The Association of Glomerular Filtration Rate with Coronary Artery Disease in Type 2 Diabetic Patients

Abstract

Objective: Diabetes mellitus is a chronic illness and adherence to medications is vital to manage the illness. The purpose of this study was to examine the prediction of medication adherence based on personality factors in a group of individuals with type 2 diabetes in Yasuj.
 Materials and Methods: One hundred twenty individuals with type 2 diabetes who visited health centers were selected for this study through convenience sampling. The participants completed the NEO-Five Factor Inventory and Medication Adherence Rating Scale (MARS). The data were analyzed by mean, standard deviation, and multiple regression analysis using SPSS software.
 Results: The results showed that among the big-five personality factors, only neuroticisms significantly predicted adherence to medications (β= -0.31, P-value< 0.003). Furthermore, the model explained only 19% of the variance in medication adherence (R2= 0.19, P-value< 0.01).
 Conclusion: This study indicated that a large proportion of patients with type 2 diabetes did not adhere to their medications. This study highlighted that the personality trait of neuroticism was important in predicting medication adherence in patients with type 2 diabetes.

Correlation between different levels and patterns of dyslipidemia and glomerular filtration rate in patients with type 2 diabetes: A cross‐sectional survey of a regional cohort

“…Lin et al reported that TC, LDL‐C, and non‐HDL‐C levels were higher at lower GFR levels than in the GFR≥90 mL/min/1.73 m 2 13 . Samimagham et al showed that among patients with T2D, patients with eGFR≤60 mL/min/1.73 m 2 had higher TG levels than eGFR>60 mL/min/1.73 m 2 14 . In contrast, Lin et al showed that among patients with T2D, patients with decreased eGFR had lower median LDL‐C than the higher eGFR group 16 .…”

“…Lin et al showed that LDL‐C levels had a positive correlation, and TG levels were negatively correlated with eGFR 16 . Samimagham et al reported an inverse correlation between eGFR and TG levels 14 . Hirano et al reported that eGFR was positively correlated with HDL‐C, and after adjustment, eGFR was negatively associated with TC and non‐HDL‐C 11 .…”

“…10 Limited studies have investigated the correlation between blood lipid levels and estimated glomerular filtration rate (eGFR), which served as a clinical indicator of kidney function in patients with T2D. [11][12][13][14][15][16] However, previous studies have focused on single dyslipidemia patterns, including high TG, high total cholesterol (TC), high LDL-C, and low HDL-C. Dyslipidemia patterns, such as high non-HDL lipoprotein cholesterol (non-HDL-C) and high atherogenic index of plasma (AIP), which are common among patients with T2D, 17 and their association with eGFR and different stages of CKD have not been well-studied. Furthermore, the relationship between serum lipid levels and different mixed dyslipidemia patterns with different stages of CKD in patients with T2D needs further investigation.…”

“…Limited studies have investigated the correlation between blood lipid levels and estimated glomerular filtration rate (eGFR), which served as a clinical indicator of kidney function in patients with T2D 11–16 . However, previous studies have focused on single dyslipidemia patterns, including high TG, high total cholesterol (TC), high LDL‐C, and low HDL‐C.…”

Estimation of reduction of glomerular filtration rate in renal colic patients

“…They believed that this is related to the narrow range of blood pressure among participants and these populations had normal blood pressure levels. But Samigham et al, demonstrated a significant association between history of hypertension and GFR<60 [20]. James et al, reported that lower GFR was associated with higher risks of acute kidney injury in patients with and without diabetes or hypertension [21].…”