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Mangone E, Shahriary E, Bosch P. Role of inpatient rehabilitation facility functional measures to predict community discharge after stroke. PM R 2024. [PMID: 39319640 DOI: 10.1002/pmrj.13266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 07/03/2024] [Accepted: 07/18/2024] [Indexed: 09/26/2024]
Abstract
BACKGROUND This study investigated the association between stroke severity, functional status measured by the Inpatient Rehabilitation Facility-Patient Assessment Instrument (IRF-PAI), and community discharge from IRF. OBJECTIVES Aim one examined the association between National Institutes of Health Stroke Scale (NIHSS) scores measured during the acute care stay and IRF admission functional status, measured by the admission IRF-PAI self-care and mobility functional measures, to deduce if functional measures can serve as a proxy for stroke severity. Aim two investigated the ability of the NIHSS and IRF-PAI admission functional measures to predict community discharge from IRF after stroke. DESIGN Retrospective cohort study using electronic health records and Uniform Data System. Medical Record file data from January 1, 2018, to December 30, 2019. SETTING Academic hospital-based IRF. PARTICIPANTS Five hundred forty-four patients transferred from acute care hospital to IRF after an ischemic or hemorrhagic stroke. Exclusion criteria included a transient ischemic attack, discharge against medical advice, death during IRF stay, or readmission to acute care within 48 hours of IRF admission. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Admission IRF-PAI self-care and mobility scores and discharge status from IRF. RESULTS Of the 544 patients, 76.7% had community discharge. NIHSS scores were significantly associated with IRF-PAI admission self-care scores across each NIHSS stroke category. There was no statistically significant association between NIHSS and IRF-PAI admission mobility score. IRF admission self-care and mobility scores were each statistically significant predictors of community discharge (odds ratio [OR] = 1.10, 95% confidence interval [CI]: 1.03-1.17; OR = 1.10, CI: 1.03-1.18, respectively). NIHSS scores were not a statistically significant predictor of community discharge (OR = 0.70, CI: 0.47-1.04) from IRF. CONCLUSIONS IRF-PAI self-care functional measure is associated with the NIHSS and can serve as a proxy for stroke severity. IRF-PAI self-care and mobility measures each predict community discharge.
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Affiliation(s)
- Elizabeth Mangone
- Department of Medicine, University of Arizona College of Medicine-Phoenix, Phoenix, Arizona, USA
| | - Eashan Shahriary
- Department of Medicine, University of Arizona College of Medicine-Phoenix, Phoenix, Arizona, USA
| | - Pamela Bosch
- Department of Medicine, University of Arizona College of Medicine-Phoenix, Phoenix, Arizona, USA
- Department of Physical Therapy and Athletic Training, College of Health and Human Services, Northern Arizona University, Phoenix Bioscience Core, Phoenix, Arizona, USA
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Lv W, Ruan Z, Zhang Q, Wei Y, Wu X, Dou YN, Chao W, Fei X, Fei Z. Serum Homer1 is a Novel Biomarker for Predicting the Clinical Outcomes of Acute Ischemic Stroke Patients. J Inflamm Res 2024; 17:1337-1347. [PMID: 38434583 PMCID: PMC10908339 DOI: 10.2147/jir.s453018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 02/20/2024] [Indexed: 03/05/2024] Open
Abstract
Purpose We aim to explore the relationship between Homer1 and the outcomes of AIS patients at 3 months. Patients and Methods This prospective cohort study was conducted from May 2022 to March 2023. In this study, we investigated the association between serum Homer1 levels by enzyme-linked immunosorbent assay at admission and functional outcomes of patients at 3 months after AIS. Results Overall, 89 AIS patients (48 good outcomes and 41 poor outcomes) and 83 healthy controls were included. The median serum Homer1 level of patients at admission with poor outcomes was significantly higher than that of patients with good outcomes (39.33 vs 33.15, P<0.001). Serum Homer1 levels at admission were positively correlated with the severity of AIS (r = 0.488, P<0.001). The optimal cutoff of serum Homer1 level as an indicator for an auxiliary diagnosis of 3 months functional outcomes was 35.07 pg/mL, with a sensitivity of 75.0% and a specificity of 92.7% (AUC 0.837; 95% CI [0.744-0.907]; P<0 0.001). The odds ratio of MRS > 2 predicted by the level of serum Homer1 after 3 months was 1.665 (1.306-2.122; P<0.001). Conclusion Serum concentrations of Homer1 have a high predictive value for neurobehavioral outcomes after acute ischemic stroke. Higher serum Homer1 levels (>35.07 pg/mL) were positively associated with poor functional outcomes of patients 3 months post-stroke.
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Affiliation(s)
- Weihao Lv
- Department of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, 710032, People’s Republic of China
| | - Zhe Ruan
- Department of Neurology, Tangdu Hospital, Air Force Medical University, Xi’an, Shaanxi, 710032, People’s Republic of China
| | - Qianqian Zhang
- Department of Respiratory Medicine, Lanzhou University Second Hospital, Lanzhou, 730070, People’s Republic of China
| | - Yaxuan Wei
- Department of Neurology, Gansu Province Central Hospital, Lanzhou, 730070, People’s Republic of China
| | - Xiuquan Wu
- Department of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, 710032, People’s Republic of China
| | - Ya-Nan Dou
- Department of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, 710032, People’s Republic of China
| | - Wangshu Chao
- Department of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, 710032, People’s Republic of China
| | - Xiaowei Fei
- Department of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, 710032, People’s Republic of China
| | - Zhou Fei
- Department of Neurosurgery, Xijing Hospital, Air Force Medical University, Xi’an, Shaanxi, 710032, People’s Republic of China
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Hagberg G, Ihle-Hansen H, Abzhandadze T, Reinholdsson M, Hansen HI, Sunnerhagen KS. Prognostic value of acute National Institutes of Health Stroke Scale Items on disability: a registry study of first-ever stroke in the western part of Sweden. BMJ Open 2023; 13:e080007. [PMID: 38110379 DOI: 10.1136/bmjopen-2023-080007] [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] [Indexed: 12/20/2023] Open
Abstract
OBJECTIVES We aimed to study how the individual items of the National Institutes of Health Stroke Scale (NIHSS) at admission predict functional independence 3 months post-stroke in patients with first-ever stroke. SETTING This registry-based study used data from two Swedish stroke registers (Riksstroke, the mandatory national quality register for stroke care in Sweden, and Väststroke, a local quality stroke register in Gothenburg). PARTICIPANTS This study included patients with first-ever acute stroke admitted from November 2014 to August 2018, with available NIHSS at admission and modified Rankin Scale (mRS) at 3-month follow-up. PRIMARY OUTCOME The primary outcome variable was mRS≤1 (defined as an excellent outcome) at 3-month follow-up. RESULTS We included 1471 patients, mean age was 72 (± 14.5) years, 48% were female, and 66% had mild strokes (NIHSS≤3). In adjusted binary logistic regression analysis, the NIHSS items impaired right motor arm and leg, and impairment in visual field, reduced the odds of an excellent outcome at 3 months ((OR 0.60 (95% CI 0.37 to 0.98), OR 0.60 (95% CI 0.37 to 0.97), and OR 0.65 (95% CI 0.45 to 0.94)). When exploring the effect size of associations between NIHSS items and mRS≤1 p, orientation, language and right leg motor had the largest yet small association. CONCLUSIONS Stroke patients with scores on the NIHSS items right motor symptoms or visual field at admission are less likely to have an excellent outcome at 3 months. Clinicians should consider the NIHSS items affected, not only the total NIHSS score, both in treatment guidance and prognostics.
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Affiliation(s)
- Guri Hagberg
- Oslo Stroke Unit, Neurological Department, Oslo University Hospital, Ullevål, Oslo, Norway
- Institute of Neuroscience and Physiology, Section for Clinical Neuroscience and Rehabilitation, Gothenburg University, Goteborg, Sweden
| | - Haakon Ihle-Hansen
- Bærum Hospital- Vestre Viken Hospital Trust, Department of Medicine, Drammen, Norway
| | - Tamar Abzhandadze
- Institute of Neuroscience and Physiology, Section for Clinical Neuroscience and Rehabilitation, Gothenburg University, Goteborg, Sweden
- Department of Occupational Therapy and Physiotherapy, Sahlgrenska University Hospital, Goteborg, Sweden
| | - Malin Reinholdsson
- Institute of Neuroscience and Physiology, Section for Clinical Neuroscience and Rehabilitation, Gothenburg University, Goteborg, Sweden
- Department of Occupational Therapy and Physiotherapy, Sahlgrenska University Hospital, Goteborg, Sweden
| | - Hege Ihle Hansen
- Oslo Stroke Unit, Neurological Department, Oslo University Hospital, Ullevål, Oslo, Norway
- Bærum Hospital- Vestre Viken Hospital Trust, Department of Medicine, Drammen, Norway
| | - Katharina S Sunnerhagen
- Institute of Neuroscience and Physiology, Section for Clinical Neuroscience and Rehabilitation, Gothenburg University, Goteborg, Sweden
- Neurocare, Sahlgrenska University Hospital, Goteborg, Sweden
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Pre-Stroke Statin Use Is Associated with Mild Neurological Deficits at the Onset of Acute Ischemic Stroke. J Cardiovasc Dev Dis 2022; 9:jcdd9110396. [DOI: 10.3390/jcdd9110396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 11/10/2022] [Accepted: 11/14/2022] [Indexed: 11/18/2022] Open
Abstract
Pre-stroke statin use reduces infarct size. Therefore, this retrospective study aimed to investigate whether pre-stroke statin use is associated with mild neurological deficits (mND) at the onset of acute ischemic stroke (AIS). We included patients with AIS admitted to our institution within 24 h of stroke onset between 2011 and 2019. We collected data on age, sex, pre-stroke use of statins, the National Institutes of Health Stroke Scale (NIHSS) score, the serum biomarker levels, and stroke subtypes at admission. In addition, we defined mND as an NIHSS score ≤3 points. We conducted a logistic regression analysis using variables for pre-stroke statin initiation, calculated the propensity scores for pre-stroke statin use, and implemented propensity score matching (PSM). Finally, we used the McNemar test to evaluate whether pre-stroke statin administration significantly affected mND. Of 4370 patients, 2615 met our inclusion criteria. Among the 594 patients with pre-stroke statin use, 308 presented with mND. After PSM, 555 patients received pre-stroke statin treatment, while 286 patients with pre-stroke statin use presented with mND at admission (p = 0.0411). The binary matched pairs contingency table of mND was not symmetrical (p = 0.0385). Pre-stroke statin use is thus associated with mND at the onset of AIS.
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Ghoneem A, Osborne MT, Abohashem S, Naddaf N, Patrich T, Dar T, Abdelbaky A, Al-Quthami A, Wasfy JH, Armstrong KA, Ay H, Tawakol A. Association of Socioeconomic Status and Infarct Volume With Functional Outcome in Patients With Ischemic Stroke. JAMA Netw Open 2022; 5:e229178. [PMID: 35476065 PMCID: PMC9047646 DOI: 10.1001/jamanetworkopen.2022.9178] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
IMPORTANCE Long-term disability after stroke is associated with socioeconomic status (SES). However, the reasons for such disparities in outcomes remain unclear. OBJECTIVE To assess whether lower SES is associated with larger admission infarct volume and whether initial infarct volume accounts for the association between SES and long-term disability. DESIGN, SETTING, AND PARTICIPANTS This cohort study was conducted in a prospective, consecutive population (n = 1256) presenting with acute ischemic stroke who underwent magnetic resonance imaging (MRI) within 24 hours of admission. Patients were recruited in Massachusetts General Hospital, Boston, from May 31, 2009, to December 31, 2011. Data were analyzed from May 1, 2019, until June 30, 2020. MAIN OUTCOMES AND MEASURES Initial stroke severity (within 24 hours of presentation) was determined using clinical (National Institutes of Health Stroke Scale [NIHSS]) and imaging (infarct volume by diffusion-weighted MRI) measures. Stroke etiologic subtypes were determined using the Causative Classification of Ischemic Stroke algorithm. Long-term stroke disability was measured using the modified Rankin Scale. Socioeconomic status was estimated using zip code-derived median household income and census block group-derived area deprivation index (ADI). Regression and mediation analyses were performed. RESULTS A total of 1098 patients had imaging and SES data available (mean [SD] age, 68.1 [15.7] years; 607 men [55.3%]). Income was inversely associated with initial infarct volume (standardized β, -0.074 [95% CI, -0.127 to -0.020]; P = .007), initial NIHSS (standardized β, -0.113 [95% CI, -0.171 to -0.054]; P < .001), and long-term disability (standardized β, -0.092 [95% CI, -0.149 to -0.035]; P = .001), which remained significant after multivariable adjustments. Initial stroke severity accounted for 64% of the association between SES and long-term disability (standardized β, -0.063 [95% CI, -0.095 to -0.029]; P < .05). Findings were similar when SES was alternatively assessed using ADI. CONCLUSIONS AND RELEVANCE The findings of this cohort study suggest that lower SES is associated with larger infarct volumes on presentation. These SES-associated differences in initial stroke severity accounted for most of the subsequent disparities in long-term disability in this study. These findings shift the culpability for SES-associated disparities in poststroke disability from poststroke factors to those that precede presentation.
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Affiliation(s)
- Ahmed Ghoneem
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Michael T. Osborne
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Shady Abohashem
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Nicki Naddaf
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Tomas Patrich
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Tawseef Dar
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Amr Abdelbaky
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Adeeb Al-Quthami
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Jason H. Wasfy
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Katrina A. Armstrong
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Hakan Ay
- Anithoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston
- Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts
| | - Ahmed Tawakol
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
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Predictors of home discharge after mechanical thrombectomy in patients with acute ischemic stroke: Usefulness of National Institutes of Health Stroke Scale sub-items assessed 24 h postoperatively. INTERDISCIPLINARY NEUROSURGERY 2021. [DOI: 10.1016/j.inat.2021.101341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Louie DR, Simpson LA, Mortenson WB, Field TS, Yao J, Eng JJ. Prevalence of Walking Limitation After Acute Stroke and Its Impact on Discharge to Home. Phys Ther 2021; 102:6408936. [PMID: 34718796 PMCID: PMC8787995 DOI: 10.1093/ptj/pzab246] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 07/05/2021] [Accepted: 09/15/2021] [Indexed: 11/14/2022]
Abstract
OBJECTIVE The purpose of this study was to provide contemporary estimates of the prevalence of lower extremity motor impairment and walking limitation after first-ever stroke and to characterize the predictive nature of early walking ability for being discharged home after acute hospitalization. METHODS In this cohort study, data were collected from a metropolitan acute care hospital in Canada at admission for 487 adults with first-ever acute ischemic or hemorrhagic stroke. Lower extremity motor impairment and walking limitation were measured using the National Institutes of Health Stroke Scale and AlphaFIM, respectively. Parallel multivariable logistic regression models were built to predict discharge home after acute hospitalization compared with further hospitalization. RESULTS For patients surviving a first-ever stroke, 44.1% presented with some degree of lower extremity motor impairment and 46.0% were unable to walk. In a multivariable model built around a binary classification of walking (Nagelkerke R2 = 0.41), those with any ability to walk at admission (with or without therapist assistance) had 9.48 times greater odds of being discharged home (odds ratio = 9.48, 95% CI = 6.11-14.92) than those who were unable. In a parallel multivariable model built around an ordinal classification of walking (Nagelkerke R2 = 0.49), patients had 2.07 times greater odds (odds ratio = 2.07, 95% CI = 1.82-2.38) of being discharged home for each increment on a 6-point walking scale (total dependence to complete independence) assessed at acute admission. CONCLUSION Approximately one-half of patients with first-ever stroke present with lower extremity weakness and walking limitation. Early walking ability is a significant predictor of returning home after acute hospitalization, independent of stroke severity. Discharge planning may be facilitated early after stroke with the familiar assessment of walking ability. IMPACT An early assessment of walking function within days of stroke admission can help to streamline discharge planning. LAY SUMMARY Nearly one-half of all individuals who experience a first-time stroke have walking difficulty when they arrive at the hospital. The severity of the walking limitation can predict whether a patient will eventually be discharged home or go on to further hospitalization.
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Affiliation(s)
- Dennis R Louie
- Graduate Program in Rehabilitation Sciences, Faculty of Medicine, University of British Columbia, Vancouver, Canada,Rehabilitation Research Program, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Lisa A Simpson
- Graduate Program in Rehabilitation Sciences, Faculty of Medicine, University of British Columbia, Vancouver, Canada,Rehabilitation Research Program, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - W Ben Mortenson
- Rehabilitation Research Program, Vancouver Coastal Health Research Institute, Vancouver, Canada,Department of Occupational Science and Occupational Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Thalia S Field
- Division of Neurology, Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada,Vancouver Stroke Program, Vancouver General Hospital, Vancouver Coastal Health, Vancouver, Canada
| | - Jennifer Yao
- Division of Physical Medicine and Rehabilitation, Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada,GF Strong Rehabilitation Centre, Vancouver Coastal Health, Vancouver, Canada
| | - Janice J Eng
- Rehabilitation Research Program, Vancouver Coastal Health Research Institute, Vancouver, Canada,Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, Canada,Address all correspondence to Dr Eng at:
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Cheng Z, Geng X, Rajah GB, Gao J, Ma L, Li F, Du H, Ding Y. NIHSS Consciousness Score Combined with ASPECTS is a Favorable Predictor of Functional Outcome post Endovascular Recanalization in Stroke Patients. Aging Dis 2021; 12:415-424. [PMID: 33815874 PMCID: PMC7990364 DOI: 10.14336/ad.2020.0709] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 07/09/2020] [Indexed: 12/29/2022] Open
Abstract
Although revascularization rates after endovascular thrombectomy for large vessel acute ischemic stroke (AIS) are high (71%), only 46% of patients achieve functional independence at 90 days. The present study was designed to explore a new method for predicting the functional prognosis of AIS patients after endovascular recanalization. A total of 200 anterior circulation stroke patients who received endovascular therapy were enrolled. Logistic regression analysis of clinical characteristics on functional independence were performed. The predictive power of sub-items in National Institute of Health stroke scale (NIHSS) and the combination of NIHSS consciousness and Alberta Stroke Program Early CT Score (ASPECTS) on functional independence were assessed by Receiver Operating Characteristic (ROC) curves and the latter was compared with 3 previously published prediction models by AUC (the area under ROC curve). The AUC for the NIHSS consciousness score to predict functional independence was higher than whole NIHSS and other sub-items (0.716 v 0.705, 0.586, 0.573, 0.552 and 0.559). Low NIHSS consciousness score, high ASPECTS score, short time from onset to recanalization, and high rate of successful recanalization were demonstrated to be significantly associated with the functional independence (OR 0.697, 2.226, 0.994 and 28.643). The prediction power of the combination was significantly better than NIHSS and ASPECTS alone (AUC 0.793 v 0.705 and 0.752). Compared with 3 other prediction models, the combination was found to be the strongest predictor for functional independence (AUC 0.793 v 0.791, 0.671 and 0.564). NIHSS which has been shown to be a strong predictor of functional outcomes after endovascular recanalization is largely dependent on the consciousness component. NIHSS consciousness score combined with ASPECTS appears to be a favorable predictor of functional independence. These findings may have broad reaching effects for isolated centers around the world without advanced imaging for triage and prognostication.
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Affiliation(s)
- Zhe Cheng
- 1Department of Neurology and Stroke Center, Luhe Hospital, Capital Medical University, Beijing, China
| | - Xiaokun Geng
- 1Department of Neurology and Stroke Center, Luhe Hospital, Capital Medical University, Beijing, China.,2China-America Institute of Neuroscience, Luhe Hospital, Capital Medical University, Beijing, China.,3Department of Neurosurgery, Wayne State University School of Medicine, Detroit, MI, USA
| | - Gary B Rajah
- 4Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA.,5Department of Neurosurgery, Gates Vascular Institute at Kaleida Health, Buffalo, New York, USA.,6Department of Neurosurgery, Munson Medical Center, Traverse City, MI, USA
| | - Jie Gao
- 1Department of Neurology and Stroke Center, Luhe Hospital, Capital Medical University, Beijing, China
| | - Linlin Ma
- 1Department of Neurology and Stroke Center, Luhe Hospital, Capital Medical University, Beijing, China
| | - Fenghai Li
- 1Department of Neurology and Stroke Center, Luhe Hospital, Capital Medical University, Beijing, China
| | - Huishan Du
- 1Department of Neurology and Stroke Center, Luhe Hospital, Capital Medical University, Beijing, China
| | - Yuchuan Ding
- 3Department of Neurosurgery, Wayne State University School of Medicine, Detroit, MI, USA
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Hsia AW, Luby ML, Leigh R, Lynch JK, Nadareishvili Z, Benson RT, Kalaria C, Burton SP, Latour L. Prevalence of Imaging Targets in Patients With Minor Stroke Selected for IV tPA Treatment Using MRI: The Treatment of Minor Stroke With MRI Evaluation Study (TIMES). Neurology 2021; 96:e1301-e1311. [PMID: 33472921 DOI: 10.1212/wnl.0000000000011527] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 11/13/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine the IV tissue plasminogen activator (tPA) treatment rate of patients with minor acute ischemic stroke (mAIS) at our centers and compare the frequency of MRI targets by treatment stratification and clinical severity, we evaluated clinical characteristics and baseline MRIs for tPA-treated and untreated patients. METHODS Patients with ischemic stroke from 2015 to 2017 with admit NIH Stroke Scale (NIHSS) <6 were considered. The treated cohort received standard IV tPA and was screened with baseline MRI. The untreated cohort received no acute intervention and baseline MRI was <4 hours from onset. Patients were stratified into "clearly" and "not clearly" disabling deficits by NIHSS elements. Baseline MRI was evaluated by independent raters for AIS targets, with frequencies compared between groups. RESULTS Of 255 patients with mAIS ≤4.5 hours from onset, 140 (55%) received IV tPA, accounting for 46% of all IV tPA patients (n = 305). Eighty-five percent (n = 119) were screened with baseline MRI and had significantly more frequent imaging targets compared to those untreated (n = 90). Of this treated cohort, 75% (n = 89) were not clearly disabling. Except for perfusion-diffusion mismatch (81% clearly disabling vs 56% not clearly disabling [p = 0.036]), there were no significant differences in the frequency of imaging targets across the treated cohort stratified by clinical severity. CONCLUSIONS In MRI-screened mAIS, imaging targets were more frequently seen in patients treated with IV tPA, with similar frequencies even in those without clearly disabling deficits. MRI targets could be used to guide thrombolytic therapy in patients with mAIS; however, a randomized trial is needed to demonstrate efficacy.
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Affiliation(s)
- Amie W Hsia
- From the Stroke Branch (A.W.H., M.L.L., R.L., J.K.L., Z.N., R.T.B., C.K., S.P.B., L.L.), NIH/National Institute of Neurological Disorders and Stroke, Bethesda, MD; MedStar Washington Hospital Center (A.W.H., R.T.B., C.K., S.P.B.), Washington, DC; and Suburban Hospital (Z.N.), Johns Hopkins Medicine, Bethesda, MD.
| | - Marie L Luby
- From the Stroke Branch (A.W.H., M.L.L., R.L., J.K.L., Z.N., R.T.B., C.K., S.P.B., L.L.), NIH/National Institute of Neurological Disorders and Stroke, Bethesda, MD; MedStar Washington Hospital Center (A.W.H., R.T.B., C.K., S.P.B.), Washington, DC; and Suburban Hospital (Z.N.), Johns Hopkins Medicine, Bethesda, MD
| | - Richard Leigh
- From the Stroke Branch (A.W.H., M.L.L., R.L., J.K.L., Z.N., R.T.B., C.K., S.P.B., L.L.), NIH/National Institute of Neurological Disorders and Stroke, Bethesda, MD; MedStar Washington Hospital Center (A.W.H., R.T.B., C.K., S.P.B.), Washington, DC; and Suburban Hospital (Z.N.), Johns Hopkins Medicine, Bethesda, MD
| | - John K Lynch
- From the Stroke Branch (A.W.H., M.L.L., R.L., J.K.L., Z.N., R.T.B., C.K., S.P.B., L.L.), NIH/National Institute of Neurological Disorders and Stroke, Bethesda, MD; MedStar Washington Hospital Center (A.W.H., R.T.B., C.K., S.P.B.), Washington, DC; and Suburban Hospital (Z.N.), Johns Hopkins Medicine, Bethesda, MD
| | - Zurab Nadareishvili
- From the Stroke Branch (A.W.H., M.L.L., R.L., J.K.L., Z.N., R.T.B., C.K., S.P.B., L.L.), NIH/National Institute of Neurological Disorders and Stroke, Bethesda, MD; MedStar Washington Hospital Center (A.W.H., R.T.B., C.K., S.P.B.), Washington, DC; and Suburban Hospital (Z.N.), Johns Hopkins Medicine, Bethesda, MD
| | - Richard T Benson
- From the Stroke Branch (A.W.H., M.L.L., R.L., J.K.L., Z.N., R.T.B., C.K., S.P.B., L.L.), NIH/National Institute of Neurological Disorders and Stroke, Bethesda, MD; MedStar Washington Hospital Center (A.W.H., R.T.B., C.K., S.P.B.), Washington, DC; and Suburban Hospital (Z.N.), Johns Hopkins Medicine, Bethesda, MD
| | - Chandni Kalaria
- From the Stroke Branch (A.W.H., M.L.L., R.L., J.K.L., Z.N., R.T.B., C.K., S.P.B., L.L.), NIH/National Institute of Neurological Disorders and Stroke, Bethesda, MD; MedStar Washington Hospital Center (A.W.H., R.T.B., C.K., S.P.B.), Washington, DC; and Suburban Hospital (Z.N.), Johns Hopkins Medicine, Bethesda, MD
| | - Shannon P Burton
- From the Stroke Branch (A.W.H., M.L.L., R.L., J.K.L., Z.N., R.T.B., C.K., S.P.B., L.L.), NIH/National Institute of Neurological Disorders and Stroke, Bethesda, MD; MedStar Washington Hospital Center (A.W.H., R.T.B., C.K., S.P.B.), Washington, DC; and Suburban Hospital (Z.N.), Johns Hopkins Medicine, Bethesda, MD
| | - Larry Latour
- From the Stroke Branch (A.W.H., M.L.L., R.L., J.K.L., Z.N., R.T.B., C.K., S.P.B., L.L.), NIH/National Institute of Neurological Disorders and Stroke, Bethesda, MD; MedStar Washington Hospital Center (A.W.H., R.T.B., C.K., S.P.B.), Washington, DC; and Suburban Hospital (Z.N.), Johns Hopkins Medicine, Bethesda, MD
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10
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Covert S, Johnson JK, Stilphen M, Passek S, Thompson NR, Katzan I. Use of the Activity Measure for Post-Acute Care "6 Clicks" Basic Mobility Inpatient Short Form and National Institutes of Health Stroke Scale to Predict Hospital Discharge Disposition After Stroke. Phys Ther 2020; 100:1423-1433. [PMID: 32494809 DOI: 10.1093/ptj/pzaa102] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 12/20/2019] [Accepted: 02/26/2020] [Indexed: 11/13/2022]
Abstract
OBJECTIVE Therapists in the hospital are charged with making timely discharge recommendations to improve access to rehabilitation after stroke. The objective of this study was to identify the predictive ability of the Activity Measure for Post-Acute Care "6 Clicks" Basic Mobility Inpatient Short Form (6 Clicks mobility) score and the National Institutes of Health Stroke Scale (NIHSS) score for actual hospital discharge disposition after stroke. METHODS In this retrospective cohort study, data were collected from an academic hospital in the United States for 1543 patients with acute stroke and a 6 Clicks mobility score. Discharge to home, a skilled nursing facility (SNF), or an inpatient rehabilitation facility (IRF) was the primary outcome. Associations among these outcomes and 6 Clicks mobility and NIHSS scores, alone or together, were tested using multinomial logistic regression, and the predictive ability of these scores was calculated using concordance statistics. RESULTS A higher 6 Clicks mobility score alone was associated with a decreased odds of actual discharge to an IRF or an SNF. The 6 Clicks mobility score alone was a strong predictor of discharge to home versus an IRF or an SNF. However, predicting discharge to an IRF versus an SNF was stronger when the 6 Clicks mobility score was considered in combination with the NIHSS score, age, sex, and race. CONCLUSION The 6 Clicks mobility score alone can guide discharge decision making after stroke, particularly for discharge to home versus an SNF or an IRF. Determining discharge to an SNF versus an IRF could be improved by also considering the NIHSS score, age, sex, and race. Future studies should seek to identify which additional characteristics improve predictability for these separate discharge destinations. IMPACT The use of outcome measures can improve therapist confidence in making discharge recommendations for people with stroke, can enhance hospital throughput, and can expedite access to rehabilitation, ultimately affecting functional outcomes.
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Affiliation(s)
- Stephanie Covert
- Rehabilitation and Sports Therapy, Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH 44195 (USA)
| | | | | | | | - Nicolas R Thompson
- Department of Quantitative Health Sciences, Cleveland Clinic; and Neurological Institute Center for Outcomes Research and Evaluation, Cleveland Clinic
| | - Irene Katzan
- Neurological Institute Center for Outcomes Research and Evaluation, Cleveland Clinic; and Department of Neurology, Cleveland Clinic
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11
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Wang Y, Zhang L, Pan YJ, Fu W, Huang SW, Xu B, Dou LP, Hou Q, Li C, Yu L, Zhou HF, Yang JH, Wan HT. Investigation of Invigorating Qi and Activating Blood Circulation Prescriptions in Treating Qi Deficiency and Blood Stasis Syndrome of Ischemic Stroke Patients: Study Protocol for a Randomized Controlled Trial. Front Pharmacol 2020; 11:892. [PMID: 32625091 PMCID: PMC7311665 DOI: 10.3389/fphar.2020.00892] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 05/29/2020] [Indexed: 01/19/2023] Open
Abstract
Ischemic stroke (IS) is characterized by high morbidity and high mortality. The integration of Traditional Chinese medicine (TCM) and western medicine has shown promising benefits in relieving symptoms, promoting neurological recovery, and improving the quality of life of patients with IS. In TCM, Qi-deficiency along with blood-stasis (QDBS) syndrome is one of the common types of IS that is treated by invigorating Qi and activating blood circulation. In TCM theory, improving the corresponding degree of prescription-syndrome correlation (PSC) is helpful to improve clinical efficacy. In this study, we intend to use similar prescriptions that invigorate Qi and activate blood circulation: Buyang Huanwu granules (BHG), Naoxintong capsules (NXTC), and Yangyin Tongnao granules (YTG). The goal is to evaluate their level of PSC inpatients with IS with QDBS syndrome and find relevant biomarkers to provide an objective basis for precise treatment of TCM and improve the clinical therapeutic effects. A multicenter, randomized, double-blinded, and placebo-controlled intervention trial will be conducted in IS patients with QDBS syndrome, followed by an add-on of Chinese patent medicine. A total of 160 subjects will be randomly assigned to the BHG, NXTC, YTG, and placebo groups in a 1:2:1:1 allocation ratio. All subjects will undergo 28 days of treatment and then followed for another 180 days. The primary outcome is the changes in the National Institutes of Health Stroke Scale score after 28 days of medication. The secondary outcomes include the modified Rankin scale score, activity of daily living scale score, and TCM symptom score. Data will be analyzed in accordance with a predefined statistical analysis plan. Ethical approval of this trial has been granted by the Research Ethics Committee of the First Affiliated Hospital of Zhejiang Chinese Medical University (ID: 2017-Y-004-02). Written informed consent of patients will be required. This trial is registered in the Chinese Clinical Trial Registry (ChiCTR1800015189), and the results will be disseminated to the public through peer-reviewed journals and academic conferences.
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Affiliation(s)
- Yu Wang
- Institute of Cardio-cerebrovascular Disease, Zhejiang Chinese Medical University, Hangzhou, China
| | - Ling Zhang
- Institute of Cardio-cerebrovascular Disease, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yuan-jiang Pan
- Department of Chemistry, Zhejiang University, Hangzhou, China
| | - Wei Fu
- Department of Cardiac-Cerebral Diseases, Yinchuan Cardiac-Cerebral Treatment Internet Hospital, Yinchuan, China
| | - Shu-wei Huang
- Department of Cardiovascular Diseases, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Bin Xu
- Department of Neurology, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Li-ping Dou
- Department of Cardiovascular Diseases, The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Qun Hou
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Chang Li
- Institute of Cardio-cerebrovascular Disease, Zhejiang Chinese Medical University, Hangzhou, China
| | - Li Yu
- Institute of Cardio-cerebrovascular Disease, Zhejiang Chinese Medical University, Hangzhou, China
| | - Hui-fen Zhou
- Institute of Cardio-cerebrovascular Disease, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jie-hong Yang
- Basic Medical and Public Health College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Hai-tong Wan
- Institute of Cardio-cerebrovascular Disease, Zhejiang Chinese Medical University, Hangzhou, China
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12
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Agarwal S, Scher E, Lord A, Frontera J, Ishida K, Torres J, Rostanski S, Mistry E, Mac Grory B, Cutting S, Burton T, Silver B, Liberman AL, Lerario MP, Furie K, Grotta J, Khatri P, Saver J, Yaghi S. Redefined Measure of Early Neurological Improvement Shows Treatment Benefit of Alteplase Over Placebo. Stroke 2020; 51:1226-1230. [PMID: 32102629 DOI: 10.1161/strokeaha.119.027476] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- The first of the 2 NINDS (National Institute of Neurological Disorders and Stroke) Study trials did not show a significant increase in early neurological improvement, defined as National Institutes of Health Stroke Scale (NIHSS) improvement by ≥4, with alteplase treatment. We hypothesized that early neurological improvement defined as a percentage change in NIHSS (percent change NIHSS) at 24 hours is superior to other definitions in predicting 3-month functional outcomes and using this definition there would be treatment benefit of alteplase over placebo at 24 hours. Methods- We analyzed the NINDS rt-PA Stroke Study (Parts 1 and 2) trial data. Percent change NIHSS was defined as ([admission NIHSS score-24-hour NIHSS score]×100/admission NIHSS score] and delta NIHSS as (admission NIHSS score-24-hour NIHSS score). We compared early neurological improvement using these definitions between alteplase versus placebo patients. We also used receiver operating characteristic curve to determine the predictive association of early neurological improvement with excellent 3-month functional outcomes (Barthel Index score of 95-100 and modified Rankin Scale score of 0-1), good 3-month functional outcome (modified Rankin Scale score of 0-2), and 3-month infarct volume. Results- There was a significantly greater improvement in the 24-hour median percent change NIHSS among patients treated with alteplase compared with the placebo group (28% versus 15%; P=0.045) but not median delta NIHSS (3 versus 2; P=0.471). Receiver operating characteristic curve comparison showed that percent change NIHSS (ROCpercent) was better than delta NIHSS (ROCdelta) and admission NIHSS (ROCadmission) with regards to excellent 3-month Barthel Index (ROCpercent, 0.83; ROCdelta, 0.76; ROCadmission, 0.75), excellent 3-month modified Rankin Scale (ROCpercent, 0.83; ROCdelta, 0.74; ROCadmission, 0.78), and good 3-month modified Rankin Scale (ROCpercent, 0.83; ROCdelta, 0.76; ROCadmission, 0.78). Conclusions- In the NINDS rt-PA trial, alteplase was associated with a significant percent change improvement in NIHSS at 24 hours. Percent change in NIHSS may be a better surrogate marker of thrombolytic activity and 3-month outcomes.
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Affiliation(s)
- Shashank Agarwal
- From the Department of Neurology, New York Langone Health (S.A., E.S., A.L., J.F., K.I., J.T., S.R., S.Y.)
| | - Erica Scher
- From the Department of Neurology, New York Langone Health (S.A., E.S., A.L., J.F., K.I., J.T., S.R., S.Y.)
| | - Aaron Lord
- From the Department of Neurology, New York Langone Health (S.A., E.S., A.L., J.F., K.I., J.T., S.R., S.Y.)
| | - Jennifer Frontera
- From the Department of Neurology, New York Langone Health (S.A., E.S., A.L., J.F., K.I., J.T., S.R., S.Y.)
| | - Koto Ishida
- From the Department of Neurology, New York Langone Health (S.A., E.S., A.L., J.F., K.I., J.T., S.R., S.Y.)
| | - Jose Torres
- From the Department of Neurology, New York Langone Health (S.A., E.S., A.L., J.F., K.I., J.T., S.R., S.Y.)
| | - Sara Rostanski
- From the Department of Neurology, New York Langone Health (S.A., E.S., A.L., J.F., K.I., J.T., S.R., S.Y.)
| | - Eva Mistry
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN (E.M.)
| | - Brian Mac Grory
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI (B.M.G., S.C., T.B., K.F.)
| | - Shawna Cutting
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI (B.M.G., S.C., T.B., K.F.)
| | - Tina Burton
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI (B.M.G., S.C., T.B., K.F.)
| | - Brian Silver
- Department of Neurology, University of Massachusetts Medical School, Worcester (B.S.)
| | - Ava L Liberman
- Department of Neurology, Albert Einstein College of Medicine, NY (A.L.L.)
| | | | - Karen Furie
- Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI (B.M.G., S.C., T.B., K.F.)
| | - James Grotta
- Department of Neurology, Memorial Hermann Hospital, Texas Medical Center, Houston (J.G.)
| | - Pooja Khatri
- Department of Neurology, University of Cincinnati, OH (P.K.)
| | - Jeffrey Saver
- Department of Neurology, Ronald Reagan UCLA Medical Center, Santa Monica, CA (J.S.)
| | - Shadi Yaghi
- From the Department of Neurology, New York Langone Health (S.A., E.S., A.L., J.F., K.I., J.T., S.R., S.Y.)
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13
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Agarwal S, Cutting S, Grory BM, Burton T, Jayaraman M, McTaggart R, Reznik M, Scher E, Chang AD, Frontera J, Lord A, Rostanski S, Ishida K, Torres J, Furie K, Yaghi S. Redefining Early Neurological Improvement After Reperfusion Therapy in Stroke. J Stroke Cerebrovasc Dis 2020; 29:104526. [DOI: 10.1016/j.jstrokecerebrovasdis.2019.104526] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 11/04/2019] [Accepted: 11/06/2019] [Indexed: 11/16/2022] Open
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14
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Reznik ME, Yaghi S, Jayaraman MV, McTaggart RA, Hemendinger M, Mac Grory BC, Burton TM, Cutting SM, Thompson BB, Wendell LC, Mahta A, Potter NS, Daiello LA, Kosar CM, Jones RN, Furie KL. Level of consciousness at discharge and associations with outcome after ischemic stroke. J Neurol Sci 2018; 390:102-107. [PMID: 29801867 DOI: 10.1016/j.jns.2018.04.022] [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: 12/29/2017] [Revised: 04/10/2018] [Accepted: 04/13/2018] [Indexed: 10/17/2022]
Abstract
BACKGROUND Many factors may potentially complicate the stroke recovery process, including persistently impaired level of consciousness (LOC)-whether from residual stroke effects or from superimposed delirium. We aimed to determine the degree to which impaired LOC at hospital discharge is associated with outcomes after ischemic stroke. METHODS We conducted a single-center retrospective cohort study using prospectively-collected data from 2015 to 2017, collecting total NIHSS-LOC score at discharge as well as subscores for responsiveness (LOC-R), orientation questions (LOC-Q), and command-following (LOC-C). We determined associations between LOC scores and 3-month outcome using logistic regression, with discharge location (skilled nursing facility [SNF] vs. inpatient rehabilitation) representing a pre-specified secondary outcome. RESULTS We identified 1003 consecutive patients with ischemic stroke who survived to discharge, of whom 32% had any LOC score > 0. Total LOC score at discharge was associated with unfavorable 3-month outcome (OR 4.9 [95% CI 2.4-9.8] for LOC = 1; OR 8.0 [2.7-23.9] for LOC = 2-3; OR 6.3 [2.1-18.5] for LOC = 4-5; all patients with LOC = 6-7 had poor outcomes), as were subscores for LOC-R (OR 5.3 [1.3-21.2] for LOC-R = 1; all patients with LOC-R = 2-3 had poor outcomes) and LOC-Q (OR 4.1 [2.1-8.3] for LOC-Q = 1; OR 4.9 [1.8-13.5] for LOC-Q = 2). Total LOC score (OR 2.6 [1.3-5.3] for LOC = 1; OR 3.1 [1.2-8.2] for LOC = 2-3) and LOC-Q (OR 3.3 [1.6-6.6] for LOC-Q = 1; OR 3.4 [1.3-9.0] for LOC-Q = 2) were also associated with discharge to SNF rather than to inpatient rehabilitation. CONCLUSIONS The presence of impaired consciousness or disorientation at discharge is associated with markedly worse outcomes after ischemic stroke. Further studies are necessary to determine the separate effects of residual stroke-related LOC changes and those caused by superimposed delirium.
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Affiliation(s)
- Michael E Reznik
- Department of Neurology, Warren Alpert Medical School, Brown University, United States; Department of Neurosurgery, Warren Alpert Medical School, Brown University, United States.
| | - Shadi Yaghi
- Department of Neurology, Warren Alpert Medical School, Brown University, United States
| | - Mahesh V Jayaraman
- Department of Neurology, Warren Alpert Medical School, Brown University, United States; Department of Neurosurgery, Warren Alpert Medical School, Brown University, United States; Department of Diagnostic Imaging, Warren Alpert Medical School, Brown University, United States
| | - Ryan A McTaggart
- Department of Neurology, Warren Alpert Medical School, Brown University, United States; Department of Neurosurgery, Warren Alpert Medical School, Brown University, United States; Department of Diagnostic Imaging, Warren Alpert Medical School, Brown University, United States
| | - Morgan Hemendinger
- Department of Neurology, Warren Alpert Medical School, Brown University, United States
| | - Brian C Mac Grory
- Department of Neurology, Warren Alpert Medical School, Brown University, United States
| | - Tina M Burton
- Department of Neurology, Warren Alpert Medical School, Brown University, United States
| | - Shawna M Cutting
- Department of Neurology, Warren Alpert Medical School, Brown University, United States
| | - Bradford B Thompson
- Department of Neurology, Warren Alpert Medical School, Brown University, United States; Department of Neurosurgery, Warren Alpert Medical School, Brown University, United States
| | - Linda C Wendell
- Department of Neurology, Warren Alpert Medical School, Brown University, United States; Department of Neurosurgery, Warren Alpert Medical School, Brown University, United States
| | - Ali Mahta
- Department of Neurology, Warren Alpert Medical School, Brown University, United States; Department of Neurosurgery, Warren Alpert Medical School, Brown University, United States
| | - N Stevenson Potter
- Department of Neurology, Warren Alpert Medical School, Brown University, United States; Department of Neurosurgery, Warren Alpert Medical School, Brown University, United States
| | - Lori A Daiello
- Department of Neurology, Warren Alpert Medical School, Brown University, United States
| | - Cyrus M Kosar
- Center for Gerontology & Healthcare Research, Brown University School of Public Health, United States
| | - Richard N Jones
- Department of Neurology, Warren Alpert Medical School, Brown University, United States; Department of Psychiatry, Warren Alpert Medical School, Brown University, United States
| | - Karen L Furie
- Department of Neurology, Warren Alpert Medical School, Brown University, United States
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15
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Reznik ME, Yaghi S, Jayaraman MV, McTaggart RA, Hemendinger M, Mac Grory BC, Burton TM, Cutting SM, Siket MS, Madsen TE, Thompson BB, Wendell LC, Mahta A, Potter NS, Furie KL. Baseline NIH Stroke Scale is an inferior predictor of functional outcome in the era of acute stroke intervention. Int J Stroke 2018; 13:806-810. [PMID: 29956598 DOI: 10.1177/1747493018783759] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background and aims Baseline National Institutes of Health Stroke Scale (NIHSS) scores have frequently been used for prognostication after ischemic stroke. With the increasing utilization of acute stroke interventions, we aimed to determine whether baseline NIHSS scores are still able to reliably predict post-stroke functional outcome. Methods We retrospectively analyzed prospectively collected data from a high-volume tertiary-care center. We tested strength of association between NIHSS scores at baseline and 24 h with discharge NIHSS using Spearman correlation, and diagnostic accuracy of NIHSS scores in predicting favorable outcome at three months (defined as modified Rankin Scale 0-2) using receiver operating characteristic curve analysis with area under the curve. Results There were 1183 patients in our cohort, with median baseline NIHSS 8 (IQR 3-17), 24-h NIHSS 4 (IQR 1-11), and discharge NIHSS 2 (IQR 1-8). Correlation with discharge NIHSS was r = 0.60 for baseline NIHSS and r = 0.88 for 24-h NIHSS. Of all patients with follow-up data, 425/1037 (41%) had favorable functional outcome at three months. Receiver operating characteristic curve analysis for predicting favorable outcome showed area under the curve 0.698 (95% CI 0.664-0.732) for baseline NIHSS, 0.800 (95% CI 0.772-0.827) for 24-h NIHSS, and 0.819 (95% CI 0.793-0.845) for discharge NIHSS; 24 h and discharge NIHSS maintained robust predictive accuracy for patients receiving mechanical thrombectomy (AUC 0.846, 95% CI 0.798-0.895; AUC 0.873, 95% CI 0.832-0.914, respectively), while accuracy for baseline NIHSS decreased (AUC 0.635, 95% CI 0.566-0.704). Conclusion Baseline NIHSS scores are inferior to 24 h and discharge scores in predicting post-stroke functional outcomes, especially in patients receiving mechanical thrombectomy.
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Affiliation(s)
- Michael E Reznik
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA.,2 Department of Neurosurgery, Alpert Medical School, Brown University, Providence, RI, USA
| | - Shadi Yaghi
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Mahesh V Jayaraman
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA.,2 Department of Neurosurgery, Alpert Medical School, Brown University, Providence, RI, USA.,3 Department of Diagnostic Imaging, Alpert Medical School, Brown University, Providence, RI, USA
| | - Ryan A McTaggart
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA.,2 Department of Neurosurgery, Alpert Medical School, Brown University, Providence, RI, USA.,3 Department of Diagnostic Imaging, Alpert Medical School, Brown University, Providence, RI, USA
| | - Morgan Hemendinger
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Brian C Mac Grory
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Tina M Burton
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Shawna M Cutting
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
| | - Matthew S Siket
- 4 Department of Emergency Medicine, Alpert Medical School, Brown University, Providence, RI, USA
| | - Tracey E Madsen
- 4 Department of Emergency Medicine, Alpert Medical School, Brown University, Providence, RI, USA
| | - Bradford B Thompson
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA.,2 Department of Neurosurgery, Alpert Medical School, Brown University, Providence, RI, USA
| | - Linda C Wendell
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA.,2 Department of Neurosurgery, Alpert Medical School, Brown University, Providence, RI, USA
| | - Ali Mahta
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA.,2 Department of Neurosurgery, Alpert Medical School, Brown University, Providence, RI, USA
| | - N Stevenson Potter
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA.,2 Department of Neurosurgery, Alpert Medical School, Brown University, Providence, RI, USA
| | - Karen L Furie
- 1 Department of Neurology, Alpert Medical School, Brown University, Providence, RI, USA
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16
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Impact of smoking on stroke outcome after endovascular treatment. PLoS One 2018; 13:e0194652. [PMID: 29718909 PMCID: PMC5931491 DOI: 10.1371/journal.pone.0194652] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Accepted: 03/07/2018] [Indexed: 12/21/2022] Open
Abstract
Background Recent studies suggest a paradoxical association between smoking status and clinical outcome after intravenous thrombolysis (IVT). Little is known about relationship between smoking and stroke outcome after endovascular treatment (EVT). Methods We analyzed data of all stroke patients treated with EVT at the tertiary stroke centre of Berne between January 2005 and December 2015. Using uni- and multivariate modeling, we assessed whether smoking was independently associated with excellent clinical outcome (modified Rankin Scale (mRS) 0–1) and mortality at 3 months. In addition, we also measured the occurrence of symptomatic intracranial hemorrhage (sICH) and recanalization. Results Of 935 patients, 204 (21.8%) were smokers. They were younger (60.5 vs. 70.1 years of age, p<0.001), more often male (60.8% vs. 52.5%, p = 0.036), had less often from hypertension (56.4% vs. 69.6%, p<0.001) and were less often treated with antithrombotics (35.3% vs. 47.7%, p = 0.004) as compared to nonsmokers. In univariate analyses, smokers had higher rates of excellent clinical outcome (39.1% vs. 23.1%, p<0.001) and arterial recanalization (85.6% vs. 79.4%, p = 0.048), whereas mortality was lower (15.6% vs. 25%, p = 0.006) and frequency of sICH similar (4.4% vs. 4.1%, p = 0.86). After correcting for confounders, smoking still independently predicted excellent clinical outcome (OR 1.758, 95% CI 1.206–2.562; p<0.001). Conclusion Smoking in stroke patients may be a predictor of excellent clinical outcome after EVT. However, these data must not be misinterpreted as beneficial effect of smoking due to the observational study design. In view of deleterious effects of cigarette smoking on cardiovascular health, cessation of smoking should still be strongly recommended for stroke prevention.
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17
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Choi JC, Kim BJ, Han MK, Lee SJ, Kang K, Park JM, Park SS, Park TH, Cho YJ, Hong KS, Lee KB, Lee J, Ryu WS, Kim DE, Nah HW, Kim DH, Cha JK, Kim JT, Choi KH, Oh MS, Yu KH, Lee BC, Jang MS, Lee JS, Lee J, Bae HJ. Utility of Items of Baseline National Institutes of Health Stroke Scale as Predictors of Functional Outcomes at Three Months after Mild Ischemic Stroke. J Stroke Cerebrovasc Dis 2017; 26:1306-1313. [PMID: 28318959 DOI: 10.1016/j.jstrokecerebrovasdis.2017.01.027] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2016] [Revised: 01/10/2017] [Accepted: 01/28/2017] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Predicting outcomes of acute stroke patients initially presenting with mild neurologic deficits is crucial in decision making regarding thrombolytic therapy. We examined the utility of individual National Institutes of Health Stroke Scale (NIHSS) score items or clusters of items as predictors of functional outcomes at 3 months after mild stroke. METHODS Using a multicenter stroke registry database, we identified patients with acute ischemic stroke who presented within 4.5 hours of symptom onset and had baseline NIHSS scores less than or equal to 5. Functional outcomes at 3 months were dichotomized as favorable (modified RankinScale [mRS] score 0 or 1) or unfavorable (mRS 2-6). Individual NIHSS items, clusters of items, and the total score were tested for their ability to predict outcomes in multivariable models. Area under the receiver operating characteristic curve (AUC) was used to assess model performance. RESULTS Of the 2209 patients who met eligibility criteria, 588 (26.6%) exhibited unfavorable functional outcomes at 3 months. Of the 15 items of the NIHSS, all except item 8 (sensory) and item 11 (extinction) were significantly associated with unfavorable functional outcomes in bivariate analysis (P's < .05). Among the multivariable models, the model with the total NIHSS score exhibited an AUC similar to that of the model with all NIHSS items in predicting functional outcomes (.758 [95% confidence interval .739-.775] versus .759 [.740-.776]; P = .75 for pairwise comparison). CONCLUSIONS Simply using the total NIHSS score was as effective as using all individual items in predicting outcomes of mild stroke patients.
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Affiliation(s)
- Jay Chol Choi
- Department of Neurology, Jeju National University Hospital, Jeju, Republic of Korea
| | - Beom Joon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Moon-Ku Han
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Soo Joo Lee
- Department of Neurology, Eulji University Hospital, Daejeon, Republic of Korea
| | - Kyusik Kang
- Department of Neurology, Eulji General Hospital, Eulji University, Seoul, Republic of Korea
| | - Jong-Moo Park
- Department of Neurology, Eulji General Hospital, Eulji University, Seoul, Republic of Korea
| | - Sang-Soon Park
- Department of Neurology, Seoul Medical Center, Seoul, Republic of Korea
| | - Tai Hwan Park
- Department of Neurology, Seoul Medical Center, Seoul, Republic of Korea
| | - Yong-Jin Cho
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Republic of Korea
| | - Keun-Sik Hong
- Department of Neurology, Ilsan Paik Hospital, Inje University, Goyang, Republic of Korea
| | - Kyung Bok Lee
- Department of Neurology, Soonchunhyang University College of Medicine, Seoul, Republic of Korea
| | - Jun Lee
- Department of Neurology, Yeungnam University Hospital, Daegu, Republic of Korea
| | - Wi-Sun Ryu
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Dong-Eog Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Hyun-Wook Nah
- Department of Neurology, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Dae-Hyun Kim
- Department of Neurology, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Jae-Kwan Cha
- Department of Neurology, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Joon-Tae Kim
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Kang-Ho Choi
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Mi Sun Oh
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Kyung-Ho Yu
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Byung-Chul Lee
- Department of Neurology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Myung Suk Jang
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Ji Sung Lee
- Clinical Research Center, Asan Medical Center, Seoul, Republic of Korea
| | - Juneyoung Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hee-Joon Bae
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.
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