Table 3.
Sensitivity analysis for the association between serum IGF-1 concentrations and COVID-19 mortality after excluding 267 participants with baseline cancer or cardiovascular disease
| Quartile of log-transformed IGF-1 levels, OR (95% CI)a | P-trendb | OR per 1-SD incrementc | Adjusted OR per 1-SD incrementd | ||||
|---|---|---|---|---|---|---|---|
| Q1 | Q2 | Q3 | Q4 | ||||
| No. of cases | 113 | 84 | 83 | 44 | |||
| Model 1 | Ref | 0.73 (0.51–1.06) | 0.85 (0.58–1.23) | 0.46 (0.30–0.70) | 0.002 | 0.80 (0.69–0.92) | 0.75 (0.62–0.90) |
| Model 2 | Ref | 0.77 (0.53–1.12) | 0.94 (0.64–1.38) | 0.51 (0.33–0.80) | 0.02 | 0.85 (0.73–0.98) | 0.81 (0.67–0.98) |
| Model 2 plus other factorse | Ref | 0.71 (0.47–1.08) | 1.03 (0.68–1.57) | 0.57 (0.35–0.91) | 0.09 | 0.86 (0.73–1.01) | 0.82 (0.66–1.01) |
OR, odds ratio; CI, confidence interval; ref, reference
aModel 1: adjusted for age at infection, sex, ethnicity. Model 2: additionally adjusted for Townsend deprivation index, body mass index, smoking status, alcohol drinking, physical activity, and prevalent diabetes
bP-trend was based on the median value of each quartile of log-transformed IGF-1 levels as a continuous variable in the models
cSD was the standard deviation of log-transformed IGF-1 levels, which was 0.30
dORs per SD increment were additionally corrected for the intraclass correlation coefficient (0.78) obtained from the subsample of participants with repeat IGF-1 measurements
eModel 2 plus additional adjustment for serum glucose, cardiovascular risk factors (serum lipids, blood pressure, cholesterol lowering and antihypertensive medication), and C-reactive protein. A total of 195 participants had missing data on serum glucose, lipids, or C-reactive protein