Continuous glucose monitoring in acute stroke

2019 ◽  
Author(s):  
Laura Aponte-Becerra ◽  
Rodrigo Quispe ◽  
Laura Mendez-Pino ◽  
Vera Novak ◽  
Magdy Selim ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Acute Stroke ◽  
Continuous Glucose Monitoring ◽  
Poor Prognosis ◽  
Glucose Monitoring ◽  
Mean Amplitude ◽  
P Value ◽  
Stroke Patients ◽  
Glycaemic Variability ◽  
Acute Brain Ischemia

"Hyperglycaemia upon admission is a pathophysiological response to acute brain ischemia that has been independently associated with high mortality rate and poor prognosis. Glycaemic variability (GV) has also shown association with poor clinical outcomes among stroke patients. GV is best assessed by continuous glucose monitoring (CGM), which enables consecutives glucose measurements every 5 minutes. This pilot study aimed: 1) To describe safety, feasibility and tolerability of CGM in the acute stroke setting; and 2) To compare CGM and conventional FS glucose-based monitoring regimen in terms of their relationship with GUA and the accuracy of hypoglycaemic episodes detection. Safety, feasibility and tolerability of CGM was excellent in our cohort of 23 patients with acute stroke (61% ischemic and 39% intracerebral haemorrhage) and there were no adverse events. CGM recorded ten hypoglycaemic episodes that were not detected by conventional FS monitoring. GUA was associated with coefficient of variation (CV) of CGM (p=0.03), CV of FS (p=0.01), standard deviation (SD) of CGM (p-value=0.01) and mean amplitude of glucose excursions (MAGE) (pvalue= 0.001)."

scholarly journals Glycemic variability of acute stroke patients and clinical outcomes: a continuous glucose monitoring study

2021 ◽  
Vol 14 ◽  
pp. 175628642110458
Author(s):  
Lina Palaiodimou ◽  
Vasileios-Arsenios Lioutas ◽  
Vaia Lambadiari ◽  
Aikaterini Theodorou ◽  
Marios Themistocleous ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Clinical Outcomes ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Glycemic Variability ◽  
Standard Of Care ◽  
Stroke Patients ◽  
Neurological Improvement ◽  
Finger Prick ◽  
Before And After

Introduction: Glycemic variability (GV) has been associated with worse prognosis in critically ill patients. We sought to evaluate the potential association between GV indices and clinical outcomes in acute stroke patients. Methods: Consecutive diabetic and nondiabetic, acute ischemic or hemorrhagic stroke patients underwent regular, standard-of-care finger-prick measurements and continuous glucose monitoring (CGM) for up to 96 h. Thirteen GV indices were obtained from CGM data. Clinical outcomes during hospitalization and follow-up period (90 days) were recorded. Hypoglycemic episodes disclosed by CGM but missed by finger-prick measurements were also documented. Results: A total of 62 acute stroke patients [48 ischemic and 14 hemorrhagic, median NIHSS score: 9 (IQR: 3–16) points, mean age: 65 ± 10 years, women: 47%, nondiabetic: 79%] were enrolled. GV expressed by higher mean absolute glucose (MAG) values was associated with a lower likelihood of neurological improvement during hospitalization before and after adjusting for potential confounders (OR: 0.135, 95% CI: 0.024–0.751, p = 0.022). There was no association of GV indices with 3-month clinical outcomes. During CGM recording, 32 hypoglycemic episodes were detected in 17 nondiabetic patients. None of these episodes were identified by the periodic blood glucose measurements and therefore they were not treated. Conclusions: Greater GV of acute stroke patients may be related to lower odds of neurological improvement during hospitalization. No association was disclosed between GV indices and 3-month clinical outcomes.

scholarly journals Outcome Prediction in Acute Stroke Patients by Continuous Glucose Monitoring

2018 ◽  
Vol 7 (8) ◽  
Author(s):  
Shinichi Wada ◽  
Sohei Yoshimura ◽  
Manabu Inoue ◽  
Takayuki Matsuki ◽  
Shoji Arihiro ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Continuous Glucose Monitoring ◽  
Outcome Prediction ◽  
Glucose Monitoring ◽  
Stroke Patients

scholarly journals Breakfast replacement with a liquid formula improves glycaemic variability in patients with type 2 diabetes: a randomised clinical trial

2019 ◽  
Vol 121 (5) ◽  
pp. 560-566 ◽  
Author(s):  
Jiahui Peng ◽  
Jingyi Lu ◽  
Xiaojing Ma ◽  
Lingwen Ying ◽  
Wei Lu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Glucose Monitoring ◽  
Mean Amplitude ◽  
Randomised Clinical Trial ◽  
Postprandial Blood Glucose ◽  
Glycaemic Variability ◽  
Intervention Measures ◽  
Before And After

AbstractThere is emerging evidence that glycaemic variability (GV) plays an important role in the development of diabetic complications. The current study aimed to compare the effects of lifestyle intervention (LI) with and without partial meal replacement (MR) on GV. A total of 123 patients with newly diagnosed and untreated type 2 diabetes (T2D) were randomised to receive either LI together with breakfast replacement with a liquid formula (LI+MR) (n 62) or LI alone (n 61) for 4 weeks and completed the study. Each participant was instructed to have three main meals per d and underwent 72-h continuous glucose monitoring (CGM) both before and after intervention. Measures of GV assessed by CGM included the incremental AUC of postprandial blood glucose (AUCpp), standard deviation of blood glucose (SDBG), glucose CV and mean amplitude of glycaemic excursions (MAGE). After a 4-week intervention, the improvements in systolic blood pressure (P=0·046) and time in range (P=0·033) were more pronounced in the LI+MR group than in the LI group. Furthermore, LI+MR caused significantly greater improvements in all GV metrics including SDBG (P=0·005), CV (P=0·002), MAGE (P=0·016) and AUCpp (P<0·001) than did LI. LI+MR (v. LI) was independently associated with improvements in GV after adjustment of covariates (all P<0·05). Our study showed that LI+MR led to significantly greater improvements in GV compared with LI, suggesting that LI+MR could be an effective treatment to alleviate glucose excursions.

scholarly journals FREQUENCY OF FUNCTIONAL DISABILITY AND COGNITIVE IMPAIRMENTS IN SUB-ACUTE STROKE PATIENTS

2021 ◽  
Vol 10 (2) ◽  
pp. 69-74
Author(s):  
Aisha Sarfaraz ◽  
Dr Abdul Azeem ◽  
Mehwish Butt ◽  
Muhammad Umar
Keyword(s):  
Acute Stroke ◽  
Functional Disability ◽  
Cognitive Impairments ◽  
Age Groups ◽  
Female Gender ◽  
Primary Objective ◽  
P Value ◽  
Stroke Patients ◽  
Cross Sectional Survey ◽  
Cross Sectional

BACKGROUND & OBJECTIVE Stroke is a very common neurological condition affects various aspects of health. The primary objective of this study was to find out the frequency of functional disability and cognitive impairments in Sub-acute Stroke patients. MATERIAL AND METHODS A cross-sectional survey was conducted on 112 Sub-acute Stroke patients in Karachi, Pakistan. Using Barthel Index (BI) and Mini-Mental State Examination (MMSE) test was used to find out the frequency of functional disability and cognitive impairments of Sub-acute Stroke patients. RESULTS The correlation of BI scores with MMSE scores for the Male gender was 0.576 whilst the correlation of BI scores with MMSE scores for the Female gender was 0.440. The severity of functional disability concerning age groups assessed P-value was 0.026 using Chi-Square Test. The severity of functional disability (BI severity) concerning gender, P-value was found 0.097 using the same test. CONCLUSION Functional Disability is directly linked with age. However, there was no linkage established between Cognitive Impairment and age as well as gender. On close inspection, there was a trend between Functional disability and gender but not statistically significant.

P6441New continuous glucose monitoring reveals hypoglycemia risk in both diabetic and nondiabetic patients with acute myocardial infarction

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Kuroda ◽  
M Kawata ◽  
A Matsuura ◽  
K Adachi ◽  
Y Hirayama ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Mean Amplitude ◽  
Glucose Fluctuation ◽  
Glucose Levels ◽  
Interstitial Glucose ◽  
The Mean ◽  
Artery Disease

Abstract Background There has been growing evidence that the glucose fluctuation is an important contributing factor to the development of coronary artery disease. However, whether large glucose fluctuation, especially hypoglycemia, may be associated with acute myocardial infarction (AMI) remains largely unknown. Aim As new continuous glucose monitoring (CGM) has recently become available to evaluate glucose fluctuation from immediately after an emergency visit, this study sought to investigate glucose fluctuation and the occurrence of hypoglycemia in patients with AMI. Methods In this prospective study, 93 consecutive patients with AMI from April 2017 to November 2018 were enrolled. Subcutaneous interstitial glucose levels were monitored from emergency room to discharge using the CGM System. Based on the CGM data, 24-h mean glucose levels, the time in hyperglycemia and hypoglycemia and the occurrence of hypoglycemia, defined as less than 70 mg/dL, were measured, and the mean amplitude of glycemic excursions (MAGE) were calculated. Results The majority of patients [n=57, 61% (non-DM)] did not have diabetes and 36 patients had diabetes (DM). The occurrence of hypoglycemia within 24 hours after admission was observed in 49 patients [DM: n=11 (30.6%), non-DM: n=38 (66.7%)]. MAGE within 24 hours after admission were 100±47 in DM patients and 67±20 in non-DM patients. The mean time in hypoglycemia within 24 hours after admission was 148 minutes [DM: 100±260 minutes, non-DM: 178±287 minutes]. The occurrence of hypoglycemia during a hospital stay (mean 11.5 days) was detected in 76 patients [DM: n=28 (77.8%), non-DM: n=48 (84.2%)]. Representative case of hypoglycemia Conclusion Not only in DM patients but also in non-DM patients with AMI, large glucose fluctuation and high incidence of hypoglycemia were observed using new CGM system. Further investigations should address the rationale for the early detection and control of glucose fluctuation for AMI patients.

scholarly journals Significance of day-to-day glucose variability in patients after acute coronary syndrome

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Machiko Miyoshi ◽  
Hiroyasu Uzui ◽  
Tomohiro Shimizu ◽  
Takayoshi Aiki ◽  
Yuichiro Shiomi ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Continuous Glucose Monitoring ◽  
Disease Onset ◽  
Glucose Monitoring ◽  
Mean Amplitude ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
High Blood Glucose ◽  
Ventricular Ejection Fraction ◽  
Coronary Syndrome

Abstract Background Several studies have recently addressed the importance of glycemic variability (GV) in patients with acute coronary syndrome (ACS). Although daily GV measures, such as mean amplitude of glycemic excursions, are established predictors of poor prognosis in patients with ACS, the clinical significance of day-to-day GV remains to be fully elucidated. We therefore monitored day-to-day GV in patients with ACS to examine its significance. Methods In 25 patients with ACS, glucose levels were monitored for 14 days using a flash continuous glucose monitoring system. Mean of daily differences (MODD) was calculated as a marker of day-to-day GV. N-terminal pro-brain natriuretic peptide (NT-proBNP) was evaluated within 4 days after hospitalization. Cardiac function (left ventricular end-diastolic volume, left ventricular ejection fraction, stroke volume) was assessed by echocardiography at 3–5 days after admission and at 10–12 months after the disease onset. Results Of the 25 patients, 8 (32%) were diagnosed with diabetes, and continuous glucose monitoring (CGM)-based MODD was high (16.6 to 42.3) in 17 patients (68%). Although MODD did not correlate with max creatine kinase (CK), there was a positive correlation between J-index, high blood glucose index, and NT-proBNP (r = 0.83, p < 0.001; r = 0.85, p < 0.001; r = 0.41, p = 0.042, respectively). Conclusions In patients with ACS, MODD was associated with elevated NT-proBNP. Future studies should investigate whether day-to-day GV in ACS patients can predict adverse clinical events such as heart failure.

scholarly journals Correlation of blood glucose levels, HbA1c, hemoglobin and leukocytes with outcome on acute stroke

2019 ◽  
Vol 7 (5) ◽  
pp. 1430
Author(s):  
Meiriani . ◽  
Yuneldi Anwar ◽  
Puji Pinta Omas Sinurat
Keyword(s):  
Ischemic Stroke ◽  
Blood Glucose ◽  
Acute Stroke ◽  
Hemorrhagic Stroke ◽  
Cross Sectional Study ◽  
P Value ◽  
Stroke Patients ◽  
Cross Sectional ◽  
Glucose Levels ◽  
Blood Glucose Levels

Background: Diabetes and higher HbA1c level have increased the incidence of stroke. Hemoglobin levels both high and low are associated with poor outcomes. Leukocytes play an important role in the initiation of the atherosclerosis process.Methods: This was a cross-sectional study with a sample size of 62 people selected by non-random sampling method on a consecutive basis, patients with acute stroke were taken blood to measure blood glucose levels, HbA1c, Hb and Leucocytes when entering the hospital room. Outcomes were assessed using NIHSS and MRS. The calculation of NIHSS and MRS scores was performed on the first day of admission and the fourteenth day. To analyze the correlation of blood sugar levels during HbA1c, Hb and leukocytes in acute stroke, this study used Spearman's correlation test. The p value <0.05 was considered statistically significant.Results: The study subjects of 62 acute stroke patients (acute ischemic stroke 31 people and 31 people hemorrhagic stroke). Acute stroke patients were consisted of 38 men (61.3%) and 24 women (38.7%). Of 31 people with hemorrhagic stroke, there were 16 men (51.6%) and 15 women (48.4%), ischemic stroke patients were consisted of 22 people (71, 0%) and women were 9 people. Spearrman repair test showed no symptoms between blood glucose levels, HbA1c, Hemoglobin and leukocytes with outcomes in acute stroke.Conclusions: There was no significant association between blood glucose levels, HbA1c, hemoglobin and leukocytes with outcomes in acute stroke.

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