{"title":"一项基于医院的研究:新型人体测量和脂质指标与非酒精性脂肪性肝病的相关性和诊断效用","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":"{\"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}","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}
Study of association and diagnostic utility of novel anthropometric and lipid indices for nonalcoholic fatty liver disease: A hospital-based study.
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.