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Insulin Resistance Indices and Coronary Artery Disease

Predicting the Presence and Severity of Coronary Artery Disease Using Surrogate Markers of Insulin Resistance: A Cross-Sectional Study

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06237244
Enrollment
1017
Registered
2024-02-01
Start date
2018-12-01
Completion date
2023-09-01
Last updated
2024-02-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Coronary Artery Disease, Insulin Resistance

Keywords

coronary artery disease, insulin resistance, triglyceride glucose index

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.

Interventions

DIAGNOSTIC_TESTtriglyceride to glucose ratio

Ratio of triglyceride level to glucose

DIAGNOSTIC_TESTtriglycerdie to HDL ratio

Ratio of triglyceride to HDL cholesterol

Sponsors

Shiraz University of Medical Sciences
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum

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 > 1.4 mg/dL * history of chronic kidney disease (CKD) * cancer,

Design outcomes

Primary

MeasureTime frameDescription
insulin resistance index: level of triglyceride to glucose ratio from blood sample3 yearscorrelation of coronary artery disease and triglyceride glucose ratio in blood laboratory tests
insulin resistance index: Level of triglyceride to HDL ratio from blood sample3 yearscorrelation of coronary artery disease and triglyceride to HDL level ratio in blood laboratory sample

Secondary

MeasureTime frameDescription
metabolic syndrome3 yearsmetabolic syndrome based on criteria of metabolic syndrome

Countries

Iran

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026