Hernández Goretti, Quintero Enrique, Morales-Arraez Dalia, García Rayado Guillermo, Hijos-Mallada Gonzalo, Fernández-Fernández Nereida, de Castro-Parga Luisa, Álvarez-Sánchez María Victoria, Olano Carolina, Rodríguez-Alcalde Daniel, Amaral-González Carla, Alonso-Abreu Inmaculada, Nicolás-Pérez David, Carrillo-Palau Marta, González-Dávila Enrique, Gimeno-García Antonio Z
Servicio de Aparato Digestivo, Hospital Universitario de Canarias, Santa Cruz de Tenerife, Spain.
Departamento de Medicina Interna, Instituto Universitario de Tecnologías Biomédicas (ITB) & Centro de Investigación Biomédica de Canarias (CIBICAN), Universidad de La Laguna, San Cristóbal de La Laguna, Spain.
Front Med (Lausanne). 2024 Jun 25;11:1407812. doi: 10.3389/fmed.2024.1407812. eCollection 2024.
In patients with iron deficiency anaemia (IDA), the diagnostic yield of gastroscopy and colonoscopy (bidirectional endoscopy) in detecting neoplastic lesions is low. This study aimed to develop and validate a faecal immunochemical test (FIT)-based model to optimise the work-up of patients with IDA.
Outpatients with IDA were enrolled in a prospective, multicentre study from April 2016 to October 2019. One FIT was performed before bidirectional endoscopy. Significant gastrointestinal lesions were recorded and a combined model developed with variables that were independently associated with significant colorectal lesions in the multivariate analysis. The model cut-off was selected to provide a sensitivity of at least 95% for colorectal cancer (CRC) detection, and its performance was compared to different FIT cut-offs. The data set was randomly split into two groups (developed and validation cohorts). An online calculator was developed for clinical application.
The development and validation cohorts included 373 and 160 patients, respectively. The developed model included FIT value, age, and sex. In the development and validation cohorts, a model cut-off of 0.1375 provided a negative predictive value of 98.1 and 96.7% for CRC and 90.7 and 88.3% for significant colorectal lesions, respectively. This combined model reduced the rate of missed significant colorectal lesions compared to FIT alone and could have avoided more than one-fourth of colonoscopies.
The FIT-based combined model developed in this study may serve as a useful diagnostic tool to triage IDA patients for early endoscopic referral, resulting in considerable reduction of unnecessary colonoscopies.
在缺铁性贫血(IDA)患者中,胃镜和结肠镜检查(双向内镜检查)检测肿瘤性病变的诊断率较低。本研究旨在开发并验证一种基于粪便免疫化学检测(FIT)的模型,以优化IDA患者的检查流程。
2016年4月至2019年10月,IDA门诊患者被纳入一项前瞻性多中心研究。在双向内镜检查前进行一次FIT检测。记录显著的胃肠道病变,并在多变量分析中使用与显著结直肠病变独立相关的变量开发一个联合模型。选择模型临界值以提供至少95%的结直肠癌(CRC)检测灵敏度,并将其性能与不同的FIT临界值进行比较。数据集被随机分为两组(开发队列和验证队列)。开发了一个在线计算器用于临床应用。
开发队列和验证队列分别包括373例和160例患者。开发的模型包括FIT值、年龄和性别。在开发队列和验证队列中,模型临界值为0.1375时,CRC的阴性预测值分别为98.1%和96.