1
|
Hamam O, Gudenkauf J, Moustafa R, Cho A, Montes D, Sharara M, Moustafa A, Radmard M, Nabi M, Chen K, Sepehri S, Shin C, Mazumdar I, Kim M, Mohseni A, Malhotra A, Romero J, Yedavalli V. Hypoperfusion Intensity Ratio as an Indirect Imaging Surrogate in Patients With Anterior Circulation Large-Vessel Occlusion and Association of Baseline Characteristics With Poor Collateral Status. J Am Heart Assoc 2024; 13:e030897. [PMID: 39158547 DOI: 10.1161/jaha.123.030897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 11/15/2023] [Indexed: 08/20/2024]
Abstract
BACKGROUND Collateral status (CS) plays a crucial role in infarct growth rate, risk of postthrombectomy hemorrhage, and overall clinical outcomes in patients with acute ischemic stroke (AIS) secondary to anterior circulation large-vessel occlusions (LVOs). Hypoperfusion intensity ratio has been previously validated as an indirect noninvasive pretreatment imaging biomarker of CS. In addition to imaging, derangements in admission laboratory findings can also influence outcomes in patients with AIS-LVO. Therefore, our study aims to assess the relationship between admission laboratory findings, baseline characteristics, and CS, as assessed by hypoperfusion intensity ratio in patients with AIS-LVO. METHODS AND RESULTS In this retrospective study, consecutive patients presenting with AIS secondary to anterior circulation LVO who underwent pretreatment computed tomography perfusion were included. The computed tomography perfusion data processed by RAPID (Ischema View, Menlo Park, CA) generated the hypoperfusion intensity ratio. Binary logistic regression models were used to assess the relationship between patients' baseline characteristics, admission laboratory findings, and poor CS. A total of 221 consecutive patients with AIS-LVO between January 2017 and September 2022 were included in our study (mean±SD age, 67.0±15.8 years; 119 men [53.8%]). Multivariable logistic regression showed that patients with AIS caused by cardioembolic and cryptogenic causes (adjusted odds ratio [OR], 2.67; 95% CI, 1.20-5.97; P=0.016), those who presented with admission National Institutes of Health Stroke Scale score ≥12 (adjusted OR, 3.12; 95% CI, 1.61-6.04; P=0.001), and male patients (adjusted OR, 2.06; 95% CI, 1.13-3.77; P=0.018) were associated with poor CS. CONCLUSIONS Stroke caused by cardioembolic or cryptogenic causes, admission National Institutes of Health Stroke Scale score of ≥12, and male sex were associated with poor CS, as defined by hypoperfusion intensity ratio in the patients with AIS-LVO.
Collapse
Affiliation(s)
- Omar Hamam
- Department of Radiology, Massachusetts General Hospital Harvard Medical School Boston MA
| | - Julie Gudenkauf
- Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore MD
| | - Rawan Moustafa
- Department of Cardiovascular Medicine Robert Wood Johnson Medical School New Brunswick NJ
- School of Arts and Sciences Rutgers University-Newark Newark NJ
| | - Andrew Cho
- Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore MD
| | - Daniel Montes
- Radiology Resident University of Colorado, Anschutz Medical Campus Aurora CO
| | | | - Abdallah Moustafa
- Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore MD
| | - Mahla Radmard
- Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore MD
| | - Mehreen Nabi
- Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore MD
| | - Kevin Chen
- Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore MD
| | - Sadra Sepehri
- Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore MD
| | | | - Ishan Mazumdar
- Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore MD
| | - Minsoo Kim
- Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore MD
| | - Alireza Mohseni
- Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore MD
| | | | - Javier Romero
- Department of Radiology, Massachusetts General Hospital Harvard Medical School Boston MA
| | - Vivek Yedavalli
- Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore MD
| |
Collapse
|
2
|
Gong C, Huang L, Huang J, Chen L, Kong W, Chen Y, Li F, Liu C. The impacts of venous outflow profiles on outcomes among large vessel occlusion patients receiving endovascular treatment in the late window. Eur Radiol 2024:10.1007/s00330-024-10742-3. [PMID: 38724767 DOI: 10.1007/s00330-024-10742-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 03/17/2024] [Accepted: 03/21/2024] [Indexed: 05/30/2024]
Abstract
OBJECTIVES To investigate the association between venous outflow (VO) profiles and outcomes among acute ischemic stroke caused by anterior circulation large vessel occlusion (AIS-LVO) patients who had undergone endovascular treatment (EVT) in the late window of 6-24 h from stroke onset. METHODS This was a post-hoc analysis of our preceding RESCUE-BT trial, with findings validated in an external cohort. Baseline computed tomographic angiography (CTA) was performed to assess VO using the Cortical Vein Opacification Score (COVES). The primary clinical outcome was functional independence at 90 days (modified Rankin Scale score of 0-2). The adjusted odd ratio (aOR) and confidence interval (CI) were obtained from multivariable logistic regressions. RESULTS A total of 440 patients were included in the present study. After identifying the cutoff of COVES by marginal effects approach, enrolled patients were divided into the favorable VO group (COVES 4-6) and the poor VO (COVES 0-3) group. Multivariable logistic regression analysis showed that favorable VO (aOR 2.25; 95% CI 1.31-3.86; p = 0.003) was associated with functional independence. Similar results were detected in the external validation cohort. Among those with poor arterial collateralization, favorable VO was still an independent predictor of functional independence (aOR 2.09; 95% CI 1.06-4.10; p = 0.032). CONCLUSION The robust VO profile indicated by COVES 4-6 could promote the frequency of functional independence among AIS-LVO patients receiving EVT in the late window, and the prognostic value of VO was independent of the arterial collateral status. CLINICAL RELEVANCE STATEMENT The robust venous outflow profile was a valid predictor for functional independence among AIS-LVO patients receiving EVT in the late window (6-24 h) and the predictive role of venous outflow did not rely on the status of arterial collateral circulation.
Collapse
Affiliation(s)
- Chen Gong
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Liping Huang
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jiacheng Huang
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Liyuan Chen
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Weilin Kong
- Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, 400016, China
| | - Yangmei Chen
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| | - Fengli Li
- Xinqiao Hospital and The Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, 400016, China.
| | - Chang Liu
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| |
Collapse
|
3
|
Jan K, Chong JY. Treatment of Acute Ischemic Stroke: The Last 30 Years of Trials and Tribulations. Cardiol Rev 2024; 32:203-216. [PMID: 38520336 DOI: 10.1097/crd.0000000000000663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/25/2024]
Abstract
The landscape of acute ischemic stroke management has undergone a substantial transformation over the past 3 decades, mirroring our enhanced comprehension of the pathology and progress in diagnostic techniques, therapeutic interventions, and preventive measures. The 1990s marked a pivotal moment in stroke care with the integration of intravenous thrombolytics. However, the most significant paradigm shift in recent years has undoubtedly been the advent of endovascular thrombectomy. This article endeavors to deliver an exhaustive analysis of this revolutionary progression.
Collapse
Affiliation(s)
- Kalimullah Jan
- From the Vascular Neurology Fellow, New York Medical College, Westchester Medical Center, Valhalla, NY
| | - Ji Y Chong
- Stroke Center, New York Medical College, Westchester Medical Center, Valhalla, NY
| |
Collapse
|
4
|
Martinez-Gutierrez JC, Kim Y, Salazar-Marioni S, Tariq MB, Abdelkhaleq R, Niktabe A, Ballekere AN, Iyyangar AS, Le M, Azeem H, Miller CC, Tyson JE, Shaw S, Smith P, Cowan M, Gonzales I, McCullough LD, Barreto AD, Giancardo L, Sheth SA. Automated Large Vessel Occlusion Detection Software and Thrombectomy Treatment Times: A Cluster Randomized Clinical Trial. JAMA Neurol 2023; 80:1182-1190. [PMID: 37721738 PMCID: PMC10507590 DOI: 10.1001/jamaneurol.2023.3206] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 07/21/2023] [Indexed: 09/19/2023]
Abstract
Importance The benefit of endovascular stroke therapy (EVT) in large vessel occlusion (LVO) ischemic stroke is highly time dependent. Process improvements to accelerate in-hospital workflows are critical. Objective To determine whether automated computed tomography (CT) angiogram interpretation coupled with secure group messaging can improve in-hospital EVT workflows. Design, Setting, and Participants This cluster randomized stepped-wedge clinical trial took place from January 1, 2021, through February 27, 2022, at 4 comprehensive stroke centers (CSCs) in the greater Houston, Texas, area. All 443 participants with LVO stroke who presented through the emergency department were treated with EVT at the 4 CSCs. Exclusion criteria included patients presenting as transfers from an outside hospital (n = 158), in-hospital stroke (n = 39), and patients treated with EVT through randomization in a large core clinical trial (n = 3). Intervention Artificial intelligence (AI)-enabled automated LVO detection from CT angiogram coupled with secure messaging was activated at the 4 CSCs in a random-stepped fashion. Once activated, clinicians and radiologists received real-time alerts to their mobile phones notifying them of possible LVO within minutes of CT imaging completion. Main Outcomes and Measures Primary outcome was the effect of AI-enabled LVO detection on door-to-groin (DTG) time and was measured using a mixed-effects linear regression model, which included a random effect for cluster (CSC) and a fixed effect for exposure status (pre-AI vs post-AI). Secondary outcomes included time from hospital arrival to intravenous tissue plasminogen activator (IV tPA) bolus in eligible patients, time from initiation of CT scan to start of EVT, and hospital length of stay. In exploratory analysis, the study team evaluated the impact of AI implementation on 90-day modified Rankin Scale disability outcomes. Results Among 243 patients who met inclusion criteria, 140 were treated during the unexposed period and 103 during the exposed period. Median age for the complete cohort was 70 (IQR, 58-79) years and 122 were female (50%). Median National Institutes of Health Stroke Scale score at presentation was 17 (IQR, 11-22) and the median DTG preexposure was 100 (IQR, 81-116) minutes. In mixed-effects linear regression, implementation of the AI algorithm was associated with a reduction in DTG time by 11.2 minutes (95% CI, -18.22 to -4.2). Time from CT scan initiation to EVT start fell by 9.8 minutes (95% CI, -16.9 to -2.6). There were no differences in IV tPA treatment times nor hospital length of stay. In multivariable logistic regression adjusted for age, National Institutes of Health Stroke scale score, and the Alberta Stroke Program Early CT Score, there was no difference in likelihood of functional independence (modified Rankin Scale score, 0-2; odds ratio, 1.3; 95% CI, 0.42-4.0). Conclusions and Relevance Automated LVO detection coupled with secure mobile phone application-based communication improved in-hospital acute ischemic stroke workflows. Software implementation was associated with clinically meaningful reductions in EVT treatment times. Trial Registration ClinicalTrials.gov Identifier: NCT05838456.
Collapse
Affiliation(s)
| | - Youngran Kim
- Center for Healthcare Data, School of Public Health, UTHealth, Houston, Texas
| | | | | | - Rania Abdelkhaleq
- Department of Neurology, McGovern Medical School at UTHealth, Houston, Texas
| | - Arash Niktabe
- Department of Neurology, McGovern Medical School at UTHealth, Houston, Texas
| | - Anjan N. Ballekere
- Department of Neurology, McGovern Medical School at UTHealth, Houston, Texas
| | - Ananya S. Iyyangar
- Department of Neurology, McGovern Medical School at UTHealth, Houston, Texas
| | - Mai Le
- Department of Neurology, McGovern Medical School at UTHealth, Houston, Texas
| | - Hussain Azeem
- Department of Neurology, McGovern Medical School at UTHealth, Houston, Texas
| | - Charles C. Miller
- Department of Cardiovascular and Thoracic Surgery, McGovern Medical School at UTHealth, Houston, Texas
| | - Jon E. Tyson
- Department of Pediatrics, McGovern Medical School at UTHealth Houston, Texas
| | - Sandi Shaw
- Memorial Herman Hospital, Houston, Texas
| | - Peri Smith
- Memorial Herman Hospital, Houston, Texas
| | | | | | | | - Andrew D. Barreto
- Department of Neurology, McGovern Medical School at UTHealth, Houston, Texas
| | - Luca Giancardo
- UTHealth School of Biomedical Informatics, Houston, Texas
| | - Sunil A. Sheth
- Department of Neurology, McGovern Medical School at UTHealth, Houston, Texas
| |
Collapse
|
5
|
Ullberg T, von Euler M, Wester P, Arnberg F, Norrving B, Andersson T, Wassélius J. Endovascular thrombectomy for anterior circulation stroke beyond 6 hours of onset in Sweden 2015 to 2020: rates and outcomes in a nationwide register-based study. J Neurointerv Surg 2023; 15:330-335. [PMID: 35301261 PMCID: PMC10086473 DOI: 10.1136/neurintsurg-2022-018670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 02/28/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND Endovascular thrombectomy (EVT) for ischemic stroke (IS) beyond 6 hours has been proven effective in randomized controlled trials. We present data on implementation and outcomes for EVT beyond 6 hours in Sweden. METHODS We included all cases of anterior circulation IS caused by occlusion of the intracranial carotid artery, and the M1 or M2 segment of the middle cerebral artery, registered in two nationwide quality registers for stroke in 2015-2020. Three groups were defined from onset-to-groin-puncture (OTG) time: early window (<6 hours), late window (6-24 hours) known onset, late window last seen well (LSW). Favorable outcome (modified Rankin Scale (mRS) 0-2) and all-cause mortality at 90 days were the main outcomes, and symptomatic intracerebral hemorrhage (sICH) was the safety outcome. RESULTS Late window EVT increased from 0.3% of all IS in 2015 to 1.8% in 2020, and from 17.4% of all anterior circulation EVTs in 2015 to 32.9% in 2020. Of 2199 patients, 76.9% (n=1690) were early window EVTs and 23.1% late window EVTs (n=509; 141 known onset, 368 LSW). Median age was 73 years, and 46.2% were female, with no differences between groups. Favorable outcome did not differ between groups (early window 42.4%, late window known onset 38.9%, late window LSW 37.3% (p=0.737)) and remained similar when adjusted for baseline differences. sICH rates did not differ (early window 4.0%, late window known onset 2.1%, late window LSW 4.9% (p=0.413)). CONCLUSION Late window EVTs have increased substantially over time, and currently account for one third of anterior circulation treatments. Early and late window patients had similar outcomes.
Collapse
Affiliation(s)
- Teresa Ullberg
- Department of Diagnostic Radiology, Neuroradiology, Skåne University Hospital, Lund University, Lund, Sweden .,Department of Neurology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Mia von Euler
- Department of Neurology, Örebro University Hospital, School of Medicine, Örebro University, Örebro, Sweden
| | - Per Wester
- Department of Public Health and Clinical Science, Umeå University, Umeå, Sweden.,Departments of Neuroradiology Department of Clinical Science, Karolinska Institute, Danderyds Hospital, Stockholm, Sweden
| | - Fabian Arnberg
- Departments of Neuroradiology; Department of Clinical Neuroscience, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Bo Norrving
- Department of Neurology, Skåne University Hospital, Lund University, Lund, Sweden
| | - Tommy Andersson
- Departments of Neuroradiology; Department of Clinical Neuroscience, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden.,Departments of Radiology and Neurology, AZ Groeninge, Kortrijk, Belgium
| | - Johan Wassélius
- Department of Diagnostic Radiology, Neuroradiology, Skåne University Hospital, Lund University, Lund, Sweden
| |
Collapse
|
6
|
Asdaghi N, Wang K, Gardener H, Jameson A, Rose DZ, Alkhachroum A, Gutierrez CM, Hao Y, Mueller-Kronast N, Sur NB, Dong C, Perue GG, LePain M, Koch S, Krementz N, Marulanda-Londoño E, Hanel R, Mehta B, Yavagal DR, Rundek T, Sacco RL, Romano JG. Impact of Time to Treatment on Endovascular Thrombectomy Outcomes in the Early Versus Late Treatment Time Windows. Stroke 2023; 54:733-742. [PMID: 36848428 PMCID: PMC9991076 DOI: 10.1161/strokeaha.122.040352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 12/09/2022] [Indexed: 03/01/2023]
Abstract
BACKGROUND The impact of time to treatment on outcomes of endovascular thrombectomy (EVT) especially in patients presenting after 6 hours from symptom onset is not well characterized. We studied the differences in characteristics and treatment timelines of EVT-treated patients participating in the Florida Stroke Registry and aimed to characterize the extent to which time impacts EVT outcomes in the early and late time windows. METHODS Prospectively collected data from Get With the Guidelines-Stroke hospitals participating in the Florida Stroke Registry from January 2010 to April 2020 were reviewed. Participants were EVT patients with onset-to-puncture time (OTP) of ≤24 hours and categorized into early window treated (OTP ≤6 hours) and late window treated (OTP >6 and ≤24 hours). Association between OTP and favorable discharge outcomes (independent ambulation, discharge home and to acute rehabilitation facility) as well as symptomatic intracerebral hemorrhage and in-hospital mortality were examined using multilevel-multivariable analysis with generalized estimating equations. RESULTS Among 8002 EVT patients (50.9% women; median age [±SD], 71.5 [±14.5] years; 61.7% White, 17.5% Black, and 21% Hispanic), 34.2% were treated in the late time window. Among all EVT patients, 32.4% were discharged home, 23.5% to rehabilitation facility, 33.7% ambulated independently at discharge, 5.1% had symptomatic intracerebral hemorrhage, and 9.2% died. As compared with the early window, treatment in the late window was associated with lower odds of independent ambulation (odds ratio [OR], 0.78 [0.67-0.90]) and discharge home (OR, 0.71 [0.63-0.80]). For every 60-minute increase in OTP, the odds of independent ambulation reduced by 8% (OR, 0.92 [0.87-0.97]; P<0.001) and 1% (OR, 0.99 [0.97-1.02]; P=0.5) and the odds of discharged home reduced by 10% (OR, 0.90 [0.87-0.93]; P<0.001) and 2% (OR, 0.98 [0.97-1.00]; P=0.11) in the early and late windows, respectively. CONCLUSIONS In routine practice, just over one-third of EVT-treated patients independently ambulate at discharge and only half are discharged to home/rehabilitation facility. Increased time from symptom onset to treatment is significantly associated with lower chance of independent ambulation and ability to be discharged home after EVT in the early time window.
Collapse
Affiliation(s)
- Negar Asdaghi
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Kefeng Wang
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Hannah Gardener
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Angus Jameson
- University of South Florida Morsani College of Medicine, Tampa FL
| | - David Z Rose
- University of South Florida Morsani College of Medicine, Tampa FL
| | - Ayham Alkhachroum
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Carolina M. Gutierrez
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Ying Hao
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | | | - Nicole B Sur
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Chuanhui Dong
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Gillian Gordon Perue
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Marissa LePain
- Morton Plant Mease Hospitals, BayCare Health System West Region, FL
| | - Sebastian Koch
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Nastajjia Krementz
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | | | | | | | - Dileep R Yavagal
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Tatjana Rundek
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Ralph L. Sacco
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | - Jose G. Romano
- Department of Neurology, Leonard M. Miller School of Medicine, University of Miami, FL
| | | |
Collapse
|
7
|
Baseline Characteristics Associated with Good Collateral Status Using Hypoperfusion Index as an Outcome. Tomography 2022; 8:1885-1894. [PMID: 35894024 PMCID: PMC9330882 DOI: 10.3390/tomography8040159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 07/14/2022] [Accepted: 07/20/2022] [Indexed: 11/16/2022] Open
Abstract
Up to 30% of ischemic stroke cases are due to large vessel occlusion (LVO), causing significant morbidity. Studies have shown that the collateral circulation of patients with acute ischemic stroke (AIS) secondary to LVO can predict their clinical and radiological outcomes. The aim of this study is to identify baseline patient characteristics that can help predict the collateral status of these patients for improved triage. In this IRB approved retrospective study, consecutive patients presenting with AIS secondary to anterior circulation LVO were identified between September 2019 and August 2021. The baseline patient characteristics, laboratory values, imaging features and outcomes were collected using a manual chart review. From the 181 consecutive patients initially reviewed, 54 were confirmed with a clinical diagnosis of AIS and anterior circulation LVO. In patients with poor collateral status, the body mass index (BMI) was found to be significantly lower compared to those with good collateral status (26.4 ± 5.6 vs. 31.7 ± 12.3; p = 0.045). BMI of >35 kg/m2 was found to predict the presence of good collateral status. Age was found to be significantly higher (70.5 ± 9.6 vs. 58.9 ± 15.6; p = 0.034) in patients with poor collateral status and M1 strokes associated with older age and BMI.
Collapse
|