Hematological Markers as Predictors of COVID-19 Severity: A Prospective Study from South India

Introduction: Coronavirus disease 2019 (COVID-19) demonstrates wide clinical heterogeneity, ranging from mild illness to severe pneumonia, acute respiratory distress syndrome, and multiorgan failure. Early identification of patients at risk of severe disease is essential, particularly in resource-limited settings. Simple hematological and inflammatory markers may aid in early prediction of disease severity. Methods: A prospective observational study was conducted on 100 RT-PCRconfirmed COVID-19 patients admitted between December 2020 and October 2022 at Prathima Institute of Medical Sciences, South India. Patients were categorized as critical or non-critical according to World Health Organization (WHO) severity criteria. Hematological indices and inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), lymphocyte percentage, D-dimer, and interleukin-6 (IL-6), were analyzed and compared between the two groups. Results: The median NLR was significantly higher in critical patients compared to non-critical patients (6.35 vs 4.00; p Conclusion: Elevated NLR, lymphopenia, and increased IL-6 and D-dimer levels are reliable predictors of COVID-19 severity and may assist in early risk stratification and clinical decision-making.

Authors

Publication Details

Journal
PERSPECTIVES IN MEDICAL RESEARCH
Published
2026-05-01
DOI
https://doi.org/10.47799/pimr.1401.25.69
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hematological Markers as Predictors of COVID-19 Severity: A Prospective Study from South India

Asma Anjum, BVN Padmaja, Audi Thanmayi Naidu, Shaik Riyaz Parveen et al.
PERSPECTIVES IN MEDICAL RESEARCH
COVID-19 Clinical Research Studies
article

Hematological Markers as Predictors of COVID-19 Severity: A Prospective Study from South India

Asma Anjum, BVN Padmaja, Audi Thanmayi Naidu, Shaik Riyaz Parveen, Kanakam Varun
article en

Abstract

Introduction: Coronavirus disease 2019 (COVID-19) demonstrates wide clinical heterogeneity, ranging from mild illness to severe pneumonia, acute respiratory distress syndrome, and multiorgan failure. Early identification of patients at risk of severe disease is essential, particularly in resource-limited settings. Simple hematological and inflammatory markers may aid in early prediction of disease severity. Methods: A prospective observational study was conducted on 100 RT-PCRconfirmed COVID-19 patients admitted between December 2020 and October 2022 at Prathima Institute of Medical Sciences, South India. Patients were categorized as critical or non-critical according to World Health Organization (WHO) severity criteria. Hematological indices and inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), lymphocyte percentage, D-dimer, and interleukin-6 (IL-6), were analyzed and compared between the two groups. Results: The median NLR was significantly higher in critical patients compared to non-critical patients (6.35 vs 4.00; p Conclusion: Elevated NLR, lymphopenia, and increased IL-6 and D-dimer levels are reliable predictors of COVID-19 severity and may assist in early risk stratification and clinical decision-making.

PERSPECTIVES IN MEDICAL RESEARCHVol. 14(1)
Openalex Percentile: Top 6%
COVID-19 Clinical Research Studies
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.