1
|
Shourav MMI, Godasi RR, Anisetti B, English SW, Lyle MA, Huang JF, Meschia JF, Lin MP. Association between heart failure and cerebral collateral flow in large vessel occlusive ischemic stroke. J Stroke Cerebrovasc Dis 2024; 33:107999. [PMID: 39243832 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Revised: 08/21/2024] [Accepted: 09/04/2024] [Indexed: 09/09/2024] Open
Abstract
BACKGROUND Cerebral collateral circulation plays a crucial role in determining the extent of brain ischemia in large vessel occlusive (LVO) stroke. Heart failure (HF) is known to cause cerebral hypoperfusion, yet the relationship between HF and robustness of collateral flow has not been well described. METHODS Consecutive patients with middle cerebral and/or internal carotid LVO who underwent endovascular thrombectomy (EVT) between 2012 and 2020 were included. Single-phase head CTA prior to EVT was used to assess collateral status (poor <50 % filling; good ≥50 %). Classification of HF by left ventricular ejection fraction (LVEF) on echocardiogram was used where HF with reduced ejection fraction (HFrEF) had LVEF ≤40 %, HF with preserved EF (HFpEF) had LVEF ≥50 % with evidence of structural heart disease, and no HF had LVEF≥50 % without structural heart disease. Multivariable logistic regression analyses were performed to evaluate the association between HF and poor collaterals. RESULTS We identified 235 patients, mean age was 69 ± 15 years; initial NIHSS was 18 ± 7. Of these, 107 (45.5 %) had HF and 105 (44.7 %) had poor collaterals. Those with HF were likely to have poor collaterals compared to those without HF (56.1 % vs 35.2 %, P = 0.001). There was a dose-dependent relationship between EF and poor collaterals: adjusted odds of poor collaterals were 1.63 and 2.45 in HFpEF and HFrEF, compared to those without HF (trend P = .018). CONCLUSION Patients with HFrEF are more likely to have poor cerebral collaterals. Further study is needed to explore the pathomechanisms. Optimization of HF may improve cerebral collaterals and enhance EVT outcomes.
Collapse
Affiliation(s)
| | - Raja R Godasi
- Department of Neurology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, United States
| | - Bhrugun Anisetti
- Department of Neurology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, United States
| | - Stephen W English
- Department of Neurology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, United States
| | - Melissa A Lyle
- Department of Cardiology, Heart Failure and Transplant, Mayo Clinic, Jacksonville, FL, United States
| | - Josephine F Huang
- Department of Neurology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, United States
| | - James F Meschia
- Department of Neurology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, United States
| | - Michelle P Lin
- Department of Neurology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL 32224, United States.
| |
Collapse
|
2
|
Wang R, Lakhani DA, Balar AB, Sepehri S, Hyson N, Luna LP, Cho A, Hillis AE, Koneru M, Hoseinyazdi M, Lu H, Mei J, Xu R, Nabi M, Mazumdar I, Urrutia VC, Chen K, Huang J, Nael K, Yedavalli VS. The Los Angeles motor scale (LAMS) and ASPECTS score are independently associated with DSA ASITN collateral score. Interv Neuroradiol 2024:15910199241282434. [PMID: 39350749 DOI: 10.1177/15910199241282434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2024] Open
Abstract
BACKGROUND Mechanical thrombectomy (MT) is the treatment standard in eligible patients with acute ischemic stroke (AIS) secondary to large vessel occlusions (LVO). Studies have shown that good collateral status is a strong predictor of MT efficacy, thus making collateral status important to quickly assess. The Los Angeles Motor Scale is a clinically validated tool for identifying LVO in the field. The aim of this study is to investigate whether admission LAMS score is also associated with the American Society of Interventional and Therapeutic Neuroradiology (ASITN) collateral score on digital subtraction angiography (DSA). METHODS We conducted a retrospective multicenter cohort study of consecutive patients presenting with AIS caused by LVO from 9/1/2017 to 10/1/2023 with diagnostically adequate DSA imaging. Demographic, clinical, and imaging data was collected through manual chart review. Both univariate and multivariate analysis were applied to assess associations. A p-value <0.05 was considered significant. RESULTS A total of 308 patients (median age: 68, IQR: 57.5-77) were included in the study. On multivariate logistic regression analysis, we found that lower admission LAMS score (adjusted OR: 0.82, 95% CI: 0.68-0.98, p < 0.05) and higher ASPECTS score (adjusted OR: 1.21, 95% CI: 1.02-1.42, p < 0.05) were independently associated with good DSA ASITN collateral score of 3-4. CONCLUSIONS Admission LAMS and ASPECTS score are both independently associated with DSA ASITN collateral score. This demonstrates the capability of LAMS to act as a surrogate marker of CS in the field.
Collapse
Affiliation(s)
- Richard Wang
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dhairya A Lakhani
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Aneri B Balar
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sadra Sepehri
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nathan Hyson
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Licia P Luna
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andrew Cho
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Argye E Hillis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Manisha Koneru
- Cooper Medical School, Rowan University, Camden, NJ, USA
| | - Meisam Hoseinyazdi
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hanzhang Lu
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Janet Mei
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Risheng Xu
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mehreen Nabi
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ishan Mazumdar
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Victor C Urrutia
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kevin Chen
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Judy Huang
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kambiz Nael
- Department of Radiology, University of California San Francisco, San Francisco, CA, USA
| | - Vivek S Yedavalli
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| |
Collapse
|
3
|
Mei J, Salim HA, Lakhani DA, Balar A, Musmar B, Adeeb N, Hoseinyazdi M, Luna L, Deng F, Hyson NZ, Dmytriw AA, Guenego A, Faizy TD, Heit JJ, Albers GW, Urrutia VC, Llinas R, Marsh EB, Hillis AE, Nael K, Yedavalli VS. Lower admission stroke severity is associated with good collateral status in distal medium vessel occlusion stroke. J Neuroimaging 2024; 34:424-429. [PMID: 38797931 DOI: 10.1111/jon.13208] [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: 04/05/2024] [Revised: 04/30/2024] [Accepted: 05/02/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND AND PURPOSE Distal medium vessel occlusions (DMVOs) are a significant contributor to acute ischemic stroke (AIS), with collateral status (CS) playing a pivotal role in modulating ischemic damage progression. We aimed to explore baseline characteristics associated with CS in AIS-DMVO. METHODS This retrospective analysis of a prospectively collected database enrolled 130 AIS-DMVO patients from two comprehensive stroke centers. Baseline characteristics, including patient demographics, admission National Institutes of Health Stroke Scale (NIHSS) score, admission Los Angeles Motor Scale (LAMS) score, and co-morbidities, including hypertension, hyperlipidemia, diabetes, coronary artery disease, atrial fibrillation, and history of transient ischemic attack or stroke, were collected. The analysis was dichotomized to good CS, reflected by hypoperfusion index ratio (HIR) <.3, versus poor CS, reflected by HIR ≥.3. RESULTS Good CS was observed in 34% of the patients. As to the occluded location, 43.8% occurred in proximal M2, 16.9% in mid M2, 35.4% in more distal middle cerebral artery, and 3.8% in distal anterior cerebral artery. In multivariate logistic analysis, a lower NIHSS score and a lower LAMS score were both independently associated with a good CS (odds ratio [OR]: 0.88, 95% confidence interval [CI]: 0.82-0.95, p < .001 and OR: 0.77, 95% CI: 0.62-0.96, p = .018, respectively). Patients with poor CS were more likely to manifest as moderate to severe stroke (29.1% vs. 4.5%, p < .001), while patients with good CS had a significantly higher chance of having a minor stroke clinically (40.9% vs. 12.8%, p < .001). CONCLUSIONS CS remains an important determinant in the severity of AIS-DMVO. Collateral enhancement strategies may be a worthwhile pursuit in AIS-DMVO patients with more severe initial stroke presentation, which can be swiftly identified by the concise LAMS and serves as a proxy for underlying poor CS.
Collapse
Affiliation(s)
- Janet Mei
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| | - Hamza A Salim
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
- Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, Massachusetts, USA
| | - Dhairya A Lakhani
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| | - Aneri Balar
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| | - Basel Musmar
- Department of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Nimer Adeeb
- Department of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Meisam Hoseinyazdi
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| | - Licia Luna
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| | - Francis Deng
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| | - Nathan Z Hyson
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| | - Adam A Dmytriw
- Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, Massachusetts, USA
- Neurovascular Centre, Departments of Medical Imaging and Neurosurgery, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Adrien Guenego
- Department of Diagnostic and Interventional Neuroradiology, Erasme University Hospital, Brussels, Belgium
| | - Tobias D Faizy
- Department of Radiology, Neuroendovascular Program, University Medical Center Münster, Munster, Germany
| | - Jeremy J Heit
- Department of Interventional Neuroradiology, Stanford Medical Center, Palo Alto, California, USA
| | - Gregory W Albers
- Department of Interventional Neuroradiology, Stanford Medical Center, Palo Alto, California, USA
| | - Victor C Urrutia
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| | - Raf Llinas
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| | - Elisabeth B Marsh
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| | - Argye E Hillis
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| | - Kambiz Nael
- Dept. Radiology & Biomedical Imaging, University of California, San Francisco, California, USA
| | - Vivek S Yedavalli
- Division of Neuroradiology, Department of Radiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA
| |
Collapse
|
4
|
Sablić S, Dolić K, Budimir Mršić D, Čičmir-Vestić M, Matana A, Lovrić Kojundžić S, Marinović Guić M. Communicating Arteries and Leptomeningeal Collaterals: A Synergistic but Independent Effect on Patient Outcomes after Stroke. Neurol Int 2024; 16:620-630. [PMID: 38921950 PMCID: PMC11206870 DOI: 10.3390/neurolint16030046] [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: 04/25/2024] [Revised: 05/29/2024] [Accepted: 05/29/2024] [Indexed: 06/27/2024] Open
Abstract
The collateral system is a compensatory mechanism activated in the acute phase of an ischemic stroke. It increases brain perfusion to the hypoperfused area. Arteries of the Willis' circle supply antegrade blood flow, while pial (leptomeningeal) arteries direct blood via retrograde flow. The aim of our retrospective study was to investigate the relationship between both collateral systems, computed tomography perfusion (CTP) values, and functional outcomes in acute stroke patients. Overall, 158 patients with anterior circulation stroke who underwent mechanical thrombectomy were included in the study. We analyzed the presence of communicating arteries and leptomeningeal arteries on computed tomography angiography. Patients were divided into three groups according to their collateral status. The main outcomes were the rate of functional independence 3 months after stroke (modified Rankin scale score, mRS) and mortality rate. Our study suggests that the collateral status, as indicated by the three groups (unfavorable, intermediate, and favorable), is linked to CT perfusion parameters, potential recuperation ratio, and stroke outcomes. Patients with favorable collateral status exhibited smaller core infarct and penumbra volumes, higher mismatch ratios, better potential for recuperation, and improved functional outcomes compared to patients with unfavorable or intermediate collateral status.
Collapse
Affiliation(s)
- Sara Sablić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia; (S.S.); (K.D.); (D.B.M.); (S.L.K.)
| | - Krešimir Dolić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia; (S.S.); (K.D.); (D.B.M.); (S.L.K.)
- School of Medicine, University of Split, 21000 Split, Croatia
- University Department of Health Studies, University of Split, 21000 Split, Croatia;
| | - Danijela Budimir Mršić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia; (S.S.); (K.D.); (D.B.M.); (S.L.K.)
- School of Medicine, University of Split, 21000 Split, Croatia
| | - Mate Čičmir-Vestić
- Department of Neurology, University Hospital of Split, 21000 Split, Croatia;
| | - Antonela Matana
- University Department of Health Studies, University of Split, 21000 Split, Croatia;
| | - Sanja Lovrić Kojundžić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia; (S.S.); (K.D.); (D.B.M.); (S.L.K.)
- School of Medicine, University of Split, 21000 Split, Croatia
- University Department of Health Studies, University of Split, 21000 Split, Croatia;
| | - Maja Marinović Guić
- Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia; (S.S.); (K.D.); (D.B.M.); (S.L.K.)
- School of Medicine, University of Split, 21000 Split, Croatia
- University Department of Health Studies, University of Split, 21000 Split, Croatia;
| |
Collapse
|
5
|
Lakhani DA, Balar AB, Koneru M, Hoseinyazdi M, Hyson N, Cho A, Greene C, Xu R, Luna L, Caplan J, Dmytriw A, Guenego A, Wintermark M, Gonzalez F, Urrutia V, Huang J, Nael K, Rai AT, Albers GW, Heit JJ, Yedavalli V. Pretreatment CT perfusion collateral parameters correlate with penumbra salvage in middle cerebral artery occlusion. J Neuroimaging 2024; 34:44-49. [PMID: 38057941 DOI: 10.1111/jon.13178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/16/2023] [Accepted: 11/29/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND AND PURPOSE Acute ischemic stroke due to large vessel occlusion (AIS-LVO) is a major cause of functional dependence. Collateral status (CS) is an important determinant of functional outcomes. Pretreatment CT perfusion (CTP) parameters serve as reliable surrogates of CS. Penumbra Salvage Index (PSI) is another parameter predictive of functional outcomes in AIS-LVO. The aim of this study is to assess the relationship of pretreatment CTP parameters with PSI. METHODS In this prospectively collected, retrospectively reviewed multicenter analysis, inclusion criteria were as follows: (1) CT angiography confirmed middle cerebral artery (MCA) M1-segment and proximal M2-segment occlusion from 9/1/2017 to 9/22/2022; (2) diagnostic CTP; and (3) available diagnostic Magnetic resonance Imaging (MRI) diffusion-weighted images. Pearson correlation analysis was performed to assess the association between cerebral blood volume (CBV) index and hypoperfusion intensity ratio (HIR) with PSI. p value ≤.05 was considered statistically significant. RESULTS In total, 131 patients (n = 86, M1 and n = 45, proximal M2 occlusion) met our inclusion criteria. CBV index showed a modest positive correlation with PSI (r = 0.34, p<.001) in patients with proximal MCA occlusion. Similar trends were noted in subgroup analysis of patients with M1 occlusion, and proximal M2 occlusion. Whereas, HIR did not have a strong trend or correlation with PSI. CONCLUSION CBV index correlates with PSI, whereas HIR does not. Future studies are needed to expand our understanding of the adjunct role of CBV index with other similar pretreatment CTP-based markers in clinical evaluation and decision-making in patients with MCA occlusion.
Collapse
Affiliation(s)
- Dhairya A Lakhani
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Aneri B Balar
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Manisha Koneru
- Cooper Medical School, Rowan University, Camden, New Jersey, USA
| | - Meisam Hoseinyazdi
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Nathan Hyson
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Andrew Cho
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Cynthia Greene
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Risheng Xu
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA
| | - Licia Luna
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Justin Caplan
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA
| | - Adam Dmytriw
- Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Adrien Guenego
- Department of Radiology, Université Libre De Bruxelles Hospital Erasme, Anderlecht, Belgium
| | - Max Wintermark
- Department of Radiology, University of Texas, MD Anderson Center, Houston, Texas, USA
| | - Fernando Gonzalez
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA
| | - Victor Urrutia
- Department of Neurology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Judy Huang
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kambiz Nael
- Division of Neuroradiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Ansaar T Rai
- Department of Radiology, West Virginia University, Morgantown, West Virginia, USA
| | - Gregory W Albers
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
| | - Jeremy J Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
| | - Vivek Yedavalli
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| |
Collapse
|
6
|
Wang R, Huang J, Mohseni A, Hoseinyazdi M, Kotha A, Hamam O, Gudenkauf J, Heo HY, Nabi M, Huang J, Gonzalez F, Ansari G, Radmard M, Luna L, Caplan J, Xu R, Yedavalli V. Predictors of mTICI 2c/3 over 2b in patients successfully recanalized with mechanical thrombectomy. Ann Clin Transl Neurol 2024; 11:89-95. [PMID: 37930267 PMCID: PMC10791022 DOI: 10.1002/acn3.51935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 09/21/2023] [Accepted: 10/20/2023] [Indexed: 11/07/2023] Open
Abstract
OBJECTIVE For patients presenting with acute ischemic stroke (AIS) caused by large vessel occlusions (LVO), mechanical thrombectomy (MT) is the treatment standard of care in eligible patients. Modified Thrombolysis in Cerebral Infarction (mTICI) grades of 2b, 2c, and 3 are all considered successful reperfusion; however, recent studies have shown achieving mTICI 2c/3 leads to better outcomes than mTICI 2b. This study aims to investigate whether any baseline preprocedural or periprocedural parameters are predictive of achieving mTICI 2c/3 in successfully recanalized LVO patients. METHODS We conducted a retrospective multicenter cohort study of consecutive patients presenting with AIS caused by a LVO from 1 January 2017 to 1 January 2023. Baseline and procedural data were collected through chart review. Univariate and multivariate analysis were applied to determine significant predictors of mTICI 2c/3. RESULTS A total of 216 patients were included in the study, with 159 (73.6%) achieving mTICI 2c/3 recanalization and 57 (26.4%) achieving mTICI 2b recanalization. We found that a higher groin puncture to first pass time (OR = 0.976, 95%CI: 0.960-0.992, p = 0.004), a higher first pass to recanalization time (OR = 0.985, 95%CI: 0.972-0.998, p = 0.029), a higher admission NIHSS (OR = 0.949, 95%CI: 0.904-0.995, p = 0.031), and a lower age (OR = 1.032, 95%CI: 1.01-1.055, p = 0.005) were associated with a decreased probability of achieving mTICI 2c/3. INTERPRETATION A lower groin puncture to first pass time, a lower first pass to recanalization time, a lower admission NIHSS, and a higher age were independent predictors of mTICI 2c/3 recanalization.
Collapse
Affiliation(s)
- Richard Wang
- Department of Radiology and Radiological Sciences, Division of NeuroradiologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Jing Huang
- School of NursingJohns Hopkins UniversityBaltimoreMarylandUSA
| | - Alireza Mohseni
- Department of Radiology and Radiological Sciences, Division of NeuroradiologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Meisam Hoseinyazdi
- Department of Radiology and Radiological Sciences, Division of NeuroradiologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Apoorva Kotha
- Department of Radiology and Radiological Sciences, Division of NeuroradiologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Omar Hamam
- Department of Radiology and Radiological Sciences, Division of NeuroradiologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Julie Gudenkauf
- Department of Radiology and Radiological Sciences, Division of NeuroradiologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Hye Young Heo
- Department of Radiology and Radiological Sciences, Division of NeuroradiologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Mehreen Nabi
- Department of Radiology and Radiological Sciences, Division of NeuroradiologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Judy Huang
- Department of NeurosurgeryJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Fernando Gonzalez
- Department of NeurosurgeryJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Golnoosh Ansari
- Department of Radiology and Radiological Sciences, Division of NeuroradiologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Mahla Radmard
- Department of Radiology and Radiological Sciences, Division of NeuroradiologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Licia Luna
- Department of Radiology and Radiological Sciences, Division of NeuroradiologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Justin Caplan
- Department of NeurosurgeryJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Risheng Xu
- Department of NeurosurgeryJohns Hopkins School of MedicineBaltimoreMarylandUSA
| | - Vivek Yedavalli
- Department of Radiology and Radiological Sciences, Division of NeuroradiologyJohns Hopkins School of MedicineBaltimoreMarylandUSA
| |
Collapse
|