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Effectiveness of a new diagnostic algorithm for the diagnosis of unexplained syncope in patients with hypertrophic
M Rafanelli1, S Agusto1, C Fumagalli2
1Syncope Unit, Department of Geriatric Cardiology and Intensive Care, Careggi University Hospital, Florence, Italy.
Insights
A new diagnostic algorithm successfully identified the cause of syncope in nearly 90% of hypertrophic cardiomyopathy (HCM) patients. This structured approach aids in preventing sudden cardiac death (SCD) and optimizing risk stratification.
Area of Science:
- Cardiology
- Internal Medicine
Background:
- Hypertrophic cardiomyopathy (HCM) poses a risk of sudden cardiac death (SCD) in patients experiencing unexplained syncope.
- Identifying the cause of syncope is critical for effective management and prevention of SCD in HCM patients.
Purpose of the Study:
- To evaluate the effectiveness of a novel stepwise diagnostic algorithm for assessing the causes of syncope in a cohort of HCM patients.
- To determine if the algorithm improves etiological diagnosis and risk stratification.
Main Methods:
- A retrospective analysis of consecutive HCM patients with unexplained syncope was performed.
- A stepwise diagnostic algorithm including initial evaluation, autonomic testing, and implantable loop recorders was applied.
- Data were collected from patients referred to specialized units between May 2004 and July 2024.
Main Results:
- The algorithm established a diagnosis in 88.3% of 43 HCM patients.
- Initial evaluation identified hypotensive or arrhythmic causes in 51.2% of cases.
- Autonomic assessment and implantable loop recorders provided diagnoses in 25.5% and 15.3% of relevant cases, respectively.
Conclusions:
- A structured, stepwise diagnostic approach is highly effective in determining the cause of syncope in HCM patients.
- This method can optimize long-term risk stratification and potentially reduce unnecessary device implantation.
- No sudden cardiac deaths occurred during the follow-up period in patients diagnosed using the algorithm.
Background:
In patients with hypertrophic cardiomyopathy (HCM), identifying the underlying mechanism of unexplained syncope is crucial for preventing sudden cardiac death (SCD) and managing recurrences. We evaluated the effectiveness of a novel stepwise diagnostic algorithm for the etiological assessment of syncope in a clinical HCM cohort.
Methods:
We retrospectively applied the algorithm to consecutive HCM patients with unexplained syncope referred to the Syncope or Cardiomyopathy Units at Careggi University Hospital (Florence, Italy) between May 2004 and July 2024.
Results:
Among 43 patients (mean age 54.9 ± 17.4 years; 56% male), the cause of syncope was identified at Step 1 (initial evaluation) in 22 cases (51.2%): hypotensive in 18 and arrhythmic in 4. An obstructive mechanism (LVOTO) was the primary cause in 1 additional case (2.3%). Autonomic assessment (Step 3: Tilt Testing, Carotid Sinus Massage, and ABPM) provided diagnostic findings in 11 patients (25.5%). Implantable Loop Recorders (ILR, Step 4) were deployed in 13 patients (30.2%), revealing significant asystole in 2 (15.3%) and excluding arrhythmia in 1 (7.6%) during recurrences. Overall, the algorithm established a diagnosis in 88.3% of cases. Over a mean follow-up of 82.8 ± 50.6 months, no SCD occurred; 6 patients received an ICD.
Conclusion:
A structured, stepwise diagnostic approach clarified the cause of syncope in nearly 90% of HCM patients, potentially optimizing long-term risk stratification and reducing unnecessary device implantation.
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