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Using the lactate-to-albumin ratio to predict mortality in patients with sepsis or septic shock: a systematic review and meta-analysis

Authors
 S H Yoon  ;  B Choi  ;  S Eun  ;  G E Bae  ;  C M Koo  ;  M K Kim 
Citation
 EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES, Vol.26(5) : 1743-1752, 2022-03 
Journal Title
EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES
ISSN
 1128-3602 
Issue Date
2022-03
MeSH
Albumins ; Humans ; Lactic Acid ; ROC Curve ; Sepsis* / diagnosis ; Shock, Septic* / diagnosis
Abstract
Objective: This study aimed to investigate whether the lactate-to-albumin ratio (LAR) can predict mortality in patients with sepsis or septic shock.

Patients and methods: A systematic search of the PubMed, EMBASE, Web of Science, and Google Scholar databases was conducted on December 16, 2021, for relevant articles that provided the predictive performance of LAR for mortality in patients with sepsis or septic shock.

Results: Eight studies encompassing a total of 4,723 patients were included in this paper. The pooled sensitivity, specificity, and diagnostic odds ratio of the LAR for predicting mortality were 0.71 (95% confidence interval [CI]: 0.54-0.84), 0.68 (95% CI: 0.58-0.76) and 5.23 (95% CI: 2.62-10.45), respectively. The area under the summary receiver operating characteristic curve was 0.74 (95% CI: 0.70-0.78).

Conclusions: The current evidence suggests that LAR is moderately predictive of mortality among patients with sepsis or septic shock and may be beneficial to identify high-risk patients.
Files in This Item:
T202201467.pdf Download
DOI
10.26355/eurrev_202203_28244
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Emergency Medicine (응급의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers
Yonsei Authors
Koo, Chung Mo(구청모)
Kim, Moon Kyu(김문규) ORCID logo https://orcid.org/0000-0001-6186-3991
Bae, Go Eun(배고은)
Yoon, Seo Hee(윤서희) ORCID logo https://orcid.org/0000-0002-8361-9815
Eun, So Hyun(은소현)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/188545
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