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. 2022 Mar 10;22:240. doi: 10.1186/s12879-022-07173-0

Table 2.

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

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

Generalized estimating equation (GEE) models with logit link functions for repeated measure were used. Only statistically significant results are shown

*P < 0.05; **P < 0.01

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))

#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