scholarly journals Dyslipidemia in Type 2 Diabetes Mellitus Patients With Poor Glycemic Control: Relationship Between HbA1c and Lipid Profile.

Author(s):  
Huiwen Xu ◽  
Shuang Qiu ◽  
Xiaodan Yuan ◽  
Yan Zou ◽  
En Takashi ◽  
...  

Abstract Aims: This study identified the lipid profile across a full range of poor glycemic control and the association between lipid profiles with different specific glycated hemoglobin (HbA1c) cutoffs in patients with type 2 diabetes (T2DM). Methods: A total of 1183 T2DM patients with poor glycemic control (HbA1c>7%) selected through convenience sampling in three hospitals of Jiangsu province were surveyed during April 2018 and July 2019. Dyslipidemia was defined according to criteria of the Third Report of the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III).Results: The prevalence of dyslipidemia was 55.2 % overall. Of 1183 subjects, 13.0% had high total cholesterol (TC), 33.1% had low high density lipoprotein cholesterol (HDL-C), 9.9% had high low density lipoprotein cholesterol (LDL-C), and 28.4% had high triglycerides (TG) concentrations. There was an increase in frequency of dyslipidemia in patients with different cutoff values of HbA1c (P<0.05). The prevalence of high TC was closely related with different cutoff values of HbA1c (adjusted OR =1.77, 2.56 3.82, respectively). Patients with HbA1c values 9%≤HbA1c<11% and HbA1c≥13% had significantly higher prevalence of dyslipidemia compared with the patients who had 7≤HbA1c<9%.Conclusion: T2DM patients with 9%≤HbA1c<11% and HbA1c≥13% tend to have moderate and severe dyslipidemia respectively, suggesting the importance of glycemic control in normalizing dyslipidemia.

2020 ◽  
Author(s):  
lin liu ◽  
Huiwen Xu ◽  
Shuang Qiu ◽  
Xiaodan Yuan ◽  
Pinting Zhu ◽  
...  

Abstract BackgroundCcompared with HbA1c<7% ,T2DM patients with HbA1c≥7% had significantly higher levels of lipid profile, however, it is unknown whether there was a linear and significant increase levels of lipid profile associated with HbA1c value of ≥7%. This study identified the lipid profile across a full range of poor glycemic control and the association between lipid profiles with different specific HbA1c cutoffs.MethodsA total of 1183 type 2 diabetes patients with poor glycemic control (HbA1c>7%) selected through convenience sampling in three hospitals of Jiangsu province were surveyed. Dyslipidemia was defined according to criteria of the Third Report of the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III). ResultsThe prevalence of dyslipidemia was 55.2 % overall. Of 1183 subjects, 13.0% had high TC, 33.1% had low HDL-C, 9.9% had high LDL-C, and 28.4% had high TG concentrations. There was an increase in frequency of dyslipidemia in patients with different cutoff values of HbA1c (P<0.05).The prevalence of high TC was closely related with different cutoff values of HbA1c (adjusted OR =1.77, 2.56 3.82, respectively). Patients with HbA1c values 9%≤HbA1c<11% and HbA1c≥13% had significantly higher prevalence of dyslipidemia compared with the patients who had 7≤HbA1c<9%.ConclusionDiabetic patients with 9%≤HbA1c<11% and HbA1c≥13% tend to have moderate and severe dyslipidemia respectively and suggest the importance of glycemic control in normalizing dyslipidemia.


2017 ◽  
Vol 22 (4) ◽  
pp. 798-804 ◽  
Author(s):  
Reyhaneh Shokoohi ◽  
Saeed Kianbakht ◽  
Mohammad Faramarzi ◽  
Masoud Rahmanian ◽  
Farzaneh Nabati ◽  
...  

The present study was conducted to explore the efficacy and safety of a herbal combination in the treatment of women with hyperlipidemic type 2 diabetes. The herbal combination capsule (600 mg) contained Terminalia chebula fruit extract (200 mg), Commiphora mukul (200 mg), and Commiphora myrrha oleo-gum-resin (200 mg), and the placebo capsule contained 600 mg toast powder. The patients in one group took the herbal combination and those in the other group took placebo capsules 3 times a day for 3 months. In the herbal combination–treated patients, the fasting blood glucose, total cholesterol, and low-density lipoprotein cholesterol levels were decreased and hidh-density lipoprotein cholesterol levels was increased significantly at the endpoint compared with the placebo and baseline. Other blood parameters such as glycosylated hemoglobin, triglyceride, blood urea nitrogen, creatinine, SGOT, and SGPT levels were not significantly changed after 3 months in both groups. In conclusion, the herbal combination improves glycemic control and lipid profile in women with hyperlipidemic type 2 diabetes without any adverse events.


2020 ◽  
Author(s):  
Liliana Fonseca ◽  
Sílvia Paredes ◽  
Helena Ramos ◽  
José Carlos Oliveira ◽  
Isabel Palma

Abstract Purpose: Lipid-lowering therapy is guided by Low-density-lipoprotein cholesterol (LDL-c), although the CVD risk could be better reflected by other lipid parameters. This study aimed the evaluation of a comprehensive lipid profile in patients with type 2 diabetes mellitus (T2DM) and comparation of those achieving and not achieving LDL-c control in respect to other non-conventional lipid parameters. Methods: We characterized a comprehensive lipid profile in 96 T2DM patients. ESC/EAS 2016 and 2019 Guidelines for the Management of Dyslipidemias were used to define LDL-c targets. Atherogenic lipoprotein profile was compared in patients with LDL-c within and above the target. Results: Only 28.1% and 16.7% of patients had mean LDL-c levels within the 2016 and 2019 guidelines, respectively. In patients with LDL-c within target by the 2016 guidelines, 22%, 25% and 44% presented levels above the recommended range for non-HDL-c, ApoB and oxidized LDL-c, respectively, whereas accordingly to the 2019 guidelines, 50%, 39% and 44% had elevated levels of -HDL-c, ApoB and oxidized LDL-c, respectively. There was a significant strong association of LDL-c and non-HDL-c (r=0.850), ApoB (r=0.656) and oxidized LDL-c (r=0.508). Similarly, non-HDL-c was significantly strongly correlated with ApoB (r=0.808) and oxidized LDL-c (r=0.588). Conclusions: These findings emphasize the limitations of a sole LDL-c measurement for CV risk assessment. Targeting only LDL-c could result in missed opportunities for CV risk reduction in T2DM individuals. Our data suggest that non-HDL-c, ApoB and oxidized LDL-c could be considered as part of these patients’ evaluation allowing a more accurate estimation of CV risk and treatment among these high-risk patients.


2020 ◽  
Vol 20 (10) ◽  
Author(s):  
Bhuvana Sunil ◽  
Ambika P. Ashraf

Abstract Purpose of Review Cardiovascular (CV) disease is a major cause of mortality in type 2 diabetes mellitus (T2D). Dyslipidemia is prevalent in children with T2D and is a known risk factor for CVD. In this review, we critically examine the epidemiology, pathophysiology, and recommendations for dyslipidemia management in pediatric T2D. Recent Findings Dyslipidemia is multifactorial and related to poor glycemic control, insulin resistance, inflammation, and genetic susceptibility. Current guidelines recommend lipid screening after achieving glycemic control and annually thereafter. The desired lipid goals are low-density lipoprotein cholesterol (LDL-C) < 100 mg/dL, high-density lipoprotein cholesterol (HDL-C) > 35 mg/dL, and triglycerides (TG) < 150 mg/dL. Summary If LDL-C remains > 130 mg/dL after 6 months, statins are recommended with a treatment goal of < 100 mg/dL. If fasting TG are > 400 mg/dL or non-fasting TG are > 1000 mg/dL, fibrates are recommended. Although abnormal levels of atherogenic TG-rich lipoproteins, apolipoprotein B, and non-HDL-C are commonly present in pediatric T2D, their measurement is not currently considered in risk assessment or management.


2018 ◽  
Vol 275 ◽  
pp. e200
Author(s):  
L. Fonseca ◽  
S. Paredes ◽  
J. Vilaverde ◽  
M. Alves ◽  
J.C. Oliveira ◽  
...  

2021 ◽  
Vol 16 (1) ◽  
pp. 464-474
Author(s):  
Sushant Pokhrel ◽  
Nisha Giri ◽  
Rakesh Pokhrel ◽  
Bashu Dev Pardhe ◽  
Anit Lamichhane ◽  
...  

Abstract This study aims to assess vitamin D deficiency-induced dyslipidemia and cardiovascular disease (CVD) risk in poor glycemic control among type 2 diabetes mellitus (T2DM) patients. This study was carried out among 455 T2DM patients involving poor glycemic control (n = 247) and good glycemic control (n = 208). Fasting plasma glucose (FPG) and HbA1c were measured to assess glycemic control. Cardiac risk ratio, atherogenic index plasma, and atherogenic coefficient were calculated to assess and compare the CVD risk in different groups. Patients with poor control had a significantly higher level of total cholesterol (TC), triglyceride (TG), and non-high-density lipoprotein lipase cholesterol (non-HDL-C), atherogenic variables, and lower level of high-density lipoprotein lipase cholesterol (HDL-C) as compared to patients with good glycemic control. We also observed significant negative correlation of vitamin D with lipid markers and atherogenic variables in poor glycemic control diabetic population. The serum vitamin D levels were inversely associated with HbA1c, FPG, TG, TC, and non-HDL-C. Furthermore, hypercholesterolemia, hypertriglyceridemia, and elevated non-HDL-C were the independent risks in hypovitaminosis D population. Vitamin D deficiency in poor glycemic control is likely to develop dyslipidemia as compared to vitamin D insufficient and sufficient groups. Thus, vitamin D supplementation and an increase in exposure to sunlight may reduce the risk of cardiovascular complications in diabetes.


2020 ◽  
pp. 263246362097804
Author(s):  
Rejitha Jagesh ◽  
Mathew John ◽  
Manju Manoharan Nair Jalaja ◽  
Tittu Oommen ◽  
Deepa Gopinath

Objectives: The accurate and precise measurement of low-density lipoprotein-cholesterol (LDL-C) is important in the assessment of atherosclerotic cardiovascular disease risk (ASCVD) in people with diabetes mellitus. This study aimed at comparing directly measured LDL-C with Friedewald formula (FF)-calculated LDL-C (c-LDL-C) in people with type-2 diabetes. Methods: Fasting lipid profiles of 1905 people with type-2 diabetes, whose LDL-C was estimated by direct LDL assay, were chosen for the study. In the same group, LDL-C was calculated with FF. Correlation and agreement between these methods were analyzed at various strata of triglycerides (TGs). The possibility of misclassifying people at various levels of LDL-C targets proposed in literature was calculated. Results: The mean LDL-C levels were lower in the c-LDL-C group across various TG strata. A significant correlation was found between c-LDL-C and direct LDL-C for all the study samples ( r = 0.948, P < .001) and across all TG strata. Analysis of agreement showed a positive bias for direct LDL-C which increased at higher strata of TGs. c-LDL-C underestimated ASCVD by misclassifying people at various LDL-C target levels. Conclusion: There is a difference between direct LDL-C and c-LDL-C values in people with diabetes and this may result in misclassifying ASCVD especially at lower levels of LDL-C and higher levels of TGs.


2018 ◽  
Vol 26 (2) ◽  
pp. 140-147
Author(s):  
Nahid Yeasmin ◽  
Qazi Shamima Akhter ◽  
Sayeeda Mahmuda ◽  
Sultana Yeasmin ◽  
Rumana Afroz ◽  
...  

Background: Diabetes mellitus is one of the most widespread endocrine disorders in female and its complications are increasing all over the world, leading to life threatening medical problems like cardiovascular diseases, stroke and end stage renal diseases. A correlation between hyperlipidemia and type 2 diabetes mellitus has been identified. The study was carried out to observe the correlation of serum low density lipoprotein cholesterol (LDL-C) and high density lipoprotein cholesterol (HDL-C) level with type 2 diabetes mellitus in adult female subjects.Method: This cross sectional study was conducted in the Department of Physiology, Dhaka Medical College, Dhaka, during the period of January 2011 to December 2011. Total sixty female subjects were selected with age ranging from 30 to 50 years. Among them 30 female subjects with diabetes mellitus were included from out-patient department of Endocrinology, Dhaka Medical College Hospital, Dhaka as study group (B) and 30 apparently healthy females were taken as control group (A) for comparison. Estimation of serum fasting serum LDL-C and HDL-C levels was done by enzymatic method in the department of Physiology, Dhaka Medical College Dhaka in both groups. Fasting serum insulin level was measured by ELISA method in the laboratory of National Institute of ENT, Dhaka and fasting blood glucose was estimated by glucose oxidase method in the department of Physiology, Dhaka Medical College in both groups. Data were analyzed by Unpaired Student’s- test and Pearson’s correlation co-efficient (r) test as applicable.Results: The value of fasting serum LDL-C level was significantly higher in study subjects than those of control. Again, fasting serum HDL-C level was significantly lower in study subjects in comparison to controls. In study subjects fasting serum LDL showed positive correlation and fasting serum HDL-C levels showed negative correlation with fasting blood glucose and serum insulin level.Conclusion: Present study reveals that serum insulin and blood glucose level have positive relationship with low density lipoprotein cholesterol (LDL-C) and negative relationship with high density lipoprotein cholesterol (HDL-C) levels.J Dhaka Medical College, Vol. 26, No.2, October, 2017, Page 140-147


Author(s):  
Shukang Wang ◽  
Xiaokang Ji ◽  
Zhentang Zhang ◽  
Fuzhong Xue

Glycosylated hemoglobin (HbA1c) was the best indicator of glycemic control, which did not show the dynamic relationship between glycemic control and lipid profiles. In order to guide the health management of Type 2 diabetes (T2D), we assessed the levels of lipid profiles and fasting plasma glucose (FPG) and displayed the relationship between FPG control and lipid profiles. We conducted a cross-sectional study that included 5822 participants. Descriptive statistics were conducted according to gender and glycemic status respectively. Comparisons for the control of lipid profiles were conducted according to glycemic control. Four logistic regression models were generated to analyze the relationship between lipid profiles and glycemic control according to different confounding factors. The metabolic control percentage of FPG, triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C) and low density lipoprotein cholesterol (LDL-C) was 27.50%, 73.10%, 28.10%, 64.20% and 44.80% respectively. In the fourth model with the most confounding factors, the odds ratios (ORs) and 95% confidence intervals (CIs) of TG, TC, LDL-C and HDL-C were 0.989 (0.935, 1.046), 0.862 (0.823, 0.903), 0.987 (0.920, 1.060) and 2.173 (1.761, 2.683). TC and HDL-C were statistically significant, and TG and LDL-C were not statistically significant with adjustment for different confounding factors. In conclusion, FPG was significantly associated with HDL and TC and was not associated with LDL and TG. Our findings suggested that TC and HDL should be focused on in the process of T2D health management.


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