Publications by authors named "Hakim Ben Younes"
Article Synopsis
- Researchers created the FAST Score, a prediction model for colorectal cancer (CRC) that uses simple factors like fecal haemoglobin concentration, age, and sex to enhance diagnosis in symptomatic patients.
- The model was validated through extensive studies involving over 5,500 patients, showing strong diagnostic accuracy with an AUC of 0.88 in the initial group and 0.91 in the validation group.
- The FAST Score effectively categorizes patients into high, intermediate, and low-risk groups for CRC, making it a practical tool for clinicians in assessing symptoms and prioritizing colonoscopy referrals.
Background: This study aimed to determine whether patients with lower abdominal symptoms can be investigated quickly using results of faecal haemoglobin concentration (f-Hb) measurements, and whether this test could form part of a diagnostic pathway for significant colorectal disease.
Methods: Nine hundred and nine consecutive patients referred from primary care for colonoscopy were invited: 507 submitted samples for f-Hb measurement with a quantitative faecal immunochemical test for haemoglobin (FIT) (HM-JACKarc, Kyowa-Medex, Japan) and a diagnostic colonoscopy was completed in 484 patients.
Results: Colorectal cancer (CRC), higher risk adenoma (HRA), inflammatory bowel disease (IBD) and/or colitis was found in 45 patients (9.
Accurate and timely clinical data are required for clinical and organisational purposes and is especially important for patient management, audit of surgical performance and the electronic health record. The recent introduction of computerised theatre management systems has enabled real-time (point-of-care) operative procedure coding by clinical staff. However the accuracy of these data is unknown.
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