Department of Internal Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
BMC Public Health. 2009 Nov 12;9:409. doi: 10.1186/1471-2458-9-409.
HIV has fuelled the TB epidemic in sub-Saharan Africa. Mortality in patients co-infected with TB and HIV is high. Managing factors influencing mortality in TB patients might help reducing it. This study investigates factors associated with mortality including patients' HIV sero-status, CD4 cell count, laboratory, nutritional and demographic characteristics in AFB smear positive pulmonary TB patients.
We studied 887 sputum smear positive PTB patients, between 18 and 65 years of age receiving standard 8 months anti-TB treatment. Demographic, anthropometric and laboratory data including HIV, CD4 and other tests were collected at baseline and at regular intervals. Patients were followed for a median period of 2.5 years.
Of the 887 participants, 155 (17.5%) died, of whom 90.3% (140/155) were HIV-infected, a fatality of 29.7% (140/471) compared to 3.6% (15/416) among HIV-uninfected. HIV infection, age, low Karnofsky score, CD4 cell counts and hemoglobin, high viral load, and oral thrush were significantly associated with high mortality in all patients.
Mortality among HIV-infected TB patients is high despite the use of effective anti-TB therapy. Most deaths occur after successful completion of therapy, an indication that patients die from causes other than TB. HIV infection is the strongest independent predictor of mortality in this cohort.
HIV 在撒哈拉以南非洲助长了结核病流行。同时感染结核分枝杆菌和 HIV 的患者的死亡率很高。管理影响结核病患者死亡率的因素可能有助于降低死亡率。本研究调查了与死亡率相关的因素,包括患者的 HIV 血清状态、CD4 细胞计数、实验室、营养和人口统计学特征,这些因素在 AFB 涂片阳性肺结核患者中进行了研究。
我们研究了 887 例年龄在 18 至 65 岁之间接受标准 8 个月抗结核治疗的痰涂片阳性肺结核患者。在基线和定期收集人口统计学、人体测量学和实验室数据,包括 HIV、CD4 和其他测试。患者的中位随访时间为 2.5 年。
在 887 名参与者中,有 155 人(17.5%)死亡,其中 90.3%(140/155)为 HIV 感染,死亡率为 29.7%(140/471),而 HIV 未感染者为 3.6%(15/416)。HIV 感染、年龄、低卡诺夫斯基评分、CD4 细胞计数和血红蛋白、高病毒载量和口腔鹅口疮与所有患者的高死亡率显著相关。
尽管使用了有效的抗结核治疗,HIV 感染结核病患者的死亡率仍然很高。大多数死亡发生在成功完成治疗后,这表明患者死于结核病以外的原因。在本队列中,HIV 感染是死亡率的最强独立预测因素。