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. 2023 Feb 14;23(1):39.
doi: 10.1186/s12902-023-01291-9.

Are HOMA-IR and HOMA-B good predictors for diabetes and pre-diabetes subtypes?

Davood Khalili #  1   2 , Marjan Khayamzadeh #  3 , Karim Kohansal  3   4 , Noushin Sadat Ahanchi  3 , Mitra Hasheminia  3 , Farzad Hadaegh  3 , Maryam Tohidi  3 , Fereidoun Azizi  5 , Ali Siamak Habibi-Moeini  6
Affiliations

Are HOMA-IR and HOMA-B good predictors for diabetes and pre-diabetes subtypes?

Davood Khalili et al. BMC Endocr Disord. .

Abstract

Background: To investigate the association between the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and Homeostasis Model Assessment of Beta-cell function (HOMA-B) with the incidence of diabetes and pre-diabetes subtypes.

Methods: A total of 3101 normoglycemic people aged 20-70 years were included in the 6-year follow-up study. Multinomial logistic regression was used to calculate the incidence possibility of isolated Impaired Fasting Glucose (iIFG), isolated Impaired Glucose Tolerance (iIGT), Combined impaired fasting glucose & impaired glucose tolerance (CGI), and Diabetes Mellitus (DM) per standard deviation (SD) increment in HOMA-IR and HOMA-B in the crude and multivariable model.

Results: In the multivariate model, an increase in one SD change in HOMA-IR was associated with a 43, 42, 75, and 92% increased risk of iIFG, iIGT, CGI, and DM, respectively. There was a positive correlation between the increase in HOMA-B and the incidence of iIGT; however, after adjusting the results for metabolic syndrome components, it was inversely correlated with the incidence of iIFG [Odds Ratio = 0.86(0.75-0.99)].

Conclusions: HOMA-IR is positively correlated with diabetes and pre-diabetes subtypes' incidence, and HOMA-B is inversely correlated with the incidence of iIFG but positively correlated with iIGT incidence. However, none of these alone is a good criterion for predicting diabetes and pre-diabetes.

Keywords: Diabetes; HOMA-B; HOMA-IR; Impaired fasting glucose; Impaired glucose tolerance; Prediabetes; Prediabetic state.

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Conflict of interest statement

The author(s) has/have no competing interests to declare.

Figures

Fig. 1
Fig. 1
Study participants flowchart
Fig. 2
Fig. 2
Relationship between A HOMA-IR and pre-diabetes/diabetes incidence B HOMA-B and pre-diabetes/diabetes incidence
Fig. 3
Fig. 3
ROC diagram for the association between A HOMA-IR and B HOMA-B with the incidence of pre-diabetes/diabetes C HOMA-IR and incidence of iIFG, D HOMA-B and incidence of iIFG, E HOMA-IR and incidence of iIGT, F HOMA-B and incidence of iIGT, during 6 years. ROC curves show discrimination between iIFG and iIGT with normoglycemia
See this image and copyright information in PMC

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