Transcranial Doppler ultrasonography in sickle cell disease: a study in Omani patients

Arunodaya R Gujjar1, Mathew Zacharia, Salam Al-Kindi

  • 1Department of Medicine (Neurology), College of Medicine & Health Sciences, Sultan Qaboos University, Muscat, Oman.

Insights

Transcranial Doppler (TCD) can predict stroke in sickle cell disease (SCD). Abnormal TCD findings in the left posterior cerebral artery independently predicted stroke in Omani patients with SCD.

Area of Science:

  • Neurology
  • Vascular Medicine
  • Medical Imaging

Background:

  • Cerebrovascular complications are a major concern in sickle cell disease (SCD).
  • Transcranial Doppler (TCD) ultrasonography shows promise in predicting these complications.
  • Standardized criteria for abnormal TCD findings in SCD are currently lacking.

Purpose of the Study:

  • To investigate TCD characteristics of cerebral arteries in Omani patients with SCD.
  • To correlate TCD findings with cerebrovascular events, particularly stroke.
  • To identify specific TCD criteria predictive of stroke in this population.

Main Methods:

  • TCD ultrasonography was performed on 59 Omani patients with SCD using a 2 MHz probe.
  • Neurological symptoms, including stroke and epilepsy, were recorded.
  • TCD data were analyzed for velocities, flow patterns, and compared with clinical outcomes.

Main Results:

  • 56% of patients had neurological symptoms; 20% had experienced stroke.
  • 25% of patients exhibited significant TCD abnormalities (increased velocities, turbulent flow, reversed flow).
  • Abnormal TCD velocities in the posterior circulation correlated with stroke history (P < 0.05).
  • Abnormal TCD in the left posterior cerebral artery was an independent predictor of stroke (P = 0.035).

Conclusions:

  • Modified TCD criteria can identify cerebrovascular abnormalities in SCD patients.
  • Increased TCD velocities in the posterior circulation are associated with stroke risk.
  • Left posterior cerebral artery abnormalities on TCD are a significant independent predictor of stroke in SCD.