Nomogram model for predicting secondary infection in critically ill patients with heatstroke: A pilot study from China
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Le résumé fourni par la source
OBJECTIVE: In this retrospective analysis, we explored the clinical characteristics and risk factors of secondary infections in patients with severe heatstroke with the aim to gain epidemiological insights and identify risk factors for secondary infections. METHOD: The study included 129 patients with severe heatstroke admitted to the General Hospital of the Southern Theater Command of the PLA between January 1, 2011, and December 31, 2021. Patients were divided into an infection group (n = 24) and a non-infection group (n = 105) based on infection occurrence within 48 h of intensive care unit (ICU) admission. Clinical indicators, infection indicators, and clinical outcomes within 24 h of ICU admission were collected and compared between the groups. Independent risk factors for infection in patients with severe heatstroke were analyzed using univariate and multivariate analyses. A nomogram model was constructed, evaluated, and validated. RESULT: Among the 129 patients with heatstroke, 24 developed secondary infections. Infections occurred between days 3 and 10 post-ICU admission, primarily affecting the lungs. Multivariate analysis identified vasopressor use, serum creatinine level, and gastrointestinal dysfunction at admission as independent risk factors, while elevated lymphocyte count (odds ratio [OR] = 0.167; 95% confidence interval [CI] 0.049-0.572; P = 0.004) was protective against severe heatstroke. Infected patients required longer durations of mechanical ventilation (OR = 2.764; 95% CI, 1.735-4.405; P = 0.044) and total hospital stay than those in the non-infection group. The nomogram model demonstrated clinical feasibility. CONCLUSION: Increased lymphocyte count is an independent protective factor against infections in patients with severe heatstroke. Vasopressor use, gastrointestinal dysfunction, and elevated serum creatinine levels are independent risk factors. These indicators can aid clinicians in assessing infection risk in patients with severe heatstroke.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Nomogram model for predicting secondary infection in critically ill patients with heatstroke: A pilot study from China
- Date Crossref
- 26/12/2024
- Éditeur
- Public Library of Science (PLoS)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Third Affiliated Hospital of Southern Medical University pays non établi dans la noticeÉtablissement de santé
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Southern Medical University pays non établi dans la noticeUniversité ou école supérieure
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Longgang Central Hospital Department of Critical Care Medicine pays non établi dans la noticeÉtablissement de santé
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Guangzhou University of Chinese Medicine Department of Graduate School pays non établi dans la noticeUniversité ou école supérieure
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Weifang People's Hospital Department of Emergency Medicine pays non établi dans la noticeÉtablissement de santé
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General Hospital of Southern Theatre Command of PLA Department of Critical Care Medicine pays non établi dans la noticeÉtablissement de santé
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The First Clinical Medical College pays non établi dans la noticeUniversité ou école supérieure
Third Affiliated Hospital of Southern Medical University, Southern Medical University et Department of Critical Care Medicine — Longgang Central Hospital, avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.