Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT04916912 |
Other study ID # |
TomskNRMC COP |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
May 1, 2020 |
Est. completion date |
September 1, 2022 |
Study information
Verified date |
October 2022 |
Source |
Tomsk National Research Medical Center of the Russian Academy of Sciences |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
This study is planned to assess the effect of obesity (BMI over 30 kg / m2) on hospital
outcomes of isolated coronary artery bypass grafting in patients with chronic ischemic heart
disease.
Description:
This study is planned to assess the effect of obesity (BMI over 30 kg / m2) on hospital
outcomes of isolated coronary artery bypass grafting in patients with chronic ischemic heart
disease.
It is planned to retrospectively enroll around 500 patients who underwent coronary artery
bypass grafting for chronic ischemic heart disease at the Tomsk Research Institute of
Cardiology. It is planned to develop a register of isolated coronary bypass grafting
procedures, to conduct a comparative analysis of hospital results in obese patients (BMI more
than 30 kg / m2) and without (BMI less than 30 kg / m2), to identify risk factors for adverse
outcomes in patients of this group of patients.
Planning methods:
1. Clinical status of the patient: collection of complaints, medical history, physical
examination, assessment of anthropometric indicators (measurement of body weight,
height, BMI), and demographic indicators before and in the control period after surgical
treatment.
2. General clinical examination: standard 12-lead ECG, general urine analysis, general
blood analysis, blood chemistry, coagulation, chest x-ray, ultrasound of the carotid and
femoral arteries.
3. Coronarography to assess the anatomy and condition of the coronary arteries.
4. Echocardiography to assess the following parameters: mass of viable left ventricular
myocardium; volumes of cardiac cavities; diameter of the mitral and tricuspid valve
rings with the determination of regurgitation degree; the long axis of the ventricle;
left ventricular ejection fraction; visualization of akinetic and hypokinetic
myocardium; the presence of blood clots in the cavities of the heart; All surgical
procedures will be performed via median sternotomy Intraoperative information will be
collected from the anesthetic record, surgical notes and perfusion records.
Intraoperative data collection will include total operative time, CPB time, cross-clamp
time, intraoperative red blood cell transfusion (units), highest dose/agent used for
intraoperative inotrope or vasopressor support. Intraoperative flowmetry of coronary
grafts during coronary artery bypass grafting using the Medistim VeriQ System will be
performed.
Postoperative data will include valuation of following indicators: mortality (hospital
mortality and death from any cause); neurological injury (TIA, stroke, delirium), acute
kidney injury (creatinine level prior and 1 postoperative day, urine output-up to 24-48 h,
renal replacement therapy (dialysis); time of mechanical ventilation; re-exploration for
bleeding, tamponade or other reasons; postoperative transfusion (packed red blood cells,
platelets, fresh frozen platelets, cryoprecipitate); postoperative myocardial infarction
(electrocardiogram and troponins); inotropic support during 24-48 h (agent and dose (VIS));
length of stay (intensive care unit and total hospital days).
Structured collection of patient data will be performed in a database formed on the platform
of the Microsoft Excel 2010 software (Microsoft Corp., USA). Statistical processing of the
results will be carried out using the SPSS 23.0 for Windows software package (IBM Corp.,
Armonk, NY, USA). The normality of the law of distribution of quantitative indicators will be
checked using the Shapiro-Wilks criterion. Normally distributed parameters will be presented
as mean value (M) and standard deviation (StD) in the form M ± StD; not normally distributed
parameters will be presented as median (Me) and the 1st and 3rd interquantile intervals (Q25
- Q75) in the form of Me [Q25; Q75]. Qualitative data will be described by the frequency of
occurrence or its percentage. To find statistical dependences, to determine their strength
and direction, the Pearson correlation coefficient (r) (for normally distributed parameters)
and Spearman correlation coefficient (for for not normally distributed parameters and for
qualitative indicators in the ordinal scale) will be calculated. Using logistic regression,
significant predictors will be identified for the values of reverse remodeling in the long
term after surgical treatment. When conducting a multivariate analysis of interconnections,
first, by means of a univariate analysis, the main parameters that influence the studied
value will be identified, then, based on the search for intergroup correlations, the signs
that have a moderate or strong relationship will be eliminated, and multivariate modeling of
the relationships will be performed.
During the work, the methods of statistical analysis can be revised and (or) supplemented.