scholarly journals Lipid Accumulation Product (LAP) Index as Predictor Tool for Metabolic Syndrome

2022 ◽  
Vol 40 (1) ◽  
pp. 1-2
Author(s):  
Md Faruque Pathan

Abstract not available J Bangladesh Coll Phys Surg 2022; 40: 1-2

2013 ◽  
Author(s):  
Antic Ivana Bozic ◽  
Jelica Bjekic-Macut ◽  
Dimitrios Panidis ◽  
Danijela Vojnovic Milutinovic ◽  
Biljana Kastratovic ◽  
...  

2018 ◽  
Vol 16 (10) ◽  
pp. 505-506
Author(s):  
Cristina Nita ◽  
Adriana Rusu ◽  
Nicolae Hancu ◽  
Gabriela Roman ◽  
Cornelia Bala

QJM ◽  
2020 ◽  
Author(s):  
X Zhang ◽  
F Hong ◽  
L Liu ◽  
F Nie ◽  
L Du ◽  
...  

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 < 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.


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