Table 4. Effect of baseline body composition on HIV disease progression outcomes in HIV+ adults in Botswana during a follow-up period of 18 months^† (Hazard ratios and 95% confidence intervals).

Outcome	Continuous BMI			BMI >25 kg/m2			Continuous fat mass (%)
	HR	95% CI	P	HR	95% CI	P	HR	95% CI	P
≥25 % Decline in CD4 cell count	0.963	0.919, 1.009	0.113	0.744	0.489, 1.131	0.166	0.974	0.945, 1.003	0.083
CD4 cell count ≤250/μl	1.043	0.932, 1.167	0.462	1.021	0.381, 2.740	0.966	0.984	0.909, 1.065	0.793
AIDS defining conditions	0.218	0.068, 0.701	0.011*‡	0.500	0.047, 4.465	0.500	0.855	0.741, 0.987	0.033*
CD4 cell count ≤250/μl and AIDS defining conditions	0.904	0.796, 1.028	0.124	1.089	0.453, 2.619	0.849	0.918	0.847, 0.994	0.036*

CD4, cluster of differentiation 4; CD8, cluster of differentiation 8.

^*Statistically significant (P<0-05).

^†Cox proportional hazards model were used to examine the effect of baseline continuous BMI, the effect of BMI groups (0 = BMI 18.0–24.9 kg/m² and 1 = BMI ≥25 kg/m²), and baseline continuous fat mass % on individual HIV disease progression outcomes. All individual HIV disease progression outcomes were analysed as separate models and adjusted for age, sex, marriage, children and baseline CD4 count and viral load.

^‡Model adjusted for age, sex, children and baseline CD4 cell count and viral load.