| Literature DB >> 33327347 |
Qingchun Li1, Min Lu1, Evelyn Hsieh2, Limin Wu1, Yifei Wu1, Meng Wang1, Le Wang1, Gang Zhao1, Li Xie1, Han-Zhu Qian3,4.
Abstract
The objective is to investigate the time to initial sputum culture conversion (SCC) and its predictors among multidrug-resistant tuberculosis (MDR-TB) patients in Hangzhou, China.A retrospective cohort study was conducted among patients who initiated MDR-TB treatment from 2011 to 2015 in Hangzhou, China. Successful achievement of initial SCC was defined as 2 consecutive negative cultures taken at least 30 days apart after initiation of treatment of MDR-TB. Successful treatment outcomes included being cured and completing treatment, while poor treatment outcomes included treatment failure, loss to follow-up, and death. Time to initial SCC was analyzed using the Kaplan-Meier method, and Cox proportional hazards regression was used to identify predictors of SCC.Among 384 patients enrolled with MDR-TB, 359 (93.5%) successfully achieved initial SCC after a median of 85 days (interquartile range, 40-112 days). A higher rate of SCC was observed in participants with successful treatment outcomes than those with poor treatment outcomes (P<.01). Multivariate analysis showed that age 25 to 64 years (compared with age<25; adjusted odds ratio [AOR], 0.7; 95% confidence interval [CI], 0.5-0.9; P < .01), age ≥65 years (compared with age < 25; AOR, 0.5; 95% CI, 0.3-0.8; P < .01), and household registration in Hangzhou (compared with non-Hangzhou registration; AOR, 1.3; 95% CI, 1.0-1.5; P < .05) were found to be associated with SCC.Although high SCC and treatment success rates were observed among MDR-TB patients in Hangzhou, the prolonged duration to initial SCC underscores the importance of emphasizing measures for infection control. A new policy of shifting outpatient treatment to inpatient treatment in China may reduce the risk of transmission from patients in the time window prior to SCC.Entities:
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Year: 2020 PMID: 33327347 PMCID: PMC7738096 DOI: 10.1097/MD.0000000000023649
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Demographic and clinical characteristics of study participants.
| Treatment outcomes | |||||
| Variables | N (%) | Successful, N (%) | Poor, N (%) | χ2 | |
| Total | 384 | 296 (77.1) | 88 (22.9) | ||
| Gender | 5.36 | <.05 | |||
| Male | 272 (70.8) | 201 (67.9) | 71 (80.7) | ||
| Female | 112 (29.2) | 95 (32.1) | 17 (19.3) | ||
| Age, y | 14.4 | <.05 | |||
| <25 | 58 (15.1) | 55 (18.6) | 3 (3.4) | ||
| 25≤age<65 | 293 (76.3) | 220 (74.3) | 73 (83.0) | ||
| Age>65 | 33 (8.6) | 21 (7.1) | 12 (13.6) | ||
| Ethnic | 0.14 | .99 | |||
| Han | 378 (98.4) | 291 (98.3) | 87 (98.9) | ||
| Other | 6 (1.6) | 5 (1.7) | 1 (1.1) | ||
| Occupation | 7.83 | <.05 | |||
| Other | 101 (26.3) | 88 (29.7) | 13 (14.8) | ||
| Farmer/worker/migrant worker | 283 (73.7) | 208 (70.3) | 75 (85.2) | ||
| Residence | 6.48 | <.05 | |||
| Rural | 160 (41.7) | 113 (38.2) | 47 (53.4) | ||
| Urban | 224 (58.3) | 183 (61.8) | 41 (46.6) | ||
| Household registration in Hangzhou | 0.52 | .47 | |||
| No | 214 (55.7) | 162 (54.7) | 52 (59.1) | ||
| Yes | 170 (44.3) | 134 (45.3) | 36 (40.9) | ||
| Resistance to ethambutol | 0.29 | .59 | |||
| No | 219 (57) | 171 (57.8) | 48 (54.6) | ||
| Yes | 165 (43) | 125 (42.2) | 40 (45.5) | ||
| Resistance to streptomycin | 0.11 | .74 | |||
| No | 147 (38.3) | 112 (37.8) | 35 (39.8) | ||
| Yes | 237 (61.7) | 184 (62.2) | 53 (60.2) | ||
| Resistance to ofloxacin | 0.16 | .69 | |||
| No | 354 (92.2) | 272 (91.9) | 82 (93.2) | ||
| Yes | 30 (7.8) | 24 (8.1) | 6 (6.8) | ||
| Resistance to kanamycin | 0.01 | .99 | |||
| No | 375 (97.7) | 289 (97.6) | 86 (97.7) | ||
| Yes | 9 (2.3) | 7 (2.4) | 2 (2.3) | ||
| Number of resistant drugs | 0.18 | .67 | |||
| 2 | 98 (25.5) | 74 (25.0) | 24 (27.3) | ||
| >2 | 286 (74.5) | 222 (75.0) | 64 (72.7) | ||
| Previous TB treatment history | 2.81 | .09 | |||
| No | 29 (7.6) | 26 (8.8) | 3 (3.4) | ||
| Yes | 355 (92.4) | 270 (91.2) | 85 (96.6) | ||
Figure 1Survival curve during the first 12 months of treatment.
Concordance of SCC and treatment outcomes.
| Treatment outcome | ||||
| SCC | Successful, N (%) | Poor, N (%) | χ2 | |
| Yes | 295 (99.7) | 64 (72.7) | 80.9 | <.001 |
| No | 1 (0.3) | 24 (27.3) | ||
Figure 2Time to initial SCC between groups with different treatment outcomes. SCC = sputum culture conversion.
Univariate analysis of predictors of SCC among MDR-TB patients in Hangzhou, China.
| Variable | N | Sputum culture conversion (%) | HR (95% CI) | |
| Residence | ||||
| Rural | 160 | 143 (89.4) | ||
| Urban | 224 | 216 (96.4) | 1.0 (0.8,1.2) | .97 |
| Household registration in Hangzhou | ||||
| No | 214 | 199 (93.0) | ||
| Yes | 170 | 160 (94.1) | 1.2 (1.0,1.5) | .09 |
| Gender | ||||
| Male | 272 | 252 (92.6) | ||
| Female | 112 | 107 (95.5) | 1.0 (0.8,1.3) | .71 |
| Age, y | ||||
| <25 | 58 | 58 (100.0) | ||
| 25–64 | 293 | 273 (93.2) | 0.7 (0.5,0.9) | <.01 |
| ≥65 | 33 | 28 (84.8) | 0.5 (0.3,0.8) | <.01 |
| Ethnicity | ||||
| Han | 378 | 354 (93.7) | ||
| Other | 6 | 5 (83.3) | 1.1 (0.5,2.7) | .83 |
| Occupation | ||||
| Other | 101 | 100 (99.0) | ||
| Farmer/worker/migrant worker | 283 | 259 (91.5) | 0.8 (0.6,1.0) | .03 |
| Previous TB treatment | ||||
| No | 29 | 27 (93.1) | ||
| Yes | 355 | 332 (93.5) | 1.0 (0.7,1.5) | .85 |
| Number of resistant drugs | ||||
| 2 | 98 | 95 (96.9) | ||
| >2 | 286 | 264 (92.3) | 0.9 (0.7,1.2) | .44 |
| Resistance to ethambutol | ||||
| No | 219 | 209 (95.4) | ||
| Yes | 165 | 150 (90.9) | 0.9 (0.7,1.1) | .29 |
| Resistance to streptomycin | ||||
| No | 147 | 139 (94.6) | ||
| Yes | 237 | 220 (92.8) | 0.9 (0.8,1.2) | .51 |
| Resistance to ofloxacin | ||||
| No | 354 | 332 (93.8) | ||
| Yes | 30 | 27 (90.0) | 0.8 (0.5,1.2) | .32 |
| Resistance to kanamycin | ||||
| No | 375 | 350 (93.3) | ||
| Yes | 9 | 9 (100.0) | 1.1 (0.6,2.1) | .85 |
CI = confidence interval, HR = hazard ratio.
Cox regression analysis of predictors of SCC among MDR-TB patients in Hangzhou, China.
| Variable | AHR (95% CI) | |
| Household registration in Hangzhou | ||
| No | 1.0 | |
| Yes | 1.3 (1.0,1.5) | <.05 |
| Age, y | ||
| <25 | 1.0 | |
| 25–64 | 0.7 (0.5,0.9) | <.01 |
| ≥65 | 0.5 (0.3,0.8) | <.01 |
AHR = adjusted hazard ratio, CI = confidence interval.