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 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 Cutoff Point of TyG Index for Metabolic Syndrome in Brazilian Farmers

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1031-1031
Author(s):  
Júlia Ferreira ◽  
Eliana Zandonade ◽  
Olívia Bezerra ◽  
Luciane Salaroli
Keyword(s):  
Metabolic Syndrome ◽  
Area Under The Curve ◽  
Epidemiological Studies ◽  
Cutoff Point ◽  
Youden Index ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Insulin Resistant ◽  
Tyg Index ◽  
Unified Health System

Abstract Objectives The determination of Insulin Resistance (IR) requires sophisticated and costly methods, for this reason the TyG Index was proposed. However, there are still no studies in Brazil using Metabolic Syndrome (MetS) as a predictor of IR. Thus, the aim of this study was to determine the cutoff point for TyG as one of the indirect indices for MetS in a rural Brazilian population. Methods Cross-sectional observational epidemiological study conducted in a rural municipality in Brazil. The study population were 790 adult family farmers. The TyG index was calculated: Ln [fasting triglycerides (mg/dL) x fasting glycemia (mg/dL)]/2, and MetS was defined using the NCEP-ATPIII and IDF criteria. To describe the study variables, measures of central tendency and dispersion measures were used. For association analysis, the Mann-Whitney U test was used and the comparison between means was made using the Kruskal-Wallis test. For correlations, Spearman's correlation test was used. The cutoff values of TyG Index for MetS were obtained using the Receiver Operating Characteristic (ROC) curve analysis with the area under the curve (AUC) and the Youden Index. Results The median TyG values were higher among individuals diagnosed with MetS (P &lt; 0.001), and increased according to the aggregation of the components of MetS. All MetS components were correlated with TyG (P &lt; 0.001). The AUC for NCEP was 0.873 (0.848–0.896; P &lt; 0.001), with Youden's cutoff point of Ln 4.52 (sensitivity: 84.30%; specificity: 75.75%). The AUC for IDF was 0.867 (0.842–0.890; P &lt; 0.001), with Youden's cutoff point of Ln 4.55 (sensitivity: 80.0%; specificity: 79.82%). A cutoff point of Ln 4.52 was defined. Conclusions The TyG Index is a reliable marker for identifying insulin-resistant individuals, and correlates with the metabolic changes present in MetS. A cutoff point of Ln 4,52 has good sensitivity and specificity in both diagnostic criteria of MetS, being useful both in clinical practice and epidemiological studies, and can represent an important tool for the creation of protocols for promotion, protection and recovery health of rural populations. Funding Sources Research Program of the Unified Health System (PPSUS), through the notice FAPES/CNPq/Decit-SCTIE-MS/SESA No. 05/2015 – PPSUS.

scholarly journals Triglycerides and Glucose Index as Potential Marker of Metabolic Syndrome

2020 ◽  
Vol 5 (1) ◽  
pp. 85
Author(s):  
Mariya Tabassum ◽  
Miliva Mozaffor ◽  
Md Matiur Rahman ◽  
Reaz Mahmud Huda
Keyword(s):  
Metabolic Syndrome ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Serum Glucose ◽  
Cross Sectional ◽  
Tyg Index ◽  
Potential Marker ◽  
Sensitivity Specificity

Background:Triglycerides and Glucose Index (TyG index), a product from fasting levels of triglycerides and glucose, presented promising results as apotential marker of metabolic syndrome in different ethnicity. However, no such reports are available in our population to date.Objective: To see the effectiveness of ‘Triglycerides and Glucose Index’ to predict metabolic syndromein a Bangladeshi population.Methods: This cross-sectional study was carried out in Department of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh, from March 2016 to February 2017. A total of 200 apparently healthy subjects (127 men and 73 women) were selected for the study, who attended the out-patient-departments of the same institution. Anthropometric measurements were recorded – height, weight, waist circumference (WC) and body mass index (BMI). Overnight fasting blood samples were collected to estimate fasting serum glucose andlipid profile. Then TyG index was calculated and evaluated as a tool in diagnosis of metabolic syndrome in the study subjects.Receiver operating characteristic (ROC) curves were plotted to assess the performance of TyG index 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 and negative predictive value of TyG index to predict metabolic syndrome were 70.45%, 82.14%, 75.61% and 77.97%in males and 25.00%, 97.32%, 88.00% and 62.29%in females respectively. ROC curve showed optimal cut off value 8.72 and area under the curve 0.72 in male study subjects; in female study subjects, the values were 8.72 and 0.96 respectively (P<0.001).Conclusion:Triglycerides and Glucose Index (TyG index) represents a simple,accessible and effective tool for assessment of metabolic syndrome in Bangladeshi population.International Journal of Human and Health Sciences Vol. 05 No. 01 January’21 Page: 85-89

scholarly journals Identification of lipid accumulation product (LAP) as a marker of metabolic syndrome: a study in healthy population of MMU

2021 ◽  
Vol 12 (2) ◽  
pp. 958-966
Author(s):  
Bhumija Sharma ◽  
Suvarna Prasad ◽  
Sunita Manhas ◽  
Bhawani Shankar Modi ◽  
PriyankaTangri
Keyword(s):  
Metabolic Syndrome ◽  
Lipid Accumulation ◽  
Healthy Subjects ◽  
Disease Risk ◽  
Roc Curves ◽  
Public Health Issue ◽  
Healthy Population ◽  
Lipid Accumulation Product ◽  
Related Disease ◽  
Apparently Healthy

Metabolic syndrome (MetS), is a collection of lipid and non-lipid cardiac related disease risk factors, is an important public health issue because of its higher prevalence with development of diabetes mellitus and cardiovascular diseases. Henry Kahn anticipated lipid accumulation product (LAP), as a novel marker of central lipid accumulation, to predict the risk of MetS. This study was conducted in Department of Biochemistry of MMIMSR, Ambala, Haryana. In the current study, we are researching over a new diagnostic tool for diagnosing MetS by LAP use. MetS is diagnosed by National Cholesterol Education Program Adults treatment panel III (NCEPATP III) and then compared with LAP to find its efficacy over other variables. 200 volunteers were enrolled in this study, their biochemical parameters were estimated and anthropometric measurements were taken. MetS was diagnosed in apparently healthy subjects. LAP was calculated by Henry Kahn formula and required statistical tools were applied to analyse results. The parameters of MetS positive cases were compared with LAP and its validity was tested statistically. 56 (28%) out of 200 subjects were positive for MetS. More females (30) than males (26) were diagnosed positive for MetS. LAP values were found to be higher in MetS cases, its efficacy was confirmed by ROC curves. MetS was diagnosed in volunteers who were considering themselves as healthy. Raised LAP and LAP2 were found, in MetS positive subjects than MetS negative. Relation of LAP and MetS came to be strong. Further, researches in this area are definitely recommended.

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.

Value of lipid accumulation product for the assessment of metabolic syndrome in women with polycystic ovary syndrome

2013 ◽  
Author(s):  
Antic Ivana Bozic ◽  
Jelica Bjekic-Macut ◽  
Dimitrios Panidis ◽  
Danijela Vojnovic Milutinovic ◽  
Biljana Kastratovic ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Polycystic Ovary Syndrome ◽  
Lipid Accumulation ◽  
Polycystic Ovary ◽  
Lipid Accumulation Product ◽  
Ovary Syndrome

Muscle strength cut-points for metabolic syndrome detection among adults and the elderly from Brazil

2021 ◽  
Vol 46 (4) ◽  
pp. 379-388
Author(s):  
Tiago Rodrigues de Lima ◽  
David Alejandro González-Chica ◽  
Eleonora D’Orsi ◽  
Xuemei Sui ◽  
Diego Augusto Santos Silva
Keyword(s):  
Metabolic Syndrome ◽  
Muscle Strength ◽  
Lifestyle Modification ◽  
Handgrip Strength ◽  
Area Under The Curve ◽  
Roc Curves ◽  
The Elderly ◽  
Youden Index ◽  
Cross Sectional ◽  
Cut Points

We aimed to determine cut-points for muscle strength based on metabolic syndrome diagnosis. This cross-sectional analysis comprised data from 2 cohorts in Brazil (EpiFloripa Adult, n = 626, 44.0 ± 11.1 years; EpiFloripa Aging, n = 365, 71.6 ± 6.1 years). Metabolic syndrome was assessed by relative handgrip strength (kgf/kg). Metabolic syndrome was defined as including ≥3 of the 5 metabolic abnormalities according to the Joint Interim Statement. Optimal cut-points from Receiver Operating Characteristic (ROC) curves were determined. Adjusted logistic regression was used to test the association between metabolic syndrome and the cut-points created. The cut-point identified for muscle strength was 1.07 kgf/kg (Youden index = 0.310; area under the curve (AUC)) = 0.693, 95% CI 0.614–0.764) for men and 0.73 kgf/kg (Youden index = 0.481; AUC = 0.768, 95% confidence interval (CI) = 0.709–0.821) for women (age group 25 to < 50 years). The best cut-points for men and women aged 50+ years were 0.99 kgf/kg (Youden index = 0.312; AUC = 0.651; 95% CI = 0.583–0.714) and 0.58 kgf/kg (Youden index = 0.378; AUC = 0.743; 95% CI = 0.696–0.786), respectively. Cut-points derived from ROC analysis have good discriminatory power for metabolic syndrome among adults aged 25 to <50 years but not for adults aged 50+ years. Novelty: First-line management recommendation for metabolic syndrome is lifestyle modification, including improvement of muscle strength. Cut-points for muscle strength levels according to sex and age range based on metabolic syndrome were created. Cut-points for muscle strength can assist in the identification of adults at risk for cardiometabolic disease.

scholarly journals PEMERIKSAAN TINGKAT sdLDL SERUM SEBAGAI PETANDA DIAGNOSTIK STENOSIS KORONER (Serum sdLDL Level as A Diagnostic Marker of Coronary Stenosis)

2018 ◽  
Vol 22 (1) ◽  
pp. 9
Author(s):  
Indranila K Samsuria ◽  
Laily Adninta
Keyword(s):  
Predictive Value ◽  
Coronary Stenosis ◽  
Area Under The Curve ◽  
Clinical Pathology ◽  
Diagnostic Value ◽  
T Test ◽  
Cross Sectional ◽  
Increased Risk ◽  
Test Kit ◽  
Vascular Stenosis

Small dense LDL (sdLDL) is the LDL which particles are small and dense, it is pro-atherogenic. Increased levels of serum sdLDL areassociated with an increased risk of coronary stenosis. The aim of this study was to examine the diagnostic value of sd LDL in coronarystenosis. An analytical observational study with cross sectional approach was conducted at the Department of Clinical Pathology, MedicalFaculty of Diponegoro University/Dr. Kariadi Hospital and the Unit of Cardiac diseases during the period of March-October 2013. Thesubjects were 39 patients suspected of suffering a coronary stenosis. The diagnosis of coronary stenosis, degree of stenosis and numberof vascular stenosis was established at the time of cardiac catheterization. SdLDL assessment used a test kit. The statistical analysis usedwere unpaired t-test, Spearman correlation test, ROC analysis and diagnostic test. LDL levels in stenosis subjects, 35.4±9.01 mg/dL weresignificantly higher compared to levels in subjects that had no stenosis, 20.7±7.10 mg/dL (p<0.001; unpaired t-test). Correlation testresults showed a correlation between levels of serum sdLDL with severe degree of stenosis (correlation coefficient -0.64, p <0.001) and amoderate positive correlation between the number of vascular stenosis (Coefficient correlation 0.46; p=0.003; Spearman Correlation’sTest). The area under the curve of ROC was 0.9 (p <0.001). The cut off levels sdLDL were used to detect stenosis. The results showeda sensitivity of 85.2%, specificity of 75%, positive predictive value of 88.5%, negative predictive value of 69.2% and accuracy of 82%.Levels of serum sdLDL were associated with severe to extensive stenosis degree, and showed a good diagnostic value, thus, it can beused for screening to determine the presence of coronary stenosis.

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