Matheus Henrique Leite E Silva, Juliana Sartorelo Almeida, Stefania Villela Moreira Reis, Luiz Eduardo Leverentz Souto, Rafael Lopes de Souza Alves, Heloísa Guimarães Alves Lopes, Marcus Vinícius de Melo Andrade
{"title":"Scorpion Envenomation: An Intensive Care Unit Transfer Prediction Score.","authors":"Matheus Henrique Leite E Silva, Juliana Sartorelo Almeida, Stefania Villela Moreira Reis, Luiz Eduardo Leverentz Souto, Rafael Lopes de Souza Alves, Heloísa Guimarães Alves Lopes, Marcus Vinícius de Melo Andrade","doi":"10.1590/0037-8682-0052-2026","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Scorpion envenomation frequently requires critical care intervention. Early determination of cases with a higher likelihood of clinical deterioration may allow for resource optimization and improvement of clinical endpoints. In this study, patients from a tertiary hospital with similar clinical characteristics but diverse outcomes were analyzed to propose a clinical deterioration prediction score.</p><p><strong>Methods: </strong>Demographic, clinical, laboratory, and imaging findings of patients with scorpion envenomation were retrieved from a database used in a toxicology center based on in-person attendance data from 2019 to 2024. Multivariate models were defined and evaluated using receiver operating characteristic curves. A nomogram was created to estimate the probability of ICU transfer. Optimal cutoff points, sensitivity, and specificity were computed. Multiple imputation was performed using chained equations. Normality of errors in linear regressions was assessed via QQ plots.</p><p><strong>Results: </strong>Overall, 146 patients were eligible for enrolment. Sex (p = 0.06), weight (p = 0.30), time-to-serum (p = 0.89), and exposure area (p = 0.49) were comparable between patients admitted to the intensive care unit (ICU) and other inpatients, whereas age (p = 0.006) and initial severity (p < 0.001) displayed significant differences. Logistic regression models displayed area-under-the-curve metrics ranging from 65% to 93%, with high specificity. Hyperamylasemia (p = 0.004), vomiting (p = 0.006), and cardiac dysfunction on echocardiography or point-of-care ultrasound (p < 0.001) were strongly associated with critical care.</p><p><strong>Conclusion: </strong>Prognostication of factors leading to ICU transfer from initial clinical and laboratory findings is feasible. The regression model achieved high specificity and moderate sensitivity; being a potentially useful confirmatory test in cases with clinical suspicion.</p>","PeriodicalId":21199,"journal":{"name":"Revista da Sociedade Brasileira de Medicina Tropical","volume":"59 ","pages":"e00522026"},"PeriodicalIF":2.4000,"publicationDate":"2026-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13331192/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista da Sociedade Brasileira de Medicina Tropical","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1590/0037-8682-0052-2026","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PARASITOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Scorpion envenomation frequently requires critical care intervention. Early determination of cases with a higher likelihood of clinical deterioration may allow for resource optimization and improvement of clinical endpoints. In this study, patients from a tertiary hospital with similar clinical characteristics but diverse outcomes were analyzed to propose a clinical deterioration prediction score.
Methods: Demographic, clinical, laboratory, and imaging findings of patients with scorpion envenomation were retrieved from a database used in a toxicology center based on in-person attendance data from 2019 to 2024. Multivariate models were defined and evaluated using receiver operating characteristic curves. A nomogram was created to estimate the probability of ICU transfer. Optimal cutoff points, sensitivity, and specificity were computed. Multiple imputation was performed using chained equations. Normality of errors in linear regressions was assessed via QQ plots.
Results: Overall, 146 patients were eligible for enrolment. Sex (p = 0.06), weight (p = 0.30), time-to-serum (p = 0.89), and exposure area (p = 0.49) were comparable between patients admitted to the intensive care unit (ICU) and other inpatients, whereas age (p = 0.006) and initial severity (p < 0.001) displayed significant differences. Logistic regression models displayed area-under-the-curve metrics ranging from 65% to 93%, with high specificity. Hyperamylasemia (p = 0.004), vomiting (p = 0.006), and cardiac dysfunction on echocardiography or point-of-care ultrasound (p < 0.001) were strongly associated with critical care.
Conclusion: Prognostication of factors leading to ICU transfer from initial clinical and laboratory findings is feasible. The regression model achieved high specificity and moderate sensitivity; being a potentially useful confirmatory test in cases with clinical suspicion.
期刊介绍:
The Journal of the Brazilian Society of Tropical Medicine (JBSTM) isan official journal of the Brazilian Society of Tropical Medicine) with open access. It is amultidisciplinary journal that publishes original researches related totropical diseases, preventive medicine, public health, infectious diseasesand related matters. Preference for publication will be given to articlesreporting original observations or researches. The journal has a peer-reviewsystem for articles acceptance and its periodicity is bimonthly. The Journalof the Brazilian Society of Tropical Medicine is published in English.The journal invites to publication Major Articles, Editorials, Reviewand Mini-Review Articles, Short Communications, Case Reports, TechnicalReports, Images in Infectious Diseases, Letters, Supplements and Obituaries.