Saluja Komal Verma, Pillai Drishya, Balachandran Prasad, Manoj S, Bhargava Gaurav
MBBS Student, Department of Medicine, Government Medical College, Kota, Rajasthan, India, Orcid: https://orcid.org/0009-0007-4936-5018.
Consultant Physician, Meditrina Hospital, Palakkad, Kerala INDIA, Corresponding Author, Orcid: https://orcid.org/0000-0002-1382-5920.
J Assoc Physicians India. 2025 May;73(5):14-18. doi: 10.59556/japi.73.0956.
Nonalcoholic fatty liver disease (NAFLD) and diabetes mellitus commonly coexist and act synergistically to drive worse prognosis for each other. Insulin resistance, obesity, and metaflammation are some of the important underlying pathologies. Despite the overwhelming prevalence of NAFLD in type 2 diabetic patients, there exists neither a proper screening protocol nor any specific management guideline for the same. With our study, we focus on three major diseases: diabetes, obesity, and NAFLD. We established collinearity among hemoglobin A1C (HbA1c), body mass index (BMI), and liver stiffness [kilopascals (kPa)] using multivariate linear regression. We were able to express kPa as a weighted average of the other two variables. Moreover, using correlation plots, we calculated critical values for both HbA1c and BMI as 6.57 and 26, respectively, beyond which the risk of liver fibrosis is accentuated significantly. We used the same cutoff values in our data to veritably prove that patients had increasing severity and frequency of hepatic steatosis/fibrosis as they exceeded the critical limit. Patients with both BMI and HbA1c below the cutoff had predominantly no/mild steatosis, while patients with both values exceeding the cutoff had predominantly severe steatosis/fibrosis on ultrasonographic imaging. Patients who had either of the two variables above the said limit had steatosis severity somewhere in between the two groups, highlighting that even one uncontrolled variable would significantly worsen the prognosis.
非酒精性脂肪性肝病(NAFLD)与糖尿病常并存,并相互协同作用,导致彼此预后更差。胰岛素抵抗、肥胖和代谢性炎症是一些重要的潜在病理状况。尽管NAFLD在2型糖尿病患者中极为普遍,但对于该病既没有合适的筛查方案,也没有任何具体的管理指南。在我们的研究中,我们关注三种主要疾病:糖尿病、肥胖和NAFLD。我们使用多元线性回归建立了糖化血红蛋白(HbA1c)、体重指数(BMI)和肝脏硬度[千帕斯卡(kPa)]之间的共线性。我们能够将kPa表示为其他两个变量的加权平均值。此外,通过相关性图,我们计算出HbA1c和BMI的临界值分别为6.57和26,超过这些值,肝纤维化风险会显著增加。我们在数据中使用相同的临界值来切实证明,患者超过临界值时,肝脂肪变性/纤维化的严重程度和发生率会增加。BMI和HbA1c均低于临界值的患者主要没有/仅有轻度脂肪变性,而两项值均超过临界值的患者在超声成像上主要有严重脂肪变性/纤维化。两个变量中有一个高于上述限值的患者,其脂肪变性严重程度介于两组之间,这表明即使一个变量未得到控制也会显著恶化预后。