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Association of Previous Hospitalization for Heart Failure With Increased Mortality in Patients Hospitalized for Acute Decompensated Heart Failure.

ABSTRACT: Background: We sought to explore the effects of previous heart failure (HF) hospitalization on mortality in patients hospitalized for acute decompensated HF (ADHF) in a large Japanese contemporary observational database. Methods?and?Results: We prospectively enrolled consecutive patients with ADHF in 19 participating hospitals between October 2014 and March 2016. Of 4,056 patients, 1,442 patients (35.4%) had at least 1 previous HF hospitalization (previous hospitalization group), while 2,614 patients (64.5%) did not have a history of HF hospitalization (de novo hospitalization group). Patients with previous hospitalization were older and more often had comorbidities such as anemia, and renal failure than those without. The cumulative 1-year incidence of all-cause death was significantly higher in the previous hospitalization group than in the de novo hospitalization group (28% vs. 19%, P<0.001). After adjusting confounders, the excess risk of the previous hospitalization group relative to the de novo hospitalization group for all-cause death remained significant (HR, 1.28; 95% CI: 1.10-1.50, P=0.001). The excess risk was significant in patients without advanced age, anemia, or renal failure, but not significant in patients with these comorbidities, with significant interaction. Increase in the number of hospitalizations was associated with an increased risk for mortality. Conclusions: In a contemporary ADHF cohort in Japan, repeated hospitalization was associated with an increasing, higher risk for 1-year mortality.

SUBMITTER: Su K

PROVIDER: S-EPMC7897572 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Association of Previous Hospitalization for Heart Failure With Increased Mortality in Patients Hospitalized for Acute Decompensated Heart Failure.

Su Kanae K Kato Takao T Toyofuku Mamoru M Morimoto Takeshi T Yaku Hidenori H Inuzuka Yasutaka Y Tamaki Yodo Y Ozasa Neiko N Yamamoto Erika E Yoshikawa Yusuke Y Motohashi Yasuyo Y Watanabe Hiroki H Kitai Takeshi T Taniguchi Ryoji R Iguchi Moritake M Kato Masashi M Nagao Kazuya K Kawai Takafumi T Komasa Akihiro A Nishikawa Ryusuke R Kawase Yuichi Y Morinaga Takashi T Jinnai Toshikazu T Kawato Mitsunori M Sato Yukihito Y Kuwahara Koichiro K Tamura Takashi T Kimura Takeshi T

Circulation reports 20191026 11

Background: We sought to explore the effects of previous heart failure (HF) hospitalization on mortality in patients hospitalized for acute decompensated HF (ADHF) in a large Japanese contemporary observational database. Methods and Results: We prospectively enrolled consecutive patients with ADHF in 19 participating hospitals between October 2014 and March 2016. Of 4,056 patients, 1,442 patients (35.4%) had at least 1 previous HF hospitalization (previous hospitaliza ...[more]

PMID: 33693094

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Project description:BackgroundCongestion is the most frequent cause for hospitalization in acute decompensated heart failure. Although decongestion is a major goal of acute therapy, it is unclear how the clinical components of congestion (eg, peripheral edema, orthopnea) contribute to outcomes after discharge or how well decongestion is maintained.Methods and resultsA post hoc analysis was performed of 496 patients enrolled in the Diuretic Optimization Strategy Evaluation in Acute Decompensated Heart Failure (DOSE-AHF) and Cardiorenal Rescue Study in Acute Decompensated Heart Failure (CARRESS-HF) trials during hospitalization with acute decompensated heart failure and clinical congestion. A simple orthodema congestion score was generated based on symptoms of orthopnea (≥2 pillows=2 points, <2 pillows=0 points) and peripheral edema (trace=0 points, moderate=1 point, severe=2 points) at baseline, discharge, and 60-day follow-up. Orthodema scores were classified as absent (score of 0), low-grade (score of 1-2), and high-grade (score of 3-4), and the association with death, rehospitalization, or unscheduled medical visits through 60 days was assessed. At baseline, 65% of patients had high-grade orthodema and 35% had low-grade orthodema. At discharge, 52% patients were free from orthodema at discharge (score=0) and these patients had lower 60-day rates of death, rehospitalization, or unscheduled visits (50%) compared with those with low-grade or high-grade orthodema (52% and 68%, respectively; P=0.038). Of the patients without orthodema at discharge, 27% relapsed to low-grade orthodema and 38% to high-grade orthodema at 60-day follow-up.ConclusionsIncreased severity of congestion by a simple orthodema assessment is associated with increased morbidity and mortality. Despite intent to relieve congestion, current therapy often fails to relieve orthodema during hospitalization or to prevent recurrence after discharge.Clinical trial registrationURL: http://www.clinicaltrials.gov. Unique identifiers: NCT00608491, NCT00577135.

Project description:Background Our aim was to calibrate and externally revalidate the ELAN-HF (European Collaboration on Acute Decompensated Heart Failure) score, to confirm and improve on a previous external validation of the risk score. Methods and Results The ELAN-HF score predicts 6-month all-cause mortality in patients hospitalized for acute decompensated heart failure using absolute and percentage change of NT-proBNP (N-terminal pro-B-type natriuretic peptide) levels in addition to clinical variables. For the external validation, we used the PRIMA II (Can NT-proBNP-Guided Therapy During Hospital Admission for Acute Decompensated Heart Failure Reduce Mortality and Readmissions?) trial. For both data sets, observed versus predicted mortality was compared for the 4 risk categories; and the mean predicted mortality was plotted against the observed mortality with calculation of a correlation coefficient and SEE. The model discriminant ability was determined by comparing the C-statistics for both data sets. The predicted versus actual 6-month mortality values in the derivation cohort were 3.7% versus 3.6% for the low-risk category, 9.4% versus 9.2% for the intermediate-risk category, 24.2% versus 23.5% for the high-risk category, and 54.2% versus 51.1% for the very-high-risk category. The correlation between predicted and observed mortality by deciles was 0.92, with an SEE of ±4%. In the validation cohort, predicted versus actual 6-month mortality values were 3.0% versus 2.2% for the low-risk category, 9.4% versus 8.2% for the intermediate-risk category, 25.0% versus 22.9% for the high-risk category, and 56.8% versus 53.6% for the very-high-risk category. The correlation between predicted and actual mortality by quintiles was 0.99, with an SEE of ±2%. There was no significant difference in C-statistic between the derivation cohort (0.78; 95% CI, 0.74-0.82) and the validation cohort (0.77; 95% CI, 0.69-0.84; P=0.693). Conclusions Our study confirms that the ELAN-HF score predicts accurately 6-month mortality in patients hospitalized for acute decompensated heart failure with the use of easily obtained characteristics.

Project description:BackgroundWith higher adoption of electronic health records at health-care centers, electronic search algorithms (computable phenotype) for identifying acute decompensated heart failure (ADHF) among hospitalized patients can be an invaluable tool to enhance data abstraction accuracy and efficacy in order to improve clinical research accrual and patient centered outcomes. We aimed to derive and validate a computable phenotype for ADHF in hospitalized patients.MethodsWe screened 256, 443 eligible (age > 18 years and with prior research authorization) individuals who were admitted to Mayo Clinic Hospital in Rochester, MN, from January 1, 2006, through December 31, 2014. Using a randomly selected derivation cohort of 938 patients, several iterations of a free-text electronic search were developed and refined. The computable phenotype was subsequently validated in an independent cohort 100 patients. The sensitivity and specificity of the computable phenotype were compared to the gold standard (expert review of charts) and International Classification of Diseases-9 (ICD-9) codes for Acute Heart Failure.ResultsIn the derivation cohort, the computable phenotype achieved a sensitivity of 97.5%, and specificity of 100%, whereas ICD-9 codes for Acute Heart Failure achieved a sensitivity of 47.5% and specificity of 96.7%. When all Heart Failure codes (ICD-9) were used, sensitivity and specificity were 97.5 and 86.6%, respectively. In the validation cohort, the sensitivity and specificity of the computable phenotype were 100 and 98.5%. The sensitivity and specificity for the ICD-9 codes (Acute Heart Failure) were 42 and 98.5%. Upon use of all Heart Failure codes (ICD-9), sensitivity and specificity were 96.8 and 91.3%.ConclusionsOur results suggest that using computable phenotype to ascertain ADHF from the clinical notes contained within the electronic medical record are feasible and reliable. Our computable phenotype outperformed ICD-9 codes for the detection of ADHF.

Dataset Information

Association of Previous Hospitalization for Heart Failure With Increased Mortality in Patients Hospitalized for Acute Decompensated Heart Failure.

Publications

Association of Previous Hospitalization for Heart Failure With Increased Mortality in Patients Hospitalized for Acute Decompensated Heart Failure.

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