Long-term symptoms after SARS-CoV-2 infection in a cohort of hospital employees: duration and predictive factors

BMC Infectious Diseases

Table 3 Cox regression model for the event odds of becoming asymptomatic

	OR (95%CI)	SE	p value
Gender (female)	0.76 (0.44–1.31)	0.28	0.319
Age at the time of COVID disease	0.99 (0.97–1.01)	0.01	0.376
Professional group (Medical staff)	2.13 (0.98–4.62)	0.39	0.055
Professional group (Others)	1.02 (0.57–1.86)	0.30	0.938
Work on the COVID ward (yes)	0.89 (0.48–1.66)	0.32	0.711
Initial Ct value	1.05 (1.01–1.09)	0.02	0.019
Transmission type (Possibly nosocomial)	0.48 (0.24–0.98)	0.36	0.044
Transmission type (Definitely nosocomial)	0.59 (0.33–1.05)	0.30	0.074

OR; odds ratio. 95%CI; 95% confidence interval. SE; standard error. The event odds of becoming asymptomatic at day t are modelled. Only hospital employees with available initial Ct value were included (N = 150). For nominal scaled variables (gender, professional group, work on the COVID ward, transmission type), odds ratio refers to the reference characteristic (male gender, nursing staff, work on the non-COVID ward, community acquired). For interval scaled variables (age, Ct value), odds ratio refers to the characteristic that is one point/cycle higher in each case
To avoid misleading interpretation and since the modelled outcome is a positive event (asymptomatic), we refrain from hazard terminology in favor of odds

ISSN: 1471-2334