Abstract
Background: Early treatment discontinuation will have a negative effect on a drug’s benefit-risk profile if discontinuation occurs earlier in time than the positive effects of treatment. This non-persistence of therapy has been associated with an increased risk of adverse health outcomes.
Objective: The aim of this study was to explore relationships between patient characteristics and reasons for and time to discontinuation of rimonabant therapy, focusing on psychiatric events, because these were the main safety concerns for rimonabant.
Methods: A modified prescription-event monitoring (M-PEM) study was conducted for rimonabant. Descriptive statistics were used to describe the patient population. Rate ratios with 95% confidence intervals (CIs) were calculated to explore associations between patient characteristics and selected categories of reasons for stopping (RfS). Median times to discontinuation were compared using the Mann-Whitney U test.
Results: The cohort comprised 10 011 users of rimonabant, three of which were excluded from this analysis because of missing age or sex. A total of 7204 patients (72.0%) stopped using rimonabant (median observation time 323 days, interquartile range: 279–371 days). In addition, patients with a history of psychiatric illness were more likely to discontinue rimonabant therapy early for all reasons, but most pronounced due to psychiatric events (rate ratio 1.79; 95% CI 1.54, 2.09) than those without a history of psychiatric illness. In contrast, the rates of discontinuation due to lack of effectiveness, any clinical events and psychiatric events in patients with cardiovascular disease, type 2 diabetes mellitus, dyslipidaemia or hypertension tended to be lower (not all being significant) than those without. For patients who discontinued treatment due to lack of effectiveness, the median time to discontinuation was significantly shorter for patients with a history of psychiatric illness, compared with patients without a history of psychiatric illness (86 vs 97 days, p = 0.03). For patients discontinuing treatment due to psychiatric events, the difference in median time to discontinuation was also 11 days (64 vs 75 days, p = 0.38), although not statistically significant. For patients stopping due to any clinical event, median time to discontinuation was comparable for patients with and without a history of psychiatric illness (61 vs 63 days, p = 0.90).
Conclusions: In this study, reasons for and time to discontinuation were associated with patient characteristics such as medical history. Patients discontinued treatment because of psychiatric events early after starting. In general, identification and characterization of early discontinuers, and increasing the understanding of reasons for stopping, may help healthcare professionals to develop targeted interventions to further improve treatment compliance, thereby optimizing treatment benefits and drug safety.
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Notes
1 Definition of an event in Prescription-Event Monitoring: “any new diagnosis, any reason for referral to a consultant or admission to hospital, any unexpected deterioration (or improvement) in a concurrent illness, any suspected drug reaction, any alteration of clinical importance in laboratory values, or any other complaint that was considered of sufficient importance to enter into the patient’s notes.”
References
Summary of product characteristics: Acomplia. Paris: Sanofi-Aventis, 2006 [online]. Available from URL: http://www.ema.europa.eu/docs/en_GB/document_library/EPAR_-_Product_Information/human/000666/WC500021287.pdf [Accessed 2010 Dec 20]
Pavon FJ, Bilbao A, Hernandez-Folgado L, et al. Anti-obesity effects of the novel in vivo neutral cannabinoid receptor antagonist 5-(4-chlorophenyl)-1-(2,4-dichlorophenyl)-3-hexyl-1H-1,2,4-triazole-LH 21. Neuropharmacology 2006; 51(2): 358–66
Parolaro D, Realini N, Vigano D, et al. The endocannabinoid system and psychiatric disorders. Exp Neurol 2010; 224(1): 3–14
European Public Assessment Report (EPAR) for Acomplia®. Committee for Medicinal Products for Human Use (CHMP) [online]. Available from URL: http://www.emea.europa.eu/humandocs/Humans/EPAR/acomplia/acomplia.htm [Accessed 2010 Aug 03]
Rumsfeld JS, Nallamothu BK. The hope and fear of rimonabant. JAMA 2008; 299(13): 1601–2
The European Medicines Agency recommends suspension of the marketing authorisation of Acomplia. Committee for Medicinal Products for Human Use [online]. Available from URL: http://www.emea.europa.eu/humandocs/PDFs/EPAR/acomplia/53777708en.pdf [Accessed 2010 Aug 24]
Buggy Y, Cornelius V, Wilton L, et al. Risk of depressive episodes with rimonabant: a before and after modified prescription event monitoring study conducted in England. Drug Saf 2011; 34(6): 501–9
Hershman DL, Shao T, Kushi LH, et al. Early discontinuation and non-adherence to adjuvant hormonal therapy are associated with increased mortality in women with breast cancer. Breast Cancer Res Treat 2011; 126(2): 529–37
Ho PM, Peterson ED, Wang L, et al. Incidence of death and acute myocardial infarction associated with stopping clopidogrel after acute coronary syndrome. JAMA 2008; 299(5): 532–9
Hiligsmann M, Rabenda V, Gathon HJ, et al. Potential clinical and economic impact of nonadherence with osteoporosis medications. Calcif Tissue Int 2010; 86(3): 202–10
Hugenholtz GW, Heerdink ER, Meijer WE, et al. Reasons for switching between antipsychotics in daily clinical practice. Pharmacopsychiatry 2005; 38(3): 122–4
Van Geffen EC, van der Wal SW, van Hulten R, et al. Evaluation of patients’ experiences with antidepressants reported by means of a medicine reporting system. Eur J Clin Pharmacol 2007; 63(12): 1193–9
Breekveldt-Postma NS, Gerrits CM, Lammers JW, et al. Persistence with inhaled corticosteroid therapy in daily practice. Respir Med 2004; 98(8): 752–9
Mantel-Teeuwisse AK, Goettsch WG, Klungel OH, et al. Long term persistence with statin treatment in daily medical practice. Heart 2004; 90(9): 1065–6
Van Wijk BL, Klungel OH, Heerdink ER, et al. Rate and determinants of 10-year persistence with antihypertensive drugs. J Hypertens 2005; 23(11): 2101–7
Van Geffen EC, van Hulten R, Bouvy ML, et al. Characteristics and reasons associated with nonacceptance of selective serotonin-reuptake inhibitor treatment. Ann Pharmacother 2008; 42(2): 218–25
BBC News. Weight loss pill warning issued, 19 July 2007 [online]. Available from URL: http://news.bbc.co.uk/2/hi/health/6907160.stm [Accessed 2012 Jan 10]
The Telegraph. Study links slimming drug to depression, 15 November 2007 [online]. Available from URL: http://www.telegraph.co.uk/news/uknews/1569548/Study-links-slimming-drug-to-depression.html [Accessed 2012 Jan 10]
Daily Mail. Weight-loss pill taken by 40,000 ‘can lead to suicidal thought’, 15 November 2007 [online]. Available from URL: http://www.dailymail.co.uk/health/article-494365/Weight-loss-pill-taken-40-000-lead-suicidal-thoughts.html [Accessed 2012 Jan 10]
Willemen MJ, Mantel-Teeuwisse AK, Straus SM, et al. Cardiovascular and psychiatric risk profile and patterns of use in patients starting anti-obesity drugs. Pharmacoepidemiol Drug Saf 2009; 18(7): 631–8
Willemen MJ, Mantel-Teeuwisse AK, Straus SM, et al. Psychiatric and cardiovascular co-morbidities in patients with diabetes mellitus starting anti-obesity drug. Obesity (Silver Spring) 2008; 16(10): 2331–5
Layton D, Hazell L, Shakir S. Modified prescription-event monitoring studies. Drug Saf 2011; 34(12): e1–9
Gonzalez JS, Peyrot M, McCarl LA, et al. Depression and diabetes treatment nonadherence: a meta-analysis. Diabetes Care 2008; 31(12): 2398–403
Valenstein M, Blow FC, Copeland LA, et al. Poor anti-psychotic adherence among patients with schizophrenia: medication and patient factors. Schizophr Bull 2004; 30(2): 255–64
Zygmunt A, Olfson M, Boyer CA, et al. Interventions to improve medication adherence in schizophrenia. Am J Psychiatry 2002; 159(10): 1653–64
Nose M, Barbui C, Gray R, et al. Clinical interventions for treatment non-adherence in psychosis: meta-analysis. Br J Psychiatry 2003; 183: 197–206
Hazell L, Shaki SA. Under-reporting of adverse drug reactions: a systematic review. Drug Saf 2006; 29: 385–6
Acomplia: procedural steps taken and scientific information after authorisation [online]. Available from URL: http://www.ema.europa.eu/docs/en_GB/document_library/EPAR_-_Procedural_steps_taken_and_scientific_information_after_authorisation/human/000666/WC500021286.pdf [Accessed 2010 Dec 12]
Lavie CJ, Milani RV, Ventura HO. Obesity and cardiovascular disease: risk factor, paradox, and impact of weight loss. J Am Coll Cardiol 2009; 53(21): 1925–32
Kahn SE, Hull RL, Utzschneider KM. Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature 2006; 444(7121): 840–6
Giovannucci E, Michaud D. The role of obesity and related metabolic disturbances in cancers of the colon, prostate, and pancreas. Gastroenterology 2007; 132(6): 2208–25
Van Wijk BL, Klungel OH, Heerdink ER, et al. Effectiveness of interventions by community pharmacists to improve patient adherence to chronic medication: a systematic review. Ann Pharmacother 2005; 39(2): 319–28
Nietert PJ, Tilley BC, Zhao W, et al. Two pharmacy interventions to improve refill persistence for chronic disease medications: a randomized, controlled trial. Med Care 2009; 47(1): 32–40
Machado M, Bajcar J, Guzzo GC, et al. Sensitivity of patient outcomes to pharmacist interventions, part I: systematic review and meta-analysis in diabetes management. Ann Pharmacother 2007; 41(10): 1569–82
Machado M, Bajcar J, Guzzo GC, et al. Sensitivity of patient outcomes to pharmacist interventions. Part II: Systematic review and meta-analysis in hypertension management. Ann Pharmacother 2007; 41(11): 1770–81
Shakir S. Prescription-event monitoring. In: Mann RD, Andrews EB, editors. Pharmacovigilance. Chichester: John Wiley & Sons Ltd, 2007: 307–16
McAvoy BR, Kaner EF. General practice postal surveys: a questionnaire too far? BMJ 1996; 313(7059): 732–3
Martin RM, Kapoor KV, Wilton LV, et al. Underreporting of suspected adverse drug reactions to newly marketed (‘black triangle’) drugs in general practice: observational study. BMJ 1998; 317(7151): 119–20
Acknowledgements
All authors declare no conflict of interest relevant to the subject matter or materials discussed in the manuscript. The division of Pharmacoepidemiology & Clinical Pharmacology employing authors Marjolein J.C. Willemen, Aukje K. Mantel-Teeuwisse, Hubert G.M. Leufkens and Toine C.G. Egberts has received unrestricted funding for pharmacoepidemiological research from GlaxoSmithKline, the private-public funded Top Institute Pharma ((www.tipharma.nl, includes co-funding from universities, government and industry), the Dutch Medicines Evaluation Board, and the Dutch Ministry of Health.
The DSRU is an independent charity (no. 327206), and is an Associate Department of the School of Pharmacy and Biomedical Sciences, University of Portsmouth. It receives unconditional donations from pharmaceutical companies. The companies have no control on the conduct or the publication of the studies conducted by the DSRU. The Unit has received such funds from the manufacturer of rimonabant. We are grateful to the DSRU and the thousands of doctors across England who provide the DSRU with the safety information that makes its public health work possible. We would also like to acknowledge the contribution of the NHSRx, without which PEM would not be possible.
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Willemen, M.J.C., Mantel-Teeuwisse, A.K., Buggy, Y. et al. Reasons for and Time to Discontinuation of Rimonabant Therapy. Drug Saf 35, 1147–1158 (2012). https://doi.org/10.1007/BF03262000
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DOI: https://doi.org/10.1007/BF03262000