Literature DB >> 33094886

Frequency, trends and institutional variation in 30-day all-cause mortality and unplanned readmissions following hospitalisation for heart failure in Australia and New Zealand.

Clementine Labrosciano1, Dennis Horton1, Tracy Air1, Rosanna Tavella1,2, John F Beltrame1,2, Christopher J Zeitz1,2, Harlan M Krumholz3,4,5, Robert J T Adams6, Ian A Scott7,8, Martin Gallagher9, Sadia Hossain1, Saranya Hariharaputhiran1, Isuru Ranasinghe10,11.   

Abstract

AIMS: National 30-day mortality and readmission rates after heart failure (HF) hospitalisations are a focus of US policy intervention and yet have rarely been assessed in other comparable countries. We examined the frequency, trends and institutional variation in 30-day mortality and unplanned readmission rates after HF hospitalisations in Australia and New Zealand. METHODS AND
RESULTS: We included patients >18 years hospitalised with HF at all public and most private hospitals from 2010-15. The primary outcomes were the frequencies of 30-day mortality and unplanned readmissions, and the institutional risk-standardised mortality rate (RSMR) and readmission rate (RSRR) evaluated using separate cohorts. The mortality cohort included 153 592 patients (mean age 78.9 ± 11.8 years, 51.5% male) with 16 442 (10.7%) deaths within 30 days. The readmission cohort included 148 704 patients (mean age 78.6 ± 11.9 years, 51.7% male) with 33 158 (22.3%) unplanned readmission within 30 days. In 392 hospitals with at least 25 HF hospitalisations, the median RSMR was 10.7% (range 6.1-17.3%) with 59 hospitals significantly different from the national average. Similarly, in 391 hospitals with at least 25 HF hospitalisations, the median RSRR was 22.3% (range 17.7-27.1%) with 24 hospitals significantly different from the average. From 2010-15, the adjusted 30-day mortality [odds ratio (OR) 0.991/month, 95% confidence interval (CI) 0.990-0.992, P < 0.01] and unplanned readmission (OR 0.998/month, 95% CI 0.998-0.999, P < 0.01) rates declined.
CONCLUSION: Within 30 days of a HF hospitalisation, one in 10 patients died and almost a quarter of those surviving experienced an unplanned readmission. The risk of these outcomes varied widely among hospitals suggesting disparities in HF care quality. Nevertheless, a substantial decline in 30-day mortality and a modest decline in readmissions occurred over the study period.
© 2020 European Society of Cardiology.

Entities:  

Keywords:  Cardiovascular disease; Heart failure; Hospitalisation; Policy; Readmission

Mesh:

Year:  2020        PMID: 33094886     DOI: 10.1002/ejhf.2030

Source DB:  PubMed          Journal:  Eur J Heart Fail        ISSN: 1388-9842            Impact factor:   15.534


  3 in total

1.  External Validation of the Hospital Frailty-Risk Score in Predicting Clinical Outcomes in Older Heart-Failure Patients in Australia.

Authors:  Yogesh Sharma; Chris Horwood; Paul Hakendorf; Rashmi Shahi; Campbell Thompson
Journal:  J Clin Med       Date:  2022-04-14       Impact factor: 4.964

2.  March 2021 at a glance: focus on epidemiology, prevention and COVID-19.

Authors:  Matteo Pagnesi; Marianna Adamo; Marco Metra
Journal:  Eur J Heart Fail       Date:  2021-03       Impact factor: 15.534

3.  A Smartphone-Based Model of Care to Support Patients With Cardiac Disease Transitioning From Hospital to the Community (TeleClinical Care): Pilot Randomized Controlled Trial.

Authors:  Praveen Indraratna; Uzzal Biswas; James McVeigh; Andrew Mamo; Joseph Magdy; Dominic Vickers; Elaine Watkins; Andreas Ziegl; Hueiming Liu; Nicholas Cholerton; Joan Li; Katie Holgate; Jennifer Fildes; Robyn Gallagher; Cate Ferry; Stephen Jan; Nancy Briggs; Guenter Schreier; Stephen J Redmond; Eugene Loh; Jennifer Yu; Nigel H Lovell; Sze-Yuan Ooi
Journal:  JMIR Mhealth Uhealth       Date:  2022-02-28       Impact factor: 4.947

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.