HOMA-IR value in predicting retinal microvascular dysfunction

Obesity and retinal microvasculature dysfunction are linked and impact visual acuity. The aim of this study was to determine the relationship between the HOMA-IR score and the presence of vascular dysfunction (capillary perfusion and flux index) of the optic nerve head (ONH) of the retina in obese patients and to determine its diagnostic performance to predict vascular dysfunction. A case-control study was conducted in 2022 involving individuals from obese and non-obese groups. Insulin resistance was measured using the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) score using the levels of insulin and fasting glucose. Optical coherence tomography angiography (OCT-A) was performed to evaluate the flux index and capillary perfusion of ONH. The correlation between HOMA-IR, flux index, and capillary perfusion was assessed using Pearson's correlation, and the diagnostic performance of HOMA-IR, including sensitivity, specificity, and the area under the curve (AUC), was measured. Logistic regression was used to identify the association between the HOMA-IR cutoff score with the presence of retinal microvascular dysfunction. A total of 80 individuals were included from each obese and non-obese group. The HOMA-IR score showed significant negative correlations with the perfusion of the superior (<i>p</i> < 0.001), inferior (<i>p</i> < 0.001), and outer (<i>p</i> = 0.008) regions of the retinal of ONH. For the flux index, the HOMA-IR score had significant negative correlations with the superior (<i>p</i> = 0.001), inferior (<i>p</i> < 0.001), nasal (<i>p</i> = 0.003), and outer (<i>p</i> = 0.035) regions of ONH of the retina. The receiver operating characteristic (ROC) curve analysis for the HOMA-IR score at a cutoff value of 5.51 demonstrated an area under the curve (AUC) of 0.819, with a 95% confidence interval (CI) ranging from 0.727 to 0.912, suggesting its effectiveness in detecting vascular dysfunction. Multivariate logistic regression revealed a significant association between the HOMA-IR cutoff score of 5.51 with capillary perfusion of the superior (<i>p</i> = 0.005) and nasal region (<i>p</i> = 0.043), as well as the flux index of the inferior (<i>p</i> = 0.013) and outer (<i>p</i> = 0.022) regions of the ONH. These findings suggest that HOMA-IR is a promising biomarker for predicting retinal microvascular dysfunction in obese patients.

Authors

Institutions

Publication Details

Journal
Narra J
Published
2024-12-31
DOI
https://doi.org/10.52225/narra.v4i3.1732
Primary Topic
Retinal Diseases and Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HOMA-IR value in predicting retinal microvascular dysfunction

Aulia A. H. Abdullah, Intan Kautsarani, Agustin Iskandar, Kristina Yuniasih
Narra J
Retinal Diseases and Treatments
article

HOMA-IR value in predicting retinal microvascular dysfunction

Aulia A. H. Abdullah, Intan Kautsarani, Agustin Iskandar, Kristina Yuniasih
article en

Abstract

Obesity and retinal microvasculature dysfunction are linked and impact visual acuity. The aim of this study was to determine the relationship between the HOMA-IR score and the presence of vascular dysfunction (capillary perfusion and flux index) of the optic nerve head (ONH) of the retina in obese patients and to determine its diagnostic performance to predict vascular dysfunction. A case-control study was conducted in 2022 involving individuals from obese and non-obese groups. Insulin resistance was measured using the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) score using the levels of insulin and fasting glucose. Optical coherence tomography angiography (OCT-A) was performed to evaluate the flux index and capillary perfusion of ONH. The correlation between HOMA-IR, flux index, and capillary perfusion was assessed using Pearson's correlation, and the diagnostic performance of HOMA-IR, including sensitivity, specificity, and the area under the curve (AUC), was measured. Logistic regression was used to identify the association between the HOMA-IR cutoff score with the presence of retinal microvascular dysfunction. A total of 80 individuals were included from each obese and non-obese group. The HOMA-IR score showed significant negative correlations with the perfusion of the superior (<i>p</i> < 0.001), inferior (<i>p</i> < 0.001), and outer (<i>p</i> = 0.008) regions of the retinal of ONH. For the flux index, the HOMA-IR score had significant negative correlations with the superior (<i>p</i> = 0.001), inferior (<i>p</i> < 0.001), nasal (<i>p</i> = 0.003), and outer (<i>p</i> = 0.035) regions of ONH of the retina. The receiver operating characteristic (ROC) curve analysis for the HOMA-IR score at a cutoff value of 5.51 demonstrated an area under the curve (AUC) of 0.819, with a 95% confidence interval (CI) ranging from 0.727 to 0.912, suggesting its effectiveness in detecting vascular dysfunction. Multivariate logistic regression revealed a significant association between the HOMA-IR cutoff score of 5.51 with capillary perfusion of the superior (<i>p</i> = 0.005) and nasal region (<i>p</i> = 0.043), as well as the flux index of the inferior (<i>p</i> = 0.013) and outer (<i>p</i> = 0.022) regions of the ONH. These findings suggest that HOMA-IR is a promising biomarker for predicting retinal microvascular dysfunction in obese patients.

Narra JVol. 4(3)
University of Brawijaya (ID), RSUD Prof. Dr. Saiful Anwar Malang (ID)
Universitas Brawijaya
Good health and well-being
Openalex Percentile: Top 60%
Retinal Diseases and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.