Early Trauma Predictors of Mobility in People with Spinal Cord Injury.


Journal

Spine
ISSN: 1528-1159
Titre abrégé: Spine (Phila Pa 1976)
Pays: United States
ID NLM: 7610646

Informations de publication

Date de publication:
15 Oct 2021
Historique:
pubmed: 5 4 2021
medline: 29 9 2021
entrez: 4 4 2021
Statut: ppublish

Résumé

A retrospective cohort study. This study aims to assess the potential value of very early trauma variables such as Abbreviated Injury Scale (AIS) and the Injury Severity Score for predicting independent ambulation following a traumatic spinal cord injury (TSCI). Several models for prediction of ambulation early after TSCI have been published and validated. The vast majority rely on the initial examination of American Spinal Injury Association (ASIA) impairment scale and level of injury; however, in many locations and clinical situations this examination is not feasible early after the injury. Patient characteristics, trauma data, and ASIA scores on admission to rehabilitation were collected for each of the 144 individuals in the study. Outcome measure was the indoor mobility item of the Spinal Cord Independence Measure taken upon discharge from rehabilitation. Univariate and multivariable models were created for each predictor, Odds ratios (ORs) were obtained by a multivariable logistic regression analysis, and area under the receiver operator curve was calculated for each model. We observed a significant correlation between the trauma variables and independent ambulation upon discharge from rehabilitation. Of the early variables, the AIS for the spine region showed the strongest correlation. These findings support using preliminary trauma variables for early prognostication of ambulation following a TSCI, allowing for tailored individual interventions.Level of Evidence: 3.

Sections du résumé

STUDY DESIGN METHODS
A retrospective cohort study.
OBJECTIVE OBJECTIVE
This study aims to assess the potential value of very early trauma variables such as Abbreviated Injury Scale (AIS) and the Injury Severity Score for predicting independent ambulation following a traumatic spinal cord injury (TSCI).
SUMMARY OF BACKGROUND DATA BACKGROUND
Several models for prediction of ambulation early after TSCI have been published and validated. The vast majority rely on the initial examination of American Spinal Injury Association (ASIA) impairment scale and level of injury; however, in many locations and clinical situations this examination is not feasible early after the injury.
METHODS METHODS
Patient characteristics, trauma data, and ASIA scores on admission to rehabilitation were collected for each of the 144 individuals in the study. Outcome measure was the indoor mobility item of the Spinal Cord Independence Measure taken upon discharge from rehabilitation. Univariate and multivariable models were created for each predictor, Odds ratios (ORs) were obtained by a multivariable logistic regression analysis, and area under the receiver operator curve was calculated for each model.
RESULTS RESULTS
We observed a significant correlation between the trauma variables and independent ambulation upon discharge from rehabilitation. Of the early variables, the AIS for the spine region showed the strongest correlation.
CONCLUSION CONCLUSIONS
These findings support using preliminary trauma variables for early prognostication of ambulation following a TSCI, allowing for tailored individual interventions.Level of Evidence: 3.

Identifiants

pubmed: 33813583
doi: 10.1097/BRS.0000000000004053
pii: 00007632-202110150-00010
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

E1089-E1096

Informations de copyright

Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

Références

National Spinal Cord Injury Statistical Center. Spinal Cord Injury Facts and Figures at a Glance. 2020.
Noonan VK, Kwon BK, Soril L, et al. The Rick Hansen Spinal Cord Injury Registry (RHSCIR): A national patient-registry. Spinal Cord 2012; 50:22–27.
O’Connor PJ. Development and utilisation of the Australian spinal cord injury register. Spinal Cord 2000; 38:597–603.
Haider AH, Saleem T, Leow JJ, et al. Influence of the national trauma data bank on the study of trauma outcomes: Is it time to set research best practices to further enhance its impact? J Am Coll Surg 2012; 214:756–768.
Moore L, Clark DE. The value of trauma registries. Injury 2008; 39:686–695.
U.S. Department of Health and Human Services. Model trauma system planning and evaluation. 2006.
Gruen RL, Gabbe BJ, Stelfox HT, et al. Indicators of the quality of trauma care and the performance of trauma systems. Br J Surg 2012; 99:97–104.
Evaniew N, Sharifi B, Waheed Z, et al. The influence of neurological examination timing within hours after acute traumatic spinal cord injuries: an observational study. Spinal Cord 2020; 58:247–254.
Musselman KE, Shah M, Zariffa J. Rehabilitation technologies and interventions for individuals with spinal cord injury: Translational potential of current trends. J Neuroeng Rehabil 2018; 15:40.
Behrman AL, Bowden MG, Nair PM. Neuroplasticity after spinal cord injury and training: an emerging paradigm shift in rehabilitation and walking recovery. Phys Ther 2006; 86:1406–1425.
Scheets PL, Hornby TG, Perry SB, et al. Moving Forward. J Neurol Phys Ther 2021; 45:46–49.
Cowen TD, Meythaler JM, DeVivo MJ, et al. Influence of early variables in traumatic brain injury on functional independence measure scores and rehabilitation length of stay and charges. Arch Phys Med Rehabil 1995; 76:797–803.
Foreman BP, Caesar RR, Parks J, et al. Usefulness of the Abbreviated Injury Score and the Injury Severity Score in comparison to the glasgow coma scale in predicting outcome after traumatic brain injury. J Trauma Inj Infect Crit Care 2007; 62:946–950.
Toschlog EA, MacElligot J, Sagraves SG, et al. The relationship of injury severity score and Glasgow coma score to rehabilitative potential in patients suffering traumatic brain injury. Am Surg 2003; 69:491–497.
Glancy KE, Glancy CJ, Lucke JF, et al. A study of recovery in trauma patients. J Trauma 1992; 33:602–609.
Nemunaitis G, Roach MJ, Claridge J, et al. Early predictors of functional outcome after trauma. PM R 2016; 8:314–320.
Baker SP, O’Neill B, Haddon W, et al. The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. J Trauma 1974; 14:187–196.
Keith RA, Granger CV, Hamilton BB, et al. The functional independence measure: a new tool for rehabilitation. Adv Clin Rehabil 1987; 1:6–18.
Stephan K, Huber S, Häberle S, et al. Spinal cord injury—incidence, prognosis, and outcome: an analysis of the TraumaRegister DGU. Spine J 2015; 15:1994–2001.
Association for the Advancement of Automotive Medicine (AAAM). The abbreviated injury scale. 2015.
Zörner B, Blanckenhorn WU, Dietz V, et al. Clinical algorithm for improved prediction of ambulation and patient stratification after incomplete spinal cord injury. J Neurotrauma 2010; 27:241–252.
Van Middendorp JJ, Hosman AJ, Donders ART, et al. A clinical prediction rule for ambulation outcomes after traumatic spinal cord injury: a longitudinal cohort study. Lancet 2011; 377:1004–1010.
Hicks KE, Zhao Y, Fallah N, et al. A simplified clinical prediction rule for prognosticating independent walking after spinal cord injury: a prospective study from a Canadian multicenter spinal cord injury registry. Spine J 2017; 17:1383–1392.
Engel-Haber E, Zeilig G, Haber S, et al. The effect of age and injury severity on clinical prediction rules for ambulation among individuals with spinal cord injury. Spine J 2020; 20:1666–1675.
Catz A, Itzkovich M, Tesio L, et al. A multicenter international study on the Spinal Cord Independence Measure, version III: Rasch psychometric validation. Spinal Cord 2007; 45:275–291.
Engel-Haber E, Radomislensky I, Ziv A, et al. Establishing the Israeli Spinal Cord Rehabilitation Registry: from acute care to rehabilitation. Int J Neurorehabilitation 2019; 6:4.
Stevenson M, Segui-Gomez M, Lescohier I, et al. An overview of the injury severity score and the new injury severity score. Inj Prev 2001; 7:10–13.
Rozenfeld M, Radomislensky I, Freedman L, et al. ISS groups: are we speaking the same language? Inj Prev 2014; 20:330–335.
American Spinal Injury Association. International standards fo neurological classification of spinal cord injury. J Spinal Cord Med 2011; 34:535–546.
Van Hedel HJA, Dietz V, Meiners T, et al. Walking during daily life can be validly and responsively assessed in subjects with a spinal cord injury. Neurorehabil Neural Repair 2009; 23:117–124.
Alberdi F, García I, Atutxa L, et al. Epidemiology of severe trauma. Med Intensiva 2014; 38:580–588.
Vles WJ, Steyerberg EW, Essink-Bot M-L, et al. Prevalence and determinants of disabilities and return to work after major trauma. J Trauma Inj Infect Crit Care 2005; 58:126–135.
Silfhout L, Van Peters AEJ, Graco M, et al. Validation of the Dutch clinical prediction rule for ambulation outcomes in an inpatient setting following traumatic spinal cord injury. Spinal Cord 2016; 54:614–618.
DeVries Z, Hoda M, Rivers CS, et al. Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients. Spine J 2020; 20:213–224.
Belliveau T, Jette AM, Seetharama S, et al. Developing artificial neural network models to predict functioning one year after traumatic spinal cord injury. Arch Phys Med Rehabil 2016; 97:1663–1668. e3.
Brown PJ, Marino RJ, Herbison GJ, et al. The 72-hour examination as a predictor of recovery in motor complete quadriplegia. Arch Phys Med Rehabil 1991; 72:546–548.
Herbison GJ, Zerby SA, Cohen ME, et al. Motor power differences within the first two weeks post-sci in cervical spinal cord-injured quadriplegic subjects. J Neurotrauma 1992; 9:373–380.
Furlan JC, Noonan V, Singh A, et al. Assessment of impairment in patients with acute traumatic spinal cord injury: a systematic review of the literature. J Neurotrauma 2011; 28:1445–1477.
Schuld C, Wiese J, Franz S, et al. Effect of formal training in scaling, scoring and classification of the International Standards for Neurological Classification of Spinal Cord Injury. Spinal Cord 2013; 51:282–288.
Grossman RG, Fehlings MG, Frankowski RF, et al. A prospective, multicenter, Phase i matched-comparison group trial of safety, pharmacokinetics, and preliminary efficacy of riluzole in patients with traumatic spinal cord injury. J Neurotrauma 2014; 31:239–255.
Casha S, Zygun D, McGowan MD, et al. Results of a phase II placebo-controlled randomized trial of minocycline in acute spinal cord injury. Brain 2012; 135:1224–1236.
Spiess MR, Müller RM, Rupp R, et al. Conversion in ASIA impairment scale during the first year after traumatic spinal cord injury. J Neurotrauma 2009; 26:2027–2036.
Battistuzzo CR, Smith K, Skeers P, et al. Early rapid neurological assessment for acute spinal cord injury trials. J Neurotrauma 2016; 33:1936–1945.
Wilson JR, Grossman RG, Frankowski RF, et al. A clinical prediction model for long-term functional outcome after traumatic spinal cord injury based on acute clinical and imaging factors. J Neurotrauma 2012; 29:2263–2271.
Kirshblum SC, Priebe MM, Ho CH, et al. Spinal cord injury medicine. 3. Rehabilitation phase after acute spinal cord injury. Arch Phys Med Rehabil 2007; 88:S62–S70.
Burns SP, Golding DG, Rolle WA, et al. Recovery of ambulation in motor-incomplete tetraplegia. Arch Phys Med Rehabil 1997; 78:1169–1172.
Furlan JC, Fehlings MG. The impact of age on mortality, impairment, and disability among adults with acute traumatic spinal cord injury. J Neurotrauma 2009; 26:1707–1717.
Devivo MJ. Epidemiology of traumatic spinal cord injury: trends and future implications. Spinal Cord 2012; 50:365–372.
Scivoletto G, Morganti B, Molinari M. Sex-related differences of rehabilitation outcomes of spinal cord lesion patients. Clin Rehabil 2004; 18:709–713.
Greenwald BD, Seel RT, Cifu DX, et al. Gender-related differences in acute rehabilitation lengths of stay, charges, and functional outcomes for a matched sample with spinal cord injury: A multicenter investigation. Arch Phys Med Rehabil 2001; 82:1181–1187.
Sipski ML, Jackson AB, Gómez-Marín O, et al. Effects of gender on neurologic and functional recovery after spinal cord injury. Arch Phys Med Rehabil 2004; 85:1826–1836.
Zonfrillo MR, Weaver AA, Gillich PJ, et al. New methodology for an expert-designed map from International Classification of Diseases (ICD) to Abbreviated Injury Scale (AIS) 3+ Severity Injury. Traffic Inj Prev 2015; 16:S197–S200.
Kirshblum S, Millis S, McKinley W, et al. Late neurologic recovery after traumatic spinal cord injury. Arch Phys Med Rehabil 2004; 85:1811–1817.

Auteurs

Einat Engel-Haber (E)

Department of Neurological Rehabilitation, The Chaim Sheba Medical Center, Tel Hashomer, Israel.
Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.

Irina Radomislensky (I)

Israel National Centre for Trauma and Emergency Medicine Research, The Gertner institute for Epidemiology and Health Policy Research, The Chaim Sheba Medical Center, Tel Hashomer, Israel.

Kobi Peleg (K)

Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.
Israel National Centre for Trauma and Emergency Medicine Research, The Gertner institute for Epidemiology and Health Policy Research, The Chaim Sheba Medical Center, Tel Hashomer, Israel.

Moran Bodas (M)

Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.
Israel National Centre for Trauma and Emergency Medicine Research, The Gertner institute for Epidemiology and Health Policy Research, The Chaim Sheba Medical Center, Tel Hashomer, Israel.

Moshe Bondi (M)

Department of Neurological Rehabilitation, The Chaim Sheba Medical Center, Tel Hashomer, Israel.
Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.

Shlomo Noy (S)

The Chaim Sheba Medical Center, Tel Hashomer, Israel.
School of Health Professions, Ono Academic College, Kiryat Ono, Israel.

Gabi Zeilig (G)

Department of Neurological Rehabilitation, The Chaim Sheba Medical Center, Tel Hashomer, Israel.
Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.
School of Health Professions, Ono Academic College, Kiryat Ono, Israel.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH