Observational studyVirology journal2021
Scores based on neutrophil percentage and lactate dehydrogenase with or without oxygen saturation predict hospital mortality risk in severe COVID-19 patients.
Observational study in Virology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic models in COVID-19 infection that predict severity: a systematic review.European journal of epidemiology · 2023Pooled it
- U-shaped association of serum lactate dehydrogenase with all-cause mortality in cancer patients: a retrospective cohort study.BMC cancer · 2025Article
- Observational
- Evaluation of Oxidative Stress and Endothelial Dysfunction in COVID-19 Patients.Medicina (Kaunas, Lithuania) · 2024Article
- An Interplay between Oxidative Stress (Lactate Dehydrogenase) and Inflammation (Anisocytosis) Mediates COVID-19 Severity Defined by Routine Clinical Markers.Antioxidants (Basel, Switzerland) · 2023Article
- Procalcitonin Levels in COVID-19 Patients Are Strongly Associated with Mortality and ICU Acceptance in an Underserved, Inner City Population.Medicina (Kaunas, Lithuania) · 2021Observational
- Innate and Adaptive Immune Assessment at Admission to Predict Clinical Outcome in COVID-19 Patients.Biomedicines · 2021Article
- Interpretable machine learning for early prediction of acute kidney injury in critically ill patients with acute pancreatitis.Digital healthArticle
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRisk scores are needed to predict the risk of death in severe coronavirus disease 2019 (COVID-19) patients in the context of rapid disease progression.
methodsUsing data from China (training dataset, n = 96), prediction models were developed by logistic regression and then risk scores were established. Leave-one-out cross validation was used for internal validation and data from Iran (test dataset, n = 43) was used for external validation.
resultsA NSL model (area under the curve (AUC) 0.932) and a NL model (AUC 0.903) were developed based on neutrophil percentage and lactate dehydrogenase with and without oxygen saturation (SaO
conclusionsThese scores may be used to predict the risk of death in severe COVID-19 patients and the NL score could be used in regions where patients' SaO
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