ArticleInternational immunopharmacology2022
What is the impact and efficacy of routine immunological, biochemical and hematological biomarkers as predictors of COVID-19 mortality?
Article in International immunopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- Liver injury associated with the severity of COVID-19: A meta-analysis.Frontiers in public health · 2023Pooled it
- Haematological and Biochemical Parameters of COVID-19 Patients Hospitalised at Selected Central Hospitals in Malawi: A Retrospective Study.Health science reports · 2026Article
- Endogenous Biomarkers Analysis and False-Negative Results for SARSCov2 Using two Commercial RT-PCR Diagnostic Kits.Iranian journal of pathology · 2026Article
- Risk factors for severe COVID-19 and development of a predictive model.BMC pulmonary medicine · 2025Article
- Red Cell Distribution Width (RDW), Platelets and Platelet Index MPV/PLT Ratio as Specific Time Point Predictive Variables of Survival Outcomes in COVID-19 Hospitalized Patients.Journal of clinical medicine · 2025Article
- The mean corpuscular volume (MCV) is a hematological biomarker associated with COVID-19 mortality risk.Biomarkers in medicine · 2025Article
- Comparison of Platelet Indices, Lymphocyte, and Systemic Inflammation Indices on Days 1 and 8 in Surviving and Non-Surviving COVID-19 Patients at Hasan Sadikin General Hospital, Bandung, Indonesia.Journal of blood medicine · 2025Article
- A multicenter study on developing a prognostic model for severe fever with thrombocytopenia syndrome using machine learning.Frontiers in microbiology · 2025Article
- Identification and functional analysis of circular RNAs in intervertebral disc lesion tissues from spinal tuberculosis patients.Frontiers in physiology · 2025Article
- Article
- Machine learning approaches to predict the need for intensive care unit admission among Iranian COVID-19 patients based on ICD-10: A cross-sectional study.Health science reports · 2024Article
- Presepsin as a prognostic biomarker in COVID-19 patients: combining clinical scoring systems and laboratory inflammatory markers for outcome prediction.Virology journal · 2024Article
- Association of Coagulopathy and Inflammatory Biomarkers with Severity in SARS-CoV-2-Infected Individuals of the Al-Qunfudhah Region of Saudi Arabia.Healthcare (Basel, Switzerland) · 2024Article
- Development of Biomarkers and Prognosis Model of Mortality Risk in Patients with COVID-19.Journal of inflammation research · 2024Article
- Association Between Hemoglobin-Albumin-Lymphocyte-Platelet Index and Mortality in Hospitalized COVID-19 Omicron BA.2 Infected Patients.Infection and drug resistance · 2024Article
- [Early prediction of severe COVID-19 in patients with Sjögren's syndrome].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2023Article
- Long non-coding RNAs ANRIL, THRIL, and NEAT1 as potential circulating biomarkers of SARS-CoV-2 infection and disease severity.Virus research · 2023Article
- Hemoglobin and Its Z Score Reference Intervals in Febrile Children: A Cohort Study of 98,572 Febrile Children.Children (Basel, Switzerland) · 2023Article
- The potential of high-order features of routine blood test in predicting the prognosis of non-small cell lung cancer.BMC cancer · 2023Review
- CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients.Computer methods and programs in biomedicine · 2023Article
Corrections and comments
- Erratum issued
- Erratum issued
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It remains important to investigate the changing and impact of routine blood values (RBVs) in order to predict mortality and follow an appropriate treatment in COVID-19 patients. In the study, the importance of RBVs in the mortality of patients with COVID-19 was investigated. The changes in the biochemical, hematological, and immunological parameters of patients who recovered (n = 4364) and died (n = 233) from COVID-19 over time and their relationship with the mortality of the disease were evaluated retrospectively. Odds ratios of the parameters affecting one-month mortality were calculated by running multiple-logistic-regression analysis. The cut off values and diagnostic efficiencies of the parameters that posed a risk for mortality were obtained via receiver operating curve analysis. It was determined that the C-reactive protein (CRP), D-dimer, procalcitonin, erythrocyte-sedimentation-rate (ESR), troponin values were at abnormal levels until death occurred in the patients who died. In addition, the procalcitonin levels were consistently high in patients who died. The patients who died generally had a sustained increase in their leukocyte and neutrophil levels and biochemical variables, and an ongoing decrease in lymphopenia and eosinopenia levels. Although significant changes were observed in liver function tests, cardiac troponin, hemogram values, kidney function tests and parameters related to inflammation in deceased patients, high ESR, international-normalized-ratio (INR), prothrombin-time (PT), CRP, D-dimer, ferritin and red-cell-distribution width (RDW) values, respectively, were the most effective predictive mortality risk biomarkers of COVID-19. In addition, neutrophilia, leukocytosis, thrombocytopenia, erythrocytopenia were other risk predictors of mortality. Indicators was found in this study can be successfully used to predict mortality from COVID-19.
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