Table 4 Results from a logistic model predicting severe covid-19 outcome among the confirmed infected adults, fit separately to ID and non-ID populations (SDE dataset)
From: Understanding covid-19 outcomes among people with intellectual disabilities in England
| Â | ID | No ID | ||||
|---|---|---|---|---|---|---|
Odds ratio | 95% CI | p-value | Odds ratio | 95% CI | p-value | |
Age at covid | 1.03 | 1.03, 1.03 | 0.000 | 1.04 | 1.04, 1.04 | 0.000 |
Female | 0.78 | .73, .83 | 0.000 | 0.74 | .74, .75 | 0.000 |
Ethnicity | ||||||
 White | (base) |  |  | (base) |  |  |
 Asian | 1.92 | 1.69, 2.17 | 0.000 | 1.86 | 1.84, 1.89 | 0.000 |
 Black | 1.87 | 1.58, 2.23 | 0.000 | 2.25 | 2.21, 2.29 | 0.000 |
 Mixed | 1.13 | .86, 1.49 | 0.390 | 1.69 | 1.65, 1.74 | 0.000 |
 Other | 1.84 | 1.36, 2.5 | 0.000 | 2.09 | 2.04, 2.14 | 0.000 |
IMD decile | a | 0.97 | .96, .97 | 0.000 | ||
Vaccination | ||||||
 None | (base) |  |  | (base) |  |  |
 AstraZeneca | 0.38 | .34, .41 | 0.000 | 0.27 | .27, .27 | 0.000 |
 Moderna | 0.09 | .04, .17 | 0.000 | 0.08 | .08, .09 | 0.000 |
 Pfizer | 0.17 | .15, .19 | 0.000 | 0.19 | .19, .19 | 0.000 |
Count of long-term conditionsb | 1.61 | 1.59, 1.63 | 0.000 | 1.55 | 1.55, 1.55 | 0.000 |
Count of prescription medicines | 1.08 | 1.07, 1.09 | 0.000 | 1.10 | 1.10, 1.10 | 0.000 |
Interaction of the above two counts | 0.98 | 0.98, 0.98 | 0.000 | 0.98 | 0.98, 0.98 | 0.000 |
Constant | 0.01 | 0.01, 0.01 | 0.000 | 0.00 | 0.00, 0.00 | 0.000 |
Observations | 45540 | 8250210 | ||||