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Updated: Sep 10, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Risk Prediction of Severe Complications Caused by Hymenoptera Insect Stings: Development and Validation of a Nomogram
Jiahao Guan1, Zhenkai Zhao2, Zitong Wang1,3
1Department of Clinical Laboratory, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, People's Republic of China.
Background:
Hymenopteran stings (Apidae/Vespidae) represent critical emergencies frequently encountered during summer and autumn seasons. These incidents can trigger localized inflammatory responses and severe systemic complications-including anaphylactic shock, acute organ injury, and multi-organ dysfunction-potentially leading to death, especially in resource-limited areas. While honeybee and wasp venom components (melittin/hyaluronidase vs kinins/phospholipase) and effects differ, potentially causing distinct complications, this study develops a universal early risk prediction tool without differentiating bee species. Based on clinical and simple lab indicators, it aims to help frontline providers optimize high-risk patient identification and intervention, reducing mortality and healthcare burden.
Patients And Methods:
We retrospectively analyzed 1124 hymenoptera sting patients from Shaanxi Provincial People's Hospital (2014-2023). After screening, 607 eligible patients were randomly divided into training (n=455) and validation (n=152) cohorts (3:1 ratio). Univariate and multivariate logistic regression identified severe complication independent risk factors, enabling nomogram development. Its discriminative ability, calibration, and clinical utility were assessed using ROC curves, calibration plots, and DCA in both cohorts.
Results:
Severe complications occurred in 33 patients (5.44%): anaphylactic shock (9, 1.48%), acute kidney injury (4, 0.66%), acute myocardial injury (6, 0.99%), multiple organ dysfunction (13, 2.14%), and coagulation dysfunction (1, 0.16%). Independent predictors were: white blood cell count (OR=1.192, 95% CI: 1.099-1.293), systemic inflammatory response index (OR=1.046, 95% CI: 1.002-1.093), and blood urea nitrogen (OR=1.374, 95% CI: 1.114-1.695). The nomogram achieved AUCs of 0.954 (95% CI: 0.926-0.982) in training and 0.985 (95% CI: 0.965-1.000) in validation cohorts. Calibration showed good agreement (Hosmer-Lemeshow P > 0.05). DCA demonstrated significant clinical net benefit.
Conclusion:
This study's nomogram effectively predicts severe sting complication risk, serving as a practical tool for primary care providers to identify high-risk patients early and improve decisions.
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