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. 2021 May 18;6:100122. doi: 10.1016/j.lanepe.2021.100122

Table 2.

Predictors of post-COVID syndrome (PCS) based on an uni- and multivariable logistic regression model.

Post-COVID-19 syndrome
Univariate regression
Multivariable regression
No (n = 230) Yes (n = 123) OR (95% CI)* p-value aOR (95% CI)* p-value
Male 112 (48•7%) 39 (31•7%) 0•49 (0•31–0•77) •002 0•59 (0•36–0•98) •040
Female 118 (51•3%) 84 (68•3%) ref•
Median Age (IQR) 49 (35–56) 47 (33–56) 0•99 (0•97–1•01) •435
Preconditions 63 (28•8%) 31 (26•3%) 0•88 (0•53–1•46) •626
Hospitalisation 8 (3•6%) 0 n•a•
Symptoms during acute phase Median duration (days; IQR) 13 (8–16) 14 (11–21) 1•04 (0•91–1•07) •201
Number of symptoms (median; IQR) 4 (2–5) 5 (3–6) 1•28 (1•13–1•46) <0•001 1•29 (1•08–1•55) •005
Fever 104 (45•2%) 48 (39•0%) 0•78 (0•50–1•21) •263
Cough 147 (63•9%) 87 (70•7%) 1•37 (0•85–2•19) •179 0•94 (0•53–1•67) •824
Sore Throat 72 (31•2%) 45 (36•6%) 1•27 (0•81–2•00) •316
Rhinitis 75 (32•6%) 44 (35•8%) 1•15 (0•73–1•82) •549
Muscle and/or body aches 122 (53•0%) 71 (57•7%) 1•21 (0•78–1•88) •400
Headache 112 (48•7%) 71 (57•7%) 1•44 (0•93–2•23) •106 0•84 (0•48–1•47) •537
Diarrhoea 25 (10•9%) 26 (21•1%) 2•19 (1•21–4•00) •010 1•50 (0•78–2•91) •277
Anosmia 117 (57•0%) 85 (42•1%)
Ageusia 94 (51•4%) 89 (48•6%)
IgG Level IgG categories
IgG ≤ 1•1 28 (12•8) 21 (17•6) 1•92 (0•99–3•72) •054 2•05 (0•99–4•22) •051
IgG 1•2 - 4 76 (34•7) 53 (44•5) 1•78 (1•09–2•91) •021 1•90 (1•13–3•18) •015
IgG > 4 115 (52•5) 45 (37•8) ref• ref•
1st Visit (S/CO-Ratio, median IQR) 4 (2–7) 3 (1–6)
2nd Visit (S/CO-Ratio, median IQR) 3 (2–5) 2 (1–4)
3rd Visit (S/CO-Ratio, median IQR) 2 (1–4) 2 (1–4)

Odds-Ratio, 95% confidence interval and p-value obtained using binary logistic regression. n, number; OR, Odds-Ratio; aOR, adjusted Odds-Ratio; ref, reference; n/a, not applicable, IQR, interquartile range; S/CO-Ratio, signal-to-cutoff Ratio.