Abdominal Muscle Mass and Coronary Calcification in 108 T2DM Patients

108 Type 2 diabetes mellitus patients aged 57.0 ± 10.9 years were analyzed for associations between abdominal muscle mass and coronary artery calcification (CAC). The study measured seven abdominal muscles via dual-source computed tomography, calculating indices like NAMA/TAMA and NAMA/BMI. Patients were stratified into four CAC severity subgroups for statistical analysis.

Use Cases

• Analyze correlations between CAC score and muscle indices like NAMA/TAMA index or NAMA/BMI across seven abdominal muscles.
• Train a classifier to predict CAC severity subgroup using DSCT-derived features such as TAMA, NAMA, LAMA, and fat fraction.
• Identify predictive biomarkers for positive CAC, such as the NAMA/BMI in abdominal core muscles, using logistic regression.
• Evaluate diagnostic performance via ROC curve analysis for muscle indicators like NAMA in the psoas major, quadratus lumborum, erector spinae, and rectus abdominis.

Strengths

• Includes 108 patient records with detailed dual-source computed tomography (DSCT) measurements.
• Provides analysis across four distinct CAC severity subgroups (negative, mild, moderate, severe).
• Reports specific statistical results, including AUC ranges (0.70-0.99) and correlation coefficients (e.g., r=-0.56 for NAMA/TAMA index).

Limitations

• Small sample size of 108 patients limits statistical power and generalizability of findings.
• Data is contained in a DOCX document, requiring manual extraction for computational analysis.
• Dataset scope is limited to a specific cross-sectional study without longitudinal or external validation data.

Provenance

Source

figshare

Collection Method

Clinical study acquiring CAC scores and abdominal-chest DSCT data from T2DM patients.

Time Range

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Geography

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