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首页> 外文期刊>Conflict and Health >Improving pediatric TB diagnosis in North Kivu (DR Congo), focusing on a clinical algorithm including targeted Xpert MTB/RIF on gastric aspirates
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Improving pediatric TB diagnosis in North Kivu (DR Congo), focusing on a clinical algorithm including targeted Xpert MTB/RIF on gastric aspirates

机译:改善北基伍(刚果博士)的儿科结核病诊断,重点介绍胃吸出物体的临床算法,包括靶向XPERT MTB / RIF的临床算法

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Background:The incidence of tuberculosis (TB) in the Democratic Republic of the Congo (DRC) is 323/100,000. A context of civil conflict, internally displaced people and mining activities suggests a higher regional TB incidence in North Kivu. Médecins Sans Frontières (MSF) supports the General Reference Hospital of Masisi, North Kivu, covering a population of 520,000, with an elevated rate of pediatric malnutrition. In July 2017, an adapted MSF pediatric TB diagnostic algorithm, including Xpert MTB/RIF on gastric aspirates (GAs), was implemented. The aim of this study was to evaluate whether the introduction of this clinical pediatric TB diagnostic algorithm influenced the number of children started on TB treatment.Methods:We performed a retrospective analysis of pediatric TB cases started on treatment in the inpatient therapeutic feeding centre (ITFC) and the pediatric ward. We compared data collected in the second half (July to December) of 2016 (before introduction of the new diagnostic algorithm) and the second half of 2017. For the outcome variables the difference between the two years was calculated by a Pearson Chi-square test.Results:In 2017, 94 GAs were performed, compared to none in 2016. Twelve percent (11/94) of samples were Xpert MTB/RIF positive. Sixty-eight children (2.9% of total exits) aged between 3?months and 15?years started TB treatment in 2017, compared to 19 (1.4% of total exits) in 2016 (p 0.002). The largest increase in pediatric TB diagnoses in 2017 occurred in patients with a negative Xpert MTB/RIF result, but clinically highly suggestive of TB according to the newly introduced diagnostic algorithm. Fifty-two (3.1%) children under five years old started treatment in 2017, as compared to 14 (1.3%) in 2016 (p 0.004). The increase was less pronounced and not statistically significant in older patients: sixteen children (2.6%) above 5?years old started TB treatment in 2017 as compared to five (1.3%) in 2016 (p 0.17).Conclusion:After the introduction of an adapted clinical pediatric TB diagnostic algorithm, including Xpert MTB/RIF on gastric aspirates, we observed a significant increase in the number of children - especially under 5?years old - started on TB treatment, mostly on clinical grounds. Increased 'clinician awareness' of pediatric TB likely played an important role.? The Author(s) 2020.
机译:背景:刚果民主共和国(DRC)中结核病(TB)的发病率为323 / 100,000。民间冲突的背景,国内流离失所者和采矿活动表明北基·基普州较高的区域结核病发病率。 MédecinsSansFrontières(MSF)支持Masisi,北Kivu的一般参考医院,占据52万次人口,小儿营养不良率升高。 2017年7月,实施了一种适应的MSF儿科结核病诊断算法,包括胃吸吸出(气体)Xpert MTB / RIF(气体)。本研究的目的是评估该临床儿科结核病诊断算法的引入是否影响了TB治疗的儿童的数量。方法:我们对儿科TB病例进行了回顾性分析,在本体治疗饲养中心开始治疗(ITFC )和儿科病房。我们比较了2016年下半年(7月至12月)收集的数据(在引入新诊断算法之前)和2017年下半年。对于结果变量,两年之间的差异由Pearson Chi-Square测试计算。结果:2017年,进行了94个天然气,与2016年无比.12%(11/94)样品为Xpert MTB / RIF阳性。六十八个儿童(占总出境的2.9%)在3?几个月和15岁之间开始于2017年的结核病治疗,而2016年的19(占总出境的1.4%)(p 0.002)。 2017年儿科TB诊断的最大增幅发生在阴性XPERT MTB / RIF结果的患者中,但根据新引入的诊断算法,TB的临床高度暗示。五十二(3.1%)五岁以下的儿童在2017年开始待遇,而2016年的14(1.3%)(p 0.004)。年龄较大的患者的增加不太明显,没有统计学意义:十六名儿童(2.6%)以上5?岁月开始于2017年的TB治疗,而2016年的五(1.3%)(P 0.17)。结论:介绍后一种适应的临床小儿TB诊断算法,包括Xpert MTB / RIF在胃吸出物上,我们观察到儿童人数的显着增加 - 特别是在5岁以下 - 岁月 - 开始于TB治疗,主要是临床理由。增加儿科结核病的“临床医生意识”可能发挥了重要作用。作者2020年。

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