Evidence map›Paper›PMID 40726711›Full record

ArticleJournal of family medicine and primary care2025

Study of association and diagnostic utility of novel anthropometric and lipid indices for nonalcoholic fatty liver disease: A hospital-based study.

Anand K Pyati, Sakthivadivel Varatharajan, Abhishek Arora, Vaman Kulkarni, Aparna Varma Bhongir, Sangeetha Sampath, Gomathi Ramaswamy, Madhu Latha Karra, Priyanka Das, Pawan Pagaku

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Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Anand K PyatiDepartment of Biochemistry, AIIMS, Bibinagar, Telangana, India.
Sakthivadivel VaratharajanDepartment of General Medicine, AIIMS, Bibinagar, Telangana, India.
Abhishek AroraDepartment of Radio-diagnosis, AIIMS, Bibinagar, Telangana, India.
Vaman KulkarniDepartment of Community and Family Medicine, AIIMS, Bibinagar, Telangana, India.
Aparna Varma BhongirDepartment of Biochemistry, AIIMS, Bibinagar, Telangana, India.
Sangeetha SampathDepartment of Biochemistry, AIIMS, Bibinagar, Telangana, India.
Gomathi RamaswamyDepartment of Community and Family Medicine, AIIMS, Bibinagar, Telangana, India.
Madhu Latha KarraDepartment of Biochemistry, AIIMS, Bibinagar, Telangana, India.
Priyanka DasDepartment of Biochemistry, AIIMS, Bibinagar, Telangana, India.
Pawan PagakuDepartment of Biochemistry, AIIMS, Bibinagar, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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; 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.

Indexed as

AnthropometricCMILAPlipid indicesNAFLDTyGVAI

Identifiers

PMID40726711
PMCPMC12296360

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.