ArticleBMC infectious diseases2025
Interpretable machine learning-derived nomogram model for early detection of persistent diarrhea in Salmonella typhimurium enteritis: a propensity score matching based case-control study.
Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Computational paradigms for antimicrobial resistance prediction: integrating multi-omics, structural modeling, and foundation artificial intelligence systems.Briefings in bioinformatics · 2026Pooled it
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7 authors.
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Abstract
backgroundSalmonella typhimurium infection is a considerable global health concern, particularly in children, where it often leads to persistent diarrhea. This condition can result in severe health complications including malnutrition and cognitive impairment.
methodsA comprehensive retrospective study was conducted involving 627 children diagnosed with Salmonella typhimurium enteritis. These children were hospitalized for Salmonella typhimurium enteritis between January 2010 and December 2022 at the Second Affiliated Hospital of Wenzhou Medical University. Propensity score matching was used to explore the potential risk factors and predictors of persistent diarrhea following S. typhimurium infection.
resultsThe study identified body temperature, C-reactive protein (CRP) levels, alanine aminotransferase (ALT) levels, white blood cell count, and lactose intolerance were significant predictors of persistent diarrhea. Nomogram models developed based on these predictors demonstrated robust performance in predicting persistent diarrhea risk, with an accuracy of > 90%.
conclusionThe developed nomogram models provide a practical tool for the early identification of children at high risk of persistent diarrhea, facilitating intervention, potentially preventing serious sequelae, and improving the prognosis of children with S. typhimurium enteritis.
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