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Predictive nomogram for leprosy using genetic and epidemiological risk factors in Southwestern China: Case–control and prospective analyses

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العنوان: Predictive nomogram for leprosy using genetic and epidemiological risk factors in Southwestern China: Case–control and prospective analyses
المؤلفون: Si-Yu Long, Ji-Ya Sun, Le Wang, Heng Long, Hai-Qin Jiang, Ying Shi, Wen-Yue Zhang, Jing-Shu Xiong, Pei-Wen Sun, Yan-Qing Chen, You-Ming Mei, Chun Pan, Zhen-Zhen Wang, Zi-Wei Wu, Ai-Ping Wu, Mei-Wen Yu, Hong-Sheng Wang
المصدر: EBioMedicine, Vol 68, Iss , Pp 103408- (2021)
بيانات النشر: Elsevier, 2021.
سنة النشر: 2021
المجموعة: LCC:Medicine
LCC:Medicine (General)
مصطلحات موضوعية: Leprosy, Nomogram, Risk stratification, Leprosy prediction, Medicine, Medicine (General), R5-920
الوصف: Background: There is a high incidence of leprosy among house-contacts compared with the general population. We aimed to establish a predictive model using these genetic factors along with epidemiological factors to predict leprosy risk of leprosy household contacts (HHCs). Methods: Weighted genetic risk score (wGRS) encompassing genome wide association studies (GWAS) variants and five non-genetic factors were examined in a case–control design associated with leprosy risk including 589 cases and 647 controls from leprosy HHCs. We constructed a risk prediction nomogram and evaluated its performance by concordance index (C-index) and calibration curve. The results were validated using bootstrap resampling with 1000 resamples and a prospective design including 1100 HHCs of leprosy patients. Finding: The C-index for the risk model was 0·792 (95% confidence interval [CI] 0·768-0·817), and was confirmed to be 0·780 through bootstrapping validation. The calibration curve for the probability of leprosy showed good agreement between the prediction of the nomogram and actual observation. HHCs were then divided into the low-risk group (nomogram score ≤ 81) and the high-risk group (nomogram score > 81). In prospective analysis, 12 of 1100 participants had leprosy during 63 months’ follow-up. We generated the nomogram for leprosy in the validation cohort (C-index 0·773 [95%CI 0·658-0·888], sensitivity75·0%, specificity 66·8%). Interpretation The nomogram achieved an effective prediction of leprosy in HHCs. Using the model, the risk of an individual contact developing leprosy can be determined, which can lead to a rational preventive choice for tracing higher-risk leprosy contacts. Funding: The ministry of health of China, ministry of science and technology of China, Chinese academy of medical sciences, Jiangsu provincial department of science and technology, Nanjing municipal science and technology bureau.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2352-3964
Relation: http://www.sciencedirect.com/science/article/pii/S2352396421002012; https://doaj.org/toc/2352-3964
DOI: 10.1016/j.ebiom.2021.103408
URL الوصول: https://doaj.org/article/13133baa76354b9ab0347b07d6593690
رقم الأكسشن: edsdoj.13133baa76354b9ab0347b07d6593690
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23523964
DOI:10.1016/j.ebiom.2021.103408