Correlation between HbA1C and Infarct Volume in Acute Ischemic Stroke

Diah Kurnia Mirawati; Navidya Ade Riany; Subandi Subandi; Baarid Luqman Hamidi; Rachmi Fauziyah Rahayu; Pepi Budianto; Muhammad Hafizhan; Stefanus Erdana Putra

doi:10.3889/oamjms.2022.9443

Authors

Diah Kurnia Mirawati Department of Neurology, Medical Faculty, Universitas Sebelas Maret, Surakarta, Indonesia
Navidya A Riany Department of Neurology, Medical Faculty, Universitas Sebelas Maret, Surakarta, Indonesia
Subandi Subandi Department of Neurology, Medical Faculty, Universitas Sebelas Maret, Surakarta, Indonesia
Baarid Luqman Hamidi Department of Neurology, Medical Faculty, Universitas Sebelas Maret, Surakarta, Indonesia
Rachmi Fauziyah Rahayu Department of Radiology
Pepi Budianto Department of Neurology, Medical Faculty, Universitas Sebelas Maret, Surakarta, Indonesia
Muhammad Hafizhan Department of Neurology, Medical Faculty, Universitas Sebelas Maret, Surakarta, Indonesia
Stefanus Erdana Putra Department of Neurology, Medical Faculty, Universitas Sebelas Maret, Surakarta, Indonesia https://orcid.org/0000-0003-2613-0711

DOI:

https://doi.org/10.3889/oamjms.2022.9443

Keywords:

Hemoglobin A1C, Glycaemic control, Infarct volume, Ischemic stroke

Abstract

BACKGROUND: Stroke is second leading cause of death worldwide. Chronic hyperglycemia can promote neuronal toxicity. The previous study shows that acute hyperglycemia is correlated with infarct volume of ischemic stroke.

AIM: This study aims to investigate the correlation between hemoglobin A1C (HbA1C) and infarct volume on acute ischemic stroke.

METHODS: This is a cross-sectional study in acute ischemic stroke patient in Dr. Moewardi General Hospital, Surakarta, Indonesia. Data of infarct volume were collected from head computed tomography (CT)-scan and calculated with A × B × C/2 formula. We also collected lipid and patients’ glycemic profile from patients’ blood laboratory result. Head CT-scan and laboratory data of participants analyzed with Pearson and Spearman’s rho test for parametric and non-parametric data, respectively. We also performed multivariate analysis to evaluate confounding covariates. p < 0.05 was considered as statistically significant.

RESULTS: A total of 38 participants were included in this study, with mean infarct volume was 0.46 ± 0.64cc and mean HbA1C was 6.96 ± 2.69%. Bivariate analysis shows strong positive correlation between infarct volume and HbA1C with r = 0.898 (p < 0.001). Other variable that showed a significant correlation with infarct volume were diabetes mellitus history (r = 0.671; p < 0.001), random blood su gar (r = 0.466; p = 0.003), fasting blood sugar (r = 0.636; p < 0.001), 2-h postprandial glucose level (r = 0.646; p ≤ 0.001), high density lipoprotein (r = −0.354; p = 0.029), and triglyceride (r = 0.429; p = 0.007). Based on multivariate analysis, HbA1C regression coefficient on infarct volume was B = 0.222 (p < 0.001), indicating that HbA1C as one of the variables contributing to volume of infarct.

CONCLUSIONS: There is a strong positive correlation between infarct volume and HbA1C, and HbA1C is variable contribute to the volume of infarct.

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