scholarly journals Screening for type 2 diabetes in a multiethnic setting using known risk factors to identify those at high risk: a cross-sectional study

2010 ◽  
pp. 837 ◽  
Author(s):  
Gray
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
High Risk ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

Clinical Features of And Risk Factors for Normoalbuminuric Diabetic Kidney Disease In Hospitalized Patients With Type 2 Diabetes Mellitus: A Retrospective Cross-Sectional Study

2021 ◽  
Author(s):  
Qi Dai ◽  
Nan Chen ◽  
Ling Zeng ◽  
Xin-Jie Lin ◽  
Feng-Xiu Jiang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Kidney Disease ◽  
Cross Sectional Study ◽  
Regression Analyses ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background: Normoalbuminuric diabetic kidney disease (NADKD) is a newly defined DKD, the clinical features and pathogenesis for which are still being understood. This study aimed to investigate the features and risk factors for NADKD in patients with type 2 diabetes mellitus (T2DM).Methods: A retrospective cross-sectional study was conducted. The related clinical and laboratory data of patients with T2DM hospitalized between August 2012 and January 2020 were collected for statistical analysis. We classified the patients with T2DM into four groups on the basis of the presence or absence of albuminuria and reduced estimated glomerular filtration rate (eGFR). Analysis of variance, the Kruskal–Wallis test, and the chi-square test were used to compare the groups. Binary logistic regression analyses with a forward stepwise method were performed to explore the risk factors for renal dysfunction in hospitalized patients with normoalbuminuric T2DM.Results: Among the 1620 patients evaluated, 500 (30.9%) had DKD, of which 9% had NADKD. The prevalence of stroke, cardiovascular events, carotid plaque, and peripheral arterial disease in NADKD was significantly higher than in a non-DKD control group (normoalbuminuric T2DM patients with eGFR of ≥60 ml/min/1.73 m2). Regression analyses revealed that three significant independent factors were associated with NADKD: age (OR = 1.089, confidence interval [CI] 95% [1.055−1.123], p < 0.001), previous use of renin−angiotensin system inhibitors (RASIs; OR = 2.330, CI 95% [1.212−4.481], p = 0.011), and glycated hemoglobin (HbA1c; OR = 0.839, CI 95% [0.716−0.983], p = 0.03). Conclusions: NADKD is mainly associated with macrovascular rather than microvascular complications. NADKD is more common in patients with normoalbuminuric T2DM with older age, previous use of RASIs, and good glycemic control.

scholarly journals DISTRIBUTION PATTERNS AND RISK FACTORS OF DYSLIPIDEMIA IN PATIENTS WITH TYPE 2 DIABETES MELLITUS: A CROSS-SECTIONAL STUDY IN BOGOR, INDONESIA

2020 ◽  
pp. 5-8
Author(s):  
SARASWATI PRADIPTA ◽  
HERI WIBOWO ◽  
DANTE SAKSONO HARBUWONO ◽  
EKOWATI RAHAJENG ◽  
RAHMA AYU LARASATI ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional

Objective: Type 2 diabetes mellitus (T2DM) patients tend to have abnormal lipid profiles, explaining the association between elevated cholesterol andtriglyceride levels in diabetic patients and coronary heart disease. This study aims to evaluate how the common risk factors for dyslipidemia affectthe lipid profile of diabetic patients and to determine which factors can be used as predictors for the occurrence of dyslipidemia in T2DM patients.Methods: A total of 238 diabetic patients (63 male and 175 female; age: 31–70 years) were enrolled in this cross-sectional study. All of them hadundergone regular examinations in cohort studies on risk factors for non-communicable diseases conducted by the Ministry of Health in Bogorbetween December 2017 and January 2018.Results: The result found that age differences did not affect lipid profile levels, and the females had higher mean values of body mass index (p<0.001),total cholesterol (TC) (p<0.05), and high-density lipoprotein (HDL) (p<0.001) than the males. The most common occurrences of dyslipidemia werehigh TC level (57.1%), followed by high low-density lipoprotein (LDL) level (47.1%), high triglyceride level (37.4%), and low HDL level (16.4%). Beingoverweight was found to be the best predictor of dyslipidemia.Conclusion: The results of this study suggest that in T2DM patients, sex affects TC and HDL levels, whereas age does not exert a significant effect onthe lipid profiles. In addition, poor glycemic control, hypertension, and obesity may serve as predictors of dyslipidemia in T2DM patients.

Sign in / Sign up

Export Citation Format

Share Document