Is lipid accumulation product a better cardiovascular risk predictor in elderly individuals than anthropometric measures?

Nunes, Samon Henrique; Saad, Maria Auxiliadora Nogueira; Filho, Rubens Antunes da Cruz; Jorge, Antônio José Lagoeiro; Santos, Márcia Maria Sales dos; Martins, Wolney de Andrade; Campos, Thais Landi de; Rosa, Maria Luiza Garcia

doi:10.1016/j.repce.2020.09.007

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…Among them, VAI is based on WC, BMI, triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C), reflecting the function and distribution of visceral fat. 13 LAP is associated with insulin resistance and cardiovascular disease, 14 , 15 reflecting the degree of abdominal fat accumulation. Nevertheless, the cost-effectiveness of LAP and VAI for predicting DKD is not obvious, since both indices are generated from lipid parameters.…”

Section: Introductionmentioning

confidence: 99%

Correlation Between the Variability of Different Obesity Indices and Diabetic Kidney Disease: A Retrospective Cohort Study Based on Populations in Taiwan

Sun,

Wang,

Yun

et al. 2023

DMSO

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Purpose To investigate the association of five obesity indices and the variability of these indices with diabetic kidney disease (DKD) in patients with type 2 diabetes and compare the predictive validity of these markers for the risk of DKD in this large longitudinal cohort study. Patients and Methods A total of 2659 patients with type 2 diabetes who did not have DKD were enrolled between 2006 and 2019 at Lee’s United Clinic in Taiwan. Data were collected for each subject, including demographic data, personal medical history, clinical parameters and calculated Body mass index (BMI), visceral adiposity index (VAI), lipid accumulation product (LAP), body roundness index (BRI) and variability of five obesity indices. Cox regression analysis was performed to determine the relationship between different obesity indicators and DKD risk. Cox’s proportional hazards model was evaluated the predictive effect of obesity indices on DKD. Results The risk of developing DKD increased with an increase in the BRI, LAP, VAI, WC and BMI (all P trend<0.05), and the variability of VAI was significantly associated with DKD [HR=1.132, 95% CI (1.001, 1.281)] after adjusting for corresponding variables. BRI had the strongest predictive effect on DKD. BRI had the best predictive performance, with AUC of 0.807, 0.663 and 0.673 at 1, 3 and 5 years, respectively. Cox regression analysis of risk factors for DKD in patients stratified by BRI quartiles showed that patients in the Q4 group had the highest risk of developing DKD [HR=1.356, 95% CI (1.131, 1.626)]. Conclusion BMI, WC, VAI, LAP, BRI and VAI variability were associated with a significant increase in the risk of DKD events, and BRI was superior and alternative obesity index for predicting DKD.

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Section: Introductionmentioning

confidence: 99%

Correlation Between the Variability of Different Obesity Indices and Diabetic Kidney Disease: A Retrospective Cohort Study Based on Populations in Taiwan

Sun,

Wang,

Yun

et al. 2023

DMSO

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Association between DASH and novel atherogenic risk factors, anthropometric indices and foot ulcer indicators in type 2 diabetic patients with foot ulcer: a cross-sectional study

Jalalzadeh,

Nasli-Esfahani,

Montazer

et al. 2024

J Diabetes Metab Disord

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How is healthy eating index-2015 related to risk factors for cardiovascular disease in patients with type 2 diabetes

et al. 2023

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BackgroundCardiovascular disease (CVD) is the primary cause of mortality and disability among diabetes. The aim of this study is to evaluate how healthy eating index-2015 related to risk factors for cardiovascular disease in patients with type 2 diabetes.MethodsThis cross-sectional study was conducted on 490 patients with type 2 diabetes in Tehran, Iran. The healthy eating index-2015 (HEI-2015) used as a diet quality indicator. Dietary intake was assessed by a valid and reliable semi-quantitative food frequency questionnaire (FFQ). Four indicators of CVD risk factor [Castelli risk index-1 and 2 (CRI-II), atherogenic index of plasma (AIP), cholesterol index (CI), and lipid accumulation of plasma (LAP)] were calculated. The anthropometric indices [a body shape index (ABSI), abdominal volume index (AVI), and body roundness index (BRI)] were computed.ResultsAfter adjusting for potential confounders, it is evident that participants in the highest tertile of HEI had a lower odds ratio of BRI (OR: 0.52; 95% CI: 0.29–0.95; p-trend = 0.03) and AIP (OR:0.56; 95% CI: 0.34–0.94; p-trend = 0.02). Also, HEI and CRI had a marginally significant negative relation (OR: 0.61; 95% CI: 0.38–1; p-trend = 0.05) in crude model, after adjusting the signification disappeared.ConclusionIn conclusion, our finding shows that more adherence to HEI reduces about 50% of the odds of AIP, BRI among diabetic patients. Further, large-scale cohort studies in Iran need to confirm these findings, including diabetic patients of various racial, ethnic backgrounds, body composition and different components of HEI.

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Is lipid accumulation product a better cardiovascular risk predictor in elderly individuals than anthropometric measures?

Cited by 3 publications

References 28 publications

Correlation Between the Variability of Different Obesity Indices and Diabetic Kidney Disease: A Retrospective Cohort Study Based on Populations in Taiwan

Correlation Between the Variability of Different Obesity Indices and Diabetic Kidney Disease: A Retrospective Cohort Study Based on Populations in Taiwan

Association between DASH and novel atherogenic risk factors, anthropometric indices and foot ulcer indicators in type 2 diabetic patients with foot ulcer: a cross-sectional study

How is healthy eating index-2015 related to risk factors for cardiovascular disease in patients with type 2 diabetes

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