2016-2019年津巴布韦布拉瓦约省结核病死亡的二级数据分析

T. Moyo, E. Sibanda, N. Gombe, T. Juru, Emmanuel Govha, Maurice Omondi, A. Chadambuka, M. Tshimanga
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引用次数: 0

摘要

背景:结核病是全球的主要死因,也是津巴布韦的第三大死因。诊断为结核病后任何原因导致的死亡都被归类为结核病死亡。布拉瓦约省报告的结核病死亡率很高,从2016年的15.3%上升到2019年的14.2%,而阈值为5%。我们分析了布拉瓦约省的结核病死亡情况,以确定死亡患者的特征,并为改善易感结核病病例的治疗结果提出建议。方法:采用描述性横断面研究。我们分析了2016年1月1日至2019年12月31日布拉瓦约19个结核病诊断中心的所有结核病死亡记录(N = 469)。使用Microsoft®Excel 2007生成图形,使用Stata®version 17对趋势进行卡方检验。结果:男性占278/469例(59.3%)。中位死亡年龄为40岁(q1 = 33岁:q3 = 51岁)。男性结核病死亡比例从2016年的63/114(55%)上升至2019年的57/90 (63%)(p < 0.01)。大多数死亡(278/469)(59.3%)发生在强化治疗阶段,只有44/469(9.4%)的结核病死亡伴有贫血。贫血的检测不是常规的。结论:高死亡率,尤其是重症期,可能是临床护理不佳所致。结核病规划应努力为结核病患者采用差异化护理模式,并为死亡风险高的患者开发算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secondary Data Analysis of Tuberculosis Deaths in Bulawayo Province, Zimbabwe, 2016-2019
Background: Tuberculosis is a leading cause of death globally, and the third leading cause of death in Zimbabwe. Death from any cause following a diagnosis of tuberculosis is classified as a tuberculosis death. Bulawayo Province reported high tuberculosis death rates from 15.3% in 2016 to 14.2% in 2019 against a threshold of 5%. We analyzed tuberculosis deaths for Bulawayo Province to characterize patients dying and to make recommendations for improving treatment outcomes for susceptible tuberculosis cases. Methods: A descriptive cross-sectional study was conducted. We analyzed all (N = 469) records of tuberculosis deaths from 19/19 Bulawayo tuberculosis diagnosing centers from 01 January 2016 to 31 December 2019. Microsoft ® Excel 2007 was used to generate graphs and Stata ® version 17 was used to conduct chi-square tests for trends. Results: Males accounted for 278/469 (59.3%) of the deaths. The median age of death was 40 years (Q 1 = 33: Q 3 = 51). The proportion of TB deaths increased from 63/114 (55%) in 2016 to 57/90 (63%) in 2019 for males (p < 0.01). The majority of deaths 278/469 (59.3%) occurred in the intensive phase of treatment and anemia was a co-morbid condition in only 44/469 (9.4%) of the tuberculosis deaths. Testing for anemia was not routinely done. Conclusion: High death rates particularly in the intensive phase, could be attributed to sub-optimal clinical care. Tuberculosis programs should work towards adopting differentiated care models for tuberculosis patients and developing algorithms for patients at high risk of death.
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