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Glucose Fluctuations in Acute Ischemic Stroke.
Fountouki, Antigoni; Tegos, Thomas; Psoma, Elizabeth; Makedou, Keli; Kakaletsis, Nikolaos; Kaiafa, Georgia; Didangelos, Triantafyllos; Theofanidis, Dimitrios; Savopoulos, Christos.
Afiliación
  • Fountouki A; Department of Nursing, International Hellenic University, Thessaloniki, GRC.
  • Tegos T; 1st Department of Neurology, AHEPA University General Hospital, School of Medicine, Aristotle University, Thessaloniki, GRC.
  • Psoma E; Department of Radiology, AHEPA University General Hospital, Aristotle University, Thessaloniki, GRC.
  • Makedou K; Laboratory of Biochemistry, AHEPA University General Hospital, School of Medicine, Aristotle University, Thessaloniki, GRC.
  • Kakaletsis N; 1st Propaedeutic Department of Internal Medicine, AHEPA University General Hospital, Aristotle University, Thessaloniki, GRC.
  • Kaiafa G; 1st Propaedeutic Department of Internal Medicine, AHEPA University General Hospital, School of Medicine, Aristotle University, Thessaloniki, GRC.
  • Didangelos T; 1st Propaedeutic Department of Internal Medicine/Diabetic Care Unit, AHEPA University General Hospital, School of Medicine, Aristotle University, Thessaloniki, GRC.
  • Theofanidis D; Department of Nursing, International Hellenic University, Thessaloniki, GRC.
  • Savopoulos C; 1st Propaedeutic Department of Internal Medicine, AHEPA University General Hospital, School of Medicine, Aristotle University, Thessaloniki, GRC.
Cureus ; 16(6): e61939, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38978906
ABSTRACT

INTRODUCTION:

The Oxfordshire Community Stroke Project denotes four subtypes of ischemic stroke (total and partial anterior infarct, posterior, and lacunar). Hyperglycemia has been associated with a larger infarct size and poor prognosis.

AIM:

The purpose of the study was to investigate the correlation of glucose fluctuations with the Oxford sub-categories and patient outcomes using a blinded continuous glucose monitoring system.

METHODS:

This is a non-interventional prospective observational study. Stroke patients with symptoms onset in the last 24h, participated in the study. A glucose sensor was placed for 72 hours. Disability was assessed using the modified Rankin Scale. Stroke subtypes were compared with total mean glucose and time in range using ANOVA analysis. Multiple ordinal logistic regression was employed to analyze outcomes and survival.

RESULTS:

The sample consisted of 105 diabetic and non-diabetic patients. The overall mean glucose was 127.06 mg/dL and the time in range (70-140 mg/dL) was 70.98%. There was no significant difference between the stroke sub-categories and the total mean glucose. For every one-point increase in the time in range, we expect a 1.5% reduction in the odds of having a worse outcome. Patients with total anterior infarct are 2.31 times more likely to have a worse outcome than lacunar patients.

CONCLUSION:

The utilization of the Oxford classification may not be necessary for managing acute ischemic stroke glucose levels. Achieving glucose regulation and an increase in time in range can be attained through meticulous control, potentially extending life expectancy. Continuous glucose monitors may aid in achieving this objective.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cureus Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cureus Año: 2024 Tipo del documento: Article
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