2013 - 2020年贵州省某地区急性野蘑菇中毒病例治疗开始时间与患者预后的关系:回顾性观察研究与预测

Caiyun Xia, Fuping Lai, Jin Wu, Jiangshan Zhan, Xiaojun Zhang, Xian Yu, Ya Liao, Guiyi Zhang, Jie Hu, Tinggang Wang, Yuanlan Lu
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引用次数: 0

摘要

方法:对2013年1月至2020年12月在中国三级政府医院遵义医科大学附属医院(AHZMU)接受蘑菇中毒治疗的455例患者进行单中心回顾性观察研究。我们研究了预后因素的影响,包括在AHZMU完成治疗的患者与转到AHZMU的患者的死亡率、平均住院时间、潜伏期bbbb6 -h的死亡率、主要器官受损、HOPE6-TALK评分,并建立了评估急性蘑菇中毒严重程度的预测模型。结果:2013-2020年,医院共发生蘑菇中毒病例455例。蘑菇中毒主要发生在夏季和秋季,共造成47例患者死亡。首次诊断病例病死率为12.77%(6/47),非首次诊断病死率为87.23%(41/47)。大多数死亡(89.36%)是由于肝损伤。潜伏期bbbb6 -h死亡占总死亡率的70.21%(33/47)。Logistic回归分析显示年龄和HOPE6评分为独立危险因素,建立Logistic模型方程,经ROC曲线分析检验,组合预测值(Ycoalition)为289.6为急性蘑菇中毒死亡的临界值。结论:对于急性蘑菇中毒患者,主治医师应及早进行HOPE6-TALK评分,计算Ycoalition,并及时通过形态学和分子生物学鉴定识别出有毒蘑菇。鉴定菌种,进一步推断临床类型和临床特征。例如,氨毒素可引起急性肝损伤,死亡率高。识别可能造成器官损伤的菌种,及时实施毒蕈捆绑治疗,提高治愈率,降低死亡率(Lu et al., 2019)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship between the start time of treatment and patient prognosis in cases of acute wild mushroom poisoning in a certain region of Guizhou Province, China from 2013 to 2020: A retrospective Observational Study and forecast.

Methods: This single-center, retrospective observational study was conducted on 455 patients with Undergoing Treatment for Mushroom Poisoning at Affiliated Hospital of Zunyi Medical University (AHZMU), the tertiary governmental hospital of China, between January 2013 and December 2020. We investigated the impact of prognostic factors, including the mortality rate of patients who completed treatment at AHZMU versus those transferred to AHZMU, average length of hospital stay, mortality rate for a latency period of > 6-h, major damaged organs, HOPE6-TALK scoring and established a predictive model to assess the severity of acute mushroom poisoning.

Results: In 2013-2020, there are 455 patients of mushroom poisoning at AHZMU. Mushroom poisonings mainly concentrated in the summer and autumn months, resulted in 47 patients deaths. The first diagnosis cases at AHZMU resulting in a case fatality rate of 12.77% (6/47), Non-first diagnosis patients fatality accounting for 87.23% (41/47). The majority of deaths (89.36%) were attributed to liver injury. Death with incubation period >6-h accounting for 70.21% (33/47) of the total mortality rate. Logistic regression analysis revealed age and HOPE6 scores as independent risk factors, thereby establishing the logistic model equation, an examination via the ROC curve analysis indicates that a combination predictor values (Ycoalition) of 289.6 is the cut-off values for death resulting from acute mushroom poisoning.

Conclusion: The attending physician should conduct an early HOPE6-TALK scoring and calculate the Ycoalition for patients with acute mushroom poisoning, as well as promptly identify the toxic mushrooms through morphological and molecular biological identification. Identify mushroom species and further infer the clinical type and clinical characteristics. For example, amanitoxion can cause acute liver injury with high mortality. Identify mushroom species that may cause organ damage so that timely implementation of the bundled therapy for poisonous mushrooms will increase the cure rate and reduce the mortality rate (Lu et al., 2019).

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