Objectives: To describe inpatient and outpatient cardiac rehabilitation (CR) utilization patterns over time and by subgroups among patients admitted for acute heart failure (AHF) in Japan.
Background: Cardiac rehabilitation (CR) is a crucial secondary prevention strategy for patients with heart failure. While the number of older patients with AHF continues to rise, trends in inpatient and outpatient CR participation following AHF in Japan have not been described to date.
Methods: We conducted a retrospective cohort study of adult patients hospitalized for AHF in Japan between April 2008 and December 2020. Using data from the Medical Data Vision database, we measured trends in inpatient and outpatient CR participation following AHF. Descriptive analyses and summary statistics for AHF patients by CR participation status were reported.
Results: The analytic cohort included 88,052 patients. Among these patients, 37,810 (42.9%) participated in inpatient and/or outpatient CR. Of those, 36,431 (96.4%) participated in inpatient CR only and 1,277 (3.4%) participated in both inpatient and outpatient CR. Rates of inpatient CR rose more than 6-fold over the study period, from 9% in 2009 to 55% in 2020, whereas rates of outpatient CR were consistently low.
Conclusions: The rate of inpatient CR participation among AHF patients in Japan rose dramatically over a 12-year period, whereas outpatient CR following AHF was vastly underutilized. Further study is needed to assess the clinical effectiveness of inpatient CR and to create infrastructure and incentives to support and encourage outpatient CR.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684100 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0294844 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
Artificial intelligence for hemodynamic monitoring with a wearable electrocardiogram monitor.
Commun Med (Lond)
January 2025
Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
Background: The ability to non-invasively measure left atrial pressure would facilitate the identification of patients at risk of pulmonary congestion and guide proactive heart failure care. Wearable cardiac monitors, which record single-lead electrocardiogram data, provide information that can be leveraged to infer left atrial pressures.
Methods: We developed a deep neural network using single-lead electrocardiogram data to determine when the left atrial pressure is elevated.
Current Use And Evaluation Of Artificial Intelligence And Predictive Models In US Hospitals.
Health Aff (Millwood)
January 2025
Jordan Everson, Office of the Assistant Secretary for Technology Policy, Washington, D.C.
Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, appropriate, valid, effective, and safe, or FAVES. We analyzed data from the 2023 American Hospital Association Annual Survey Information Technology Supplement to identify how AI and predictive models are used and evaluated for accuracy and bias in hospitals. Hospitals use AI and predictive models to predict health trajectories or risks for inpatients, identify high-risk outpatients to inform follow-up care, monitor health, recommend treatments, simplify or automate billing procedures, and facilitate scheduling.
View Article and Find Full Text PDFHealthcare resource utilization and costs after initiating direct-acting oral anticoagulants or low molecular weight heparins in patients with venous thromboembolism.
Vasc Med
January 2025
Department of Practice, Sciences, and Health Outcomes Research, School of Pharmacy, University of Maryland, Baltimore, MD, USA.
Background: Venous thromboembolism (VTE) can lead to significant healthcare resource utilization (HcRU) and costs. First-line treatments such as direct-acting oral anticoagulants (DOAC) and low molecular weight heparin (LMWH) are utilized for VTE management. There are limited observational studies to determine which first-line drug for VTE is associated with lower HcRU and cost.
View Article and Find Full Text PDFPatterns of Opioid and NSAID Use in Saudi Arabia from 2010 to 2020.
J Psychoactive Drugs
January 2025
Department of Pharmaceutical Care, King Fahad Medical City, Riyadh, Saudi Arabia.
The use of analgesics has increased globally over the last three decades. Prescription drug abuse has increased significantly, and opioids have been identified as causing further harm to the world. This study explored the utilization and expenditure associated with opioids and non-steroidal anti-inflammatory drugs (NSAIDs) from 2010 to 2020 in Saudi Arabia.
View Article and Find Full Text PDFIdentification and Validation of Epithelial Cell Centre Regulatory Transcription Factors in the Gastric Cancer Microenvironment.
Int J Gen Med
December 2024
Department of Pathology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yun Nan, People's Republic of China.
Purpose: To identify the epithelial cell centre regulatory transcription factors in the gastric cancer (GC) microenvironment and provide a new strategy for the diagnosis and treatment of GC.
Methods: The GC single-cell dataset was downloaded from the Gene Expression Omnibus (GEO) database. The regulatory mechanisms of transcription factors in both pan-cancer and GC microenvironments were analysed using the Cancer Genome Atlas (TGCA) database.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!