The Interplay Between Immunological and Inflammatory Markers as Key Prognostic Indicators in Elderly Patients with COVID-19

<b>Background:</b> The COVID-19 pandemic has disproportionately affected the elderly population, with inflammation and impaired immune response being key drivers of disease progression. Clinicians require predictive models integrating immunological and inflammatory biomarkers to optimize risk stratification in this vulnerable group. <b>Methods</b>: We retrospectively analyzed 1429 elderly patients (aged >60 years) admitted with COVID-19 between March 2020 and August 2022. Demographic, clinical, and laboratory data were collected at admission. Correlation and regression analyses were performed to assess the prognostic significance of hematological and inflammatory markers. <b>Results</b>: Lymphopenia and neutrophilia were predominant findings, frequently associated with elevated C-reactive protein levels. Correlation analyses revealed significant associations between inflammatory markers and discharge status or death, while lymphocytes exerted a protective effect, reducing mortality risk by 14.4%. Notably, a higher platelet-large cell ratio (PLCR) was linked to increased mortality, suggesting an important contribution of thrombosis to severe COVID-19. <b>Conclusions</b>: Our findings indicate that immunological and inflammatory markers may serve as significant predictors of outcomes in elderly COVID-19 patients. While the predictive power of the model remains limited, these biomarkers can contribute to a better understanding of patient trajectories and may inform therapeutic strategies.

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Publication Details

Journal
Healthcare
Published
2025-09-29
DOI
https://doi.org/10.3390/healthcare13192477
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

The Interplay Between Immunological and Inflammatory Markers as Key Prognostic Indicators in Elderly Patients with COVID-19

Alina-Maria Lescai, Violeta Diana Oprea, Amalia Vlad, Alexia Anastasia Ștefania Baltă et al.
Healthcare
COVID-19 Clinical Research Studies
article

The Interplay Between Immunological and Inflammatory Markers as Key Prognostic Indicators in Elderly Patients with COVID-19

Alina-Maria Lescai, Violeta Diana Oprea, Amalia Vlad, Alexia Anastasia Ștefania Baltă, Corina Popazu, Aurelia Romila, Marius Petrea, Robert Marius Grosu, Daniela-Ioanina Prisăcaru
article en

Abstract

<b>Background:</b> The COVID-19 pandemic has disproportionately affected the elderly population, with inflammation and impaired immune response being key drivers of disease progression. Clinicians require predictive models integrating immunological and inflammatory biomarkers to optimize risk stratification in this vulnerable group. <b>Methods</b>: We retrospectively analyzed 1429 elderly patients (aged >60 years) admitted with COVID-19 between March 2020 and August 2022. Demographic, clinical, and laboratory data were collected at admission. Correlation and regression analyses were performed to assess the prognostic significance of hematological and inflammatory markers. <b>Results</b>: Lymphopenia and neutrophilia were predominant findings, frequently associated with elevated C-reactive protein levels. Correlation analyses revealed significant associations between inflammatory markers and discharge status or death, while lymphocytes exerted a protective effect, reducing mortality risk by 14.4%. Notably, a higher platelet-large cell ratio (PLCR) was linked to increased mortality, suggesting an important contribution of thrombosis to severe COVID-19. <b>Conclusions</b>: Our findings indicate that immunological and inflammatory markers may serve as significant predictors of outcomes in elderly COVID-19 patients. While the predictive power of the model remains limited, these biomarkers can contribute to a better understanding of patient trajectories and may inform therapeutic strategies.

HealthcareVol. 13(19)
"Dunarea de Jos" University of Galati (RO), University of Tübingen (DE)
Universitatea 'Dunărea de Jos' Galați
Openalex Percentile: Top 68%
COVID-19 Clinical Research Studies
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