Zhang Miaomiao, Peng Xiuyan, Chen Feng, Li Qi
Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China.
Department of Intensive Care Unit, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China.
PLoS Negl Trop Dis. 2025 Apr 23;19(4):e0012975. doi: 10.1371/journal.pntd.0012975. eCollection 2025 Apr.
Snakebites remain an overlooked public health issue with high morbidity and mortality. In this study, we assess the impact of diabetes on disease severity in patients with venomous snakebites.
A retrospective cohort analysis was conducted on snakebite cases treated at eight hospitals in Fujian Province between December 2019 and December 2023. Snakebite severity was evaluated using the Snakebite Severity Score. Univariate and multivariate logistic regression analyses were performed to identify the factors associated with snakebite severity.
The study included 537 patients. The average age of patients is 55 years. 54.93% (n = 295) were aged ≥55 years, 57.17% (n = 307) were male, and 13.41% (n = 72) had diabetes. In the multivariate logistic regression, diabetes (odds ratio [OR] = 5.51; 95% confidence interval [CI]: 3.18-9.55), time from snakebite to hospital (OR = 1.04; 95% CI: 1.01-1.07), and bite site (OR = 0.63; 95% CI: 0.41-0.97) were identified as independent predictors of snakebite severity. Subgroup analysis revealed significant sex differences among patients with diabetes. The odds ratio for moderate-to-severe outcome was 3.81 (95% confidence interval [CI]: 1.81-7.99) in males and 12.57 (95% CI: 5.72-27.60) in females, with an interaction p-value of 0.030. Additionally, diabetes was significantly associated with prolonged hospital length of stay (p < 0.01), increased costs (p < 0.01), higher complication rates (p < 0.01), and a greater likelihood of requiring debridement surgery (p < 0.01) compared to individuals without diabetes.
Diabetes is an independent predictor of disease severity in patients with snakebites, underscoring the need for clinicians to consider the diabetes status when assessing and managing snakebite risk. These findings provide valuable insights for optimizing care strategies for individuals with diabetes who have experienced venomous snakebites.
蛇咬伤仍是一个被忽视的公共卫生问题,发病率和死亡率都很高。在本研究中,我们评估糖尿病对毒蛇咬伤患者疾病严重程度的影响。
对2019年12月至2023年12月期间在福建省八家医院接受治疗的蛇咬伤病例进行回顾性队列分析。使用蛇咬伤严重程度评分评估蛇咬伤的严重程度。进行单因素和多因素逻辑回归分析,以确定与蛇咬伤严重程度相关的因素。
该研究纳入了537名患者。患者的平均年龄为55岁。54.93%(n = 295)的患者年龄≥55岁,57.17%(n = 307)为男性,13.41%(n = 72)患有糖尿病。在多因素逻辑回归中,糖尿病(比值比[OR]=5.51;95%置信区间[CI]:3.18 - 9.55)、蛇咬伤至入院时间(OR = 1.04;95% CI:1.01 - 1.07)和咬伤部位(OR = 0.63;95% CI:0.41 - 0.97)被确定为蛇咬伤严重程度的独立预测因素。亚组分析显示糖尿病患者中存在显著的性别差异。男性中度至重度结局的比值比为3.81(95%置信区间[CI]:1.81 - 7.99),女性为12.57(95% CI:5.72 - 27.60),交互作用p值为0.030。此外,与无糖尿病个体相比,糖尿病与住院时间延长(p < 0.01)、费用增加(p < 0.01)、并发症发生率更高(p < 0.01)以及需要清创手术的可能性更大(p < 0.01)显著相关。
糖尿病是蛇咬伤患者疾病严重程度的独立预测因素,强调临床医生在评估和管理蛇咬伤风险时需要考虑糖尿病状态。这些发现为优化毒蛇咬伤糖尿病患者的护理策略提供了有价值的见解。