Evidence map›Paper›PMID 41843311›Full record

ArticleActa parasitologica2026

Rapid Nutritional Screening and Short-Term Prognosis in Advanced Schistosomiasis: A Prospective Cohort Study.

Honglin Jiang, Xinting Cai, Mao Zheng, Benjiao Hu, Meng Xia, Qingwu Jiang, Yibiao Zhou

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Article in Acta parasitologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Honglin JiangFudan University School of Public Health, Building 8, 130 Dong'an Road, Shanghai, 200032, China.
Xinting CaiHunan Institute for Schistosomiasis Control, Yueyang, 414021, Hunan Province, China.
Mao ZhengHunan Institute for Schistosomiasis Control, Yueyang, 414021, Hunan Province, China.
Benjiao HuHunan Institute for Schistosomiasis Control, Yueyang, 414021, Hunan Province, China.
Meng XiaHunan Institute for Schistosomiasis Control, Yueyang, 414021, Hunan Province, China.
Qingwu JiangFudan University School of Public Health, Building 8, 130 Dong'an Road, Shanghai, 200032, China.
Yibiao ZhouFudan University School of Public Health, Building 8, 130 Dong'an Road, Shanghai, 200032, China. z_yibiao@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify an appropriate rapid nutritional screening tool for bedside use, and to determine whether early nutritional risk provide clinically meaningful prognostic information in advanced schistosomiasis.

methodsThis prospective single-center cohort enrolled 436 patients with advanced schistosomiasis. Anthropometric indicators and four nutritional screening and assessment tools (NRS-2002, RFH-NPT, LDUST, and SGA) were applied. Agreement between tools was evaluated using Kappa statistics. Short-term prognosis was defined as adverse outcomes within 4 months. Multivariable and penalized logistic regression models identified prognostic nutritional indicators. Model performance was assessed using receiver operating characteristic curves, calibration, decision curve analysis, and net reclassification improvement. Clinical nomograms were developed.

resultsThe mean age was 63.19 ± 11.19 years and 54.6% were male. Using SGA as reference, LDUST showed the highest sensitivity (100%) and demonstrated favorable screening performance. SGA identified malnutrition in 14.2% of patients, while LDUST classified 50.0% as at nutritional risk. Triceps skinfold thickness (TSF), LDUST-defined risk, and SGA-defined malnutrition were relatively informative nutritional predictors. Models incorporating these measures demonstrated higher prognostic discrimination (AUC = 0.786, 95% CI 0.709–0.862) compared with clinical variables alone (AUC = 0.739, 95% CI 0.655–0.823). Higher TSF was associated with a lower risk of poor outcomes (OR = 0.945, 95% CI 0.895–0.998). Nomograms indicated TSF contributed the greatest prognostic weight among nutritional variables.

conclusionLDUST offers a feasible and sensitive tool for rapid bedside nutritional screening in advanced schistosomiasis. Nutrition-based assessments may provide modest additional prognostic information beyond clinical variables, supporting early risk stratification and targeted nutritional management, particularly in resource-limited settings where disease burden is high.

Indexed as

MalnutritionNutritional StatusNutrition AssessmentSchistosomiasisAgedFemaleHumansMaleMiddle AgedPrognosisProspective StudiesSensitivity and SpecificityAdvanced schistosomiasisMalnutritionNutritional assessmentScreening toolShort-term prognosis

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