ArticleHeliyon2024
Establishment and validation of a nomogram model for prediction of clinical outcomes in patients with amanita phalloides poisoning.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Recent Advances in Toxic Wild Mushroom Distribution and Social Epidemiology.International journal of environmental research and public health · 2026Review
- Article
- Serum metabolomics identifies novel prognostic biomarkers inFrontiers in pharmacology · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amanita phalloides poisoning, renowned for its high mortality rates, is one of the most serious food safety issue in certain regions worldwide. Assessment of prognosis and development of more efficacious therapeutic strategies are critical importance for amanita phalloides poisoning patients. The aim of the study is to establish a nomogram to predict the clinical outcome of amanita phalloides poisoning patients based on the independent risk factor for prognosis. Herein, between January 2013 and September 2023, a cohort of 149 patients diagnosed with amanita phalloides poisoning was enrolled and randomly allocated into training and validation cohorts, comprising 102 and 47 patients, respectively. Multivariate logistic regression analysis was performed to identify the independent risk factors for morality of amanita phalloides poisoning patients in training cohort. Subsequently, a nomogram model was constructed to visually display the risk prediction model. The predictive accuracy of nomogram was verified by the validation cohort. The C index, the area under the receiver operating characteristic curve (AUC), and calibration plots were used to assessed the performance of nomogram. The clinical utility was evaluated by decision curve analysis (DCA). In the present study, the results showed that hepatic encephalopathy (HE), upper gastrointestinal bleeding (UGB), AST, and PT were the independent risk factors associated with the mortality of amantia phalloides poisoning patients. We constructed a new nomogram to evaluate the probability of death induced by amantia phalloides poisoning. The AUC for the prediction accuracy of the nomogram was 0.936 for the training cohort and 0.929 for the validation cohort. The calibration curves showed that the predicted probability matched the actual likelihood. The results of the DCA suggested that the nomogram has a good potential for clinical application. In summary, we developed a new nomogram to assess the probability of mortality for amanita phalloides poisoning patients. This nomogram might facilitate clinicians in making more efficacious treatment strategies for patients with amanita phalloides poisoning.
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