scholarly journals Proteinuria Is Associated with Carotid Artery Atherosclerosis in Non-Albuminuric Type 2 Diabetes: A Cross-Sectional Study

2020 ◽  
Vol 9 (1) ◽  
pp. 136 ◽  
Author(s):  
Jaehyun Bae ◽  
Yong-ho Lee ◽  
Eun Seok Kang ◽  
Bong-Soo Cha ◽  
Byung-Wan Lee

The association of specific urinary proteins other than albumin with cardiovascular (CV) outcomes in patients with type 2 diabetes (T2D) has been shown. In this respect, CV outcomes may differ in non-albuminuric T2D patients who were considered as a low risk group, according to the presence of proteinuria. We investigated the association between proteinuria and atherosclerosis assessed by carotid artery intima-media thickness (CIMT) in non-albuminuric T2D patients. 2047 T2D patients whose urine albumin-to-creatinine ratio was below 30 mg/g were recruited and classified into a non-proteinuria (NP, uPCR < 150 mg/g, n = 1865) group and a non-albuminuric proteinuria (NAP, uPCR ≥ 150 mg/g, n = 182) group. CIMT was compared between the two groups and logistic regression analysis was conducted to verify whether proteinuria could predict deteriorated CIMT status. In this cross-sectional study, mean CIMT of the NAP group were significantly thicker than those of the NP group (0.73 ± 0.16 vs. 0.70 ± 0.14, p = 0.016). The presence of proteinuria is associated with deteriorated CIMT after the adjustment for conventional risk factors (odds ratio, 2.342; 95% confidence interval, 1.082–5.070, p = 0.030) in regression analysis. We postulated that the measurement of urinary protein in conjunction with albumin might be helpful for predicting atherosclerosis, especially for non-albuminuric patients.

2021 ◽  
Author(s):  
Wu Chao ◽  
Ge Yiling ◽  
Zhang Xinyan ◽  
Liu Mingchao ◽  
Heng Chunni ◽  
...  

Abstract Purpose This study aims to explore the incidence of hypoglycemia in patients with type 2 diabetes mellitus (T2DM) and the influence of hypoglycemia on the specific quality of life in T2DM patients.Methods It was a comparative cross-sectional study consisting of 519 T2DM patients in Xi'an, China and patients were investigated by self-reported hypoglycemia and specific quality of life questionnaires during September 2019 to January 2020. Descriptive analysis, t-test, Chi-square test, hierarchical regression analysis and stepwise multiple regression analysis were used to assess the influence of hypoglycemia on the specific quality of life. Results The incidence of hypoglycemia in T2DM patients was 32.18%. The mean score of specific quality of life in diabetes without hypoglycemia was 57.33±15.36 and was 61.56±17.50 in those with hypoglycemia, which indicated that hypoglycemia had a serious impact on the quality of life diabetics (t=-5.172, p=0.000). In the Univariate analysis of specific quality of life, age, education background, marital status, living status, duration of diabetes, monthly income per capita were independent and significant factors associated with specific quality of life of two groups of T2DM patients (P<0.05). In the hierarchical regression analysis, the duration of the diabetes more than 11 years and the frequency of hypoglycemia more than 6 times in half a year entered the equation of specific quality of life of 519 diabetics respectively (P<0.001). In multiple linear regression analysis, age, marital status and income both entered the regression equation of quality of life of the two groups (P<0.05).Conclusion Hypoglycemia will have a serious impact on the quality of life of T2DM patients. In order to improve the living quality in diabetics, effective measurements should be taken to strengthen the management of blood glucose and avoid hypoglycemia.


2017 ◽  
Vol 30 (3) ◽  
pp. 197 ◽  
Author(s):  
Inês Rosendo ◽  
Luiz Miguel Santiago ◽  
Margarida Marques

Introduction: Determine whether socio-demographic, habits and risk factors are associated with a better tensional control in type 2 diabetes in primary care patients in order to identify a specific target population for compensatory interventions improving diabetes control and reducing its morbi-mortality.Material and Methods: Cross-sectional study in primary care. Randomized type 2 diabetes patient data collection by their volunteer family doctors, proportionally stratified from the 5 Portuguese continental regions. Variables: blood pressure, age, gender, education, diabetes duration, HbA1c, smoking habits, weight, waist circumference, physical activity and adherence to medication. Bivariate and logistic regression analysis to evaluate each measured variable’s independent association with uncontrolled blood pressure (≥ 140/90).Results: 709 patients were included in the study, 60.2% men, mean age 66.12 ± 10.47 years. In logistic regression analysis, the factors independently associated to uncontrolled BP were lower education (p = 0.014), shorter diabetes duration (p = 0.002), higher waist circumference (p < 0.001), higher pulse pressure (p < 0.001), higher physical activity level (p = 0.043) and being a smoker (p < 0.001).Discussion: The main limitations are the fact that the sample was not totaly random and included only primary care patients, a possible inter-observer bias and being a cross-sectional study, thus not providing information on temporal relation or causality.Conclusion: The sub-group of people with diabetes identified to have worse tensional control should have a different and more intensive approach in primary care. We recommend further longitudinal and population based confirmatory research.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Chao Wu ◽  
Yi-Ling Ge ◽  
Xin-Yan Zhang ◽  
Ming-Chao Liu ◽  
Chun-Ni Heng ◽  
...  

Abstract Purpose This study aims to explore the incidence of hypoglycemia in patients with type 2 diabetes mellitus (T2DM) and the influence of hypoglycemia on the specific quality of life in T2DM patients. Methods It was a comparative cross-sectional study consisting of 519 T2DM patients in Xi'an, China and patients were investigated by self-reported hypoglycemia and specific quality of life questionnaires from September 2019 to January 2020. Descriptive analysis, t-test, Chi-square test, hierarchical regression analysis and stepwise multiple regression analysis were applied to assess the influence of hypoglycemia on the specific quality of life. Results The incidence of hypoglycemia in T2DM patients was 32.18%. The mean score of specific quality of life in diabetes without hypoglycemia was 57.33 ± 15.36 and was 61.56 ± 17.50 in those with hypoglycemia, which indicated that hypoglycemia had a serious impact on the quality of life of diabetics (t = − 5.172, p = 0.000). In the Univariate analysis of specific quality of life, age, education background, marital status, living status, duration of diabetes, monthly income per capita were independent and significant factors associated with specific quality of life of two groups of T2DM patients (p < 0.05). In the hierarchical regression analysis, the duration of the diabetes more than 11 years and the frequency of hypoglycemia more than 6 times in half a year entered the equation of specific quality of life of 519 diabetics respectively (p < 0.001). In multiple linear regression analysis, age, marital status and income all entered the regression equation of quality of life of the two groups (p < 0.05). Conclusion Hypoglycemia will have a serious impact on the quality of life of T2DM patients. In order to improve the living quality in diabetics, effective measurements should be taken to strengthen the management of blood glucose and to avoid hypoglycemia.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yan Guo ◽  
Yingfang Wang ◽  
Feng Chen ◽  
Jiabei Wang ◽  
Difei Wang

Aims. Previous evidence has demonstrated an increased fracture risk among the population with type 2 diabetes mellitus (T2DM). This study investigated the prevalence of bone fractures in elderly subjects (with and without type 2 diabetes) and identified any fracture risk factors, especially the risk factors for common known fractures in particular diabetic populations. Methods. This cross-sectional study was conducted with community-dwelling people over 60 years old in nine communities from the city of Shenyang, which is the capital of Northeast China’s Liaoning Province. A total of 3430 elderly adults (2201 females, mean±standard deviation age 68.16±6.1 years; 1229 males, 69.16±6.7 years) were included. Our study measured the heel bone mineral density (BMD) and used the timed “up and go” (TUG) test and other indicators. In addition, we performed logistic regression analysis to explore the risk factors for fractures in the general population and the diabetic population and to analyze the differences. Results. The results revealed that a total of 201 elderly persons (5.8%), with an average age of 70.05±6.54 years, suffered from a history of fragility fractures, which affected more females (74.6%) than males (p=0.001). The prevalence of fractures in the T2DM population was 7.3%, which was much higher than the 5.2% in non-T2DM population (p<0.05). In the non-T2DM population, the BMD was lower and the TUG time was longer in the fracture group than in the nonfracture group (p<0.001). However, in the T2DM population, the BMD and TUG values were similar between the fracture group and the nonfracture group (p>0.05). Logistic regression analysis showed that the female sex (OR 1.835), TUG time>10.2 s (OR 1.602), and T‐score≤−2.5 (OR 1.750) were independent risk factors for fragility fractures in the non-T2DM population, but they were not risk factors in the T2DM population. Conclusions. This study found that low BMD and slow TUG time were independent risk factors for fractures in non-T2DM patients, while no associations were found in the T2DM population. Patients with T2DM have a higher risk for fractures even when they have sufficient BMD and a short TUG time. TUG and BMD underestimated the risk for fractures in the T2DM population.


2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Carlos Roberto Moraes de Andrade ◽  
Eliete Leão Clemente Silva ◽  
Maria de Fátima Bevilaqua da Matta ◽  
Marcia Bueno Castier ◽  
Maria Luiza Garcia Rosa ◽  
...  

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2393-PUB
Author(s):  
KENICHIRO TAKAHASHI ◽  
MINORI SHINODA ◽  
RIKA SAKAMOTO ◽  
JUN SUZUKI ◽  
TADASHI YAMAKAWA ◽  
...  

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