Cardiovascular risk assessment using the lipid accumulation product index among primary healthcare users: a cross-sectional study

Abstract Background Lipid accumulation product (LAP) is a new index based on a combination of waist circumference (WC) and serum triglycerides (TG) reflecting lipid accumulation. In this cross-sectional study, we aimed to explore whether LAP was independently associated with obstructive sleep apnea (OSA) in Type 2 diabetes mellitus (T2DM) patients. Methods A cross-sectional study of 317 T2DM patients who underwent overnight polysomnography (PSG) tests was conducted. The clinical data between non-OSA group and OSA group were compared. Multivariable linear regression and multivariable logistic regression analyses were performed to determine associations of LAP, with apnea-hypopnea index (AHI) and OSA. Results Among 317 patients, 219 (69.1%) were men, and the mean ages (±SD) were 51.4 (±13.5) years for men and 54.6 (±15.1) years for women (p = 0.067). The prevalence rates of OSA were 63.0% for men and 68.4% for women (p = 0.357). LAP (log-transformed) was significantly correlated with AHI (log-transformed), with the Pearson’s correlation coefficient of 0.170 (p = 0.002). With adjustment for potential confounding factors, multivariate linear regression analyses showed the association of LAP with AHI was not statistically significant, with the adjusted linear regression coefficients (95% CI) of per SD increase of LAP for AHI (log-transformed) was 0.092 (− 0.011–0.194, p = 0.080). Multivariate logistic regression analyses showed LAP was significantly associated with increased risk of OSA, with the adjusted OR (95%CI) of per SD increase of LAP of 1.639 (1.032–2.604, p = 0.036). However, as constituents of LAP, neither TG nor WC was significantly associated with AHI and OSA. Conclusion LAP was independently associated with OSA and might be used as a potential OSA risk marker in T2DM patients, beyond the general index of obesity.

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The Effect of Lipid Accumulation Product and Its Interaction With Family History of Hypertension on Hypertension Risk in Population With Nondiabetic in Eastern China: A Cross-sectional Study

10.21203/rs.3.rs-677854/v1 ◽

2021 ◽

Author(s):

Li Shu ◽

Lina Song ◽

Yanqi Shen ◽

Jinchen Wang ◽

Ziyan Han ◽

...

Keyword(s):

Logistic Regression ◽

Family History ◽

Lipid Accumulation ◽

Visceral Obesity ◽

Cross Sectional Study ◽

Sectional Study ◽

Lipid Accumulation Product ◽

Cross Sectional ◽

Physical Measurements ◽

History Of

Abstract Background: Lipid Accumulation Product (LAP) was proposed as a useful indicator of visceral obesity, the visceral obesity and cardiovascular diseases are closely related. However, the empirical evidences of LAP and hypertension (HTN) are limited. Our study sought to assess the risk factors of HTN and prehypertension (PHT), and provide an insight into the possible interacting influences of LAP with family history of HTN on the risk of HTN in the nondiabetic Eastern Chinese population. Methods: A large cross-sectional study was conducted in community health service centers in urban Bengbu of Anhui province, China. All elderly person aged 45 years and older were performed an interview questionnaire, physical measurements and biochemical indicators examinations by trained staffs. Common indexes to screen obese persons such as body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and LAP were calculated. Multivariate logistic regression was used to test the prevalence of HTN and PHT in relation to each quartile increase in LAP level and family history of HTN. The receiver operating characteristic (ROC) analysis was applied to calculate the best cut-off value of LAP and identify the superior obesity indicator. The interaction effects were evaluated by relative excess risk of interaction (RERI), attributable proportion due to interaction (AP) and synergy index (SI). Results: 7733 subjects were enrolled in our study, the overall prevalence rates of normotension, PHT and HTN were 38.1%, 37.1% and 24.8%, respectively. The prevalence of HTN increased rapidly across LAP quartiles in males and females, the LAP values in the top quartile were significantly higher than those in the bottom quartile (31.8% vs. 17.6% in males, p for trend <0.001; 31.4% vs. 18.8% in females, p for trend <0.001). The AUC value of LAP were superior to BMI in males (Z=6.627, p<0.001) and females (Z=8.045, p<0.001). Multinomial logistic regression analysis showed that compared with subjects in LAP quartile 1, those in quartile 3 (OR: 1.612, 95% CI: 1.386-1.876) and quartile 4 (OR: 1.942, 95% CI: 1.673-2.253) had significantly higher risk of HTN (p for trend<0.001) after adjusting for confounding factors. A significant interaction was observed between LAP and family history of HTN in males (AP: 0.1663, 95% CI: 0.0027-0.3299; SI: 1.4035, 95% CI: 1.0597-1.8590) and females (RERI: 1.4109, 95% CI: 0.1455-2.9674; AP: 0.1664, 95% CI: 0.0088-0.3240; SI: 1.3884, 95% CI: 1.0565-1.8245). Conclusion: LAP is a simple and convenient index to predict the HTN risk, higher LAP values have relatively associated with higher blood pressure (BP). The results demonstrated that interactive effects of LAP with family history of HTN may synergistically influence the development of HTN.

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