ArticleJournal of inflammation research2025
Risk Prediction of Severe Complications Caused by Hymenoptera Insect Stings: Development and Validation of a Nomogram Mode.
Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Development and validation of an early prediction model for bee-sting-induced acute kidney injury using machine learning.Renal failure · 2026Article
- From a membrane-lytic toxin to a programmable therapeutic module: exposure control and detoxified delivery strategies for translating melittin into antitumor therapy.Molecular biology reports · 2026Review
- Machine learning enables early risk stratification of hymenopteran stings: evidence from a tropical multicenter cohort.Frontiers in public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.