ArticleCritical care (London, England)2021
Development and validation of new poisoning mortality score system for patients with acute poisoning at the emergency department.
Article in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Development and internal validation of a parsimonious clinical score for multiple organ dysfunction syndrome following acute poisoning: a retrospective cohort study.BMC emergency medicine · 2026Article
- Development and validation of a prediction model for in-hospital mortality in older adults with acute poisoning.The Journal of international medical research · 2025Article
- Accuracy of Pediatric new poisoning mortality score versus poisoning severity score in prediction of in-hospital mortality of acutely poisoned children admitted to Pediatric intensive care unit.Toxicology research · 2025Article
- A comparison of different scores for mortality prediction of acutely poisoned patients: a systematic review and meta-analysis.Toxicology research · 2025Article
- The National Early Warning Score 2 versus the New-Poisoning Mortality Score System for Predicting Clinical Outcomes After Acute Aluminum Phosphide Poisoning.Toxicology research · 2025Article
- A Comparative Analysis of Toxicology and Non-Toxicology Care in Intoxicated Patients with Acute Kidney Injury.Medicina (Kaunas, Lithuania) · 2024Article
- The INTOXICATE study: methodology and preliminary results of a prospective observational study.Critical care (London, England) · 2024Observational
- Evaluation of the new poisoning mortality score in comparison with PSS and SOFA scoring systems to predict mortality in poisoned patients admitted to the intensive care unit.Toxicology research · 2024Article
- Severe Intentional Corrosive (Nitric Acid) Acute Poisoning: A Case Report and Literature Review.Journal of personalized medicine · 2023Review
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6 authors.
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Abstract
backgroundA prediction model of mortality for patients with acute poisoning has to consider both poisoning-related characteristics and patients' physiological conditions; moreover, it must be applicable to patients of all ages. This study aimed to develop a scoring system for predicting in-hospital mortality of patients with acute poisoning at the emergency department (ED).
methodsThis was a retrospective analysis of the Injury Surveillance Cohort generated by the Korea Center for Disease Control and Prevention (KCDC) during 2011-2018. We developed the new-Poisoning Mortality Scoring system (new-PMS) to generate a prediction model using the derivation group (2011-2017 KCDC cohort). Points were computed for categories of each variable. The sum of these points was the new-PMS. The validation group (2018 KCDC cohort) was subjected to external temporal validation. The performance of new-PMS in predicting mortality was evaluated using area under the receiver operating characteristic curve (AUROC) for both the groups.
resultsOf 57,326 poisoning cases, 42,568 were selected. Of these, 34,352 (80.7%) and 8216 (19.3%) were enrolled in the derivation and validation groups, respectively. The new-PMS was the sum of the points for each category of 10 predictors. The possible range of the new-PMS was 0-137 points. Hosmer-Lemeshow goodness-of-fit test showed adequate calibration for the new-PMS with p values of 0.093 and 0.768 in the derivation and validation groups, respectively. AUROCs of the new-PMS were 0.941 (95% CI 0.934-0.949, p < 0.001) and 0.946 (95% CI 0.929-0.964, p < 0.001) in the derivation and validation groups, respectively. The sensitivity, specificity, and accuracy of the new-PMS (cutoff value: 49 points) were 86.4%, 87.2%, and 87.2% and 85.9%, 89.5%, and 89.4% in the derivation and validation groups, respectively.
conclusionsWe developed a new-PMS system based on demographic, poisoning-related variables, and vital signs observed among patients at the ED. The new-PMS showed good performance for predicting in-hospital mortality in both the derivation and validation groups. The probability of death increased according to the increase in the new-PMS. The new-PMS accurately predicted the probability of death for patients with acute poisoning. This could contribute to clinical decision making for patients with acute poisoning at the ED.
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