LUO Xiaoyan, WANG Yuanzhi, YU Xiaoping, TU Xiamin, PAN Yang, LU Guotao, WANG Dan, HU Lianghao, XIAO Weiming. Application value of a new predictive scoring system for fatty pancreas based on endoscopic ultrasound diagnosis[J]. Journal of Clinical Medicine in Practice, 2022, 26(20): 1-4, 9. DOI: 10.7619/jcmp.20222448
Citation: LUO Xiaoyan, WANG Yuanzhi, YU Xiaoping, TU Xiamin, PAN Yang, LU Guotao, WANG Dan, HU Lianghao, XIAO Weiming. Application value of a new predictive scoring system for fatty pancreas based on endoscopic ultrasound diagnosis[J]. Journal of Clinical Medicine in Practice, 2022, 26(20): 1-4, 9. DOI: 10.7619/jcmp.20222448

Application value of a new predictive scoring system for fatty pancreas based on endoscopic ultrasound diagnosis

  • Objective To explore the feasibility of a new scoring system for the clinical diagnosis of the fatty pancreas(FP).
    Methods From April 2021 to June 2022, 55 patients who underwent endoscopic ultrasound (EUS) diagnosis in the Gastroenterology Center of the Affiliated Hospital of Yangzhou University were selected as research objects. The patients were divided into FP group and non-FP group by endoscopic ultrasound. The general data and biochemical parameters of the two groups were compared. Fatty liver, hypertriglyceridemia and abdominal obesity were used to be improved scoring system. Receiver operating characteristic (ROC) curve was used to evaluate the feasibility of the new improved scoring system in predicting FP.
    Results A total of 55 subjects were included, including 20 in the FP group and 35 in the non-FP group. The abdominal circumference, body mass index (BMI), proportion of hyperlipidemia and prevalence of fatty liver in the FP group were significantly more or higher than those in the non-FP group(P < 0.05). Triglyceride, alanine aminotransferase, aspartate aminotransferase in the FP group were significantly higher than those in the non-FP group, and high-density lipoprotein was significantly lower than that in the non-FP group (P < 0.05). The average number of FP combined with metabolic syndrome parameters and the proportion of the number of metabolic syndrome parameters ≥ 3 in the FP group were significantly more or higher than those in the non-FP group (P < 0.05). After improvement, the efficiency of the new scoring system in predicting FP was significantly improved (AUC increased from 0.651 to 0.731).
    Conclusion The improved scoring system can be used as a simple tool to predict FP in clinical work.
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