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Fouad K, Vavrek R, Surles-Zeigler MC, Huie JR, Radabaugh HL, Gurkoff GG, Visser U, Grethe JS, Martone ME, Ferguson AR, Gensel JC, Torres-Espin A. A practical guide to data management and sharing for biomedical laboratory researchers. Exp Neurol 2024; 378:114815. [PMID: 38762093 DOI: 10.1016/j.expneurol.2024.114815] [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: 11/04/2023] [Revised: 05/13/2024] [Accepted: 05/14/2024] [Indexed: 05/20/2024]
Abstract
Effective data management and sharing have become increasingly crucial in biomedical research; however, many laboratory researchers lack the necessary tools and knowledge to address this challenge. This article provides an introductory guide into research data management (RDM), and the importance of FAIR (Findable, Accessible, Interoperable, and Reusable) data-sharing principles for laboratory researchers produced by practicing scientists. We explore the advantages of implementing organized data management strategies and introduce key concepts such as data standards, data documentation, and the distinction between machine and human-readable data formats. Furthermore, we offer practical guidance for creating a data management plan and establishing efficient data workflows within the laboratory setting, suitable for labs of all sizes. This includes an examination of requirements analysis, the development of a data dictionary for routine data elements, the implementation of unique subject identifiers, and the formulation of standard operating procedures (SOPs) for seamless data flow. To aid researchers in implementing these practices, we present a simple organizational system as an illustrative example, which can be tailored to suit individual needs and research requirements. By presenting a user-friendly approach, this guide serves as an introduction to the field of RDM and offers practical tips to help researchers effortlessly meet the common data management and sharing mandates rapidly becoming prevalent in biomedical research.
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Affiliation(s)
- K Fouad
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada.
| | - R Vavrek
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada
| | - M C Surles-Zeigler
- Department of Neuroscience, University of California, San Diego, La Jolla, CA, United States
| | - J R Huie
- Department of Neurosurgery, Brain and Spinal Injury Center, Weill Institutes for Neurosciences, University of California, San Francisco, San Francisco, CA, United States; San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States
| | - H L Radabaugh
- Department of Neurosurgery, Brain and Spinal Injury Center, Weill Institutes for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - G G Gurkoff
- Center for Neuroscience, University of California Davis, Davis, CA, United States; Department of Neurological Surgery, University of California Davis, Davis, CA, United States; Northern California Veterans Affairs Healthcare System, Martinez, CA, United States
| | - U Visser
- Department of Computer Science, University of Miami, Coral Gables, FL, United States
| | - J S Grethe
- Department of Neuroscience, University of California, San Diego, La Jolla, CA, United States
| | - M E Martone
- Department of Neuroscience, University of California, San Diego, La Jolla, CA, United States; San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States
| | - A R Ferguson
- Department of Neurosurgery, Brain and Spinal Injury Center, Weill Institutes for Neurosciences, University of California, San Francisco, San Francisco, CA, United States; San Francisco Veterans Affairs Healthcare System, San Francisco, CA, United States
| | - J C Gensel
- Spinal Cord and Brain Injury Research Center and Department of Physiology, University of Kentucky College of Medicine, Lexington, KY, United States.
| | - A Torres-Espin
- Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada; Department of Neurosurgery, Brain and Spinal Injury Center, Weill Institutes for Neurosciences, University of California, San Francisco, San Francisco, CA, United States; School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.
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Bagg MK, Hicks AJ, Hellewell SC, Ponsford JL, Lannin NA, O'Brien TJ, Cameron PA, Cooper DJ, Rushworth N, Gabbe BJ, Fitzgerald M. The Australian Traumatic Brain Injury Initiative: Statement of Working Principles and Rapid Review of Methods to Define Data Dictionaries for Neurological Conditions. Neurotrauma Rep 2024; 5:424-447. [PMID: 38660461 PMCID: PMC11040195 DOI: 10.1089/neur.2023.0116] [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] [Indexed: 04/26/2024] Open
Abstract
The Australian Traumatic Brain Injury Initiative (AUS-TBI) aims to develop a health informatics approach to collect data predictive of outcomes for persons with moderate-severe TBI across Australia. Central to this approach is a data dictionary; however, no systematic reviews of methods to define and develop data dictionaries exist to-date. This rapid systematic review aimed to identify and characterize methods for designing data dictionaries to collect outcomes or variables in persons with neurological conditions. Database searches were conducted from inception through October 2021. Records were screened in two stages against set criteria to identify methods to define data dictionaries for neurological conditions (International Classification of Diseases, 11th Revision: 08, 22, and 23). Standardized data were extracted. Processes were checked at each stage by independent review of a random 25% of records. Consensus was reached through discussion where necessary. Thirty-nine initiatives were identified across 29 neurological conditions. No single established or recommended method for defining a data dictionary was identified. Nine initiatives conducted systematic reviews to collate information before implementing a consensus process. Thirty-seven initiatives consulted with end-users. Methods of consultation were "roundtable" discussion (n = 30); with facilitation (n = 16); that was iterative (n = 27); and frequently conducted in-person (n = 27). Researcher stakeholders were involved in all initiatives and clinicians in 25. Importantly, only six initiatives involved persons with lived experience of TBI and four involved carers. Methods for defining data dictionaries were variable and reporting is sparse. Our findings are instructive for AUS-TBI and can be used to further development of methods for defining data dictionaries.
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Affiliation(s)
- Matthew K. Bagg
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Bentley, Western Australia, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Health Sciences, University of Notre Dame Australia, Fremantle, Western Australia, Australia
| | - Amelia J. Hicks
- School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Monash-Epworth Rehabilitation Research Centre, Epworth Healthcare, Melbourne, Victoria, Australia
| | - Sarah C. Hellewell
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Bentley, Western Australia, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia
| | - Jennie L. Ponsford
- School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Monash-Epworth Rehabilitation Research Centre, Epworth Healthcare, Melbourne, Victoria, Australia
| | - Natasha A. Lannin
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Terence J. O'Brien
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Peter A. Cameron
- National Trauma Research Institute, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Emergency and Trauma Centre, The Alfred Hospital, Melbourne, Victoria, Australia
| | - D. Jamie Cooper
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Intensive Care and Hyperbaric Medicine, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Nick Rushworth
- Brain Injury Australia, Sydney, New South Wales, Australia
| | - Belinda J. Gabbe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Health Data Research UK, Swansea University Medical School, Swansea University, Singleton Park, United Kingdom
| | - Melinda Fitzgerald
- Curtin Health Innovation Research Institute, Faculty of Health Sciences, Curtin University, Bentley, Western Australia, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia
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Park A, Solinsky R. Leveraging genetics to optimize rehabilitation outcomes after spinal cord injury: contemporary challenges and future opportunities. Front Genet 2024; 15:1350422. [PMID: 38415057 PMCID: PMC10896969 DOI: 10.3389/fgene.2024.1350422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 01/22/2024] [Indexed: 02/29/2024] Open
Affiliation(s)
- Andrew Park
- Craig Rehabilitation Hospital, Englewood, CO, United States
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Widerström-Noga E, Biering-Sørensen F, Bryce TN, Cardenas DD, Finnerup NB, Jensen MP, Richards JS, Rosner J, Taylor J. The international spinal cord injury pain basic data set (version 3.0). Spinal Cord 2023; 61:536-540. [PMID: 37491608 DOI: 10.1038/s41393-023-00919-w] [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: 11/29/2022] [Revised: 07/12/2023] [Accepted: 07/18/2023] [Indexed: 07/27/2023]
Abstract
STUDY DESIGN Expert opinion, feedback, revisions, and final consensus. OBJECTIVES To update the International Spinal Cord Injury Pain Basic Data Set (ISCIPBDS version 2.0) and incorporate suggestions from the SCI pain clinical and research community with respect to overall utility. SETTING International. METHODS The ISCIPBDS working group evaluated these suggestions and made modifications. The revised ISCIPBDS (Version 3.0) was then reviewed by members of the International SCI Data Sets Committee, the American Spinal Injury Association (ASIA) Board, the International Spinal Cord Society (ISCoS) Executive and Scientific Committees, individual reviewers and societies, and posted on the ASIA and ISCoS websites for 1 month to elicit comments before final approval by ASIA and ISCoS. RESULTS The ISCIPBDS (Version 3.0) was updated to make the dataset more flexible and useful: 1. The assessment can be based on the patient's perception of several of his/her "worst" pain(s) or based on the International SCI Pain (ISCIP) Classification-defined or other pain types, depending on the specific research questions or clinical needs. 2. Pain interference should usually be rated for overall pain but may also be used for specific pain problems if needed. 3. An optional pain drawing was added to complement the check box documentation of pain location. 4. Data categories consistent with the Extended Pain Dataset list of current treatments were added. 5. Several new training cases were added.
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Affiliation(s)
- Eva Widerström-Noga
- Miami Project to Cure Paralysis, University of Miami, Miller School of Medicine, Miami, FL, USA.
- Department of Physical Medicine and Rehabilitation, University of Miami, Miller School of Medicine, Miami, FL, USA.
| | - Fin Biering-Sørensen
- Department for Brain and Spinal Cord Injuries, Rigshospitalet, and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Thomas N Bryce
- Department of Rehabilitation and Human Performance, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Diana D Cardenas
- Department of Physical Medicine and Rehabilitation, University of Miami, Miller School of Medicine, Miami, FL, USA
| | - Nanna B Finnerup
- Danish Pain Research Center, Department of Clinical medicine, Aarhus University, Aarhus, Denmark
| | - Mark P Jensen
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | - J Scott Richards
- Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jan Rosner
- Spinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland
- Department of Neurology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Julian Taylor
- Sensorimotor Function Group, Hospital Nacional de Parapléjicos, Servicio de Salud Castilla-La Mancha (SESCAM), Toledo, Spain
- Harris Manchester College, University of Oxford, Oxford, UK
- Instituto de Investigación Sanitaria de Castilla-La Mancha (SESCAM), Hospital Nacional de Parapléjicos, Toledo, Spain
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Gustin SM, Bolding M, Willoughby W, Anam M, Shum C, Rumble D, Mark VW, Mitchell L, Cowan RE, Richardson E, Richards S, Trost Z. Cortical Mechanisms Underlying Immersive Interactive Virtual Walking Treatment for Amelioration of Neuropathic Pain after Spinal Cord Injury: Findings from a Preliminary Investigation of Thalamic Inhibitory Function. J Clin Med 2023; 12:5743. [PMID: 37685810 PMCID: PMC10488675 DOI: 10.3390/jcm12175743] [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: 08/11/2023] [Revised: 08/21/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Neuropathic pain following spinal cord injury (SCI) affects approximately 60% of individuals with SCI. Effective pharmacological and non-pharmacological treatments remain elusive. We recently demonstrated that our immersive virtual reality walking intervention (VRWalk) may be effective for SCI NP. Additionally, we found that SCI NP may result from a decrease in thalamic γ-aminobutyric-acid (GABA), which disturbs central sensorimotor processing. OBJECTIVE While we identified GABAergic changes associated with SCI NP, a critical outstanding question is whether a decrease in SCI NP generated by our VRWalk intervention causes GABA content to rise. METHOD A subset of participants (n = 7) of our VRWalk trial underwent magnetic resonance spectroscopy pre- and post-VRWalk intervention to determine if the decrease in SCI NP is associated with an increase in thalamic GABA. RESULTS The findings revealed a significant increase in thalamic GABA content from pre- to post-VRWalk treatment. CONCLUSION While the current findings are preliminary and should be interpreted with caution, pre- to post-VRWalk reductions in SCI NP may be mediated by pre- to post-treatment increases in thalamic GABA by targeting and normalizing maladaptive sensorimotor cortex reorganization. Understanding the underlying mechanisms of pain recovery can serve to validate the efficacy of home-based VR walking treatment as a means of managing pain following SCI. Neuromodulatory interventions aimed at increasing thalamic inhibitory function may provide more effective pain relief than currently available treatments.
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Affiliation(s)
- Sylvia M. Gustin
- NeuroRecovery Research Hub, School of Psychology, University of New South Wales, Sydney 2052, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney 2031, Australia
| | - Mark Bolding
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - William Willoughby
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Monima Anam
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35233, USA (L.M.)
| | - Corey Shum
- Immersive Experience Laboratories LLC, Birmingham, AL 35203, USA
| | - Deanna Rumble
- Department of Psychology and Counseling, University of Central Arkansas, Conway, AR 72035, USA
| | - Victor W. Mark
- Department of Physical Medicine & Rehabilitation, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Lucie Mitchell
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35233, USA (L.M.)
| | - Rachel E. Cowan
- Department of Physical Medicine & Rehabilitation, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Elizabeth Richardson
- Department of Behavioral & Social Sciences, University of Montevallo, Montevallo, AL 35115, USA
| | - Scott Richards
- Department of Physical Medicine & Rehabilitation, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Zina Trost
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX 77843, USA
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Kelly-Hedrik M, Abd-El-Barr MM, Aarabi B, Curt A, Howley SP, Harrop JS, Kirshblum S, Neal CJ, Noonan V, Park C, Ugiliweneza B, Tator C, Toups EG, Fehlings MG, Williamson T, Guest JD. Importance of Prospective Registries and Clinical Research Networks in the Evolution of Spinal Cord Injury Care. J Neurotrauma 2023; 40:1834-1848. [PMID: 36576020 DOI: 10.1089/neu.2022.0450] [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] [Indexed: 12/29/2022] Open
Abstract
Only 100 years ago, traumatic spinal cord injury (SCI) was commonly lethal. Today, most people who sustain SCI survive with continual efforts to improve their quality of life and neurological outcomes. SCI epidemiology is changing as preventative interventions reduce injuries in younger individuals, and there is an increased incidence of incomplete injuries in aging populations. Early treatment has become more intensive with decompressive surgery and proactive interventions to improve spinal cord perfusion. Accurate data, including specialized outcome measures, are crucial to understanding the impact of epidemiological and treatment trends. Dedicated SCI clinical research and data networks and registries have been established in the United States, Canada, Europe, and several other countries. We review four registry networks: the North American Clinical Trials Network (NACTN) SCI Registry, the National Spinal Cord Injury Model Systems (SCIMS) Database, the Rick Hansen SCI Registry (RHSCIR), and the European Multi-Center Study about Spinal Cord Injury (EMSCI). We compare the registries' focuses, data platforms, advanced analytics use, and impacts. We also describe how registries' data can be combined with electronic health records (EHRs) or shared using federated analysis to protect registrants' identities. These registries have identified changes in epidemiology, recovery patterns, complication incidence, and the impact of practice changes such as early decompression. They've also revealed latent disease-modifying factors, helped develop clinical trial stratification models, and served as matched control groups in clinical trials. Advancing SCI clinical science for personalized medicine requires advanced analytical techniques, including machine learning, counterfactual analysis, and the creation of digital twins. Registries and other data sources help drive innovation in SCI clinical science.
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Affiliation(s)
| | | | - Bizhan Aarabi
- University of Maryland School of Medicine, Maryland, USA
| | - Armin Curt
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
| | - Susan P Howley
- Christopher & Dana Reeve Foundation, Short Hills, New Jersey, USA
| | - James S Harrop
- Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
| | - Steven Kirshblum
- Rutgers New Jersey Medical School, Newark, New Jersey, USA
- Kessler Institute for Rehabilitation, West Orange, New Jersey, USA
- Kessler Foundation, West Orange, New Jersey, USA
| | - Christopher J Neal
- Division of Neurosurgery, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
| | - Vanessa Noonan
- Praxis Spinal Cord Institute, Vancouver, British Columbia, Canada
| | - Christine Park
- Duke University School of Medicine, Durham, North Carolina, USA
| | | | - Charles Tator
- Division of Neurosurgery and Spine Program, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Elizabeth G Toups
- Department of Neurosurgery, Houston Methodist Hospital, Houston, Texas, USA
| | - Michael G Fehlings
- Division of Neurosurgery and Spine Program, Department of Surgery, University of Toronto, Toronto, Ontario, Canada
| | - Theresa Williamson
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - James D Guest
- Neurological Surgery and The Miami Project to Cure Paralysis, University of Miami, Miami, USA
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Ahmed RU, Medina‐Aguinaga D, Adams S, Knibbe CA, Morgan M, Gibson D, Kim J, Sharma M, Chopra M, Davison S, Sherwood LC, Negahdar M, Bert R, Ugiliweneza B, Hubscher C, Budde MD, Xu J, Boakye M. Predictive values of spinal cord diffusion magnetic resonance imaging to characterize outcomes after contusion injury. Ann Clin Transl Neurol 2023; 10:1647-1661. [PMID: 37501362 PMCID: PMC10502634 DOI: 10.1002/acn3.51855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/21/2023] [Accepted: 07/09/2023] [Indexed: 07/29/2023] Open
Abstract
OBJECTIVES To explore filtered diffusion-weighted imaging (fDWI), in comparison with conventional magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI), as a predictor for long-term locomotor and urodynamic (UD) outcomes in Yucatan minipig model of spinal cord injury (SCI). Additionally, electrical conductivity of neural tissue using D-waves above and below the injury was measured to assess correlations between fDWI and D-waves data. METHODS Eleven minipigs with contusion SCI at T8-T10 level underwent MRI at 3T 4 h. post-SCI. Parameters extracted from region of interest analysis included Daxial from fDWI at injury site, fractional anisotropy and radial diffusivity from DTI above the injury site along with measures of edema length and cord width at injury site from T2 -weighted images. Locomotor recovery was assessed pre- and weekly post-SCI through porcine thoracic injury behavior scale (PTIBS) and UD were performed pre- and at 12 weeks of SCI. D-waves latency and amplitude differences were recorded before and immediately after SCI. RESULTS Two groups of pigs were found based on the PTIBS at week 12 (p < 0.0001) post-SCI and were labeled "poor" and "good" recovery. D-waves amplitude decreased below injury and increased above injury. UD outcomes pre/post SCI changed significantly. Conventional MRI metrics from T2 -weighted images were significantly correlated with diffusion MRI metrics. Daxial at injury epicenter was diminished by over 50% shortly after SCI, and it differentiated between good and poor locomotor recovery and UD outcomes. INTERPRETATION Similar to small animal studies, fDWI from acute imaging after SCI is a promising predictor for functional outcomes in large animals.
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Affiliation(s)
- Rakib Uddin Ahmed
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Daniel Medina‐Aguinaga
- Department of Anatomical Sciences and NeurobiologyUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Shawns Adams
- Department of NeurosurgeryDuke UniversityRaleighNorth CarolinaUSA
| | - Chase A. Knibbe
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Monique Morgan
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Destiny Gibson
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Joo‐won Kim
- Department of RadiologyBaylor College of MedicineHoustonTexasUSA
- Department of PsychiatryBaylor College of MedicineHoustonTexasUSA
| | - Mayur Sharma
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Manpreet Chopra
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Steven Davison
- Comparative Medicine Research UnitUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Leslie C. Sherwood
- Comparative Medicine Research UnitUniversity of LouisvilleLouisvilleKentuckyUSA
| | - M.J. Negahdar
- Department of RadiologyUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Robert Bert
- Department of RadiologyUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Beatrice Ugiliweneza
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Charles Hubscher
- Department of Anatomical Sciences and NeurobiologyUniversity of LouisvilleLouisvilleKentuckyUSA
| | - Matthew D. Budde
- Department of NeurosurgeryMedical College of WisconsinMilwaukeeWisconsinUSA
- Clement J. Zablocki Veterans Affairs Medical CenterMilwaukeeWisconsinUSA
| | - Junqian Xu
- Department of RadiologyBaylor College of MedicineHoustonTexasUSA
- Department of PsychiatryBaylor College of MedicineHoustonTexasUSA
| | - Maxwell Boakye
- Department of Neurological Surgery and Kentucky Spinal Cord Injury Research CenterUniversity of LouisvilleLouisvilleKentuckyUSA
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Chen Y, Charlifue S, Noonan VK, New PW, Gururaj G, Katoh S, Leiulfsrud H, Post MW, Biering-Sørensen F. International spinal cord injury socio-demographic basic data set (version 1.0). Spinal Cord 2023; 61:313-316. [PMID: 37059864 DOI: 10.1038/s41393-023-00896-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 03/16/2023] [Accepted: 03/30/2023] [Indexed: 04/16/2023]
Abstract
STUDY DESIGN Consensus based on the literature. OBJECTIVE Create an International Spinal Cord Injury (SCI) Socio-Demographic Basic Data Set (Version 1.0). SETTING International. METHODS The development included an iterative process where the authors reviewed existing variables containing socio-demographic variables and created a first dataset draft, which was followed by several revisions through email communications. In addition, the work was conducted in parallel with a similar endeavour within the National Institute of Neurological Disorders and Stroke SCI Common Data Elements project in the United States. Subsequently, harmonization between the two projects was sought. Following this, a review process was initiated, including The International SCI Data Sets Committee, the American Spinal Injury Association (ASIA) Board, and the International Spinal Cord Society (ISCoS) Scientific and Executive Committees, and then by publishing on the respective websites for membership feedback. The draft was sent to about 40 national and international organizations and several interested individuals for feedback. All review comments were discussed in the working group and responded to before the final draft was developed, and finally approved by ASIA Board and the ISCoS Scientific and Executive committees. RESULTS The final International SCI Socio-Demographic Basic Data Set includes the following variables: Date of data collection, Marital status, Household member count, Years of formal education, and Primary occupation. CONCLUSION The International SCI Socio-Demographic Basic Data Set will facilitate uniform data collection and reporting of socio-demographic information at the time of injury as well as at post-injury follow-ups to facilitate the evaluation and comparisons across studies.
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Affiliation(s)
- Yuying Chen
- Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, AL, USA.
| | | | | | - Peter W New
- Spinal Rehabilitation Service, Caulfield Hospital, Alfred Health, Melbourne, VIC, Australia
- Epworth-Monash Rehabilitation Medicine Unit, Monash University, Melbourne, VIC, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Gopalkrishna Gururaj
- Department of Epidemiology, Centre for Public health, National Institute of Mental Health and Neuro Sciences, Bangalore, India
| | - Shinsuke Katoh
- Department of Rehabilitation Medicine, Tokushima University Hospital, Tokushima, Japan
| | - Håkon Leiulfsrud
- Department of Sociology and Political Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Marcel W Post
- Center of Excellence for Rehabilitation Medicine, UMC Utrecht Brain Center, University Medical Center Utrecht and De Hoogstraat Rehabilitation, Utrecht, Netherlands
- University of Groningen, University Medical Center Groningen, Department of Rehabilitation Medicine, Groningen, Netherlands
| | - Fin Biering-Sørensen
- Department for Spinal Cord Injuries, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Institute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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International Spinal Cord Injury Core Data Set (version 3.0)-including standardization of reporting. Spinal Cord 2023; 61:65-68. [PMID: 36307730 DOI: 10.1038/s41393-022-00862-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/30/2022] [Accepted: 10/04/2022] [Indexed: 01/17/2023]
Abstract
STUDY DESIGN Expert opinion, feedback, revisions and final consensus. OBJECTIVES To update the International Spinal Cord Injury (SCI) Core Data Set while still retaining recommended standardization of data reporting. SETTING International. METHODS Comments on the data elements received from the SCI community were discussed in the International Core Data Set working group. The suggestions from this group were iteratively reviewed. The final version was circulated for final approval. RESULTS The International SCI Core Data Set (Version 3.0) consists of 21 variables. The variable 'Gender' has been changed to 'Sex assigned at birth'; for the variable 'Spinal Cord Injury Etiology', the item, 'Sports or exercise during leisure time', has been clarified as 'including during leisure time'; for the variables 'Vertebral injury' and 'Associated injuries', the item 'Unknown' is reworded into: 'Not applicable (non-traumatic case)' and 'Unknown'; the variable 'Spinal surgery' has been expanded to include surgeries for individuals with non-traumatic SCI; for the variables related to the International Standards for Neurological Classification of SCI only the neurological level of injury (NLI) and the American Spinal Injury Association (ASIA) Impairment Scale (AIS) are to be reported, and a separate variable is included indicating if the NLI or the AIS or both are impacted by a non-SCI condition. CONCLUSION The International SCI Core Data Set (Version 3.0) should be collected and reported for all studies of SCI to facilitate uniform descriptions of SCI populations and facilitate comparison of results collected worldwide.
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10
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Samejima S, Shackleton C, McCracken L, Malik RN, Miller T, Kavanagh A, Ghuman A, Elliott S, Walter M, Nightingale TE, Berger MJ, Lam T, Sachdeva R, Krassioukov AV. Effects of non-invasive spinal cord stimulation on lower urinary tract, bowel, and sexual functions in individuals with chronic motor-complete spinal cord injury: Protocol for a pilot clinical trial. PLoS One 2022; 17:e0278425. [PMID: 36512558 PMCID: PMC9746997 DOI: 10.1371/journal.pone.0278425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Electrical spinal cord neuromodulation has emerged as a leading intervention for restoring autonomic functions, such as blood pressure, lower urinary tract (LUT), bowel, and sexual functions, following spinal cord injury (SCI). While a few preliminary studies have shown the potential effect of non-invasive transcutaneous spinal cord stimulation (tSCS) on autonomic recovery following SCI, the optimal stimulation parameters, as well as real-time and long-term functional benefits of tSCS are understudied. This trial entitled "Non-invasive Neuromodulation to Treat Bladder, Bowel, and Sexual Dysfunction following Spinal Cord Injury" is a pilot trial to examine the feasibility, dosage effect and safety of tSCS on pelvic organ function for future large-scale randomized controlled trials. METHODS AND ANALYSIS Forty eligible participants with chronic cervical or upper thoracic motor-complete SCI will undergo stimulation mapping and assessment batteries to determine the real-time effect of tSCS on autonomic functions. Thereafter, participants will be randomly assigned to either moderate or intensive tSCS groups to test the dosage effect of long-term stimulation on autonomic parameters. Participants in each group will receive 60 minutes of tSCS per session either twice (moderate) or five (intensive) times per week, over a period of six weeks. Outcome measures include: (a) changes in bladder capacity through urodynamic studies during real-time and after long-term tSCS, and (b) resting anorectal pressure determined via anorectal manometry during real-time tSCS. We also measure assessments of sexual function, neurological impairments, and health-related quality of life using validated questionnaires and semi-structured interviews. ETHICS AND DISSEMINATION Ethical approval has been obtained (CREB H20-01163). All primary and secondary outcome data will be submitted to peer-reviewed journals and disseminated among the broader scientific community and stakeholders.
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Affiliation(s)
- Soshi Samejima
- Faculty of Medicine, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Division of Physical Medicine and Rehabilitation, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Claire Shackleton
- Faculty of Medicine, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Division of Physical Medicine and Rehabilitation, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Laura McCracken
- Faculty of Medicine, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Division of Physical Medicine and Rehabilitation, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Raza N. Malik
- Faculty of Medicine, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Division of Physical Medicine and Rehabilitation, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Tiev Miller
- Faculty of Medicine, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Division of Physical Medicine and Rehabilitation, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Alex Kavanagh
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Amandeep Ghuman
- Department of Surgery, St. Paul’s Hospital, Vancouver, BC, Canada
| | - Stacy Elliott
- Faculty of Medicine, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Urology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Matthias Walter
- Faculty of Medicine, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Department of Urology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Tom E. Nightingale
- Faculty of Medicine, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom
- Centre for Trauma Sciences Research, University of Birmingham, Edgbaston, Birmingham, United Kingdom
| | - Michael J. Berger
- Faculty of Medicine, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Division of Physical Medicine and Rehabilitation, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
- GF Strong Rehabilitation Centre, Vancouver Coastal Health, Vancouver, BC, Canada
| | - Tania Lam
- Faculty of Medicine, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- School of Kinesiology, University of British Columbia, Vancouver, BC, Canada
| | - Rahul Sachdeva
- Faculty of Medicine, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Division of Physical Medicine and Rehabilitation, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Andrei V. Krassioukov
- Faculty of Medicine, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada
- Division of Physical Medicine and Rehabilitation, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
- GF Strong Rehabilitation Centre, Vancouver Coastal Health, Vancouver, BC, Canada
- * E-mail:
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11
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Superiority of Brain and Spinal Injury Center Score for Assessing Injury Severity and Predicting Prognosis in Patients with Acute Traumatic Spinal Cord Injury. Clin Neuroradiol 2022; 32:1117-1125. [PMID: 35394137 DOI: 10.1007/s00062-022-01154-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 03/03/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE The goal of this study was to evaluate the interrelationship between different magnetic resonance (MR) imaging measures and their validity in assessing the severity of acute traumatic spinal cord injury (tSCI) and predicting neurological outcomes. METHODS We performed a preoperative multicenter cohort study of 89 patients with acute tSCI and preoperative MR imaging within 24 h after injury. We assessed several MR imaging measures of injury, including axial grade (Brain and Spinal Injury Center [BASIC] score), sagittal grade, length of injury, maximum canal compromise (MCC), and maximum spinal cord compression (MSCC). Principal component analysis (PCA) was applied to evaluate the interrelationship between different MR imaging measures. Spearman correlation and regression analyses were applied to assess injury severity and predict neurological impairment. The severity was assessed by the American Spinal Injury Association Impairment Scale (AIS) at admission, while neurological outcome was defined by AIS grade change at 6 weeks, AIS grade and SCIM score at 1 year after surgery. RESULTS The PCA identified 2 clusters of MR imaging variables related to 1) measures of intrinsic cord signal abnormality (BASIC score, sagittal grade and length of injury) and 2) measures of extrinsic cord compression (MCC and MSCC). Neurological outcome and injury severity were best accounted for by MR imaging measures of intrinsic cord signal abnormalities, with the BASIC score representing the most accurate predictor of short-term and long-term neurological outcomes. CONCLUSION We determined the superior significance of the BASIC score in assessing injury severity, predicting early AIS improvement, AIS grade and SCIM score at 1 year compared with other MR imaging measures.
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12
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Javeed S, Dibble CF, Greenberg JK, Zhang JK, Khalifeh JM, Park Y, Wilson TJ, Zager EL, Faraji AH, Mahan MA, Yang LJ, Midha R, Juknis N, Ray WZ. Upper Limb Nerve Transfer Surgery in Patients With Tetraplegia. JAMA Netw Open 2022; 5:e2243890. [PMID: 36441549 PMCID: PMC9706368 DOI: 10.1001/jamanetworkopen.2022.43890] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
IMPORTANCE Cervical spinal cord injury (SCI) causes devastating loss of upper extremity function and independence. Nerve transfers are a promising approach to reanimate upper limbs; however, there remains a paucity of high-quality evidence supporting a clinical benefit for patients with tetraplegia. OBJECTIVE To evaluate the clinical utility of nerve transfers for reanimation of upper limb function in tetraplegia. DESIGN, SETTING, AND PARTICIPANTS In this prospective case series, adults with cervical SCI and upper extremity paralysis whose recovery plateaued were enrolled between September 1, 2015, and January 31, 2019. Data analysis was performed from August 2021 to February 2022. INTERVENTIONS Nerve transfers to reanimate upper extremity motor function with target reinnervation of elbow extension and hand grasp, pinch, and/or release. MAIN OUTCOMES AND MEASURES The primary outcome was motor strength measured by Medical Research Council (MRC) grades 0 to 5. Secondary outcomes included Sollerman Hand Function Test (SHFT); Michigan Hand Outcome Questionnaire (MHQ); Disabilities of Arm, Shoulder, and Hand (DASH); and 36-Item Short Form Health Survey (SF-36) physical component summary (PCS) and mental component summary (MCS) scores. Outcomes were assessed up to 48 months postoperatively. RESULTS Twenty-two patients with tetraplegia (median age, 36 years [range, 18-76 years]; 21 male [95%]) underwent 60 nerve transfers on 35 upper limbs at a median time of 21 months (range, 6-142 months) after SCI. At final follow-up, upper limb motor strength improved significantly: median MRC grades were 3 (IQR, 2.5-4; P = .01) for triceps, with 70% of upper limbs gaining an MRC grade of 3 or higher for elbow extension; 4 (IQR, 2-4; P < .001) for finger extensors, with 79% of hands gaining an MRC grade of 3 or higher for finger extension; and 2 (IQR, 1-3; P < .001) for finger flexors, with 52% of hands gaining an MRC grade of 3 or higher for finger flexion. The secondary outcomes of SHFT, MHQ, DASH, and SF36-PCS scores improved beyond the established minimal clinically important difference. Both early (<12 months) and delayed (≥12 months) nerve transfers after SCI achieved comparable motor outcomes. Continual improvement in motor strength was observed in the finger flexors and extensors across the entire duration of follow-up. CONCLUSIONS AND RELEVANCE In this prospective case series, nerve transfer surgery was associated with improvement of upper limb motor strength and functional independence in patients with tetraplegia. Nerve transfer is a promising intervention feasible in both subacute and chronic SCI.
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Affiliation(s)
- Saad Javeed
- Department of Neurological Surgery, Washington University, St Louis, Missouri
| | | | - Jacob K. Greenberg
- Department of Neurological Surgery, Washington University, St Louis, Missouri
| | - Justin K. Zhang
- Department of Neurological Surgery, Washington University, St Louis, Missouri
| | - Jawad M. Khalifeh
- Department of Neurological Surgery, Johns Hopkins University, Baltimore, Maryland
| | - Yikyung Park
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri
| | - Thomas J. Wilson
- Department of Neurosurgery, Stanford University, Stanford, California
| | - Eric L. Zager
- Department of Neurosurgery, Hospital of the University of Pennsylvania, Philadelphia
| | - Amir H. Faraji
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, Texas
| | - Mark A. Mahan
- Department of Neurosurgery, Clinical Neurosciences Center, The University of Utah, Salt Lake City
| | - Lynda J. Yang
- Department of Neurological Surgery, University of Michigan School of Medicine, Ann Arbor
| | - Rajiv Midha
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Neringa Juknis
- Physical Medicine and Rehabilitation, Washington University, St Louis, Missouri
| | - Wilson Z. Ray
- Department of Neurological Surgery, Washington University, St Louis, Missouri
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13
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Dietz VA, Roberts N, Knox K, Moore S, Pitonak M, Barr C, Centeno J, Leininger S, New KC, Nowell P, Rodreick M, Geoffroy CG, Stampas A, Dulin JN. Fighting for recovery on multiple fronts: The past, present, and future of clinical trials for spinal cord injury. Front Cell Neurosci 2022; 16:977679. [PMID: 36212690 PMCID: PMC9533868 DOI: 10.3389/fncel.2022.977679] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 08/15/2022] [Indexed: 11/16/2022] Open
Abstract
Through many decades of preclinical research, great progress has been achieved in understanding the complex nature of spinal cord injury (SCI). Preclinical research efforts have guided and shaped clinical trials, which are growing in number by the year. Currently, 1,149 clinical trials focused on improving outcomes after SCI are registered in the U.S. National Library of Medicine at ClinicalTrials.gov. We conducted a systematic analysis of these SCI clinical trials, using publicly accessible data downloaded from ClinicalTrials.gov. After extracting all available data for these trials, we categorized each trial according to the types of interventions being tested and the types of outcomes assessed. We then evaluated clinical trial characteristics, both globally and by year, in order to understand the areas of growth and change over time. With regard to clinical trial attributes, we found that most trials have low enrollment, only test single interventions, and have limited numbers of primary outcomes. Some gaps in reporting are apparent; for instance, over 75% of clinical trials with "Completed" status do not have results posted, and the Phase of some trials is incorrectly classified as "Not applicable" despite testing a drug or biological compound. When analyzing trials based on types of interventions assessed, we identified the largest representation in trials testing rehab/training/exercise, neuromodulation, and behavioral modifications. Most highly represented primary outcomes include motor function of the upper and lower extremities, safety, and pain. The most highly represented secondary outcomes include quality of life and pain. Over the past 15 years, we identified increased representation of neuromodulation and rehabilitation trials, and decreased representation of drug trials. Overall, the number of new clinical trials initiated each year continues to grow, signifying a hopeful future for the clinical treatment of SCI. Together, our work provides a comprehensive glimpse into the past, present, and future of SCI clinical trials, and suggests areas for improvement in clinical trial reporting.
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Affiliation(s)
- Valerie A. Dietz
- Department of Biology, Texas A&M University, College Station, TX, United States
| | - Nolan Roberts
- Department of Biology, Texas A&M University, College Station, TX, United States
| | - Katelyn Knox
- Department of Biology, Texas A&M University, College Station, TX, United States
| | - Sherilynne Moore
- Department of Biology, Texas A&M University, College Station, TX, United States
| | - Michael Pitonak
- Department of Biology, Texas A&M University, College Station, TX, United States
| | - Chris Barr
- Unite 2 Fight Paralysis, Minneapolis, MN, United States
| | - Jesus Centeno
- Unite 2 Fight Paralysis, Minneapolis, MN, United States
| | | | - Kent C. New
- Unite 2 Fight Paralysis, Minneapolis, MN, United States
| | - Peter Nowell
- Unite 2 Fight Paralysis, Minneapolis, MN, United States
| | | | - Cedric G. Geoffroy
- Department of Neuroscience and Experimental Therapeutics, Texas A&M University, College Station, TX, United States
- Texas A&M Institute for Neuroscience, Texas A&M University, College Station, TX, United States
| | - Argyrios Stampas
- Department of Physical Medicine and Rehabilitation, UTHealth Houston McGovern Medical School, Houston, TX, United States
| | - Jennifer N. Dulin
- Department of Biology, Texas A&M University, College Station, TX, United States
- Texas A&M Institute for Neuroscience, Texas A&M University, College Station, TX, United States
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14
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Standard set of network outcomes for traumatic spinal cord injury: a consensus-based approach using the Delphi method. Spinal Cord 2022; 60:789-798. [PMID: 35332273 DOI: 10.1038/s41393-022-00792-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 03/08/2022] [Accepted: 03/09/2022] [Indexed: 01/22/2023]
Abstract
STUDY DESIGN Consensus study. OBJECTIVES The purpose of this study is to define a standardized (network) outcomes set for traumatic spinal cord injury (t-SCI), covering the patient journey from acute to chronic rehabilitation phase, including patient-relevant outcomes, adequate measurement instruments, as well as case-mix and risk factors. SETTING Acute Spinal Cord Injury (ASCI) Unit Nijmegen, the Netherlands. METHODS A modified Delphi method was performed, including a multidisciplinary panel of 19 health-care professionals with experience in t-SCI management. Formal consensus was reached after two web-based surveys, a face-to-face meeting, and a final confirmation round (threshold consensus: 70%). RESULTS In the first two Delphi rounds, 18/19 invited panelists (94.7%) responded and 10 panelists participated in the final meeting. The prefinal set was confirmed by all panelists. The standard set encompasses the three-tiered outcome hierarchy and consists of patient-reported and clinician-reported outcome domains and measurement instruments. Consensus was reached to include survival, degree of health or recovery, time to recovery, and return to normal activities, disutility of care or treatment process, sustainability of health and nature of recurrences, and long-term consequences of therapy. A measurement schedule was defined as well as for proposed casemix and risk factors, including demographics, clinical status, and treatment process. CONCLUSION A standard set of network outcomes is developed that could be implemented in hospitals and rehabilitation centers involved in the treatment of t-SCI. Using this standard set, comparison of the quality of care is possible and prognostic prediction of outcomes of treatment is feasible, so that each patient receives the right care at the right time in the right place.
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15
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Torres-Espín A, Ferguson AR. Harmonization-Information Trade-Offs for Sharing Individual Participant Data in Biomedicine. HARVARD DATA SCIENCE REVIEW 2022; 4:10.1162/99608f92.a9717b34. [PMID: 36420049 PMCID: PMC9681014 DOI: 10.1162/99608f92.a9717b34] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024] Open
Abstract
Biomedical practice is evidence-based. Peer-reviewed papers are the primary medium to present evidence and data-supported results to drive clinical practice. However, it could be argued that scientific literature does not contain data, but rather narratives about and summaries of data. Meta-analyses of published literature may produce biased conclusions due to the lack of transparency in data collection, publication bias, and inaccessibility to the data underlying a publication ('dark data'). Co-analysis of pooled data at the level of individual research participants can offer higher levels of evidence, but this requires that researchers share raw individual participant data (IPD). FAIR (findable, accessible, interoperable, and reusable) data governance principles aim to guide data lifecycle management by providing a framework for actionable data sharing. Here we discuss the implications of FAIR for data harmonization, an essential step for pooling data for IPD analysis. We describe the harmonization-information trade-off, which states that the level of granularity in harmonizing data determines the amount of information lost. Finally, we discuss a framework for managing the trade-off and the levels of harmonization. In the coming era of funder mandates for data sharing, research communities that effectively manage data harmonization will be empowered to harness big data and advanced analytics such as machine learning and artificial intelligence tools, leading to stunning new discoveries that augment our understanding of diseases and their treatments. By elevating scientific data to the status of a first-class citizen of the scientific enterprise, there is strong potential for biomedicine to transition from a narrative publication product orientation to a modern data-driven enterprise where data itself is viewed as a primary work product of biomedical research.
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Affiliation(s)
- Abel Torres-Espín
- Brain and Spinal Injury Center (BASIC), Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, United States of America
| | - Adam R Ferguson
- Brain and Spinal Injury Center (BASIC), Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, California, United States of America
- San Francisco Veterans Affairs Health Care System, San Francisco, California, United States of America
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16
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Trost Z, Anam M, Seward J, Shum C, Rumble D, Sturgeon J, Mark V, Chen Y, Mitchell L, Cowan R, Perera R, Richardson E, Richards S, Gustin S. Immersive interactive virtual walking reduces neuropathic pain in spinal cord injury: findings from a preliminary investigation of feasibility and clinical efficacy. Pain 2022; 163:350-361. [PMID: 34407034 DOI: 10.1097/j.pain.0000000000002348] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 05/15/2021] [Indexed: 11/26/2022]
Abstract
ABSTRACT Chronic neuropathic pain (NP) is a common and often debilitating secondary condition for persons with spinal cord injury (SCI) and is minimally responsive to existing pharmacological and nonpharmacological treatments. The current preliminary investigation describes the feasibility and initial comparative efficacy of an interactive virtual reality walking intervention, which is a novel extension of visual feedback/illusory walking therapies shown to reduce SCI NP. Virtual reality walking intervention builds on previous research by, for the first time, allowing individuals with SCI NP to volitionally control virtual gait to interact with a fully immersive virtual environment. The current pilot study compared this interactive, virtual walking intervention to a passive, noninteractive virtual walking condition (analogous to previous illusory walking interventions) in 27 individuals with complete paraplegia (interactive condition, n = 17; passive condition, n = 10; nonrandomized design). The intervention was delivered over 2 weeks in individuals' homes. Participants in the interactive condition endorsed significantly greater reductions in NP intensity and NP-related activity interference preintervention to postintervention. Notable improvements in mood and affect were also observed both within individual sessions and in response to the full intervention. These results, although preliminary, highlight the potentially potent effects of an interactive virtual walking intervention for SCI NP. The current study results require replication in a larger, randomized clinical trial and may form a valuable basis for future inquiry regarding the mechanisms and clinical applications of virtual walking therapies.
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Affiliation(s)
- Zina Trost
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, United States
| | - Monima Anam
- University of Alabama at Birmingham, Birmingham, AL, United States
| | - Joshua Seward
- University of Alabama at Birmingham, Birmingham, AL, United States
| | - Corey Shum
- Immersive Experience Labs, Birmingham, AL, United States
| | - Deanna Rumble
- University of Alabama at Birmingham, Birmingham, AL, United States
| | - John Sturgeon
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, United States
| | - Victor Mark
- University of Alabama at Birmingham, Birmingham, AL, United States
| | - Yuying Chen
- University of Alabama at Birmingham, Birmingham, AL, United States
| | - Lucie Mitchell
- University of Alabama at Birmingham, Birmingham, AL, United States
| | - Rachel Cowan
- University of Alabama at Birmingham, Birmingham, AL, United States
| | - Robert Perera
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, United States
| | | | - Scott Richards
- University of Alabama at Birmingham, Birmingham, AL, United States
| | - Sylvia Gustin
- School of Psychology, University of New South Wales, Sydney, Australia
- Centre for Pain IMPACT, Neuroscience Research Australia, Sydney, Australia
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Torres-Espín A, Almeida CA, Chou A, Huie JR, Chiu M, Vavrek R, Sacramento J, Orr MB, Gensel JC, Grethe JS, Martone ME, Fouad K, Ferguson AR. Promoting FAIR Data Through Community-driven Agile Design: the Open Data Commons for Spinal Cord Injury (odc-sci.org). Neuroinformatics 2022; 20:203-219. [PMID: 34347243 PMCID: PMC9537193 DOI: 10.1007/s12021-021-09533-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2021] [Indexed: 01/07/2023]
Abstract
The past decade has seen accelerating movement from data protectionism in publishing toward open data sharing to improve reproducibility and translation of biomedical research. Developing data sharing infrastructures to meet these new demands remains a challenge. One model for data sharing involves simply attaching data, irrespective of its type, to publisher websites or general use repositories. However, some argue this creates a 'data dump' that does not promote the goals of making data Findable, Accessible, Interoperable and Reusable (FAIR). Specialized data sharing communities offer an alternative model where data are curated by domain experts to make it both open and FAIR. We report on our experiences developing one such data-sharing ecosystem focusing on 'long-tail' preclinical data, the Open Data Commons for Spinal Cord Injury (odc-sci.org). ODC-SCI was developed with community-based agile design requirements directly pulled from a series of workshops with multiple stakeholders (researchers, consumers, non-profit funders, governmental agencies, journals, and industry members). ODC-SCI focuses on heterogeneous tabular data collected by preclinical researchers including bio-behaviour, histopathology findings and molecular endpoints. This has led to an example of a specialized neurocommons that is well-embraced by the community it aims to serve. In the present paper, we provide a review of the community-based design template and describe the adoption by the community including a high-level review of current data assets, publicly released datasets, and web analytics. Although odc-sci.org is in its late beta stage of development, it represents a successful example of a specialized data commons that may serve as a model for other fields.
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Affiliation(s)
- Abel Torres-Espín
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, Department of Neurological Surgery, University of California San Francisco, San Francisco, CA USA
| | - Carlos A. Almeida
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, Department of Neurological Surgery, University of California San Francisco, San Francisco, CA USA
| | - Austin Chou
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, Department of Neurological Surgery, University of California San Francisco, San Francisco, CA USA
| | - J. Russell Huie
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, Department of Neurological Surgery, University of California San Francisco, San Francisco, CA USA
| | - Michael Chiu
- Department of Neuroscience, University of California, San Diego, San Diego, CA USA
| | - Romana Vavrek
- Faculty of Rehabilitation Medicine and the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB Canada
| | - Jeff Sacramento
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, Department of Neurological Surgery, University of California San Francisco, San Francisco, CA USA
| | - Michael B. Orr
- Spinal Cord and Brain Injury Research Center, Department of Physiology, University of Kentucky College of Medicine, Lexington, KY USA
| | - John C. Gensel
- Spinal Cord and Brain Injury Research Center, Department of Physiology, University of Kentucky College of Medicine, Lexington, KY USA
| | - Jeffery S. Grethe
- Department of Neuroscience, University of California, San Diego, San Diego, CA USA
| | - Maryann E. Martone
- Department of Neuroscience, University of California, San Diego, San Diego, CA USA
| | - Karim Fouad
- Faculty of Rehabilitation Medicine and the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB Canada
| | - Adam R. Ferguson
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, Department of Neurological Surgery, University of California San Francisco, San Francisco, CA USA ,San Francisco Veterans Affairs Health Care System, San Francisco, CA USA
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18
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Characterizing Natural Recovery of People With Initial Motor Complete Tetraplegia. Arch Phys Med Rehabil 2021; 103:649-656. [PMID: 34800476 DOI: 10.1016/j.apmr.2021.09.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 08/02/2021] [Accepted: 09/17/2021] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To determine the differences in neurologic recovery in persons with initial cervical American Spinal Cord Injury Association Impairment Scale (AIS) grades A and B over time. DESIGN Retrospective analysis of data from people with traumatic cervical spinal cord injury (SCI) enrolled in the National Spinal Cord Injury Model Systems (SCIMS) database from 2011-2019. SETTING SCIMS centers. PARTICIPANTS Individuals (N=187) with traumatic cervical (C1-C7 motor level) SCI admitted with initial AIS grade A and B injuries within 30 days of injury, age 16 years or older, upper extremity motor score (UEMS) ≤20 on both sides, and complete neurologic data at admission and follow-up between 6 months and 2 years. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Conversion in AIS grades, UEMS and lower extremity motor scores (LEMS), and sensory scores. RESULTS Mean time to initial and follow-up examinations were 16.1±7.3 days and 377.5±93.4 days, respectively. Conversion from an initial cervical AIS grades A and B to motor incomplete status was 13.4% and 50.0%, respectively. The mean UEMS change for people with initial AIS grades A and B did not differ (7.8±6.5 and 8.8±6.1; P=.307), but people with AIS grade B experienced significantly higher means of LEMS change (2.3±7.4 and 8.8±13.9 (P≤.001). The increased rate of conversion to motor incomplete status from initial AIS grade B appears to be the primary driving factor of increased overall motor recovery. Individuals with initial AIS grade B had greater improvement in sensory scores. CONCLUSIONS While UEMS recovery is similar in persons with initial AIS grades A and B, the rate of conversion to motor incomplete status, LEMS, and sensory recovery are significantly different. This information is important for clinical as well as research considerations.
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Murphy SA, Furger R, Kurpad SN, Arpinar VE, Nencka A, Koch K, Budde MD. Filtered Diffusion-Weighted MRI of the Human Cervical Spinal Cord: Feasibility and Application to Traumatic Spinal Cord Injury. AJNR Am J Neuroradiol 2021; 42:2101-2106. [PMID: 34620590 DOI: 10.3174/ajnr.a7295] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 07/07/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE In traumatic spinal cord injury, DTI is sensitive to injury but is unable to differentiate multiple pathologies. Axonal damage is a central feature of the underlying cord injury, but prominent edema confounds its detection. The purpose of this study was to examine a filtered DWI technique in patients with acute spinal cord injury. MATERIALS AND METHODS The MR imaging protocol was first evaluated in a cohort of healthy subjects at 3T (n = 3). Subsequently, patients with acute cervical spinal cord injury (n = 8) underwent filtered DWI concurrent with their acute clinical MR imaging examination <24 hours postinjury at 1.5T. DTI was obtained with 25 directions at a b-value of 800 s/mm2. Filtered DWI used spinal cord-optimized diffusion-weighting along 26 directions with a "filter" b-value of 2000 s/mm2 and a "probe" maximum b-value of 1000 s/mm2. Parallel diffusivity metrics obtained from DTI and filtered DWI were compared. RESULTS The high-strength diffusion-weighting perpendicular to the cord suppressed signals from tissues outside of the spinal cord, including muscle and CSF. The parallel ADC acquired from filtered DWI at the level of injury relative to the most cranial region showed a greater decrease (38.71%) compared with the decrease in axial diffusivity acquired by DTI (17.68%). CONCLUSIONS The results demonstrated that filtered DWI is feasible in the acute setting of spinal cord injury and reveals spinal cord diffusion characteristics not evident with conventional DTI.
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Affiliation(s)
- S A Murphy
- From the Department of Neurosurgery (S.A.M., R.F., S.N.K., M.D.B.)
| | - R Furger
- From the Department of Neurosurgery (S.A.M., R.F., S.N.K., M.D.B.)
- Center for Neurotrauma Research (R.F., S.N.K., M.D.B.)
| | - S N Kurpad
- From the Department of Neurosurgery (S.A.M., R.F., S.N.K., M.D.B.)
- Center for Neurotrauma Research (R.F., S.N.K., M.D.B.)
| | - V E Arpinar
- Center for Imaging Research (V.E.A., A.N., K.K.), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - A Nencka
- Center for Imaging Research (V.E.A., A.N., K.K.), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - K Koch
- Center for Imaging Research (V.E.A., A.N., K.K.), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - M D Budde
- From the Department of Neurosurgery (S.A.M., R.F., S.N.K., M.D.B.)
- Center for Neurotrauma Research (R.F., S.N.K., M.D.B.)
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20
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Tulsky DS, Kisala PA. Overview of the Spinal Cord Injury-Functional Index (SCI-FI): Structure and Recent Advances. Arch Phys Med Rehabil 2021; 103:185-190. [PMID: 34756875 DOI: 10.1016/j.apmr.2021.10.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 10/18/2021] [Indexed: 11/02/2022]
Abstract
The Spinal Cord Injury - Functional Index is a system of patient reported outcomes (PRO) measures of functional activities developed specifically with and for individuals with spinal cord injury (SCI). The SCI-FI was designed to overcome limitations in measurement of the full range of activities and breadth of content of physical functioning commonly used in SCI research. Generic measurement tools of physical function (i.e., those focused on the general population) tend to overemphasize mobility and do not contain enough items at the lower end of the functional range (e.g., appropriate for individuals with tetraplegia). The SCI-FI consists of nine item response theory (IRT)-calibrated item banks that represent relevant and meaningful item content for individuals with SCI, span a wide range of functional abilities, and subdivide physical functioning into important subdomains, including basic mobility, self-care, and fine motor function. Since the original publication of the SCI-FI in 2012, there have been significant advances in and publications on the reliability and psychometric properties of the measures. The manuscripts presented in this special section clarify the SCI-FI structure and present new research on the SCI-FI measurement system.
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Affiliation(s)
- David S Tulsky
- Center for Health Assessment Research and Translation (CHART), University of Delaware, Newark, DE; Departments of Physical Therapy and Psychological and Brain Sciences, University of Delaware, Newark, DE.
| | - Pamela A Kisala
- Center for Health Assessment Research and Translation (CHART), University of Delaware, Newark, DE
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21
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Dunn JA, Koch-Borner S, Johanson ME, Wangdell J. Toward Consensus in Assessing Upper Limb Muscle Strength and Pinch and Grip Strength in People With Tetraplegia Having Upper Limb Reconstructions. Top Spinal Cord Inj Rehabil 2021; 27:70-82. [PMID: 34456548 DOI: 10.46292/sci20-00012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Objectives To reach agreement on standardized protocols for assessing upper limb strength and grip and pinch force for upper limb reconstructive surgery for tetraplegia. Methods Selected members of an expert panel composed of international therapists formed at the 2018 International Congress for Upper Limb Surgery for Tetraplegia conducted a literature review of current practice that identified gaps and inconsistencies in measurement protocols and presented to workshop attendees. To resolve discrepancies, a set of questions was presented to workshop attendees who voted electronically. Consensus was set at 75% agreement. Results For manual muscle testing, consensus was reached for using the Medical Research Council scale, without plus or minus, and the use of resistance through range when testing grade 4 and grade 5 strength. Pectoralis major and serratus anterior should be routinely tested, however there was no consensus on other shoulder muscles. Grip and pinch strength should be tested according to the American Society of Hand Therapists positioning. For grip strength, either the Jamar or Biometrics dynamometer expressed in kilograms should be used. For grip and pinch strength, three measurements should be performed at each testing. No consensus was reached on a device for pinch strength. Conclusion This work is an important step to enable comparable data in the future. Further consensus methods will work toward developing more comprehensive guidelines in this population. Building international consensus for pre- and postoperative measures of function supports objective evaluation of novel therapies and interpretation of multicenter studies.
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Affiliation(s)
- Jennifer A Dunn
- Department of Orthopaedic Surgery and Musculoskeletal Medicine, University of Otago Christchurch, Christchurch, New Zealand
| | | | - M Elise Johanson
- VA Palo Alto Health Care System, Research and Spinal Cord Injury/Disability Services, Palo Alto, California
| | - Johanna Wangdell
- Center of Advanced Reconstruction of Extremities, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Hand Surgery, Institute of Clinical Sciences, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
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22
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Haddad AF, Burke JF, Dhall SS. The Natural History of Spinal Cord Injury. Neurosurg Clin N Am 2021; 32:315-321. [PMID: 34053719 DOI: 10.1016/j.nec.2021.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The natural history of spinal cord injury is in a state of flux. Our knowledge about the prevalence, epidemiology, and natural history spinal cord injury is in evolution. In this article, we summarize these considerations to provide a state-of-the-art synopsis of the neurologic outcomes of this condition.
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Affiliation(s)
- Alexander F Haddad
- Department of Neurological Surgery, University of California, San Francisco, 505 Parnassus Avenue, M779, San Francisco, CA 94143, USA
| | - John F Burke
- Department of Neurological Surgery, University of California, San Francisco, 505 Parnassus Avenue, M779, San Francisco, CA 94143, USA
| | - Sanjay S Dhall
- Department of Neurological Surgery, University of California, San Francisco, 505 Parnassus Avenue, M779, San Francisco, CA 94143, USA.
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23
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Sangari S, Kirshblum S, Guest JD, Oudega M, Perez MA. Distinct patterns of spasticity and corticospinal connectivity following complete spinal cord injury. J Physiol 2021; 599:4441-4454. [PMID: 34107068 DOI: 10.1113/jp281862] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 06/01/2021] [Indexed: 11/08/2022] Open
Abstract
KEY POINTS Damage to corticospinal axons have implications for the development of spasticity following spinal cord injury (SCI). Here, we examined to which extent residual corticospinal connections and spasticity are present in muscles below the injury (quadriceps femoris and soleus) in humans with motor complete thoracic SCI. We found three distinct sub-groups of people: participants with spasticity and corticospinal responses in the quadriceps femoris and soleus, participants with spasticity and corticospinal responses in the quadriceps femoris only, and participants with no spasticity or corticospinal responses in either muscle. Spasticity and corticospinal responses were present in the quadriceps but never only in the soleus muscle, suggesting a proximal to distal gradient of symptoms of hyperreflexia. These results suggest that concomitant patterns of residual corticospinal connectivity and spasticity exist in humans with motor complete SCI and that a clinical exam of spasticity might be a good predictor of residual corticospinal connectivity. ABSTRACT The loss of corticospinal axons has implications for the development of spasticity following spinal cord injury (SCI). However, the extent to which residual corticospinal connections and spasticity are present across muscles below the injury remains unknown. To address this question, we tested spasticity using the Modified Ashworth Scale and transmission in the corticospinal pathway by examining motor evoked potentials elicited by transcranial magnetic stimulation over the leg motor cortex (cortical MEPs) and by direct activation of corticospinal axons by electrical stimulation over the thoracic spine (thoracic MEPs), in the quadriceps femoris and soleus muscles, in 30 individuals with motor complete thoracic SCI. Cortical MEPs were also conditioned by thoracic electrical stimulation at intervals allowing their summation or collision. We found three distinct sub-groups of participants: 47% showed spasticity in the quadriceps femoris and soleus muscle, 30% showed spasticity in the quadriceps femoris muscle only, and 23% showed no spasticity in either muscle. While cortical MEPs were present only in the quadriceps in participants with spasticity, thoracic MEPs were present in both muscles when spasticity was present. Thoracic electrical stimulation facilitated and suppressed cortical MEPs, showing that both forms of stimulation activated similar corticospinal axons. Cortical and thoracic MEPs correlated with the degree of spasticity in both muscles. These results provide the first evidence that related patterns of residual corticospinal connectivity and spasticity exist in muscles below the injury after motor complete thoracic SCI and highlight that a clinical exam of spasticity can predict residual corticospinal connectivity after severe paralysis. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Sina Sangari
- Shirley Ryan AbilityLab, Chicago, Illinois, 60611.,Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, Illinois, 60611
| | - Steven Kirshblum
- Kessler Institute for Rehabilitation, Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - James D Guest
- The Miami Project to Cure Paralysis, University of Miami, Miami, 33136
| | - Martin Oudega
- Shirley Ryan AbilityLab, Chicago, Illinois, 60611.,Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois, 60611.,Edward Hines Jr. VA Hospital, Hines, Illinois, 60141
| | - Monica A Perez
- Shirley Ryan AbilityLab, Chicago, Illinois, 60611.,Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, Illinois, 60611.,Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois, 60611.,Edward Hines Jr. VA Hospital, Hines, Illinois, 60141
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24
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Thompson RM. CORR Insights®: Does a History of Slipped Capital Femoral Epiphysis in Patients Undergoing Femoroacetabular Osteoplasty for Femoroacetabular Impingement Affect Outcomes Scores or Risk of Reoperation? Clin Orthop Relat Res 2021; 479:1037-1039. [PMID: 33369589 PMCID: PMC8083803 DOI: 10.1097/corr.0000000000001615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 11/25/2020] [Indexed: 01/31/2023]
Affiliation(s)
- Rachel M Thompson
- R. M. Thompson, Assistant Professor-in-Residence, Department of Orthopaedic Surgery, University of California Los Angeles, Santa Monica, CA, USA
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25
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Tsolinas RE, Burke JF, DiGiorgio AM, Thomas LH, Duong-Fernandez X, Harris MH, Yue JK, Winkler EA, Suen CG, Pascual LU, Ferguson AR, Huie JR, Pan JZ, Hemmerle DD, Singh V, Torres-Espin A, Omondi C, Kyritsis N, Haefeli J, Weinstein PR, de Almeida Neto CA, Kuo YH, Taggard D, Talbott JF, Whetstone WD, Manley GT, Bresnahan JC, Beattie MS, Dhall SS. Transforming Research and Clinical Knowledge in Spinal Cord Injury (TRACK-SCI): an overview of initial enrollment and demographics. Neurosurg Focus 2021; 48:E6. [PMID: 32357323 DOI: 10.3171/2020.2.focus191030] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 02/14/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Traumatic spinal cord injury (SCI) is a dreaded condition that can lead to paralysis and severe disability. With few treatment options available for patients who have suffered from SCI, it is important to develop prospective databases to standardize data collection in order to develop new therapeutic approaches and guidelines. Here, the authors present an overview of their multicenter, prospective, observational patient registry, Transforming Research and Clinical Knowledge in SCI (TRACK-SCI). METHODS Data were collected using the National Institute of Neurological Disorders and Stroke (NINDS) common data elements (CDEs). Highly granular clinical information, in addition to standardized imaging, biospecimen, and follow-up data, were included in the registry. Surgical approaches were determined by the surgeon treating each patient; however, they were carefully documented and compared within and across study sites. Follow-up visits were scheduled for 6 and 12 months after injury. RESULTS One hundred sixty patients were enrolled in the TRACK-SCI study. In this overview, basic clinical, imaging, neurological severity, and follow-up data on these patients are presented. Overall, 78.8% of the patients were determined to be surgical candidates and underwent spinal decompression and/or stabilization. Follow-up rates to date at 6 and 12 months are 45% and 36.3%, respectively. Overall resources required for clinical research coordination are also discussed. CONCLUSIONS The authors established the feasibility of SCI CDE implementation in a multicenter, prospective observational study. Through the application of standardized SCI CDEs and expansion of future multicenter collaborations, they hope to advance SCI research and improve treatment.
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Affiliation(s)
- Rachel E Tsolinas
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of
| | - John F Burke
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Anthony M DiGiorgio
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Leigh H Thomas
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Xuan Duong-Fernandez
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Mark H Harris
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - John K Yue
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Ethan A Winkler
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Catherine G Suen
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Lisa U Pascual
- 4Orthopaedic Surgery and Orthopedic Trauma Institute, Zuckerberg San Francisco General Hospital.,5Orthopedic Surgery
| | - Adam R Ferguson
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience.,6San Francisco Veterans Affairs Healthcare System
| | - J Russell Huie
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Jonathan Z Pan
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,7Anesthesia and Perioperative Care
| | - Debra D Hemmerle
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Vineeta Singh
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,3Weill Institutes for Neuroscience.,8Neurology, and
| | - Abel Torres-Espin
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Cleopa Omondi
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Nikos Kyritsis
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Jenny Haefeli
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Philip R Weinstein
- 2Neurological Surgery.,3Weill Institutes for Neuroscience.,9Institute for Neurodegenerative Diseases, Spine Center, University of California San Francisco
| | - Carlos A de Almeida Neto
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Yu-Hung Kuo
- 12Department of Neurological Surgery, University of California San Francisco-Fresno, Fresno, California
| | - Derek Taggard
- 12Department of Neurological Surgery, University of California San Francisco-Fresno, Fresno, California
| | - Jason F Talbott
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,10Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, San Francisco; and
| | | | - Geoffrey T Manley
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
| | - Jacqueline C Bresnahan
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Michael S Beattie
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery.,3Weill Institutes for Neuroscience
| | - Sanjay S Dhall
- 1Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of.,2Neurological Surgery
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26
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Berliner JC, O'Dell DR, Albin SR, Dungan D, Sevigny M, Elliott JM, Weber KA, Abdie DR, Anderson JS, Rich AA, Seib CA, Sagan HGS, Smith AC. The influence of conventional T 2 MRI indices in predicting who will walk outside one year after spinal cord injury. J Spinal Cord Med 2021; 46:501-507. [PMID: 33798025 PMCID: PMC10116921 DOI: 10.1080/10790268.2021.1907676] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
CONTEXT/OBJECTIVE Magnetic resonance imaging (MRI) indices of spinal cord damage are predictive of future motor function after spinal cord injury (SCI): hyperintensity length, midsagittal tissue bridges, and Brain and Spinal Injury Center (BASIC) scores. Whether these indices are predictive of outdoor walking after SCI is unknown. The primary purpose was to see if these MRI indices predict the ability to walk outdoors one-year after SCI. The secondary purpose was to determine if MRI indices provide additional predictive value if initial lower extremity motor scores are available. DESIGN Retrospective. Clinical T2-weighted MRIs were used to quantify spinal cord damage. Three MRI indices were calculated: midsagittal ventral tissue bridges, hyperintensity length, BASIC scores. SETTING Academic hospital. PARTICIPANTS 129 participants with cervical SCI. INTERVENTIONS Inpatient rehabilitation. OUTCOMES MEASURES One year after SCI, participants self-reported their outdoor walking ability. RESULTS Midsagittal ventral tissue bridges, hyperintensity length, and BASIC scores significantly correlated with outdoor walking ability (R = 0.34, P < 0.001; R = -0.25, P < 0.01; Rs = -0.35, P < 001, respectively). Using midsagittal ventral tissue bridges and hyperintensity length, the final adjusted R2 for model 1 = 0.19. For model 2, the adjusted R2 using motor scores alone = 0.81 and MRI variables were non-significant. All five participants with observable intramedullary hemorrhage reported they were unable to walk one block outdoors. CONCLUSIONS The MRI indices were significant predictors of outdoor walking ability, but when motor scores were available, this was the strongest predictor and neither midsagittal tissue bridges nor hyperintensity length contributed additional value. MRI indices may be a quick and convenient supplement to physical examination when motor testing is unavailable.
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Affiliation(s)
| | - Denise R O'Dell
- Craig Hospital, Englewood, Colorado, USA.,Regis University School of Physical Therapy, Denver, Colorado, USA
| | | | - David Dungan
- Craig Hospital, Englewood, Colorado, USA.,Radiology Imaging Associates, Denver, Colorado, USA
| | | | - James M Elliott
- Faculty of Medicine and Health, The University of Sydney, Northern Sydney Local Health District, The Kolling Research Institute, St Leonards, Sydney, Australia
| | - Kenneth A Weber
- Stanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Palo Alto, California, USA
| | - Daniel R Abdie
- Regis University School of Physical Therapy, Denver, Colorado, USA
| | - Jack S Anderson
- Regis University School of Physical Therapy, Denver, Colorado, USA
| | - Alison A Rich
- Regis University School of Physical Therapy, Denver, Colorado, USA
| | - Carly A Seib
- Regis University School of Physical Therapy, Denver, Colorado, USA
| | - Hannah G S Sagan
- Regis University School of Physical Therapy, Denver, Colorado, USA
| | - Andrew C Smith
- Regis University School of Physical Therapy, Denver, Colorado, USA.,Department of Physical Medicine and Rehabilitation Physical Therapy Program, University of Colorado School of Medicine, Aurora, Colorado, USA
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27
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Kyritsis N, Torres-Espín A, Schupp PG, Huie JR, Chou A, Duong-Fernandez X, Thomas LH, Tsolinas RE, Hemmerle DD, Pascual LU, Singh V, Pan JZ, Talbott JF, Whetstone WD, Burke JF, DiGiorgio AM, Weinstein PR, Manley GT, Dhall SS, Ferguson AR, Oldham MC, Bresnahan JC, Beattie MS. Diagnostic blood RNA profiles for human acute spinal cord injury. J Exp Med 2021; 218:e20201795. [PMID: 33512429 PMCID: PMC7852457 DOI: 10.1084/jem.20201795] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 11/18/2020] [Accepted: 12/22/2020] [Indexed: 12/14/2022] Open
Abstract
Diagnosis of spinal cord injury (SCI) severity at the ultra-acute stage is of great importance for emergency clinical care of patients as well as for potential enrollment into clinical trials. The lack of a diagnostic biomarker for SCI has played a major role in the poor results of clinical trials. We analyzed global gene expression in peripheral white blood cells during the acute injury phase and identified 197 genes whose expression changed after SCI compared with healthy and trauma controls and in direct relation to SCI severity. Unsupervised coexpression network analysis identified several gene modules that predicted injury severity (AIS grades) with an overall accuracy of 72.7% and included signatures of immune cell subtypes. Specifically, for complete SCIs (AIS A), ROC analysis showed impressive specificity and sensitivity (AUC: 0.865). Similar precision was also shown for AIS D SCIs (AUC: 0.938). Our findings indicate that global transcriptomic changes in peripheral blood cells have diagnostic and potentially prognostic value for SCI severity.
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Affiliation(s)
- Nikos Kyritsis
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Abel Torres-Espín
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Patrick G. Schupp
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Brain Tumor Center, University of California, San Francisco, San Francisco, CA
| | - J. Russell Huie
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Austin Chou
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Xuan Duong-Fernandez
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Leigh H. Thomas
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Rachel E. Tsolinas
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Debra D. Hemmerle
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Lisa U. Pascual
- Orthopaedic Trauma Institute, Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, CA
| | - Vineeta Singh
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Jonathan Z. Pan
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, CA
| | - Jason F. Talbott
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA
| | - William D. Whetstone
- Department of Emergency Medicine, University of California, San Francisco, San Francisco, CA
| | - John F. Burke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
| | - Anthony M. DiGiorgio
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Philip R. Weinstein
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Department of Neurology, University of California, San Francisco, San Francisco, CA
- Weill Institute for Neurosciences, Institute for Neurodegenerative Diseases, Spine Center, University of California, San Francisco, San Francisco, CA
| | - Geoffrey T. Manley
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Sanjay S. Dhall
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Adam R. Ferguson
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA
| | - Michael C. Oldham
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Brain Tumor Center, University of California, San Francisco, San Francisco, CA
| | - Jacqueline C. Bresnahan
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
| | - Michael S. Beattie
- Weill Institute for Neurosciences, Brain and Spinal Injury Center, University of California, San Francisco, San Francisco, CA
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA
- Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA
- San Francisco Veterans Affairs Healthcare System, San Francisco, CA
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Fisher J, Krisa L, Middleton DM, Leiby BE, Harrop JS, Shah LM, Schwartz ED, Doshi A, Faro SH, Mohamed FB, Flanders AE. Validation of the National Institute of Neurological Disorders and Stroke Spinal Cord Injury MRI Common Data Elements Instrument. AJNR Am J Neuroradiol 2021; 42:787-793. [PMID: 33574102 DOI: 10.3174/ajnr.a7000] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 10/26/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The National Institute of Neurological Disorders and Stroke common data elements initiative was created to provide a consistent method for recording and reporting observations related to neurologic diseases in clinical trials. The purpose of this study is to validate the subset of common data elements related to MR imaging evaluation of acute spinal cord injury. MATERIALS AND METHODS Thirty-five cervical and thoracic MR imaging studies of patients with acute spinal cord injury were evaluated independently in 2 rounds by 5 expert reviewers. Intra- and interrater agreement were calculated for 17 distinct MR imaging observations related to spinal cord injury. These included ordinal, categoric, and continuous measures related to the length and location of spinal cord hemorrhage and edema as well as spinal canal and cord measurements. Level of agreement was calculated using the interclass correlation coefficient and kappa. RESULTS The ordinal common data elements spinal cord injury elements for lesion center and rostral or caudal extent of edema or hemorrhage demonstrated agreement ranging from interclass correlation coefficient 0.68 to 0.99. Reproducibility ranged from 0.95 to 1.00. Moderate agreement was observed for absolute length of hemorrhage and edema (0.54 to 0.60) with good reproducibility (0.78 to 0.83). Agreement for the Brain and Spinal Injury Center score showed the lowest interrater agreement with an overall kappa of 0.27 (0.20, 0.34). For 7 of the 8 variables related to spinal cord injury, agreement improved between the first and second evaluation. Continuous diameter measures of the spinal cord and spinal canal using interclass correlation coefficient varied substantially (0.23 to 0.83). CONCLUSIONS Agreement was more consistent for the ordinal measures of spinal cord injury than continuous measures. Good to excellent agreement on length and location of spinal cord hemorrhage and edema can be achieved with ordinal measures alone.
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Affiliation(s)
- J Fisher
- From the Departments of Radiology (J.F., D.M.M., S.H.F., F.B.M., A.E.F.)
| | - L Krisa
- Physical Therapy/Occupational Therapy (L.K.)
| | - D M Middleton
- From the Departments of Radiology (J.F., D.M.M., S.H.F., F.B.M., A.E.F.)
| | | | - J S Harrop
- Neurosurgery (J.S.H.), Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
| | - L M Shah
- Department of Radiology (L.M.S.), University of Utah, Salt Lake City, Utah
| | - E D Schwartz
- Department of Radiology (E.D.S.), Saint Elizabeth's Medical Center, Brighton, Massachusetts
| | - A Doshi
- Department of Radiology (A.D.), Mount Sinai Medical Center, New York, New York
| | - S H Faro
- From the Departments of Radiology (J.F., D.M.M., S.H.F., F.B.M., A.E.F.)
| | - F B Mohamed
- From the Departments of Radiology (J.F., D.M.M., S.H.F., F.B.M., A.E.F.)
| | - A E Flanders
- From the Departments of Radiology (J.F., D.M.M., S.H.F., F.B.M., A.E.F.)
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Santamaria AJ, Benavides FD, Saraiva PM, Anderson KD, Khan A, Levi AD, Dietrich WD, Guest JD. Neurophysiological Changes in the First Year After Cell Transplantation in Sub-acute Complete Paraplegia. Front Neurol 2021; 11:514181. [PMID: 33536992 PMCID: PMC7848788 DOI: 10.3389/fneur.2020.514181] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 11/05/2020] [Indexed: 12/15/2022] Open
Abstract
Neurophysiological testing can provide quantitative information about motor, sensory, and autonomic system connectivity following spinal cord injury (SCI). The clinical examination may be insufficiently sensitive and specific to reveal evolving changes in neural circuits after severe injury. Neurophysiologic data may provide otherwise imperceptible circuit information that has rarely been acquired in biologics clinical trials in SCI. We reported a Phase 1 study of autologous purified Schwann cell suspension transplantation into the injury epicenter of participants with complete subacute thoracic SCI, observing no clinical improvements. Here, we report longitudinal electrophysiological assessments conducted during the trial. Six participants underwent neurophysiology screening pre-transplantation with three post-transplantation neurophysiological assessments, focused on the thoracoabdominal region and lower limbs, including MEPs, SSEPs, voluntarily triggered EMG, and changes in GSR. We found several notable signals not detectable by clinical exam. In all six participants, thoracoabdominal motor connectivity was detected below the clinically assigned neurological level defined by sensory preservation. Additionally, small voluntary activations of leg and foot muscles or positive lower extremity MEPs were detected in all participants. Voluntary EMG was most sensitive to detect leg motor function. The recorded MEP amplitudes and latencies indicated a more caudal thoracic level above which amplitude recovery over time was observed. In contrast, further below, amplitudes showed less improvement, and latencies were increased. Intercostal spasms observed with EMG may also indicate this thoracic “motor level.” Galvanic skin testing revealed autonomic dysfunction in the hands above the injury levels. As an open-label study, we can establish no clear link between these observations and cell transplantation. This neurophysiological characterization may be of value to detect therapeutic effects in future controlled studies.
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Affiliation(s)
- Andrea J Santamaria
- The Miami Project to Cure Paralysis, Miller School of Medicine, The University of Miami, Miami, FL, United States
| | - Francisco D Benavides
- The Miami Project to Cure Paralysis, Miller School of Medicine, The University of Miami, Miami, FL, United States
| | - Pedro M Saraiva
- The Miami Project to Cure Paralysis, Miller School of Medicine, The University of Miami, Miami, FL, United States
| | - Kimberly D Anderson
- The Miami Project to Cure Paralysis, Miller School of Medicine, The University of Miami, Miami, FL, United States.,The Department of Neurological Surgery, Miller School of Medicine, The University of Miami, Miami, FL, United States
| | - Aisha Khan
- The Miami Project to Cure Paralysis, Miller School of Medicine, The University of Miami, Miami, FL, United States.,Miller School of Medicine, The Interdisciplinary Stem Cell Institute, The University of Miami, Miami, FL, United States
| | - Allan D Levi
- The Miami Project to Cure Paralysis, Miller School of Medicine, The University of Miami, Miami, FL, United States.,The Department of Neurological Surgery, Miller School of Medicine, The University of Miami, Miami, FL, United States
| | - W Dalton Dietrich
- The Miami Project to Cure Paralysis, Miller School of Medicine, The University of Miami, Miami, FL, United States.,The Department of Neurological Surgery, Miller School of Medicine, The University of Miami, Miami, FL, United States
| | - James D Guest
- The Miami Project to Cure Paralysis, Miller School of Medicine, The University of Miami, Miami, FL, United States.,The Department of Neurological Surgery, Miller School of Medicine, The University of Miami, Miami, FL, United States
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McHugh LV, Miller AA, Leech KA, Salorio C, Martin RH. Feasibility and utility of transcutaneous spinal cord stimulation combined with walking-based therapy for people with motor incomplete spinal cord injury. Spinal Cord Ser Cases 2020; 6:104. [PMID: 33239606 PMCID: PMC7688947 DOI: 10.1038/s41394-020-00359-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 10/21/2020] [Accepted: 10/22/2020] [Indexed: 12/03/2022] Open
Abstract
STUDY DESIGN Prospective case series. OBJECTIVES To evaluate the feasibility and preliminary efficacy of combining transcutaneous spinal cord stimulation (TSCS) with walking-based physical therapy. SETTING Hospital-based outpatient center in Maryland, United States. METHODS Ten individuals with chronic (>1 year) motor incomplete spinal cord injury (iSCI) completed 23 sessions of 2-h therapy over 8 weeks. TSCS was delivered for the first 30 min of each session using a clinically available device with adjustable current. To assess feasibility of the intervention, we tracked pain, adverse events, and participant retention. Preliminary efficacy was assessed by evaluating changes in walking speed, endurance, and quality following the intervention with select functional outcome measures (10-m walk test (10MWT), 6-min walk test (6MWT), timed up and go, and walking index for spinal cord injury II). RESULTS We found that the combined intervention was feasible in an outpatient clinical setting. Participants tolerated the TSCS well, with no reports of significant adverse events or other issues (e.g., skin irritation or pain that disrupted training). None of the participants elected to discontinue the study. Participants also showed significant improvements in each measure of walking function following the intervention. Changes in walking speed, as measured by the 10MWT (0.56 ± 0.29 m/s to 0.72 ± 0.36 m/s), exceeded the minimal clinically important difference for individuals with iSCI. Changes in walking quality and endurance, as measured by the 6MWT (149.88 ± 99.87 m to 194.53 ± 106.56 m), exceeded the minimal detectable change for individuals with iSCI. CONCLUSIONS These results indicate that TSCS is clinically feasible and may be useful as an adjunct to walking-based therapy for adults with iSCI.
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Affiliation(s)
- Liza V McHugh
- International Center for Spinal Cord Injury, Hugo W. Moser Research Institute at Kennedy Krieger Institute, Baltimore, MD, 21205, USA
| | - Ashley A Miller
- International Center for Spinal Cord Injury, Hugo W. Moser Research Institute at Kennedy Krieger Institute, Baltimore, MD, 21205, USA
| | - Kristan A Leech
- Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA, 90007, USA
| | - Cynthia Salorio
- International Center for Spinal Cord Injury, Hugo W. Moser Research Institute at Kennedy Krieger Institute, Baltimore, MD, 21205, USA
- Department of Physical Medicine and Rehabilitation, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Rebecca H Martin
- International Center for Spinal Cord Injury, Hugo W. Moser Research Institute at Kennedy Krieger Institute, Baltimore, MD, 21205, USA.
- Department of Physical Medicine and Rehabilitation, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
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Inoue T, Ichikawa D, Ueno T, Cheong M, Inoue T, Whetstone WD, Endo T, Nizuma K, Tominaga T. XGBoost, a Machine Learning Method, Predicts Neurological Recovery in Patients with Cervical Spinal Cord Injury. Neurotrauma Rep 2020; 1:8-16. [PMID: 34223526 PMCID: PMC8240917 DOI: 10.1089/neur.2020.0009] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The accurate prediction of neurological outcomes in patients with cervical spinal cord injury (SCI) is difficult because of heterogeneity in patient characteristics, treatment strategies, and radiographic findings. Although machine learning algorithms may increase the accuracy of outcome predictions in various fields, limited information is available on their efficacy in the management of SCI. We analyzed data from 165 patients with cervical SCI, and extracted important factors for predicting prognoses. Extreme gradient boosting (XGBoost) as a machine learning model was applied to assess the reliability of a machine learning algorithm to predict neurological outcomes compared with that of conventional methodology, such as a logistic regression or decision tree. We used regularly obtainable data as predictors, such as demographics, magnetic resonance variables, and treatment strategies. Predictive tools, including XGBoost, a logistic regression, and a decision tree, were applied to predict neurological improvements in the functional motor status (ASIA [American Spinal Injury Association] Impairment Scale [AIS] D and E) 6 months after injury. We evaluated predictive performance, including accuracy and the area under the receiver operating characteristic curve (AUC). Regarding predictions of neurological improvements in patients with cervical SCI, XGBoost had the highest accuracy (81.1%), followed by the logistic regression (80.6%) and the decision tree (78.8%). Regarding AUC, the logistic regression showed 0.877, followed by XGBoost (0.867) and the decision tree (0.753). XGBoost reliably predicted neurological alterations in patients with cervical SCI. The utilization of predictive machine learning algorithms may enhance personalized management choices through pre-treatment categorization of patients.
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Affiliation(s)
- Tomoo Inoue
- Department of Neurosurgery, National Health Organization Sendai Medical Center, Sendai, Miyagi, Japan
| | | | | | - Maxwell Cheong
- Department of Radiology, Stanford University School of Medicine, Palo Alto, California, USA
| | - Takashi Inoue
- Department of Neurosurgery, National Health Organization Sendai Medical Center, Sendai, Miyagi, Japan
| | - William D. Whetstone
- Department of Emergency Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Toshiki Endo
- Department of Neurosurgery, National Health Organization Sendai Medical Center, Sendai, Miyagi, Japan
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Kuniyasu Nizuma
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
- Department of Neurosurgical Engineering and Translational Neuroscience, Graduate School of Biomedical Engineering, Tohoku University, Sendai, Miyagi, Japan
- Department of Neurosurgical Engineering and Translational Neuroscience, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Teiji Tominaga
- Department of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
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Predictors of Intraspinal Pressure and Optimal Cord Perfusion Pressure After Traumatic Spinal Cord Injury. Neurocrit Care 2020; 30:421-428. [PMID: 30328047 PMCID: PMC6420421 DOI: 10.1007/s12028-018-0616-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Background/Objectives We recently developed techniques to monitor intraspinal pressure (ISP) and spinal cord perfusion pressure (SCPP) from the injury site to compute the optimum SCPP (SCPPopt) in patients with acute traumatic spinal cord injury (TSCI). We hypothesized that ISP and SCPPopt can be predicted using clinical factors instead of ISP monitoring. Methods Sixty-four TSCI patients, grades A–C (American spinal injuries association Impairment Scale, AIS), were analyzed. For 24 h after surgery, we monitored ISP and SCPP and computed SCPPopt (SCPP that optimizes pressure reactivity). We studied how well 28 factors correlate with mean ISP or SCPPopt including 7 patient-related, 3 injury-related, 6 management-related, and 12 preoperative MRI-related factors. Results All patients underwent surgery to restore normal spinal alignment within 72 h of injury. Fifty-one percentage had U-shaped sPRx versus SCPP curves, thus allowing SCPPopt to be computed. Thirteen percentage, all AIS grade A or B, had no U-shaped sPRx versus SCPP curves. Thirty-six percentage (22/64) had U-shaped sPRx versus SCPP curves, but the SCPP did not reach the minimum of the curve, and thus, an exact SCPPopt could not be calculated. In total 5/28 factors were associated with lower ISP: older age, excess alcohol consumption, nonconus medullaris injury, expansion duroplasty, and less intraoperative bleeding. In a multivariate logistic regression model, these 5 factors predicted ISP as normal or high with 73% accuracy. Only 2/28 factors correlated with lower SCPPopt: higher mean ISP and conus medullaris injury. In an ordinal multivariate logistic regression model, these 2 factors predicted SCPPopt as low, medium–low, medium–high, or high with only 42% accuracy. No MRI factors correlated with ISP or SCPPopt. Conclusions Elevated ISP can be predicted by clinical factors. Modifiable factors that may lower ISP are: reducing surgical bleeding and performing expansion duroplasty. No factors accurately predict SCPPopt; thus, invasive monitoring remains the only way to estimate SCPPopt. Electronic supplementary material The online version of this article (10.1007/s12028-018-0616-7) contains supplementary material, which is available to authorized users.
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Common Data Elements for Unruptured Intracranial Aneurysms and Subarachnoid Hemorrhage Clinical Research: A National Institute for Neurological Disorders and Stroke and National Library of Medicine Project. Neurocrit Care 2020; 30:4-19. [PMID: 31087257 DOI: 10.1007/s12028-019-00723-6] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVES The goal for this project was to develop a comprehensive set of common data elements (CDEs), data definitions, case report forms and guidelines for use in unruptured intracranial aneurysm (UIA) and subarachnoid hemorrhage (SAH) clinical research, as part of a new joint effort between the National Institute of Neurological Disorders and Stroke (NINDS) and the National Library of Medicine of the US National Institutes of Health. These UIA and SAH CDEs will join several other neurological disease-specific CDEs that have already been developed and are available for use by research investigators. METHODS A Working Group (WG) divided into eight sub-groups and a Steering Committee comprised of international UIA and SAH experts reviewed existing NINDS CDEs and instruments, created new elements when needed and provided recommendations for UIA and SAH clinical research. The recommendations were compiled, internally reviewed by the entire UIA and SAH WG and posted online for 6 weeks for external public comments. The UIA and SAH WG and the NINDS CDE team reviewed the final version before posting the SAH Version 1.0 CDE recommendations. RESULTS The NINDS UIA and SAH CDEs and supporting documents are publicly available on the NINDS CDE ( https://www.commondataelements.ninds.nih.gov/#page=Default ) and NIH Repository ( https://cde.nlm.nih.gov/home ) websites. The recommendations are organized into domains including Participant Characteristics and Outcomes and Endpoints. CONCLUSION Dissemination and widespread use of CDEs can facilitate UIA and SAH clinical research and clinical trial design, data sharing, and analyses of observational retrospective and prospective data. It is vital to maintain an international and multidisciplinary collaboration to ensure that these CDEs are implemented and updated when new information becomes available.
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Amtmann D, Bocell FD, McMullen K, Bamer AM, Johnson KL, Wiechman SA, Schneider JC. Satisfaction With Life Over Time in People With Burn Injury: A National Institute on Disability, Independent Living, and Rehabilitation Research Burn Model System Study. Arch Phys Med Rehabil 2020; 101:S63-S70. [DOI: 10.1016/j.apmr.2017.09.119] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 09/07/2017] [Accepted: 09/25/2017] [Indexed: 01/07/2023]
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Chun A, Delgado AD, Tsai CY, Spielman L, Taylor K, Ramirez A, Huang V, Kolakowsky-Hayner SA, Escalon MX, Bryce TN. An interview based approach to the anorectal portion of the International Standards of Neurological Classification of Spinal Cord Injury Exam (I-A-ISNCSCI): a pilot study. Spinal Cord 2019; 58:553-559. [PMID: 31822807 DOI: 10.1038/s41393-019-0399-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Revised: 11/28/2019] [Accepted: 11/28/2019] [Indexed: 12/12/2022]
Abstract
STUDY DESIGN Prospective, single-blinded study. OBJECTIVE To design and evaluate the use of an interview based version of the anorectal portion of the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) exam in the acute inpatient rehabilitation (AIR) setting. SETTING AIR unit. METHODS Participants admitted to AIR underwent standard ISNCSCI exams (S-ISNCSCI) as part of routine inpatient care within 3 days of being administered an interview version of the anorectal portion of the ISNCSCI (I-A-ISNCSCI). Agreement between the anorectal portion of the S-ISNCSCI (S-A-ISNCSCI) and the I-A-ISNCSCI was evaluated. RESULTS Forty of forty-five enrolled participants completed the assessments. Agreement between the I-A-ISNCSCI and S-A-ISNCSCI was substantial for anorectal sensation to light touch (k = 0.71, 95% CI 0.52-0.90, N = 36), pin prick (k = 0.68, 95% CI 0.48-0.87, N = 38), deep anal pressure (k = 0.77, 95% CI 0.53-1.00, N = 37), and completeness of injury based on combined sacral sensory criteria (k = 0.72, 95% CI 0.47-0.97, N = 40); and fair for voluntary anal contraction (k = 0.29, 95% CI -0.01 to 0.59, N = 36). Responses of "I don't know" were excluded from agreement analyses. CONCLUSIONS This pilot study was a first step in developing interview based tools such as the I-A-ISNCSCI in an AIR setting providing convenient access to individuals with SCI and their direct feedback. The study design introduces potential recall bias and may not match true clinical situations such as remote follow-up of neurological changes for chronic patients. The use of interview based tools for assessing individuals with SCI remains worthy of further study.
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Affiliation(s)
- Audrey Chun
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA.
| | - Andrew D Delgado
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA.,The Graduate School of Biomedical Sciences, ISMMS, New York, NY, USA
| | - Chung-Ying Tsai
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Lisa Spielman
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Kristell Taylor
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA.,The Graduate School of Biomedical Sciences, ISMMS, New York, NY, USA
| | - Arianny Ramirez
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Vincent Huang
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Stephanie A Kolakowsky-Hayner
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Miguel X Escalon
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
| | - Thomas N Bryce
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai (ISMMS), New York, NY, USA
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Batista KG, Reis KB, Campelo RDCL, Lana MRV, Polese JC. Comparação da incapacidade percebida e independência funcional em indivíduos com lesão medular atletas e não atletas. FISIOTERAPIA E PESQUISA 2019. [DOI: 10.1590/1809-2950/18046626042019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
RESUMO Os comprometimentos da funcionalidade em indivíduos com lesão medular (LM) geram complicações secundárias, sendo o descondicionamento físico preponderante e um exacerbador das complicações da lesão. O objetivo foi avaliar em atletas e não atletas com LM a incapacidade percebida e a independência funcional. Os questionários WHODAS 2.0 e SCIM III foram aplicados em 37 voluntários com LM e seus dados sociodemográficos foram coletados. Os escores totais do WHODAS 2.0 e SCIM III de indivíduos com LM torácica e LM cervical foram comparados por meio do teste de Mann-Whitney. Quanto à incapacidade percebida observou-se diferença significativa no WHODAS 2.0 entre atletas e não atletas com LM torácica. Em relação à independência funcional não houve diferenças significativas entre os grupos no SCIM III. Apesar de a prática esportiva promover benefícios para a saúde, no grupo de indivíduos com LM cervical não foram encontradas diferenças significativas, o que pode ser explicado pelo maior grau de comprometimento motor desses indivíduos.
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Carney J, Fisher R, Augutis M, Charlifue S, Biering-Sørensen F, Höfers W, Hwang M, Wayne New P, Post M, Sadowsky C, Vogel L, Augustine L, Dent K, Mulcahey MJ. Development of the International Spinal Cord Injury/Dysfunction Education Basic Data Set. Spinal Cord Ser Cases 2019; 5:87. [PMID: 31700685 PMCID: PMC6821817 DOI: 10.1038/s41394-019-0229-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 08/02/2019] [Accepted: 08/11/2019] [Indexed: 11/08/2022] Open
Abstract
Study design Consensus among international experts. Objectives The objective of this project was to develop the International Spinal Cord Injury/Dysfunction (SCI/D) Education Basic Data Set. Setting International expert working group. Methods The published guidelines for developing the International SCI Basic Data Sets were used to develop the International SCI/D Education Basic Data Set. Existing measures and literature on education and disability were reviewed to develop a preliminary draft of the basic education data set through iterative modifications via biweekly conference calls and email communication. The draft was disseminated to the larger International Workgroup for Development of Pediatric SCI/D Basic Data Sets and then to the members of the International Spinal Cord Society (ISCoS), American Spinal Injury Association (ASIA), and relevant expert groups and interested individuals for comments. All feedback received was taken into consideration before the final data set was approved by ISCoS and ASIA. Results The finalized version of the International SCI/D Education Basic Data Set Version 1.0 contains 16 items divided into three domains: school setting/therapeutic services, school participation/academic success, and barriers/attitudes. Most of the variables have been adapted from established measures. This data set is intended for children and youth up to and including high school, but not for emerging adults in higher education or postsecondary vocational training or trade schools. Conclusion The International SCI/D Education Basic Data Set has been developed for collection of a minimal amount of highly relevant information on the education experience in children and youth with SCI/D. Further validation work is needed. Sponsorship This project was funded by the Rick Hansen Institute, Research Award #G2015-27 (Mulcahey, PI).
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Affiliation(s)
- Joan Carney
- Rehabilitation Department, Kennedy Krieger Rehabilitation Institute, Baltimore, MD USA
| | | | - Marika Augutis
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | | | - Fin Biering-Sørensen
- Department of Spinal Cord Injuries, Neuroscience Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Wiebke Höfers
- Physiotherapy Department, Sunnaas Hospital, Bjørnemyr, Norway
| | - Miriam Hwang
- Research Department, Shriners Hospitals for Children, Chicago, IL USA
| | - Peter Wayne New
- Epworth-Monash Rehabilitation Unit, Department of Epidemilogy and Preventitive Medicine, School of Public Health and Preventative Medicine, Monash University, Melbourne, Australia
| | - Marcel Post
- Center of Excellence for Rehabilitation Medicine, Brain Center Rudolf Magnus, University Utrecht and De Hoogstraat Rehabilitation, Utrecht, Netherlands
| | - Cristina Sadowsky
- Rehabilitation Department, Kennedy Krieger Rehabilitation Institute, Baltimore, MD USA
| | - Lawrence Vogel
- Research Department, Shriners Hospitals for Children, Chicago, IL USA
| | - Lilly Augustine
- School of Education and Psychology, Jönköping University, Jönköping, Sweden
| | - Kathryn Dent
- Department of Occupational Therapy, Center for Outcomes and Measurement, Jefferson College of Rehabilitation Sciences, Jefferson (Philadelphia University+Thomas Jefferson University), Philadelphia, PA USA
| | - M. J. Mulcahey
- Department of Occupational Therapy, Center for Outcomes and Measurement, Jefferson College of Rehabilitation Sciences, Jefferson (Philadelphia University+Thomas Jefferson University), Philadelphia, PA USA
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Majedi H, Safdarian M, Hajiaghababaei M, Vaccaro AR, Rahimi-Movaghar V. Characteristics of neuropathic pain in individuals with chronic spinal cord injury. ACTA ACUST UNITED AC 2019; 23:292-300. [PMID: 30351286 PMCID: PMC8015567 DOI: 10.17712/nsj.2018.4.20180223] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Objectives: To present the characteristics of neuropathic pain in individuals with chronic spinal cord injury (SCI). Methods: We recruited all individuals with chronic SCI referred to the Brain and Spine Injury Research center with a diagnosis of neuropathic pain from April 2013 to September 2015 into this historical cohort study. Results: Forty individuals with chronic SCI-induced neuropathic pain entered this study with a mean age of 43.67±13.12 years and a majority of who were male (n=30, 75%). Motor vehicle collision (n=25, 62.5%) and fall (n=7, 17.5%) were the most common causes of SCI in our participants. There were 13 (32.5%) cervical, twenty (50%) thoracic, and 7 (17.5%) lumbosacral SCI. The mean ‘maximal pain intensity’, ‘overall pain intensity during the past week’, and ‘the pain intensity at the initial consultation in pain clinic’ measured by numerical rating scale (NRS) in this cohort were 8.71±1.73, 6.32±1.60, and 6.11±2.48, respectively. Burning pain was the most frequently used description of pain reported by our participants. Pain intensity significantly decreased after six months of treatment for all three above categories. Conclusion: This study provides characteristics of neuropathic pain in a group of individuals with chronic SCI. Further large prospective studies are needed to determine the association between lesion level, completeness of injury, and region of pain.
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Affiliation(s)
- Hossein Majedi
- Department of Anesthesiology, School of Medicine, and from Brain and Spinal Cord Injury Research Center, Neuroscience InstituteTehran University of Medical Sciences, Tehran, Iran
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Application of electrophysiological measures in spinal cord injury clinical trials: a narrative review. Spinal Cord 2019; 57:909-923. [PMID: 31337870 DOI: 10.1038/s41393-019-0331-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 07/08/2019] [Accepted: 07/09/2019] [Indexed: 01/05/2023]
Abstract
STUDY DESIGN Narrative review. OBJECTIVES To discuss how electrophysiology may contribute to future clinical trials in spinal cord injury (SCI) in terms of: (1) improvement of SCI diagnosis, patient stratification and determination of exclusion criteria; (2) the assessment of adverse events; and (3) detection of therapeutic effects following an intervention. METHODS An international expert panel for electrophysiological measures in SCI searched and discussed the literature focused on the topic. RESULTS Electrophysiology represents a valid method to detect, track, and quantify readouts of nerve functions including signal conduction, e.g., evoked potentials testing long spinal tracts, and neural processing, e.g., reflex testing. Furthermore, electrophysiological measures can predict functional outcomes and thereby guide rehabilitation programs and therapeutic interventions for clinical studies. CONCLUSION Objective and quantitative measures of sensory, motor, and autonomic function based on electrophysiological techniques are promising tools to inform and improve future SCI trials. Complementing clinical outcome measures, electrophysiological recordings can improve the SCI diagnosis and patient stratification, as well as the detection of both beneficial and adverse events. Specifically composed electrophysiological measures can be used to characterize the topography and completeness of SCI and reveal neuronal integrity below the lesion, a prerequisite for the success of any interventional trial. Further validation of electrophysiological tools with regard to their validity, reliability, and sensitivity are needed in order to become routinely applied in clinical SCI trials.
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Gibbs K, Beaufort A, Stein A, Leung TM, Sison C, Bloom O. Assessment of pain symptoms and quality of life using the International Spinal Cord Injury Data Sets in persons with chronic spinal cord injury. Spinal Cord Ser Cases 2019; 5:32. [PMID: 31240125 PMCID: PMC6474307 DOI: 10.1038/s41394-019-0178-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 03/15/2019] [Accepted: 03/17/2019] [Indexed: 02/06/2023] Open
Abstract
Introduction Traumatic spinal cord injury (SCI) triggers complex changes that can negatively impact health and quality of life. The International SCI Data Sets were developed to enable more comparable data collection on the complex sequelae of SCI across studies. This should facilitate progress in mechanistic understanding and improving treatments of SCI. Study design Prospective observational pilot study. Objectives To collect data on pain symptoms and quality of life (QoL) in adults living with chronic SCI. Setting Academic medical center, New York, USA. Methods The International SCI Basic Pain and Qol Data Sets were used to collect data from participants with chronic SCI (N = 31) at 2 study visits held 6 months apart. The QoL Data Set was also used to collect data from able-bodied persons of similar age and gender distribution (N = 28). Results Most participants with SCI had multiple types and locations of pain problems at both study visits, despite reported being treated for pain. At both visits, the worst pain problem type was nociceptive, followed by neuropathic, which was typically rated of higher intensity. QoL scores were significantly lower across all domains of the data set in persons with SCI than able-bodied persons. Persons with pain tended to have lower QoL scores, although this trend was not significant. Conclusions This study demonstrates the presence, complexity and stability of pain symptoms refractory to treatment and lower quality of life ratings in persons with chronic SCI. Sponsorship Grants from the Craig H. Neilsen Foundation, New York Empire Clinical Research Program, New York State Spinal Cord Injury Research Board.
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Affiliation(s)
- Katie Gibbs
- The Feinstein Institute for Medical Research, New York, USA
- Department of Physical Medicine and Rehabilitation, Northwell Health, New York, USA
| | | | - Adam Stein
- The Feinstein Institute for Medical Research, New York, USA
- Department of Physical Medicine and Rehabilitation, Northwell Health, New York, USA
| | | | - Cristina Sison
- Biostatistics Unit, Northwell Health, New York, USA
- Department of Molecular Medicine, Zucker School of Medicine at Hofstra-Northwell, New York, USA
| | - Ona Bloom
- The Feinstein Institute for Medical Research, New York, USA
- Department of Physical Medicine and Rehabilitation, Northwell Health, New York, USA
- Department of Molecular Medicine, Zucker School of Medicine at Hofstra-Northwell, New York, USA
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Grasse KM, Hays SA, Rahebi KC, Warren VS, Garcia EA, Wigginton JG, Kilgard MP, Rennaker RL. A suite of automated tools to quantify hand and wrist motor function after cervical spinal cord injury. J Neuroeng Rehabil 2019; 16:48. [PMID: 30975167 PMCID: PMC6458684 DOI: 10.1186/s12984-019-0518-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 03/27/2019] [Indexed: 01/15/2023] Open
Abstract
Background Cervical spinal cord injury (cSCI) often causes chronic upper extremity disability. Reliable measurement of arm function is critical for development of therapies to improve recovery after cSCI. In this study, we report a suite of automated rehabilitative tools to allow simple, quantitative assessment of hand and wrist motor function. Methods We measured range of motion and force production using these devices in cSCI participants with a range of upper limb disability and in neurologically intact participants at two time points separated by approximately 4 months. Additionally, we determined whether measures collected with the rehabilitative tools correlated with standard upper limb assessments, including the Graded Redefined Assessment of Strength, Sensibility, and Prehension (GRASSP) and the Jebsen Hand Function Test (JHFT). Results We find that the rehabilitative devices are useful to provide assessment of upper limb function in physical units over time in SCI participants and are well-correlated with standard assessments. Conclusions These results indicate that these tools represent a reliable system for longitudinal evaluation of upper extremity function after cSCI and may provide a framework to assess the efficacy of strategies aimed at improving recovery of upper limb function. Electronic supplementary material The online version of this article (10.1186/s12984-019-0518-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Katelyn M Grasse
- The University of Texas at Dallas, Texas Biomedical Device Center800 West Campbell Road, Richardson, TX, 75080-3021, USA.,The University of Texas at Dallas, Erik Jonsson School of Engineering and Computer Science, 800 West Campbell Road, Richardson, TX, 75080-3021, USA
| | - Seth A Hays
- The University of Texas at Dallas, Texas Biomedical Device Center800 West Campbell Road, Richardson, TX, 75080-3021, USA. .,The University of Texas at Dallas, Erik Jonsson School of Engineering and Computer Science, 800 West Campbell Road, Richardson, TX, 75080-3021, USA. .,The University of Texas at Dallas, School of Behavioral Brain Sciences, 800 West Campbell Road, Richardson, TX, 75080-3021, USA.
| | - Kimiya C Rahebi
- The University of Texas at Dallas, Texas Biomedical Device Center800 West Campbell Road, Richardson, TX, 75080-3021, USA
| | - Victoria S Warren
- The University of Texas at Dallas, Texas Biomedical Device Center800 West Campbell Road, Richardson, TX, 75080-3021, USA
| | - Elizabeth A Garcia
- The University of Texas at Dallas, Texas Biomedical Device Center800 West Campbell Road, Richardson, TX, 75080-3021, USA
| | - Jane G Wigginton
- The University of Texas at Dallas, Texas Biomedical Device Center800 West Campbell Road, Richardson, TX, 75080-3021, USA
| | - Michael P Kilgard
- The University of Texas at Dallas, Texas Biomedical Device Center800 West Campbell Road, Richardson, TX, 75080-3021, USA.,The University of Texas at Dallas, School of Behavioral Brain Sciences, 800 West Campbell Road, Richardson, TX, 75080-3021, USA
| | - Robert L Rennaker
- The University of Texas at Dallas, Texas Biomedical Device Center800 West Campbell Road, Richardson, TX, 75080-3021, USA.,The University of Texas at Dallas, Erik Jonsson School of Engineering and Computer Science, 800 West Campbell Road, Richardson, TX, 75080-3021, USA.,The University of Texas at Dallas, School of Behavioral Brain Sciences, 800 West Campbell Road, Richardson, TX, 75080-3021, USA
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MR Imaging for Assessing Injury Severity and Prognosis in Acute Traumatic Spinal Cord Injury. Radiol Clin North Am 2019; 57:319-339. [DOI: 10.1016/j.rcl.2018.09.004] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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Dijkers MP. A beginner's guide to data stewardship and data sharing. Spinal Cord 2019; 57:169-182. [PMID: 30723254 DOI: 10.1038/s41393-018-0232-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2018] [Revised: 11/28/2018] [Accepted: 12/03/2018] [Indexed: 11/09/2022]
Abstract
STUDY DESIGN A narrative review of principles, benefits and disadvantages, as well as methods of research data sharing. OBJECTIVES To assist prospective Spinal Cord authors and others with understanding and implementing data sharing, so that various benefits of such sharing can accrue to all spinal cord injury research stakeholders. SETTING International. METHODS The medical research and health care services literature was reviewed nonsystematically for relevant articles, and web sites were explored for information and services offered by various pertinent organizations. RESULTS Grant makers, professional organizations, research journals, publishers, and other entities in the research field increasingly stress the ethics as well as societal and practical benefits of data sharing, and require researchers to do so within a reasonable time after data collection ends. Sharing data, retrospectively, generally requires much time and resources, but when a data management plan is part of a research proposal from the start, costs are limited, and grant makers allow these costs to be part of a budget. There are many organizations that offer information on or even assist with preparing data for sharing and actual deposit in a data repository. CONCLUSIONS The requirement of data sharing is not likely to go away, and researchers interested in submitting their reports to Spinal Cord would do well to familiarize themselves with the myriad practical issues involved in preparing data for sharing.
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Affiliation(s)
- Marcel P Dijkers
- Department of Physical Medicine and Rehabilitation, Wayne State University, Detroit, MI, USA.
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Simko LC, Chen L, Amtmann D, Gibran N, Herndon D, Kowalske K, Miller AC, Bulger E, Friedman R, Wolfe A, Chung KK, Mosier M, Jeng J, Giacino J, Zafonte R, Kazis LE, Schneider JC, Ryan CM. Challenges to the Standardization of Trauma Data Collection in Burn, Traumatic Brain Injury, Spinal Cord Injury, and Other Trauma Populations: A Call for Common Data Elements for Acute and Longitudinal Trauma Databases. Arch Phys Med Rehabil 2018; 100:891-898. [PMID: 31030731 DOI: 10.1016/j.apmr.2018.10.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 09/21/2018] [Accepted: 10/08/2018] [Indexed: 10/28/2022]
Abstract
OBJECTIVE Common data elements (CDEs) promote data sharing, standardization, and uniform data collection, which facilitate meta-analyses and comparisons of studies. Currently, there is no set of CDEs for all trauma populations, but their creation would allow researchers to leverage existing databases to maximize research on trauma outcomes. The purpose of this study is to assess the extent of common data collection among 5 trauma databases. DESIGN The data dictionaries of 5 trauma databases were examined to determine the extent of common data collection. Databases included 2 acute care databases (American Burn Association's National Burn Data Standard and American College of Surgeons' National Trauma Data Standard) and 3 longitudinal trauma databases (Burn, Traumatic Brain Injury, Spinal Cord Injury Model System National Databases). Data elements and data values were compared across the databases. Quantitative and qualitative variations in the data were identified to highlight meaningful differences between datasets. SETTING N/A. PARTICIPANTS N/A. INTERVENTIONS N/A. MAIN OUTCOME MEASURES N/A. RESULTS Of the 30 data elements examined, 14 (47%) were present in all 5 databases. Another 9 (30%) elements were present in 4 of the 5 databases. The number of elements present in each database ranged from 23 (77%) to 26 (86%). There were inconsistencies in the data values across the databases. Twelve of the 14 data elements present in all 5 databases exhibited differences in data values. CONCLUSIONS This study demonstrates inconsistencies in the documentation of data elements in 5 common trauma databases. These discrepancies are a barrier to database harmonization and to maximizing the use of these databases through linking, pooling, and comparing data. A collaborative effort is required to develop a standardized set of elements for trauma research.
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Affiliation(s)
- Laura C Simko
- Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA
| | - Liang Chen
- Massachusetts General Hospital, Shriners Hospitals for Children-Boston, Harvard Medical School, Boston, MA
| | | | - Nicole Gibran
- Harborview Medical Center, University of Washington, Seattle, WA
| | - David Herndon
- University of Texas Medical Branch, Shriners Hospitals for Children-Galveston, Galveston, TX
| | - Karen Kowalske
- University of Texas Southwestern Medical Center, Dallas, TX
| | - A Cate Miller
- The National Institute on Disability, Independent Living, and Rehabilitation Research, Administration for Community Living, Department of Health and Human Services, Washington, DC
| | - Eileen Bulger
- Harborview Medical Center, University of Washington, Seattle, WA
| | - Ryan Friedman
- Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA
| | - Audrey Wolfe
- Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA
| | - Kevin K Chung
- Uniformed Services University of the Health Sciences, Brooke Army Medical Center, Houston, TX
| | | | - James Jeng
- Mt. Sinai Beth Israel, Mt. Sinai School of Medicine, New York, NY
| | - Joseph Giacino
- Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA
| | - Ross Zafonte
- Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA
| | - Lewis E Kazis
- Boston University School of Public Health, Boston, MA
| | | | - Colleen M Ryan
- Massachusetts General Hospital, Shriners Hospitals for Children-Boston, Harvard Medical School, Boston, MA.
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Ho C, Guilcher SJT, McKenzie N, Mouneimne M, Williams A, Voth J, Chen Y, Cronin S, Noonan VK, Jaglal SB. Validation of Algorithm to Identify Persons with Non-traumatic Spinal Cord Dysfunction in Canada Using Administrative Health Data. Top Spinal Cord Inj Rehabil 2018; 23:333-342. [PMID: 29339909 DOI: 10.1310/sci2304-333] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background: Administrative health data, such as the hospital Discharge Abstract Database (DAD), can potentially be used to identify patients with non-traumatic spinal cord dysfunction (NTSCD). Algorithms utilizing administrative health data for this purpose should be validated before clinical use. Objective: To validate an algorithm designed to identify patients with NTSCD through DAD. Method: DAD between 2006 and 2016 for Southern Alberta in Canada were obtained through Alberta Health Services. Cases of NTSCD were identified using the algorithm designed by the research team. These were then validated by chart review using electronic medical records where possible and paper records where electronic records were unavailable. Measures of diagnostic accuracy including sensitivity, specificity, and positive and negative predictive values and 95% confidence intervals (CI) were computed. Results: Two hundred and eighty cases were identified to have both the administrative codes for neurological impairments and NTSCD etiology. Twenty-eight cases were excluded from analysis as 5 had inadequate medical record information, 17 had traumatic spinal cord injury, and 6 were considered "other" non-spinal cord conditions. Measures of diagnostic accuracy that were computed were sensitivity 97% (95% CI, 94%-98%), specificity 60% (95% CI, 47%-73%), positive predictive value (PPV) 92% (95% CI, 88%-95%), and negative predictive value (NPV) 80% (95% CI, 65%-90%). The most prevalent etiologies were degenerative (36.9%), infection (19.0%), oncology malignant (15.1%), and vascular (10.3%). Conclusion: Our algorithm has high sensitivity and PPV and satisfactory specificity and NPV for the identification of persons with NTSCD using DAD, though the limitations for using this method should be recognized.
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Affiliation(s)
- Chester Ho
- Division of Physical Medicine & Rehabilitation, Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta.,Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta.,Alberta Health Services
| | - Sara J T Guilcher
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario.,Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Ontario.,Institute for Clinical Evaluative Sciences, Toronto, Ontario
| | - Nicole McKenzie
- Division of Physical Medicine & Rehabilitation, Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta
| | | | | | - Jennifer Voth
- Toronto Rehabilitation Institute-University Health Network, Toronto, Ontario
| | | | - Shawna Cronin
- Toronto Rehabilitation Institute-University Health Network, Toronto, Ontario.,Institute of Health Policy, Management, and Evaluation, Toronto, Ontario
| | | | - Susan B Jaglal
- Institute for Clinical Evaluative Sciences, Toronto, Ontario.,Toronto Rehabilitation Institute-University Health Network, Toronto, Ontario.,Institute of Health Policy, Management, and Evaluation, Toronto, Ontario.,Department of Physical Therapy, University of Toronto, Toronto, Ontario
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Development of an International Canine Spinal Cord Injury observational registry: a collaborative data-sharing network to optimize translational studies of SCI. Spinal Cord 2018; 56:656-665. [PMID: 29795173 PMCID: PMC6035082 DOI: 10.1038/s41393-018-0145-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 03/23/2018] [Accepted: 04/09/2018] [Indexed: 11/21/2022]
Abstract
Study Design Prospective cross sectional cohort study Objectives The canine spontaneous model of spinal cord injury (SCI) is as an important pre-clinical platform as it recapitulates key facets of human injury in a naturally occurring context. The establishment of an observational canine SCI registry constitutes a key step in performing epidemiologic studies and assessing the impact of therapeutic strategies to enhance translational research. Further, accumulating information on dogs with SCI may contribute to current “big data” approaches to enhance understanding of the disease using heterogeneous multi-institutional, multi-species data sets from both pre-clinical and human studies. Setting Multiple veterinary academic institutions across the United States and Europe. Methods Common data elements recommended for experimental and human SCI studies were reviewed and adapted for use in a web-based registry, to which all dogs presenting to member veterinary tertiary care facilities were prospectively entered over approximately one year. Results Analysis of data accumulated during the first year of the registry suggests that 16% of dogs with SCI present with severe, sensorimotor complete, injury and that 15% of cases are seen by a tertiary care facility within 8 hours of injury. Similar to the human SCI population, 34% were either overweight or obese. Conclusions Severity of injury and timing of presentation suggests that neuroprotective studies using the canine clinical model could be conducted efficiently using a multi-institutional approach. Additionally, pet dogs with SCI experience similar comorbidities to people with SCI, in particular obesity, and could serve as an important model to evaluate the effects of this condition.
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Johnson JN, Hanson KA, Jones CA, Grandhi R, Guerrero J, Rodriguez JS. Data Sharing in Neurosurgery and Neurology Journals. Cureus 2018; 10:e2680. [PMID: 30050735 PMCID: PMC6059521 DOI: 10.7759/cureus.2680] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 05/08/2018] [Indexed: 12/04/2022] Open
Abstract
In this era of high health care cost and limited research resources, open access to de-identified clinical research study data may promote increased scientific transparency and rigor, allow for the combination and re-analysis of similar data sets, and decrease un-necessary replication of unpublished negative studies. Driven by expanded computing capabilities, advocacy for data sharing to maximize research value is growing in both translational and clinical research communities. The focus of this study is to report on the current status of publicly available research data from studies published in the top 40 neurology and neurosurgery clinical research journals by impact factor. The top journals were carefully reviewed for data sharing policies. Of the journals with data sharing policies, the 10 most current original research papers from December 2015 - February 2016 were reviewed for data sharing statements and data availability. A data sharing policy existed for 48% (19/40) of the 40 journals investigated. Of the 19 journals with an existing data sharing policy, 58% (11/19) of the policies stated that data should be made available to interested parties upon request and 21% (4/19) of these journals encouraged authors to provide a data sharing statement in the article of what data would be available upon request. Of the 190 articles reviewed for data availability, 21% (40/190) of these articles included some source data in the results, figures, or supplementary sections. This evaluation highlights opportunities for neurology and neurosurgery investigators and journals to improve access to study data and even publish the data prospectively for the betterment of clinical outcome analysis and patient care.
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Affiliation(s)
| | - Keith A Hanson
- School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, USA
| | - Caleb A Jones
- School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, USA
| | - Ramesh Grandhi
- Department of Neurological Surgery, University of Texas Health Science Center San Antonio, San Antonio, USA
| | - Jaime Guerrero
- School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, USA
| | - Jesse S Rodriguez
- Department of Neurological Surgery, University of Texas Health Science Center San Antonio, San Antonio, USA
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Wheeler TL, de Groat W, Eisner K, Emmanuel A, French J, Grill W, Kennelly MJ, Krassioukov A, Gallo Santacruz B, Biering-Sørensen F, Kleitman N. Translating promising strategies for bowel and bladder management in spinal cord injury. Exp Neurol 2018; 306:169-176. [PMID: 29753647 PMCID: PMC8117184 DOI: 10.1016/j.expneurol.2018.05.006] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Revised: 04/23/2018] [Accepted: 05/01/2018] [Indexed: 12/18/2022]
Abstract
Loss of control over voiding following spinal cord injury (SCI) impacts autonomy, participation and dignity, and can cause life-threatening complications. The importance of SCI bowel and bladder dysfunction warrants significantly more attention from researchers in the field. To address this gap, key SCI clinicians, researchers, government and private funding organizations met to share knowledge and examine emerging approaches. This report reviews recommendations from this effort to identify and prioritize near-term treatment, investigational and translational approaches to addressing the pressing needs of people with SCI.
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Affiliation(s)
- Tracey L Wheeler
- Craig H. Neilsen Foundation, 16830 Ventura Blvd, Suite 352, Encino, CA 91436, United States.
| | - William de Groat
- University of Pittsburgh, Department of Pharmacology and Chemical Biology, W-1352 Starzl Biomedical Science Tower, University of Pittsburgh Medical School, 200 Lothrop Street, Pittsburgh, PA 15261, United States.
| | - Kymberly Eisner
- Craig H. Neilsen Foundation, 16830 Ventura Blvd, Suite 352, Encino, CA 91436, United States
| | - Anton Emmanuel
- GI Physiology Unit, University College Hospital, London NW1 2BU, UK.
| | - Jennifer French
- Neurotech Network, PO Box 16776, Saint Petersburg, FL 33733, United States.
| | - Warren Grill
- Duke University, Department of Biomedical Engineering, Fitzpatrick CIEMAS, Room 1427, Box 90281, Durham, NC 27708-0281, United States.
| | - Michael J Kennelly
- Carolinas HealthCare System, McKay Urology, 1023 Edgehill Road South, Charlotte, NC 28207, United States.
| | - Andrei Krassioukov
- ICORD, University of British Columbia, GF Strong Rehabilitation Centre, 818 West 10th Avenue, Vancouver, British Columbia V5Z 1M9, Canada
| | | | - Fin Biering-Sørensen
- Rigshospitalet (2081), Blegdamsvej 9, DK-2100 Copenhagen, Denmark; University of Copenhagen, Clinic for Spinal Cord Injuries, NeuroScience Centre Havnevej 25, DK-3100 Hornbæk, Denmark
| | - Naomi Kleitman
- Craig H. Neilsen Foundation, 16830 Ventura Blvd, Suite 352, Encino, CA 91436, United States
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Evaluation of the graded redefined assessment of strength, sensibility and prehension (GRASSP) in children with tetraplegia. Spinal Cord 2018; 56:741-749. [DOI: 10.1038/s41393-018-0084-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Accepted: 02/17/2018] [Indexed: 11/08/2022]
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50
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Lawlor MW, Iannaccone ST, Mathews K, Muntoni F, Alai-Hansen S, Odenkirchen JC, S Feldman R. NINDS Common Data Elements for Congenital Muscular Dystrophy Clinical Research: A National Institute for Neurological Disorders and Stroke Project. J Neuromuscul Dis 2018; 5:75-84. [PMID: 29480213 DOI: 10.3233/jnd-170248] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND A Congenital Muscular Dystrophy (CMD) Working Group (WG) consisting of international experts reviewed common data elements (CDEs) previously developed for other neuromuscular diseases (NMDs) and made recommendations for all types of studies on CMD. OBJECTIVES To develop a comprehensive set of CDEs, data definitions, case report forms and guidelines for use in CMD clinical research to facilitate interoperability of data collection, as part of the CDE project at the National Institute of Neurological Disorders and Stroke (NINDS). METHODS One working group composed of ten experts reviewed existing NINDS CDEs and outcome measures, evaluated the need for new elements, and provided recommendations for CMD clinical research. The recommendations were compiled, internally reviewed by the CMD working group, and posted online for external public comment. The CMD working group and the NIH CDE team reviewed the final version before release. RESULTS The NINDS CMD CDEs and supporting documents are publicly available on the NINDS CDE website (https://www.commondataelements.ninds.nih.gov/CMD.aspx#tab=Data_Standards). Content areas include demographics, social status, health history, physical examination, diagnostic tests, and guidelines for a variety of specific outcomes and endpoints. The CMD CDE WG selected these documents from existing versions that were generated by other disease area working groups. Some documents were tailored to maximize their suitability for the CMD field. CONCLUSIONS Widespread use of CDEs can facilitate CMD clinical research and trial design, data sharing and retrospective analyses. The CDEs that are most relevant to CMD research are like those generated for other NMDs, and CDE documents tailored to CMD are now available to the public. The existence of a single source for these documents facilitates their use in research studies and offers a clear mechanism for the discussion and update of the information as knowledge is gained.
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Affiliation(s)
| | | | | | - Francesco Muntoni
- University College London Great Ormond Street Institute of Child Health, London, UK
| | | | - Joanne C Odenkirchen
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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