The aim of this study was to evaluate the role of baseline lymphocyte subset counts in predicting the outcome and severity of COVID-19 patients. Hospitalized patients confirmed to be infected with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) were included and classified according to in-hospital mortality (survivors/nonsurvivors) and the maximal oxygen support/ventilation supply required (nonsevere/severe). Demographics, clinical and laboratory data, and peripheral blood lymphocyte subsets were retrospectively analyzed. Overall, 160 patients were retrospectively included in the study. T-lymphocyte subset (total CD3+, CD3+ CD4+, CD3+ CD8+, CD3+ CD4+ CD8+ double positive [DP] and CD3+ CD4- CD8- double negative [DN]) absolute counts were decreased in nonsurvivors and in patients with severe disease compared to survivors and nonsevere patients (p < 0.001). Multivariable logistic regression analysis showed that absolute counts of CD3+ T-lymphocytes < 524 cells/µl, CD3+ CD4+ < 369 cells/µl, and the number of T-lymphocyte subsets below the cutoff (T-lymphocyte subset index [TLSI]) were independent predictors of in-hospital mortality. Baseline T-lymphocyte subset counts and TLSI were also predictive of disease severity (CD3+  < 733 cells/µl; CD3+ CD4+ < 426 cells/µl; CD3+ CD8+ < 262 cells/µl; CD3+ DP < 4.5 cells/µl; CD3+ DN < 18.5 cells/µl). The evaluation of peripheral T-lymphocyte absolute counts in the early stages of COVID-19 might represent a useful tool for identifying patients at increased risk of unfavorable outcomes.

Iannetta, M., Buccisano, F., Fraboni, D., Malagnino, V., Campogiani, L., Teti, E., et al. (2021). Baseline T-lymphocyte subset absolute counts can predict both outcome and severity in {SARS}-{CoV}-2 infected patients: a single center study. SCIENTIFIC REPORTS, 11(1), 12762 [10.1038/s41598-021-90983-0].

Baseline T-lymphocyte subset absolute counts can predict both outcome and severity in {SARS}-{CoV}-2 infected patients: a single center study

Marco Iannetta
;
Francesco Buccisano;Vincenzo Malagnino;Elisabetta Teti;Maria Teresa Voso;Massimo Andreoni;Loredana Sarmati
2021-06-01

Abstract

The aim of this study was to evaluate the role of baseline lymphocyte subset counts in predicting the outcome and severity of COVID-19 patients. Hospitalized patients confirmed to be infected with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) were included and classified according to in-hospital mortality (survivors/nonsurvivors) and the maximal oxygen support/ventilation supply required (nonsevere/severe). Demographics, clinical and laboratory data, and peripheral blood lymphocyte subsets were retrospectively analyzed. Overall, 160 patients were retrospectively included in the study. T-lymphocyte subset (total CD3+, CD3+ CD4+, CD3+ CD8+, CD3+ CD4+ CD8+ double positive [DP] and CD3+ CD4- CD8- double negative [DN]) absolute counts were decreased in nonsurvivors and in patients with severe disease compared to survivors and nonsevere patients (p < 0.001). Multivariable logistic regression analysis showed that absolute counts of CD3+ T-lymphocytes < 524 cells/µl, CD3+ CD4+ < 369 cells/µl, and the number of T-lymphocyte subsets below the cutoff (T-lymphocyte subset index [TLSI]) were independent predictors of in-hospital mortality. Baseline T-lymphocyte subset counts and TLSI were also predictive of disease severity (CD3+  < 733 cells/µl; CD3+ CD4+ < 426 cells/µl; CD3+ CD8+ < 262 cells/µl; CD3+ DP < 4.5 cells/µl; CD3+ DN < 18.5 cells/µl). The evaluation of peripheral T-lymphocyte absolute counts in the early stages of COVID-19 might represent a useful tool for identifying patients at increased risk of unfavorable outcomes.
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MED/06
English
Iannetta, M., Buccisano, F., Fraboni, D., Malagnino, V., Campogiani, L., Teti, E., et al. (2021). Baseline T-lymphocyte subset absolute counts can predict both outcome and severity in {SARS}-{CoV}-2 infected patients: a single center study. SCIENTIFIC REPORTS, 11(1), 12762 [10.1038/s41598-021-90983-0].
Iannetta, M; Buccisano, F; Fraboni, D; Malagnino, V; Campogiani, L; Teti, E; Spalliera, I; Rossi, B; Di Lorenzo, A; Palmieri, R; Crea, A; Zordan, M; Vitale, P; Voso, Mt; Andreoni, M; Sarmati, L
Articolo su rivista
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/276189
Citazioni
  • ???jsp.display-item.citation.pmc??? 11
  • Scopus 14
  • ???jsp.display-item.citation.isi??? 13
social impact