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Khera S, Koshy AN, Tang GHL, Moreno P, Mehran R, Dangas GD, Bronster D, Kini AS, Fara M, Sharma SK. Prevention and Management of Stroke After Transcatheter Aortic Valve Replacement: The Mount Sinai Stroke Initiative. J Am Heart Assoc 2023; 12:e028182. [PMID: 36752233 PMCID: PMC10111471 DOI: 10.1161/jaha.122.028182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Affiliation(s)
- Sahil Khera
- Division of Interventional Cardiology Mount Sinai Hospital New York NY
| | - Anoop N Koshy
- Division of Interventional Cardiology Mount Sinai Hospital New York NY
| | - Gilbert H L Tang
- Department of Cardiovascular Surgery Mount Sinai Hospital New York NY
| | - Pedro Moreno
- Division of Interventional Cardiology Mount Sinai Hospital New York NY
| | - Roxana Mehran
- Division of Interventional Cardiology Mount Sinai Hospital New York NY
| | - George D Dangas
- Division of Interventional Cardiology Mount Sinai Hospital New York NY
| | | | - Annapoorna S Kini
- Division of Interventional Cardiology Mount Sinai Hospital New York NY
| | - Michael Fara
- Division of Neurology Mount Sinai Hospital New York NY
| | - Samin K Sharma
- Division of Interventional Cardiology Mount Sinai Hospital New York NY
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Schwamm LH, Kamel H, Granger CB, Piccini JP, Katz JM, Sethi PP, Sidorov EV, Kasner SE, Silverman SB, Merriam TT, Franco N, Ziegler PD, Bernstein RA, Abi-Samra F, Acosta I, Al Balushi A, Al-Awwad A, Alimohammad R, Alkahalifah M, Allred J, Alsorogi M, Arias V, Aroor S, Arora R, Asdaghi N, Asi K, Assar M, Badhwar N, Banchs J, Bansal S, Barrett C, Beaver B, Beldner S, Belt G, Bernabei M, Bernard M, Bhatt N, Black J, Bledsoe D, Bonaguidi H, Bonyak K, Boyd C, Cajavilca C, Caprio F, Carter J, Chancellor B, Chang C, Chaudhary G, Chaudhary S, Cheung P, Ching M, Chinitz L, Chiu D, Chokhawala H, Choudhuri I, Choudry S, Clayton S, Cross J, Cucchiara B, Culpepper A, Daniels J, Dash S, Del Brutto V, Deline C, Delpirou Nouh C, Deo R, Dhamoon M, Dillon G, Donsky A, Doshi A, Downey A, Dukkipati S, Epstein L, Etherton M, Fara M, Fayad PB, Felberg R, Flaster M, Frankel D, Furer S, Gadhia R, Gadient P, Garabelli P, Gibson D, Glotzer T, Goltz D, Gordon D, Graner S, Graybeal D, Grimes MR, Guerrero W, Hanna J, Hao Q, Hasabnis S, Hasan R, Heist EK, Horowitz D, Hourihane JM, Hussein H, Ishida K, Ismail H, Jadonath R, Jamal S, Jamnadas P, Jia J, Johnson M, Jung R, Kalafut M, Kalia J, Kandel A, Kasner S, Katz L, Katz J, Kaur G, Kearney M, Khatib S, Kim S, Kim C, Kipta J, Koch S, Koruth J, Kreger H, Krueger K, Kurian C, LaFranchise E, Lambrakos L, Langan MN, Lee R, Libman R, Lillemoe K, Logan W, Lord A, Lubitz S, Luciano J, Lynch J, Maccaro PC, Magadan A, Magun R, Malik M, Malik A, Manda S, Marulanda-Londono E, Matos Diaz I, Mattera B, McCall-Brown A, Mcclelland N, Meisel K, Memon Z, Mendelson S, Mendoza I, Merriam T, Messe S, Miles WM, Miller M, Mir O, Mitrani R, Morin D, Morris K, Moussavi M, Mowla A, Moye S, Mullen M, Mullins S, Neisen K, Nguyen C, Niazi I, Olson N, Olsovsky G, Ortiz G, Ostrander M, Pakala A, Parker B, Parker M, Passman R, Patel A, Patel A, Pickett RA(D, Polin G, Radoslovich G, Ramano J, Rami T, Ramirez D, Rasmussen J, Ray B, Reddy V, Reddy R, Reeves R, Regenhardt R, Rempe D, Rogers P, Rogers J, Rowe S, Rowley C, Ruff I, Sackett M, Sajjad R, Salem R, Saltzman M, Santangeli P, Saucedo S, Sawyer R, Schaller R, Seeger S, Sethi P, Shang T, Sharma J, Sharma R, Sheinart K, Shukla G, Shultz J, Sidorov E, Silverman S, Simonson J, Singh D, Skalabrin E, Sloane K, Smith M, Smith W, Soik D, Stavrakis S, Stein L, Steinberg JS, Sur N, Switzer D, Talpur N, Tansy A, Tempro K, Thavapalan V, Thomas A, Thomas K, Torres J, Torres L, Tuhrim S, Uddin P, Vidal G, Viswanathan A, Volpi J, Ward K, Weinberger J, Whang W, Wilder M, Willner J, Wright P, Yuan Q, Zhang C, Zhu D, Zide K, Zimmerman J, Zweifler R. Predictors of Atrial Fibrillation in Patients With Stroke Attributed to Large- or Small-Vessel Disease: A Prespecified Secondary Analysis of the STROKE AF Randomized Clinical Trial. JAMA Neurol 2023; 80:99-103. [PMID: 36374508 PMCID: PMC9664367 DOI: 10.1001/jamaneurol.2022.4038] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Importance The Stroke of Known Cause and Underlying Atrial Fibrillation (STROKE AF) trial found that approximately 1 in 8 patients with recent ischemic stroke attributed to large- or small-vessel disease had poststroke atrial fibrillation (AF) detected by an insertable cardiac monitor (ICM) at 12 months. Identifying predictors of AF could be useful when considering an ICM in routine poststroke clinical care. Objective To determine the association between commonly assessed risk factors and poststroke detection of new AF in the STROKE AF cohort monitored by ICM. Design, Setting, and Participants This was a prespecified analysis of a randomized (1:1) clinical trial that enrolled patients between April 1, 2016, and July 12, 2019, with primary follow-up through 2020 and mean (SD) duration of 11.0 (3.0) months. Eligible patients were selected from 33 clinical research sites in the US. Patients had an index stroke attributed to large- or small-vessel disease and were 60 years or older or aged 50 to 59 years with at least 1 additional stroke risk factor. A total of 496 patients were enrolled, and 492 were randomly assigned to study groups (3 did not meet inclusion criteria, and 1 withdrew consent). Patients in the ICM group had the index stroke within 10 days before insertion. Data were analyzed from October 8, 2021, to January 28, 2022. Interventions ICM monitoring vs site-specific usual care (short-duration external cardiac monitoring). Main Outcomes and Measures The ICM device automatically detects AF episodes 2 or more minutes in length; episodes were adjudicated by an expert committee. Cox regression multivariable modeling included all parameters identified in the univariate analysis having P values <.10. AF detection rates were calculated using Kaplan-Meier survival estimates. Results The analysis included the 242 participants randomly assigned to the ICM group in the STROKE AF study. Among 242 patients monitored with ICM, 27 developed AF (mean [SD] age, 66.6 [9.3] years; 144 men [60.0%]; 96 [40.0%] women). Two patients had missing baseline data and exited the study early. Univariate predictors of AF detection included age (per 1-year increments: hazard ratio [HR], 1.05; 95% CI, 1.01-1.09; P = .02), CHA2DS2-VASc score (per point: HR, 1.54; 95% CI, 1.15-2.06; P = .004), chronic obstructive pulmonary disease (HR, 2.49; 95% CI, 0.86-7.20; P = .09), congestive heart failure (CHF; with preserved or reduced ejection fraction: HR, 6.64; 95% CI, 2.29-19.24; P < .001), left atrial enlargement (LAE; HR, 3.63; 95% CI, 1.55-8.47; P = .003), QRS duration (HR, 1.02; 95% CI, 1.00-1.04; P = .04), and kidney dysfunction (HR, 3.58; 95% CI, 1.35-9.46; P = .01). In multivariable modeling (n = 197), only CHF (HR, 5.06; 95% CI, 1.45-17.64; P = .05) and LAE (HR, 3.32; 1.34-8.19; P = .009) remained significant predictors of AF. At 12 months, patients with CHF and/or LAE (40 of 142 patients) had an AF detection rate of 23.4% vs 5.0% for patients with neither (HR, 5.1; 95% CI, 2.0-12.8; P < .001). Conclusions and Relevance Among patients with ischemic stroke attributed to large- or small-vessel disease, CHF and LAE were associated with a significantly increased risk of poststroke AF detection. These patients may benefit most from the use of ICMs as part of a secondary stroke prevention strategy. However, the study was not powered for clinical predictors of AF, and therefore, other clinical characteristics may not have reached statistical significance. Trial Registration ClinicalTrials.gov Identifier: NCT02700945.
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Affiliation(s)
- Lee H. Schwamm
- Department of Neurology, Massachusetts General Hospital, Boston
| | - Hooman Kamel
- Department of Neurology, Weill Cornell Medicine, New York, New York,Deputy Editor, JAMA Neurology
| | - Christopher B. Granger
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Jonathan P. Piccini
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Jeffrey M. Katz
- Department of Neurology and Radiology, North Shore University Hospital, Manhasset, New York
| | - Pramod P. Sethi
- Guilford Neurology Associates, Moses H. Cone Hospital, Greensboro, North Carolina
| | - Evgeny V. Sidorov
- Department of Neurology, The University of Oklahoma Health Sciences Center, Oklahoma City
| | - Scott E. Kasner
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | | | | | - Noreli Franco
- Clinical Department, Medtronic, Minneapolis, Minnesota
| | | | - Richard A. Bernstein
- Davee Department of Neurology, Feinberg School of Medicine of Northwestern University, Chicago, Illinois
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Morey J, Zhang X, Marayati NF, Matsoukas S, Fiano E, Oxley T, Dangayach NS, Stein LK, Fara M, Skliut M, Fifi JT. Abstract MP21: Mobile Interventional Stroke Teams Lead to Improved Outcomes in the Early Time Window for LVO Stroke. Stroke 2021. [DOI: 10.1161/str.52.suppl_1.mp21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Endovascular therapy (EVT) for large vessel occlusion (LVO) stroke is time-sensitive. At Mount Sinai Health System, we developed a novel Mobile Interventional Stroke Team (MIST) that travels to Thrombectomy Capable Stroke Centers to perform EVT, as opposed to transferring patients in the Drip-and-Ship (DS) model. We have shown significantly faster initial door-to-recanalization times and improved discharge outcomes. The effect of the MIST stratified by time of presentation has yet to be studied.
Hypothesis:
In patients presenting with a last known well [LKW] of <6 hours, the MIST model leads to better clinical outcomes as compared to the DS model.
Methods:
In a prospectively collected stroke database at a multicenter health system, patients undergoing EVT performed by a MIST or after transfer in a DS model from January 2017 to March 2020 with baseline mRS 0-2 were selected. Patients presenting in the early time window and late time window (LKW >6 hours) were analyzed separately. The primary endpoint was the proportion with a good outcome (mRS of 0-2) at 90 days. Secondary endpoints included discharge NIHSS and mRS.
Results:
In the 242 selected patients, the MIST and DS cohorts were similar in age, gender, initial NIHSS, pre-stroke mRS, and procedural details. In the early window, 54% (39/72) had a good 90-day outcome in the MIST model, as compared to 28% (25/88) in the DS model (p<0.01). In the late window, good 90-day outcomes were similar (29% vs 43%; p=0.40). The median NIHSS at discharge was 4.0 and 12.0 in the early window (p<0.01) and 5.0 and 11.0 in the late window (p=0.16) in the MIST and DS models, respectively. The early window discharge mRS was significantly better in the MIST model (p<0.01) and similar in the late window (p=0.74).
Conclusions:
The MIST model used in the early time window produces better 90-day outcomes compared to the DS model. This is likely due to the MIST’s ability to capture fast progressors in the early window.
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Morey JR, Oxley TJ, Wei D, Kellner CP, Dangayach NS, Stein L, Hom D, Wheelwright D, Rubenstein L, Skliut M, Shoirah H, De Leacy RA, Singh IP, Zhang X, Persaud S, Tuhrim S, Dhamoon M, Bederson J, Mocco J, Fifi JT, Boniece IR, Brockington CD, Fara M, Hao Q, Horowitz DR, Lay C, Liang J, Nasrallah EJ, Roche T, Sheinart KF, Paul Singh I, Tegtmeyer C, Weinberger J. Mobile Interventional Stroke Team Model Improves Early Outcomes in Large Vessel Occlusion Stroke. Stroke 2020; 51:3495-3503. [DOI: 10.1161/strokeaha.120.030248] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background and Purpose:
Triage of patients with emergent large vessel occlusion stroke to primary stroke centers followed by transfer to comprehensive stroke centers leads to increased time to endovascular therapy. A Mobile Interventional Stroke Team (MIST) provides an alternative model by transferring a MIST to a Thrombectomy Capable Stroke Center (TSC) to perform endovascular therapy. Our aim is to determine whether the MIST model is more time-efficient and leads to improved clinical outcomes compared with standard drip-and-ship (DS) and mothership models.
Methods:
This is a prospective observational cohort study with 3-month follow-up between June 2016 and December 2018 at a multicenter health system, consisting of one comprehensive stroke center, 4 TSCs, and several primary stroke centers. A total of 228 of 373 patients received endovascular therapy via 1 of 4 models: mothership with patient presentation to a comprehensive stroke center, DS with patient transfer from primary stroke center or TSC to comprehensive stroke center, MIST with patient presentation to TSC and MIST transfer, or a combination of DS with patient transfer from primary stroke center to TSC and MIST. The prespecified primary end point was initial door-to-recanalization time and secondary end points measured additional time intervals and clinical outcomes at discharge and 3 months.
Results:
MIST had a faster mean initial door-to-recanalization time than DS by 83 minutes (
P
<0.01). MIST and mothership had similar median door-to-recanalization times of 192 minutes and 179 minutes, respectively (
P
=0.83). A greater proportion had a complete recovery (National Institutes of Health Stroke Scale of 0 or 1) at discharge in MIST compared with DS (37.9% versus 16.7%;
P
<0.01). MIST had 52.8% of patients with modified Rankin Scale of ≤2 at 3 months compared with 38.9% in DS (
P
=0.10).
Conclusions:
MIST led to significantly faster initial door-to-recanalization times compared with DS, which was comparable to mothership. This decrease in time has translated into improved short-term outcomes and a trend towards improved long-term outcomes.
Registration:
URL:
https://www.clinicaltrials.gov
. Unique identifier: NCT03048292.
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Affiliation(s)
- Jacob R. Morey
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
| | - Thomas J. Oxley
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
| | - Daniel Wei
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (N.S.D., L.S., D.W., M.S., H.S., I.P.S., S.T., M.D., J.T.F.)
| | - Christopher P. Kellner
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
| | - Neha S. Dangayach
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (N.S.D., L.S., D.W., M.S., H.S., I.P.S., S.T., M.D., J.T.F.)
| | - Laura Stein
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (N.S.D., L.S., D.W., M.S., H.S., I.P.S., S.T., M.D., J.T.F.)
| | - Danny Hom
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
| | - Danielle Wheelwright
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (N.S.D., L.S., D.W., M.S., H.S., I.P.S., S.T., M.D., J.T.F.)
| | - Liorah Rubenstein
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
| | - Maryna Skliut
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (N.S.D., L.S., D.W., M.S., H.S., I.P.S., S.T., M.D., J.T.F.)
| | - Hazem Shoirah
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (N.S.D., L.S., D.W., M.S., H.S., I.P.S., S.T., M.D., J.T.F.)
| | - Reade A. De Leacy
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
| | - I. Paul Singh
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (N.S.D., L.S., D.W., M.S., H.S., I.P.S., S.T., M.D., J.T.F.)
| | - Xiangnan Zhang
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
| | - Steven Persaud
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
| | - Stanley Tuhrim
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (N.S.D., L.S., D.W., M.S., H.S., I.P.S., S.T., M.D., J.T.F.)
| | - Mandip Dhamoon
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (N.S.D., L.S., D.W., M.S., H.S., I.P.S., S.T., M.D., J.T.F.)
| | - Joshua Bederson
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
| | - J Mocco
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
| | - Johanna T. Fifi
- Department of Neurosurgery (J.R.M., T.J.O., D.W., C.P.K., N.S.D., D.H., L.R., H.S., R.A.D.L., I.P.S., X.Z., S.P., J.B., J.M., J.T.F.)
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (N.S.D., L.S., D.W., M.S., H.S., I.P.S., S.T., M.D., J.T.F.)
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Roberts M, Fara M, Wheelwright D, Giovanni B, Morey J, Persaud S, Fifi J, Tuhrim S, Stein L. Abstract WP392: Non-English Speakers Present Faster with More Severe Strokes. Stroke 2019. [DOI: 10.1161/str.50.suppl_1.wp392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
With the continued expansion of acute stroke treatment options, urban tertiary referral centers such as ours are treating an increasingly diverse patient population. As we attempted to better understand barriers to improved door to treatment times in our acute stroke code protocol, we postulated that there might be differences in severity of presentation and swiftness of acute stroke care based on English fluency.
Methods:
Through a departmental quality improvement project to optimize local policy in the context of new acute stroke treatment guidelines, we compared National Institute of Health Stroke Scale (NIHSS) at presentation, time to presentation, and time to treatment of fluent English speakers to patients who were not fluent in English. We analyzed data from 667 acute stroke codes from January 2017 to March 2018 with Statistical Package for the Social Science (SPSS) using two-tailed t-tests.
Results:
In-Hospital stroke codes included 415 English speakers and 97 non-English speakers, while Outside Hospital (OSH) transfers comprised 92 English speakers and 35 non-English speakers. Non-English-speaking patients had higher average NIHSS scores at time of acute stroke presentation (11 vs 8 (p=0.013) in-hospital and 17 vs 13(p = 0.007) OSH transfer). Last known well (LKW) to stroke code time upon arrival to our center was significantly shorter in non-English speakers compared to English speakers coming from an OSH (315 minutes vs 515 minutes, p = 0.016), but there were no statistically significant differences between language groups for in-hospital codes’ LKW to stroke code times. There were no statistically significant differences in acute treatment times, but in the OSH transfer group, average LKW to groin puncture was 349 minutes for non-English speakers compared to 545 minutes for English speakers (p=0.085).
Conclusions:
This data suggests that at our center, non-English speakers present with more severe strokes and present more quickly. Increased stroke severity may partially explain an observed trend towards faster times from LKW to thrombectomy for non-English speakers transferred from an OSH.
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le Rolle AF, Chiu TK, Fara M, Shia J, Zeng Z, Weiser MR, Paty PB, Chiu VK. The prognostic significance of CXCL1 hypersecretion by human colorectal cancer epithelia and myofibroblasts. J Transl Med 2015; 13:199. [PMID: 26104296 PMCID: PMC4477596 DOI: 10.1186/s12967-015-0555-4] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Accepted: 06/01/2015] [Indexed: 12/23/2022] Open
Abstract
Background Clinical therapy for metastatic colorectal cancer (CRC) remains limited, especially when the tumor harbors a KRAS mutation. This study aimed to identify prognostic biomarkers in CRC that are accessible for therapeutic inhibition. Methods Conditioned media from human CRC epithelial cells and myofibroblasts were screened by cytokine arrays for tumorigenic factors. The protein and mRNA expressions of these factors were determined by immunohistochemistry and gene microarrays in human CRC tissues. Prognostic biomarkers were determined by correlation of mRNA expression to overall survival in stage IV CRC patients. Inhibition of CXCL1 was performed with specific neutralizing antibody and lentiviral shRNAs. Malignant growth was assessed by soft agar growth assays and xenograft tumor growth in immunocompromised mice. Results CXCL1 was highly secreted by KRAS mutant human CRC cells and myofibroblasts in a complementary adaptive response to serum deprivation. Elevated CXCL1 level promoted anchorage-independent growth of murine fibroblasts and human CRC cells. Inhibition of CXCL1 by neutralizing antibody and specific shRNAs decreased CRC tumor growth. Highly elevated CXCL1 expression significantly correlated with decreased overall survival in stage IV CRC patients (hazard ratio 0.28; 95% CI 0.11–0.72). Conclusions High CXCL1 expression is a poor prognostic biomarker in metastatic CRC. CXCL1 inhibition suppressed tumorigenic growth of KRAS mutant CRC cells. Electronic supplementary material The online version of this article (doi:10.1186/s12967-015-0555-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Anne-France le Rolle
- Division of Hematology/Oncology and Chao Family Comprehensive Cancer Center, Department of Medicine, University of California, 839 Health Sciences Road, Sprague Hall Office 116, Irvine, CA, 92697, USA.
| | - Thang K Chiu
- Department of Biochemistry and Molecular Biology, Louisiana State University Health Sciences Center, New Orleans, LA, 70112, USA.
| | - Michael Fara
- Department of Medicine, Weill Cornell Medical College, New York, NY, 10065, USA.
| | - Jinru Shia
- Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
| | - Zhaoshi Zeng
- Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
| | - Martin R Weiser
- Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
| | - Philip B Paty
- Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA.
| | - Vi K Chiu
- Division of Hematology/Oncology and Chao Family Comprehensive Cancer Center, Department of Medicine, University of California, 839 Health Sciences Road, Sprague Hall Office 116, Irvine, CA, 92697, USA.
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Paik PK, Arcila ME, Fara M, Sima CS, Miller VA, Kris MG, Ladanyi M, Riely GJ. Clinical characteristics of patients with lung adenocarcinomas harboring BRAF mutations. J Clin Oncol 2011; 29:2046-51. [PMID: 21483012 DOI: 10.1200/jco.2010.33.1280] [Citation(s) in RCA: 496] [Impact Index Per Article: 38.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
PURPOSE BRAF mutations occur in non-small-cell lung cancer. Therapies targeting BRAF mutant tumors have recently been identified. We undertook this study to determine the clinical characteristics of patients with lung adenocarcinomas harboring BRAF mutations. PATIENTS AND METHODS We reviewed data from consecutive patients with lung adenocarcinoma whose tumors underwent BRAF, EGFR, and KRAS mutation testing as well as fluorescence in situ hybridization for ALK rearrangements. Patient characteristics including age, sex, race, performance status, smoking history, stage, treatment history, and overall survival were collected. RESULTS Among 697 patients with lung adenocarcinoma, BRAF mutations were present in 18 patients (3%; 95% CI, 2% to 4%). The BRAF mutations identified were V600E (50%), G469A (39%), and D594G (11%). Mutations in EGFR were present in 24%, KRAS in 25%, and ALK translocations in 6%. In contrast to patients with EGFR mutations and ALK rearrangements who were mostly never smokers, all patients with BRAF mutations were current or former smokers (P < .001). The median overall survival of advanced-stage patients with BRAF mutations was not reached. In comparison, the median overall survival of patients with EGFR mutations was 37 months (P = .73), with KRAS mutations was 18 months (P = .12), and with ALK rearrangements was not reached (P = .64). CONCLUSION BRAF mutations occur in 3% of patients with lung adenocarcinoma and occur more commonly in current and former smokers. The incidence of BRAF mutations other than V600E is significantly higher in lung cancer than in melanoma.
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Affiliation(s)
- Paul K Paik
- Memorial Sloan-Kettering Cancer Center and Weill Medical College of Cornell University, New York, NY 10065, USA
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Abstract
The role of natural killer cell activity in immunosurveillance following thermal injury remains unknown. We utilize a chromium-51-release assay of K562 targets to monitor NK activity. NK activity of peripheral blood mononuclear cells of severely burned patients (BSA greater than 20%) was determined once a week until the convalescence period was completed. From the second week after thermal injury, impairment of NK activity was demonstrated, but the differences did not reach statistical significance. However, a correlation was found between decline of NK activity and incidences of septic complications. Surprisingly, no decline in NK activity was observed in the first week after thermal injury.
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Affiliation(s)
- M Jira
- Department of Medicine I, Burn Centre, Prague, Czechoslovakia
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Abstract
The concentrations of immunoglobulin E (IgE) were measured serially in 30 patients with severe burn injury. A characteristic finding was a rapid and dramatic increase of IgE in the serum of all patients, some of whom showed up to 20-fold increases. IgE was also found in considerable amounts in blister fluid and pleural effusions. In some patients raised IgE values were the only indicator of an anamnestic immediate allergic state. No correlation was found between the IgE levels and clinical characteristics of individual patients but significant changes seemed to be present only in patients with a burn covering more than 20 per cent of the body surface area.
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Affiliation(s)
- V Polacek
- Department of Plastic Surgery, Faculty Hospital and Medical School, Charles University, Prague, Czechoslovakia
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Jira M, Polacek V, Fara M, Strejcek J, Konigova R. Effect of human recombinant interleukin (IL-2) on peripheral blood mononuclear cells of burned patients. Burns 1987; 13:110-3. [PMID: 3495321 DOI: 10.1016/0305-4179(87)90098-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Interleukin-2 (IL-2) has been suggested to play a key role in the immune response. To investigate the effect of human recombinant IL-2 on proliferative and cytotoxic responses in burn patients, peripheral blood mononuclear cells from 20 severely burned patients (body surface area (BSA) greater than 20 per cent) were studied in this way. Proliferative response measured by tritiated thymidine uptake was impaired from week 2 following injury. IL-2-activated cytotoxicity to NK-resistant target T24 was significantly impaired from week 2. To clarify if the defect in cytotoxic response is due to a decreased number of cell precursors or due to reduced responsiveness to IL-2, a limiting dilution assay was introduced. However, there was no reduction in precursor cell numbers. These data suggest that, in addition to impaired IL-2 production, there is an endogenous defect in IL-2 responsiveness. This may be of clinical importance since it is not possible to reverse this defect, at least in vitro.
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Fara M. The anatomy of cleft lip. Clin Plast Surg 1975; 2:205-14. [PMID: 1097156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Fara M, Hrivnakova J, Sedlackova E. Submucous cleft palates. Plast Reconstr Surg 1973. [DOI: 10.1097/00006534-197304000-00060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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