Atypical Antipsychotics and the Risks of Acute Kidney Injury and Related Outcomes Among Older Adults: A Replication Analysis and an Evaluation of Adapted Confounding Control Strategies
Tóm tắt
A recently published analysis of population-based claims data from Ontario, Canada reported higher risks of acute kidney injury (AKI) and related outcomes among older adults who were new users of atypical antipsychotics (AAPs) compared with unexposed patients. In light of these findings, the objective of the current study was to further investigate the risks of AKI and related outcomes among older adults receiving AAPs. A replication of the previously published analysis was performed using the US Truven MarketScan Medicare Supplemental database (MDCR) among patients aged 65 years and older. Compared with non-users of AAPs, the study compared the risk of AKI and related outcomes with users of AAPs (quetiapine, risperidone, olanzapine, aripiprazole, or paliperidone) using a 1-to-1 propensity score matched analysis. In addition, we performed adapted analyses that: (1) included all covariates used to fit propensity score models in outcome models; and (2) required patients to have a diagnosis of schizophrenia, bipolar disorder, or major depression and a healthcare visit within 90 days prior to the index date. AKI effect estimates [as odds ratios (ORs) with 95% confidence intervals (CIs)] were significantly elevated in our MDCR replication analyses (OR 1.45, 95% CI 1.32–1.60); however, in adapted analyses, associations were not significant (OR 0.91, 95% CI 0.78–1.07)). In analyses of AKI and related outcomes, results were mostly consistent between the previously published and the MDCR replication analyses. The primary change that attenuated associations in adapted analyses was the requirement for patients to have a mental health condition and a healthcare visit prior to the index date. The MDCR analysis yielded similar results when the methodology of the previously published analysis was replicated, but, in adapted analyses, we did not find significantly higher risks of AKI and related outcomes. The contrast of results between our replication and adapted analyses may be due to the analytic approach used to compare patients (and potential confounding by indication). Further research is warranted to evaluate these associations, while also examining methods to account for differences in older adults who do and do not use these medications.
Tài liệu tham khảo
Hwang YJ, Dixon SN, Reiss JP, et al. Atypical antipsychotic drugs and the risk for acute kidney injury and other adverse outcomes in older adults: a population-based cohort study. Ann Intern Med. 2014;161(4):242–8.
Finkel S. Pharmacology of antipsychotics in the elderly: a focus on atypicals. J Am Geriatr Soc. 2004;52(12 Suppl.):S258–65.
Chan SY, Cheung CY, Chan PT, Chau KF. Clozapine-induced acute interstitial nephritis. Hong Kong Med J. 2015;21(4):372–4.
Fraser D, Jibani M. An unexpected and serious complication of treatment with the atypical antipsychotic drug clozapine. Clin Nephrol. 2000;54(1):78–80.
Jullian-Desayes I, Roselli A, Lamy C, et al. Rhabdomyolysis with acute renal failure and deep vein thrombosis induced by antipsychotic drugs: a case report. Pharmacopsychiatry. 2015;48(7):265–7.
Liang CS, Bai YM, Liou YJ, Chou YH. Acute renal failure after paliperidone overdose: a case report. J Clin Psychopharmacol. 2012;32(1):128.
Ahuja N, Palanichamy N, Mackin P, Lloyd A. Olanzapine-induced hyperglycaemic coma and neuroleptic malignant syndrome: case report and review of literature. J Psychopharmacol. 2010;24(1):125–30.
Cohen R, Wilkins KM, Ostroff R, Tampi RR. Olanzapine and acute urinary retention in two geriatric patients. Am J Geriatr Pharmacother. 2007;5(3):241–6.
Duggal HS, Singh I. Neuroleptic malignant syndrome presenting with acute renal failure. Prog Neuropsychopharmacol Biol Psychiatry. 2008;32(4):1074–5.
Khan I, Vasudevan V, Arjomand F, et al. Quetiapine induced fatal neuroleptic malignant syndrome (nms) and hyperosmolar hyperglycemic nonketotic coma (hhnc). Chest. 2011;140(4_MeetingAbstracts):113A-A.
Raitasuo V, Vataja R, Elomaa E. Risperidone-induced neuroleptic malignant syndrome in young patient. Lancet. 1994;344(8938):1705.
Ritchie CW, Chiu E, Harrigan S, et al. A comparison of the efficacy and safety of olanzapine and risperidone in the treatment of elderly patients with schizophrenia: an open study of six months duration. Int J Geriatr Psychiatry. 2006;21(2):171–9.
Sajatovic M, Calabrese JR, Mullen J. Quetiapine for the treatment of bipolar mania in older adults. Bipolar Disord. 2008;10(6):662–71.
Sokolski KN, Brown BJ, Melden M. Urinary retention following repeated high-dose quetiapine. Ann Pharmacother. 2004;38(5):899–900.
Knol W, van Marum RJ, Jansen PA, et al. Antipsychotic drug use and risk of pneumonia in elderly people. J Am Geriatr Soc. 2008;56(4):661–6.
Pariente A, Fourrier-Reglat A, Ducruet T, et al. Antipsychotic use and myocardial infarction in older patients with treated dementia. Arch Intern Med. 2012;172(8):648–53 (discussion 54–5).
Ray WA, Chung CP, Murray KT, et al. Atypical antipsychotic drugs and the risk of sudden cardiac death. N Engl J Med. 2009;360(3):225–35.
Ioannidis JP. Why most published research findings are false. PLoS Med. 2005;2(8):e124.
Madigan D, Ryan PB, Schuemie M, et al. Evaluating the impact of database heterogeneity on observational study results. Am J Epidemiol. 2013;178(4):645–51.
Madigan D, Ryan PB, Schuemie M. Does design matter? Systematic evaluation of the impact of analytical choices on effect estimates in observational studies. Ther Adv Drug Saf. 2013;4(2):53–62.
Ryan PB, Stang PE, Overhage JM, et al. A comparison of the empirical performance of methods for a risk identification system. Drug Saf. 2013;36(Suppl. 1):S143–58.
Schuemie MJ, Ryan PB, DuMouchel W, et al. Interpreting observational studies: why empirical calibration is needed to correct p-values. Stat Med. 2014;33(2):209–18.
Reich C, Ryan PB, Stang PE, Rocca M. Evaluation of alternative standardized terminologies for medical conditions within a network of observational healthcare databases. J Biomed Inform. 2012;45(4):689–96.
Graves JW, White CL, Szychowski JM, et al. Predictors of lowering SBP to assigned targets at 12 months in the Secondary Prevention of Small Subcortical Strokes study. J Hypertens. 2012;30(6):1233–40.
Suchard MA, Simpson SE, Zorych I, et al. Massive parallelization of serial inference algorithms for a complex generalized linear model. ACM Trans Model Comput Simul. 2013;23(1):1–18.
