The predictive value of the LDH-albumin ratio on poor clinical course and mortality in COVID-19 patients: A single-center study

There are studies evaluating the association of serum lactate dehydrogenase (LDH) and albumin levels with mortality in COVID-19 patients. The aim of our study was to evaluate the predictive effect of the LDH/albumin ratio (LAR) on mortality and poor clinical course in COVID-19 patients. A total of 2093 patients for whom LDH and albumin tests were available were included in the study. Demographic data, length of hospitalization, and signs of poor clinical course were recorded and compared with the LAR value at the time of hospitalization. The study included 1010 female (48.3%) and 1083 male (51.7%) patients. Notably, 1408 (67.3%) of the patients had at least 1 comorbidity. Oxygen was required in 860 patients (41.1%) and intensive care unit was required in 215 patients (10.3%). The mortality rate was 8.1% (n: 170). The median LAR value was 8.05. A positive correlation was observed between LAR and length of hospitalization. The LAR value was significantly higher in patients who died compared with those who survived, in patients who required intensive care compared with those who did not, and in patients who required oxygen compared to those who did not. The cutoff value for LAR in predicting mortality was calculated as 10.48. The sensitivity and specificity were determined as 73.5% and 73.7%. In conclusion, serum LAR at the time of admission is predictive of poor clinical course and mortality in COVID-19 patients. Patients with LAR values higher than the cutoff value should be closely monitored for poor clinical course.

Authors

Institutions

Publication Details

Journal
Medicine
Published
2025-02-28
DOI
https://doi.org/10.1097/md.0000000000041660
Citations
1
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
1.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The predictive value of the LDH-albumin ratio on poor clinical course and mortality in COVID-19 patients: A single-center study

Hüseyin Kaya, Serap Argun Barış, Bilge Gültepe, İlknur Başyiğit et al.
1 citations
Medicine
COVID-19 Clinical Research Studies
1.40
article

The predictive value of the LDH-albumin ratio on poor clinical course and mortality in COVID-19 patients: A single-center study

Hüseyin Kaya, Serap Argun Barış, Bilge Gültepe, İlknur Başyiğit, Haşim Boyacı
article en
1 citations

Abstract

There are studies evaluating the association of serum lactate dehydrogenase (LDH) and albumin levels with mortality in COVID-19 patients. The aim of our study was to evaluate the predictive effect of the LDH/albumin ratio (LAR) on mortality and poor clinical course in COVID-19 patients. A total of 2093 patients for whom LDH and albumin tests were available were included in the study. Demographic data, length of hospitalization, and signs of poor clinical course were recorded and compared with the LAR value at the time of hospitalization. The study included 1010 female (48.3%) and 1083 male (51.7%) patients. Notably, 1408 (67.3%) of the patients had at least 1 comorbidity. Oxygen was required in 860 patients (41.1%) and intensive care unit was required in 215 patients (10.3%). The mortality rate was 8.1% (n: 170). The median LAR value was 8.05. A positive correlation was observed between LAR and length of hospitalization. The LAR value was significantly higher in patients who died compared with those who survived, in patients who required intensive care compared with those who did not, and in patients who required oxygen compared to those who did not. The cutoff value for LAR in predicting mortality was calculated as 10.48. The sensitivity and specificity were determined as 73.5% and 73.7%. In conclusion, serum LAR at the time of admission is predictive of poor clinical course and mortality in COVID-19 patients. Patients with LAR values higher than the cutoff value should be closely monitored for poor clinical course.

MedicineVol. 104(9)
Ford Otosan (Turkey) (TR), S.P.E.C.I.E.S. (US), Kocaeli Üniversitesi (TR)
Good health and well-being
Openalex Percentile: Top 24%
COVID-19 Clinical Research Studies
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.