Normandie Univ, UNIROUEN, U1073, Rouen University Hospital, Clinical Investigation Center 1404, F-76000, Rouen, France.
Rouen University Hospital, Clinical Investigation Center 1404, F-76000, Rouen, France.
BMC Psychiatry. 2019 Nov 21;19(1):366. doi: 10.1186/s12888-019-2338-6.
We evaluated the performance of a clinical algorithm (Expali™), combining two or more positive answers to SCOFF questionnaire with Body Mass Index (BMI), to identify four Broad Categories of eating disorders (ED) derived from DSM-5.
The clinical algorithm (Expali™) was developed from 104 combinations of BMI levels and answers to five SCOFF questions with at least two positive answers. Two senior ED physicians allocated each combination to one of the four Broad Categories of ED derived from DSM-5: restrictive disorder, bulimic disorder, hyperphagic disorder and other unspecified ED diagnosed by ED clinicians. The performance of Expali™ was evaluated on data from 206 patients with ED. Sensitivity, specificity values and Youden index were calculated for each category.
The 206 patients were diagnosed as follows: 31.5% restrictive disorder, 18.9% bulimic disorder, 40.8% hyperphagic disorder and 8.8% other ED. The sensitivity of Expali™ for restrictive, bulimic, hyperphagic and other unspecified ED were respectively: 76.9, 69.2, 79.7 and 16.7%. The Youden index was respectively 0.73, 0.57, 0.67 and 0.07.
In a SCOFF-positive ED population (at least two positive answers), the clinical algorithm Expali™ demonstrated good suitability by correctly classifying three of the four Broad Categories of eating disorders (restrictive, bulimic and hyperphagic disorder). It could be useful both to healthcare professionals and the general population to enable earlier detection and treatment of ED and to improve patient outcomes.
我们评估了一种临床算法（Expali™）的性能，该算法结合了 SCOFF 问卷的两个或更多阳性答案与体重指数（BMI），以识别源自 DSM-5 的四种广泛类别的进食障碍（ED）。
临床算法（Expali™）是从 BMI 水平与 SCOFF 问卷中至少两个阳性答案的 104 种组合中开发出来的。两位资深 ED 医生将每种组合分配到源自 DSM-5 的四种广泛类别的 ED 之一：限制障碍、贪食障碍、过食障碍和其他由 ED 临床医生诊断的未特指 ED。Expali™的性能在来自 206 名 ED 患者的数据上进行了评估。计算了每个类别的敏感性、特异性值和 Youden 指数。
206 名患者被诊断为：31.5%限制障碍、18.9%贪食障碍、40.8%过食障碍和 8.8%其他 ED。Expali™对限制、贪食、过食和其他未特指 ED 的敏感性分别为：76.9%、69.2%、79.7%和 16.7%。Youden 指数分别为 0.73、0.57、0.67 和 0.07。
在 SCOFF 阳性 ED 人群（至少有两个阳性答案）中，临床算法 Expali™通过正确分类四种广泛类别的 ED（限制、贪食和过食障碍）中的三种，表现出良好的适用性。它可能对医疗保健专业人员和普通人群都有用，以实现 ED 的早期检测和治疗，并改善患者的结局。
