Performance of fecal inflammatory biomarkers to identify watery shigellosis: Findings from the Enterics for Global Health (EFGH) Shigella surveillance study.
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Ogwel Billy, Khanam Farhana, Badji Henry, Charles Mary, Qureshi Sonia, Horne Bri'Anna, Brennhofer Stephanie A, Platts-Mills James A, Sears Khandra, Tennant Sharon, Kim Sara, Omore Richard, Awuor Alex O, Okonji Caleb, Iqbal Junaid, Ahmed Naveed, Hussain Zarfishan, Qadri Firdausi, Raz S M Azadul Alam, Bhuiyan Elias Shawon, Yori Pablo Penataro, Olortegui Maribel Paredes, Kosek Margaret N, Jallow Samba Juma, Ceesay Bubacarr E, Conteh Bakary, Nyirenda Atusaye K, Munthali Vitumbiko, Lefu Clement, Bhuiyan Taufiqur Rahman, Munga Stephen, Hossain M Jahangir, Cornick Jennifer, Qamar Farah Naz, Benkeser David, Rogawski McQuade Elizabeth T
Аннотация
METHODS: We conducted an ancillary analysis using samples from six sites (The Gambia, Kenya, Malawi, Bangladesh, Pakistan, and Peru) from the Enterics for Global Health (EFGH)-Shigella surveillance study, a facility-based hybrid study of children aged 6-35 months with diarrhea. Four fecal biomarkers were quantified by enzyme-linked immunosorbent assays at enrollment: myeloperoxidase, calprotectin, neutrophil gelatinase-associated lipocalin (lipocalin-2), and hemoglobin. An ensemble model with leave-one-site-out cross-validation was used to predict watery shigellosis, incorporating biomarkers and nine clinical and socio-economic predictors. We compared the predictive performance of the algorithm using: a) all predictors (including biomarkers); b) all non-biomarker predictors; c) all predictors (with selected biomarkers).
RESULTS: Between June 2022 and August 2024, a total of 4,191/9,476 (44.2%) children presented with watery diarrhea (non-bloody) and had their whole stool tested for the biomarkers and 4,083 stool samples or rectal swabs were tested by qPCR; 735 (18.0%) had Shigella-attributable diarrhea by qPCR. The full model incorporating all 13 predictors achieved an area under the curve (AUC) of 0.75 [95% CI: 0.67-0.78], with a sensitivity of 0.67 and specificity of 0.75. Excluding biomarkers reduced model performance by 8% (AUC 0.67, 95% CI: 0.61-0.70). Adding hemoglobin alone improved the model's discriminatory ability by 7%, while further adding myeloperoxidase had marginal contribution (1%), and lipocalin-2 (0%) and calprotectin none (0%).
CONCLUSION: Fecal hemoglobin substantially improved prediction scores for watery shigellosis. Consequently, implementation of point-of-care assays for hemoglobin could improve clinical diagnosis in these settings and inform appropriate antibiotic treatment.