Unruptured intracranial aneurysm growth trajectory: occurrence and rate of enlargement in 520 longitudinally followed cases

2020 ◽  
Vol 132 (4) ◽  
pp. 1077-1087 ◽  
Author(s):  
Aichi Chien ◽  
Rashida A. Callender ◽  
Hajime Yokota ◽  
Noriko Salamon ◽  
Geoffrey P. Colby ◽  
...  
Keyword(s):  
Risk Factors ◽  
Growth Rate ◽  
Medical Center ◽  
Growth Trajectory ◽  
Patient Specific ◽  
Limited Information ◽  
Initial Size ◽  
Unruptured Intracranial Aneurysms ◽  
Aneurysm Growth

OBJECTIVEAs imaging technology has improved, more unruptured intracranial aneurysms (UIAs) are detected incidentally. However, there is limited information regarding how UIAs change over time to provide stratified, patient-specific UIA follow-up management. The authors sought to enrich understanding of the natural history of UIAs and identify basic UIA growth trajectories, that is, the speed at which various UIAs increase in size.METHODSFrom January 2005 to December 2015, 382 patients diagnosed with UIAs (n = 520) were followed up at UCLA Medical Center through serial imaging. UIA characteristics and patient-specific variables were studied to identify risk factors associated with aneurysm growth and create a predicted aneurysm trajectory (PAT) model to differentiate aneurysm growth behavior.RESULTSThe PAT model indicated that smoking and hypothyroidism had a large effect on the growth rate of large UIAs (≥ 7 mm), while UIAs < 7 mm were less influenced by smoking and hypothyroidism. Analysis of risk factors related to growth showed that initial size and multiplicity were significant factors related to aneurysm growth and were consistent across different definitions of growth. A 1.09-fold increase in risk of growth was found for every 1-mm increase in initial size (95% CI 1.04–1.15; p = 0.001). Aneurysms in patients with multiple aneurysms were 2.43-fold more likely to grow than those in patients with single aneurysms (95% CI 1.36–4.35; p = 0.003). The growth rate (speed) for large UIAs (≥ 7 mm; 0.085 mm/month) was significantly faster than that for UIAs < 3 mm (0.030 mm/month) and for males than for females (0.089 and 0.045 mm/month, respectively; p = 0.048).CONCLUSIONSAnalyzing longitudinal UIA data as continuous data points can be useful to study the risk of growth and predict the aneurysm growth trajectory. Individual patient characteristics (demographics, behavior, medical history) may have a significant effect on the speed of UIA growth, and predictive models such as PAT may help optimize follow-up frequency for UIA management.

Abstract 200: Risk Factors Positively Associated with Annual Growth Rate of Brain Aneurysms

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Aichi Chien ◽  
Michelle Hildebrandt ◽  
Rashida Callender ◽  
Yuanqing Ye
Keyword(s):  
Risk Factors ◽  
Growth Rate ◽  
Family History ◽  
Positive Family History ◽  
High Growth ◽  
Aneurysm Rupture ◽  
Patient Specific ◽  
Annual Growth Rate ◽  
Aneurysm Growth

Introduction: Previous studies have shown that unruptured intracranial aneurysm (UIA) growth and rupture are strongly associated with each other, with an increasing number of aneurysms followed clinically, especially UIA smaller than 7 mm. Hypothesis: Patient-specific and aneurysm-specific clinical and demographic features can predict growth and growth rates of UIA. Methods: We studied a cohort of 293 individuals diagnosed with a total of 409 intracranial aneurysms followed for an average of 27.4 months. Associations with aneurysm growth and growth rate were identified for both patient- and aneurysm-specific variables. Growth was defined as a size increase greater than 0.6 mm, with growth rate (mm/year) determined from the change in size of the aneurysm between the first and last measurement. Results: Mean initial size at diagnosis was significantly associated with risk of growth (OR: 1.09, 95% CI: 1.01-1.18, p=0.036), as was diagnosis of multiple aneurysms (OR: 2.01, 95% CI: 1.00-4.04, p=0.048) and having a positive family history (OR: 4.25, 95% CI: 1.18-15.3, p=0.041). Diagnosis of coronary artery disease (CAD) (p<0.001), diabetes (p=0.041), and gender (p=0.014) were significant for growth rate. Differences were observed for aneurysms located in different vessels, with an increased occurrence of growth at M-Bifurcation (p=0.015 vs. other MCA sites) and a high growth rate for those located in the BA trunk (p=0.0033 vs. other VABA sites). Conclusions: This analysis takes advantage of a large longitudinal cohort with multiple follow-up measurements to provide further insight regarding the characteristics of UIA growth behavior. While our data further confirm that aneurysm rupture and growth share a similar set of risk factors (size, multiplicity and family history), we additionally that found patients with CAD or diabetes had a higher aneurysm growth rate, and therefore might require more frequent follow up.

Abstract WMP27: PAT Model Accurately Predicts Aneurysm Enlargement in 16 Growing Aneurysm Cases

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Aichi Chien ◽  
Michelle Hildebrandt ◽  
Geoffrey Colby ◽  
Victor Chang ◽  
Gary Duckwiler ◽  
...  
Keyword(s):  
Medical Records ◽  
Intracranial Aneurysms ◽  
Medical Center ◽  
Patient Characteristics ◽  
Percentage Error ◽  
Limited Information ◽  
Unruptured Intracranial Aneurysms ◽  
History Of ◽  
And Behavior

Objective: Imaging technology for unruptured intracranial aneurysms (UIA) has improved detection of such aneurysms. However, there is limited information on UIA change over time, and how to predict the rate of enlargement. The objective of this study was to quantify the accuracy of the Predicted Aneurysm Trajectory (PAT) model recently developed by Chien et al. (J Neurosurgery. 2019; Mar 1:1-11). Methods: Patients diagnosed with UIA were prospectively enrolled at the UCLA Medical Center, and followed through serial imaging. 16 UIA cases exhibiting growth across multiple follow-ups were included in this study. Prior images and medical records were collected. Characteristics relevant to the PAT model (mean ± stdev), including initial UIA size (7.26 ± 6.38), patient age (67.4 ± 9.48 yrs.), sex (4 male), history of smoking (n=5), hypothyroidism (n=4), and follow-up duration (36.5 ± 50.0 mos.) were used to predict UIA size at each follow-up. Predicted and actual UIA sizes at follow-up were compared using symmetric mean absolute percentage error (SMAPE) with percentage error ranging from 0-100%. Results: The 16 UIA cases were split by initial UIA size. For UIA smaller than 7 mm (10 cases, 23 follow-up), SMAPE = 11.13%. For UIA greater than 7 mm (6 cases, 15 follow-up), SMAPE = 8.07%. For all UIA cases (16 cases, 38 follow-up), SMAPE = 9.92%. Conclusions: The PAT model predicts the rate of enlargement for UIA, as opposed to whether or not UIA will grow. With this new sample of data, we found the predicted UIA size at follow-up to be quite accurate, deviating in the range of 10% from the actual, measured size. Patient characteristics such as the demographics and behavior included in the model influence the growth of UIA, which allows prediction of growth to optimize treatment and management in future cases.

Hemodynamic changes after intracranial aneurysm growth

2021 ◽  
pp. 1-7
Author(s):  
Bart M. W. Cornelissen ◽  
Eva L. Leemans ◽  
Cornelis H. Slump ◽  
René van den Berg ◽  
Henk A. Marquering ◽  
...  
Keyword(s):  
Shear Stress ◽  
Wall Shear Stress ◽  
Patient Specific ◽  
Hemodynamic Changes ◽  
Large Variability ◽  
Unruptured Intracranial Aneurysms ◽  
Hemodynamic Characteristics ◽  
Aneurysm Growth ◽  
Wall Shear

OBJECTIVE For accurate risk assessment of unruptured intracranial aneurysms, it is important to understand the underlying mechanisms that lead to rupture. It is known that hemodynamic anomalies contribute to aneurysm growth and rupture, and that growing aneurysms carry higher rupture risks. However, it is unknown how growth affects hemodynamic characteristics. In this study, the authors assessed how hemodynamic characteristics change over the course of aneurysm growth. METHODS The authors included patients with observed aneurysm growth on longitudinal MRA in the period between 2012 and 2016. Patient-specific vascular models were created from baseline and follow-up images. Subsequently, intraaneurysmal hemodynamic characteristics were computed using computational fluid dynamics. The authors computed the normalized wall shear stress, oscillatory shear index, and low shear area to quantify hemodynamic characteristics. Differences between baseline and follow-up measurements were analyzed using paired t-tests. RESULTS Twenty-five patients with a total of 31 aneurysms were included. The aneurysm volume increased by a median (IQR) of 26 (9–39) mm3 after a mean follow-up period of 4 (range 0.4–10.9) years. The median wall shear stress decreased significantly after growth. Other hemodynamic parameters did not change significantly, although large individual changes with large variability were observed. CONCLUSIONS Hemodynamic characteristics change considerably after aneurysm growth. On average, wall shear stress values decrease after growth, but there is a large variability in hemodynamic changes between aneurysms.

Incidence and risk factors for the growth of unruptured cerebral aneurysms: observation using serial computerized tomography angiography

2004 ◽  
Vol 101 (6) ◽  
pp. 908-914 ◽  
Author(s):  
Shunji Matsubara ◽  
Hiromu Hadeishi ◽  
Akifumi Suzuki ◽  
Nobuyuki Yasui ◽  
Hiromi Nishimura
Keyword(s):  
Risk Factors ◽  
Computerized Tomography ◽  
Cerebral Artery ◽  
Maximum Diameter ◽  
Content Type ◽  
Computerized Tomography Angiography ◽  
Unruptured Intracranial Aneurysms ◽  
Aneurysm Growth ◽  
Fine Print

Object. The goal of this study was to examine the growth of unruptured intracranial aneurysms with the focus on the risk factors and incidence of these lesions. Methods. One hundred sixty-six untreated cerebral saccular aneurysms were analyzed in 140 patients. The age of the patients ranged from 29 to 82 years (mean 62.8 years), the female/male ratio was 94:46, and the mean follow-up period was 17.7 months. Aneurysms were located at the internal carotid artery (ICA) in 68 patients, the middle cerebral artery (MCA) in 43, the anterior cerebral artery in 38, the basilar artery (BA) in 13, and the vertebral artery in four patients. The maximum diameter of the lesions ranged from 2 to 20 mm (mean 4.1 mm). All patients were examined using serial computerized tomography angiography to evaluate signs of aneurysm growth. Although growth was identified in 10 aneurysms (nine patients [6.4%]), no bleeding occurred. Growth-related changes were significantly associated with the size of the aneurysm and occurred in three (2.4%) of 125 aneurysms measuring 2 to 4 mm, three (9.1%) of 33 lesions measuring 5 to 9 mm, and four (50%) of eight lesions measuring 10 to 20 mm. These changes were more frequently found in aneurysms located at the BA bifurcation (two [40%] of five lesions) and the ICA (six [8.8%] of 68 lesions) than in those located at the MCA (zero of 43 lesions, p < 0.05). The 1-, 2-, and 3-year cumulative growth rates calculated using the Kaplan—Meier method were 2.5, 8, and 17.6%, respectively. Conclusions. A diameter of at least 10 mm and a location at the BA bifurcation or the ICA were significant risk factors for aneurysm growth. The incidence of growth was 2.5% in the 1st year and this risk increased yearly. Computerized tomography angiography is useful for follow up of patients with aneurysms because it allows the detection of even subtle morphological changes.

Enlargement of small, asymptomatic, unruptured intracranial aneurysms in patients with no history of subarachnoid hemorrhage: the different factors related to the growth of single and multiple aneurysms

2013 ◽  
Vol 119 (1) ◽  
pp. 190-197 ◽  
Author(s):  
Aichi Chien ◽  
Feng Liang ◽  
James Sayre ◽  
Noriko Salamon ◽  
Pablo Villablanca ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intracranial Aneurysms ◽  
Posterior Circulation ◽  
Unruptured Aneurysms ◽  
Multiple Aneurysms ◽  
Unruptured Intracranial Aneurysms ◽  
History Of ◽  
Aneurysm Growth ◽  
Small Aneurysms

Object This study was performed to investigate the risk factors related to the growth of small, asymptomatic, unruptured aneurysms in patients with no history of subarachnoid hemorrhage (SAH). Methods Between January 2005 and December 2010, a total of 508 patients in whom unruptured intracranial aneurysms were diagnosed at the University of California, Los Angeles medical center did not receive treatment to prevent rupture. Of these, 235 patients with no history of SAH who had asymptomatic, small, unruptured aneurysms (< 7 mm) were monitored with 3D CT angiography images. Follow-up images of the lesions were used to measure aneurysm size changes. Patient medical history, family history of SAH, aneurysm size, and location were studied to find the risk factors associated with small aneurysm growth. Results A total of 319 small aneurysms were included, with follow-up durations of 29.2 ± 20.6 months. Forty-two aneurysms increased in size during the follow-up; 5 aneurysms grew to become ≥ 7 mm within 38.2 ± 18.3 months. A trend of higher growth rates was found in single aneurysms than in multiple aneurysms (p = 0.07). A history of stroke was the only factor associated with single aneurysm growth (p = 0.03). The number of aneurysms (p = 0.011), number of aneurysms located within the posterior circulation (p = 0.030), and patient history of transient ischemic attack (p = 0.044) were related to multiple aneurysm growth. Conclusions Multiple small aneurysms are more likely to grow, and multiple aneurysms located in the posterior circulation may require additional attention. Although single aneurysms have a lower risk of growth, a trend of higher growth rates in single aneurysms was found.

Cavernous sinus aneurysms: risk of growth over time and risk factors

2020 ◽  
Vol 132 (1) ◽  
pp. 22-26 ◽  
Author(s):  
Giovanni Vercelli ◽  
Thomas J. Sorenson ◽  
Ahmad Z. Aljobeh ◽  
Roanna Vine ◽  
Giuseppe Lanzino
Keyword(s):  
Risk Factors ◽  
Internal Carotid ◽  
Limited Information ◽  
Benign Lesions ◽  
Risk Of Rupture ◽  
History Of ◽  
Aneurysm Growth ◽  
Over Time ◽  
New Onset

OBJECTIVECavernous internal carotid artery (ICA) aneurysms are frequently diagnosed incidentally and the benign natural history of these lesions is well known, but there is limited information assessing the risk of growth in untreated patients. The authors sought to assess and analyze risk factors in patients with cavernous ICA aneurysms and compare them to those of patients with intracranial berry aneurysms in other locations.METHODSData from consecutive patients who were diagnosed with a cavernous ICA aneurysm were retrospectively reviewed. The authors evaluated patients for the incidence of cavernous ICA aneurysm growth and rupture. In addition, the authors analyzed risk factors for cavernous ICA aneurysm growth and compared them to risk factors in a population of patients diagnosed with intracranial berry aneurysms in locations other than the cavernous ICA during the same period.RESULTSIn 194 patients with 208 cavernous ICA aneurysms, the authors found a high risk of aneurysm growth (19.2% per patient-year) in patients with large/giant aneurysms. Size was significantly associated with higher risk of growth. Compared to patients with intracranial berry aneurysms in other locations, patients with cavernous ICA aneurysms were significantly more likely to be female and have a lower incidence of hypertension.CONCLUSIONSAneurysms of the cavernous ICA are benign lesions with a negligible risk of rupture but a definite risk of growth. Aneurysm size was found to be associated with aneurysm growth, which can be associated with new onset of symptoms. Serial follow-up imaging of a cavernous ICA aneurysm might be indicated to monitor for asymptomatic growth, especially in patients with larger lesions.

scholarly journals Growth and rupture of unruptured intracranial aneurysms

2019 ◽  
Vol 131 (3) ◽  
pp. 843-851 ◽  
Author(s):  
Seppo Juvela
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Cigarette Smoking ◽  
Intracranial Aneurysms ◽  
Aneurysm Rupture ◽  
Ruptured Aneurysms ◽  
Unruptured Intracranial Aneurysms ◽  
Aneurysm Growth ◽  
Independent Risk Factors

OBJECTIVERisk factors for growth of unruptured intracranial aneurysms (UIAs) during a lifelong follow-up in relation to subsequent rupture are unknown. The author’s aim in this study was to investigate whether risk factors for UIA growth are different for those that lead to rupture than for those that do not.METHODSThe series consists of 87 patients with 111 UIAs diagnosed before 1979, when UIAs were not treated. A total follow-up time of the patients was 2648 person-years for all-cause death and 2182 years when patients were monitored until the first rupture, death due to unrelated causes, or the last contact (annual incidence of aneurysm rupture, 1.2%). The follow-up time between aneurysm measurements was 1669 person-years. Risk factors for UIA growth were analyzed in relation to subsequent rupture.RESULTSThe median follow-up time between aneurysm measurements was 21.7 years (range 1.2–51.0 years). In 40 of the 87 patients (46%), the UIAs increased in size ≥ 1 mm, and in 31 patients (36%) ≥ 3 mm. All ruptured aneurysms in 27 patients grew during the follow-up of 324 person-years (mean growth rates 6.1 mm, 0.92 mm/year, and 37%/year), while growth without rupture occurred in 13 patients during 302 follow-up years (3.9 mm, 0.18 mm/year, and 4%/year) and no growth occurred in 47 patients during 1043 follow-up years. None of the 60 patients without aneurysm rupture experienced one during the subsequent 639 follow-up years after the last aneurysm measurement. Independent risk factors for UIA growth (≥ 1 mm) in all patients were female sex (adjusted OR 3.08, 95% CI 1.04–9.13) and smoking throughout the follow-up time (adjusted OR 3.16, 95% CI 1.10–9.10), while only smoking (adjusted OR 4.36, 95% CI 1.27–14.99) was associated with growth resulting in aneurysm rupture. Smoking was the only independent risk factor for UIA growth ≥ 3 mm resulting in aneurysm rupture (adjusted OR 4.03, 95% CI 1.08–15.07). Cigarette smoking at baseline predicted subsequent UIA growth, while smoking at the end of the follow-up was associated with growth resulting in aneurysm rupture.CONCLUSIONSCigarette smoking is an important risk factor for UIA growth, particularly for growth resulting in rupture. Cessation of smoking may reduce the risk of devastating aneurysm growth.

scholarly journals Risk Factors for Failure in Conservatively Treated Osteoporotic Vertebral Fractures: A Systematic Review

2021 ◽  
pp. 219256822098227
Author(s):  
Max J. Scheyerer ◽  
Ulrich J. A. Spiegl ◽  
Sebastian Grueninger ◽  
Frank Hartmann ◽  
Sebastian Katscher ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Treatment Failure ◽  
Patient Specific ◽  
Mineral Density ◽  
Radiographic Findings ◽  
Specific Risk ◽  
Fracture Development ◽  
Predict Treatment Failure

Study Design: Systematic review. Objectives: Osteoporosis is one of the most common diseases of the elderly, whereby vertebral body fractures are in many cases the first manifestation. Even today, the consequences for patients are underestimated. Therefore, early identification of therapy failures is essential. In this context, the aim of the present systematic review was to evaluate the current literature with respect to clinical and radiographic findings that might predict treatment failure. Methods: We conducted a comprehensive, systematic review of the literature according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) checklist and algorithm. Results: After the literature search, 724 potentially eligible investigations were identified. In total, 24 studies with 3044 participants and a mean follow-up of 11 months (range 6-27.5 months) were included. Patient-specific risk factors were age >73 years, bone mineral density with a t-score <−2.95, BMI >23 and a modified frailty index >2.5. The following radiological and fracture-specific risk factors could be identified: involvement of the posterior wall, initial height loss, midportion type fracture, development of an intravertebral cleft, fracture at the thoracolumbar junction, fracture involvement of both endplates, different morphological types of fractures, and specific MRI findings. Further, a correlation between sagittal spinal imbalance and treatment failure could be demonstrated. Conclusion: In conclusion, this systematic review identified various factors that predict treatment failure in conservatively treated osteoporotic fractures. In these cases, additional treatment options and surgical treatment strategies should be considered in addition to follow-up examinations.

Maternal age at birth and daughter’s fecundability

2021 ◽  
Author(s):  
Olga Basso ◽  
Sydney K Willis ◽  
Elizabeth E Hatch ◽  
Ellen M Mikkelsen ◽  
Kenneth J Rothman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Maternal Age ◽  
Limited Information ◽  
Loss To Follow Up ◽  
Older Mothers ◽  
Registration Number ◽  
The Usa ◽  
Competing Interest

Abstract STUDY QUESTION Do daughters of older mothers have lower fecundability? SUMMARY ANSWER In this cohort study of North American pregnancy planners, there was virtually no association between maternal age ≥35 years and daughters’ fecundability. WHAT IS KNOWN ALREADY Despite suggestive evidence that daughters of older mothers may have lower fertility, only three retrospective studies have examined the association between maternal age and daughter’s fecundability. STUDY DESIGN, SIZE, DURATION Prospective cohort study of 6689 pregnancy planners enrolled between March 2016 and January 2020. PARTICIPANTS/MATERIALS, SETTING, METHODS Pregnancy Study Online (PRESTO) is an ongoing pre-conception cohort study of pregnancy planners (age, 21-45 years) from the USA and Canada. We estimated fecundability ratios (FR) for maternal age at the participant’s birth using multivariable proportional probabilities regression models. MAIN RESULTS AND THE ROLE OF CHANCE Daughters of mothers ≥30 years were less likely to have previous pregnancies (or pregnancy attempts) or risk factors for infertility, although they were more likely to report that their mother had experienced problems conceiving. The proportion of participants with prior unplanned pregnancies, a birth before age 21, ≥3 cycles of attempt at study entry or no follow-up was greater among daughters of mothers &lt;25 years. Compared with maternal age 25–29 years, FRs (95% CI) for maternal age &lt;20, 20–24, 30–34, and ≥35 were 0.72 (0.61, 0.84), 0.92 (0.85, 1.00), 1.08 (1.00, 1.17), and 1.00 (0.89, 1.12), respectively. LIMITATIONS, REASONS FOR CAUTION Although the examined covariates did not meaningfully affect the associations, we had limited information on the participants’ mother. Differences by maternal age in reproductive history, infertility risk factors and loss to follow-up suggest that selection bias may partly explain our results. WIDER IMPLICATIONS OF THE FINDINGS Our finding that maternal age 35 years or older was not associated with daughter’s fecundability is reassuring, considering the trend towards delayed childbirth. However, having been born to a young mother may be a marker of low fecundability among pregnancy planners. STUDY FUNDING/COMPETING INTEREST(S) PRESTO was funded by NICHD Grants (R21-HD072326 and R01-HD086742) and has received in-kind donations from Swiss Precision Diagnostics, FertilityFriend.com, Kindara.com, and Sandstone Diagnostics. Dr Wise is a fibroid consultant for AbbVie, Inc. TRIAL REGISTRATION NUMBER n/a

Abstract W P21: Should We Perform Thrombectomy In Patients With Wake-up Strokes? A Case Series Using Ct Perfusion For Patient Selection

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Gabriel Vidal ◽  
James Milburn ◽  
Garrett Bennett ◽  
Vivek Sabharwal ◽  
Mustafa Al Hasan
Keyword(s):  
Risk Factors ◽  
Ct Perfusion ◽  
Medical Center ◽  
Case Series ◽  
Stroke Severity ◽  
Vessel Occlusion ◽  
Single Center Experience ◽  
Aspiration Technique ◽  
Group 2

Background and objectives: Approximately 25% of patients who present with acute ischemic stroke are wake-up strokes. These patients are often not treated with IV thrombolytics because of unclear onset of symptoms. Little data exists on endovascular therapy as acute treatment for this population, particularly with an aspiration technique. The objective of this study is to compare outcomes of patients who presented with wake-up strokes due to large vessel occlusion treated with neuroendovascular procedures versus those who received conservative treatment, based on a 2-year (2012-2013), single center experience at Ochsner Medical Center in New Orleans, LA. Method: 24 consecutive patients, who presented with wake-up strokes, were outside the IV tPA window, and had both CTA confirmed intracranial LVO and CT-perfusion data upon arrival to our institution were retrospectively studied. Patients with hemorrhages, tandem lesions, or high-grade carotid stenosis were excluded from this analysis. Decision to perform endovascular treatment was made by the vascular neurologist and neuro-interventionalist based on stroke severity and CTA/perfusion data. Patients in group 1 (n = 8) underwent endovascular revascularization procedures; patients in group 2 (n = 16) were treated conservatively (medical management alone). Presentation NIHSS, risk factors, mortality, discharge NIHSS, discharge mRS, and follow up mRS were compared. Results: There were no statistical differences in patient population regarding age, gender, and risk factors. There was no statistical difference in their initial NIHSS (16.8 vs. 21.8, p=0.05162), or mortality (0% vs 21%, pr=0.262). The two groups were statistically different in their discharge NIHSS (7.25 vs 21.81, p<0.00045), discharge mRS (2 vs 5, p<0.00001), clinic follow up mRS (1.37 vs 4.94, p<0.00001), and good outcome at discharge (mRS 0-2)(75% vs 0%, pr<0.0002). Conclusion: Patients with wake-up strokes, LVO, and favorable CT-perfusion data who underwent neuroendovascular reperfusion treatment had significantly better outcomes in our population, despite similar stroke severity at presentation. This suggests that with careful selection, neuroendovascular therapy for wake-up strokes may lead to improved outcomes.

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