scholarly journals Age-adjusted cut-off values of lipid accumulation product (LAP) for predicting hypertension

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Anastasiya M. Kaneva ◽  
Evgeny R. Bojko
Keyword(s):  
Lipid Accumulation ◽  
Metabolic Disturbances ◽  
Lipid Accumulation Product ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Hypertension Risk ◽  
Study Results ◽  
Laboratory Examinations ◽  
Questionnaire Surveys ◽  
The Many

AbstractAmong the many factors considered relevant to hypertension, obesity and metabolic disturbances play an important role in the development of this pathology. Therefore, lipid accumulation product (LAP), an index of visceral adiposity, is a simple and effective indicator of hypertension risk. To date, the reference and cut-off values for LAP have not been defined. The aim of the study was to determine the age-adjusted optimal cut-off values of LAP for the prediction of hypertension risk. This cross-sectional case–control study comprised 1960 subjects ranging from 20 to 64 years of age. The participants underwent anthropometric tests, blood pressure measurements, questionnaire surveys and laboratory examinations. The cut-off values of LAP were determined using receiver operating characteristic (ROC) curve analysis. According to our study results, LAP values in healthy subjects increased with age, whereas there was no effect of age on LAP values in patients with hypertension. These two findings determine the presence of age-adjusted cut-off values of LAP for diagnosing hypertension. Increasing age is associated with an increase in the cut-off values of LAP to detect hypertension. In conclusion, hypertension risk should be estimated using the age-adjusted cut-off values of LAP; otherwise, the risk of hypertension might be overestimated or underestimated.

scholarly journals Lipid Accumulation Product: An Effective Obesity Index to Predict Metabolic Syndrome

2022 ◽  
Vol 40 (1) ◽  
pp. 5-9
Author(s):  
Mariya Tabassum ◽  
Miliva Mozaffor ◽  
Md Matiur Rahman ◽  
Reaz Mahmud Huda
Keyword(s):  
Metabolic Syndrome ◽  
Lipid Accumulation ◽  
Predictive Value ◽  
Significant Risk ◽  
Area Under The Curve ◽  
Lipid Accumulation Product ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Obesity Index ◽  
Apparently Healthy

Background: Obesity is a significant risk factor in the development of metabolic syndrome (MetS). Lipid Accumulation Product (LAP) is an obesity index and has been proposed to be a predictor of metabolic syndrome. The present study aims to see the effectiveness of Lipid Accumulation Product as an obesity index to predict metabolic syndrome in a Bangladeshi population. Methods: This cross-sectional study was conducted in Department of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh, between March 2016 and February 2017. A total of 200 apparently healthy subjects (127 men and 73 women) were selected for the study, attending out-patient-departments of the same institution. Anthropometric measurements were recorded, which included their height, weight, waist circumference (WC) and body mass index (BMI). Overnight fasting blood samples were collected to estimate fasting serum glucose and lipid profile. Then LAP was calculated and evaluated as a tool in prediction of MetS in the study subjects. Receiver operating characteristic (ROC) curves were plotted to assess the performance of LAP in MetS prediction by gender. The power of MetS prediction was quantified by the area under the curve (AUC) with 95% confidence intervals. Results: Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NVP) of LAP in predicting MetS were 70.45%, 78.57%, 72.09% and 77.19% in male study subjects and 20.45%, 96.43%, 81.82% and 60.67% in female subjects respectively. ROC curve analysis showed that the optimal cutoff value of LAP in male study subjects was 40.72, while area under the curve was 0.92; in female study subjects, the values were 51.69 and 0.91 respectively (P<0.001). Conclusion: Lipid Accumulation Product was found simple, accessible and effective obesity index to predict metabolic syndrome in apparently healthy adults. J Bangladesh Coll Phys Surg 2022; 40: 5-9

scholarly journals Lipid accumulation product as a marker of cardiometabolic susceptibility in women with different phenotypes of polycystic ovary syndrome

2016 ◽  
Vol 175 (6) ◽  
pp. 551-560 ◽  
Author(s):  
Ivana Božić-Antić ◽  
Dušan Ilić ◽  
Jelica Bjekić-Macut ◽  
Tamara Bogavac ◽  
Danijela Vojnović-Milutinović ◽  
...  
Keyword(s):  
Lipid Accumulation ◽  
Polycystic Ovary ◽  
Surrogate Marker ◽  
International Diabetes Federation ◽  
Caucasian Population ◽  
Limited Data ◽  
Lipid Accumulation Product ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Metabolic Characteristics

AbstractObjectiveThere are limited data on cardiometabolic risk factors and the prevalence of metabolic syndrome (MetS) across the different PCOS phenotypes in Caucasian population. Lipid accumulation product (LAP) is a clinical surrogate marker that could be used for evaluation of MetS in clinical practice. The aim of the study was to analyze metabolic characteristics and the ability of LAP to predict MetS in different PCOS phenotypes.DesignCross-sectional clinical study analyzing 365 women with PCOS divided into four phenotypes according to the ESHRE/ASRM criteria, and 125 healthy BMI-matched controls.MethodsIn all subjects, LAP was determined and MetS was diagnosed according to the National Cholesterol Education Program/Adult Treatment Panel III (NCEP-ATP III), the International Diabetes Federation (IDF) and the Joint Interim Statement (JIS) criteria. Logistic regression and ROC curve analyses were used to determine predictors of MetS in each PCOS phenotype. All analyses were performed with age and BMI adjustment.ResultsAll PCOS phenotypes in comparison to controls had higher prevalence of MetS assessed by NCEP-ATP III criteria, and only classic phenotypes when IDF and JIS criteria were used. All phenotypes had the same prevalence of MetS irrespective of used definition. LAP and exhibited the highest diagnostic accuracy and was an independent predictor of MetS in all phenotypes.ConclusionLAP is an independent and accurate clinical determinant of MetS in all PCOS phenotypes in our Caucasian population. All PCOS phenotypes, including non-classic ones, are metabolically challenged and with cardiovascular risk, particularly phenotype B.

scholarly journals Lipid accumulation product is a reliable indicator for identifying metabolic syndrome: the China Multi-Ethnic Cohort (CMEC) Study

QJM ◽  
2020 ◽  
Author(s):  
X Zhang ◽  
F Hong ◽  
L Liu ◽  
F Nie ◽  
L Du ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Roc Curve ◽  
Lipid Accumulation ◽  
Operating Characteristic ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sensitivity Analyses ◽  
Lipid Accumulation Product ◽  
Cross Sectional ◽  
Obesity Indices

Abstract Background Previous studies have shown that lipid accumulation product (LAP) was associated with the risk of cardiometabolic disease. It is not clear whether LAP could be used as a marker to identify metabolic syndrome (MetS) among Chinese ethnic groups. Aim: To assess the reliability of LAP as a maker to identify MetS among Dong adults. Design: Population-based cross-sectional study. Method We included 6494 Dong individuals (1403 patients) aged 30–79 years from southwest China. MetS was established by Chinese Diabetes Society. Logistic regression model was utilized to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic (ROC) curve was utilized to calculate area under the ROC curve (AUC) and 95% CIs to obtain the identification ability for MetS. Results The risk of MetS was increased with per 5 units increase of LAP (OR 1.37 [95% CI, 1.34–1.39]). Similar results were found in subgroup analyses and sensitivity analyses. Clustered metabolic risk associated with per 5 units increase of LAP was observed for people with 1 (OR 1.59 [95% CI, 1.53–1.65]), 2 (2.15 [2.06–2.24]), 3 (2.59 [2.48–2.71]), 4 (2.81 [2.69–2.95]) and 5 (3.03 [2.87–3.21]) MetS components. LAP presented higher AUC (0.915 [95% CI, 0.907–0.923]) than other included obesity indices (P &lt; 0.05). Conclusion These data support evidence that LAP was related to the risk of MetS, had a high AUC and could be a reliable index for identifying MetS patients among Dong adults in Chinese.

scholarly journals Lipid accumulation product (LAP) was independently associated with obstructive sleep apnea in patients with type 2 diabetes mellitus

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Lianqin Dong ◽  
Mingzhu Lin ◽  
Wengui Wang ◽  
Danyan Ma ◽  
Yun Chen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Linear Regression ◽  
Lipid Accumulation ◽  
Cross Sectional Study ◽  
Regression Analyses ◽  
Sectional Study ◽  
Lipid Accumulation Product ◽  
Cross Sectional ◽  
Obstructive Sleep

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.

scholarly journals 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

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.

scholarly journals Interaction of lipid accumulation product and family history of hypertension on hypertension risk: a cross-sectional study in the Southern Chinese population

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e029253
Author(s):  
JunXuan Huang ◽  
XinYu Bao ◽  
YiXian Xie ◽  
XiaoXia Zhang ◽  
Xin Peng ◽  
...  
Keyword(s):  
Family History ◽  
Chinese Population ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Lipid Accumulation Product ◽  
Cross Sectional ◽  
Hypertension Risk ◽  
Southern Chinese ◽  
History Of ◽  
Family History Of Hypertension

ObjectivesThis study aimed at investigating the applicability of a novel index based on waist circumference (WC) and triglyceride (TG) which was named lipid accumulation product (LAP) in the Southern Chinese population, and compared the predictive effects of LAP and other obesity indicators on hypertension risk. Moreover, this study investigated the interactive effects of LAP and family history of hypertension.MethodsA total number of 2079 of community-dwelling adults in Southern China were enrolled in this cross-sectional study. The participants underwent questionnaire surveys, anthropometric tests and laboratory examinations. Themultinomial logistic regression model and receiver operating characteristic curves, including LAP, body mass index (BMI), waist-to-hip ratio (WHR), WC and TG, were used to assess the association between hypertension risk and obesity indexes. The interaction effects were evaluated by relative excess risk of interaction (RERI), attributable proportion due to interaction (AP) and synergy index (SI).ResultsHigher LAP levels have a relatively higher risk of having hypertension in both sexes (males: adjusted OR=2.79 per SD increase, 95% CI 1.43 to 5.44, p<0.001; females: adjusted OR=3.15, 95% CI 1.56 to 6.39, p<0.001). LAP (area under the curve=0.721; 95% CI 0.680 to 0.761) is a better indicator in identifying hypertension risk than BMI, WHR and TG in females, but WC performed better in males. A significant interaction between LAP and family history of hypertension was observed in males (RERI=1.652, 95% CI 0.267 to 3.037; AP=0.516, 95% CI 0.238 to 0.794; SI=3.998, 95% CI 0.897 to 17.820), but there is no statistically significant difference in females.ConclusionsLAP significantly associates with hypertension risk in the Southern Chinese population. It has better performance than BMI, WHR and TG on predicting hypertension risk of the Southern Chinese female population. Moreover, LAP and family history of hypertension might synergistically increase the risk of hypertension.

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