Cortical Blood Flow Insufficiency Scores with Computed Tomography Perfusion can Predict Outcomes in Aneurysmal Subarachnoid Hemorrhage Patients: A Cohort Study

Jun Tanabe, Ichiro Nakahara, Shoji Matsumoto, Yoshio Suyama, Jun Morioka, Jumpei Oda, Akiko Hasebe, Takeya Suzuki, Sadayoshi Watanabe, Kenichiro Suyama, Tsuyoshi Ohta, Kazuhiro Murayama, Yuichi Hirose

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Background: The World Federation of Neurosurgical Societies (WFNS) scale is widely accepted for predicting outcomes for subarachnoid hemorrhage (SAH) patients. However, it is difficult to definitely predict outcomes for the most poor grade, WFNS grade 5. The present study aimed to investigate the prognostic ability of a novel classification using computed tomography perfusion (CTP) findings, called the cortical blood flow insufficiency (CBFI) scores. Methods: CTP was performed on admission for aneurysmal SAH followed by radical treatments within 72 hours of onset. Twenty-four cerebral cortex regions of interest (ROIs) were defined. CBFI was defined as Tmax > 4 s in each ROI, and CBFI scores were calculated based on the total number of ROIs with CBFI. Using the optimal cutoff value based on receiver operating characteristics (ROC) analysis to predict patient functional outcomes, CBFI scores were divided into “high” or “low” CBFI scores. Patient functional outcomes at 90 days were categorized based on modified Rankin Scale scores (0–3, favorable group; 4–6 unfavorable group) (0–4, non-catastrophic group; 5–6, catastrophic group). Results: Fifty-seven patients were included in this study, of whom 21 (36.8%) and 13 (22.8%) were in the unfavorable and the catastrophic groups, respectively. A factor predicting unfavorable and catastrophic outcomes was CBFI score cutoff value of 7 points (area under the curve, 0.73 and 0.81, respectively). In multivariable logistic regression analysis for unfavorable outcome, high CBFI scores (odds ratio (OR), 8.6; 95% confidence interval (CI), 1.1–65.4; P = 0.04) and WFNS grade 5 (OR, 30.0; 95% CI, 4.5–201.0; P < 0.001) remained as independent predictors, while for catastrophic outcome, high CBFI scores (OR, 25.3; 95% CI, 3.3–194.0; P = 0.002) and age (OR, 1.1; 95% CI, 1.0–1.2; P = 0.02) remained as independent predictors. Conversely, WFNS grade 5 was not an independent predictor of catastrophic outcomes (OR, 3.8; 95% CI, 0.6–24.0; P = 0.15). In high CBFI scores, the OR of the delayed cerebral ischemia (DCI) occurrence was 9.6 (95% CI, 1.5–61.4; P = 0.02) after adjusting for age. Conclusion: High CBFI scores could predict unfavorable and catastrophic outcomes for aneurysmal SAH patients and DCI occurrence.

Original languageEnglish
Pages (from-to)946-955
Number of pages10
JournalNeurocritical Care
Issue number3
Publication statusPublished - 06-2021

All Science Journal Classification (ASJC) codes

  • Critical Care and Intensive Care Medicine
  • Clinical Neurology


Dive into the research topics of 'Cortical Blood Flow Insufficiency Scores with Computed Tomography Perfusion can Predict Outcomes in Aneurysmal Subarachnoid Hemorrhage Patients: A Cohort Study'. Together they form a unique fingerprint.

Cite this