Table 2.
Univariable and multivariable linear regression analyses of serum R–SH at baseline in mild COVID-19 with clinical and biochemical parameters.
| Univariable analysis |
Multivariable analysis |
|||
|---|---|---|---|---|
| St. βa | p-value | St. βa | p-value | |
| Age | −0.55 | <0.001 | ||
| Female sex | −0.10 | 0.273 | ||
| BMI | −0.24 | 0.008 | −0.29 | 0.049 |
| Current smoking | −0.06 | 0.476 | ||
| Level of education – college level or higher | 0.20 | 0.023 | ||
| Biometrics | ||||
| Respiratory rateb | −0.21 | 0.025 | ||
| Pulse | −0.07 | 0.489 | ||
| Comorbidities | ||||
| Cardiovascular | −0.15 | 0.085 | ||
| Pulmonary | −0.07 | 0.443 | ||
| Metabolic | −0.08 | 0.353 | ||
| Inflammatory/autoimmune | −0.10 | 0.274 | ||
| Malignancy | −0.07 | 0.481 | ||
| Neurological | −0.06 | 0.506 | ||
| Hematological | −0.01 | 0.873 | ||
| Gastrointestinal | 0.16 | 0.073 | ||
| Laboratory measurements | ||||
| Hemoglobin (g/dL) | 0.05 | 0.580 | ||
| CRP (mg/L)b | −0.36 | <0.001 | ||
| WBC (x109/L)b | −0.12 | 0.199 | ||
| Platelets (x109/L) | −0.01 | 0.933 | ||
| Albumin (g/L) | 0.59 | <0.001 | ||
| Total bilirubin (μmol/L)b | 0.13 | 0.159 | ||
| ALT (U/L)b | −0.34 | <0.001 | ||
| AST (U/L)b | −0.31 | <0.001 | −0.75 | <0.001 |
| AP (U/L)b | −0.28 | 0.002 | ||
| GGT (U/L)b | −0.49 | <0.001 | ||
| eGFR (mL/min x 1.73 m2) | 0.53 | <0.001 | ||
| Creatinine (μmol/L)b | −0.19 | 0.033 | ||
| PCS | ||||
| at 3 months | 0.01 | 0.920 | ||
| at 6 months | 0.00 | 0.996 | ||
| at 12 months | −0.11 | 0.278 | ||
| at 18 months | −0.08 | 0.511 | ||
P-values <0.05 were considered statistically significant (indicated in bold).
Abbreviations: ALT, alanine aminotransferase; AP, alkaline phosphatase; AST, aspartate aminotransferase; BMI, body mass index; CRP, C-reactive protein; eGFR, estimated glomerular filtration rate; GGT, gamma-glutamyl transferase; HC, healthy controls; PCS, post-COVID-19 syndrome; WBC, white blood cell count.
Standardized beta (St. β) coefficient represents the difference in serum R–SH concentrations per 1-SD increment/decrement for continuous variables and the difference in serum R–SH concentrations compared to the reference group for categorical variables.
Skewed variables were log-transformed before entering the linear regression analyses.