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时间对耐多药结核病患者二线抗结核治疗不良结局及其预测因素的影响:一项在埃塞俄比亚阿姆哈拉地区的回顾性队列研究。

Time to poor treatment outcome and its predictors among drug-resistant tuberculosis patients on second-line anti-tuberculosis treatment in Amhara region, Ethiopia: retrospective cohort study.

机构信息

Department of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia.

Department of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.

出版信息

BMC Public Health. 2019 Nov 8;19(1):1481. doi: 10.1186/s12889-019-7838-2.

Abstract

BACKGROUND

Treatment of drug-resistant tuberculosis is often more complex and toxic with longer treatment time and poor treatment outcomes including treatment failure or death. Monitoring drug-resistant tuberculosis therapy including early identification of prognostic factors and close monitoring of body weight in resource-limited settings is crucial to ensure successful treatment. Therefore, this study was conducted to assess time to poor treatment outcome which is defined as the proportion of all patients who died or failed treatment and its predictors among drug-resistant tuberculosis patients on second-line anti-tuberculosis treatment in Amhara region, Ethiopia.

METHODS

A retrospective cohort study was conducted on all patients who started drug-resistant tuberculosis therapy from September 1, 2010 through December 31, 2017, at the University of Gondar Comprehensive Specialized Hospital, Boru-Meda Hospital, and Debre-Markos Referral Hospital in Amhara Region, Ethiopia. Data were entered using Epi-data Version 3.1 and analyzed using R version 3.41 software. The survival time was estimated using Kaplan-Meier survival curve and the survival time between different categorical variables were compared using the log rank test. Event time ratio with 95% confidence interval (CI) and p-value less than 0.05 were used to measure the strength of association and to declare statistically significant predictors respectively.

RESULTS

A total of 508 patients with a median age of 28.5 [IQR: 22-40] years were included in this study. The overall cumulative survival probability of patients at the end of 24 months was 79% [95% CI,75,84%]. Rate of body weight change [Adjusted time ratio (ATR) = 5; 95% CI: 3.2, 7.7], secondary and above level of education [ATR = 2.3;95% CI:1.2,2.9], being non-anemic [ATR = 2.8,95% CI:1.2,3.8], being non-diabetic [ATR = 3.4;95% CI:1.3,8.8], without clinical complications [ATR = 7.6;95% CI:4.2,13.9], HIV negative [ATR = 1. 94:95% CI:1.35,2.35] and residing in rural [ATR = 0.51,95% CI:0.30,0.86] were predictors of time to poor treatment outcomes.

CONCLUSION

The survival rate of tuberculosis patients was higher at end of follow up relative to other studies. However, poor treatment outcome was higher in early phase of therapy. Educational level, rural residence, HIV/AIDS, diabetes mellitus, previous treatment, clinical complication, rate of body weight change and smoking history were significant predictors of time to poor treatment outcome. Therefore, intervention programs should focus on the identified factors to improve survival time of drug-resistant tuberculosis patients.

摘要

背景

耐药结核病的治疗往往更加复杂和有毒,治疗时间更长,治疗结果较差,包括治疗失败或死亡。在资源有限的情况下,监测耐药结核病的治疗情况,包括早期识别预后因素和密切监测体重,对于确保治疗成功至关重要。因此,本研究旨在评估治疗不良结局的时间,该结局定义为所有死亡或治疗失败患者的比例,并评估其在埃塞俄比亚阿姆哈拉地区二线抗结核治疗的耐药结核病患者中的预测因素。

方法

对 2010 年 9 月 1 日至 2017 年 12 月 31 日在埃塞俄比亚贡德尔综合专科医院、博鲁-梅达医院和德布雷马克罗斯转诊医院开始耐药结核病治疗的所有患者进行了回顾性队列研究。数据使用 Epi-data 版本 3.1 输入,使用 R 版本 3.41 软件进行分析。使用 Kaplan-Meier 生存曲线估计生存时间,并使用对数秩检验比较不同分类变量之间的生存时间。使用事件时间比值(95%置信区间(CI)和 p 值<0.05)来衡量关联的强度,并宣布具有统计学意义的预测因素。

结果

共有 508 名中位年龄为 28.5 岁(IQR:22-40)的患者纳入本研究。在 24 个月结束时,患者的总体累积生存概率为 79%[95%CI,75%,84%]。体重变化率[校正时间比(ATR)=5;95%CI:3.2,7.7]、中学及以上学历[ATR=2.3;95%CI:1.2,2.9]、非贫血[ATR=2.8;95%CI:1.2,3.8]、非糖尿病[ATR=3.4;95%CI:1.3,8.8]、无临床并发症[ATR=7.6;95%CI:4.2,13.9]、HIV 阴性[ATR=1.94;95%CI:1.35,2.35]和居住在农村[ATR=0.51;95%CI:0.30,0.86]是治疗不良结局时间的预测因素。

结论

与其他研究相比,随访结束时结核病患者的生存率较高。然而,治疗早期治疗不良结局的比例较高。教育程度、农村居住、HIV/AIDS、糖尿病、既往治疗、临床并发症、体重变化率和吸烟史是治疗不良结局时间的显著预测因素。因此,干预计划应重点关注这些因素,以提高耐药结核病患者的生存时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1a3/6839158/0d5f3e483fd0/12889_2019_7838_Fig1_HTML.jpg

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