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Table 8 Multivariable regression analysis using variables found significant in univariate analysis. The β-coefficient represents the change in percentage area affected for every 1 unit rise in variables for albumin, BMI, number of grade 3/4 symptoms. and age. For log10TTP, this represents the change in percentage area affected for a 10-fold increase in TTP. For ethnicity, HIV, and diabetes this indicates the percentage difference in area affected between the two groups (for example, compared to the African cohort, Asians had 0.67% less area affected on the CXR than the African cohort)

From: Pretreatment chest x-ray severity and its relation to bacterial burden in smear positive pulmonary tuberculosis

  With cavity Without cavity
β-coefficient 95% CI p value β-coefficient 95% CI p value
Log10TTP (hours) −4.72 (−8.73, 0.72) 0.02    
Albumin (g/L) −0.65 (−0.76, −0.53) < 0.001 −0.48 (− 0.64, − 0.32) < 0.001
Grade 3 + Symptoms 0.05 (−1.68, 1.79) 0.95 3.13 (0.11, 6.15) 0.04
Body mass index −0.50 (−0.72, − 0.27) < 0.001 −0.07 (− 0.33, 0.19) 0.63
Ethnicity
 Asia vs. Africa −0.67 (−2.33, 0.98) 0.43 −0.90 (−2.80, 1.00) 0.35
Age 0.05 (−0.01, 0.11) 0.13    
HIV
 Positive vs. Negative 0.54 (−2.09, 3.17) 0.69    
Diabetes
 Positive vs. Negative 3.03 (−0.33, 6.40) 0.07