{"title":"Study of association and diagnostic utility of novel anthropometric and lipid indices for nonalcoholic fatty liver disease: A hospital-based study.","authors":"Anand K Pyati, Sakthivadivel Varatharajan, Abhishek Arora, Vaman Kulkarni, Aparna Varma Bhongir, Sangeetha Sampath, Gomathi Ramaswamy, Madhu Latha Karra, Priyanka Das, Pawan Pagaku","doi":"10.4103/jfmpc.jfmpc_1609_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Context: </strong>Given the prevalence of nonalcoholic fatty liver disease (NAFLD) of 25% and an expected prevalence of 55.4% by 2040 and its associated complications, it is essential to prioritize large-scale screening programs in the general population.</p><p><strong>Objectives: </strong>1. To examine the association of the conventional and novel anthropometric and lipid indices in NAFLD and 2. To determine diagnostic ability, their cutoff values, and best parameter/model for detecting NAFLD.</p><p><strong>Settings and design: </strong>A case-control study was done among 262 NAFLD cases and 186 non-NAFLD controls in a tertiary care hospital.</p><p><strong>Methods and material: </strong>BMI, WC/Ht, LAP, VAI, TC, TG, HDL, LDL, VLDL, Non-HDL-C, TG: HDL-C, TC: HDL-C, LDL-C/HDL-C, TyG, CMI, RC, AIP, and AC were measured/calculated by recommended methods.</p><p><strong>Statistical analysis used: </strong>Binary univariate and multivariate logistic regression analyses and ROC analysis to determine the association, best statistical model, and diagnostic validity of study variables.</p><p><strong>Results: </strong>The individuals with BMI >30 had highest risk (OR = 9.636) of NAFLD followed by those with TG >500 mg/dl (7.054), LAPM (3.157) and LAPF (2.975), WC (M) (3.07), WC: Ht >0.6 (2.893), TyG (2.361), VAI-M (2.053), and VAI-F (2.253) in decreasing order. On ROC analysis, anthropometric parameters outperformed the lipid indices, among which BMI [AUC = 0.702; <i>P</i> < 0.001] and WC [0.671; <i>P</i> < 0.001] showed the highest AUC, followed by WC: Ht [0.657; <i>P</i> < 0.001]. Among lipid indices, LAP had the highest AUC [0.666; <i>P</i> < 0.001], followed by CMI [0.629; <i>P</i> < 0.001] and TyG [0.621; <i>P</i> < 0.001].</p><p><strong>Conclusion: </strong>BMI, WC, LAP, WC/Ht, VAI, CMI, and TyG are the best simple and reliable indices for predicting/detecting NAFLD in the decreasing order of their diagnostic abilities which can identify the population at risk of NAFLD.</p>","PeriodicalId":15856,"journal":{"name":"Journal of Family Medicine and Primary Care","volume":"14 6","pages":"2365-2373"},"PeriodicalIF":1.0000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12296360/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Family Medicine and Primary Care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/jfmpc.jfmpc_1609_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/30 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"PRIMARY HEALTH CARE","Score":null,"Total":0}
引用次数: 0
Abstract
Context: Given the prevalence of nonalcoholic fatty liver disease (NAFLD) of 25% and an expected prevalence of 55.4% by 2040 and its associated complications, it is essential to prioritize large-scale screening programs in the general population.
Objectives: 1. To examine the association of the conventional and novel anthropometric and lipid indices in NAFLD and 2. To determine diagnostic ability, their cutoff values, and best parameter/model for detecting NAFLD.
Settings and design: A case-control study was done among 262 NAFLD cases and 186 non-NAFLD controls in a tertiary care hospital.
Methods and material: BMI, WC/Ht, LAP, VAI, TC, TG, HDL, LDL, VLDL, Non-HDL-C, TG: HDL-C, TC: HDL-C, LDL-C/HDL-C, TyG, CMI, RC, AIP, and AC were measured/calculated by recommended methods.
Statistical analysis used: Binary univariate and multivariate logistic regression analyses and ROC analysis to determine the association, best statistical model, and diagnostic validity of study variables.
Results: The individuals with BMI >30 had highest risk (OR = 9.636) of NAFLD followed by those with TG >500 mg/dl (7.054), LAPM (3.157) and LAPF (2.975), WC (M) (3.07), WC: Ht >0.6 (2.893), TyG (2.361), VAI-M (2.053), and VAI-F (2.253) in decreasing order. On ROC analysis, anthropometric parameters outperformed the lipid indices, among which BMI [AUC = 0.702; P < 0.001] and WC [0.671; P < 0.001] showed the highest AUC, followed by WC: Ht [0.657; P < 0.001]. Among lipid indices, LAP had the highest AUC [0.666; P < 0.001], followed by CMI [0.629; P < 0.001] and TyG [0.621; P < 0.001].
Conclusion: BMI, WC, LAP, WC/Ht, VAI, CMI, and TyG are the best simple and reliable indices for predicting/detecting NAFLD in the decreasing order of their diagnostic abilities which can identify the population at risk of NAFLD.