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Validation of the T-Lymphocyte Subset Index (TLSI) as a Score to Predict Mortality in Unvaccinated Hospitalized COVID-19 Patients
Lymphopenia has been consistently reported as associated with severe coronavirus disease 2019 (COVID-19). Several studies have described a profound decline in all T-cell subtypes in hospitalized patients with severe and critical COVID-19. The aim of this study was to assess the role of T-lymphocyte...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687349/ https://www.ncbi.nlm.nih.gov/pubmed/36359306 http://dx.doi.org/10.3390/biomedicines10112788 |
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author | Di Lorenzo, Andrea Tedde, Simona Pace, Pier Giorgio Campogiani, Laura Ansaldo, Lorenzo Lodi, Alessandra Zordan, Marta Barreca, Filippo Caldara, Federica Rossi, Benedetta Imeneo, Alessandra Alessio, Grazia Crea, Angela Maria Antonia Checchi, Davide Malagnino, Vincenzo Teti, Elisabetta Coppola, Luigi Palmieri, Raffaele Buccisano, Francesco Andreoni, Massimo Sarmati, Loredana Iannetta, Marco |
author_facet | Di Lorenzo, Andrea Tedde, Simona Pace, Pier Giorgio Campogiani, Laura Ansaldo, Lorenzo Lodi, Alessandra Zordan, Marta Barreca, Filippo Caldara, Federica Rossi, Benedetta Imeneo, Alessandra Alessio, Grazia Crea, Angela Maria Antonia Checchi, Davide Malagnino, Vincenzo Teti, Elisabetta Coppola, Luigi Palmieri, Raffaele Buccisano, Francesco Andreoni, Massimo Sarmati, Loredana Iannetta, Marco |
author_sort | Di Lorenzo, Andrea |
collection | PubMed |
description | Lymphopenia has been consistently reported as associated with severe coronavirus disease 2019 (COVID-19). Several studies have described a profound decline in all T-cell subtypes in hospitalized patients with severe and critical COVID-19. The aim of this study was to assess the role of T-lymphocyte subset absolute counts measured at ward admission in predicting 30-day mortality in COVID-19 hospitalized patients, validating a new prognostic score, the T-Lymphocyte Subset Index (TLSI, range 0–2), based on the number of T-cell subset (CD4+ and CD8+) absolute counts that are below prespecified cutoffs. These cutoff values derive from a previously published work of our research group at Policlinico Tor Vergata, Rome, Italy: CD3+CD4+ < 369 cells/μL, CD3+CD8+ < 194 cells/μL. In the present single-center retrospective study, T-cell subsets were assessed on admission to the infectious diseases ward. Statistical analysis was performed using JASP (Version 0.16.2. JASP Team, 2022, Amsterdam, The Netherlands) and Prism8 (version 8.2.1. GraphPad Software, San Diego, CA, USA). Clinical and laboratory parameters of 296 adult patients hospitalized because of COVID-19 were analyzed. The overall mortality rate was 22.3% (66/296). Survivors (S) had a statistically significant lower TLSI score compared to non-survivors (NS) (p < 0.001). Patients with increasing TLSI scores had proportionally higher rates of 30-day mortality (p < 0.0001). In the multivariable logistic analysis, the TLSI was an independent predictor of in-hospital 30-day mortality (OR: 1.893, p = 0.003). Survival analysis showed that patients with a TLSI > 0 had an increased risk of death compared to patients with a TLSI = 0 (hazard ratio: 2.83, p < 0.0001). The TLSI was confirmed as an early and independent predictor of COVID-19 in-hospital 30-day mortality. |
format | Online Article Text |
id | pubmed-9687349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96873492022-11-25 Validation of the T-Lymphocyte Subset Index (TLSI) as a Score to Predict Mortality in Unvaccinated Hospitalized COVID-19 Patients Di Lorenzo, Andrea Tedde, Simona Pace, Pier Giorgio Campogiani, Laura Ansaldo, Lorenzo Lodi, Alessandra Zordan, Marta Barreca, Filippo Caldara, Federica Rossi, Benedetta Imeneo, Alessandra Alessio, Grazia Crea, Angela Maria Antonia Checchi, Davide Malagnino, Vincenzo Teti, Elisabetta Coppola, Luigi Palmieri, Raffaele Buccisano, Francesco Andreoni, Massimo Sarmati, Loredana Iannetta, Marco Biomedicines Article Lymphopenia has been consistently reported as associated with severe coronavirus disease 2019 (COVID-19). Several studies have described a profound decline in all T-cell subtypes in hospitalized patients with severe and critical COVID-19. The aim of this study was to assess the role of T-lymphocyte subset absolute counts measured at ward admission in predicting 30-day mortality in COVID-19 hospitalized patients, validating a new prognostic score, the T-Lymphocyte Subset Index (TLSI, range 0–2), based on the number of T-cell subset (CD4+ and CD8+) absolute counts that are below prespecified cutoffs. These cutoff values derive from a previously published work of our research group at Policlinico Tor Vergata, Rome, Italy: CD3+CD4+ < 369 cells/μL, CD3+CD8+ < 194 cells/μL. In the present single-center retrospective study, T-cell subsets were assessed on admission to the infectious diseases ward. Statistical analysis was performed using JASP (Version 0.16.2. JASP Team, 2022, Amsterdam, The Netherlands) and Prism8 (version 8.2.1. GraphPad Software, San Diego, CA, USA). Clinical and laboratory parameters of 296 adult patients hospitalized because of COVID-19 were analyzed. The overall mortality rate was 22.3% (66/296). Survivors (S) had a statistically significant lower TLSI score compared to non-survivors (NS) (p < 0.001). Patients with increasing TLSI scores had proportionally higher rates of 30-day mortality (p < 0.0001). In the multivariable logistic analysis, the TLSI was an independent predictor of in-hospital 30-day mortality (OR: 1.893, p = 0.003). Survival analysis showed that patients with a TLSI > 0 had an increased risk of death compared to patients with a TLSI = 0 (hazard ratio: 2.83, p < 0.0001). The TLSI was confirmed as an early and independent predictor of COVID-19 in-hospital 30-day mortality. MDPI 2022-11-02 /pmc/articles/PMC9687349/ /pubmed/36359306 http://dx.doi.org/10.3390/biomedicines10112788 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Di Lorenzo, Andrea Tedde, Simona Pace, Pier Giorgio Campogiani, Laura Ansaldo, Lorenzo Lodi, Alessandra Zordan, Marta Barreca, Filippo Caldara, Federica Rossi, Benedetta Imeneo, Alessandra Alessio, Grazia Crea, Angela Maria Antonia Checchi, Davide Malagnino, Vincenzo Teti, Elisabetta Coppola, Luigi Palmieri, Raffaele Buccisano, Francesco Andreoni, Massimo Sarmati, Loredana Iannetta, Marco Validation of the T-Lymphocyte Subset Index (TLSI) as a Score to Predict Mortality in Unvaccinated Hospitalized COVID-19 Patients |
title | Validation of the T-Lymphocyte Subset Index (TLSI) as a Score to Predict Mortality in Unvaccinated Hospitalized COVID-19 Patients |
title_full | Validation of the T-Lymphocyte Subset Index (TLSI) as a Score to Predict Mortality in Unvaccinated Hospitalized COVID-19 Patients |
title_fullStr | Validation of the T-Lymphocyte Subset Index (TLSI) as a Score to Predict Mortality in Unvaccinated Hospitalized COVID-19 Patients |
title_full_unstemmed | Validation of the T-Lymphocyte Subset Index (TLSI) as a Score to Predict Mortality in Unvaccinated Hospitalized COVID-19 Patients |
title_short | Validation of the T-Lymphocyte Subset Index (TLSI) as a Score to Predict Mortality in Unvaccinated Hospitalized COVID-19 Patients |
title_sort | validation of the t-lymphocyte subset index (tlsi) as a score to predict mortality in unvaccinated hospitalized covid-19 patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687349/ https://www.ncbi.nlm.nih.gov/pubmed/36359306 http://dx.doi.org/10.3390/biomedicines10112788 |
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