- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04765982
Does Insulin Requirement Post Cardiac Surgery Predicts The Risk Of Developing Diabetes
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Critically ill patients frequently suffer from acute hyperglycemia, (a blood glucose level of more than 6.1 mmol/L (110 mg/dL)) and is observed in around 90 percent of ICU patients. Additionally, insulin resistance is expected in more than 80 percent of the critically ill which contributes to the problem. The hypothalamic-pituitary axis, sympathetic adrenergic system, and circulating pro-inflammatory cytokines including tumor necrosis factor alpha (TNF-α) and interleukins modulate hyperglycemia during stress. The seriousness of illness as expressed by the acute physiology and chronic health evaluation score (APACHE II), injury severity, surgery type and the Glasgow Coma Scale correlate with catecholamine and cortisol levels. Catecholamines are released mainly from the adrenal medulla. Multiple effects are assumed to be due to the surge of stress hormones (cardiovascular, immune and metabolic) targeting restoration of homeostasis during stress. Excessive glycogenolysis, gluconeogenesis, and insulin resistance characterize the neuroendocrine stress response. Increased hepatic output of glucose is predominantly the reason of stress hyperglycemia. Mediated through the liver adrenaline and noradrenaline excite gluconeogenesis and glycogenolysis; the latter has additional effects of enhancing glycerol provisions through lipolysis in the liver.
Additionally, the emergence of insulin resistance could be due to the release of adipokines from adipose tissue during critical illness. Downgrading of insulin signal transduction is associated with increased TNF-α due to phosphorylation of different molecules straight over the path of insulin-signaling. Glucose redistribution from peripheral tissues towards immune cells during infection could be mediated by variable regulation of glucose transporter-1 and glucose transporter-4.
Contributing factors for acute hyperglycemia during critical illness includes the concomitant secretion of additional stress hormones and the use of medications (steroids, lithium, vasopressors, inotropes and β-blockers). Intravenous glucose solutions, overfeeding, parenteral nutrition, and antibiotic and dialysis solutions, also precipitate hyperglycemia. Insulin deficiency or hypovolemia may also lead to hyperglycemia. Peripheral insulin resistance could be promoted with bed rest even without an obvious disease. Bed rest causes reduced skeletal muscle glucose uptake. Hyperglycemia in critically ill diabetics is an integration of pancreatic β-cell secretory disorders and insulin resistance.
Consequences of hyperglycemia in the Critically ill patients: in different ICU populations Short-term drawbacks of hyperglycemia include effects on fluid balance through glycosuria and subsequently dehydration. Hyperglycemia associated with white blood cell abnormalities which could impair the complement pathway. Mitochondrial protein could be damaged with hyperglycemia, amplification of inflammatory pathways, altered innate immune system, and downgrading of endothelial functions. The peripheral blood flow could be compromised due to the reduction in endothelial nitric oxide and vascular reactivity with hyperglycemia. Acute hyperglycemia boosts proteolysis and is accompanied by a high risk of cardiac complications, electro-myocardial alteration, hemodynamic compromise, acute kidney injury, and death. Therefore poor clinical outcome and complications are associated with hyperglycemia. The persistence of hyperglycemia for a longer time distinctly associated with pediatric population outcome as expressed by morbidity and mortality.
In Individual ICU populations, the risk of hyperglycemia and hypoglycemia increased in patients with sepsis. The Surviving Sepsis Campaign Guidelines recommend keeping the blood sugar below 10mmol/L. In neuro-critical care improved neurological outcome was observed with glucose control in patients, with a less strict glycemic target (7.7-10mmol/L). The impact of hyperglycemia was quantified in a meta-analysis for patients who had acute myocardial infarction. Postoperatively, intensive glucose control was associated with reduced acute heart failure, myocardial infarction, and death in vascular surgeries. Reduced death, infections and post-operative atrial fibrillation were observed after cardiac surgery with moderate blood sugar control. Interestingly, in a recent systemic review and meta-analysis stress hyperglycemia was associated with increased risk of subsequent diabetes in the critically ill. No previous studies went through future development of diabetes or impaired glucose tolerance after cardiac surgeries.
- Objectives Primary objective : incident of developing diabetes and pre diabetes in patient with post operative stress hyperglycemia
Study Methodology
- The study will be a prospective cohort study
- Investigators will select patient without diabetes who will undergo cardiac surgery, patient will be divided into two groups group 1) Patients with uncontrolled blood sugar in the ICU; and group 2) patient with adequate control of blood sugar in ICU settings
- The sample size will be calculated based on previous studies in critically ill patients
- Subject inclusion and exclusion criteria Inclusion criteria: 1. Adult males and females above the age of 18 years subjected to cardiac surgery, 2. Acceptance to perform the study protocol and participate throughout the whole trial period (consent approval prior to participation), 3. Understanding the risks and benefits of the study and having signed a written informed consent. Exclusion criteria: Diabetics. Patients who refuse to participate or who /can not sign informed consent.
Time in range (TIR), will be used to define the groups within the study, it is a measure of time where the blood glucose stays within the set target range. Our group point that it is it an easy measure that could be encountered without specific demands; therefore, it could be simply utilized in any ICU. Investigators will calculate the whole time of intravenous insulin infusion (A) and the time being within the set goal range (B) during intravenous insulin infusion and expressed TIR as TIR = (B/A) × 100. Our previous study showed that patients with more than 80% time in range, whether or not they had existing diabetes, had better outcomes than those with less than 80% time in range, as expressed by wound infection complication, duration of mechanical ventilation, and ICU length of stay. In addition, they were not candidates for recurrent hypoglycemic attacks. (27) Outcome measures Factors assessed at admission to the ICU will include age, gender, ethnicity, diabetes history, glycated hemoglobin (HbA1C), hypertension history, and surgery type. Investigators will record anesthesia time, cardiopulmonary bypass time (CPP), aortic cross clamp (ACC) time, utilization of inotropes and vasopressors, blood transfusion, Euro SCORE, medications including (statin therapy, steroids, vasopressors, and inotropes) length of mechanical ventilation, length of stay in the ICU and the hospital length of stay. Complications and outcomes, including acute kidney injury (AKI), post-operative atrial fibrillation (POAF), nosocomial infection, stroke, wound infection, and death, will reported for each patient. Data will be retrieved from an established database Dendrite Clinical Systems® (London, UK). Outcomes will be compared in subgroups of diabetics and non-diabetics, and factors associated with poor glycemic control will be analyzed.
Outcomes and follow up An outpatient visit will be planned approximately three months after ICU discharge. At the time of this visit, Investigators will obtain age, BMI, waist circumference, diet, exercise, history of hypertension and family and personal history of elevated blood glucose to calculate the Finnish diabetes risk score (FINDRISC) questionnaire. (28) Oral glucose tolerance test (OGTT) will be performed according to the guidelines of the World Health Organization (WHO) with 75-g glucose load. Diabetes will be diagnosed according to the American Diabetes Association guidelines that stat fasting plasma glucose ≥126 mg/dl(7mmol/L) and/or 2-h plasma glucose during the OGTT ≥200 mg/dl (11.1mmol/L) and/or HbA1c ≥6.5 % (48 mmol/L); impaired glucose tolerance is noted when 2-h plasma glucose during the OGTT is between 140-200 mg/dl (7.7-11.1mmol/L). Impaired fasting glucose defined as fasting plasma glucose between 100-126 mg/dl (55.7mmol/L).
The primary outcome will be the percentage of development of diabetes in non-diabetics after cardiac surgery The secondary outcome will be to identify whether those patients who are non-diabetics associated with increased morbidity in terms of ICU stay, post-operative atrial fibrillation (POAF), hospital acquired infections, and late wound infections
Descriptive statistics will be used to summarize and determine the sample characteristics and distribution of various considered parameters related to demographic, presenting signs and symptoms, clinical features, post-operative outcome measures etc. The normally distributed data and results will be reported with mean and standard deviation (SD) with corresponding 95% confidence interval (CI); the remaining results will be reported with median and inter-quartile range (IQR). Categorical data will be summarized using frequencies and percentages.
The focus of the data analysis in this study will be to determine the incident of developing diabetes and pre diabetes in patient with post-operative stress hyperglycemia. Associations between two or more qualitative variables will be assessed using Chi-square (χ2) or Fisher Exact tests as appropriate. Quantitative outcome measures between two independent groups will be analyzed using unpaired t or Mann Whitney U test depending on the normality of the data distribution. Concentration-time profiles for blood glucose, serum insulin and other related quantitative outcome measures will be analyzed as their respective areas under the curve (AUC) from baseline to specific post-baseline time points, with analysis across groups (normal, prediabetes, diabetes) performed by linear regression, with results presented as the marginal group means (95% CI) and associated p value. The impact of different potential covariates and factors will be assessed using multivariate linear regression model. Longitudinal changes in data across time points will be analyzed using a mixed model ANOVA. The relationship between incident of developing diabetes and pre diabetes in patient with post-operative stress hyperglycemia and main intrinsic and extrinsic risk factors (predictor or risk factors) will be estimated by deriving odds ratios (ORs) from logistic regression model and results will be presented and reported in odds ratio (OR) and associated 95% CI. A two-sided P value <0.05 will be considered to be statistically significant. All statistical analyses will be done using statistical packages SPSS 23.0 (SPSS Inc. Chicago, IL) and Epi Info 2000 (Center for Disease Control and Prevention, Atlanta, Georgia, United States of America
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Dina F Alwaheidi, MD
- Phone Number: 66346543
- Email: DAlwaheidi@hamad.qa
Study Contact Backup
- Name: Amr IBRAHIM Omar, MD, PhD
- Phone Number: 66480831
- Email: a_s_omar@yahoo.com
Study Locations
-
-
DA
-
Doha, DA, Qatar, 3050
- Recruiting
- Hamad Medical Corporation
-
Contact:
- Dina F. A. Alwaheidi, MBBcH
- Phone Number: 66346543
- Email: DAlwaheidi@hamad.qa
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
1-Adult patients above the age of 18 years subjected to cardiac surgery,
Exclusion criteria:
- Diabetics.
- Patients who refuse to participate or who /can not sign informed consent.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Active Comparator: patients with less than 80% time in range
Better control group
|
An outpatient visit will be planned approximately three months after ICU discharge.
At the time of this visit, we will obtain age, BMI, waist circumference, diet, exercise, history of hypertension and family and personal history of elevated blood glucose to calculate the Finnish diabetes risk score (FINDRISC) questionnaire.
(28) Oral glucose tolerance test (OGTT) will be performed according to the guidelines of the World Health Organization (WHO) with 75-g glucose load.
Diabetes will be diagnosed according to the American Diabetes Association guidelines that stat fasting plasma glucose ≥126 mg/dl(7mmol/L) and/or 2-h plasma glucose during the OGTT ≥200 mg/dl (11.1mmol/L) and/or HbA1c ≥6.5 % (48 mmol/L); impaired glucose tolerance is noted when 2-h plasma glucose during the OGTT is between 140-200 mg/dl (7.7-11.1mmol/L).
Impaired fasting glucose defined as fasting plasma glucose between 100-126 mg/dl (55.7mmol/L).
(29)
Other Names:
|
Placebo Comparator: patients with more than 80% time in range
poor control group
|
An outpatient visit will be planned approximately three months after ICU discharge.
At the time of this visit, we will obtain age, BMI, waist circumference, diet, exercise, history of hypertension and family and personal history of elevated blood glucose to calculate the Finnish diabetes risk score (FINDRISC) questionnaire.
(28) Oral glucose tolerance test (OGTT) will be performed according to the guidelines of the World Health Organization (WHO) with 75-g glucose load.
Diabetes will be diagnosed according to the American Diabetes Association guidelines that stat fasting plasma glucose ≥126 mg/dl(7mmol/L) and/or 2-h plasma glucose during the OGTT ≥200 mg/dl (11.1mmol/L) and/or HbA1c ≥6.5 % (48 mmol/L); impaired glucose tolerance is noted when 2-h plasma glucose during the OGTT is between 140-200 mg/dl (7.7-11.1mmol/L).
Impaired fasting glucose defined as fasting plasma glucose between 100-126 mg/dl (55.7mmol/L).
(29)
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Incidence of developing diabetes in patient with post operative stress hyperglycemia
Time Frame: at 3 months
|
Testing patient on follow up for evidence of development of diabetes or pre-diabetes
|
at 3 months
|
Incidence of developing diabetes in patient with post operative stress hyperglycemia
Time Frame: at 6 months
|
Testing patient on follow up for evidence of development of diabetes or pre-diabetes
|
at 6 months
|
Incidence of developing pre diabetes in patient with post operative stress hyperglycemia
Time Frame: at 3 months
|
Testing patient on follow up for evidence of development of diabetes or pre-diabetes
|
at 3 months
|
Incidence of developing pre diabetes in patient with post operative stress hyperglycemia
Time Frame: at 6 months
|
Testing patient on follow up for evidence of development of diabetes or pre-diabetes
|
at 6 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
other morbidity measures
Time Frame: 1 year
|
identify whether those patients who are non-diabetics associated with increased length of ICU stay
|
1 year
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Dina F Alwaheidi, Hamad medical coproation
Publications and helpful links
General Publications
- Van den Berghe G. How does blood glucose control with insulin save lives in intensive care? J Clin Invest. 2004 Nov;114(9):1187-95. doi: 10.1172/JCI23506.
- Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014 Feb;103(2):137-49. doi: 10.1016/j.diabres.2013.11.002. Epub 2013 Dec 1.
- Saberi F, Heyland D, Lam M, Rapson D, Jeejeebhoy K. Prevalence, incidence, and clinical resolution of insulin resistance in critically ill patients: an observational study. JPEN J Parenter Enteral Nutr. 2008 May-Jun;32(3):227-35. doi: 10.1177/0148607108316195.
- Marik PE. Critical illness-related corticosteroid insufficiency. Chest. 2009 Jan;135(1):181-193. doi: 10.1378/chest.08-1149.
- Kovalaske MA, Gandhi GY. Glycemic control in the medical intensive care unit. J Diabetes Sci Technol. 2009 Nov 1;3(6):1330-41. doi: 10.1177/193229680900300613.
- Omar AS, Salama A, Allam M, Elgohary Y, Mohammed S, Tuli AK, Singh R. Association of time in blood glucose range with outcomes following cardiac surgery. BMC Anesthesiol. 2015 Jan 26;15(1):14. doi: 10.1186/1471-2253-15-14. eCollection 2015.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- MRC-01-20-806
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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