The prognostic value of dispersion of repolarization in stress cardiomyopathy
Muthiah Subramanian1, Hisham Ahamed1, Mukund Prabhu1
1Department of Cardiology at Amrita Institute of Medical Sciences, Amritha Vishhwavidhyapeetham, Ponekkara, Kochi, Kerala 682041, India.
Insights
Dispersion of repolarization predicts major cardiac events and recurrence in stress cardiomyopathy (SC). Increased dispersion indicates longer recovery times and higher MCE risk, offering a simple prognostic tool.
Area of Science:
- Cardiology
- Electrophysiology
Background:
- Ventricular repolarization abnormalities are characteristic of stress cardiomyopathy (SC).
- The clinical significance of repolarization dispersion in SC management is not fully understood.
Purpose of the Study:
- To assess the prognostic value of repolarization dispersion in SC.
- To evaluate its association with major cardiac events (MCE), recovery duration, and recurrence.
Main Methods:
- Analysis of 12-lead ECGs from 101 SC patients during acute, subacute, and recovery phases.
- Logistic and Cox regression models to identify predictors of MCE (mortality, shock, arrhythmias, stroke).
Main Results:
- Increased ΔQT dispersion (≥40 ms) and Δnegative T wave amplitude dispersion (≤-2.0 mV) during the subacute phase independently predicted MCE.
- These dispersion measures showed high accuracy (AUC 0.89) and were linked to longer recovery times and higher recurrence rates.
Conclusions:
- Dynamic assessment of repolarization dispersion is a valuable bedside tool for predicting adverse outcomes in SC.
- It accurately prognosticated short-term MCE, delayed recovery, and recurrence.
Introduction:
Although abnormalities of ventricular repolarization are a hallmark of SC, their clinical impact on management remains to be determined. This study sought to evaluate the prognostic value of dispersion of repolarization in stress cardiomyopathy (SC) with regards to major cardiac events (MCE), recovery time, and recurrence.
Methods:
This study analyzed data from258 patients with SC, from January 2009 to January 2018. Standard 12 lead ECG recordings during the acute, subacute, and recovery phases were collected for each eligible patient. Logistic regression was used to identify independent predictors of MCE, a composite of 30 day all-cause mortality, cardiogenic shock, life-threatening ventricular arrhythmias, and stroke.
Results:
Among the 101 eligible patients (80.2% females, mean age 45.8 ± 11.5 years) in the study cohort, MCE occurred in 16 patients (15.8%). Cox regression analysis identified two independent predictors of MCE: increased ΔQT dispersion ≥ 40 ms (HR 1.31, 95% CI 1.05-9.77, p = 0.029) and increased Δnegative T wave amplitude dispersion ≤ -2.0 mV (HR 1.25, 95% CI 1.11-11.93, p = 0.018) during the subacute phase. The final regression model had good accuracy (sensitivity 81.3%, specificity 96.5%) and discriminative power (AUC 0.89, 95% CI 0.83-0.95). Kaplan-Meier analysis revealed that there was increasing MCE in patients with zero, one, or two predictors (log rank p < 0.001). In addition, patients with increased dispersion also had a significantly longer time to achieve complete recovery (21.4 ± 6.8 vs. 8.5 ± 4.3 days, p = 0.012) and a higher incidence of recurrence (31.3% vs. 2.4%, p = 0.011) of SC.
Conclusion:
Evaluation of dynamic changes of dispersion of repolarization is a simple bed-side tool with high predictive accuracy for prognostication of short term adverse outcomes, delayed recovery, and recurrence in patients with SC.
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