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Hyperglycemic Patterns in Acute Stroke Patients.
Fountouki, Antigoni; Tegos, Thomas; Ztriva, Eleftheria; Kaiafa, Georgia; Didangelos, Triantafyllos; Theofanidis, Dimitrios; Savopoulos, Christos.
Afiliação
  • Fountouki A; Nursing, International Hellenic University, Thessaloniki, GRC.
  • Tegos T; 1st Department of Neurology, AHEPA University Hospital, Medical School, Aristotle University, Thessaloniki, GRC.
  • Ztriva E; 1st Propaedeutic Department of Internal Medicine, AHEPA University Hospital, Medical School, Aristotle University, Thessaloniki, GRC.
  • Kaiafa G; 1st Propaedeutic Department of Internal Medicine, AHEPA University Hospital, Medical School, Aristotle University, Thessaloniki, GRC.
  • Didangelos T; 1st Propaedeutic Department of Internal Medicine/Diabetic Care Unit, AHEPA University Hospital, Medical School, Aristotle University, Thessaloniki, GRC.
  • Theofanidis D; Nursing, International Hellenic University, Thessaloniki, GRC.
  • Savopoulos C; 1st Propaedeutic Department of Internal Medicine, AHEPA University Hospital, Medical School, Aristotle University, Thessaloniki, GRC.
Cureus ; 16(6): e62039, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38989392
ABSTRACT
Background and objective Hyperglycemia following a stroke can independently aggravate the ischemic area. Ensuring adequate glucose management can help avoid complications and minimize mortality and disability in these patients. This study aimed to investigate hyperglycemic patterns in acute stroke patients. Materials and methods We conducted a non-interventional prospective observational study involving acute stroke patients by employing continuous glucose monitoring (CGM) for 72 hours after the onset of stroke symptoms. Admission glucose, patients' total mean glucose (TMG), and time in range (TIR) (70-140 mg/dl) were correlated with the hyperglycemic patterns elicited by the CGM system software. Data were analyzed using SPSS Statistics 26.0 (IBM Corp., Armonk, NY) with descriptive statistics, the Kruskal-Wallis test, and χ2 test. Results Our cohort comprised 105 diabetic and non-diabetic stroke patients. The hyperglycaemic patterns that we observed were as follows (i) hyperglycemia from 2300 to 1000, (ii) 06.00 to 10.00, (iii) at night and after meals, iv) no pattern, v) unspecified patterns. Patients with nocturnal and morning hyperglycemia had admission glucose of 183 mg/dl, mean 72-hour glucose of 156 mg/dl, and TIR of 37%. Patients who did not develop a hyperglycemic pattern either had admission glucose of 131 mg/dl and TIR of 89% or had high admission glucose (197 mg/dl) and a short TIR (14%). Conventional pre-meal capillary glucose tests do not appear to detect these patients' hyperglycemic tendencies. Conclusions These results may indicate the necessity for more intensive measurements during the night or dawn in this patient population. Admission glucose could be considered a predictor of hyperglycemic patterns and contribute to the patient's care plan.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Cureus Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Cureus Ano de publicação: 2024 Tipo de documento: Article