Table 6 Univariable and multivariable logistic regression analysis for in-hospital mortality-related risks in patients with SARS-CoV-2 infection.

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

Parameter

Univariable

Multivariablea

Odds ratio (CI 95%)

p

Odds ratio (CI 95%)

p

Total CD3+ < 526 cells/µl

7.26 (3.14–16.81)

< 0.001

11.57 (1.54–86.77)

0.017

CD3 + CD4+ < 369 cells/µl

9.08 (3.71–22.31)

< 0.001

8.12 (1.19–55.52)

0.033

CD3 + CD8+ < 194 cells/µl

6.34 (2.69–14.94)

< 0.001

3.13 (0.57–17.25)

0.19

CD3 + CD4 + CD8+ < 6.5 cells/µl

7.14 (3.02–16.89)

< 0.001

4.33 (0.72–26.29)

0.11

CD3 + CD4 − CD8− < 21.5 cells/µl

6.89 (2.85–16.64)

< 0.001

1.09 (020–5.84)

0.92

T-lymphocyte subset index (TLSI)b

2.54 (1.81–3.56)

< 0.001

2.18 (1.00–4.76)

0.05

  1. Statistically significant p values are highlited in bold.
  2. Univariable and multivariable logistic regression analyses were performed. Odds ratios and 95% Confidence Interval (CI 95%) are reported. A two-sided p value of < 0.05 was considered statistically significant.
  3. N/L ratio neutrophil-to-lymphocyte ratio, CRP C-reactive protein, LDH lactate dehydrogenase, AST aspartate transaminase, INR international normalized ratio, IL-6 interleukin-6.
  4. aAdjusting for age, gender, number of comorbidities, hemoglobin, white blood cell absolute counts, N/L ratio, CRP, LDH, AST, Creatinine, INR, d-dimer and IL-6.
  5. bThe number of T-lymphocyte subset absolute counts under the cut-off value, ranging from 0 to 4.
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