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Mac Grory B, Sun JL, Alhanti B, Lusk J, Li F, Adeoye O, Furie K, Hasan D, Messe S, Sheth KN, Schwamm LH, Smith EE, Bhatt DL, Fonarow GC, Saver JL, Xian Y, Grotta J. Mobile Stroke Unit Management in Patients With Acute Ischemic Stroke Eligible for Intravenous Thrombolysis. JAMA Neurol 2024; 81:1250-1262. [PMID: 39466286 PMCID: PMC11581552 DOI: 10.1001/jamaneurol.2024.3659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 08/30/2024] [Indexed: 10/29/2024]
Abstract
Importance Clinical trials have suggested that prehospital management in a mobile stroke unit (MSU) improves functional outcomes in patients with acute ischemic stroke who are potentially eligible for intravenous thrombolysis, but there is a paucity of real-world evidence from routine clinical practice on this topic. Objective To determine the association between prehospital management in an MSU vs standard emergency medical services (EMS) management and the level of global disability at hospital discharge. Design, Setting, and Participants This was a retrospective, observational, cohort study that included consecutive patients with a final diagnosis of ischemic stroke who received either prehospital management in an MSU or standard EMS management between August 1, 2018, and January 31, 2023. Follow-up ended at hospital discharge. The primary analytic cohort included those who were potentially eligible for IV thrombolysis. A separate, overlapping cohort including all patients regardless of diagnosis was also analyzed. Patient data were obtained from the American Heart Association's Get With The Guidelines-Stroke (GWTG-Stroke) Program, a nationwide, multicenter quality assurance registry. This analysis was completed in May 2024. Exposure Prehospital management in an MSU (vs standard EMS management). Main Outcomes and Measures The primary efficacy end point was the utility-weighted modified Rankin Scale (UW-mRS) score. The secondary efficacy end point was independent ambulation status. The coprimary safety end points were symptomatic intracranial hemorrhage (sICH) and in-hospital mortality. Results Of 19 433 patients (median [IQR] age, 73 [62-83] years; 9867 female [50.8%]) treated at 106 hospitals, 1237 (6.4%) received prehospital management in an MSU. Prehospital management in an MSU was associated with a better score on the UW-mRS at discharge (adjusted mean difference, 0.03; 95% CI, 0.01-0.05) and a higher likelihood of independent ambulation at discharge (53.3% [468 of 878 patients] vs 48.3% [5868 of 12 148 patients]; adjusted risk ratio [aRR], 1.08; 95% CI, 1.03-1.13). There was no statistically significant difference in sICH (5.2% [57 of 1094] vs 4.2% [545 of 13 014]; aRR, 1.30; 95% CI, 0.94-1.75]) or in-hospital mortality (5.7% [70 of 1237] vs 6.2% [1121 of 18 196]; aRR, 1.03; 95% CI, 0.78-1.27) between the 2 groups. Conclusions and Relevance Among patients with acute ischemic stroke potentially eligible for intravenous thrombolysis, prehospital management in an MSU compared with standard EMS management was associated with a significantly lower level of global disability at hospital discharge. These findings support policy efforts to expand access to prehospital MSU management.
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Affiliation(s)
- Brian Mac Grory
- Department of Neurology, Duke University School of Medicine, Durham, North Carolina
- Duke Clinical Research Institute, Durham, North Carolina
| | - Jie-Lena Sun
- Duke Clinical Research Institute, Durham, North Carolina
| | - Brooke Alhanti
- Duke Clinical Research Institute, Durham, North Carolina
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina
| | - Jay Lusk
- Department of Neurology, Duke University School of Medicine, Durham, North Carolina
| | - Fan Li
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina
- Department of Statistical Science, Duke University School of Medicine, Durham, North Carolina
| | - Opeolu Adeoye
- Department of Emergency Medicine, Washington University, St Louis, Missouri
| | - Karen Furie
- Department of Neurology, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - David Hasan
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina
| | - Steven Messe
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - Kevin N. Sheth
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut
| | - Lee H. Schwamm
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut
| | - Eric E. Smith
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Deepak L. Bhatt
- Mount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Gregg C. Fonarow
- Department of Medicine, University of California, Los Angeles
- Ahmanson-UCLA Cardiomyopathy Center, Los Angeles, California
- Associate Section Editor, JAMA Cardiology
| | - Jeffrey L. Saver
- Department of Neurology, University of California, Los Angeles
- Associate Editor, JAMA
| | - Ying Xian
- Department of Neurology, UT Southwestern Medical Center, Dallas, Texas
- Peter O’Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, Texas
- Department of Population and Data Science, UT Southwestern Medical Center, Dallas, Texas
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Krothapalli N, Hasan D, Lusk J, Poli S, Hussain S, de Havenon A, Grotta J, Grory BM. Mobile stroke units: Beyond thrombolysis. J Neurol Sci 2024; 463:123123. [PMID: 38981417 DOI: 10.1016/j.jns.2024.123123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 07/01/2024] [Indexed: 07/11/2024]
Abstract
In the last decade, mobile stroke units (MSUs) have shown the potential to transform prehospital stroke care, marking a paradigm shift in delivering ultra-rapid thrombolysis and streamlining triage processes. These units bring acute stroke care directly to patients, significantly shortening treatment times. This review outlines the rationale for MSU care and discusses the potential applications beyond the original purpose of delivering thrombolysis, including large vessel occlusion detection, intracerebral hemorrhage management, and innovative forms of prehospital research.
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Affiliation(s)
- Neeharika Krothapalli
- Department of Neurology, University of Connecticut School of Medicine, Farmington, CT, USA.
| | - David Hasan
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC, USA; Department of Neurology, Duke University School of Medicine, Durham, NC, USA
| | - Jay Lusk
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA; Department of Internal Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Sven Poli
- Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany; Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Shazam Hussain
- Department of Neurology, Cleveland Clinic Health Foundation, Cleveland, OH, USA
| | - Adam de Havenon
- Department of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, CT, USA
| | - James Grotta
- Department of Neurology, University of Texas Health Science Center, Houston, TX, USA
| | - Brian Mac Grory
- Department of Neurology, Duke University School of Medicine, Durham, NC, USA
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Menéndez Albarracín A, Valls Carbó A, Rabaneda Lombarte N, Yugueros Baena B, Carbonell Gisbert J, Flores-Pina B, Larrañaga De Bofarull MC, Martínez Sánchez M, Hernández-Pérez M, Bustamante Rangel A, Dorado Bouix L, Gomis Cortina M, Millán Tornè M, Pérez de la Ossa N. Time of the day and season distribution among stroke code subtypes: differences between ischemic stroke, intracranial hemorrhage, and stroke mimic. Front Neurol 2024; 15:1372324. [PMID: 38595853 PMCID: PMC11002223 DOI: 10.3389/fneur.2024.1372324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 03/08/2024] [Indexed: 04/11/2024] Open
Abstract
Background Circadian variations in the timing of the onset of stroke symptoms have been described, showing a morning excess of cardiovascular risk. To date, no differences have been found between stroke subtype and time distribution throughout the day. The present study aims to compare the seasonal and circadian rhythm of symptoms onset in ischemic, hemorrhagic, and stroke mimic patients. Methods This study was conducted prospectively at a hospital and involved a cohort of stroke alert patients from 2018 to 2021. Stroke subtypes were classified as ischemic stroke, intracerebral hemorrhage (ICH), transient ischemic attack (TIA), and stroke mimic. Clinical variables were recorded, and each patient was assigned to a 4-h interval of the day according to the time of onset of symptoms; unwitnessed stroke patients were analyzed separately. Seasonal changes in stroke distribution were analyzed at 3-month intervals. Results A total of 2,348 patients were included in this analysis (ischemic 67%, ICH 13%, mimic 16%, and TIA 3%). Regardless of stroke subtype, most of the patients were distributed between 08-12 h and 12-16 h. Significant differences were found in the time distribution depending on stroke subtype, with ICH predominating in the 4-8 h period (dawn), most of which were hypertensive, TIA in the 12-16 h period (afternoon), and stroke mimic in the 20 h period (evening). The ischemic stroke was evenly distributed throughout the different periods of the day. There were no differences in the seasonal pattern between different stroke subtypes, with winter being the one that accumulated the most cases. Conclusion The present study showed different circadian patterns of stroke subtypes, with a predominance of ICH at dawn and stroke mimic in the afternoon. The stroke circadian rhythm resembles previous studies, with a higher incidence in the morning and a second peak in the afternoon.
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Rink JS, Tollens F, Tschalzev A, Bartelt C, Heinzl A, Hoffmann J, Schoenberg SO, Marzina A, Sandikci V, Wiegand C, Hoyer C, Szabo K. Establishing an MSU service in a medium-sized German urban area-clinical and economic considerations. Front Neurol 2024; 15:1358145. [PMID: 38487327 PMCID: PMC10938346 DOI: 10.3389/fneur.2024.1358145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 02/19/2024] [Indexed: 03/17/2024] Open
Abstract
Background and purpose Mobile stroke units (MSU) have been demonstrated to improve prehospital stroke care in metropolitan and rural regions. Due to geographical, social and structural idiosyncrasies of the German city of Mannheim, concepts of established MSU services are not directly applicable to the Mannheim initiative. The aim of the present analysis was to identify major determinants that need to be considered when initially setting up a local MSU service. Methods Local stroke statistics from 2015 to 2021 were analyzed and circadian distribution of strokes and local incidence rates were calculated. MSU patient numbers and total program costs were estimated for varying operating modes, daytime coverage models, staffing configurations which included several resource sharing models with the hospital. Additional case-number simulations for expanded catchment areas were performed. Results Median time of symptom onset of ischemic stroke patients was 1:00 p.m. 54.3% of all stroke patients were admitted during a 10-h time window on weekdays. Assuming that MSU is able to reach 53% of stroke patients, the average expected number of ischemic stroke patients admitted to MSU would be 0.64 in a 10-h shift each day, which could potentially be increased by expanding the MSU catchment area. Total estimated MSU costs amounted to € 815,087 per annum. Teleneurological assessment reduced overall costs by 11.7%. Conclusion This analysis provides a framework of determinants and considerations to be addressed during the design process of a novel MSU program in order to balance stroke care improvements with the sustainable use of scarce resources.
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Affiliation(s)
- Johann S. Rink
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Fabian Tollens
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Andrej Tschalzev
- Institute for Enterprise Systems, University of Mannheim, Mannheim, Germany
| | - Christian Bartelt
- Institute for Enterprise Systems, University of Mannheim, Mannheim, Germany
| | | | - Jens Hoffmann
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Stefan O. Schoenberg
- Department of Radiology and Nuclear Medicine, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Annika Marzina
- Department of Neurology, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Vesile Sandikci
- Department of Neurology, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Carla Wiegand
- Department of Neurology, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Carolin Hoyer
- Department of Neurology, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
| | - Kristina Szabo
- Department of Neurology, Medical Faculty Mannheim, Mannheim University Medical Centre, Heidelberg University, Mannheim, Germany
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Oostema JA, Nickles A, Luo Z, Reeves MJ. Emergency Medical Services Stroke Care Performance Variability in Michigan: Analysis of a Statewide Linked Stroke Registry. J Am Heart Assoc 2022; 12:e026834. [PMID: 36537345 PMCID: PMC9973590 DOI: 10.1161/jaha.122.026834] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Background Emergency medical services (EMS) compliance with recommended prehospital care for patients with acute stroke is inconsistent; however, sources of variability in compliance are not well understood. The current analysis utilizes a linkage between a statewide stroke registry and EMS information system data to explore patient and EMS agency-level contributions to variability in prehospital care. Methods and Results This is a retrospective analysis of a cohort of confirmed stroke cases transported by EMS to hospitals participating in a statewide stroke registry. Using EMS information system data, the authors quantified EMS compliance with 6 performance measures derived from national guidelines for prehospital stroke care: prehospital stroke scale performance, glucose check, stroke recognition, on-scene time ≤15 minutes, time last known well documentation, and hospital prenotification. Multilevel multivariable logistic regression analysis was then used to examine associations between patient-level demographic and clinical characteristics and EMS compliance while accounting for and quantifying the variation attributable to agency of transport and recipient hospital. Over an 18-month period, EMS and stroke registry records were linked for 5707 EMS-transported stroke cases. Compliance ranged from 24% of cases for last known well documentation to 82% for documentation of a glucose check. The other measures were documented in approximately half of cases. Older age, higher National Institutes of Health Stroke Scale, and earlier presentation were associated with more compliant prehospital care. EMS agencies accounted for more than half of the variation in EMS prehospital stroke scale documentation and last known well documentation and 27% of variation in glucose check but <10% of stroke recognition and prenotification variability. Conclusions EMS stroke care remains highly variable across different performance measures and EMS agencies. EMS agency and electronic medical record type are important sources of variability in compliance with key prehospital performance metrics for stroke.
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Affiliation(s)
- J. Adam Oostema
- Department of Emergency MedicineMichigan State University College of Human Medicine, Secchia CenterGrand RapidsMI
| | - Adrienne Nickles
- Michigan Department of Health and Human Services, Lifecourse Epidemiology and Genomics DivisionLansingMI
| | - Zhehui Luo
- Department of Epidemiology and BiostatisticsMichigan State University College of Human MedicineEast LansingMI
| | - Mathew J. Reeves
- Department of Epidemiology and BiostatisticsMichigan State University College of Human MedicineEast LansingMI
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Melaika K, Sveikata L, Vilionskis A, Wiśniewski A, Jurjans K, Klimašauskas A, Jatužis D, Masiliūnas R. Prehospital Stroke Care, Paramedic Training Needs, and Hospital-Directed Feedback in Lithuania. Healthcare (Basel) 2022; 10:healthcare10101958. [PMID: 36292405 PMCID: PMC9601945 DOI: 10.3390/healthcare10101958] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 09/26/2022] [Accepted: 10/02/2022] [Indexed: 11/04/2022] Open
Abstract
Background: Emergency medical services (EMS) are the first health care contact for the majority of stroke patients. However, there is a lack of data on the current paramedics’ hospital-directed feedback and training needs across different health care settings. We aimed to evaluate paramedics’ prehospital stroke care knowledge, training needs, and current status of feedback on suspected stroke patients. Methods: We surveyed paramedics from the Vilnius region from September to November 2019 and compared the answers between the city and the district agencies. The questionnaire content included questions on paramedics’ demographic characteristics, prehospital stroke care self-assessment, knowledge on stroke mimics, stroke training needs, and the importance of hospital-directed feedback on suspected stroke patients. Results: A total number of 161 paramedics (or 49.4% of all paramedics from our stroke care network) were surveyed, with more district paramedics rating their prehospital stroke care knowledge as inadequate (44.8% (95% confidence interval (CI) 32.8−57.6) vs. 28.1% (95% CI 20.1−27.8), p = 0.028). In addition, more district paramedics indicated a need for additional stroke training (83.1% (95% CI 71.5−90.5) vs. 69.8% (60.0−78.1), p = 0.043). However, respondents reported being the most confident while dealing with stroke (71.3%, 95% CI 63.8−77.7) compared to other time-critical conditions (p < 0.001). Vertigo (60.8%, 95% CI 53.0−68.0), brain tumors (56.3%, 95% CI 48.5−63.8), and seizures (54.4%, 95% CI 46.7−62.0) were indicated as the most common stroke mimics. Only 6.2% (95% CI 3.4−11.1) of respondents received formal feedback on the outcome of suspected stroke patients brought to the emergency department. Conclusions: A high proportion of paramedics self-perceive having inadequate stroke knowledge and an urgent need for further stroke training. The EMS staff indicate receiving insufficient feedback on suspected stroke patients, even though its usefulness is perceived as paramount.
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Affiliation(s)
| | - Lukas Sveikata
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals, 1205 Geneva, Switzerland
- Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, 50161 Kaunas, Lithuania
| | - Aleksandras Vilionskis
- Clinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Vilnius University, 08661 Vilnius, Lithuania
| | - Adam Wiśniewski
- Department of Neurology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-067 Bydgoszcz, Poland
| | - Kristaps Jurjans
- Department of Neurology and Neurosurgery, Riga Stradins University, 1002 Riga, Latvia
- Department of Neurology, Pauls Stradins Clinical University Hospital, 1002 Riga, Latvia
| | - Andrius Klimašauskas
- Center of Anaesthesiology, Intensive Therapy and Pain Management, Vilnius University, 08661 Vilnius, Lithuania
| | - Dalius Jatužis
- Center of Neurology, Vilnius University, 08661 Vilnius, Lithuania
| | - Rytis Masiliūnas
- Center of Neurology, Vilnius University, 08661 Vilnius, Lithuania
- Correspondence: ; Tel.: +370-688-62356; Fax: +370-688-62728
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Möller L, Timmermann L, Gerstner A. [Time is Brain - Preclinical Emergency Care for Acute Ischemic Stroke]. Anasthesiol Intensivmed Notfallmed Schmerzther 2021; 56:746-759. [PMID: 34820813 DOI: 10.1055/a-1330-5239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Stroke is one of the most common neurological emergencies and requires rapid detection and treatment (time is brain). There is still insufficient knowledge about stroke warning signs. It is therefore of crucial importance that trained personnel in the preclinical setting recognize the relevant warning symptoms and collect the necessary information to quickly refer the patient to the appropriate additional care structure. For this purpose, training of the emergency medical services (EMS) and the correct triage are of particular importance. The on-site assessment of a patient with a suspected stroke by EMS should include airway, breathing, vital functions, a basic neurological examination, blood glucose testing and cardiac monitoring.Patients with suspected acute ischemic stroke should be brought to the nearest hospital with a stroke unit, ideally connected with a tertiary stroke centre. From there, once the primary diagnosis has been carried out and appropriate therapy initiated, the patient can be transferred to a thrombectomy center if necessary. To improve supply times, teleradiological networking plays a major role both between clinics of different levels of care and in communication between pre- and intra-hospital care providers. Also, the use of mobile stroke units can improve preclinical stroke care and reduce delays in access to intravenous thrombolytic therapy and mechanical thrombectomy. The identification of preclinical biomarkers could also save time.
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Dias A, Silva I, Pinto IM, Maia LF. Timely and Blood-Based Multiplex Molecular Profiling of Acute Stroke. Life (Basel) 2021; 11:816. [PMID: 34440560 PMCID: PMC8398526 DOI: 10.3390/life11080816] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 08/06/2021] [Accepted: 08/07/2021] [Indexed: 12/12/2022] Open
Abstract
Stroke is a leading cause of death and disability in the world. To address such a problem, early diagnosis and tailored acute treatment represent one of the major priorities in acute stroke care. Since the efficacy of reperfusion treatments is highly time-dependent, there is a critical need to optimize procedures for faster and more precise diagnosis. We provide a concise review of the most relevant and well-documented blood-protein biomarkers that exhibit greater potential for translational to clinical practice in stroke differential diagnosis and to differentiate ischemic stroke from hemorrhagic stroke, followed by an overview of the most recent point-of-care technological approaches to address this problem. The integration of fluid-based biomarker profiling, using point-of-care biosensors with demographic, clinical, and neuroimaging parameters in multi-dimensional clinical decision-making algorithms, will be the next step in personalized stroke care.
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Affiliation(s)
- Alexandre Dias
- Department of Neurology, Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal; (A.D.); (I.S.)
- Portugal and Ipatimup—Institute of Molecular Pathology and Immunology, University of Porto, 4200-135 Porto, Portugal
| | - Isabel Silva
- Department of Neurology, Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal; (A.D.); (I.S.)
- Portugal and Molecular Neurobiology, IBMC—Instituto de Biologia Molecular e Celular, University of Porto, 4200-135 Porto, Portugal
| | - Inês Mendes Pinto
- International Iberian Nanotechnology Laboratory, 4715-330 Braga, Portugal
| | - Luís F. Maia
- Department of Neurology, Centro Hospitalar Universitário do Porto (CHUPorto), 4099-001 Porto, Portugal; (A.D.); (I.S.)
- Portugal and Molecular Neurobiology, IBMC—Instituto de Biologia Molecular e Celular, University of Porto, 4200-135 Porto, Portugal
- Instituto de Ciências Biomédicas Abel Salazar, University of Porto (ICBAS-UP), 4050-313 Porto, Portugal
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Zubair AS, Crawford A, Prabhat AM, Sheth KN. Use of Portable Imaging Modalities in Patients With Neurologic Disorders: A Case-Based Discussion. Cureus 2021; 13:e15841. [PMID: 34327077 PMCID: PMC8301273 DOI: 10.7759/cureus.15841] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/22/2021] [Indexed: 02/06/2023] Open
Abstract
Imaging technologies have significantly improved over the past few decades and play a critical role in the diagnosis and management of patients with neurologic conditions. With the evolution of these technologies to portable versions, significant implications exist for current neurologic care as well as potential improvements for the future. This article serves to describe portable imaging technologies and their potential impact on the field of neurology highlighted through the case of a patient who presented with symptoms consistent with a stroke.
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