Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2017 Aug 15;120(4):616-624.
doi: 10.1016/j.amjcard.2017.05.028. Epub 2017 Jun 1.

Etiologies, Trends, and Predictors of 30-Day Readmissions in Patients With Diastolic Heart Failure

Affiliations
Multicenter Study

Etiologies, Trends, and Predictors of 30-Day Readmissions in Patients With Diastolic Heart Failure

Shilpkumar Arora et al. Am J Cardiol. .

Abstract

An estimated half of all heart failure (HF) populations has been categorized to have diastolic HF (DHF), but sparse data are available describing etiologies and predictors of 30-day readmission in DHF population. The study cohort was derived from the National Readmission Database 2013 to 2014, a subset of the Healthcare Cost and Utilization Project sponsored by the Agency for Healthcare Research and Quality. DHF was identified using International Classification of Diseases, 9th Revision code 428.3x in primary diagnosis field. Readmission etiologies were identified by International Classification of Diseases, 9th Revision code in primary diagnosis field. The primary outcome was 30-day readmission. Hierarchical multivariable logistic regression was used to adjust for confounders. In total, 192,394 patients with DHF were included, of which 40,927 (21.27%) patients were readmitted with total readmissions of 47,056 within 30 days. Predictors of increased readmissions were age (odds ratio [OR] 1.002, 95% confidence interval [CI] 1.001 to 1.0003, p <0.001), diabetes (OR 1.08, 95% CI 1.05 to 1.11, p <0.001), chronic pulmonary disease (OR 1.18, 95% CI 1.15 to 1.21, p <0.001), renal failure (OR 1.21, 95% CI 1.17 to 1.25, p <0.001), peripheral vascular disease (OR 1.05, 95% CI 1.02 to 1.09, p = 0.002), anemia (OR 1.12, 95% CI 1.10 to 1.15, p <0.001), transfusion during index admission (OR 1.18, 95% CI 1.13 to 1.23, p <0.001), discharge to the facility (OR 1.13, 95% CI 1.10 to 1.16, p <0.001), length of stay >2 days, and Charlson comorbidity index ≥3, whereas obesity (OR 0.82, 95% CI 0.80 to 0.85, p <0.001), elective admissions (OR 0.88, 95% CI 0.83 to 0.94, p <0.001), and non-Medicare/Medicaid primary payer were predictors of lower readmission rate. Most common etiologies of readmission were acute HF (28.01%), infections (9.54%), acute kidney injury (5.35%), acute respiratory failure (4.86%), and pneumonia (3.92%). In conclusion, DHF population with higher comorbidity burden, longer length of stay, and discharge to facility were prone to increased readmissions, with most common etiologies of readmission being HF, infections, and acute kidney injury.

PubMed Disclaimer

Publication types

MeSH terms

LinkOut - more resources