Assessment of the relationship between hematologic parameters, (CPD), in screening for COVID-19 severity in women
- PMID: 40752013
- PMCID: PMC12320868
- DOI: 10.1080/20565623.2025.2540749
Assessment of the relationship between hematologic parameters, (CPD), in screening for COVID-19 severity in women
Abstract
Aims: This study evaluated hematological parameters and cell population data (CPDs) to assess their ability to discriminate between moderate and severe COVID-19 in hospitalized female patients, and to identify potential markers associated with worse outcomes.
Patients & methods: A retrospective study was conducted on 84 adult female COVID-19 patients hospitalized at CHC-UFPR (Brazil) between March 2020 and July 2021. Patients were stratified into moderate (n = 46) and severe (n = 38) disease groups. A control group included 100 healthy female outpatients. Parameters analyzed included D-dimer, WBC count, neutrophil-to-lymphocyte ratio (NLR), and CPDs (LY-X, LY-Y). RT-qPCR was used for SARS-CoV-2 confirmation and variant identification.
Results: Significant differences (p < 0.05) in LY-X, LY-Y, NLR, and WBC were found between moderate and severe groups. D-dimer was elevated in severe cases. Among deceased patients (n = 17), WBC and NLR were markedly increased. ROC curve analysis confirmed the discriminatory power of these markers. No significant association was found between viral genotype and severity (p = 0.9602).
Conclusions: Hematological parameters, particularly CPDs and NLR, are valuable for early stratification of COVID-19 severity. These automated, rapid, and cost-effective measures can support clinical decision-making. However, CPD usage depends on analyzer availability and lacks standardization across platforms.
Keywords: COVID-19; CPD (cell population data); D-dimer; SARS-CoV-2; moderate disease; severe disease; sysmex XN-3100; women.
Plain language summary
Introduction COVID-19 overview: COVID-19 is a highly transmissible and potentially severe infectious disease caused by SARS-CoV-2, associated with a complex systemic inflammatory response.Relevance of hematological parameters: Traditional biomarkers have shown limitations in disease stratification. Recent evidence supports the use of hematological indicators such as cell population data (CPD) and D-dimer in evaluating disease severity.Study objective: To assess the diagnostic and prognostic potential of CPD parameters, neutrophil-to-lymphocyte ratio (NLR), white blood cell count (WBC), and D-dimer levels in female COVID-19 patients.Methods Design and population: A retrospective analysis was conducted at CHC-UFPR, involving 84 female COVID-19-positive patients (38 with severe and 46 with moderate disease) and 100 female controls without COVID-19.Laboratory procedures: Complete blood count (CBC) and CPDs were analyzed using the Sysmex XN-3100. D-dimer measurements were performed on the Sysmex CS Series. RT-qPCR was used for SARS-CoV-2 variant genotyping.Statistical analysis: Data were evaluated using R software with GCMR package and ROC curves generated with MedCalc. A 5% significance level was adopted.Results Key biomarkers: LY-X and LY-Y (CPDs), NLR, WBC, and D-dimer levels were significantly associated with disease severity (p < 0.05).Prognostic indicators: Elevated NLR and WBC levels were strongly correlated with fatal outcomes.Severity vs. outcome: A statistically significant correlation (p < 0.001) was observed between clinical severity and mortality, reinforcing the value of hematological parameters in predicting outcomes.Variant analysis: Although the Gamma variant predominated among severe cases and deaths, genotyping results did not statistically influence severity (p = 0.9602).ROC performance: LY-X, LY-Y, NLR, and WBC showed statistically significant diagnostic accuracy in distinguishing between moderate and severe disease.Discussion Inflammatory dysregulation: Severe COVID-19 patients exhibited leukocytosis, lymphopenia, and elevated NLR, indicative of systemic immune dysregulation.Lymphocyte markers: LY-X and LY-Y effectively represented lymphocyte depletion and inflammatory activity, correlating with disease progression.NLR as a predictor: NLR values were markedly elevated in severe cases, reinforcing its utility as an accessible inflammatory marker in COVID-19.Role of D-dimer: While elevated in severe cases and useful in early risk assessment, D-dimer showed limited utility in monitoring treatment response.Variant considerations: Despite the predominance of the Gamma variant among severe cases, the sample size limited definitive conclusions on variant-specific outcomes.Final considerations Clinical applicability: Hematological parameters, particularly CPDs and NLR, are promising tools for early severity stratification in COVID-19, providing fast, cost-effective, and minimally invasive support for clinical decision-making.Advantages of CPDs: These parameters offer real-time insights during routine blood analysis, without requiring additional samples or testing time.Limitations and future directions: The need for specialized equipment and the lack of standardization may restrict widespread CPD implementation. Further studies with larger, more diverse populations are warranted.
Conflict of interest statement
The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
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