Table 6.

Multiple Logistic Regression Model Predicting Tuberculosis Based on Data Available at a Second Visit Following Antibiotics in 207 Adults With HIV and a Positive Symptom Screen

	Adjusted Odds Ratio (95% CI)	Beta Coefficient, Log (Adjusted OR)
Symptom change
Improved	1	0
Not improved	3.24 (1.51–6.94)	1.17
CRP at visit 2a	1.07 (1.02–1.12)	0.07
No. of symptoms	1.46 (0.95–2.23)	0.38
Duration of symptoms
<14 d	1	0
≥14 d	2.18 (1.12–4.23)	0.78
ART status
<3 mo	1	0
>3 mo	0.50 (0.22–1.09)	–0.70

Number of symptoms was modeled linearly. Risk score = –2.81 + 1.17 (if symptoms not improved) + (0.007 × CRP at visit 2) + (0.38 × No. of symptoms) + 0.78 (if symptom duration ≥14 days) – 0.70 (if ART status >3 months).

Abbreviations: ART, antiretroviral therapy; CI, confidence interval; CRP, C-reactive protein; OR, odds ratio.

^aPer 10-unit increase.