Gunasekera Kenneth S, Vonasek Bryan, Oliwa Jacquie, Triasih Rina, Lancioni Christina, Graham Stephen M, Seddon James A, Marais Ben J
Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA.
Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53726, USA.
Pathogens. 2022 Mar 23;11(4):382. doi: 10.3390/pathogens11040382.
The management of childhood tuberculosis (TB) is hampered by the low sensitivity and limited accessibility of microbiological testing. Optimizing clinical approaches is therefore critical to close the persistent gaps in TB case detection and prevention necessary to realize the child mortality targets of the End TB Strategy. In this review, we provide practical guidance summarizing the evidence and guidelines describing the use of symptoms and signs in decision making for children being evaluated for either TB preventive treatment (TPT) or TB disease treatment in high-TB incidence settings. Among at-risk children being evaluated for TPT, a symptom screen may be used to differentiate children who require further investigation for TB disease before receiving TPT. For symptomatic children being investigated for TB disease, an algorithmic approach can inform which children should receive TB treatment, even in the absence of imaging or microbiological confirmation. Though clinical approaches have limitations in accuracy, they are readily available and can provide valuable guidance for decision making in resource-limited settings to increase treatment access. We discuss the trade-offs in using them to make TB treatment decisions.
儿童结核病的管理因微生物检测灵敏度低和可及性有限而受到阻碍。因此,优化临床方法对于弥合结核病病例检测和预防方面持续存在的差距至关重要,而这是实现《终止结核病战略》儿童死亡率目标所必需的。在本综述中,我们提供实用指南,总结在高结核病发病率环境中对接受结核病预防性治疗(TPT)或结核病疾病治疗评估的儿童进行决策时使用症状和体征的证据及指南。在接受TPT评估的高危儿童中,症状筛查可用于区分在接受TPT之前需要进一步调查是否患有结核病的儿童。对于正在接受结核病疾病调查的有症状儿童,即使在没有影像学或微生物学确诊的情况下,一种算法方法也可为哪些儿童应接受结核病治疗提供依据。尽管临床方法在准确性方面存在局限性,但它们随时可用,并且可以为资源有限环境中的决策提供有价值的指导,以增加治疗可及性。我们讨论了使用它们做出结核病治疗决策时的权衡。