The 30-day metric in acute heart failure revisited: Data from IN-HF Outcome, an Italian nationwide cardiology registry

40Citations
Citations of this article
68Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Aims Unplanned readmissions early after a discharge from acute heart failure hospitalization are common and have become a reimbursement benchmark and marker of hospital quality. However, the competing risk of short-term post-discharge mortality is substantial. Methods and results Using data from the prospective, nationwide Registry IN-HF Outcome, we analysed the incidence and predictors of 30-day mortality or readmissions and associated days-alive-out-of-hospital (DAOH) in 1520 patients discharged alive after admission for acute heart failure. Within 30 days after discharge, 94 patients (6.2%) were readmitted (91% for cardiovascular causes; 60% recurrent heart failure) and 42 (2.8%) died, 10 of which occurred during readmission. Overall, 126 patients (8.3%) met the combined endpoint. By multivariable logistic regression, worsening chronic heart failure as clinical presentation [odds ratio (OR) 1.83, 95% confidence interval (CI) 1.21-2.77, P = 0.005), inotropes during admission (OR 2.19, 95% CI 1.40-3.43, P = 0.0006), length of stay (OR 1.02, 95% CI 1.01-1.04, P = 0.002) and renin-angiotensin system inhibitors at discharge (OR 0.52, 95%CI 0.35-0.77, P = 0.001) independently predicted 30-day all-cause mortality and/or readmission (c-statistic = 0.695). Per cent 30-day DAOH was lower in patients with in-hospital inotrope use, no renin-angiotensin system inhibitors prescription at discharge, New York Heart Association III-IV class at discharge, and correlated inversely with length of stay and age. Conclusion A clinical and biohumoral profile consistent with chronic advanced heart failure and end-organ damage identifies acute heart failure patients discharged home from cardiology units, who are at highest risk of early death and/or readmission. These findings have practical implications for tailoring specific follow-up.

References Powered by Scopus

ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2008

2858Citations
N/AReaders
Get full text

The global health and economic burden of hospitalizations for heart failure: Lessons learned from hospitalized heart failure registries

1676Citations
N/AReaders
Get full text

Diagnoses and timing of 30-day readmissions after hospitalization for heart failure, acute myocardial infarction, or pneumonia

848Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Utility of models to predict 28-day or 30-day unplanned hospital readmissions: An updated systematic review

211Citations
N/AReaders
Get full text

Chronic heart failure in the Russian Federation: what has changed over 20 years of follow-up? Results of the EPOCH-CHF study

116Citations
N/AReaders
Get full text

Cardiac device therapy in patients with left ventricular dysfunction and heart failure: ‘real-world’ data on long-term outcomes (mortality, hospitalizations, days alive and out of hospital)

47Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Di Tano, G., De Maria, R., Gonzini, L., Aspromonte, N., Di Lenarda, A., Feola, M., … Tavazzi, L. (2015). The 30-day metric in acute heart failure revisited: Data from IN-HF Outcome, an Italian nationwide cardiology registry. European Journal of Heart Failure, 17(10), 1032–1041. https://doi.org/10.1002/ejhf.290

Readers over time

‘15‘16‘17‘18‘19‘20‘21‘22‘23‘24‘25036912

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 16

52%

Researcher 12

39%

Professor / Associate Prof. 2

6%

Lecturer / Post doc 1

3%

Readers' Discipline

Tooltip

Medicine and Dentistry 23

72%

Nursing and Health Professions 6

19%

Pharmacology, Toxicology and Pharmaceut... 2

6%

Decision Sciences 1

3%

Article Metrics

Tooltip
Mentions
News Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free
0