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Table 3 Logistic regression analysis of risk factors for persistent SARS-CoV-2 infection

From: In-depth analysis of the risk factors for persistent severe acute respiratory syndrome coronavirus 2 infection and construction of predictive models: an exploratory research study

Variable

Coefficient (β)

SE

p-value

aOR (95% CI)

Hypertension (Yes vs. No)

0.7

0.12

< 0.001

2.01 (1.58–2.57)

Diabetes (Yes vs. No)

1.3

0.18

< 0.001

3.67 (2.58–5.22)

Malignancy (Yes vs. No)

2.1

0.25

< 0.001

8.17 (5.01–13.32)

B-cell count (per unit)

− 0.02

0.005

0.002

0.98 (0.97–0.99)

CD4 + T-cell count (per unit)

0.01

0.003

0.021

1.01 (1.00–1.02)

Lung CT abnormalities (Yes vs. No)

1.5

0.20

< 0.001

4.48 (3.03–6.63)

Vaccination (Yes vs. No)

− 0.6

0.15

< 0.001

0.55 (0.41–0.74)

Intercept

− 3.5

0.40

< 0.001

  1. Reference categories: Binary variables (“No” for Hypertension, Diabetes, Malignancy, Lung CT abnormalities; “No” for Vaccination)
  2. Model fit: Hosmer–Lemeshow test (p = 0.34), AUC = 0.82 (95% CI: 0.76–0.88)
  3. aOR adjusted odds ratio, CI Confidence interval, SE Standard error