ArticleClinical epidemiology2018
Performance of the LACE index to predict 30-day hospital readmissions in patients with chronic obstructive pulmonary disease.
Article in Clinical epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- Risk factors for all-cause hospital readmission following exacerbation of COPD: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2020Pooled it
- Application of machine learning models for predicting risk factors of acute exacerbations in chronic obstructive pulmonary disease.Frontiers in medicine · 2026Article
- Advanced machine learning models for prediction of readmission and mortality risks in patients with chronic obstructive pulmonary disease using routine clinical data.Fujita medical journal · 2025Article
- Validation of 30-Day Pediatric Hospital Readmission Risk Prediction Models.JAMA network open · 2025Article
- Exploring risk factors for all-cause hospital readmissions following chronic obstructive pulmonary disease exacerbation patients discharged on steroid tapers.Journal of thoracic disease · 2024Article
- Predicting 1 year readmission for heart failure: A comparative study of machine learning and the LACE index.ESC heart failure · 2024Article
- Development and validation of a prospective study to predict the risk of readmission within 365 days of respiratory failure: based on a random survival forest algorithm combined with COX regression modeling.BMC pulmonary medicine · 2024Article
- Heart Failure Emergency Readmission Prediction Using Stacking Machine Learning Model.Diagnostics (Basel, Switzerland) · 2023Article
- Modelling 30-day hospital readmission after discharge for COPD patients based on electronic health records.NPJ primary care respiratory medicine · 2023Article
- Risk Factors of Readmission Within 90 Days for Chronic Obstructive Pulmonary Disease Patients with Frailty and Construction of an Early Warning Model.International journal of chronic obstructive pulmonary disease · 2023Article
- Prediction of 30-Day Readmission in Hospitalized Older Adults Using Comprehensive Geriatric Assessment and LACE Index and HOSPITAL Score.International journal of environmental research and public health · 2022Article
- Secular trend and risk factors of 30-day COPD-related readmission in Beijing, China.Scientific reports · 2022Article
- Article
- Prediction of 30-day risk of acute exacerbation of readmission in elderly patients with COPD based on support vector machine model.BMC pulmonary 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
- Treatment Burden Discussion in Clinical Encounters: Priorities of COPD Patients, Carers and Physicians.International journal of chronic obstructive pulmonary disease · 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
- Prediction of Hospital Readmission from Longitudinal Mobile Data Streams.Sensors (Basel, Switzerland) · 2021Article
- Prediction of readmission in patients with acute exacerbation of chronic obstructive pulmonary disease within one year after treatment and discharge.BMC pulmonary medicine · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivePatients hospitalized for acute exacerbation of chronic obstructive pulmonary disease (COPD) have a high 30-day hospital readmission rate, which has a large impact on the health care system and patients' quality of life. The use of a prediction model to quantify a patient's risk of readmission may assist in directing interventions to patients who will benefit most. The objective of this study was to calculate the rate of 30-day readmissions and evaluate the accuracy of the LACE index (length of stay, acuity of admission, co-morbidities, and emergency department visits within the last 6 months) for 30-day readmissions in a general hospital population of COPD patients.
methodsAll patients admitted with a principal diagnosis of COPD to Liverpool Hospital, a tertiary hospital in Sydney, Australia, between 2006 and 2016 were included in the study. A LACE index score was calculated for each patient and assessed using receiver operator characteristic curves.
resultsDuring the study period, 2,662 patients had 5,979 hospitalizations for COPD. Four percent of patients died in hospital and 25% were readmitted within 30 days; 56% of all 30-day readmissions were again due to COPD. The most common reasons for readmission, following COPD, were heart failure, pneumonia, and chest pain. The LACE index had moderate discriminative ability to predict 30-day readmission (
conclusionThe 30-day hospital readmission rate was 25% following hospitalization for COPD in an Australian tertiary hospital and as such comparable to international published rates. The LACE index only had moderate discriminative ability to predict 30-day readmission in patients hospitalized for COPD.
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