The Predictive Role of the Triglyceride/Glucose Index in Patients with Hypercholesterolemia and Acute Ischemic Stroke.

hypercholesterolemia insulin resistance ischemic stroke outcome prognosis severity triglyceride/glucose index

Journal

Reviews in cardiovascular medicine
ISSN: 1530-6550
Titre abrégé: Rev Cardiovasc Med
Pays: Singapore
ID NLM: 100960007

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 21 07 2022
revised: 08 11 2022
accepted: 10 11 2022
medline: 9 12 2022
pubmed: 9 12 2022
entrez: 30 7 2024
Statut: epublish

Résumé

The triglyceride/glucose index (TyG) reflects insulin resistance and predicts the risk of acute ischemic stroke (aIS). However, it is uncertain if this index predicts the severity and outcome of aIS because studies that addressed this question are few and all were performed in Asian subjects. Moreover, there are no studies that focused on patients with hypercholesterolemia. We studied 997 Caucasian patients who were hospitalized for aIS and had hypercholesterolemia. aIS severity was assessed at admission with the National Institutes of Health Stroke Scale (NIHSS) and severe aIS was defined as NIHSS The TyG index did not correlate with the NIHSS at admission (r = 0.032, The TyG index does not appear to be associated with the severity or the outcome of aIS. Nevertheless, since there are few relevant data in Caucasians and the TyG index is an inexpensive and widely available biomarker, more studies in this ethnic group are required to determine the predictive role of this index in patients with aIS.

Sections du résumé

Background UNASSIGNED
The triglyceride/glucose index (TyG) reflects insulin resistance and predicts the risk of acute ischemic stroke (aIS). However, it is uncertain if this index predicts the severity and outcome of aIS because studies that addressed this question are few and all were performed in Asian subjects. Moreover, there are no studies that focused on patients with hypercholesterolemia.
Methods UNASSIGNED
We studied 997 Caucasian patients who were hospitalized for aIS and had hypercholesterolemia. aIS severity was assessed at admission with the National Institutes of Health Stroke Scale (NIHSS) and severe aIS was defined as NIHSS
Results UNASSIGNED
The TyG index did not correlate with the NIHSS at admission (r = 0.032,
Conclusions UNASSIGNED
The TyG index does not appear to be associated with the severity or the outcome of aIS. Nevertheless, since there are few relevant data in Caucasians and the TyG index is an inexpensive and widely available biomarker, more studies in this ethnic group are required to determine the predictive role of this index in patients with aIS.

Identifiants

pubmed: 39076671
doi: 10.31083/j.rcm2312399
pii: S1530-6550(22)00763-3
pmc: PMC11270394
doi:

Types de publication

Journal Article

Langues

eng

Pagination

399

Informations de copyright

Copyright: © 2022 The Author(s). Published by IMR Press.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest. Konstantinos Tziomalos is serving as Guest Editor of this journal. We declare that Konstantinos Tziomalos had no involvement in the peer review of this article and has no access to information regarding its peer review. Full responsibility for the editorial process for this article was delegated to Brian Tomlinson.

Auteurs

Christodoula Kourtidou (C)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Eleftheria Ztriva (E)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Danai-Thomais Kostourou (DT)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Georgios Polychronopoulos (G)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Sarantis Satsoglou (S)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Georgios Chatzopoulos (G)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Anastasia Kontana (A)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Marios Tzavelas (M)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Evripidis Valanikas (E)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Stavroula Veneti (S)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Areti Sofogianni (A)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Dimitrios Milonas (D)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Achilleas Papagiannis (A)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Christos Savopoulos (C)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Konstantinos Tziomalos (K)

First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, 54636 Thessaloniki, Greece.

Classifications MeSH