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. 2023 Sep 6;12(18):5789.
doi: 10.3390/jcm12185789.

Clinical Manifestations and Risk Factors Associated with 14 Deaths following Swarm Wasp Stings in a Chinese Tertiary Grade A General Hospital: A Retrospective Database Analysis Study

Affiliations

Clinical Manifestations and Risk Factors Associated with 14 Deaths following Swarm Wasp Stings in a Chinese Tertiary Grade A General Hospital: A Retrospective Database Analysis Study

Maohe Wang et al. J Clin Med. .

Abstract

Introduction: The objective was to evaluate the poisoning severity score (PSS) as an early prognostic predictor in patients with wasp stings and identify associated clinical characteristics and risk factors for mortality.

Methods: A total of 363 patients with wasp stings at Suining Central Hospital between January 2016 and December 2018 were enrolled. Within the first 24 h of admission, the poisoning severity score (PSS) and the Chinese expert consensus on standardized diagnosis and treatment of wasp stings (CECC) were utilized for severity classification, and their correlation was examined. Patients were then divided into survival and death groups based on discharge status. Logistic regression analysis was employed to analyze factors influencing patients' outcomes.

Results: The mortality of wasp sting patients was 3.9%. The PSS and CECC were found to correlate for severity classification. Additionally, female gender, age, number of stings, and PSS were identified as independent risk factors for mortality in wasp sting patients. Combining these four factors yielded an AUC of 0.962 for predicting death.

Conclusions: PSS aids in early severity classification of wasp stings. Female gender, age, number of stings, and PSS were independent mortality risk factors in these patients.

Keywords: death; poisoning severity score; prognosis; risk factors; wasp.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Monthly distribution of wasp sting patients.
Figure 2
Figure 2
ROC curve analysis for mortality prediction using PSS, CECC, and a composite of four indices (female gender, age, PSS, and number of stings).

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