Predictive accuracy of lactate albumin ratio for mortality in intensive care units: a nationwide cohort study

Background The lactate albumin ratio (LAR), a simple prognostic marker used in intensive care units (ICUs), combines lactate and serum albumin levels to predict patient outcomes. Despite its potential, the predictive accuracy of the LAR remains insufficiently explored. This study aimed to assess the...

Full description

Saved in:
Bibliographic Details
Main Authors: Yohei Okada, Yoshitaka Aoki, Mikio Nakajima, Yasuhito Suzuki, Mikihiro Shimizu, Ryo Imai, Soichiro Mimuro, Yoshiki Nakajima
Format: Article
Language:English
Published: BMJ Publishing Group 2024-12-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/14/12/e088926.full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841537086015930368
author Yohei Okada
Yoshitaka Aoki
Mikio Nakajima
Yasuhito Suzuki
Mikihiro Shimizu
Ryo Imai
Soichiro Mimuro
Yoshiki Nakajima
author_facet Yohei Okada
Yoshitaka Aoki
Mikio Nakajima
Yasuhito Suzuki
Mikihiro Shimizu
Ryo Imai
Soichiro Mimuro
Yoshiki Nakajima
author_sort Yohei Okada
collection DOAJ
description Background The lactate albumin ratio (LAR), a simple prognostic marker used in intensive care units (ICUs), combines lactate and serum albumin levels to predict patient outcomes. Despite its potential, the predictive accuracy of the LAR remains insufficiently explored. This study aimed to assess the usefulness of the LAR in predicting mortality among patients in the ICU.Methods This retrospective study conducted a secondary analysis of prospectively obtained clinical data from the Japanese Intensive Care Patient Database. We included all patients admitted to ICUs between 2015 and 2021, excluding those under the age of 16 years. The main outcome was in-hospital mortality. The LAR predictive value for this outcome was assessed by examining the area under the receiver operating characteristic curve and comparing it against prognostic indicators such as age, lactate, albumin and Sequential Organ Failure Assessment score. LAR shape was assessed using unrestricted spline curves, and the optimal cut-off value was identified from sensitivity and negative likelihood ratio. Subgroup analysis was used to evaluate the predictive accuracy of the LAR across different patient attributes and clinical scenarios.Results Of 2 34 774 cases analysed, in-hospital mortality was 8.8% (20 723 deaths). The LAR had an area under the curve of 0.761 (95%CI 0.757 to 0.765), indicating a fair predictive performance for in-hospital mortality. Unrestricted spline curves demonstrated that LAR can predict mortality through a monotonic positive dose–response relationship with 0.4 as the optimal cut-off value. In subgroup analysis, areas under the curve were significantly higher in subgroups defined by younger age, female sex, unplanned ICU admission, non-surgical patients, non-infectious patients, non-heart failure patients and lack of end-stage renal disease.Conclusions The LAR might be a useful predictor for screening mortality in ICU patients. However, further research to establish appropriate cut-off values for the LAR and identify the optimal target population is warranted.
format Article
id doaj-art-9c13adc116c54883a86a909be07adb3c
institution Kabale University
issn 2044-6055
language English
publishDate 2024-12-01
publisher BMJ Publishing Group
record_format Article
series BMJ Open
spelling doaj-art-9c13adc116c54883a86a909be07adb3c2025-01-14T09:20:09ZengBMJ Publishing GroupBMJ Open2044-60552024-12-01141210.1136/bmjopen-2024-088926Predictive accuracy of lactate albumin ratio for mortality in intensive care units: a nationwide cohort studyYohei Okada0Yoshitaka Aoki1Mikio Nakajima2Yasuhito Suzuki3Mikihiro Shimizu4Ryo Imai5Soichiro Mimuro6Yoshiki Nakajima74 Health Services and Systems Research, Singapore1 Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan3 Emergency and Critical Care Center, Tokyo Metropolitan Hiroo Gen Hosp, Tokyo, Japan1 Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan2 Center for Clinical Research, Hamamatsu University School of Medicine, Hamamatsu, Japan1 Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan1 Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan1 Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, JapanBackground The lactate albumin ratio (LAR), a simple prognostic marker used in intensive care units (ICUs), combines lactate and serum albumin levels to predict patient outcomes. Despite its potential, the predictive accuracy of the LAR remains insufficiently explored. This study aimed to assess the usefulness of the LAR in predicting mortality among patients in the ICU.Methods This retrospective study conducted a secondary analysis of prospectively obtained clinical data from the Japanese Intensive Care Patient Database. We included all patients admitted to ICUs between 2015 and 2021, excluding those under the age of 16 years. The main outcome was in-hospital mortality. The LAR predictive value for this outcome was assessed by examining the area under the receiver operating characteristic curve and comparing it against prognostic indicators such as age, lactate, albumin and Sequential Organ Failure Assessment score. LAR shape was assessed using unrestricted spline curves, and the optimal cut-off value was identified from sensitivity and negative likelihood ratio. Subgroup analysis was used to evaluate the predictive accuracy of the LAR across different patient attributes and clinical scenarios.Results Of 2 34 774 cases analysed, in-hospital mortality was 8.8% (20 723 deaths). The LAR had an area under the curve of 0.761 (95%CI 0.757 to 0.765), indicating a fair predictive performance for in-hospital mortality. Unrestricted spline curves demonstrated that LAR can predict mortality through a monotonic positive dose–response relationship with 0.4 as the optimal cut-off value. In subgroup analysis, areas under the curve were significantly higher in subgroups defined by younger age, female sex, unplanned ICU admission, non-surgical patients, non-infectious patients, non-heart failure patients and lack of end-stage renal disease.Conclusions The LAR might be a useful predictor for screening mortality in ICU patients. However, further research to establish appropriate cut-off values for the LAR and identify the optimal target population is warranted.https://bmjopen.bmj.com/content/14/12/e088926.full
spellingShingle Yohei Okada
Yoshitaka Aoki
Mikio Nakajima
Yasuhito Suzuki
Mikihiro Shimizu
Ryo Imai
Soichiro Mimuro
Yoshiki Nakajima
Predictive accuracy of lactate albumin ratio for mortality in intensive care units: a nationwide cohort study
BMJ Open
title Predictive accuracy of lactate albumin ratio for mortality in intensive care units: a nationwide cohort study
title_full Predictive accuracy of lactate albumin ratio for mortality in intensive care units: a nationwide cohort study
title_fullStr Predictive accuracy of lactate albumin ratio for mortality in intensive care units: a nationwide cohort study
title_full_unstemmed Predictive accuracy of lactate albumin ratio for mortality in intensive care units: a nationwide cohort study
title_short Predictive accuracy of lactate albumin ratio for mortality in intensive care units: a nationwide cohort study
title_sort predictive accuracy of lactate albumin ratio for mortality in intensive care units a nationwide cohort study
url https://bmjopen.bmj.com/content/14/12/e088926.full
work_keys_str_mv AT yoheiokada predictiveaccuracyoflactatealbuminratioformortalityinintensivecareunitsanationwidecohortstudy
AT yoshitakaaoki predictiveaccuracyoflactatealbuminratioformortalityinintensivecareunitsanationwidecohortstudy
AT mikionakajima predictiveaccuracyoflactatealbuminratioformortalityinintensivecareunitsanationwidecohortstudy
AT yasuhitosuzuki predictiveaccuracyoflactatealbuminratioformortalityinintensivecareunitsanationwidecohortstudy
AT mikihiroshimizu predictiveaccuracyoflactatealbuminratioformortalityinintensivecareunitsanationwidecohortstudy
AT ryoimai predictiveaccuracyoflactatealbuminratioformortalityinintensivecareunitsanationwidecohortstudy
AT soichiromimuro predictiveaccuracyoflactatealbuminratioformortalityinintensivecareunitsanationwidecohortstudy
AT yoshikinakajima predictiveaccuracyoflactatealbuminratioformortalityinintensivecareunitsanationwidecohortstudy