Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19

Abstract Background Low blood absolute lymphocyte count (ALC) may predict severe COVID-19 outcomes. Knowledge gaps remain regarding the relationship of ALC trajectory with clinical outcomes and factors associated with lymphopenia. Methods Our post hoc analysis of the Therapeutics for Inpatients with...

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Main Authors: Catharine I. Paules, Jacqueline A. Nordwall, Kathryn Shaw-Saliba, Judith A. Aberg, Edward M. Gardner, Anna L. Goodman, N. Kumarasamy, Shikha Vasudeva, David M. Vock, Crystal M. North, Jens Lundgren, Neil R. Aggarwal, for the STRIVE Network and TICO Trial Study Group
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Infectious Diseases
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Online Access:https://doi.org/10.1186/s12879-024-10428-7
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author Catharine I. Paules
Jacqueline A. Nordwall
Kathryn Shaw-Saliba
Judith A. Aberg
Edward M. Gardner
Anna L. Goodman
N. Kumarasamy
Shikha Vasudeva
David M. Vock
Crystal M. North
Jens Lundgren
Neil R. Aggarwal
for the STRIVE Network and TICO Trial Study Group
author_facet Catharine I. Paules
Jacqueline A. Nordwall
Kathryn Shaw-Saliba
Judith A. Aberg
Edward M. Gardner
Anna L. Goodman
N. Kumarasamy
Shikha Vasudeva
David M. Vock
Crystal M. North
Jens Lundgren
Neil R. Aggarwal
for the STRIVE Network and TICO Trial Study Group
author_sort Catharine I. Paules
collection DOAJ
description Abstract Background Low blood absolute lymphocyte count (ALC) may predict severe COVID-19 outcomes. Knowledge gaps remain regarding the relationship of ALC trajectory with clinical outcomes and factors associated with lymphopenia. Methods Our post hoc analysis of the Therapeutics for Inpatients with COVID-19 platform trial utilized proportional hazards models to assess relationships between Day (D) 0 lymphopenia (ALC < 0.9 cells/uL), D0 severe lymphopenia (ALC < 0.5 cells/uL) or lymphopenia trajectory between D0 and D5 with mortality and secondary infections, and with sustained recovery using Fine-Gray models. Logistic regression was used to assess relationships between clinical variables and D0 lymphopenia or lymphopenia trajectory. Results D0 lymphopenia (1426/2579) and severe lymphopenia (636/2579) were associated with increased mortality (aHR 1.48; 1.08, 2.05, p = 0.016 and aHR 1.60; 1.20, 2.14, p = 0.001) and decreased recovery (aRRR 0.90; 0.82, 0.99, p = 0.033 and aRRR 0.78; 0.70, 0.87, p < 0.001 respectively). Trial participants with persistent D5 lymphopenia had increased mortality, and increased secondary infections, and participants with persistent or new lymphopenia had impaired recovery, as compared to participants with no lymphopenia. Persistent and new lymphopenia were associated with older age, male sex; prior immunosuppression, heart failure, aspirin use, and normal body mass index; biomarkers of organ damage (renal and lung), and ineffective immune response (elevated IL-6 and viral nucleocapsid antigen levels). Similar results were observed with severe lymphopenia. Conclusions Lymphopenia was predictive of severe COVID-19 outcomes, particularly when persistent or new during hospitalization. A better understanding of the underlying risk factors for lymphopenia will help illuminate disease pathogenesis and guide management strategies.
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spelling doaj-art-27e6e78acaec49049a082250a6417edc2025-01-19T12:11:44ZengBMCBMC Infectious Diseases1471-23342025-01-0125111510.1186/s12879-024-10428-7Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19Catharine I. Paules0Jacqueline A. Nordwall1Kathryn Shaw-Saliba2Judith A. Aberg3Edward M. Gardner4Anna L. Goodman5N. Kumarasamy6Shikha Vasudeva7David M. Vock8Crystal M. North9Jens Lundgren10Neil R. Aggarwal11for the STRIVE Network and TICO Trial Study GroupDivision of Infectious Diseases, Penn State Health Milton S. Hershey Medical CenterDivision of Biostatistics and Health Data Science, School of Public Health, University of MinnesotaDivision of Clinical Research, National Institute of Allergy and Infectious Diseases, National Institutes of HealthDepartment of Medicine, Icahn School of Medicine at Mount SinaiDenver Health and HospitalMRC Clinical Trials Unit at University College London and CIDR, King’s College London and Guy’s and St. Thomas’ NHS Foundation TrustVHS Infectious Diseases Medical Centre, CART Clinical Research Site, Voluntary Health ServicesDivision of Infectious Diseases, VA Medical CenterDivision of Biostatistics and Health Data Science, School of Public Health, University of MinnesotaDivision of Pulmonary and Critical Care Medicine, Massachusetts General HospitalCHIP Center of Excellence for Health, Immunity, and Infections, Department of Infectious Diseases, University of CopenhagenDivision of Pulmonary Sciences and Critical Care Medicine, University of Colorado School of MedicineAbstract Background Low blood absolute lymphocyte count (ALC) may predict severe COVID-19 outcomes. Knowledge gaps remain regarding the relationship of ALC trajectory with clinical outcomes and factors associated with lymphopenia. Methods Our post hoc analysis of the Therapeutics for Inpatients with COVID-19 platform trial utilized proportional hazards models to assess relationships between Day (D) 0 lymphopenia (ALC < 0.9 cells/uL), D0 severe lymphopenia (ALC < 0.5 cells/uL) or lymphopenia trajectory between D0 and D5 with mortality and secondary infections, and with sustained recovery using Fine-Gray models. Logistic regression was used to assess relationships between clinical variables and D0 lymphopenia or lymphopenia trajectory. Results D0 lymphopenia (1426/2579) and severe lymphopenia (636/2579) were associated with increased mortality (aHR 1.48; 1.08, 2.05, p = 0.016 and aHR 1.60; 1.20, 2.14, p = 0.001) and decreased recovery (aRRR 0.90; 0.82, 0.99, p = 0.033 and aRRR 0.78; 0.70, 0.87, p < 0.001 respectively). Trial participants with persistent D5 lymphopenia had increased mortality, and increased secondary infections, and participants with persistent or new lymphopenia had impaired recovery, as compared to participants with no lymphopenia. Persistent and new lymphopenia were associated with older age, male sex; prior immunosuppression, heart failure, aspirin use, and normal body mass index; biomarkers of organ damage (renal and lung), and ineffective immune response (elevated IL-6 and viral nucleocapsid antigen levels). Similar results were observed with severe lymphopenia. Conclusions Lymphopenia was predictive of severe COVID-19 outcomes, particularly when persistent or new during hospitalization. A better understanding of the underlying risk factors for lymphopenia will help illuminate disease pathogenesis and guide management strategies.https://doi.org/10.1186/s12879-024-10428-7LymphocytesSARS-CoV-2Precision medicine
spellingShingle Catharine I. Paules
Jacqueline A. Nordwall
Kathryn Shaw-Saliba
Judith A. Aberg
Edward M. Gardner
Anna L. Goodman
N. Kumarasamy
Shikha Vasudeva
David M. Vock
Crystal M. North
Jens Lundgren
Neil R. Aggarwal
for the STRIVE Network and TICO Trial Study Group
Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19
BMC Infectious Diseases
Lymphocytes
SARS-CoV-2
Precision medicine
title Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19
title_full Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19
title_fullStr Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19
title_full_unstemmed Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19
title_short Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19
title_sort blood absolute lymphocyte count and trajectory are important in understanding severe covid 19
topic Lymphocytes
SARS-CoV-2
Precision medicine
url https://doi.org/10.1186/s12879-024-10428-7
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