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Polypharmacy and risk of mortality among patients with heart failure following hospitalization: a nested case-control study.

ABSTRACT: Heart failure (HF) is associated with morbidity, rehospitalization and polypharmacy. The incidence rate of mortality in HF patients with polypharmacy is poorly studied. We examine the association of polypharmacy with mortality risk in incident hospitalized HF patients with a primary diagnosis after discharge from the hospital using Quebec administrative databases, Canada from 1999 to 2015. Polypharmacy, cardiovascular (CV) polypharmacy and non-CV polypharmacy were respectively defined as exposure to ≥ 10 drugs, ≥ 5 CV drugs and ≥ 5 non-CV drugs within three months prior to the case or the control selection date. We conducted a nested case-control study to estimate rate ratios (RR) of all-cause mortality using a multivariate conditional logistic regression during one-year of follow-up. We identified 12,242 HF patients with a mean age of 81.6 years. Neither CV polypharmacy (RR 0.97, 95%CI 0.82-1.15) nor non-CV polypharmacy (RR 0.93, 95%CI 0.77-1.12) were associated with lower mortality risk. However, all polypharmacy (RR 1.31, 95%CI 1.07-1.61) showed an association with mortality risk. Myocardial infarction, valvular disease, peripheral artery disease, diabetes, major bleeding, chronic kidney disease, high comorbidity score, high Frailty score, hydralazine and spironolactone users were associated with increasing mortality risk, ranging from 15 to 61%, while use of angiotensin II inhibitors, beta-blockers, statins, anticoagulant, and antiplatelets were associated with lower risk, ranging from 23 to 32%.

SUBMITTER: Perreault S

PROVIDER: S-EPMC9675839 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Polypharmacy and risk of mortality among patients with heart failure following hospitalization: a nested case-control study.

Perreault Sylvie S Schnitzer Mireille E ME Disso Eliane E Qazi Jakub J Boivin-Proulx Laurie-Anne LA Dorais Marc M

Scientific reports 20221119 1

Heart failure (HF) is associated with morbidity, rehospitalization and polypharmacy. The incidence rate of mortality in HF patients with polypharmacy is poorly studied. We examine the association of polypharmacy with mortality risk in incident hospitalized HF patients with a primary diagnosis after discharge from the hospital using Quebec administrative databases, Canada from 1999 to 2015. Polypharmacy, cardiovascular (CV) polypharmacy and non-CV polypharmacy were respectively defined as exposur ...[more]

PMID: 36402903

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Project description:AimsRisk prediction indices used in worsening heart failure (HF) vary in complexity, performance, and the type of datasets in which they were validated. We compared the performance of seven risk prediction indices in a contemporary cohort of patients hospitalized for HF.Methods and resultsWe assessed the performance of the Length of stay and number of Emergency department visits in the prior 6 months (LE), Length of stay, number of Emergency department visits in the prior 6 months, and admission N-Terminal prohormone of brain natriuretic peptide (NT-proBNP (LENT), Length of stay, Acuity, Charlson co-morbidity index, and number of Emergency department visits in the prior 6 months (LACE), Get With The Guidelines Heart Failure (GWTG), Readmission Risk Score (RRS), Enhanced Feedback for Effective Cardiac Treatment model (EFFECT), and Acute Decompensated Heart Failure National Registry (ADHERE) risk indices among consecutive patients hospitalized for HF and discharged alive from January 2017 to December 2019 in a network of hospitals in England. The primary composite outcome was 30-day all-cause mortality or readmission. We assessed model discrimination and overall accuracy using the C-statistic (higher values, better) and Brier score (lower values, better), respectively. Among 1206 patients in the cohort, 45.0% were female, mean (SD) age was 76.6 (11.7) years, and mean (SD) left ventricular ejection fraction was 43.0% (11.6). At 30 days, 236 (19.6%) patients were readmitted and 28 (2.3%) patients died, with 264 (21.9%) patients experiencing either readmission or death. The LENT index offered the combination of greatest risk discrimination and accuracy for the primary composite outcome (C-statistic: 0.97; 95% CI 0.96, 0.98; 0.29; Brier score: 0.05). The LE (C-statistic: 0.95; 95% CI 0.93, 0.96; Brier score: 0.06) and LACE (C-statistic: 0.90; 95% CI 0.88, 0.92; Brier score 0.09) indices had high discrimination and accuracy. Discrimination and accuracy were modest with the RRS (C-statistic: 0.65; 95% CI 0.61, 0.69; Brier score: 0.16) and EFFECT (C-statistic: 0.64; 95% CI 0.60, 0.67; Brier score: 0.16) score; and poor with the GWTG-HF (C-statistic: 0.62; 95% CI 0.58, 0.66; Brier score: 0.17) and ADHERE (C-statistic: 0.54; 95% CI 0.50, 0.57; Brier score: 0.17) scores.ConclusionsIn a study that compared the performance of seven risk prediction indices in a contemporary cohort of patients hospitalized for HF, the simple LENT index offered the greatest combination of discrimination and accuracy for the primary composite outcome of 30-day all-cause mortality or readmission. This three-variable index -using length of hospital stay, preceding emergency department visits and admission NT-proBNP level- is a practical and reliable way to assess prognosis following hospitalization for HF.

Project description:ObjectivesThis study sought to describe the patterns of heart failure (HF)-exacerbating medications used among older adults hospitalized for HF and to examine determinants of HF-exacerbating medication use.BackgroundHF-exacerbating medications can potentially contribute to adverse outcomes and could represent an important target for future strategies to improve post-hospitalization outcomes.MethodsMedicare beneficiaries ≥65 years of age with an adjudicated HF hospitalization between 2003 and 2014 were derived from the geographically diverse REGARDS (Reasons for Geographic and Racial Difference in Stroke) cohort study. Major HF-exacerbating medications, defined as those listed on the 2016 American Heart Association Scientific Statement listing medications that can precipitate or induce HF, were examined. Patterns of prescribing medications at hospital admission and at discharge were examined, as well as changes that occurred between admission and discharge; and a multivariable logistic regression analysis was conducted to identify determinants of harmful prescribing practices following HF hospitalization (defined as either the continuation of an HF-exacerbating medications or an increase in the number of HF-exacerbating medications between hospital admission and discharge).ResultsAmong 558 unique individuals, 18% experienced a decrease in the number of HF-exacerbating medications between admission and discharge, 19% remained at the same number, and 12% experienced an increase. Multivariable logistic regression analysis revealed that diabetes (odds ratio [OR]: 1.80; 95% confidence interval [CI]: 1.18 to 2.75]) and small hospital size (OR: 1.93; 95% CI: 1.18 to 3.16) were the strongest, independently associated determinants of harmful prescribing practices.ConclusionsHF-exacerbating medication regimens are often continued or started following an HF hospitalization. These findings highlight an ongoing need to develop strategies to improve safe prescribing practices in this vulnerable population.

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Polypharmacy and risk of mortality among patients with heart failure following hospitalization: a nested case-control study.

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Polypharmacy and risk of mortality among patients with heart failure following hospitalization: a nested case-control study.

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