Department of General Surgery, Xiamen Branch Zhongshan Hospital, Fudan University, Xiamen, Fujian, P. R. China; and Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, P. R. China
Department of Surgery, Chaya People's Hospital, Chaya County, Tibet Autonomous Region, P. R. China
Rural Remote Health. 2023 Oct;23(4):7709. doi: 10.22605/RRH7709. Epub 2023 Oct 19.
Acute appendicitis is the most common general surgical emergency worldwide; however, its diagnosis remains challenging, particularly in rural or remote areas such as Tibet. This study aimed to investigate the clinical characteristics and applicability of the routine risk prediction models of acute appendicitis for rural Tibetan populations.
Data of patients who underwent appendectomy at the Chaya People's Hospital between 1 April 2018 and 30 September 2021 were retrospectively collected. Multivariate logistic regression analysis was performed to identify risk factors associated with complicated appendicitis. The appendicitis risk prediction model scores for each patient were calculated by the binary logistic regression model based on the data. The index of union method was applied to identify the optimal cut-off value for the critical values of risk prediction models.
We included 127 patients with suspected acute appendicitis in the study, consisting of 96 surgically and 31 non-surgically treated. The diagnoses of 93 patients who underwent appendectomy included 55 (59.1%) cases of uncomplicated appendicitis. Patients with complicated appendicitis had a significantly longer postoperative hospital stay (11.0 (interquartile range 8.8-13.3) days v 8.0 (interquartile range 6.0-11.0) days; p<0.001) and higher hospital costs (US$2147.2 (interquartile range US$1625.1-2516.6) v US$1487.9 (interquartile range US$1202.6-1809.2); p24 hours, age >30 years, and male sex were independent risk factors associated with complicated appendicitis. The appendicitis inflammatory response score showed the best performance among the prediction models. Incorporating imaging features in the prediction models may provide better diagnostic value for appendicitis.
Acute appendicitis in the rural Tibetan population has unique clinical features. To reduce the incidence of complicated appendicitis, local health workers must balance religious beliefs and professional services for residents.
急性阑尾炎是全球最常见的普通外科急症;然而,其诊断仍然具有挑战性,特别是在西藏等农村或偏远地区。本研究旨在探讨常规急性阑尾炎风险预测模型在西藏农村人群中的临床特征和适用性。
回顾性收集了 2018 年 4 月 1 日至 2021 年 9 月 30 日期间在察雅人民医院接受阑尾切除术的患者数据。采用多变量逻辑回归分析确定与复杂性阑尾炎相关的危险因素。根据数据,通过二元逻辑回归模型计算每位患者的阑尾炎风险预测模型评分。应用联合指数方法确定风险预测模型临界值的最佳截断值。
本研究纳入了 127 例疑似急性阑尾炎患者,其中 96 例接受了手术治疗,31 例未接受手术治疗。接受阑尾切除术的 93 例患者的诊断包括 55 例(59.1%)单纯性阑尾炎。复杂性阑尾炎患者的术后住院时间明显延长(11.0(四分位距 8.8-13.3)天 v 8.0(四分位距 6.0-11.0)天;p<0.001),住院费用更高(2147.2 美元(四分位距 1625.1-2516.6 美元) v 1487.9 美元(四分位距 1202.6-1809.2 美元);p<0.001)。24 小时内就诊、年龄>30 岁和男性是与复杂性阑尾炎相关的独立危险因素。阑尾炎炎症反应评分在预测模型中表现最佳。在预测模型中纳入影像学特征可能为阑尾炎提供更好的诊断价值。
西藏农村地区的急性阑尾炎具有独特的临床特征。为了降低复杂性阑尾炎的发生率,当地卫生工作者必须在居民的宗教信仰和专业服务之间取得平衡。