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Saito M, Kawano H, Adachi T, Gomyo M, Yokoyama K, Shiokawa Y, Hirano T. The presence of a ghost infarct core is associated with fast core growth in acute ischemic stroke. Eur Stroke J 2024:23969873241289320. [PMID: 39397346 PMCID: PMC11556541 DOI: 10.1177/23969873241289320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 09/16/2024] [Indexed: 10/15/2024] Open
Abstract
INTRODUCTION The overestimation of ischemic core volume by CT perfusion (CTP) is a critical concern in the selection of candidates for reperfusion therapy. This phenomenon is termed a ghost infarct core (GIC). Core growth rate (CGR) is an indicator of ischemic severity. We aimed to elucidate the association between GIC and CGR. PATIENTS AND METHODS Consecutive patients with acute ischemic stroke who underwent mechanical thrombectomy in our institute from March 2017 to July 2022 were enrolled. The initial ischemic core volume (IICV) was measured by pretreatment CTP, and the final infarct volume (FIV) was measured by diffusion-weighted imaging. A GIC was defined by IICV minus FIV > 10 ml. The CGR was calculated by dividing the IICV by the time from onset to CTP. Univariable analysis and a multivariable logistic regression model were used to evaluate the association between GIC-positive and CGR. RESULTS Of all 91 patients, 21 (23.1%) were GIC-positive. The GIC-positive group had higher CGR (14.2 [2.6-46.7] vs 4.8 [1.6-17.1] ml/h, p = 0.02) and complete recanalization (n = 15 (71.4%) vs 29 (41.4%), p = 0.02) compared to the GIC-negative group. On receiver-operating characteristic curve analysis, the optimal cutoff point of CGR to predict GIC-positive was 22 ml/h (sensitivity, 0.48; specificity, 0.85; AUC, 0.67). Multivariable logistic regression analysis showed that CGR ⩾ 22 ml/h (OR 6.44, 95% CI [1.59-26.10], p = 0.01) and complete recanalization (OR 3.72, 95% CI [1.14-12.08], p = 0.02) were independent predictors of GIC-positive. CONCLUSIONS A GIC was associated with fast CGR in acute ischemic stroke. Overestimation of the initial ischemic core may be determined by core growth speed.
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Affiliation(s)
- Mikito Saito
- Department of Stroke and Cerebrovascular Medicine, Kyorin University, Mitaka, Tokyo, Japan
| | - Hiroyuki Kawano
- Department of Stroke and Cerebrovascular Medicine, Kyorin University, Mitaka, Tokyo, Japan
| | - Takuya Adachi
- Department of Radiology, Kyorin University Hospital, Mitaka, Tokyo, Japan
| | - Miho Gomyo
- Department of Radiology, Kyorin University, Mitaka, Tokyo, Japan
| | - Kenichi Yokoyama
- Department of Radiology, Kyorin University, Mitaka, Tokyo, Japan
| | - Yoshiaki Shiokawa
- Department of Neurosurgery, Fuji Brain Institute and Hospital, Fujinomiya, Shizuoka, Japan
| | - Teruyuki Hirano
- Department of Stroke and Cerebrovascular Medicine, Kyorin University, Mitaka, Tokyo, Japan
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Christensen EW, Pelzl CE, Hemingway J, Wang JJ, Sanmartin MX, Naidich JJ, Rula EY, Sanelli PC. Drivers of Ischemic Stroke Hospital Cost Trends Among Older Adults in the United States. J Am Coll Radiol 2022; 20:411-421. [PMID: 36357310 DOI: 10.1016/j.jacr.2022.09.026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 09/08/2022] [Accepted: 09/19/2022] [Indexed: 11/09/2022]
Abstract
PURPOSE The increased use of neuroimaging and innovations in ischemic stroke (IS) treatment have improved outcomes, but the impact on median hospital costs is not well understood. METHODS A retrospective study was conducted using Medicare 5% claims data for 75,525 consecutive index IS hospitalizations for patients aged ≥65 years from 2012 to 2019 (values in 2019 dollars). IS episode cost was calculated in each year for trend analysis and stratified by cost components, including neuroimaging (CT angiography [CTA], CT perfusion [CTP], MRI, and MR angiography [MRA]), treatment (endovascular thrombectomy [EVT] and/or intravenous thrombolysis), and patient sociodemographic factors. Logistic regression was performed to analyze the drivers of high-cost episodes and median regression to assess drivers of median costs. RESULTS The median IS episode cost increased by 4.9% from $9,509 in 2012 to $9,973 in 2019 (P = .0021). Treatment with EVT resulted in the greatest odds of having a high-cost (>$20,000) hospitalization (odds ratio [OR], 71.86; 95% confidence interval [CI], 54.62-94.55), as did intravenous thrombolysis treatment (OR, 3.19; 95% CI, 2.90-3.52). Controlling for other factors, neuroimaging with CTA (OR, 1.72; 95% CI, 1.58-1.87), CTP (OR, 1.32; 95% CI, 1.14-1.52), and/or MRA (OR, 1.26; 95% CI, 1.15-1.38) had greater odds of having high-cost episodes than those without CTA, CTP, and MRA. Length of stay > 4 days (OR, 4.34; 95% CI, 3.99-4.72) and in-hospital mortality (OR, 1.85; 95% CI, 1.63-2.10) were also associated with high-cost episodes. CONCLUSIONS From 2012 to 2019, the median IS episode cost increased by 4.9%, with EVT as the main cost driver. However, the increasing treatment cost trends have been partially offset by decreases in median length of stay and in-hospital mortality.
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Boltyenkov AT, Martinez G, Pandya A, Katz JM, Wang JJ, Naidich JJ, Rula E, Sanelli PC. Cost-Consequence Analysis of Advanced Imaging in Acute Ischemic Stroke Care. Front Neurol 2021; 12:774657. [PMID: 34899583 PMCID: PMC8662622 DOI: 10.3389/fneur.2021.774657] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 11/02/2021] [Indexed: 12/02/2022] Open
Abstract
Introduction: The purpose of this study was to illustrate the potential costs and health consequences of implementing advanced CT angiography and perfusion (CTAP) as the initial imaging in patients presenting with acute ischemic stroke (AIS) symptoms at a comprehensive stroke center (CSC). Methods: A decision-simulation model based on the American Heart Association's recommendations for AIS care pathways was developed to assess imaging strategies for a 5-year period from the institutional perspective. The following strategies were compared: (1) advanced CTAP imaging: NCCT + CTA + CT perfusion at the time of presentation; (2) standard-of-care: non-contrast CT (NCCT) at the time of presentation, with CT angiography (CTA) ± CT perfusion only in select patients (initial imaging to exclude hemorrhage and extensive ischemia) for mechanical thrombectomy (MT) evaluation. Model parameters were defined with evidence-based data. Cost-consequence and sensitivity analyses were performed. The modified Rankin Scale (mRS) at 90 days was used as the outcome measure. Results: The decision-simulation modeling revealed that adoption of the advanced CTAP imaging increased per-patient imaging costs by 1.19% ($9.28/$779.72), increased per-patient treatment costs by 33.25% ($729.96/$2,195.24), and decreased other per-patient acute care costs by 0.7% (–$114.12/$16,285.85). The large increase in treatment costs was caused by higher proportion of patients being treated. However, improved outcomes lowered the other per-patient acute care costs. Over the five-year period, advanced CTAP imaging led to 1.63% (66/4,040) more patients with good outcomes (90-day mRS 0-2), 2.23% (66/2,960) fewer patients with poor outcomes (90-day mRS 3-5), and no change in mortality (90-day mRS 6). Our CT equipment utilization analysis showed that the demand for CT equipment in terms of scanner time (minutes) was 24% lower in the advanced CTAP imaging strategy compared to the standard-of-care strategy. The number of EVT procedures performed at the CSC may increase by 50%. Conclusions: Our study reveals that adoption of advanced CTAP imaging at presentation increases the demand for treatment of acute ischemic stroke patients as more patients are diagnosed within the treatment time window compared to standard-of-care imaging. Advanced imaging also leads to more patients with good functional outcomes and fewer patients with dependent functional status.
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Affiliation(s)
- Artem T Boltyenkov
- Center for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research, Manhasset, NY, United States.,Siemens Healthcare, Malvern, PA, United States.,Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, Hempstead, NY, United States
| | - Gabriela Martinez
- Center for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research, Manhasset, NY, United States.,Siemens Healthcare, Malvern, PA, United States.,Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, Hempstead, NY, United States
| | - Ankur Pandya
- Department of Health Policy and Management, School of Public Health, Harvard University, Boston, MA, United States
| | - Jeffrey M Katz
- Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, Hempstead, NY, United States.,Department of Neurology, Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, Hempstead, NY, United States
| | - Jason J Wang
- Center for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research, Manhasset, NY, United States
| | - Jason J Naidich
- Center for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research, Manhasset, NY, United States.,Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, Hempstead, NY, United States
| | - Elizabeth Rula
- Harvey L. Neiman Health Policy Institute, Reston, VA, United States
| | - Pina C Sanelli
- Center for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research, Manhasset, NY, United States.,Department of Radiology, Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, Hempstead, NY, United States
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Rodrigues GM, Mohammaden MH, Haussen DC, Bouslama M, Ravindran K, Pisani L, Prater A, Frankel MR, Nogueira RG. Ghost infarct core following endovascular reperfusion: A risk for computed tomography perfusion misguided selection in stroke. Int J Stroke 2021; 17:17474930211056228. [PMID: 34796765 DOI: 10.1177/17474930211056228] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Computed tomography perfusion (CTP) has been increasingly used for patient selection in mechanical thrombectomy for stroke. However, previous studies suggested that CTP might overestimate the infarct size. The term ghost infarct core (GIC) has been used to describe an overestimation of the final infarct volumes by pre-treatment CTP of >10 ml. AIM We sought to study the frequency and predictors of GIC. METHODS A prospectively collected mechanical thrombectomy database at a comprehensive stroke center between September 2010 and August 2020 was reviewed. Patients were included if they had a successful reperfusion (mTICI2b-3), a pre-procedure CTP, and final infarct volume measured on follow-up magnetic resonance imaging. Uni- and multivariable analyses were performed to identify predictors of GIC. RESULTS Among 923 eligible patients (median [IQR] age, 64 [55-75] years; NIHSS, 16 [11-21]; onset to reperfusion time, 436.5 [286-744.5] min), GIC was identified in 77 (8.3%) of the overall patients and in 14% (47/335) of those reperfused within 6 h of symptom onset. The median overestimation volume was 23.2 [16.4-38.3] mL. GIC was associated with higher NIHSS score, larger areas of infarct core and tissue at risk on CTP, unfavorable collateral scores, and shorter times from onset to image acquisition and to reperfusion as compared to non-GIC. Patients with GIC had smaller median final infarct volumes (10.7 vs. 27.1 ml, p < 0.001), higher chances of functional independence (76.2% vs. 55.5%, adjusted odds ratio (aOR) 3.829, 95% CI [1.505-9.737], p = 0.005), lower disability (one-point-mRS improvement, aOR 1.761, 95% CI [1.044-2.981], p = 0.03), and lower mortality (6.3% vs. 15%, aOR 0.119, 95% CI [0.014-0.984], p = 0.048) at 90 days. On multivariable analysis, time from onset to reperfusion ≤6 h (OR 3.184, 95% CI [1.743-5.815], p < 0.001), poor collaterals (OR 2.688, 95% CI [1.466-4.931], p = 0.001), and higher NIHSS score (OR 1.060, 95% CI [1.010-1.113], p = 0.018) were independent predictors of GIC. CONCLUSION GIC is a relatively common entity, particularly in patients with poor collateral status, higher baseline NIHSS score, and early presentation, and is associated with more favorable outcomes. Patients should not be excluded from reperfusion therapies on the sole basis of CTP findings, especially in the early window.
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Affiliation(s)
- Gabriel M Rodrigues
- Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Mahmoud H Mohammaden
- Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Diogo C Haussen
- Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Mehdi Bouslama
- Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Krishnan Ravindran
- Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Leonardo Pisani
- Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Adam Prater
- Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Michael R Frankel
- Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Raul G Nogueira
- Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
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Peultier AC, Pandya A, Sharma R, Severens JL, Redekop WK. Cost-effectiveness of Mechanical Thrombectomy More Than 6 Hours After Symptom Onset Among Patients With Acute Ischemic Stroke. JAMA Netw Open 2020; 3:e2012476. [PMID: 32840620 PMCID: PMC7448828 DOI: 10.1001/jamanetworkopen.2020.12476] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
IMPORTANCE Two 2018 randomized controlled trials (DAWN and DEFUSE 3) demonstrated the clinical benefit of mechanical thrombectomy (MT) more than 6 hours after onset in acute ischemic stroke (AIS). Health-economic evidence is needed to determine whether the short-term health benefits of late MT translate to a cost-effective option during a lifetime in the United States. OBJECTIVE To compare the cost-effectiveness of 2 strategies (MT added to standard medical care [SMC] vs SMC alone) for various subgroups of patients with AIS receiving care more than 6 hours after symptom onset. DESIGN, SETTING, AND PARTICIPANTS This economic evaluation study used the results of the DAWN and DEFUSE 3 trials to populate a cost-effectiveness model from a US health care perspective combining a decision tree and Markov trace. The DAWN and DEFUSE 3 trials enrolled 206 international patients from 2014 to 2017 and 182 US patients from 2016 to 2017, respectively. Patients were followed until 3 months after stroke. The clinical outcome at 3 months was available for 29 subgroups of patients with AIS and anterior circulation large vessel occlusions. Data analysis was conducted from July 2018 to October 2019. EXPOSURES MT with SMC in the extended treatment window vs SMC alone. MAIN OUTCOMES AND MEASURES Expected costs and quality-adjusted life-years (QALYs) during lifetime were estimated. Deterministic results (incremental costs and effectiveness, incremental cost-effectiveness ratios, and net monetary benefit) were presented, and probabilistic analyses were performed for the total populations and 27 patient subgroups. RESULTS In the DAWN study, the MT group had a mean (SD) age of 69.4 (14.1) years and 42 of 107 (39.3%) were men, and the control group had a mean (SD) age of 70.7 (13.2) years and 51 of 99 (51.5%) were men. In the DEFUSE 3 study, the MT group had a median (interquartile range) age of 70 (59-79) years, and 46 of 92 (50.0%) were men, and the control group had a median (interquartile range) age of 71 (59-80) years, and 44 of 90 (48.9%) were men. For the total trial population, incremental cost-effectiveness ratios were $662/QALY and $13 877/QALY based on the DAWN and DEFUSE 3 trials, respectively. MT with SMC beyond 6 hours had a probability greater than 99.9% of being cost-effective vs SMC alone at a willingness-to-pay threshold of $100 000/QALY. Subgroup analyses showed a wide range of probabilities for MT with SMC to be cost-effective at a willingness-to-pay threshold of $50 000/QALY, with the greatest uncertainty observed for patients with a National Institute of Health Stroke Scale score of at least 16 and for those aged 80 years or older. CONCLUSIONS AND RELEVANCE The results of this study suggest that late MT added to SMC is cost-effective in all subgroups evaluated in the DAWN and DEFUSE 3 trials, with most results being robust in probabilistic sensitivity analyses. Future MT evidence-gathering could focus on older patients and those with National Institute of Health Stroke Scale scores of 16 and greater.
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Affiliation(s)
- Anne-Claire Peultier
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Ankur Pandya
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Richa Sharma
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut
| | - Johan L. Severens
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - W. Ken Redekop
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, the Netherlands
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Sexton E, Merriman NA, Donnelly NA, Wren MA, Hickey A, Bennett KE. Poststroke Cognitive Impairment in Model-Based Economic Evaluation: A Systematic Review. Dement Geriatr Cogn Disord 2020; 48:234-240. [PMID: 32187606 DOI: 10.1159/000506283] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 01/30/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Cognitive impairment (CI) is a frequent consequence of stroke and is associated with increased costs and reduced quality of life. However, its inclusion in model-based economic evaluation for stroke is limited. OBJECTIVE To identify, review, and critically appraise current models of stroke for use in economic evaluation, and to identify applicability to modeling poststroke CI. METHODS PubMed, EMBASE, and the NHS Economic Evaluations Database (NHS EED) were systematically searched for papers published from January 2008 to August 2018. Studies that described the development or design of a model of stroke progression intended for use in economic evaluation were included. Abstracts were screened, followed by full text review of potentially relevant articles. Models that included CI were retained for data extraction, and among the remainder, models that included both stroke recurrence and disability were also retained. Relevance and potential for adaptation for modeling CI were assessed using a standard questionnaire. RESULTS Forty modeling studies were identified and categorized into 4 groups: Markov disability/recurrence (k = 29); CI (k = 2); discrete event simulation (k = 4), and other (k = 5). Only 2 modeling studies included CI as an outcome, and both focused on narrow populations at risk of intracranial aneurysm. None of the models allowed for disease progression in the absence of a stroke recurrence. None of the included studies carried out any sensitivity analysis in relation to model design or structure. CONCLUSIONS Current stroke models used in economic evaluation are not adequate to model poststroke CI or dementia, and will require adaptation to be used for this purpose.
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Affiliation(s)
- Eithne Sexton
- Department of Health Psychology, Royal College of Surgeons in Ireland, Dublin, Ireland,
| | - Niamh A Merriman
- Department of Health Psychology, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Nora-Ann Donnelly
- Social Research Division, Economic and Social Research Institute, Dublin, Ireland
| | - Maev-Ann Wren
- Social Research Division, Economic and Social Research Institute, Dublin, Ireland
| | - Anne Hickey
- Department of Health Psychology, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Kathleen E Bennett
- Division of Population Health Science, Royal College of Surgeons in Ireland, Dublin, Ireland
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Diagnostic imaging in the management of patients with possible cerebral venous thrombosis: a cost-effectiveness analysis. Neuroradiology 2019; 61:1155-1163. [DOI: 10.1007/s00234-019-02252-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 06/21/2019] [Indexed: 10/26/2022]
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El-Tawil S, Wardlaw J, Ford I, Mair G, Robinson T, Kalra L, Muir KW. Penumbra and re-canalization acute computed tomography in ischemic stroke evaluation: PRACTISE study protocol. Int J Stroke 2017; 12:671-678. [PMID: 28730951 DOI: 10.1177/1747493017696099] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Rationale Multimodal imaging, including computed tomography angiography and computed tomography perfusion imaging, yields additional information on intracranial vessels and brain perfusion and can differentiate between ischemic core and penumbra which may affect patient selection for intravenous thrombolysis. Hypothesis The use of multimodal imaging will increase the number of patients receiving intravenous thrombolysis and lead to better treatment outcomes. Sample size 400 patients. Methods and design PRACTISE is a prospective, multicenter, randomized, controlled trial in which patients presenting within 4.5 h of symptom onset are randomized to either the current evidence-based imaging (NCCT alone) or additional multimodal computed tomography imaging (NCCT + computed tomography angiography + computed tomography perfusion). Clinical decisions on intravenous recombinant tissue plasminogen activator are documented. Total imaging time in both arms and time to initiation of treatment delivery in those treated with intravenous recombinant tissue plasminogen activator, is recorded. Follow-up will include brain imaging at 24 h to document infarct size, the presence of edema and the presence of intra-cerebral hemorrhage. Clinical evaluations include NIHSS score at baseline, 24 h and day 7 ± 2, and mRS at day 90 to define functional outcomes. Study outcomes The primary outcome is the proportion of patients receiving intravenous recombinant tissue plasminogen activator. Secondary end-points evaluate times to decision-making, comparison of different image processing software and clinical outcomes at three months. Discussion Multimodal computed tomography is a widely available tool for patient selection for revascularization therapy, but it is currently unknown whether the use of additional imaging in all stroke patients is beneficial. The study opened for recruitment in March 2015 and will provide data on the value of multimodal imaging in treatment decisions for acute stroke.
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Affiliation(s)
- Salwa El-Tawil
- 1 Institute of Neuroscience & Psychology, Queen Elizabeth University Hospital, University of Glasgow, Glasgow, UK
| | - Joanna Wardlaw
- 2 Division of Neuroimaging Sciences, Western General Hospital, Edinburgh, University of Edinburgh, Edinburgh, UK
| | - Ian Ford
- 3 Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Grant Mair
- 2 Division of Neuroimaging Sciences, Western General Hospital, Edinburgh, University of Edinburgh, Edinburgh, UK
| | - Tom Robinson
- 4 Department of Cardiovascular Sciences, Ageing and Stroke Medicine Group, University of Leicester, Leicester, UK
| | - Lalit Kalra
- 5 Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK
| | - Keith W Muir
- 1 Institute of Neuroscience & Psychology, Queen Elizabeth University Hospital, University of Glasgow, Glasgow, UK
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Luby M, Warach SJ, Albers GW, Baron JC, Cognard C, Dávalos A, Donnan GA, Fiebach JB, Fiehler J, Hacke W, Lansberg MG, Liebeskind DS, Mattle HP, Oppenheim C, Schellinger PD, Wardlaw JM, Wintermark M. Identification of imaging selection patterns in acute ischemic stroke patients and the influence on treatment and clinical trial enrollment decision making. Int J Stroke 2017; 11:180-90. [PMID: 26783309 DOI: 10.1177/1747493015616634] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE For the STroke Imaging Research (STIR) and VISTA-Imaging Investigators The purpose of this study was to collect precise information on the typical imaging decisions given specific clinical acute stroke scenarios. Stroke centers worldwide were surveyed regarding typical imaging used to work up representative acute stroke patients, make treatment decisions, and willingness to enroll in clinical trials. METHODS STroke Imaging Research and Virtual International Stroke Trials Archive-Imaging circulated an online survey of clinical case vignettes through its website, the websites of national professional societies from multiple countries as well as through email distribution lists from STroke Imaging Research and participating societies. Survey responders were asked to select the typical imaging work-up for each clinical vignette presented. Actual images were not presented to the survey responders. Instead, the survey then displayed several types of imaging findings offered by the imaging strategy, and the responders selected the appropriate therapy and whether to enroll into a clinical trial considering time from onset, clinical presentation, and imaging findings. A follow-up survey focusing on 6 h from onset was conducted after the release of the positive endovascular trials. RESULTS We received 548 responses from 35 countries including 282 individual centers; 78% of the centers originating from Australia, Brazil, France, Germany, Spain, United Kingdom, and United States. The specific onset windows presented influenced the type of imaging work-up selected more than the clinical scenario. Magnetic Resonance Imaging usage (27-28%) was substantial, in particular for wake-up stroke. Following the release of the positive trials, selection of perfusion imaging significantly increased for imaging strategy. CONCLUSIONS Usage of vascular or perfusion imaging by Computed Tomography or Magnetic Resonance Imaging beyond just parenchymal imaging was the primary work-up (62-87%) across all clinical vignettes and time windows. Perfusion imaging with Computed Tomography or Magnetic Resonance Imaging was associated with increased probability of enrollment into clinical trials for 0-3 h. Following the release of the positive endovascular trials, selection of endovascular only treatment for 6 h increased across all clinical vignettes.
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Affiliation(s)
- Marie Luby
- National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA Department of Neurology and Neurotherapeutics, Seton/UT Southwestern Clinical Research Institute of Austin, UT Southwestern Medical Center, Austin, TX, USA
| | - Steven J Warach
- Dell Medical School, University of Texas Austin, Austin, TX, USA
| | | | - Jean-Claude Baron
- INSERM U894, Centre Hospitalier Sainte-Anne, Sorbonne Paris Cité, Paris, France Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | | | - Antoni Dávalos
- Hospital Universitari Germans Trias I Pujol, Badalona, Spain
| | - Geoffrey A Donnan
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
| | - Jochen B Fiebach
- Academic Neuroradiology, Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Jens Fiehler
- University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Werner Hacke
- Department of Neurology, University of Heidelberg, Heidelberg, Germany
| | | | | | | | - Catherine Oppenheim
- Université Paris-Descartes, Sorbonne Paris Cité, Hôpital Sainte-Anne, INSERM U 894, Paris, France
| | | | - Joanna M Wardlaw
- Division of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Max Wintermark
- Stanford University School of Medicine, Stanford, CA, USA Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
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Kasasbeh AS, Christensen S, Straka M, Mishra N, Mlynash M, Bammer R, Albers GW, Lansberg MG. Optimal Computed Tomographic Perfusion Scan Duration for Assessment of Acute Stroke Lesion Volumes. Stroke 2016; 47:2966-2971. [PMID: 27895299 DOI: 10.1161/strokeaha.116.014177] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2016] [Revised: 08/18/2016] [Accepted: 09/06/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE The minimal scan duration needed to obtain reliable lesion volumes with computed tomographic perfusion (CTP) has not been well established in the literature. METHODS We retrospectively assessed the impact of gradual truncation of the scan duration on acute ischemic lesion volume measurements. For each scan, we identified its optimal scan time, defined as the shortest scan duration that yields measurements of the ischemic lesion volumes similar to those obtained with longer scanning, and the relative height of the fitted venous output function at its optimal scan time. RESULTS We analyzed 70 computed tomographic perfusion scans of acute stroke patients. An optimal scan time could not be determined in 11 scans (16%). For the other 59 scans, the median optimal scan time was 32.7 seconds (90th percentile 52.6 seconds; 100th percentile 68.9 seconds), and the median relative height of the fitted venous output function at the optimal scan times was 0.39 (90th percentile 0.02; 100th percentile 0.00). On the basis of a linear model, the optimal scan time was T0 plus 1.6 times the width of the venous output function (P<0.001; R2=0.49). CONCLUSIONS This study shows how the optimal duration of a computed tomographic perfusion scan relates to the arrival time and width of the contrast bolus. This knowledge can be used to optimize computed tomographic perfusion scan protocols and to determine whether a scan is of sufficient duration. Provided a baseline (T0) of 10 seconds, a total scan duration of 60 to 70 seconds, which includes the entire downslope of the venous output function in most patients, is recommended.
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Affiliation(s)
- Aimen S Kasasbeh
- From the Stanford Stroke Center, Stanford University Medical Center, Palo Alto, CA
| | - Søren Christensen
- From the Stanford Stroke Center, Stanford University Medical Center, Palo Alto, CA
| | - Matus Straka
- From the Stanford Stroke Center, Stanford University Medical Center, Palo Alto, CA
| | - Nishant Mishra
- From the Stanford Stroke Center, Stanford University Medical Center, Palo Alto, CA
| | - Michael Mlynash
- From the Stanford Stroke Center, Stanford University Medical Center, Palo Alto, CA
| | - Roland Bammer
- From the Stanford Stroke Center, Stanford University Medical Center, Palo Alto, CA
| | - Gregory W Albers
- From the Stanford Stroke Center, Stanford University Medical Center, Palo Alto, CA
| | - Maarten G Lansberg
- From the Stanford Stroke Center, Stanford University Medical Center, Palo Alto, CA.
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11
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Meagher R, Shankar JJS. CT Perfusion in Acute Stroke: "Black Holes" on Time-to-Peak Image Maps Indicate Unsalvageable Brain. J Neuroimaging 2016; 26:605-611. [PMID: 27171598 DOI: 10.1111/jon.12352] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Revised: 03/16/2016] [Accepted: 03/23/2016] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND PURPOSE CT perfusion is becoming important in acute stroke imaging to determine optimal patient-management strategies. The purpose of this study was to examine the predictive value of time-to-peak image maps and, specifically, a phenomenon coined a "black hole" for assessing infarcted brain tissue at the time of scan. METHODS Acute stroke patients were screened for the presence of black holes and their follow-up imaging (noncontrast CT or MR) was reviewed to assess for infarcted brain tissue. RESULTS Of the 23 patients with signs of acute ischemia on CT perfusion, all had black holes. The black holes corresponded with areas of infarcted brain on follow-up imaging (specificity 100%). Black holes demonstrated significantly lower cerebral blood volumes (P < .001) and cerebral blood flow (P < .001) compared to immediately adjacent tissue. CONCLUSIONS Black holes on time-to-peak image maps represent areas of unsalvageable brain.
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Affiliation(s)
- Ruairi Meagher
- QEII Health Sciences Centre, Victoria General Hospital, NS, B3H 2Y9, Canada
| | - Jai Jai Shiva Shankar
- Department of Diagnostic Radiology, QEII Health Sciences Centre, NS B3H 3A7, Canada.
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12
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Beyer SE, Hunink MG, Schöberl F, von Baumgarten L, Petersen SE, Dichgans M, Janssen H, Ertl-Wagner B, Reiser MF, Sommer WH. Different Imaging Strategies in Patients With Possible Basilar Artery Occlusion: Cost-Effectiveness Analysis. Stroke 2015; 46:1840-9. [PMID: 26022634 PMCID: PMC4476845 DOI: 10.1161/strokeaha.115.008841] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2015] [Accepted: 04/02/2015] [Indexed: 01/21/2023]
Abstract
BACKGROUND AND PURPOSE This study evaluated the cost-effectiveness of different noninvasive imaging strategies in patients with possible basilar artery occlusion. METHODS A Markov decision analytic model was used to evaluate long-term outcomes resulting from strategies using computed tomographic angiography (CTA), magnetic resonance imaging, nonenhanced CT, or duplex ultrasound with intravenous (IV) thrombolysis being administered after positive findings. The analysis was performed from the societal perspective based on US recommendations. Input parameters were derived from the literature. Costs were obtained from United States costing sources and published literature. Outcomes were lifetime costs, quality-adjusted life-years (QALYs), incremental cost-effectiveness ratios, and net monetary benefits, with a willingness-to-pay threshold of $80,000 per QALY. The strategy with the highest net monetary benefit was considered the most cost-effective. Extensive deterministic and probabilistic sensitivity analyses were performed to explore the effect of varying parameter values. RESULTS In the reference case analysis, CTA dominated all other imaging strategies. CTA yielded 0.02 QALYs more than magnetic resonance imaging and 0.04 QALYs more than duplex ultrasound followed by CTA. At a willingness-to-pay threshold of $80,000 per QALY, CTA yielded the highest net monetary benefits. The probability that CTA is cost-effective was 96% at a willingness-to-pay threshold of $80,000/QALY. Sensitivity analyses showed that duplex ultrasound was cost-effective only for a prior probability of ≤0.02 and that these results were only minimally influenced by duplex ultrasound sensitivity and specificity. Nonenhanced CT and magnetic resonance imaging never became the most cost-effective strategy. CONCLUSIONS Our results suggest that CTA in patients with possible basilar artery occlusion is cost-effective.
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Affiliation(s)
- Sebastian E Beyer
- From the Institute of Clinical Radiology (S.E.B., B.E.-W., M.F.R., W.H.S.), Department of Neurology (F.S., L.B.), Institute for Stroke and Dementia Research (M.D.), and Department of Neuroradiology (H.J.), Ludwig-Maximilian University of Munich Hospitals, Munich, Germany; Advanced Cardiovascular Imaging, William Harvey Research Institute, National Institute for Health Research, Cardiovascular Biomedical Research Unit at Barts, The London Chest Hospital, London, United Kingdom (S.E.P.); Department of Radiology (M.G.H.) and Department of Epidemiology (M.G.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Department of Health Policy and Management, Harvard School of Public Health, Harvard University, Boston, MA (M.G.H.)
| | - Myriam G Hunink
- From the Institute of Clinical Radiology (S.E.B., B.E.-W., M.F.R., W.H.S.), Department of Neurology (F.S., L.B.), Institute for Stroke and Dementia Research (M.D.), and Department of Neuroradiology (H.J.), Ludwig-Maximilian University of Munich Hospitals, Munich, Germany; Advanced Cardiovascular Imaging, William Harvey Research Institute, National Institute for Health Research, Cardiovascular Biomedical Research Unit at Barts, The London Chest Hospital, London, United Kingdom (S.E.P.); Department of Radiology (M.G.H.) and Department of Epidemiology (M.G.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Department of Health Policy and Management, Harvard School of Public Health, Harvard University, Boston, MA (M.G.H.)
| | - Florian Schöberl
- From the Institute of Clinical Radiology (S.E.B., B.E.-W., M.F.R., W.H.S.), Department of Neurology (F.S., L.B.), Institute for Stroke and Dementia Research (M.D.), and Department of Neuroradiology (H.J.), Ludwig-Maximilian University of Munich Hospitals, Munich, Germany; Advanced Cardiovascular Imaging, William Harvey Research Institute, National Institute for Health Research, Cardiovascular Biomedical Research Unit at Barts, The London Chest Hospital, London, United Kingdom (S.E.P.); Department of Radiology (M.G.H.) and Department of Epidemiology (M.G.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Department of Health Policy and Management, Harvard School of Public Health, Harvard University, Boston, MA (M.G.H.)
| | - Louisa von Baumgarten
- From the Institute of Clinical Radiology (S.E.B., B.E.-W., M.F.R., W.H.S.), Department of Neurology (F.S., L.B.), Institute for Stroke and Dementia Research (M.D.), and Department of Neuroradiology (H.J.), Ludwig-Maximilian University of Munich Hospitals, Munich, Germany; Advanced Cardiovascular Imaging, William Harvey Research Institute, National Institute for Health Research, Cardiovascular Biomedical Research Unit at Barts, The London Chest Hospital, London, United Kingdom (S.E.P.); Department of Radiology (M.G.H.) and Department of Epidemiology (M.G.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Department of Health Policy and Management, Harvard School of Public Health, Harvard University, Boston, MA (M.G.H.)
| | - Steffen E Petersen
- From the Institute of Clinical Radiology (S.E.B., B.E.-W., M.F.R., W.H.S.), Department of Neurology (F.S., L.B.), Institute for Stroke and Dementia Research (M.D.), and Department of Neuroradiology (H.J.), Ludwig-Maximilian University of Munich Hospitals, Munich, Germany; Advanced Cardiovascular Imaging, William Harvey Research Institute, National Institute for Health Research, Cardiovascular Biomedical Research Unit at Barts, The London Chest Hospital, London, United Kingdom (S.E.P.); Department of Radiology (M.G.H.) and Department of Epidemiology (M.G.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Department of Health Policy and Management, Harvard School of Public Health, Harvard University, Boston, MA (M.G.H.)
| | - Martin Dichgans
- From the Institute of Clinical Radiology (S.E.B., B.E.-W., M.F.R., W.H.S.), Department of Neurology (F.S., L.B.), Institute for Stroke and Dementia Research (M.D.), and Department of Neuroradiology (H.J.), Ludwig-Maximilian University of Munich Hospitals, Munich, Germany; Advanced Cardiovascular Imaging, William Harvey Research Institute, National Institute for Health Research, Cardiovascular Biomedical Research Unit at Barts, The London Chest Hospital, London, United Kingdom (S.E.P.); Department of Radiology (M.G.H.) and Department of Epidemiology (M.G.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Department of Health Policy and Management, Harvard School of Public Health, Harvard University, Boston, MA (M.G.H.)
| | - Hendrik Janssen
- From the Institute of Clinical Radiology (S.E.B., B.E.-W., M.F.R., W.H.S.), Department of Neurology (F.S., L.B.), Institute for Stroke and Dementia Research (M.D.), and Department of Neuroradiology (H.J.), Ludwig-Maximilian University of Munich Hospitals, Munich, Germany; Advanced Cardiovascular Imaging, William Harvey Research Institute, National Institute for Health Research, Cardiovascular Biomedical Research Unit at Barts, The London Chest Hospital, London, United Kingdom (S.E.P.); Department of Radiology (M.G.H.) and Department of Epidemiology (M.G.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Department of Health Policy and Management, Harvard School of Public Health, Harvard University, Boston, MA (M.G.H.)
| | - Birgit Ertl-Wagner
- From the Institute of Clinical Radiology (S.E.B., B.E.-W., M.F.R., W.H.S.), Department of Neurology (F.S., L.B.), Institute for Stroke and Dementia Research (M.D.), and Department of Neuroradiology (H.J.), Ludwig-Maximilian University of Munich Hospitals, Munich, Germany; Advanced Cardiovascular Imaging, William Harvey Research Institute, National Institute for Health Research, Cardiovascular Biomedical Research Unit at Barts, The London Chest Hospital, London, United Kingdom (S.E.P.); Department of Radiology (M.G.H.) and Department of Epidemiology (M.G.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Department of Health Policy and Management, Harvard School of Public Health, Harvard University, Boston, MA (M.G.H.)
| | - Maximilian F Reiser
- From the Institute of Clinical Radiology (S.E.B., B.E.-W., M.F.R., W.H.S.), Department of Neurology (F.S., L.B.), Institute for Stroke and Dementia Research (M.D.), and Department of Neuroradiology (H.J.), Ludwig-Maximilian University of Munich Hospitals, Munich, Germany; Advanced Cardiovascular Imaging, William Harvey Research Institute, National Institute for Health Research, Cardiovascular Biomedical Research Unit at Barts, The London Chest Hospital, London, United Kingdom (S.E.P.); Department of Radiology (M.G.H.) and Department of Epidemiology (M.G.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Department of Health Policy and Management, Harvard School of Public Health, Harvard University, Boston, MA (M.G.H.)
| | - Wieland H Sommer
- From the Institute of Clinical Radiology (S.E.B., B.E.-W., M.F.R., W.H.S.), Department of Neurology (F.S., L.B.), Institute for Stroke and Dementia Research (M.D.), and Department of Neuroradiology (H.J.), Ludwig-Maximilian University of Munich Hospitals, Munich, Germany; Advanced Cardiovascular Imaging, William Harvey Research Institute, National Institute for Health Research, Cardiovascular Biomedical Research Unit at Barts, The London Chest Hospital, London, United Kingdom (S.E.P.); Department of Radiology (M.G.H.) and Department of Epidemiology (M.G.H.), Erasmus University Medical Center, Rotterdam, The Netherlands; and Department of Health Policy and Management, Harvard School of Public Health, Harvard University, Boston, MA (M.G.H.).
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Mayo-Smith WW, Hara AK, Mahesh M, Sahani DV, Pavlicek W. How I Do It: Managing Radiation Dose in CT. Radiology 2014; 273:657-72. [PMID: 25420167 DOI: 10.1148/radiol.14132328] [Citation(s) in RCA: 125] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- William W Mayo-Smith
- From the Department of Radiology, Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI (W.W.M.); Department of Radiology, Mayo Clinic Arizona, Scottsdale, Ariz (A.K.H., W.P.); Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (M.M.); and Department of Abdominal Imaging/Intervention, Massachusetts General Hospital, Boston, Mass (D.V.S.)
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14
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Simpson KN, Simpson AN, Mauldin PD, Hill MD, Yeatts SD, Spilker JA, Foster LD, Khatri P, Martin R, Jauch EC, Kleindorfer D, Palesch YY, Broderick JP. Drivers of costs associated with reperfusion therapy in acute stroke: the Interventional Management of Stroke III Trial. Stroke 2014; 45:1791-8. [PMID: 24876261 DOI: 10.1161/strokeaha.113.003874] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND AND PURPOSE The Interventional Management of Stroke (IMS) III study tested the effect of intravenous tissue-type plasminogen activator (tPA) alone when compared with intravenous tPA followed by endovascular therapy and collected cost data to assess the economic implications of the 2 therapies. This report describes the factors affecting the costs of the initial hospitalization for acute stroke subjects from the United States. METHODS Prospective cost analysis of the US subjects was treated with intravenous tPA alone or with intravenous tPA followed by endovascular therapy in the IMS III trial. Results were compared with expected Medicare payments. RESULTS The adjusted cost of a stroke admission in the study was $35 130 for subjects treated with endovascular therapy after intravenous tPA treatment and $25 630 for subjects treated with intravenous tPA alone (P<0.0001). Significant factors related to costs included treatment group, baseline National Institutes of Health Stroke Scale, time from stroke onset to intravenous tPA, age, stroke location, and comorbid diabetes mellitus. The mean cost for subjects who had routine use of general anesthesia as part of endovascular therapy was $46 444 when compared with $30 350 for those who did not have general anesthesia. The costs of embolectomy for IMS III subjects and patients from the National Inpatient Sample cohort exceeded the Medicare diagnosis-related group payment in ≥75% of patients. CONCLUSIONS Minimizing the time to start of intravenous tPA and decreasing the use of routine general anesthesia may improve the cost-effectiveness of medical and endovascular therapy for acute stroke. CLINICAL TRIAL REGISTRATION URL http://www.clinicaltrials.gov. Unique identifier: NCT00359424.
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Affiliation(s)
- Kit N Simpson
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston.
| | - Annie N Simpson
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston
| | - Patrick D Mauldin
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston
| | - Michael D Hill
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston
| | - Sharon D Yeatts
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston
| | - Judith A Spilker
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston
| | - Lydia D Foster
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston
| | - Pooja Khatri
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston
| | - Renee Martin
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston
| | - Edward C Jauch
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston
| | - Dawn Kleindorfer
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston
| | - Yuko Y Palesch
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston
| | - Joseph P Broderick
- From the Department of Neurology and Rehabilitation Medicine, University of Cincinnati Academic Health Center, OH (J.P.B., D.K., P.K., J.A.S.); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada (M.D.H.); and Department of Healthcare Leadership and Management (K.N.S., A.N.S.), Department of General Internal Medicine (P.D.M.), Department of Public Health Sciences (S.D.Y., L.D.F., R.M., Y.Y.P.), Department of Emergency Medicine (E.C.J.), Medical University of South Carolina, Charleston
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15
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Burton KR, Perlis N, Aviv RI, Moody AR, Kapral MK, Krahn MD, Laupacis A. Systematic review, critical appraisal, and analysis of the quality of economic evaluations in stroke imaging. Stroke 2014; 45:807-14. [PMID: 24519409 DOI: 10.1161/strokeaha.113.004027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE This study reviews the quality of economic evaluations of imaging after acute stroke and identifies areas for improvement. METHODS We performed full-text searches of electronic databases that included Medline, Econlit, the National Health Service Economic Evaluation Database, and the Tufts Cost Effectiveness Analysis Registry through July 2012. Search strategy terms included the following: stroke*; cost*; or cost-benefit analysis*; and imag*. Inclusion criteria were empirical studies published in any language that reported the results of economic evaluations of imaging interventions for patients with stroke symptoms. Study quality was assessed by a commonly used checklist (with a score range of 0% to 100%). RESULTS Of 568 unique potential articles identified, 5 were included in the review. Four of 5 articles were explicit in their analysis perspectives, which included healthcare system payers, hospitals, and stroke services. Two studies reported results during a 5-year time horizon, and 3 studies reported lifetime results. All included the modified Rankin Scale score as an outcome measure. The median quality score was 84.4% (range=71.9%-93.5%). Most studies did not consider the possibility that patients could not tolerate contrast media or could incur contrast-induced nephropathy. Three studies compared perfusion computed tomography with unenhanced computed tomography but assumed that outcomes guided by the results of perfusion computed tomography were equivalent to outcomes guided by the results of magnetic resonance imaging or noncontrast computed tomography. CONCLUSIONS Economic evaluations of imaging modalities after acute ischemic stroke were generally of high methodological quality. However, important radiology-specific clinical components were missing from all of these analyses.
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Affiliation(s)
- Kirsteen R Burton
- From the Institute of Health Policy, Management and Evaluation (K.R.B., N.P., M.K.K., M.D.K., A.L.), Departments of Medical Imaging (K.R.B., R.I.A., A.R.M.), Surgery, Division of Urology (N.P.), Institute of Medical Science (R.I.A., A.R.M.), Medicine (M.K.K., M.D.K., A.L.), and Toronto Health Economics and Technology Assessment Collaborative (M.D.K.), University of Toronto, Toronto, ON, Canada; Institute for Clinical and Evaluative Sciences, Toronto, ON, Canada (M.K.K.); and Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada (A.L.)
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16
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Te Ao B, Brown P, Fink J, Vivian M, Feigin V. Potential gains and costs from increasing access to thrombolysis for acute ischemic stroke patients in New Zealand hospitals. Int J Stroke 2013; 10:903-10. [PMID: 24206567 DOI: 10.1111/ijs.12152] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND AND AIM Treatment of ischemic stroke patients with tissue-type plasminogen activator (tPA) is known to be effective and cost-effective, yet the percentage of patients treated with thrombolysis in hospitals remains low. The purpose of this study is to examine whether providing thrombolysis in New Zealand hospitals is currently cost-effective and to estimate the amount that might be spent on campaigns aimed at increasing thrombolysis receipt rates. METHODS A decision-analytic model was developed and populated using health services data from the literature and the Auckland Regional Community Stroke Outcome Study. The cost-utilities of providing thrombolysis over one-year and patient lifetime were estimated. Using a threshold of NZ$20 000 (US$15 337) per quality-adjusted life year, the analysis identified the maximum amount that might be spent on campaigns aiming to increase rates of receipt of thrombolysis above their current levels. Monte Carlo simulations and probabilistic sensitivity analysis explored the robustness of the findings. RESULTS Providing thrombolysis was cost-effective, especially when long-term costs and effects were considered (NZ$6641 or US$5093 per quality-adjusted life year). The results suggest that better management within hospitals would be more effective in increasing thrombolysis receipt rates (up to 17%) than campaigns aiming at higher awareness of stroke symptoms in the community. The amount that might be spent on a national campaign to increase rate of receipt of thrombolysis from its current level (3% of eligible patients) depended upon the effectiveness of the campaign, ranging from under NZ$6 million for New Zealand for an increase in rate to 30% to over $9 million for an increase in rate to 50%. CONCLUSION While thrombolysis is a cost-effective treatment in New Zealand, resources should be devoted to campaigns, both within hospitals and in the community, to increase coverage.
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Affiliation(s)
- Braden Te Ao
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Paul Brown
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.,School of Social Science, Humanities and Arts, University of California, Merced, CA, USA
| | - John Fink
- Department of Neurology, Canterbury District Health Board, Christchurch, New Zealand
| | - Mark Vivian
- New Zealand Stroke Foundation, Wellington, New Zealand
| | - Valery Feigin
- National Institute for Stroke and Applied Neurosciences, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
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Kheradmand A, Fisher M, Paydarfar D. Ischemic stroke in evolution: predictive value of perfusion computed tomography. J Stroke Cerebrovasc Dis 2013; 23:836-43. [PMID: 23954606 DOI: 10.1016/j.jstrokecerebrovasdis.2013.07.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2013] [Accepted: 07/07/2013] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Various perfusion computed tomography (PCT) parameters have been used to identify tissue at risk of infarction in the setting of acute stroke. The purpose of this study was to examine predictive value of the PCT parameters commonly used in clinical practice to define ischemic penumbra. The patient selection criterion aimed to exclude the effect of thrombolysis from the imaging data. METHODS Consecutive acute stroke patients were screened and a total of 18 patients who initially underwent PCT and CT angiogram (CTA) on presentation but did not qualify to receive thrombolytic therapy were selected. The PCT images were postprocessed using a delay-sensitive deconvolution algorithm. All the patients had follow-up noncontrast CT or magnetic resonance imaging to delineate the extent of their infarction. The extent of lesions on PCT maps calculated from mean transit time (MTT), time to peak (TTP), cerebral blood flow, and cerebral blood volume were compared and correlated with the final infarct size. A collateral grading score was used to measure collateral blood supply on the CTA studies. RESULTS The average size of MTT lesions was larger than infarct lesions (P < .05). The correlation coefficient of TTP/infarct lesions (r = .95) was better than MTT/infarct lesions (r = .66) (P = .004). CONCLUSIONS A widely accepted threshold to define MTT lesions overestimates the ischemic penumbra. In this setting, TTP with appropriate threshold is a better predictor of infarct in acute stroke patients. The MTT/TTP mismatch correlates with the status of collateral blood supply to the tissue at risk of infarction.
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Affiliation(s)
- Amir Kheradmand
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
| | - Marc Fisher
- Department of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts
| | - David Paydarfar
- Department of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts
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Tolou-Ghamari Z, Shaygannejad V, Khorvash F. Preliminary investigation of economics issues in hospitalized patients with stroke. Int J Prev Med 2013; 4:S338-42. [PMID: 23776748 PMCID: PMC3678242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2013] [Accepted: 02/27/2013] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The study of economics is important in Iranian stroke patients, because it is one of the costly diseases that could be linked to disability, mortality, and morbidity. The aim of this preliminary study was to investigate total treatment costs of hospitalized patients with stroke. METHODS A cross-sectional study of 24 patients conducted to Isfahan Neurosciences Research Centre was carried out between April 1, 2012 and September 31, 2012. Demographic (sex, age) and economic variables (Raise tariffs, accumulated surplus, the total amount, of patients', patients' paid, and home insurance contribution) were extracted from the patients' profiles. All information recorded and processed using Excel. RESULTS The mean age of patients was 71 years (ranged; 40-93 years old). Preliminary analysis of available costs issues could be described as: Raise tariffs (mean: 3500256 Rial, ranged: 504460-9775455 Rial), accumulated surplus (mean: 565578 Rial, ranged: 56700-2343664 Rial), the total amount (mean: 4045556 Rial, ranged: 715460-12219119 Rial), of patients' (mean: 756037 Rial, ranged: 0-8365447 Rial), patients' paid (mean: 1307762 Rial, ranged: 45300-9193000 Rial), and home insurance contribution (mean: 3070713 Rial, ranged 0-8887907 Rial). CONCLUSIONS The cost disparity within this study after stroke could be mainly connected to variations in duration of hospital stay. Inspecting agenda towards this direction could reduce the economic cost of stroke significantly. Therefore, further assessment correlated to attain strategies in order to reduce costs associated to patients' paid and home insurance contribution could be much more advantageous.
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Affiliation(s)
- Zahra Tolou-Ghamari
- Isfahan Neurosciences Research Centre, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran,Correspondence to: Dr. Zahra Tolou-Ghamari, Isfahan Neurosciences Research Center, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran. E-mail:
| | - Vahid Shaygannejad
- Department of Neurology, Isfahan Neurosciences Research Centre, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Fariborz Khorvash
- Department of Neurology, Isfahan Neurosciences Research Centre, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
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Jethwa PR, Punia V, Patel TD, Duffis EJ, Gandhi CD, Prestigiacomo CJ. Cost-Effectiveness of Digital Subtraction Angiography in the Setting of Computed Tomographic Angiography Negative Subarachnoid Hemorrhage. Neurosurgery 2013; 72:511-9; discussion 519. [DOI: 10.1227/neu.0b013e318282a578] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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Lev MH. Perfusion Imaging of Acute Stroke: Its Role in Current and Future Clinical Practice. Radiology 2013; 266:22-7. [DOI: 10.1148/radiol.12121355] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Earnshaw SR, McDade C, Chapman AM, Jackson D, Schwamm L. Economic Impact of Using Additional Diagnostic Tests to Better Select Patients With Stroke for Intravenous Thrombolysis in the United Kingdom. Clin Ther 2012; 34:1544-58. [DOI: 10.1016/j.clinthera.2012.05.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2012] [Revised: 05/10/2012] [Accepted: 05/14/2012] [Indexed: 10/28/2022]
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Fox AJ, Symons SP, Howard P, Yeung R, Aviv RI. Acute stroke imaging: CT with CT angiography and CT perfusion before management decisions. AJNR Am J Neuroradiol 2012; 33:792-4. [PMID: 22442040 DOI: 10.3174/ajnr.a3099] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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García-Bermejo P, Calleja AI, Pérez-Fernández S, Cortijo E, del Monte JM, García-Porrero M, Fe Muñoz M, Fernández-Herranz R, Arenillas JF. Perfusion Computed Tomography-Guided Intravenous Thrombolysis for Acute Ischemic Stroke beyond 4.5 Hours: A Case-Control Study. Cerebrovasc Dis 2012; 34:31-7. [DOI: 10.1159/000338778] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2012] [Accepted: 04/02/2012] [Indexed: 11/19/2022] Open
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Agarwal S, Jones P, Alawneh J, Antoun N, Barry P, Carrera E, Cotter P, O’Brien E, Salih I, Scoffings D, Baron JC, Warburton E. Does Perfusion Computed Tomography Facilitate Clinical Decision Making for Thrombolysis in Unselected Acute Patients with Suspected Ischaemic Stroke? Cerebrovasc Dis 2011; 32:227-33. [DOI: 10.1159/000329310] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2011] [Accepted: 04/29/2011] [Indexed: 11/19/2022] Open
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