Holter features to detect coronary artery spasm in ANOCA patients: A pilot study
Diantha Jm Schipaanboord1, Caïa Crooijmans2, Nicole S Erler3
1Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Insights
Holter monitoring may identify coronary artery spasm (CAS) in angina patients with non-obstructive coronary artery disease (ANOCA). This non-invasive method showed potential for detecting CAS features, including ST depression and heart rate changes, especially overnight.
Area of Science:
- Cardiology
- Medical Diagnostics
- Electrocardiography
Background:
- Coronary artery spasm (CAS) is common in patients with angina and non-obstructive coronary artery disease (ANOCA).
- Current diagnostic methods like coronary function testing (CFT) are invasive and limit further research.
- Identifying non-invasive diagnostic tools for CAS is crucial in ANOCA patients.
Purpose of the Study:
- To investigate if Holter monitoring with symptom tracking can identify features of CAS in ANOCA patients.
- To assess the diagnostic potential of Holter-based CAS features.
Main Methods:
- A pilot study involving 42 ANOCA patients who underwent 12-lead Holter monitoring for 2-7 days with simultaneous symptom tracking.
- Comparison of Holter-ECG characteristics and symptoms between patients with and without CAS.
- Calculation of diagnostic measures for CAS using various thresholds for ischemia-related parameters.
Main Results:
- Coronary artery spasm (CAS) was diagnosed in 79% of patients.
- Patients with CAS showed significantly more ST depression (≥1 min/day) compared to those without CAS (p=0.013 for ≥0.035 mV).
- CAS patients exhibited lower heart rates and longer PQ/QT times, particularly during nighttime and early morning.
Conclusions:
- Holter monitoring can reveal potential signals for coronary artery spasm (CAS) in ANOCA patients.
- ST depression, lower heart rates, and prolonged PQ times during night/early morning are indicative of CAS.
- Further large-scale, potentially AI-driven studies are warranted to validate these findings.
Background:
Coronary artery spasm (CAS), which can be epicardial and/or microvascular, is highly prevalent in patients with angina and non-obstructive coronary artery disease (ANOCA) undergoing coronary function testing (CFT). The CFT is invasive and limits larger diagnostics studies. We studied if Holter monitoring with symptom tracking identifies Holter-based CAS features with diagnostic potential in ANOCA patients.
Methods:
42 ANOCA patients (88% female) were recruited in the UMCU-IMPRESS pilot study and wore a 12-lead Holter device for 2-7 days prior to CFT, with simultaneous symptom tracking. We compared symptoms and Holter-ECG characteristics between patients with and without CAS and calculated diagnostic measures for CAS using several thresholds for ischemia-related parameters.
Results:
33 Patients were diagnosed with CAS (79%). These patients more often had ≥ 1 min of ST depression in total per day compared to patients without CAS (≥0.035 mV: 88% vs 44%, p = 0.013; ≥0.040 mV: 73% vs 33%, p = 0.049), but discriminative ability was limited (AUC (95% CI): 0.65 (0.48-0.68)). Furthermore, patients with CAS had periods of lower heart rates and longer PQ and QT times than patients without CAS, most evident at night and early morning.
Conclusions:
Patients with CAS more often demonstrated at least one minute of ST depression in total per day and exhibited periods of lower heart rates and longer PQ times mainly during the night and early morning compared to patients without CAS. Although discriminative ability was limited, we show that Holter monitoring may reveal signals in CAS patients, substantiating the need of large (AI-based) studies.
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