Skip to main content
. 2022 Aug 22;14:95. doi: 10.1186/s13073-022-01076-0

Table 1.

Characteristics of MDR and pre-XDR/XDR cases with factors associated with pre-XDR/XDR-TB based on univariate and multivariate analysis

MDR Pre-XDR/XDR Univariate analysis Multivariate logistic regression
n % n % OR 95% lower 95% upper P-value Adjusted OR 95% lower 95% upper Adjusted P-value
Total 268 100% 748 100%
Gender
 M 114 43% 320 43% 1.00 0.75 1.35 1
 F 153 57% 428 57%
 Unknown 1 0% 0 0%
Age
  < 18 37 14% 93 12% 0.89 0.58 1.38 0.59
 18–40 168 63% 489 65% 1.12 0.83 1.52 0.46
 40–60 45 17% 138 18% 1.12 0.77 1.66 0.58
  > 60 17 6% 29 4% 0.6 0.31 1.18 0.12
 Unknown 1 0% 0 0%
Lineage
 Lineage 1 (EAI) 37 14% 13 2% 0.11 0.05 0.22  < 0.001 0.19 0.09 0.41  < 0.001
 Lineage 2 (Beijing) 121 45% 592 79% 4.60 3.38 6.28  < 0.001 2.09 1.26 3.45  < 0.01
 Lineage 3 (Delhi-CAS) 70 26% 69 9% 0.29 0.20 0.42  < 0.001 0.54 0.32 0.89 0.02
 Lineage 4 (Euro-American) 40 15% 74 10% 0.63 0.41 0.97 0.03
M. bovis 0 0% 0 0%
Clustering
 Yes 155 58% 591 79% 2.74 2.01 3.74  < 0.001 0.92 0.62 1.35 0.66
 No 113 42% 157 21%
Cluster
 Cluster 1 44 16% 213 28% 2.03 1.40 2.98  < 0.001 1.19 0.74 1.91 0.46
 Cluster 2 12 4% 115 15% 3.87 2.09 7.85  < 0.001 2.36 1.19 4.69 0.01
 Cluster 3 16 6% 71 9% 1.65 0.93 3.10 0.09 1.09 0.58 2.08 0.79