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Prediction value of the LACE index to identify older adults at high risk for all-cause mortality in South Korea: a nationwide population-based study
BACKGROUND: As a tool to predict early hospital readmission, little is known about the association between LACE index and all-cause mortality in older adults. We aimed to validate the LACE index to predict all-cause mortality in older adults and also analyzed the LACE index outcome of all-cause mort...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876396/ https://www.ncbi.nlm.nih.gov/pubmed/35209849 http://dx.doi.org/10.1186/s12877-022-02848-4 |
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author | Cho, Eunbyul Lee, Sumi Bae, Woo Kyung Lee, Jae-ryun Lee, Hyejin |
author_facet | Cho, Eunbyul Lee, Sumi Bae, Woo Kyung Lee, Jae-ryun Lee, Hyejin |
author_sort | Cho, Eunbyul |
collection | PubMed |
description | BACKGROUND: As a tool to predict early hospital readmission, little is known about the association between LACE index and all-cause mortality in older adults. We aimed to validate the LACE index to predict all-cause mortality in older adults and also analyzed the LACE index outcome of all-cause mortality depending on the disease and age of the participants. METHODS: We used the National Health Insurance Service (NHIS) cohort, a nationwide claims database of Koreans. We enrolled 7491 patients who were hospitalized at least once between 2003 and 2004, aged ≥65 years as of the year of discharge, and subsequently followed-up until 2015. We estimated the LACE index using the NHI database. The Cox proportional hazards model was used to estimate the hazard ratio (HR) for all-cause mortality. Furthermore, we investigated all-cause mortality according to age and underlying disease when the LACE index was ≥10 and < 10, respectively. RESULTS: In populations over 65 years of age, patients with LACE index ≥10 had significantly higher risks of all-cause mortality than in those with LACE index < 10. (HR, 1.44; 95% confidence interval, 1.35–1.54). For those patients aged 65–74 years, the HR of all-cause mortality was found to be higher in patients with LACE index≥10 than in those with LACE index < 10 in almost all the diseases except CRF and mental illnesses. And those patients aged ≥75 years, the HR of all- cause mortality was found to be higher in patients with LACE index ≥10 than in those with LACE index < 10 in the diseases of pneumonia and MACE. CONCLUSION: This is the first study to validate the predictive power of the LACE index to identify older adults at high risk for all-cause mortality using nationwide cohort data. Our findings have policy implications for selecting or managing patients who need post-discharge management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-02848-4. |
format | Online Article Text |
id | pubmed-8876396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88763962022-02-28 Prediction value of the LACE index to identify older adults at high risk for all-cause mortality in South Korea: a nationwide population-based study Cho, Eunbyul Lee, Sumi Bae, Woo Kyung Lee, Jae-ryun Lee, Hyejin BMC Geriatr Research BACKGROUND: As a tool to predict early hospital readmission, little is known about the association between LACE index and all-cause mortality in older adults. We aimed to validate the LACE index to predict all-cause mortality in older adults and also analyzed the LACE index outcome of all-cause mortality depending on the disease and age of the participants. METHODS: We used the National Health Insurance Service (NHIS) cohort, a nationwide claims database of Koreans. We enrolled 7491 patients who were hospitalized at least once between 2003 and 2004, aged ≥65 years as of the year of discharge, and subsequently followed-up until 2015. We estimated the LACE index using the NHI database. The Cox proportional hazards model was used to estimate the hazard ratio (HR) for all-cause mortality. Furthermore, we investigated all-cause mortality according to age and underlying disease when the LACE index was ≥10 and < 10, respectively. RESULTS: In populations over 65 years of age, patients with LACE index ≥10 had significantly higher risks of all-cause mortality than in those with LACE index < 10. (HR, 1.44; 95% confidence interval, 1.35–1.54). For those patients aged 65–74 years, the HR of all-cause mortality was found to be higher in patients with LACE index≥10 than in those with LACE index < 10 in almost all the diseases except CRF and mental illnesses. And those patients aged ≥75 years, the HR of all- cause mortality was found to be higher in patients with LACE index ≥10 than in those with LACE index < 10 in the diseases of pneumonia and MACE. CONCLUSION: This is the first study to validate the predictive power of the LACE index to identify older adults at high risk for all-cause mortality using nationwide cohort data. Our findings have policy implications for selecting or managing patients who need post-discharge management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-02848-4. BioMed Central 2022-02-24 /pmc/articles/PMC8876396/ /pubmed/35209849 http://dx.doi.org/10.1186/s12877-022-02848-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Cho, Eunbyul Lee, Sumi Bae, Woo Kyung Lee, Jae-ryun Lee, Hyejin Prediction value of the LACE index to identify older adults at high risk for all-cause mortality in South Korea: a nationwide population-based study |
title | Prediction value of the LACE index to identify older adults at high risk for all-cause mortality in South Korea: a nationwide population-based study |
title_full | Prediction value of the LACE index to identify older adults at high risk for all-cause mortality in South Korea: a nationwide population-based study |
title_fullStr | Prediction value of the LACE index to identify older adults at high risk for all-cause mortality in South Korea: a nationwide population-based study |
title_full_unstemmed | Prediction value of the LACE index to identify older adults at high risk for all-cause mortality in South Korea: a nationwide population-based study |
title_short | Prediction value of the LACE index to identify older adults at high risk for all-cause mortality in South Korea: a nationwide population-based study |
title_sort | prediction value of the lace index to identify older adults at high risk for all-cause mortality in south korea: a nationwide population-based study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876396/ https://www.ncbi.nlm.nih.gov/pubmed/35209849 http://dx.doi.org/10.1186/s12877-022-02848-4 |
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