ABSTRACT NUMBER: ESOC2026A1248 VELOCITY CURVATURE INDEX: A NOVEL TRANSCRANIAL DOPPLER-BASED BIOMARKER OF DELAYED CEREBRAL ISCHEMIA FOLLOWING ANEURYSMAL SUBARACHNOID HEMORRHAGE

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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Journal
European Stroke Journal
Published
2026-05-01
DOI
https://doi.org/10.1093/esj/aakag023.1524
Primary Topic
Intracranial Aneurysms: Treatment and Complications
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article

ABSTRACT NUMBER: ESOC2026A1248 VELOCITY CURVATURE INDEX: A NOVEL TRANSCRANIAL DOPPLER-BASED BIOMARKER OF DELAYED CEREBRAL ISCHEMIA FOLLOWING ANEURYSMAL SUBARACHNOID HEMORRHAGE

Inger de Ridder, Yasin Temel, Céline van Craenenbroeck, Onno Teernstra et al.
European Stroke Journal
Intracranial Aneurysms: Treatment and Complications
article

ABSTRACT NUMBER: ESOC2026A1248 VELOCITY CURVATURE INDEX: A NOVEL TRANSCRANIAL DOPPLER-BASED BIOMARKER OF DELAYED CEREBRAL ISCHEMIA FOLLOWING ANEURYSMAL SUBARACHNOID HEMORRHAGE

Inger de Ridder, Yasin Temel, Céline van Craenenbroeck, Onno Teernstra, Marcel Aries, Michael Veldeman, Jim Dings, Hanna Schenck, Roel Haeren, Werner Mess, Erik Gommer
article en

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

European Stroke JournalVol. 11(Supplement_1)
University Medical Center (US), Maastricht University (NL), Universitätsklinikum Aachen (DE)
Good health and well-being
Openalex Percentile: Top 10%
Intracranial Aneurysms: Treatment and Complications
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