The predictive value of Alvarado score, inflammatory parameters and ultrasound imaging in the diagnosis of acute appendicitis

Alvarado评分、炎症参数和超声成像在急性阑尾炎诊断中的预测价值

阅读:1

Abstract

OBJECTIVE: Acute appendicitis (AA) is one of the most common surgical emergencies. Despite extraordinary advances in modern investigations, the accurate diagnosis of AA remains an enigmatic challenge. The aim of this study was to compare and evaluate the diagnostic accuracy of inflammatory parameters [C-reactive protein (CRP), procalcitonin (PCT), erythrocyte sedimentation rate (ESR)], ultrasound (US) and Alvarado score (AS) in reducing the rate of negative appendectomies. MATERIAL AND METHODS: Two hundred seventy-eight patients were included in this study. Patients were separated into two main groups as the surgery group (n=184) and non-operative group (n=94). Complete blood count, ESR and PCT levels were assessed, abdominal US was performed and AS was calculated for all patients. RESULTS: In the surgery group, clinical predictive factors for histopathologic results such as AS ≥7, AA signs on US, neutrophilia and leukocytosis were significant. Neutrophilia and leukocytosis had the highest accuracy rate among these factors. Inflammatory parameters were not predictive for histopathologic results, although higher CRP and PCT levels were significant in perforated and necrotizing appendicitis. Multifactorial regression analyses showed that AS was not of significant predictive value in the non-operative group. CONCLUSION: There was no superiority of AS and/or US in the diagnosis of AA. Recent findings have shown the most reliable parameters in the diagnosis of AA to be primarily 'neutrophilia' and secondarily 'leukocytosis'. Other results of this study indicated that inflammatory parameters (CRP, PCT, ESR) were not superior to other parameters but CRP and PCT levels were significantly high in complicated cases.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。