Clinical trial NCT06237244: Insulin Resistance Indices and Coronary Artery Disease
Official title: Predicting the Presence and Severity of Coronary Artery Disease Using Surrogate Markers of Insulin Resistance: A Cross-Sectional Study
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Insulin Resistance
Coronary Artery Disease
Keywords: coronary artery disease
insulin resistance
triglyceride glucose index
Lead sponsor: Shiraz University of Medical Sciences
Sponsor class: OTHER
First posted: 2024-02-01
Enrollment: 1017
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Observational model: CASE_CONTROL
Time perspective: CROSS_SECTIONAL
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Patients more than 18 years old referred for evaluation of coronary artery disease for their first time

Brief summary: In this retrospective study from professor Kojuri clinic registry, total number of 1017 patients with first angiography were included and all data were recorded from registry. Insulin resistance was calculated using laboratory data

Detailed description: This was an analytical cross-sectional retrospective study involving patients with suspected CAD who underwent coronary angiography between December 2018 and May 2023. The information was obtained from patients referred to the outpatient cardiovascular clinic (Professor Kojuri Cardiology Clinic, Shiraz, Iran, www.kojuriclinic.com). Data was extracted from Professor Kojuri Cardiology Clinic database, including patient's information about the clinical history, presence or absence of specific diseases, angiography/angioplasty results, medications, and laboratory values.

A total of 14,708 patients who had undergone coronary angiography at least once were examined. After applying exclusion criteria, 1017 eligible cases were selected for data analysis.

The following data was recorded for the included patients: demographic data, past medical history (such as DM, hypertension, etc.), systolic and diastolic blood pressure, weight and height, fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and serum creatinine (Cr). Body mass index (BMI) was calculated as weight (Kg) divided by the square of height (m2). Obesity was defined as BMI ≥ 30 Kg/m2.

Laboratory values were selected from the time before angiography, and if not available, from the time shortly after the angiography. This helped us find those values which could best represent the metabolic state of patients at the time of angiography, while reducing the confounding effect of statin use.

Eligibility criteria: Inclusion Criteria:

* patients with age more than 18 years and having undergone coronary angiography

Exclusion Criteria:

* incomplete data
* history of prior coronary angiography or revascularization (percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG))
* serum creatinine \&gt; 1.4 mg/dL
* history of chronic kidney disease (CKD)
* cancer,

Primary outcomes:
measure: insulin resistance index: level of triglyceride to glucose ratio from blood sample
timeFrame: 3 years
measure: insulin resistance index: Level of triglyceride to HDL ratio from blood sample
timeFrame: 3 years
Secondary outcomes:
measure: metabolic syndrome
timeFrame: 3 years
Other outcomes:
Locations:
city: Shiraz
country: Iran, Islamic Republic of
facility: Shiraz University of Medical Sciences
state: Fars
Study officials:
affiliation: Professor kojuri cardiology clinic
name: Javad Kojuri, MD. MS.
role: PRINCIPAL_INVESTIGATOR
References: