儿童结核病治疗决策算法:世界卫生组织算法的评估和印度尼西亚算法的开发
Rina Triasih1, Finny Fitry Yani2, Diah Asri Wulandari3
1Department of Child Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada/Dr. Sardjito Hospital, Yogyakarta 55281, Indonesia.
Tropical medicine and infectious disease
|April 25, 2025
概括
在印度尼西亚评估儿童结核病 (TB) 诊断算法揭示了实施挑战. 制定了一项新的指导方针,但由于诊断测试的访问和各种临床表现,其普遍适用性仍然有限.
科学领域:
- 儿科 儿科 儿科
- 传染性疾病 传染性疾病
- 公共卫生 公共卫生
背景情况:
- 临床算法对于指导儿童结核病 (TB) 治疗启动至关重要.
- 现有的印尼诊断算法需要与世界卫生组织算法等全球标准进行评估.
- 诊断能力和临床表现的变化会影响算法实施.
研究的目的:
- 评估印尼儿科结核病诊断算法与2022年世卫组织治疗决策算法之间的协议.
- 根据专家的共识和研究结果,开发一种新的,改进的印度尼西亚儿童结核病诊断算法.
- 确定实施算法方法用于儿科结核病诊断的挑战和局限性.
主要方法:
- 这是一项回顾性研究,涉及523名儿童 (0-10岁) 在2022年期间在印尼10家医院被诊断患有结核病.
- 专家小组使用2022年世卫组织和2016年印度尼西亚算法进行诊断,与临床医生诊断进行比较.
- 使用科恩的卡帕统计学评估诊断协议.
主要成果:
- 临床医生在70.9%的病例中诊断出结核病,世卫组织算法在56.4%,印度尼西亚算法在47%.
- 科恩的卡帕值表明差到中等的协议:主治医生与世卫组织 (0.27),主治医生与印度尼西亚 (0.45),世卫组织与印度尼西亚 (0.42).
- 鉴定出了两个评估算法的实际实施面临的重大挑战.
结论:
- 目前印尼和世卫组织的算法在儿童结核病诊断方面达成有限的协议,并面临实施障碍.
- 印度尼西亚制定的指南旨在改善诊断,但由于资源的变化和不同的临床表现而面临限制.
- 儿童结核病诊断的算法方法需要适应当地环境才能有效实施.
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