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Table 2 Association between IgG antibody and cohort patient characteristics in GEE model analyses

From: Long-term immune responses in patients with confirmed novel coronavirus disease-2019: a 9-month prospective cohort study in Shanghai, China

Factor

Model 1†

Model 2#

Adjusted OR (95%CI)

P value

Adjusted OR (95%CI)

P value

Age, 40-years vs. 0–39 years

4.531 (1.879–10.932)

0.001**

5.165 (1.469–18.151)

0.011*

Cigarette smoking

0.344 (0.124–0.951)

0.040*

0.366 (0.112–1.194)

0.096

Fever

2.479 (1.078–5.698)

0.033*

1.326 (0.458–3.842)

0.603

Fatigue

7.508 (1.671–33.734)

0.009**

5.585 (0.819–38.084)

0.079

First blood test

    

 White blood cell count (× 109/L)

0.812 (0.686–0.963)

0.017*

0.85 (0.674–1.072)

0.169

 Leukomonocyte cell count (× 109/L)

0.502 (0.275–0.918)

0.025*

0.869 (0.41–1.843)

0.715

  1. Generalized estimating equation (GEE) models with logit link functions for repeated measure were used. Only statistically significant results are shown
  2. *P < 0.05; **P < 0.01
  3. †Two dependent variables include duration from onset to follow-up (days) and one of the following factors, gender, age, cigarette smoking, alcohol drinking, BMI, abroad imported patient, involvement in a cluster, duration from onset to admission (days), duration from admission to discharge (days), comorbidities, clinical intensity, any symptom, fever, pneumonia, cough, fatigue, first blood test (white blood cell count (× 109/L), leukomonocyte cell count (× 109/L))
  4. #Duration from onset to follow-up (days) and statistical significant factors in model 1 were included in model 2. Results of all included factors are shown in the table
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BMC Infectious Diseases

ISSN: 1471-2334

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