Background: Obesity and type 2 diabetes (T2D) pose global health problems that continue to rise. A chronic low-grade inflammation and activation of the immune system are well established in both conditions. The presence of these factors can predict disease development and progression. Emerging evidence suggests that platelet–high density lipoprotein ratio (PHR) is a potential inflammatory marker. The purpose of this study was to investigate the relationship between PHR and T2D among obese patients. Methods: 203 patients with BMI ≥ 30 kg/m² participated in the study. Patients were categorized into two groups: non-diabetic obese and diabetic obese. Comorbidities, baseline characteristics, laboratory data, as well as PHR levels of the study groups were analyzed. Medians, risk assessment, and the diagnostic performance of PHR values were examined in both groups. Results: In obese patients, the median PHR were significantly increased in obese patients with T2D compared to non-diabetic obese (p < 0.0001). Furthermore, T2D obese with high PHR had a significantly higher FBG and HbA1c (p < 0.05). Although PHR was weakly yet significantly correlated with glycemic markers, ROC curve analysis of the PHR indicated an AUC of 0.700 (p < 0.0001) in predicting T2D in obese patients, and the cutoff value was 6.96, with a sensitivity and specificity of 53.4% and 76.1%, respectively. Moreover, increased PHR (OR = 4.77, p < 0.0001) carried a significantly higher risk for developing T2D in obese individuals. Conclusions: The PHR is a convenient and cost-effective marker that can reliably predict the presence of T2D in high-risk obese population.

Background: Cardiovascular risk in chronic kidney disease (CKD) remains high despite frequently normal conventional lipid parameters. The extent to which lipid patterns vary across CKD severity and metabolic complications remains incompletely characterized. Therefore, this study evaluated lipid patterns and their associations with renal function and CKD-related metabolic complications. Methods: This retrospective cross-sectional study included 229 CKD patients from the nephrology clinic at King Saud Medical City. Single-time-point laboratory data and clinical variables were extracted from medical records. Patients were stratified by KDIGO eGFR stage, uremia, and phosphate status. Lipid parameters were analyzed using nonparametric tests, multivariable regression, and ROC analysis. Results: Among 229 CKD patients, the most prevalent lipid abnormalities were low HDL-C (49.8%) and elevated remnant cholesterol (RC) (31.4%). HDL-C was reduced and RC increased with declining eGFR, while TC, LDL-C, and TG remained unchanged. In uremia, HDL-C remained reduced and RC increased, with additional reductions in TC and LDL-C, whereas TG did not differ. No significant lipid changes were observed with hyperphosphatemia. In multivariable analyses, HDL-C was positively associated with eGFR (β = 48.8, q = 0.003) and inversely associated with BUN (β = −14.3, q = 0.0014), while RC showed an inverse association with eGFR (β = −19.9, q = 0.0005) and a positive association with BUN (β = 3.37, q = 0.0315). These relationships remained independent of age, sex, BMI, smoking status, hypertension, and type 2 diabetes. ROC analysis further demonstrated the moderate discriminatory ability of HDL-C and RC for identifying CKD stages and uremia. Conclusions: Alterations in HDL-C and RC were independently associated with renal function and uremic status. These findings suggest that lipoprotein composition may reflect metabolic disturbances accompanying CKD progression.