Table 3.
Probability of reaching an endpoint by risk factor
Mortality (108/974 [11%]) |
Worsening WHO score (259/974 [27%]) |
|||||
---|---|---|---|---|---|---|
Probability of endpoint | Times difference | p value | Probability of endpoint | Times difference | p value | |
Sex | ||||||
Women | 13·2% (12·6–13·7%) | .. | .. | 27·4% (27·1–27·6%) | .. | .. |
Men | 15·5% (14·9–15·9%) | 1·17 | 0·15 | 32·8% (32·5–33·0%) | 1·20 | 0·057 |
Age | ||||||
<55 years | 9·8% (9·1–10·4%) | .. | .. | 23·6% (23·3–23·9%) | .. | .. |
55–74 years | 12·1% (11·5–12·6%) | 1·23 | .. | 27·7% (27·4–27·9%) | 1·17 | .. |
≥75 years | 21·0% (20·3–21·6%) | 2·14 | <0·0001 | 38·9% (38·5–39·2%) | 1·64 | 0·0007 |
Entry WHO score | ||||||
1–3 | 10·8% (10·3–11·4%) | .. | .. | 35·0% (34·7–35·3%) | .. | .. |
4–5 | 17·7% (17·2–18·2%) | 1·64 | 0·0002 | 25·1% (24·9–25·3%) | 0·72 | 0·0019 |
Obesity | ||||||
Absent | 14·6% (14·3–15·0%) | .. | .. | 30·0% (29·9–30·2%) | .. | .. |
Present | 13·9% (13·2–14·5%) | 0·95 | 0·84 | 30·5% (29·7–30·4%) | 1·02 | 0·99 |
Comorbidities | ||||||
Absent | 13·4% (12·8–13·9%) | .. | .. | 26·6% (26·3–26·8%) | .. | .. |
Present | 15·1% (14·6–15·7%) | 1·13 | 0·27 | 33·3% (33·0–33·5%) | 1·25 | 0·029 |
COV50 score | ||||||
Less than threshold | 6·2% (5·8–6·6%) | .. | .. | 14·4% (14·2–14·7%) | .. | .. |
Threshold or more | 22·3% (21·7–23·0%) | 3·60 | <0·0001 | 42·7% (42·4–42·9%) | 2·97 | <0·0001 |
974 was the number of patients when patients with an entry WHO score of 6 were excluded. Data presented as probability, % (95% CI). The probabilities of reaching an endpoint were derived from logistic models, in which all risk factors were categorised and mutually adjusted. For each risk factor, the lowest risk category was the reference in computing the times difference with higher categories. Obesity was a BMI of at least 30 kg/m2. The COV50 threshold was 0·47 for mortality and 0·04 for worsening WHO score. For both endpoints, the number of events and patients at risk are given. The significance of each risk factor was derived from the multivariable logistic models.