| Literature DB >> 33953577 |
Asnake Balche Bade1, Teshale Ayele Mega2, Getandale Zeleke Negera3.
Abstract
BACKGROUND: Clinicians use sputum culture conversion as an interim indicator of the efficacy of multi-drug resistant tuberculosis (MDR-TB) treatment and to determine treatment duration. Yet, limited studies have been published in Ethiopia.Entities:
Keywords: Ethiopia; MDR-TB; culture conversion; predictors
Year: 2021 PMID: 33953577 PMCID: PMC8089472 DOI: 10.2147/IDR.S293461
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Figure 1Flow chart for recruitment of patients treated for MDR-TB treatment, April 14 to May 14, 2019.
Socio-Demographic Characteristics of the Patients Stratified by the Status of Delayed Culture Conversion Time from April 14 to May 14, 2019
| Variables | Number of Patients (n) | Delayed Culture Conversion | P-value | |
|---|---|---|---|---|
| Yes (n=15) | No (n=185) | |||
| Male | 108 (54%) | 8 (53.3%) | 100 (54%) | 0.957 |
| Female | 92 (46%) | 7 (46.7%) | 85 (46%) | |
| Primary | 59 (29.5%) | 5 (33.3%) | 54 (29%) | 0.179 |
| Secondary | 74 (37%) | 7 (46.7%) | 67 (36%) | |
| College | 67 (33.5%) | 3 (20%) | 64 (35%) | |
| Urban | 89 (44.5) | 7 (46.7) | 82 (44.3%) | 0.861 |
| Rural | 111 (55.5%) | 8 (53.3%) | 103 (55.7%) | |
| Yes | 10 (5%) | 2 (13.3%) | 8 (4.3%) | 0.124 |
| No | 190 (95%) | 13 (86.7%) | 177 (95.7%) | |
| Yes | 28 (14%) | 1 (6.7%) | 27 (14.6%) | 0.395 |
| No | 172 (86%) | 14 (93.3%) | 158 (85.4%) | |
| Single | 88 (44%) | 5 (33.3%) | 82 (44.6%) | 0.791 |
| Married | 99 (49.5%) | 9 (60%) | 91 (49%) | |
| Divorce | 10 (5%) | 1 (6.7%) | 9 (4.8%) | |
| Widowed | 3 (1.5%) | 0 (0%) | 3 (1.6%) | |
Clinical Characteristics of the Patients Stratified by Delayed Culture Conversion Time from April 14 to May 14, 2019
| Variables | Number of Patients (n=200) | Delayed Culture Conversion | P-value | |
|---|---|---|---|---|
| Yes (n=15) | No (n=185) | |||
| Pulmonary | 187 (93.5%) | 13 (86.7%) | 174 (94%) | 0.264 |
| Extra-pulmonary | 13 (6.5%) | 2 (3.3%) | 11 (6%) | |
| <18.5 | 55 (27.5%) | 11 (73.3%) | 44 (23.8%) | P<0.01 |
| >18.5 | 145 (72.5%) | 4 (26.7%) | 141 (76.2%) | |
| New | 22 (11%) | 0 (0%) | 22 (11.9%) | P<0.01 |
| Previously treated | 156 (78%) | 2 (13.3%) | 154 (83%) | |
| After loss to follow-up | 9 (4.5%) | 8 (53.3%) | 1 (0.8%) | |
| After treatment failure | 13 (6.5%) | 5 (33.3%) | 8 (4.3%) | |
| Yes | 56 (28%) | 9 (60%) | 47 (25.4%) | 0.004 |
| No | 144 (72%) | 6 (40%) | 138 (74.6%) | |
| Yes | 44 (22%) | 7 (46.7%) | 37 (20%) | 0.016 |
| No | 156 (78%) | 8 (53.3%) | 148 (80%) | |
| Yes | 7 (3.5%) | 1 (6.7%) | 6 (3.2%) | 0.488 |
| No | 193 (96.5%) | 14 (93.3%) | 179 (96.8%) | |
| Yes | 9 (4.5%) | 1 (6.7%) | 8 (4.3%) | 0.674 |
| No | 191 (95.5%) | 14 (93.3%) | 177 (95.7%) | |
| Good | 173 (86.5%) | 5 (33.3%) | 168 (90.8%) | P<0.01 |
| Fair | 20 (10%) | 8 (53.3%) | 12 (6.5%) | |
| Poor | 7 (3.5%) | 2 (13.4%) | 5 (2.7%) | |
| Yes | 196 (98%) | 14 (93.3%) | 182 (98.4%) | 0.179 |
| No | 4 (2%) | 1 (6.7%) | 3 (1.6%) | |
| Yes | 16 (8%) | 2 (13.3%) | 14 (7.5%) | 0.429 |
| No | 184 (92%) | 13 (86.7%) | 171 (92.5%) | |
Abbreviations: BMI, body mass index; HIV, human immunodeficiency virus; Vit, vitamin.
Figure 2Survival estimates of delayed culture conversion among MDR-TB treated patients January, 2013 to May, 2019.
Crude and Adjusted Cox-Proportional Hazard Regression for Predictors of Delayed Culture Conversion of the Cohort, from April 14 to May 14, 2019
| Variables | CHR [95% CI] | P-value | AHR [95% CI] | P-value |
|---|---|---|---|---|
| Single | 1.172[0.370, 3.714] | 0.787 | 1.022[0.296, 3.534] | 0.973 |
| Married | 0.848[0.268, 2.881] | 0.778 | 0.902[0.265, 3.074] | 0.869 |
| Divorce | 0.609[0.165, 2.255] | 0.458 | 0.872[0.229, 3.324] | 0.841 |
| Widowed | 1.00 | 1.00 | ||
| Yes | 0.451[0.319, 0.638] | p<0.001 | 0.739[0.245, 2.225] | 0.591 |
| No | 1.00 | 1.00 | ||
| Yes | 0.509[0.352, 0.736] | p<0.001 | 0.696[0.245, 1.979] | 0.497 |
| No | 1.00 | 1.00 | ||
| Yes | 0.499[0.244, 1.021] | 0.057 | 0.680[0.238, 1.940] | 0.470 |
| No | 1.00 | |||
| Good | 1.00 | 1.00 | ||
| Fair | 3.004[1.228, 7.352] | 0.016 | 1.985[0.717, 5.497] | 0.187 |
| Poor | 0.848[0.299, 2.409] | 0.757 | 0.994[0.325, 3.044] | 0.992 |
| Yes | 1.00 | 0.103 | 1.00 | 0.769 |
| No | 2.595[0.826, 8.154] | 1.220[0.324, 4.586] | ||
| Yes | 0.668[0.387, 1.154] | 0.148 | 1.220 (0.324, 4.586) | 0.769 |
| No | 1.00 | 1.00 | ||
| <18.5 | 0.761[0.641, 0.903] | 0.002 | 1.257 [1.125, 1.547] | 0.046 |
| >18.5 | 1.00 | 1.00 | ||
| Low HGB | 0.743[0.494, 1.116] | 0.152 | 0.820[0.324, 2.075] | 0.676 |
| Normal HGB | 1.00 | 1.00 | ||
| New | 1.00 | – | 1.00 | – |
| Previously treated | 7.031[3.980, 71.889] | p<0.001 | 4.007[3.115, 62.990] | 0.001 |
| After loss to follow-up | 18.210[4.475, 74.099] | p<0.001 | 16.215[3.839, 68.498] | P<0.001 |
| After treatment failure | 12.891[2.776, 59.866] | 0.001 | 12.161[2.516, 58.793] | 0.002 |
Abbreviations: BMI, body mass index; DM, diabetes mellitus; Hgb, haemoglobin; Vit, Vitamin.