Background
The prevalence of dyslipidemia in patients with type 2 diabetes (T2D) has been reported to be relatively high. The current study aimed to investigate the trend of serum lipid levels and ...the prevalence of dyslipidemia in patients with T2D.
Methods
Data were extracted from a cohort of patients with T2D who had regular follow-ups every year for three years. TG, TC, LDL-C, HDL-C, and non-HDL-C were analyzed. The atherogenic index of plasma (AIP) was calculated using log (TG/HDL-C).
Results
A total of 747 patients with T2D were included in this study, consisting of 469 (62.8%) women and 278 (37.2%) men. There was a significant downward trend in mean TG, TC, LDL-C, non-HDL-C, and AIP levels. The trend of mean HDL-C levels showed no significant change. The prevalence of high TG, high TC, high LDL-C, and high non-HDL-C significantly decreased from the first to the last visit. There was no significant change in the trend of prevalence of low HDL-C. The prevalence of high AIP significantly decreased in women and showed no significant changes in men.
Conclusions
A decreasing trend was observed in the mean levels and prevalence of TG, TC, LDL-C, non-HDL-C, and AIP. HDL-C did not change significantly. The success rate in achieving a complete normal lipid profile during follow-up years was not promising and continues to be challenging.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Lipid accumulation product (LAP) is an index calculated by waist circumference (WC) and triglyceride (TG), which reflects lipid toxicity. This study aims to investigate the association between the ...LAP index and nonalcoholic fatty liver disease (NAFLD) in a systematic review and meta-analysis.
PubMed, Scopus, and Web of Science online databases were searched for eligible studies that investigated the association of the LAP index and NAFLD. Sixteen observational studies with 96,101 participants, including four cohort studies, one case‒control study and 11 cross-sectional studies with baseline data, were entered into this analysis. Fourteen studies reported a significant association between the LAP index and NAFLD, and two reported that this relation was not significant; two different meta-analyses (1- mean difference (MD) and 2- bivariate diagnostic test accuracy DTA) were conducted using Stata version 14. The LAP index was compared in subjects with and without NAFLD, and the difference was significant with 34.90 units (CI 95: 30.59-39.31, P < 0.001) of the LAP index. The DTA meta-analysis was conducted and showed that the LAP index pooled sensitivity and specificity for screening of NAFLD were 94% (CI95: 72%-99%, I
= 99%, P < 0.001) and 85% (CI95: 62%-96%, I
= 99%, P < 0.001), respectively.
The LAP Index is an inexpensive, sensitive, and specific method to evaluate NAFLD and may be valuable for NAFLD screening.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Inflammation is a well-described factor in the pathophysiology of type 2 diabetes mellitus (DM), which has been a suspect in the alteration of correlations between CRP and leptin in patients with ...type 2 DM.
This study aimed to show the effect of vitamin C as an antioxidant on the correlation of the serum levels of C-reactive protein (CRP) and leptin in patients with type 2 DM.
We recruited 70 patients with longstanding T2DM and randomly assigned them into two groups; one received 500 mg/day of vitamin C, and the other received a placebo for eight weeks. Both groups were matched regarding baseline characteristics such as age, gender, weight, and diabetic medications.
Out of 70 individuals, 57 participants were left in the study. After eight weeks of follow-up, leptin level was significantly increased in the Vitamin C group (MD = 3.48 change = 24%, p-value = 0.001) but did not change in the placebo group. Other markers such as Fasting plasma glucose, HbA1c, Creatinine, uric acid, Urea, cholesterol, HDL, LDL, TG, AST, ALT, insulin, and CRP did not significantly change in both groups (p value > 0.05). The significant changes in the leptin level among the vitamin C group also remained after controlling for age, BMI, Blood pressure (BP), Triglyceride (TG), and cholesterol. Also, the correlation between serum CRP and leptin became significant in the vitamin C group after eight weeks of follow-up but not in the placebo group. (rs = 0.730, p < 0.001 vs. rs = 0.286, p-value = 0.266 in placebo group).
This study shows vitamin C can restore CRP-leptin correlation in patients with type 2 diabetes and increase serum leptin levels. More studies are needed to clarify the mechanism of this restoration.
IRCT20160811029306N1.
Background So far, high-density lipoprotein cholesterol (HDL-C) levels and mortality were shown to have a U-shaped relationship. Additionally, high HDL-C levels increase the risk of developing a ...variety of diseases. However, a paucity of data exists regarding the characteristics of people with high HDL-C levels. The aim of this study was to assess the demographics and characteristics of patients with high HDL-C levels and compare their features with normal and low HDL-C groups. Methods As a cross-sectional, matched case-control study, a total of 510 patients with type 2 diabetes (T2D) were enrolled in the study and categorized into three matched groups according to their HDL-C concentrations. The studied groups were matched by their age and gender. Restricted cubic spline (RCS) curves were designed to evaluate the relationship between height, blood pressure, triglyceride, and vitamin D concentrations with the probability of having high HDL-C levels. Furthermore, violin plots were conducted to illustrate the distribution of continuous variables within each group. Results This study showed that having high HDL-C (more than 70 mg/dL) compared to having low HDL-C (less than 40 mg/dL in men and 50 mg/dL in women) was significantly associated with height (OR 0.918, 95% CI 0.866-0.974), systolic blood pressure (SBP) (0.941, 0.910-0.972), vitamin D (0.970, 0.941-0.999), and triglyceride (0.992, 0.987-0.998) serum concentrations. Further analysis investigated that having high HDL-C levels compared to desired HDL-C levels (40 less than or equal to HDL-C levels < 70 in men and 50 less than or equal to HDL-C levels < 70 in women) was inversely associated with having SPB values greater than 130 mmHg. Besides, sufficient vitamin D levels (above 20 ng/ml) could 0.349 times decrease the odds of having high HDL-C versus normal HDL-C levels. Conclusion Sufficient vitamin D levels, SPB values higher than 130 mmHg, as well as increased triglyceride levels, were inversely associated with having high HDL levels. However, higher height values were associated with a decreased likelihood of having high HDL. Keywords: Cholesterol, Triglyceride, Vitamin D, Lipoproteins, Lipids, High-density lipoprotein
The literature describes an inverse association between the values of triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C). This survey was designed to exhibit the features of people ...with type 2 diabetes (T2D) who display this inverse association and identify potential contributing factors to having normal HDL-C values.
A total of 6127 persons with T2D were assigned to the present survey. Demographic features and clinical status data were compared between subjects with a substantial inverse association of TG and HDL-C and those without. Logistic regressions were performed to ascertain the role of different factors related to normal HDL-C. Moreover, the restricted cubic spline (RCS) functions were conducted to scrutinize the underlying relationships between the studied variables and low HDL-C levels.
Patients with high TG (150 ≤ TG < 400) compared to patients with normal TG (TG < 150) were less likely to have normal HDL-C. Younger age, narrow hip, lower levels of blood pressure, two-hour postprandial glucose (2hPP), fasting blood sugar (FBS), hemoglobinA1C (HbA1C), low-density lipoprotein cholesterol (LDL-C), total cholesterol, and non-HDL-C, higher atherogenic index of plasma (AIP), and TG/HDL-C ratio correlate with an inverse connection between the values of HDL-C and TG (all P < 0.05). Age greater than 65 years (odds ratio (OR) 1.260, 95% confidence intervals (CI) 1.124-1.413) had a positive association, whereas female sex (OR 0.467, CI 0.416-0.523) , 25 kg/m2 < body mass index (BMI) (OR 0.786, CI 0.691-0.894), and higher serum creatinine levels (OR 0.481, CI 0.372-0.621) had an inverse association with having normal HDL-C.
Patients with an inverse connection between TG and HDL-C values had considerably different anthropometric features, lipid profiles, and glucose indices compared to those without this relationship. Furthermore, patients who aged less than 65 years, had female gender, BMI more than 25 kg/m2, and higher serum creatinine levels were less likely to exhibit normal HDL-C levels.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Background Metabolic-associated fatty liver disease (MAFLD), formerly known as non-alcoholic fatty liver disease, is the leading cause of liver disease that can ultimately lead to cirrhosis. ...Identifying a screening marker for early diagnosis of MAFLD in patients with type 2 diabetes (T2D) can reduce the risk of morbidity and mortality. This study investigated the association between the atherogenic index of plasma (AIP) and MAFLD in patients with T2D. Method A retrospective case-control study was conducted and medical records of patients with T2D were assessed. The baseline characteristics, anthropometric indices, laboratory measurements including liver functions tests, fasting blood sugar, HbA1C, lipid profile were documented. Results Out of 2547 patients with T2D, 824 (32.4%) had MAFLD. The multivariate logistic regression analysis showed a significant difference in female-to-male ratio (1.11 vs. 1.33, OR = 0.347, P-value < 0.001), ALT (42.5 + or - 28.1 vs. 22.4 + or - 11.1, OR = 1.057, P-value < 0.001), and AIP (0.6 + or - 0.3 vs. 0.5 + or - 0.3, OR = 5.057, P-value < 0.001) between MAFLD and non-MAFLD groups, respectively. According to the AIP quartile, the prevalence of MAFLD increased significantly in patients with higher AIP quartiles (P-value < 0.001). Also, we found a cut-off of 0.54 for AIP in predicting MAFLD in patients with T2D (sensitivity = 57.8%, specificity = 54.4%). Conclusion In this study, we found that AIP is a good and independent predictor for MAFLD in patients with T2D which could help physicians in early diagnosis and follow-up of patients with T2D. Keywords: Atherogenic index of plasma, Non-alcoholic fatty liver disease, Metabolic-associated fatty liver disease, Diabetes mellitus
Abstract Introduction This study investigated the possible relationship between the Apo lipoprotein A1 /high-density lipoprotein cholesterol (ApoA1/HDL-C) ratio and coronary artery disease (CAD) in ...patients with type 2 diabetes (T2D). Methods This was a matched case-control study of 482 patients with T2D in two groups of CAD and ( n = 241) non-CAD ( n = 241). The patients were classified into four quartiles according to the ApoA1/HDL-C ratio, and multivariate logistic regression analysis was performed to assess the relationship between ApoA1/HDL-C and CAD. ROC analysis was also conducted. Results This study showed that the ApoA1/HDL-C ratio has an independent association with CAD in individuals with T2D. The CAD group exhibited a significantly higher ApoA1/HDL-C ratio than those without CAD ( p -value = 0.004). Moreover, the risk of CAD increased significantly across the ApoA1/HDL-C ratio quartiles, with the highest odds in the fourth quartile. The second quartile showed an odds ratio (OR) of 2.03 ( p -value = 0.048) compared to the first. Moving to the third quartile, the OR increased to 2.23 ( p -value = 0.023). The highest OR was noted in the fourth, reaching 3.41 ( p -value = 0.001). Employing a cut-off value of 2.66 and an area under the curve (AUC) of 0.885, the ApoA1/HDL-C ratio predicts CAD among patients with T2D with a sensitivity of 75% and a specificity of 91% ( p -value < 0.001). Conclusion The current study revealed an independent association between ApoA1/HDL-C ratio and CAD in patients with T2D. This ratio can be a promising tool for predicting CAD during the follow-up of patients with T2D, aiding in identifying those at higher risk for CAD.
Purpose
Regarding the role of inflammation in progression of diabetes this study was conducted to investigate the association between inflammatory biomarkers such as nitric oxide (NO), tumor necrosis ...factor alpha (TNF-α), and high-sensitivity C-reactive protein (hs-CRP) with the chance of existence of diabetic retinopathy and its progression in patients with diabetes.
Methods
A total of 83 patients with T2DM (Type 2 diabetes mellitus) were divided into three groups of patients with proliferative diabetic retinopathy (PDR), patients with non-proliferative diabetic retinopathy (NPDR) and patients without diabetic retinopathy (NDR) based on ophthalmologic funduscopic examination. Twenty six healthy controls were also enrolled. Blood samples were taken after 12 h of overnight fasting, NO, TNF-α, and hs-CRP were measured. Association of the level of these biomarkers with retinopathy was analyzed.
Results
The levels of TNF-α, NO and hs-CRP were higher among patients with diabetic retinopathy. Multinomial Logistic Regression model showed that TNF-α and NO could predict the presence of retinopathy among patients with diabetes when adjusted for hs-CRP, HbA1c, FBS, gender, total cholesterol, triglyceride, HDL, LDL, BMI, and age (respectively OR = 1.76, CI 95% = 1.01–3.02,
p
= 0.046 and OR = 1.12, CI 95% = 1.05–1.18,
p
< 0.001); however they could not predict the severity of retinopathy. In ROC analysis AUC for TNFα was 0.849 (
p
< 0.001) and for NO was 0.907 (
p
< 0.001). Serum TNF-α level of 7.10 pmol/L could be suggestive of the presence of retinopathy (sensitivity = 92.2% and specificity = 66.0%), also serum NO level of 45.96 μmol/L could be suggestive of the presence of retinopathy (sensitivity = 96.1% and specificity = 86%).
Conclusions
Our results suggest elevated levels of NO and TNF-α can be suggestive of diabetic retinopathy.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OBVAL, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Suboptimal blood pressure (BP) control in patients with type 2 diabetes is associated with adverse micro‐ and macrovascular complications. This study aimed to investigate the predictors of ...uncontrolled hypertension in an Iranian population with type 2 diabetes. This is a cross‐sectional study of 2612 patients with type 2 diabetes, including 944 patients with hypertension. Controlled and uncontrolled hypertension were assessed. Multivariate logistic regression modeling was used to determined independent predictors of uncontrolled hypertension. Of 2612 patients with type 2 diabetes, 944 (36.1%) patients had hypertension. Of all patients with hypertension, 580 (61.4%) were still on monotherapy. Uncontrolled hypertension was detected in 536 participants (56.8%). Patients with uncontrolled hypertension had significantly higher body mass index (BMI) (29.8±4.8 vs. 28.6±4.6), waist circumference (99.11±10.95 vs. 96.68±10.92), pulse pressure (67.3±17.3 vs. 48.4±10.7), total cholesterol (177.1±45.5 vs. 164.3±40.5), non‐HDL cholesterol (133.0±43.5 vs. 120.1±38.7), triglycerides (175.7±80.3 vs. 157.4±76.7), and Atherogenic Index of Plasma (AIP) (0.57±0.23 vs. 0.52±0.24) (p < .05 for all of them) compared to patients with controlled hypertension. Multivariate logistic regression analysis revealed that uncontrolled hypertension was significantly associated with BMI (p = .001), pulse pressure (p = .001), total cholesterol (p = .006), and non‐HDL cholesterol (p = .009). In patients with triglycerides levels > 200 mg/dl non‐HDL cholesterol had a significant correlation with uncontrolled hypertension (OR = 4.635, CI95%:1.781–12.064, p = .002). In conclusion, BMI, pulse pressure, total cholesterol, and non‐HDL cholesterol are significant predictors of uncontrolled hypertension in patients with type 2 diabetes. Also, ineffective monotherapy, medical inertia and patients’ non‐compliance were other contributors to the uncontrolled hypertension.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
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