Balci Idil Ceren, Haciagaoglu Nazli, Oner Can, Cetin Huseyin, Simsek Engin Ersin
Department of Family Medicine, University of Health Sciences, Kartal Dr. Lutfi Kirdar City Hospital, Kartal, Istanbul, Turkiye.
J Coll Physicians Surg Pak. 2023 Apr;33(4):390-395. doi: 10.29271/jcpsp.2023.04.390.
To identify the presence of MAFLD (metabolic associated fatty liver disease) with some non-invasive screening methods and the factors affecting in patients with metabolic dysfunction.
A cross-sectional study. Place and Duration of the Study: University of Health Sciences, Kartal Dr. Lutfi Kirdar City Hospital, Istanbul, Turkiye, from March to June 2021.
This study included 233 participants with metabolic disease over the age of 18 who applied to family medicine clinics. The participants' sociodemographic data, chronic disease status, biochemical parameters, waist circumference, weight, height, body mass index, and presence of steatosis by ultrasonography were recorded. The risk of developing hepatic fibrosis and steatosis was calculated with the non-alcoholic fatty liver disease liver fat score (NAFLD-LFS), hepatic steatosis index (HSI), fatty liver index (FLI), fibrosis-4 index (FIB-4), NAFLD fibrosis score (NAFLD-FS), and aspartate aminotransaminase to platelet ratio index (APRI). The conclusions were evaluated with SPSS.
According to the diagnostic criteria, MAFLD was detected in 58.4% of the participants. Statistically significant difference was found between FLI, HSI, NAFLD-LFS and MAFLD (p<0.001). According to the steatosis index risk groups of the participants, 64.4% - 89.7% were found to be high-risk. Steatosis was confirmed by ultrasonography in 63.6% - 77.8% of those at high-risk for index steatosis. The statistically significant difference was found between hypertension, diabetes mellitus, hyperlipidemia, metabolic syndrome, obesity, and MAFLD (p=0.039, p<0.001, p<0.001, p<0.001, and p=0.011, respectively).
Using non-invasive screening methods for steatosis can be clinically useful in detecting patients at risk for steatosis, and these methods are applicable in predicting MAFLD.
NAFLD, Fatty liver ındex, Hepatic steatosis index, MAFLD, Steatosis.
采用一些非侵入性筛查方法确定代谢功能障碍患者中代谢相关脂肪性肝病(MAFLD)的存在情况及影响因素。
横断面研究。研究地点和时间:土耳其伊斯坦布尔健康科学大学卡尔塔尔·卢特菲·基尔达尔市立医院,2021年3月至6月。
本研究纳入了233名年龄在18岁以上、到家庭医学诊所就诊的代谢性疾病患者。记录了参与者的社会人口统计学数据、慢性病状况、生化参数、腰围、体重、身高、体重指数以及超声检查的脂肪变性情况。使用非酒精性脂肪性肝病肝脏脂肪评分(NAFLD-LFS)、肝脏脂肪变性指数(HSI)、脂肪肝指数(FLI)、纤维化-4指数(FIB-4)、NAFLD纤维化评分(NAFLD-FS)和天冬氨酸氨基转移酶与血小板比值指数(APRI)计算发生肝纤维化和脂肪变性的风险。结果采用SPSS进行评估。
根据诊断标准,58.4%的参与者检测出MAFLD。FLI、HSI、NAFLD-LFS与MAFLD之间存在统计学显著差异(p<0.001)。根据参与者的脂肪变性指数风险分组,64.4% - 89.7%为高危组。在指数性脂肪变性高危人群中,63.6% - 77.8%经超声检查证实存在脂肪变性。高血压、糖尿病、高脂血症、代谢综合征、肥胖与MAFLD之间存在统计学显著差异(分别为p=0.039、p<0.001、p<0.001、p<0.001和p=0.011)。
使用非侵入性筛查方法检测脂肪变性对发现脂肪变性风险患者具有临床实用性,且这些方法适用于预测MAFLD。
非酒精性脂肪性肝病、脂肪肝指数、肝脏脂肪变性指数、MAFLD、脂肪变性