Puhó; Vera Ehrenstein; Morten Schmidt; Lars Pedersen; Henrik Toft Sørensen Journal: Clin Epidemiol Date: 2012-11-12 Impact factor: 4.790
Authors: Junqing Xie; Victoria Y Strauss; Gary S Collins; Sara Khalid; Antonella Delmestri; Aleksandra Turkiewicz; Martin Englund; Mina Tadrous; Carlen Reyes; Daniel Prieto-Alhambra Journal: Front Pharmacol Date: 2022-06-08 Impact factor: 5.988