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LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis
The LACE index accounts for: Length of stay (L), Acuity of admission (A), Comorbidities (C), and recent Emergency department use (E). This study aimed to explore the LACE index to predict the high risk of 30-day readmission in patients with diverse disease conditions by an updated systematic review....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024499/ https://www.ncbi.nlm.nih.gov/pubmed/35455661 http://dx.doi.org/10.3390/jpm12040545 |
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author | Rajaguru, Vasuki Han, Whiejong Kim, Tae Hyun Shin, Jaeyong Lee, Sang Gyu |
author_facet | Rajaguru, Vasuki Han, Whiejong Kim, Tae Hyun Shin, Jaeyong Lee, Sang Gyu |
author_sort | Rajaguru, Vasuki |
collection | PubMed |
description | The LACE index accounts for: Length of stay (L), Acuity of admission (A), Comorbidities (C), and recent Emergency department use (E). This study aimed to explore the LACE index to predict the high risk of 30-day readmission in patients with diverse disease conditions by an updated systematic review. A systematic review carried out by electronic databases from 2011–2021. The studies included a LACE index score for 30-day of readmission and patients with all types of diseases and were published in the English language. The meta-analysis was performed by using a random-effects model with a 95% confidence interval. Of 3300 records, a total of 16 studies met the inclusion criteria. The country of publication was primarily the USA (n = 7) and study designs were retrospective and perspective cohorts. The average mean age was 64 years. The C-statistics was 0.55 to 0.81. The pooled random effects of relative risk readmission were overall (RR, 0.20; 95% CI, 0.12–0.34) and it was favorable. The subgroup analysis of the opted disease-based relative risk of readmissions of all causes, cardiovascular and pulmonary diseases, and neurological diseases were consistent and statistically significant at p < 0.001 level. Current evidence of this review suggested that incorporating a high-risk LACE index showed favorable to risk prediction and could be applied to predict 30-day readmission with chronic conditions. Future study would be planned to predict the high risk of 30-day readmission in acute clinical care for utility, and applicability of promising LACE index in South Korean hospitals. |
format | Online Article Text |
id | pubmed-9024499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90244992022-04-23 LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis Rajaguru, Vasuki Han, Whiejong Kim, Tae Hyun Shin, Jaeyong Lee, Sang Gyu J Pers Med Systematic Review The LACE index accounts for: Length of stay (L), Acuity of admission (A), Comorbidities (C), and recent Emergency department use (E). This study aimed to explore the LACE index to predict the high risk of 30-day readmission in patients with diverse disease conditions by an updated systematic review. A systematic review carried out by electronic databases from 2011–2021. The studies included a LACE index score for 30-day of readmission and patients with all types of diseases and were published in the English language. The meta-analysis was performed by using a random-effects model with a 95% confidence interval. Of 3300 records, a total of 16 studies met the inclusion criteria. The country of publication was primarily the USA (n = 7) and study designs were retrospective and perspective cohorts. The average mean age was 64 years. The C-statistics was 0.55 to 0.81. The pooled random effects of relative risk readmission were overall (RR, 0.20; 95% CI, 0.12–0.34) and it was favorable. The subgroup analysis of the opted disease-based relative risk of readmissions of all causes, cardiovascular and pulmonary diseases, and neurological diseases were consistent and statistically significant at p < 0.001 level. Current evidence of this review suggested that incorporating a high-risk LACE index showed favorable to risk prediction and could be applied to predict 30-day readmission with chronic conditions. Future study would be planned to predict the high risk of 30-day readmission in acute clinical care for utility, and applicability of promising LACE index in South Korean hospitals. MDPI 2022-03-30 /pmc/articles/PMC9024499/ /pubmed/35455661 http://dx.doi.org/10.3390/jpm12040545 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Rajaguru, Vasuki Han, Whiejong Kim, Tae Hyun Shin, Jaeyong Lee, Sang Gyu LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis |
title | LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis |
title_full | LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis |
title_fullStr | LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis |
title_full_unstemmed | LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis |
title_short | LACE Index to Predict the High Risk of 30-Day Readmission: A Systematic Review and Meta-Analysis |
title_sort | lace index to predict the high risk of 30-day readmission: a systematic review and meta-analysis |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024499/ https://www.ncbi.nlm.nih.gov/pubmed/35455661 http://dx.doi.org/10.3390/jpm12040545 |
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