Demographics, socioeconomic factors, and in-hospital mortality predictors in patients with right heart failure
Rattachement africain : us. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
AIMS: Right heart failure (RHF) is associated with increased morbidity and mortality. We aimed to determine differences in baseline characteristics between survivors and nonsurvivors of index RHF admission, identify predictors of in-hospital mortality, and quantify the 30-day readmission rate. METHODS: We used the Nationwide Readmissions Database (NRD) from 2017 to 2020 to identify a cohort of patients with RHF, stratified by in-hospital mortality status during index admission. Baseline characteristics were compared using Pearson chi-square test and two-sample t-test for categorical and continuous variables, respectively. Multivariate analysis using logistic regression models was used to identify independent predictors of in-hospital mortality. Readmission rates within 30 days were determined by calculating the time to readmission for each patient. RESULTS: There were 12 305 (10.5%) deaths during index admission among 117 633 patients. Nonsurvivors were older (68.7 ± 14.6 years versus 66.5 ± 15.7 years) and more commonly had comorbidities such as major adverse cardiac and cerebrovascular events (MACCE), myocardial infarction, and coronavirus disease 2019 (COVID-19). The strongest predictors of in-hospital mortality (all P < 0.001) were COVID-19 [odds ratio (OR): 5.97 (5.34-6.68)], metastatic cancer [OR: 2.78 (2.52-3.06)], and myocardial infarction [OR: 1.80 (1.71-1.89)]. Over 4 years, 14.5% of index RHF admissions were readmitted within 30 days. CONCLUSIONS: Our study offers insights into patients with RHF who may have a worse prognosis, highlighting the need for evidence-based management of acute and chronic RHF and consideration of advanced therapies. Interventions should be tailored to improve outcomes in RHF.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Demographics, socioeconomic factors, and in-hospital mortality predictors in patients with right heart failure
- Date Crossref
- 01/10/2025
- Éditeur
- Ovid Technologies (Wolters Kluwer Health)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
University Hospitals of Cleveland Department of Internal Medicine pays non établi dans la noticeÉtablissement de santé
-
The University of Texas Health Science Center Department of Internal Medicine pays non établi dans la noticeUniversité ou école supérieure
-
The University of Texas at Austin Department of Integrative Biology pays non établi dans la noticeUniversité ou école supérieure
-
Baylor College of Medicine pays non établi dans la noticeUniversité ou école supérieure
-
SUNY Upstate Medical University pays non établi dans la noticeUniversité ou école supérieure
-
Guthrie Robert Packer Hospital pays non établi dans la noticeÉtablissement de santé
-
The University of Texas Health Science Center at Houston pays non établi dans la noticeUniversité ou école supérieure
-
School of Public Health Department of Epidemiology pays non établi dans la noticeUniversité ou école supérieure
-
Robert Packer Hospital/Guthrie Clinic Department of Internal Medicine pays non établi dans la noticeÉtablissement de santé
Department of Internal Medicine — University Hospitals of Cleveland, Department of Internal Medicine — The University of Texas Health Science Center et Department of Integrative Biology — The University of Texas at Austin, avec 6 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.