Linear dose-response relationship between TyG-WC index and diastolic dysfunction: insights from restricted cubic spline and machine learning analysis - Scorecard - MDSpire
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Association of TyG-WC Index with Diastolic Dysfunction: A Comprehensive Analysis Using Restricted Cubic Spline and Machine Learning Techniques
Clinical Scorecard: Association of TyG-WC Index with Diastolic Dysfunction: A Comprehensive Analysis Using Restricted Cubic Spline and Machine Learning Techniques
At a Glance
Category
Detail
Condition
Diastolic Dysfunction
Key Mechanisms
Association with triglyceride-glucose waist circumference (TyG-WC) index and metabolic stress.
Target Population
Middle-aged and older adults.
Care Setting
Community-based population study.
Key Highlights
TyG-WC independently associated with increased risk of diastolic dysfunction (OR = 1.002).
High TyG-WC group (≥776.5) faced significantly higher risk of DD (OR = 1.656).
Significant linear dose-response relationship confirmed (Poverall<0.001).
Machine learning techniques identified TyG-WC as an independent contributor to DD risk.
TyG-WC may serve as a practical screening tool for early identification of heart failure risk.
Guideline-Based Recommendations
Diagnosis
Utilize age-stratified echocardiographic criteria for diagnosing diastolic dysfunction.
Management
Consider TyG-WC as a cost-effective marker for assessing cardiometabolic stress.
Monitoring & Follow-up
Regularly assess TyG-WC levels in middle-aged and older adults to identify risk of diastolic dysfunction.
Risks
Increased risk of diastolic dysfunction associated with elevated TyG-WC.
Patient & Prescribing Data
Community-based cohort of 1,413 participants.
Elevated TyG-WC indicates higher risk for diastolic dysfunction, suggesting need for monitoring and potential intervention.
Clinical Best Practices
Incorporate TyG-WC index in routine assessments for cardiovascular risk.
Use machine learning models to enhance predictive accuracy for diastolic dysfunction.
Three of 23 patients experienced heart failure deterioration following medication withdrawal, while adverse drug events occurred only among patients who continued therapy.
