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Ability of the LACE Index to Predict 30-Day Readmissions in Patients with Acute Myocardial Infarction

Authors
 Vasuki Rajaguru  ;  Tae Hyun Kim  ;  Jaeyong Shin  ;  Sang Gyu Lee  ;  Whiejong Han 
Citation
 JOURNAL OF PERSONALIZED MEDICINE, Vol.12(7) : 1085, 2022-06 
Journal Title
JOURNAL OF PERSONALIZED MEDICINE
Issue Date
2022-06
Keywords
acute myocardial infarction ; prediction ; readmission ; risk assessment
Abstract
Aims: This study aimed to utilize the existing LACE index (length of stay, acuity of admission, comorbidity index and emergency room visit in the past six months) to predict the risk of 30-day readmission and to find the associated factors in patients with AMI.

Methods: This was a retrospective study and LACE index scores were calculated for patients admitted with AMI between 2015 and 2019. Data were utilized from the hospital's electronic medical record. Multivariate logistic regression was performed to find the association between covariates and 30-day readmission. The risk prediction ability of the LACE index for 30-day readmission was analyzed by receiver operating characteristic curves with the C statistic.

Results: A total of 205 (5.7%) patients were readmitted within 30 days. The odds ratio of older age group (OR = 1.78, 95% CI: 1.54-2.05), admission via emergency ward (OR = 1.45; 95% CI: 1.42-1.54) and LACE score ≥10 (OR = 2.71; 95% CI: 1.03-4.37) were highly associated with 30-day readmissions and statistically significant. The receiver operating characteristic curve C statistic of the LACE index for AMI patients was 0.78 (95% CI: 0.75-0.80) and showed favorable discrimination in the prediction of 30-day readmission.

Conclusion: The LACE index showed a good discrimination to predict the risk of 30-day readmission for hospitalized patients with AMI. Further study would be recommended to focus on additional factors that can be used to predict the risk of 30-day readmission; this should be considered to improve the model performance of the LACE index for other acute conditions by using the national-based administrative data.
Files in This Item:
T202202465.pdf Download
DOI
10.3390/jpm12071085
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실) > 1. Journal Papers
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers
Yonsei Authors
Kim, Tae Hyun(김태현) ORCID logo https://orcid.org/0000-0003-1053-8958
Rajaguru, Vasuki(바수키) ORCID logo https://orcid.org/0000-0003-2519-2814
Shin, Jae Yong(신재용) ORCID logo https://orcid.org/0000-0002-2955-6382
Lee, Sang Gyu(이상규) ORCID logo https://orcid.org/0000-0003-4847-2421
Han, Whiejong(한휘종)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/189424
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