Context Nonalcoholic fatty liver disease (NAFLD) is a metabolical disorder and can lead to liver fibrosis. Because it is commonly seen, several noninvasive scores (NS) have been validated to identify high-risk patients. Patients with NAFLD have been shown to have higher serum angiopoietin-like protein-8 (ANGPTL-8) levels. Objective The risk of NAFLD is known insufficiently in acromegaly. Moreover, the utility of the NS and the link between NAFLD and ANGPTL-8 in acromegaly is unknown. Methods Thirty-two patients with acromegaly (n = 15, active [AA] and n = 17, controlled acromegaly [CA]) and 19 healthy controls were included. Magnetic resonance imaging (MRI)-proton density fat fraction (PDFF) was used to evaluate hepatic steatosis, and magnetic resonance elastography to evaluate liver stiffness measurement. ANGPTL-8 levels were measured with ELISA. Results Median liver MRI-PDFF and NAFLD prevalence in AA were lower than in CA (P = .026 and P < .001, respectively). Median magnetic resonance elastography-liver stiffness measurement were similar across groups. Of the NS, visceral adiposity index, fatty liver index, hepatic steatosis index, and triglyceride-glucose index (TyG) all showed positive correlation with the liver MRI-PDFF in the control group. However, only TyG significantly correlated with liver fat in the AA and CA groups. There was no correlation between traditional NAFLD risk factors (body mass index, waist circumference, C-reactive protein, homeostasis model assessment for insulin resistance, visceral adipose tissue) and liver MRI-PDFF in the AA and CA. Patients with acromegaly with NAFLD had lower GH, IGF-1, and ANGPTL-8 levels than in those without NAFLD (P = .025, P = .011, and P = .036, respectively). Conclusion Active acromegaly may protect from NAFLD because of high GH. In patients with acromegaly, NAFLD risk cannot be explained with classical risk factors; hence, additional risk factors must be identified. TyG is the best score to evaluate NAFLD risk. Lower ANGPTL-8 in patients with acromegaly and NAFLD implies this hormone may be raised because of insulin resistance rather than being a cause for NAFLD.

Background/aim: The objectives were to define the distribution of rheumatic diseases in patients with erythrocyte sedimentation rate (ESR) ≥ 100 mm/h and to find variables that can differentiate main study groups from others. Materials and methods: Charts of patients admitted with ESR ≥ 100 mm/h between 2015 and 2020 were reviewed. Patients were divided into four diagnostic groups based on etiology: infection (without a rheumatic diagnosis), oncologic (without a rheumatic diagnosis), rheumatic, and no definitive diagnosis. Patients with the rheumatic diagnosis were divided into three main study groups: those who had been recently diagnosed with a rheumatic disease, those who had a flare-up of the rheumatic disease, and those who had an infection in the course of the rheumatic disease. Appropriate statistical tests and decision-tree analysis by R and ROC curve were applied. p < 0.05 was considered statistically significant.Results: A total of 2442 patients (311 (12.7%) with rheumatic disorders) were identified. Eightysix (27.7%) patients had newly diagnosed rheumatic disease (41; 47.7% with vasculitis); 111 (35.7%) had rheumatic disease flare-up (92; 82.9% with inflammatory arthritis); and 114 (36.6%) had coexisting infection (61; 53.5% inflammatory arthritis). Irrespective of the study group, the most commonly encountered diseases were rheumatoid arthritis and spondyloarthritis. Serum albumin levels (2.78 mg/dL) and platelet count (290/mm6 ) were valuable to discriminate disease flare-up and coexisting infection; moreover, high ferritin levels were accounted for adult-onset Still disease among patients with newly diagnosed rheumatic diseases. Conclusion: Extremely high ESR is still a valuable clinical parameter, and rheumatic causes are significant besides malignancy and infections. Albumin, thrombocyte count, and ferritin are other tests that clinicians should consider when caring for a patient with ESR ≥ 100 mm/h who has rheumatic disease.