ArticleBMC cardiovascular disorders2014
Using the LACE index to predict hospital readmissions in congestive heart failure patients.
Article in BMC cardiovascular disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 42 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Reducing 30-day Readmissions in Patients With Heart Failure Through Pharmacist Discharge Medication Services
Readmission Risk Score (RecuR Score) Pilot at The University of Maryland Charles Regional Medical Center (UM CRMC)
Who cites it
42 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prediction models for hospital readmissions in patients with heart disease: a systematic review and meta-analysis.BMJ open · 2021Pooled it
- Utility of models to predict 28-day or 30-day unplanned hospital readmissions: an updated systematic review.BMJ open · 2016Pooled it
- Clinical and Sociobehavioral Prediction Model of 30-Day Hospital Readmissions Among People With HIV and Substance Use Disorder: Beyond Electronic Health Record Data.Journal of acquired immune deficiency syndromes (1999) · 2019Trial
- Predicting unplanned 30-day hospital readmissions in patients with urogenital system disorders: a retrospective EMR-based ensemble learning study in Taiwan.BMC health services research · 2026Observational
- Article
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- Research progress on discharge readiness service practices for patients undergoing endometrial cancer surgery.Frontiers in oncology · 2025Review
- Predicting 1 year readmission for heart failure: A comparative study of machine learning and the LACE index.ESC heart failure · 2024Article
- Predictive Value of LACE Scores for Pediatric Readmissions.The Permanente journal · 2024Article
- Article
- Article
- The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study.Journal of medical Internet research · 2023Article
- Enabling Health Data Sharing with Fine-Grained Privacy.Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management · 2023Article
- Machine learning and LACE index for predicting 30-day readmissions after heart failure hospitalization in elderly patients.Internal and emergency medicine · 2022Article
- Ability of the LACE Index to Predict 30-Day Readmissions in Patients with Acute Myocardial Infarction.Journal of personalized medicine · 2022Article
- LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis.Journal of personalized medicine · 2022Review
- Development and validation of an interpretable machine learning scoring tool for estimating time to emergency readmissions.EClinicalMedicine · 2022Article
- LACE Index to Predict the High Risk of 30-Day Readmission in Patients With Acute Myocardial Infarction at a University Affiliated Hospital.Frontiers in cardiovascular medicine · 2022Article
- Specialty-Specific Readmission Risk Models Outperform General Models in Estimating Hepatopancreatobiliary Surgery Readmission Risk.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2021Article
- Heart Failure with Preserved Ejection Fraction and 30-Day Readmission.Clinical medicine & research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe LACE index has been used to predict the risk of unplanned readmission within 30 days after hospital discharge in both medical and surgical patients. The aim of this study is to validate the accuracy of using the LACE index in CHF patients.
methodsThis was a retrospective study. The LACE index score was calculated on each patient who was admitted to hospital due to an acute CHF exacerbation. Operational and clinical variables were collected from patients including basic clinical characteristics, length of hospitalization, comorbidities, number of previous ED visits in the past 6 months before the index admission, and the number of post discharge ED revisits at 30, 60, and 90 days. All variables were analyzed by multivariate logistic regression to determine the association between clinical variables and the hospital unplanned readmissions. C-statistic was used to discriminate those patients with high risk of readmissions.
resultsOf the 253 patients included in the study, 24.50% (62/253) experienced unplanned readmission to hospital within 30 days after discharge. The LACE index was slightly higher in patients readmitted versus patients not readmitted (12.17 ± 2.22 versus 11.80 ± 1.92, p = 0.199). Adjusted odds ratios based on logistic regression of all clinical variables showed only the number of previous ED visits (OR 1.79, 95% CI 1.30-2.47, p < 0.001), history of myocardial infarction (OR 2.51, 95% CI 1.02-6.21, p = 0.045), and history of peripheral vascular disease (OR 10.75, 95% CI 1.52-75.73, p = 0.017) increased the risk of unplanned readmission within 30 days of hospital discharge. However, patients with high LACE scores (≥10) had a significantly higher rate of ED revisits (15.04% vs 0%) within 30 days from the index discharge than those with low LACE scores (p = 0.030).
conclusionThe LACE index may not accurately predict unplanned readmissions within 30 days from hospital discharge in CHF patients. The LACE high risk index may have utility as a screening tool to predict high risk ED revisits after hospital discharge.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.