Meta-analysis of Atherogenic Index of Plasma and other lipid parameters in relation to risk of type 2 diabetes mellitus

Zhu, Xiaowei; Deng, Fei‐Yan; Lei, Shu‐Feng

doi:10.1016/j.pcd.2014.03.007

Cited by 117 publications

(117 citation statements)

References 6 publications

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“…We observed that the mean of lipid pro le abnormality associated with "high/low tendency to progress diabetes" states. This nding is in line with the results of previous studies have emphasized on the association of lipid pro le disorders with the risk of diabetes (11,12,23,(33)(34)(35)(36).…”

Section: Discussionsupporting

confidence: 92%

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Patterns of changes in serum lipid profile in prediabetic patients: Results from a 16-year prospective cohort study

Safari

Amini

Aminorroaya

et al. 2020

Preprint

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Background Lipids abnormality pervasively is associated with the risk of Type 2 diabetes mellitus. To the best of our knowledge, there is no study that examined the longitudinal changes in wide range of serum lipid profile in prediabetic subjects in association with the risk of Type 2 diabetes mellitus in future. This study aimed to identify the patterns of changes in lipids profile over time in prediabetic patients and classify these subjects in order to highlight the high risk people for future diabetes risk. Methods This prospective 16-year (2003–2019) cohort study was conducted among 1228 prediabetic subjects. The study subjects followed over time and changes in their lipid profile include Triglycerides, Cholesterol, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol was evaluated. Latent Markov model was used for data analysis. Results Mean (standard deviation) age of subjects was 44.00 (6.86) years and 73.6% were female. Latent Markov model identified two latent states of subjects in terms of change in lipid profile: low tendency to progress diabetes/ high tendency to progress diabetes (74%/ 26%). Latent Markov model showed that the transition probability from “low tendency to progress diabetic” state to “high tendency to progress diabetic” state was lower than the transition probability from “high tendency to progress diabetic” state to “low tendency to progress diabetic” state. Conclusion In conclusion, abnormality of serum lipid profile remains a significant and growing problem in prediabetic subjects as high risk population. The reduction in the problem burden will require changes at the policy level as well as at the personal level.

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Section: Discussionsupporting

confidence: 92%

“…Previous evidences suggested that lipid abnormalities are common in people with T2DM and PD (10,11). For instance, a meta-analytic review demonstrated that lipid pro le disorders signi cantly associated with T2DM (12). A community based cross-sectional survey showed a strong association between serum lipid pro le with T2DM and PD (13).…”

Section: Introductionmentioning

confidence: 99%

Patterns of changes in serum lipid profile in prediabetic patients: Results from a 16-year prospective cohort study

Safari

Amini

Aminorroaya

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…We also used the AIP that is considered as a very sensitive predictor of future cardiovascular events and that is defined as log(triglycerides/HDL cholesterol) .…”

Section: Methodssupporting

confidence: 87%

Metabolic syndrome and actigraphy measures of sleep and circadian rhythms in bipolar disorders during remission

Brochard

Godin

Geoffroy

et al. 2018

Acta Psychiatr Scand

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“…Although statin therapy reduces elevated LDL cholesterol with clinically significant reductions in all forms of CVD, to date, attempts to find a safe and effective pharmacological agent to raise low HDL levels which lead to favorable clinical outcomes have not been very successful (17). In the absence of a safe and effective pharmacotherapy to optimize atherogenic dyslipidemia, clinical guidelines emphasize the importance of non-pharmacological interventions to achieve favorable HDL cholesterol (15).…”

Section: Discussionmentioning

confidence: 99%

Association of Male Gender and Younger Age at Diagnosis of Type 2 Diabetes with more Atherogenic Lipid Profile

Weerarathna

Plgc²,

Hmm³

2015

Int Arch Med

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Background: Recognition of cardiovascular (CVD) risk profile and its patterns at the time of diagnosis of diabetes would enable adoption of most appropriate primary prevention strategies to reduce morbidity and mortality from vascular disease. We aimed to study the prevalence and pattern of modifiable CVD risk factors in patients at the time of diagnosis of type 2 diabetes. Methods:In this single center, cross sectional study, 412 newly diagnosed patients with type 2 diabetes were studied on prevalence of low density lipoproteins (LDL), triglycerides (TG), high density lipoproteins (HDL) and systolic and diastolic blood pressure (SBP and DBP) . Prevalence of each risk factor was determined according to the American diabetes association criteria. Associations of each risk factor (dependent variable) with gender, age at onset of diabetes, waist circumference (WC) and body mass index (BMI) (independent variables) were studied using logistic regression. Results:Males accounted for 71% of sample and Mean (SD) age 49(11) years. The most prevalent lipid abnormality was LDL > 100 mg (81%) and low HDL and raised TG were detected in 17.1%, 18.5%. SBP> 140 mm Hg and DBP > 90 mm Hg were prevalent in 15% and 12%. Male gender (odds ratio 7.98; 95% confidence interval 4.39 to14.49) and younger age at onset of diabetes (odds ratio 0.95; 95% confidence interval 0.93 to 0.98) were significantly associated with lower HDL. The younger age was significantly associated with adverse

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Meta-analysis of Atherogenic Index of Plasma and other lipid parameters in relation to risk of type 2 diabetes mellitus

Cited by 117 publications

References 6 publications

Patterns of changes in serum lipid profile in prediabetic patients: Results from a 16-year prospective cohort study

Patterns of changes in serum lipid profile in prediabetic patients: Results from a 16-year prospective cohort study

Metabolic syndrome and actigraphy measures of sleep and circadian rhythms in bipolar disorders during remission

Association of Male Gender and Younger Age at Diagnosis of Type 2 Diabetes with more Atherogenic Lipid Profile

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