Abstract 9720: A New Window on a Cerebral Penumbra at Risk for a Secondary Ischemic Brain Injury in Post-Cardiac Arrest Patients

Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Changshin Kang ◽  
Jung Soo Park ◽  
Yeonho You

Aim: This study aimed to investigate new target having potential neuroprotective effect against a secondary ischemic brain injury in post out-of-hospital cardiac arrest (OHCA) patients. Methods: This study analyzed physiological variables among OHCA patients with good or poor neurological outcomes despite having normal diffusion-weighted image findings before targeted temperature management (TTM). The factors affecting cerebral perfusion after OHCA, such as the time-weighted average (TWA) of arterial carbon dioxide (PaCO 2 ), oxygen (PaO 2 ), and mean arterial pressure (MAP); and the intracranial pressure (ICP) and quotient albumin ratio (Qalb), measured at 0 and 24 h from the return of spontaneous circulation (ROSC), were analyzed retrospectively using prospectively collected data. The primary outcome was the association between the factors and poor neurological outcome. Results: Fifty-one patients were included in this study. Among them, 11 had poor neurological outcomes. The pre-hospital factors such as anoxic time, initial rhythm; and TWA of physiological factors (PaCO 2 , PaO 2 , and MAP), were not significantly different between groups (p > 0.05). The inter-group comparisons of Qalb at 0 and 24 h were not significant (p > 0.05), whereas Qalb (median [interquartile range]) significantly increased from 0 to 24 h in the poor outcome group (0.007 [0.003 - 0.011] to 0.013 [0.005 - 0.029]; p = 0.04). Simultaneously, the ICP of the poor outcome group significantly increased over time (12.0 mmHg [8.1 - 13.0] to 16.0 mmHg [9.3 - 22.4]; p = 0.03), and higher than those of good outcome group at 24 h (11.0 mmHg [6.5 - 16.0] vs. 16.0 [9.3 - 22.4]; p < 0.01). Conclusion: Blood-brain barrier disruption and increasing ICP were apparent in OHCA patients who progressed into poor outcome despite no significant difference of brain injury before TTM compared with those of good outcome. These factors may be the key window on strategy to prevent the secondary ischemic brain injury after OHCA.

2021 ◽  
Vol 10 (7) ◽  
pp. 1531
Author(s):  
Changshin Kang ◽  
Wonjoon Jeong ◽  
Jung Soo Park ◽  
Yeonho You ◽  
Jin Hong Min ◽  
...  

We compared the prognostic performances of serum neuron-specific enolase (sNSE), cerebrospinal fluid (CSF) NSE (cNSE), and CSF S100 calcium-binding protein B (cS100B) in out-of-hospital cardiac arrest (OHCA) survivors. This prospective observational study enrolled 45 patients. All samples were obtained immediately and at 24 h intervals until 72 h after the return of spontaneous circulation. The inter- and intragroup differences in biomarker levels, categorized by 3 month neurological outcome, were analyzed. The prognostic performances were evaluated with receiver operating characteristic curves. Twenty-two patients (48.9%) showed poor outcome. At all-time points, sNSE, cNSE, and cS100B were significantly higher in the poor outcome group than in the good outcome group. cNSE and cS100B significantly increased over time (baseline vs. 24, 48, and 72 h) in the poor outcome group than in the good outcome group. sNSE at 24, 48, and 72 h showed significantly lower sensitivity than cNSE or cS100B. The sensitivities associated with 0 false-positive rate (FPR) for cNSE and cS100B were 66.6% vs. 45.5% at baseline, 80.0% vs. 80.0% at 24 h, 84.2% vs. 94.7% at 48 h, and 88.2% (FPR, 5.0%) vs. 94.1% at 72 h. High cNSE and cS100B are strong predictors of poor neurological outcome in OHCA survivors. Multicenter prospective studies may determine the generalizability of these results.


Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Pamela J Zelnick ◽  
Liang Zhu ◽  
Louise D McCullough ◽  
Amrou Sarraj

Introduction: The NIH Stroke Scale (SS) is a widely used tool for directing treatment and predicting outcomes in Acute Ischemic Stroke (AIS). Severe strokes with high admission SS often correlate with long term disability, and as such, SS serves as a strong predictor of outcome. Final infarct volume (FIV) is also a pivotal predictor of stroke outcome. We aimed to evaluate the relationship between SS, FIV and outcome, and hypothesize that a combined approach evaluating both FIV and SS may more accurately correlate with patient outcomes. Methods: A single center, retrospective cohort study, examined AIS patients with large vessel occlusion (LVO) affecting the anterior circulation, between July 2004 and April 2013. Patients were stratified by treatment to 1) intra-arterial therapy, 2) IV tPA, 3) both or 4) neither. Primary outcomes measured were mRS at discharge and 90 days (good outcome mRS 0-2, poor 4-6). FIV was manually calculated from DWI obtained within the first 7 days of presentation. SS and FIV were compared against good and poor mRS outcomes using Wilcoxon rank sum test. Logistic regression analysis was used to evaluate the association between SS, FIV and mRS. Finally, likelihood ratio test was used to compare model fit between a model including SS alone and model including both SS and FIV. Results: In 332 patients, SS was significantly higher in the poor outcome group (17.3 ± 5.4) when compared to the good outcome group (13.0 ± 6.1) (p=0.0002). In the same analysis, FIVs were also larger in the poor outcome group (110.3 ± 113 cm3) when compared to the good outcome group (37.2 ± 68.3 cm3) (p<0.0001). A combined SS and FIV model correlated significantly better with discharge outcome than did SS alone (p=0.0015). Analysis of 182 patient outcomes at 90 days maintained similar findings, with SS (18 ± 5.9) and FIVs (115.4 ± 121.0 cm3) significantly higher in poor outcomes than in good outcomes; (13.0 ± 5.4) and (35.7 ± 38.2 cm3) respectively (p<0.0001). Combined SS and FIV model, again, was significantly better at modeling outcome at 90 days than was a model including SS alone (p=0.0044). Conclusions: A combined model including FIV and SS better correlates with clinical outcomes at discharge and 90 days in patients with AIS due to LVO, than does a model using SS alone.


2021 ◽  
Vol 10 (23) ◽  
pp. 5697
Author(s):  
Hogul Song ◽  
Changshin Kang ◽  
Jungsoo Park ◽  
Yeonho You ◽  
Yongnam In ◽  
...  

We aimed to investigate intracranial pressure (ICP) changes over time and the neurologic prognosis for out-of-hospital cardiac arrest (OHCA) survivors who received targeted temperature management (TTM). ICP was measured immediately after return of spontaneous circulation (ROSC) (day 1), then at 24 h (day 2), 48 h (day 3), and 72 h (day 4), through connecting a lumbar drain catheter to a manometer or a LiquoGuard machine. Neurological outcomes were determined at 3 months after ROSC, and a poor neurological outcome was defined as Cerebral Performance Category 3–5. Of the 91 patients in this study (males, n = 67, 74%), 51 (56%) had poor neurological outcomes. ICP was significantly higher in the poor outcome group at each time point except day 4. ICP elevation was highest between days 2 and 3 in the good outcome group, and between days 1 and 2 in the poor outcome group. However, there was no difference in total ICP elevation between the poor and good outcome groups (3.0 vs. 3.1; p = 0.476). All OHCA survivors who had received TTM had elevated ICP, regardless of neurologic prognosis. However, the changing pattern of ICP levels differed depending on the neurological outcome.


Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Hogul Song ◽  
Yeonho You ◽  
Changshin Kang ◽  
Jung Soo Park

Introduction: Increased intracranial pressure (ICP) is one of the most serious post-cardiac arrest (CA) complications, and is associated with poor outcomes. However, only a few studies have described the changes in ICP over time according to neurologic outcomes during targeted temperature management (TTM) after CA. We aimed to investigate the changes in the ICP over time and neurologic prognosis in out-of-hospital cardiac arrest (OHCA) survivors who received TTM. Methods: This retrospective single-center study included OHCA survivors who underwent TTM between May 2018 and December 2020. ICP was measured immediately after the return of spontaneous circulation (ROSC) (Day 1), and after 24 h (Day 2), 48 h (Day 3), and 72 h (Day 4) by connecting a lumbar drain. The neurologic outcome was determined 3 months after the ROSC, and the Cerebral Performance Category (CPC) was dichotomized into good (CPC 1-2) and poor (CPC 3-5) outcomes. Results: We included 91 patients (males, 67; 74%); of whom 51 (56%) had a poor outcome. The ICP was significantly higher in the poor outcome group at each time point, except for Day 4. Moreover, the peak ICP levels were also higher in the poor outcome group (17.0 vs. 14.8; P = 0.002). The change in ICP levels was highest between Day 2 and Day 3 in the good outcome group, but between Day 1 and Day 2 in the poor outcome group. However, there was no difference in the total ICP change between the poor and good outcome groups (3.00 vs 3.09; P = 0.52). Using receiver operating characteristic analyses, the optimal cutoff values of the ICP levels for the prediction of poor outcomes were determined as: day 1, > 11.8; day 2, > 14.0; day 3, > 15.0; and day 4, > 14.8. Conclusions: All OHCA survivors who received TTM had an elevated ICP, regardless of the neurologic prognosis. However, peak ICP levels and the change in the ICP level on the first day after the ROSC was significantly higher in the poor outcome group. A prospective, multi-center study is required to confirm these results.


2020 ◽  
Vol 38 (4) ◽  
pp. 260-271
Author(s):  
Sue Hyun Lee ◽  
Hyung Seok Ahn ◽  
Yong Hwan Kim ◽  
Hyang Woon Lee ◽  
Jung Hwa Lee

Background: Post-cardiac arrest syndrome (PCAS) is one of the critical conditions which can result in a more serious brain injury. Early and accurate prognostication is crucial for deciding the patient’s therapeutic plan and setting the treatment goal. This study aimed to establish the prognostication values of quantitative electroencephalography (QEEG) in PCAS patients.Methods: We recruited 183 PCAS patients treated with therapeutic hypothermia. Electroencephalography (EEG) data within 72 hours after cardiac arrest (CA) and clinical data were collected. QEEG analysis including power spectral density (PSD) and connectivity analysis of default mode network (DMN) with imaginary coherence were performed.Results: There were significantly different patterns of PSD between neurologic good and poor outcome groups; absolute and relative power of the alpha 2 and beta 1 frequency (10-15 Hz) bands were increased in all brain regions of good outcome group. However, the relative power of the delta band and higher frequency bands over fast alpha (beta 3 and gamma bands over 20 Hz) were poor outcome markers. We found out that connectivity of DMN were significantly decreased in the poor outcome group compared with the good outcome group.Conclusions: These findings suggest that QEEG analysis could quantify and automate the interpretation of EEG. Furthermore, they can improve the prognostic values for neurologic outcomes relatively accurately and objectively in PCAS patients treated with hypothermia compared with traditional visual grading.


Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Takuya Kanamaru ◽  
Satoshi Suda ◽  
Junya Aoki ◽  
Kentaro Suzuki ◽  
Yuki Sakamoto ◽  
...  

Background: It is reported that pre-stroke cognitive impairment is associated with poor functional outcome after stroke associated with small vessel disease. However, it is not clear that pre-stroke cognitive impairment is associated with poor outcome in patients treated with mechanical thrombectomy. Method: We enrolled 127 consecutive patients treated with mechanical thrombectomy for acute ischemic stroke from December 2016 to November 2018. Pre-stroke cognitive function was evaluated using the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). We retrospectively compared poor outcome (a score of 3 to 6 on the modified Rankin Scale at 90 days) group (n=75) with good outcome (a score of 0, 1, or 2 on the modified Rankin Scale at 90 days) group (n=52) and examined that IQCODE could be the predictor of PO. Result: IQCODE was significantly higher in poor outcome group than in good outcome group (89 vs. 82, P=0.0012). Moreover, age (77.2 years old vs. 71.6 years old, P= 0.0009), the percentage of female (42.7% vs. 17.3%, P= 0.0021), complication of hypertension (HT, 68.0% vs. 44.2%, P=0.0076), National Institutes of Health Stroke Scale (NIHSS) at admission (20 vs. 11, P<0.0001), the percentage of postoperative intracerebral hemorrhage (ICH, 33.3% vs. 15.4%, P=0.0233) were higher in poor outcome group than in good outcome group, too. However, there was no significant difference between poor outcome and good outcome groups in occlusion site (P= 0.1229), DWI-ASPECTS (P= 0.2839), the duration from onset to recanalization (P=0.4871) and other risk factors. Multivariable logistic regression analysis demonstrated that IQCODE, HT and NIHSS at admission were associated with poor outcome (P= 0.0128, P=0.0061 and P<0.0001, respectively). Conclusion: Cognitive impairment could be associated with poor outcome in patients treated with mechanical thrombectomy.


2020 ◽  
Vol 22 (3) ◽  
pp. 286-305 ◽  
Author(s):  
Shuai Zhang ◽  
Brittany Bolduc Lachance ◽  
Bilal Moiz ◽  
Xiaofeng Jia

Stem cells have been used for regenerative and therapeutic purposes in a variety of diseases. In ischemic brain injury, preclinical studies have been promising, but have failed to translate results to clinical trials. We aimed to explore the application of stem cells after ischemic brain injury by focusing on topics such as delivery routes, regeneration efficacy, adverse effects, and in vivo potential optimization. PUBMED and Web of Science were searched for the latest studies examining stem cell therapy applications in ischemic brain injury, particularly after stroke or cardiac arrest, with a focus on studies addressing delivery optimization, stem cell type comparison, or translational aspects. Other studies providing further understanding or potential contributions to ischemic brain injury treatment were also included. Multiple stem cell types have been investigated in ischemic brain injury treatment, with a strong literature base in the treatment of stroke. Studies have suggested that stem cell administration after ischemic brain injury exerts paracrine effects via growth factor release, blood-brain barrier integrity protection, and allows for exosome release for ischemic injury mitigation. To date, limited studies have investigated these therapeutic mechanisms in the setting of cardiac arrest or therapeutic hypothermia. Several delivery modalities are available, each with limitations regarding invasiveness and safety outcomes. Intranasal delivery presents a potentially improved mechanism, and hypoxic conditioning offers a potential stem cell therapy optimization strategy for ischemic brain injury. The use of stem cells to treat ischemic brain injury in clinical trials is in its early phase; however, increasing preclinical evidence suggests that stem cells can contribute to the down-regulation of inflammatory phenotypes and regeneration following injury. The safety and the tolerability profile of stem cells have been confirmed, and their potent therapeutic effects make them powerful therapeutic agents for ischemic brain injury patients.


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