scholarly journals Screening Computed Tomography Angiography to Identify Patients at Low Risk for Delayed Cerebral Ischemia Following Aneurysmal Subarachnoid Hemorrhage

2021 ◽  
Vol 12 ◽  
Author(s):  
Andrew M. Nguyen ◽  
Craig A. Williamson ◽  
Aditya S. Pandey ◽  
Kyle M. Sheehan ◽  
Venkatakrishna Rajajee

Introduction: Delayed cerebral ischemia (DCI) occurs during a risk period of 3–21 days following aneurysmal subarachnoid hemorrhage (aSAH) and is associated with worse outcomes. The identification of patients at low risk for DCI might permit triage to less intense monitoring and management. While large-vessel vasospasm (LVV) is a distinct clinical entity from DCI, the presence of moderate-to-severe LVV is associated with a higher risk of DCI. Our hypothesis was that the absence of moderate-to-severe LVV on screening computed tomographic angiography (CTA) performed within the first few days of the DCI risk period will accurately identify patients at low risk for subsequent DCI.Methods: This was a retrospective cohort study. Our institutional SAH outcomes registry was queried for all aSAH patients admitted in 2016–2019 who underwent screening CTA brain between days 4 and 8 following ictus. We excluded patients diagnosed with DCI prior to the first CTA performed during this time period. All variables are prospectively entered into the registry, and outcomes including DCI and LVV are prospectively adjudicated. We evaluated the predictive value and accuracy of moderate-to-severe LVV on CTA performed 4–8 days following ictus for the prediction of subsequent DCI.Results: A total of 243 aSAH patients were admitted during the study timeframe. Of the 54 patients meeting the eligibility criteria, 11 (20%) had moderate-to-severe LVV on the screening CTA study performed during the risk period. Seven of the 11 (64%) patients with moderate-to-severe LVV on the days 4–8 screening CTA vs. six of 43 (14%) patients without, subsequently developed DCI. On multivariate analysis, the presence of LVV on days 4–8 screening CTA was an independent predictor of DCI (odds ratio 10.26, 95% CI 1.69–62.24, p = 0.011). NPV for the subsequent development of DCI was 86% (95% CI 77–92%). Sensitivity was 54% (25–81%), specificity 90% (77–97%), and positive predictive value 64% (38–83%).Conclusions: The presence of moderate-to-severe LVV on screening CTA performed between days 4 and 8 following aSAH was an independent predictor of DCI, but achieved only moderate diagnostic accuracy, with NPV 86% and sensitivity 54%. Complementary risk-stratification strategies are likely necessary.

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Andrew Nguyen ◽  
Craig A Williamson ◽  
Aditya S Pandey ◽  
Kyle M Sheehan ◽  
Venkatakrishna Rajajee

Introduction: Delayed Cerebral Ischemia (DCI) occurs during a risk period of 3-21 days following aneurysmal subarachnoid hemorrhage (aSAH) and is associated with worse outcomes. The identification of patients at low risk for DCI might permit triage to less intense monitoring and management. While large-vessel vasospasm (LVV) is a distinct clinical entity from DCI, the presence of moderate-severe LVV is associated with a higher risk of DCI. Hypothesis: The absence of moderate-severe LVV on screening CT angiography (CTA) performed within the first few days of the DCI risk period will accurately identify patients at low risk for subsequent DCI. Methods: Our institutional SAH outcomes registry was queried for all aSAH patients admitted 2016 - 2019 who underwent CTA brain between days 4-8 following ictus. We excluded patients who suffered DCI prior to this CTA study. All variables are prospectively entered into the registry, and outcomes including DCI and LVV are prospectively adjudicated. We evaluated the accuracy of moderate-severe LVV on CTA performed 4-8 days from ictus for the prediction of subsequent DCI, with a focus on the Negative Predictive Value (NPV). Results: A total of 243 aSAH patients were admitted during the study timeframe and 76 (31%) underwent CTA during the 4-8 day window following ictus. Of these, 22 were excluded for occurrence of DCI prior to the CTA study. Of 54 patients meeting eligibility criteria, 11 (20%) had moderate-severe LVV on the screening CTA study performed during the risk period. Seven of 11 (64%) patients with moderate-severe LVV on the day 4-8 screening CTA, vs 6 of 43 (14%) patients without, subsequently developed DCI. The NPV of CTA performed during days 4-8 for the subsequent development of DCI was 86% (95%CI 77-92%). Sensitivity was 54% (25-81%), Specificity 90% (77-97%) and Positive Predictive Value 64% (38-83%). Conclusions: The NPV of screening CTA performed between days 4-8 following SAH for the subsequent development of DCI was moderate, at 86%. The population studied likely represents a high-risk cohort, however, prospective studies of alternate risk-stratification strategies are necessary.


Author(s):  
Katrina Hannah D. Ignacio ◽  
Jose Danilo B. Diestro ◽  
Clare Angeli G. Enriquez ◽  
Juan Silvestre G. Pascual ◽  
Jose Miguel M. Medrano ◽  
...  

2016 ◽  
Vol 124 (5) ◽  
pp. 1257-1264 ◽  
Author(s):  
Gyanendra Kumar ◽  
Reza Bavarsad Shahripour ◽  
Mark R. Harrigan

OBJECT The impact of transcranial Doppler (TCD) ultrasonography evidence of vasospasm on patient-centered clinical outcomes following aneurysmal subarachnoid hemorrhage (aSAH) is unknown. Vasospasm is known to lead to delayed cerebral ischemia (DCI) and poor outcomes. This systematic review and meta-analysis evaluates the predictive value of vasospasm on DCI, as diagnosed on TCD. METHODS MEDLINE, Scopus, the Cochrane trial register, and clinicaltrials.gov were searched through September 2014 using key words and the terms “subarachnoid hemorrhage,” “aneurysm,” “aneurysmal,” “cerebral vasospasm,” “vasospasm,” “transcranial Doppler,” and “TCD.” Sensitivities, specificities, and positive and negative predictive values were pooled by a DerSimonian and Laird random-effects model. RESULTS Seventeen studies (n = 2870 patients) met inclusion criteria. The amount of variance attributable to heterogeneity was significant (I2 > 50%) for all syntheses. No studies reported the impact of TCD evidence of vasospasm on functional outcome or mortality. TCD evidence of vasospasm was found to be highly predictive of DCI. Pooled estimates for TCD diagnosis of vasospasm (for DCI) were sensitivity 90% (95% confidence interval [CI] 77%–96%), specificity 71% (95% CI 51%–84%), positive predictive value 57% (95% CI 38%–71%), and negative predictive value 92% (95% CI 83%–96%). CONCLUSIONS TCD evidence of vasospasm is predictive of DCI with high accuracy. Although high sensitivity and negative predictive value make TCD an ideal monitoring device, it is not a mandated standard of care in aSAH due to the paucity of evidence on clinically relevant outcomes, despite recommendation by national guidelines. High-quality randomized trials evaluating the impact of TCD monitoring on patient-centered and physician-relevant outcomes are needed.


2021 ◽  
Vol 12 ◽  
Author(s):  
Liuwei Chen ◽  
Sajan Pandey ◽  
Rui Shen ◽  
Yi Xu ◽  
Quanbin Zhang

Background: Systemic immune-inflammation index (SII) is a novel biomarker that reflects the state of a patient's inflammatory and immune status. This study aimed to determine the clinical significance of SII as a predictor of delayed cerebral ischemia (DCI) in patients with aneurysmal subarachnoid hemorrhage (SAH).Methods: Retrospective data were collected from aneurysmal SAH patients who had been admitted to our hospital between January 2015 and October 2019. Both univariate and multivariate analyses were performed to investigate whether SII was an independent predictor of DCI. In addition, the receiver operating characteristic (ROC) curve and area under the curve (AUC) were also evaluated.Results: There were 333 patients with aneurysmal SAH included in this study. Multivariate logistic analysis revealed that a modified Fisher grade 3 and 4 score [odds ratio (OR) = 7.851, 95% confidence interval (CI): 2.312–26.661, P = 0.001] and elevated SII (OR = 1.001, 95% CI: 1.001–1.002, P < 0.001) were independent risk factors for DCI. ROC curves showed that SII could predict DCI with an AUC of 0.860 (95% CI: 0.818–0.896, P < 0.001). The optimal cut-off value for SII to predict DCI was 1,424, and an SII ≥ 1,424 could predict DCI with a sensitivity of 93.1% and a specificity of 68.1%. Patients with higher SII value on admission tended to have higher incidence of acute hydrocephalus and DCI, greater modified Fisher and Hunt-Hess scales, and poorer outcomes.Conclusions: SII is an independent predictor of DCI in patients with aneurysmal SAH. The SII system can be implemented in a routine clinical setting to help clinicians diagnose patients with high risk of DCI.


2015 ◽  
Vol 8 (9) ◽  
pp. 923-926 ◽  
Author(s):  
Sang-Bae Ko ◽  
H Alex Choi ◽  
Raimund Helbok ◽  
J Michael Schmidt ◽  
Neeraj Badjatia ◽  
...  

ObjectiveInitial hemorrhage burden is an independent predictor for delayed cerebral ischemia (DCI) in patients with aneurysmal subarachnoid hemorrhage (aSAH). However, the association between clot clearance and DCI still remains to be elucidated.MethodsQuantitative analysis of hemorrhage volume and clot clearance was made in 116 consecutive patients who were scanned within 24 h from onset. Cisternal plus intraventricular hemorrhage volume (CIHV) was calculated as clot volume from the initial scans and scans performed up to 7 days after onset. Clot clearance was calculated as a percentage of residual clot volume compared with the clot volume on the initial scan. Initial clot volume and clot clearance were dichotomized to evaluate the association with DCI.ResultsIncluded patients were aged 55.5±15.2 years with a female preponderance (65.5%, (76/116)). The group with higher initial clot volume (≥17.2 mL) had higher odds for DCI (OR 4.3, 95% CI 1.3 to 14.0, p=0.015). However, the rate of DCI was not different between high and low clot clearance groups (26.7% vs 31.0%, p=0.66). Clot clearance rate was similar in patients with and without DCI up to day 7 after onset.ConclusionsThe quantitative clot clearance rate is not an independent predictor for DCI.


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