Mahachai Nutthachoke, Washirasaksiri Chaiwat, Ariyakunaphan Pinyapat, Kositamongkol Chayanis, Sitasuwan Tullaya, Tinmanee Rungsima, Auesomwang Chonticha, Sayabovorn Naruemit, Chaisathaphol Thanet, Phisalprapa Pochamana, Charatcharoenwitthaya Phunchai, Srivanichakorn Weerachai
Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.
J Clin Med. 2023 Dec 11;12(24):7617. doi: 10.3390/jcm12247617.
Scoring systems for metabolic dysfunction-associated steatotic liver disease (MASLD) in individuals with prediabetes have not been extensively explored. This study aimed to investigate the prevalence of MASLD and to develop predictive tools for its detection in high cardiometabolic people with prediabetes. A cross-sectional study was conducted using baseline data from the prediabetes cohort. All participants underwent transient elastography to assess liver stiffness. MASLD was defined using a controlled attenuation parameter value > 275 dB/m and/or a liver stiffness measurement ≥ 7.0 kPa. Cases with secondary causes of hepatic steatosis were excluded. Out of 400 participants, 375 were included. The observed prevalence of MASLD in individuals with prediabetes was 35.7%. The most effective predictive model included FPG ≥ 110 mg/dL; HbA1c ≥ 6.0%; sex-specific cutoffs for HDL; ALT ≥ 30 IU/L; and BMI levels. This model demonstrated good predictive performance with an AUC of 0.80 (95% CI 0.73-0.86). At a cutoff value of 4.5, the sensitivity was 70.7%, the specificity was 72.3%, the PPV was 58.8%, and the NPV was 81.5%. Our predictive model is practical, easy to use, and relies on common parameters. The scoring system should aid clinicians in determining when further investigations of MASLD are warranted among individuals with prediabetes, especially in settings with limited resources.
对于糖尿病前期个体的代谢功能障碍相关脂肪性肝病(MASLD)评分系统尚未得到广泛研究。本研究旨在调查MASLD的患病率,并开发用于在高心血管代谢风险的糖尿病前期人群中检测该病的预测工具。利用糖尿病前期队列的基线数据进行了一项横断面研究。所有参与者均接受瞬时弹性成像以评估肝脏硬度。MASLD的定义为控制衰减参数值>275 dB/m和/或肝脏硬度测量值≥7.0 kPa。排除有肝脂肪变性继发原因的病例。400名参与者中,375名被纳入研究。糖尿病前期个体中MASLD的观察患病率为35.7%。最有效的预测模型包括空腹血糖(FPG)≥110 mg/dL;糖化血红蛋白(HbA1c)≥6.0%;高密度脂蛋白(HDL)的性别特异性临界值;谷丙转氨酶(ALT)≥30 IU/L;以及体重指数(BMI)水平。该模型显示出良好的预测性能,曲线下面积(AUC)为0.80(95%可信区间0.73 - 0.86)。在临界值为4.5时,敏感性为70.7%,特异性为72.3%,阳性预测值(PPV)为58.8%,阴性预测值(NPV)为81.5%。我们的预测模型实用、易于使用且依赖于常见参数。该评分系统应有助于临床医生确定在糖尿病前期个体中何时有必要对MASLD进行进一步检查,尤其是在资源有限的情况下。