Prognostic value of post-discharge depression in patients recently hospitalized with acute heart failure

BackgroundDepression is a prevalent comorbidity in patients with heart failure (HF). However, data regarding the prognostic significance of depression during the early post-discharge period in patients hospitalized with acute HF, regardless of left ventricular ejection fraction (LVEF), were scarce.M...

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Main Authors: Junlei Li, Chao Jiang, Rong Liu, Yiwei Lai, Li Li, Xiaoyan Zhao, Xiaofang Wang, Ling Li, Xin Du, Changsheng Ma, Jianzeng Dong
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.858751/full
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author Junlei Li
Junlei Li
Chao Jiang
Rong Liu
Yiwei Lai
Li Li
Xiaoyan Zhao
Xiaofang Wang
Ling Li
Xin Du
Xin Du
Xin Du
Changsheng Ma
Jianzeng Dong
Jianzeng Dong
author_facet Junlei Li
Junlei Li
Chao Jiang
Rong Liu
Yiwei Lai
Li Li
Xiaoyan Zhao
Xiaofang Wang
Ling Li
Xin Du
Xin Du
Xin Du
Changsheng Ma
Jianzeng Dong
Jianzeng Dong
author_sort Junlei Li
collection DOAJ
description BackgroundDepression is a prevalent comorbidity in patients with heart failure (HF). However, data regarding the prognostic significance of depression during the early post-discharge period in patients hospitalized with acute HF, regardless of left ventricular ejection fraction (LVEF), were scarce.Methods and resultsThe Heart Failure Registry of Patient Outcomes (HERO) study is a prospective, multicenter study of patients hospitalized with acute HF in China. At the first follow-up after discharge (median 4.0, interquartile range [IQR]: 2.4–6.1 weeks), depressive symptoms over the past 2 weeks were assessed using the Patient Health Questionnaire-9 (PHQ-9). Of 3,889 patients, 480 (12.3%) patients had depression (PHQ-9 score ≥ 10). A total of 3,456 patients (11.4% with depression) were included in the prospective analysis. After a median follow-up of 47.1 weeks (IQR: 43.9, 49.3) from the first follow-up, 508 (14.7%) patients died, and 1,479 (42.8%) patients experienced a composite event (death or HF rehospitalization). Cox proportional hazards models were used to assess the association of post-discharge depression with adverse events. After adjustment, post-discharge depression was associated with an increased risk of all-cause mortality (hazard ratio [HR] 2.38 [95% confidence interval (CI): 1.93–2.94]; p < 0.001) and the composite event (HR 1.78 [95% CI: 1.55–2.05]; p < 0.001). A per scale point increase in PHQ-9 score (ranging from 0 to 27 points) was associated with a 7.6% increase in all-cause mortality (HR 1.08 [95% CI: 1.06–1.09]; p < 0.001). In the subgroup analysis, the association between depression and the composite event was significantly stronger in relatively younger patients (< 75 vs. ≥ 75 years; p for interaction = 0.011), and the association between depression and all-cause mortality was significantly stronger in patients with preserved ejection fraction than in those with reduced ejection fraction (p for interaction = 0.036).ConclusionPost-discharge depression in patients recently hospitalized with acute HF is associated with an increased risk of adverse events, regardless of LVEF. Screening for depressive symptoms during the early post-discharge period may help to better identify high-risk patients and tailor patient management. Further studies are needed to determine how regular depression screening can help improve patient management and clinical outcomes.
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spelling doaj.art-cae719d86ff34dc0af37ca3f8378f1382022-12-22T01:34:26ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2022-08-01910.3389/fcvm.2022.858751858751Prognostic value of post-discharge depression in patients recently hospitalized with acute heart failureJunlei Li0Junlei Li1Chao Jiang2Rong Liu3Yiwei Lai4Li Li5Xiaoyan Zhao6Xiaofang Wang7Ling Li8Xin Du9Xin Du10Xin Du11Changsheng Ma12Jianzeng Dong13Jianzeng Dong14Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Cardiology, Beijing AnZhen Hospital, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Capital Medical University, Beijing, ChinaDepartment of Cardiology, Beijing AnZhen Hospital, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Capital Medical University, Beijing, ChinaHeart Health Research Center (HHRC), Beijing, ChinaDepartment of Cardiology, Beijing AnZhen Hospital, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Capital Medical University, Beijing, ChinaDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Cardiology, Beijing AnZhen Hospital, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Capital Medical University, Beijing, ChinaHeart Health Research Center (HHRC), Beijing, ChinaThe George Institute for Global Health, The University of New South Wales, Sydney, NSW, AustraliaDepartment of Cardiology, Beijing AnZhen Hospital, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Capital Medical University, Beijing, ChinaDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Cardiology, Beijing AnZhen Hospital, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Capital Medical University, Beijing, ChinaBackgroundDepression is a prevalent comorbidity in patients with heart failure (HF). However, data regarding the prognostic significance of depression during the early post-discharge period in patients hospitalized with acute HF, regardless of left ventricular ejection fraction (LVEF), were scarce.Methods and resultsThe Heart Failure Registry of Patient Outcomes (HERO) study is a prospective, multicenter study of patients hospitalized with acute HF in China. At the first follow-up after discharge (median 4.0, interquartile range [IQR]: 2.4–6.1 weeks), depressive symptoms over the past 2 weeks were assessed using the Patient Health Questionnaire-9 (PHQ-9). Of 3,889 patients, 480 (12.3%) patients had depression (PHQ-9 score ≥ 10). A total of 3,456 patients (11.4% with depression) were included in the prospective analysis. After a median follow-up of 47.1 weeks (IQR: 43.9, 49.3) from the first follow-up, 508 (14.7%) patients died, and 1,479 (42.8%) patients experienced a composite event (death or HF rehospitalization). Cox proportional hazards models were used to assess the association of post-discharge depression with adverse events. After adjustment, post-discharge depression was associated with an increased risk of all-cause mortality (hazard ratio [HR] 2.38 [95% confidence interval (CI): 1.93–2.94]; p < 0.001) and the composite event (HR 1.78 [95% CI: 1.55–2.05]; p < 0.001). A per scale point increase in PHQ-9 score (ranging from 0 to 27 points) was associated with a 7.6% increase in all-cause mortality (HR 1.08 [95% CI: 1.06–1.09]; p < 0.001). In the subgroup analysis, the association between depression and the composite event was significantly stronger in relatively younger patients (< 75 vs. ≥ 75 years; p for interaction = 0.011), and the association between depression and all-cause mortality was significantly stronger in patients with preserved ejection fraction than in those with reduced ejection fraction (p for interaction = 0.036).ConclusionPost-discharge depression in patients recently hospitalized with acute HF is associated with an increased risk of adverse events, regardless of LVEF. Screening for depressive symptoms during the early post-discharge period may help to better identify high-risk patients and tailor patient management. Further studies are needed to determine how regular depression screening can help improve patient management and clinical outcomes.https://www.frontiersin.org/articles/10.3389/fcvm.2022.858751/fullacute heart failuredepressionheart failure hospitalizationearly post-discharge periodheart failure with preserved ejection fraction
spellingShingle Junlei Li
Junlei Li
Chao Jiang
Rong Liu
Yiwei Lai
Li Li
Xiaoyan Zhao
Xiaofang Wang
Ling Li
Xin Du
Xin Du
Xin Du
Changsheng Ma
Jianzeng Dong
Jianzeng Dong
Prognostic value of post-discharge depression in patients recently hospitalized with acute heart failure
Frontiers in Cardiovascular Medicine
acute heart failure
depression
heart failure hospitalization
early post-discharge period
heart failure with preserved ejection fraction
title Prognostic value of post-discharge depression in patients recently hospitalized with acute heart failure
title_full Prognostic value of post-discharge depression in patients recently hospitalized with acute heart failure
title_fullStr Prognostic value of post-discharge depression in patients recently hospitalized with acute heart failure
title_full_unstemmed Prognostic value of post-discharge depression in patients recently hospitalized with acute heart failure
title_short Prognostic value of post-discharge depression in patients recently hospitalized with acute heart failure
title_sort prognostic value of post discharge depression in patients recently hospitalized with acute heart failure
topic acute heart failure
depression
heart failure hospitalization
early post-discharge period
heart failure with preserved ejection fraction
url https://www.frontiersin.org/articles/10.3389/fcvm.2022.858751/full
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