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Ability of the LACE index to predict 30-day hospital readmissions in patients with community-acquired pneumonia

BACKGROUND AND OBJECTIVE: Hospital readmissions within 30 days are used as an indicator of quality of hospital care. We aimed to evaluate the ability of the LACE (Length of stay, Acuity of admission, Comorbidities based on Charlson comorbidity score and number of Emergency visits in the last 6 month...

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Autores principales: Dobler, Claudia C., Hakim, Maryam, Singh, Sidhartha, Jennings, Matthew, Waterer, Grant, Garden, Frances L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7369430/
https://www.ncbi.nlm.nih.gov/pubmed/32714954
http://dx.doi.org/10.1183/23120541.00301-2019
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author Dobler, Claudia C.
Hakim, Maryam
Singh, Sidhartha
Jennings, Matthew
Waterer, Grant
Garden, Frances L.
author_facet Dobler, Claudia C.
Hakim, Maryam
Singh, Sidhartha
Jennings, Matthew
Waterer, Grant
Garden, Frances L.
author_sort Dobler, Claudia C.
collection PubMed
description BACKGROUND AND OBJECTIVE: Hospital readmissions within 30 days are used as an indicator of quality of hospital care. We aimed to evaluate the ability of the LACE (Length of stay, Acuity of admission, Comorbidities based on Charlson comorbidity score and number of Emergency visits in the last 6 months) index to predict the risk of 30-day readmissions in patients hospitalised for community-acquired pneumonia (CAP). METHODS: In this retrospective cohort study a LACE index score was calculated for patients with a principal diagnosis of CAP admitted to a tertiary hospital in Sydney, Australia. The predictive ability of the LACE score for 30-day readmissions was assessed using receiver operator characteristic curves with C-statistic. RESULTS: Of 3996 patients admitted to hospital for CAP at least once, 8.0% (n=327) died in hospital and 14.6% (n=584) were readmitted within 30 days. 17.8% (113 of 636) of all 30-day readmissions were again due to CAP, followed by readmissions for chronic obstructive pulmonary disease, heart failure and chest pain. The LACE index had moderate discriminative ability to predict 30-day readmission (C-statistic=0.6395) but performed poorly for the prediction of 30-day readmissions due to CAP (C-statistic=0.5760). CONCLUSIONS: The ability of the LACE index to predict all-cause 30-day hospital readmissions is comparable to more complex pneumonia-specific indices with moderate discrimination. For the prediction of 30-day readmissions due to CAP, the performance of the LACE index and modified risk prediction models using readily available variables (sex, age, specific comorbidities, after-hours, weekend, winter or summer admission) is insufficient.
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spelling pubmed-73694302020-07-23 Ability of the LACE index to predict 30-day hospital readmissions in patients with community-acquired pneumonia Dobler, Claudia C. Hakim, Maryam Singh, Sidhartha Jennings, Matthew Waterer, Grant Garden, Frances L. ERJ Open Res Original Articles BACKGROUND AND OBJECTIVE: Hospital readmissions within 30 days are used as an indicator of quality of hospital care. We aimed to evaluate the ability of the LACE (Length of stay, Acuity of admission, Comorbidities based on Charlson comorbidity score and number of Emergency visits in the last 6 months) index to predict the risk of 30-day readmissions in patients hospitalised for community-acquired pneumonia (CAP). METHODS: In this retrospective cohort study a LACE index score was calculated for patients with a principal diagnosis of CAP admitted to a tertiary hospital in Sydney, Australia. The predictive ability of the LACE score for 30-day readmissions was assessed using receiver operator characteristic curves with C-statistic. RESULTS: Of 3996 patients admitted to hospital for CAP at least once, 8.0% (n=327) died in hospital and 14.6% (n=584) were readmitted within 30 days. 17.8% (113 of 636) of all 30-day readmissions were again due to CAP, followed by readmissions for chronic obstructive pulmonary disease, heart failure and chest pain. The LACE index had moderate discriminative ability to predict 30-day readmission (C-statistic=0.6395) but performed poorly for the prediction of 30-day readmissions due to CAP (C-statistic=0.5760). CONCLUSIONS: The ability of the LACE index to predict all-cause 30-day hospital readmissions is comparable to more complex pneumonia-specific indices with moderate discrimination. For the prediction of 30-day readmissions due to CAP, the performance of the LACE index and modified risk prediction models using readily available variables (sex, age, specific comorbidities, after-hours, weekend, winter or summer admission) is insufficient. European Respiratory Society 2020-07-20 /pmc/articles/PMC7369430/ /pubmed/32714954 http://dx.doi.org/10.1183/23120541.00301-2019 Text en Copyright ©ERS 2020 http://creativecommons.org/licenses/by-nc/4.0/This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0.
spellingShingle Original Articles
Dobler, Claudia C.
Hakim, Maryam
Singh, Sidhartha
Jennings, Matthew
Waterer, Grant
Garden, Frances L.
Ability of the LACE index to predict 30-day hospital readmissions in patients with community-acquired pneumonia
title Ability of the LACE index to predict 30-day hospital readmissions in patients with community-acquired pneumonia
title_full Ability of the LACE index to predict 30-day hospital readmissions in patients with community-acquired pneumonia
title_fullStr Ability of the LACE index to predict 30-day hospital readmissions in patients with community-acquired pneumonia
title_full_unstemmed Ability of the LACE index to predict 30-day hospital readmissions in patients with community-acquired pneumonia
title_short Ability of the LACE index to predict 30-day hospital readmissions in patients with community-acquired pneumonia
title_sort ability of the lace index to predict 30-day hospital readmissions in patients with community-acquired pneumonia
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7369430/
https://www.ncbi.nlm.nih.gov/pubmed/32714954
http://dx.doi.org/10.1183/23120541.00301-2019
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