Insulin Resistance Predicts Severity of Coronary Atherosclerotic Disease in Non-Diabetic Patients.

cardiovascular prevention coronary atherosclerosis insulin resistance

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
07 Jul 2020
Historique:
received: 21 05 2020
revised: 23 06 2020
accepted: 27 06 2020
entrez: 11 7 2020
pubmed: 11 7 2020
medline: 11 7 2020
Statut: epublish

Résumé

Insulin resistance (IR) in patients with type 2 diabetes mellitus (T2DM) represents a predictor of coronary artery disease (CAD). However, how IR is able to impact the severity of coronary atherosclerosis in non-diabetic patients is unknown. We investigated the relation between the IR and the extent and severity of coronary atherosclerosis in non-diabetic patients referred to coronary angiography (CA) Methods: Consecutive patients undergoing to CA for acute coronary syndromes or stable angina were analyzed. The IR was assessed by mean of the homeostasis model assessment of insulin resistance (HOMA-IR) whereas the SYNTAX score (SS) was used as index of the severity of coronary atherosclerosis Results: Overall, 126 patients were included, with a median SS of 12 (IQR 5.25-20.5). Patients were divided in four groups according to the distribution in quartiles of SS (SS1-2-3-4). A significant correlation between HOMA-IR and SS was observed, especially in women. A progressive increase of HOMA-IR was observed in parallel with the increasing severity (from SS1 to SS4) and extension (1-2-3-vessel disease) of coronary atherosclerosis. Multivariable analysis showed that the HOMA-IR was the strongest independent predictor of severe (SS4) and extensive (three-vessel disease) coronary atherosclerosis. Insulin resistance goes hand in hand with the extension and severity of coronary atherosclerosis in non-diabetic patients. The HOMA index is an independent predictor of three-vessel disease at CA. The HOMA index could be useful for risk stratification of CAD even in absence of T2DM.

Sections du résumé

BACKGROUND BACKGROUND
Insulin resistance (IR) in patients with type 2 diabetes mellitus (T2DM) represents a predictor of coronary artery disease (CAD). However, how IR is able to impact the severity of coronary atherosclerosis in non-diabetic patients is unknown.
OBJECTIVES OBJECTIVE
We investigated the relation between the IR and the extent and severity of coronary atherosclerosis in non-diabetic patients referred to coronary angiography (CA) Methods: Consecutive patients undergoing to CA for acute coronary syndromes or stable angina were analyzed. The IR was assessed by mean of the homeostasis model assessment of insulin resistance (HOMA-IR) whereas the SYNTAX score (SS) was used as index of the severity of coronary atherosclerosis Results: Overall, 126 patients were included, with a median SS of 12 (IQR 5.25-20.5). Patients were divided in four groups according to the distribution in quartiles of SS (SS1-2-3-4). A significant correlation between HOMA-IR and SS was observed, especially in women. A progressive increase of HOMA-IR was observed in parallel with the increasing severity (from SS1 to SS4) and extension (1-2-3-vessel disease) of coronary atherosclerosis. Multivariable analysis showed that the HOMA-IR was the strongest independent predictor of severe (SS4) and extensive (three-vessel disease) coronary atherosclerosis.
CONCLUSION CONCLUSIONS
Insulin resistance goes hand in hand with the extension and severity of coronary atherosclerosis in non-diabetic patients. The HOMA index is an independent predictor of three-vessel disease at CA. The HOMA index could be useful for risk stratification of CAD even in absence of T2DM.

Identifiants

pubmed: 32646007
pii: jcm9072144
doi: 10.3390/jcm9072144
pmc: PMC7408744
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Teresa Strisciuglio (T)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Raffaele Izzo (R)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Emanuele Barbato (E)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Giuseppe Di Gioia (G)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.
Cardiovascular Research Center OLV Hospital, 9300 Aalst, Belgium.

Iginio Colaiori (I)

Cardiovascular Research Center OLV Hospital, 9300 Aalst, Belgium.

Antonella Fiordelisi (A)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Carmine Morisco (C)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Jozef Bartunek (J)

Cardiovascular Research Center OLV Hospital, 9300 Aalst, Belgium.

Danilo Franco (D)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Giuseppe Ammirati (G)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Valerio Pergola (V)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Livio Imparato (L)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Bruno Trimarco (B)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Giovanni Esposito (G)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Antonio Rapacciuolo (A)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Classifications MeSH