Amany Ateq
Royal Commission Medical Center, KSAPresentation Title:
Challenging "Essential Hypertension": Identification of a Distinct Metabolic Phenotype Through Insulin-Induced ECG Voltage Changes (The Ateq Equation)
Abstract
Background: The diagnosis of "essential hypertension" in young adults often masks underlying metabolic dysfunctions. Traditional blood pressure monitoring frequently fails to explain early structural cardiac changes. This study aims to isolate a distinct "metabolic hypertension" phenotype driven by proinsulin-mediated pathways, utilizing a novel predictive model to assess the "hormonal-hemodynamic-voltage axis."
Materials and methods: We conducted a retrospective cross-sectional analysis using harmonized population data. A specific metabolic phenotype was defined by hyperinsulinemia and a Sokolow-Lyon Index > 35 mm. We utilized linear regression to develop the Ateq Equation, integrating fasting proinsulin and systolic blood pressure (SBP) as primary predictors. Diagnostic accuracy was evaluated using receiver operating characteristic (ROC) curve analysis and the assessment of standardized beta coefficients to determine the relative impact of metabolic versus mechanical stressors.
Results: The final model confirmed that proinsulin is a superior predictor of ECG voltage compared to SBP alone (p < 0.001). Standardized coefficients revealed that proinsulin exerts a significantly stronger influence on cardiac voltage (β = 0.690) than SBP (β = 0.173). Furthermore, proinsulin demonstrated a powerful correlation with SBP (R = 0.912, R2 = 0.832), identifying it as a primary driver of blood pressure elevation. The Ateq Gap demonstrated strong diagnostic power (area under the curve (AUC) = 0.766). Using a cut-off of 2.5 mm, the criteria achieved a sensitivity of 74% and specificity of 71% in detecting early structural changes unexplained by hemodynamics alone.
Conclusion: Hyperproinsulinemia is the primary independent predictor of increased ECG voltage and elevated SBP in young patients, suggesting that hypertension is a hemodynamic symptom of an underlying metabolic disorder. The Ateq Gap provides a quantifiable metric to identify this phenotype. These findings provide the foundational logic for the Ateq Chip, a proposed biosensor for real-time monitoring of proinsulin-driven cardiac risks, enabling intervention years before overt clinical complications.
Biography
Amany Hamed Ateq is a Hospital Pharmacist at the Royal Commission Health Services Program in Yanbu, Saudi Arabia. She earned her Bachelor’s degree in Pharmacy from Modern Sciences and Arts University (MSA), Egypt, validated by the University of Greenwich, UK. As an emerging researcher, her focus is on cardiology and preventive medicine, aiming to contribute to early disease detection and improved patient care standards.