Psychology Department, Macquarie University, North Ryde, NSW, Australia.
Department of Gastroenterology and Hepatology, Princess Alexandra Hospital and Translational Research Institute (TRI, Woolloongabba, QLD, Australia.
Neurogastroenterol Motil. 2021 Aug;33(8):e14091. doi: 10.1111/nmo.14091. Epub 2021 Jan 29.
Patients presenting with gastrointestinal symptoms can be challenging in terms of determining etiology and management strategies. Identifying likely organic pathology is important since it can be treated and may result in further, long-term harm to the patient if not treated. Currently, organic pathology is often identified via invasive procedures such as endoscopy or referral to a medical imaging service. We report on an approach that offers a first step at identifying patients with an organic gastrointestinal disease based on the SAGIS, a validated symptom questionnaire.
8,922 patients referred to a tertiary care hospital were classified as having either functional gastrointestinal disease or an organic gastrointestinal disease. A model was developed to distinguish organic from functional symptoms on one random split half of the sample and validated on the other half. The incremental benefit of including psychological conditions and extra-gastrointestinal conditions was also evaluated.
Functional gastrointestinal patients scored higher on average than organic patients on all dimensions of the SAGIS and reported higher rates of psychological and extra-gastrointestinal conditions. All five dimensions of the SAGIS provided statistically independent discrimination of organic from functional diagnoses with good overall discrimination (AUC = 0.75). However, there was no noticeable incremental benefit of adding either psychological or extra-gastrointestinal conditions. Model performance was highly reproducible.
The proposed algorithm for identifying likely organic gastrointestinal disease applied to symptoms as recorded in the SAGIS questionnaire provides a useful tool for the clinician in deciding what or if further diagnostic testing is required.
胃肠道症状患者在确定病因和管理策略方面具有挑战性。确定可能的器质性病变很重要,因为如果不治疗,它可以治疗,并且可能对患者造成进一步的长期伤害。目前,器质性病变通常通过内窥镜检查或转介给医学影像服务等侵入性程序来识别。我们报告了一种方法,该方法基于经过验证的症状问卷 SAGIS,可提供识别患有器质性胃肠道疾病的患者的第一步。
8922 名转诊到三级保健医院的患者被分为功能性胃肠道疾病或器质性胃肠道疾病。在样本的随机一半中开发了一种区分器质性和功能性症状的模型,并在另一半中进行了验证。还评估了包括心理状况和胃肠外状况的增量收益。
功能性胃肠道患者在 SAGIS 的所有维度上的平均得分均高于器质性患者,并且报告了更高的心理和胃肠外状况发生率。SAGIS 的所有五个维度均提供了器质性与功能性诊断的统计学上独立的区分,具有良好的总体区分度(AUC=0.75)。但是,添加心理或胃肠外状况并没有明显的增量收益。模型性能具有高度可重复性。
用于识别可能的器质性胃肠道疾病的建议算法应用于 SAGIS 问卷中记录的症状,为临床医生决定是否需要进一步诊断测试提供了有用的工具。