ArticleScientific reports2023
Increased lactate dehydrogenase reflects the progression of COVID-19 pneumonia on chest computed tomography and predicts subsequent severe disease.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Accuracy of routine laboratory tests to predict mortality and deterioration to severe or critical COVID-19 in people with SARS-CoV-2.The Cochrane database of systematic reviews · 2024Pooled it
- Risk factors and predicting nomogram for the clinical deterioration of non-severe community-acquired pneumonia.BMC pulmonary medicine · 2024Trial
- Prognostic Value of Clinical and Laboratory Markers in Hospitalized Influenza-Positive Patients: A Retrospective Cohort Study With ROC-Based Risk Stratification.Health science reports · 2026Article
- FGL-1 plasma levels correlate with markers of inflammation and severe disease during SARS-CoV-2 infection.Communications medicine · 2026Article
- Lactate dehydrogenase-to-albumin ratio predicts 30-day and 90-day mortality in glucocorticoid-treated ICU patients with pneumonia: a secondary analysis of a multicenter cohort.Frontiers in medicine · 2026Article
- Observational
- A Series of Severe and Critical COVID-19 Cases in Hospitalized, Unvaccinated Children: Clinical Findings and Hospital Care.Epidemiologia (Basel, Switzerland) · 2025Article
- Development of a risk prediction model for secondary infection in severe/critical COVID-19 patients.BMC infectious diseases · 2025Article
- Predicting coronavirus disease 2019 severity using explainable artificial intelligence techniques.Scientific reports · 2025Article
- Serum Lactate Dehydrogenase Levels Reflect the Lung Injury Extension in COVID-19 Patients at Hospital Admission.Immunity, inflammation and disease · 2025Article
- The predictive value of the LDH-albumin ratio on poor clinical course and mortality in COVID-19 patients: A single-center study.Medicine · 2025Observational
- Identification of Early Biomarkers of Mortality in COVID-19 Hospitalized Patients: A LASSO-Based Cox and Logistic Approach.Viruses · 2025Article
- Precision disease management: prognostic biomarker for chronic lung damage in long COVID.ERJ open research · 2024Article
- Article
- The relationship between lactate dehydrogenase and Apolipoprotein A1 levels in patients with severe pneumonia.Journal of medical biochemistry · 2024Article
- Severe pediatric COVID-19: a review from the clinical and immunopathophysiological perspectives.World journal of pediatrics : WJP · 2024Review
- Elevated lactate dehydrogenase predicts pneumonia in spontaneous intracerebral hemorrhage.Heliyon · 2024Article
- New score to predict COVID-19 progression in vaccine and early treatment era: the COVID-19 Sardinian Progression Score (CSPS).European journal of medical research · 2024Article
- Predictors of developing severe COVID-19 among hospitalized patients: a retrospective study.Frontiers in medicine · 2024Article
- Comparative analysis of prognostic scoring systems in predicting severity and outcomes of Omicron variant COVID-19 pneumonia.Frontiers in medicine · 2024Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chest computed tomography (CT) is effective for assessing the severity of coronavirus disease 2019 (COVID-19). However, the clinical factors reflecting the disease progression of COVID-19 pneumonia on chest CT and predicting a subsequent exacerbation remain controversial. We conducted a retrospective cohort study of 450 COVID-19 patients. We used an automated image processing tool to quantify the COVID-19 pneumonia lesion extent on chest CT at admission. The factors associated with the lesion extent were estimated by a multiple regression analysis. After adjusting for background factors by propensity score matching, we conducted a multivariate Cox proportional hazards analysis to identify factors associated with severe disease after admission. The multiple regression analysis identified, body-mass index (BMI), lactate dehydrogenase (LDH), C-reactive protein (CRP), and albumin as continuous variables associated with the lesion extent on chest CT. The standardized partial regression coefficients for them were 1.76, 2.42, 1.54, and 0.71. The multivariate Cox proportional hazards analysis identified LDH (hazard ratio, 1.003; 95% confidence interval, 1.001-1.005) as a factor independently associated with the development of severe COVID-19 pneumonia. Increased serum LDH at admission may be useful in real-world clinical practice for the simple screening of COVID-19 patients at high risk of developing subsequent severe disease.
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