Observational studyFrontiers in public health2024
Lactate dehydrogenase to albumin ratio (LAR) is a novel predictor of fatal outcome in patients with SFTS: an observational study.
Observational study in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The trial behind it
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Who cites it
13 citing papers in PubMed.
- Predictive Value of Admission Renal Injury-Related Indicators for Fatal Outcomes in Patients with Severe Fever with Thrombocytopenia Syndrome.Current medical science · 2026Article
- Hyper-activated low-density neutrophil-derived NGAL predicts fatal SFTS: a multi-cohort and single-cell study.Infection · 2026Article
- Lactate dehydrogenase-to-Albumin Ratio (LAR) predicts mortality in critically ill patients with hypertensive heart failure: A MIMIC-IV database analysis.Clinics (Sao Paulo, Brazil) · 2026Article
- Procalcitonin/albumin to urea nitrogen ratio: a novel prognostic indicator for severe fever with thrombocytopenia syndrome.BMC infectious diseases · 2026Observational
- NLPR as a predictor of poor prognosis in patients with severe fever with thrombocytopenia syndrome: a prospective longitudinal study.Frontiers in cellular and infection microbiology · 2026Article
- Lactate Dehydrogenase to Albumin Ratio as a Predictor of Severe Community-Acquired Pneumonia in Patients Aged 60 years and Above: A Retrospective Cohort Study.Infection and drug resistance · 2026Article
- Admission D-Dimer-to-Albumin Ratio as a Predictor of Poor Prognosis in Patients with Severe Fever with Thrombocytopenia Syndrome: A Retrospective Cohort Study.Infection and drug resistance · 2026Article
- LDAR outperforms other albumin-derived indices in predicting 28-day ICU mortality in critically ill myocardial infarction patients: a two-cohort study.Frontiers in medicine · 2026Article
- Observational
- Unveiling fatal risk factors: Predicting hemophagocytic lymphohistiocytosis in SFTS patients.PLoS neglected tropical diseases · 2025Article
- Risk Factors for 30-Day Prognosis of Hemorrhagic Fever with Renal Syndrome in the Dali Region, China.Infection and drug resistance · 2025Article
- Association Between Lactate Dehydrogenase/Albumin Ratio and in-Hospital Mortality in Patients with Acute Aortic Dissection.Journal of inflammation research · 2025Article
- Disease-specific divergence of inflammatory and metabolic biomarkers in neurocritical neuromuscular disorders.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Severe fever with thrombocytopenia syndrome (SFTS) is a serious infectious disease. This study explored the prognostic value of lactate dehydrogenase (LDH) to albumin (ALB) ratio (LAR) levels in fatal outcomes of the disease. Methods: Two-hundred and nine patients with SFTS were enrolled in this study. Based on the prognosis, patients were divided into survival and deceased groups. Laboratory metrics were compared by univariate Cox regression and multivariate Cox regression analyses. The prognostic risk factors for SFTS disease were discussed, and the receiver operator characteristic (ROC) curve and the Kaplan-Meier survival curve were plotted to analyze the predictive value of independent risk factors on disease prognosis. Results: A total of 209 patients with SFTS, including 152 in the survival group and 57 in the death group, were enrolled. The median age of 209 SFTS patients was 64 years. Three indicators, age, aspartate aminotransferase (AST), and LAR, were identified as predictors of mortality in patients with SFTS. The area under the ROC curve of LAR was the highest (0.835), followed by that of AST (0.794), and age (0.720). The Kaplan-Meier survival curve showed an increased case fatality rate, of >1.4691, in patients with LAR. Conclusion: Elevated LAR level on admission is an independent risk factor for fatal outcomes in patients with SFTS; this can help healthcare professionals identify patients with SFTS having a high risk of fatal outcomes.
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