Ulcerative colitis is a chronic idiopathic disease that causes inflammation of the colon and rectum, progressing with relapses and remissions. Systemic inflammatory index (SII) and pan-immune inflammatory value (PIV) are newly developed biomarkers. There are many studies in the literature showing the relationship between SII and PIV with malignancies and inflammatory diseases. In this study we aimed to determine the relationship between SII and PIV with the activity of ulcerative colitis. 146 Ulcerative colitis patients were retrospectively investigated by the time of diagnosis based on clinical, endoscopic and histolopathological findings. Patients and healthy individuals SII and PIV levels were calculated and compared with each other; and Mayo, DUBLIN, UCIES endoscopic subscores of patients were also obtained. Roc curve analysis were used to determine the cut-off value for PIV. SII (468.6 ± 203.5 vs. 823.1 ± 555.1; p< 0.001), PIV (288.2 ± 159.9 vs. 912.2 ± 924.1; p < 0.001), were statistically different between groups. PIV (OR: 1.157; (1.041-1.432), p = 0.036), was also observed to be the independent predictor of ulcerative colitis. The best cut off value of PIV in the prediction of ulcerative colitis was ≥ 506 with 89.6% sensitivity and 63.7% specificity (AUC = 0.812; 95% CI 0.763-0.854, p < 0.001). Based on the results of our study, we found that SII and PIV levels were significantly increased in ulcerative colitis patients at the time of diagnosis and were associated with disease severity in the endoscopic scores RACHMILEWITZ, UCEIS and DUBLIN scores, but not for MES score.

Objectives: Prediabetes is a global health problem due to its adverse effects on glucose metabolism. Prediabetes also triggers many inflammatory mechanisms that can lead to vascular and molecular damage of various systems and organs. Pan-immun inflammatory level (PIV) is a new biomarker that is considered with many ianflammatory conditions. Epicardial adipose tissue (EAT) is also considered an endocrine organ, which has been shown in many studies to be related to inflammation. There are studies showing that inflammatory parameters and epicardial adipose tissue are affected in diabetic patients. However, no such research has been conducted on prediabetic patients. In this study, we aimed to investigate inflammatory parameters and their relationship with epicardial adipose tissue in prediabetic patients. Methods: 220 patients with prediabetes and 96 healthy controls were compared in the study regarding laboratory and demographic parameters and echocardiographic evaluations. Results: There were significant differences between the groups in various parameters including epicardial adipose tissue (p < 0.001), NLR (p = 0.011); SII (p = 0.003); PIV (p < 0.001), In prediabetic patients, epicardial adipose tissue was correlated with PIV (r: 0.490; p < 0.001), SII (r: 0.248; p < 0.001), and NLR (r: 0.234; p: 0.001). PIV and presence of prediabetes were independent predictors of epicardial adipose tissue. Conclusion: In this study, we observed that the presence of prediabetes is associated with EAT thickness. Again, in this patient group, we thought that PIV could be an easily obtainable parameter that could indicate an increase in EAT thickness.

This study investigated behavioural and psychosocial correlates of sleep disturbances and depressive symptoms in older adults with metabolic syndrome (MetS). In this cross-sectional study, 535 community-dwelling adults aged ⩾ 65 years (315 MetS; 220 controls) were recruited from outpatient clinics. Sleep quality and depressive symptoms were assessed using the Pittsburgh Sleep Quality Index and Geriatric Depression Scale-15. Functional, nutritional, cognitive, and lifestyle factors were evaluated. Multivariable logistic regression identified independent predictors, and model performance was assessed using receiver operating characteristic analysis with bootstrap validation. Poor sleep quality and depressive symptoms were more prevalent in participants with MetS. Poor sleep quality was independently associated with depressive symptoms (OR 4.97, 95% CI 3.32–7.46), while depressive symptoms were independently associated with poor sleep quality (OR 5.13, 95% CI 3.42–7.67). MetS and female sex were identified as independent risk factors, whereas higher nutritional status and regular exercise were protective. Sleep disturbances and depressive symptoms are closely interconnected in older adults with MetS suggesting that behavioural and psychosocial factors should be considered in future research and clinical assessment.