Atherogenic index of plasma, lipid accumulation and visceral adiposity in metabolic syndrome patients.

Metabolic syndrome Diabetes Mellitus adiposity index atherogenic index

Journal

Bioinformation
ISSN: 0973-2063
Titre abrégé: Bioinformation
Pays: Singapore
ID NLM: 101258255

Informations de publication

Date de publication:
2022
Historique:
received: 01 11 2022
revised: 29 11 2022
accepted: 30 11 2022
medline: 11 9 2023
pubmed: 11 9 2023
entrez: 11 9 2023
Statut: epublish

Résumé

Metabolic syndrome is a cluster of various clinical and biochemical abnormalities, needs early diagnosis and treatment to reduce morbidity and mortality. The present study is designed to compare Atherogenic Index of Plasma, Lipid Accumulation Product and Visceral Adiposity Index with metabolic syndrome components in patients with metabolic syndrome. The study comprises of 150 metabolic syndrome patients and 150 age and sex matched healthy controls of both genders in the age group of 20 - 65 years. Atherogenic Index of Plasma, lipid accumulation and Visceral Adiposity Index product index were calculated for all participants. Pearson Correlation was used to compareatherogenic Index of plasma, lipid accumulation and Visceral Adiposity Index product between cases and controls. The receiver operating characteristic curve (ROC) was used to compare the area under the ROC curve (AUC) of Atherogenic Index of Plasma, lipid accumulation and Visceral Adiposity Index product with metabolic syndrome. The comparisons between the BMI, WC, Atherogenic Index of Plasma ,lipid accumulation and Visceral Adiposity Index product were significantly higher in metabolic syndrome cases (p<0.001).Although the entire index were independently associated with Mets, AIP showed the highest area under the curve (0.954, 95% CI 0.929 0.978,p value p<0.0001) in identifying metabolic syndrome.

Identifiants

pubmed: 37693075
doi: 10.6026/973206300181109
pii: 973206300181109
pmc: PMC10484698
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1109-1113

Informations de copyright

© 2022 Biomedical Informatics.

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Auteurs

Sabarinathan M (S)

Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam - 602015, Chennai, Tamilnadu, India.

Deepak Rajan Ds (DR)

Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam - 602015, Chennai, Tamilnadu, India.

Ananthi N (A)

Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam - 602015, Chennai, Tamilnadu, India.

Madhan Krishnan (M)

Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam-603103, Tamilnadu, India.

Classifications MeSH