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May 8, 2026European Stroke Journal0 citationsOpen Access

Abstract Number: Esoc2026a1248 Velocity Curvature Index: A Novel Transcranial Doppler-Based Biomarker of Delayed Cerebral Ischemia Following Aneurysmal Subarachnoid Hemorrhage

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HSHanna SchenckCCCéline van CraenenbroeckEGErik Gommer

Key Points

  • This research aims to determine if the velocity curvature index (VCI) can predict delayed cerebral ischemia (DCI) following aneurysmal subarachnoid hemorrhage (aSAH).
  • Prospective, repeated TCD examinations performed in aSAH patients within two weeks post-ictus.
  • Measurement of bilateral middle cerebral artery (MCA) CBFV at three depths for ≥30 seconds.
  • Mixed-effects models and receiver operating characteristic (ROC) analysis were utilized to evaluate factors associated with VCI and predict DCI.
  • Thirty patients were included, with seven developing DCI.
  • Lower VCI values were significantly associated with DCI (β = -1.07, p = 0.038).
  • Baseline distal MCA VCI, age, and sex predicted DCI with excellent accuracy (AUC 0.91, 95% CI 0.79–1.00).

Abstract

Abstract Background and aims Delayed cerebral ischemia (DCI) is a major cause of morbidity after aneurysmal subarachnoid hemorrhage (aSAH) and is thought to result from impaired microvascular physiology. Currently, there are no biomarkers for DCI. Transcranial Doppler (TCD) is commonly used to assess vasospasms as surrogate marker for the diagnosis of DCI, yet is limited in predicting DCI. The velocity curvature index (VCI) is a novel TCD-based metric quantifying the morphology of cerebral blood flow velocity (CBFV) waveforms, also in response to changes in the distal microvasculature. Therefore, we hypothesized that VCI predicts DCI. Methods Prospective, repeated TCD examinations were performed in aSAH patients during the first two weeks after ictus. Bilateral middle cerebral artery (MCA) CBFV was measured at three depths for ≥30 seconds. VCI was calculated from individual beat waveforms to generate a representative waveform. Lower VCI values indicate signal dampening. Mixed-effects models were used to identify factors associated with VCI. Receiver operating characteristic (ROC) analysis evaluated prediction of DCI. Results Thirty patients were included; seven developed DCI. Distal MCA CBFV were associated with lower VCI (β = −0.17, SE = 0.08, p = 0.044). In linear mixed-effects analysis, distal MCA VCI was significantly lower in patients who developed DCI (β = −1.07, p = 0.038). Baseline distal MCA VCI, age, and sex predicted DCI with excellent accuracy (AUC 0.91, 95% bootstrap percentile CI 0.79–1.00). Conclusions Impaired VCI in the distal MCA preceded DCI in our cohort and may serve as a non-invasive, bedside biomarker for predicting DCI in aSAH patients. Conflict of interest H Schenck: nothing to declare, C van Craenenbroeck: nothing to declare, E Gommer: nothing to declare, W Mess: nothing to declare, M Aries: nothing to declare, M Veldeman; nothing to declare, O Teernstra: nothing to declare, J Dings; nothing to declare, I de Ridder; nothing to declare, Y Temel: nothing to declare, R Haeren: nothing to declare

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Cite This Study

Schenck et al. (2026) studied this question.

synapsesocial.com/papers/69fd7e5cbfa21ec5bbf068c4https://doi.org/10.1093/esj/aakag023.1524
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