Quiet standing postural control variables in subacute stroke: associations with gait and balance, falls prediction and responsiveness

References

• Tyson SF, Hanley M, Chillala J, et al. Balance disability after stroke. Phys Ther. 2006;86(1):30–38.
   PubMed Web of Science ®Google Scholar
• Xu T, Clemson L, O'Loughlin K, et al. Risk factors for falls in community stroke survivors: a systematic review and meta-analysis. Arch Phys Med Rehabil. 2018;99(3):563–573.e5.
   PubMed Web of Science ®Google Scholar
• Sibley KM, Howe T, Lamb SE, et al. Recommendations for a core outcome set for measuring standing balance in adult populations: a consensus-based approach. PLOS ONE. 2015;10(3):e0120568.
   PubMed Web of Science ®Google Scholar
• Tyson SF, Connell LA. How to measure balance in clinical practice. A systematic review of the psychometrics and clinical utility of measures of balance activity for neurological conditions. Clin Rehabil. 2009;23(9):824–840.
   PubMed Web of Science ®Google Scholar
• Peters S, Ivanova TD, Teasell R, et al. Is the recovery of functional balance and mobility accompanied by physiological recovery in people with severe impairments after stroke? Neurorehabil Neural Repair. 2014;28(9):847–855.
   PubMed Web of Science ®Google Scholar
• De Haart M, Geurts AC, Huidekoper SC, et al. Recovery of standing balance in postacute stroke patients: a rehabilitation cohort study. Arch Phys Med Rehabil. 2004;85(6):886–895.
   PubMed Web of Science ®Google Scholar
• Mansfield A, Inness EL. Force plate assessment of quiet standing balance control: perspectives on clinical application within stroke rehabilitation. Rehabil Proc Outcome. 2015;4:RPO.S20363–15.
   Google Scholar
• Pohl J, Held JPO, Verheyden G, et al. Consensus-based core set of outcome measures for clinical motor rehabilitation after stroke—a Delphi study. Front Neurol. 2020;11:875.
   PubMed Web of Science ®Google Scholar
• Sullivan JE, Crowner BE, Kluding PM, et al. Outcome measures for individuals with stroke: process and recommendations from the American Physical Therapy Association Neurology Section Task Force. Phys Ther. 2013;93(10):1383–1396.
   PubMed Web of Science ®Google Scholar
• Kwakkel G, Lannin NA, Borschmann K, et al. Standardized measurement of sensorimotor recovery in stroke trials: consensus-based core recommendations from the stroke recovery and rehabilitation roundtable. Neurorehabil Neural Repair. 2017;31(9):784–792.
   PubMed Web of Science ®Google Scholar
• Karlsson A, Frykberg G. Correlations between force plate measures for assessment of balance. Clin Biomech. 2000;15(5):365–369.
   PubMed Web of Science ®Google Scholar
• Sawacha Z, Carraro E, Contessa P, et al. Relationship between clinical and instrumental balance assessments in chronic post-stroke hemiparesis subjects. J Neuroeng Rehabil. 2013;10:95.
   PubMed Web of Science ®Google Scholar
• Bower KJ, McGinley JL, Miller KJ, et al. Instrumented static and dynamic balance assessment after stroke using wii balance boards: reliability and association with clinical tests. PLOS ONE. 2014;9(12):e115282.
   PubMed Web of Science ®Google Scholar
• Wei TS, Liu PT, Chang LW, et al. Gait asymmetry, ankle spasticity, and depression as independent predictors of falls in ambulatory stroke patients. PLOS ONE. 2017;12(5):e0177136.
   PubMed Web of Science ®Google Scholar
• Hyndman D, Pickering RM, Ashburn A. Reduced sway during dual task balance performance among people with stroke at 6 and 12 months after discharge from hospital. Neurorehabil Neural Repair. 2009;23(8):847–854.
   PubMed Web of Science ®Google Scholar
• Bower K, Thilarajah S, Pua YH, et al. Dynamic balance and instrumented gait variables are independent predictors of falls following stroke. J NeuroEngineering Rehabil. 2019. DOI:10.1186/s12984-018-0478-4
   Google Scholar
• Choi W, Lee G, Lee S. Effect of the cognitive-motor dual-task using auditory cue on balance of surviviors with chronic stroke: a pilot study. Clin Rehabil. 2015;29(8):763–770.
   PubMed Web of Science ®Google Scholar
• Bower KJ, Clark RA, McGinley JL, et al. Clinical feasibility of the nintendo wii™ for balance training post-stroke: a phase II randomized controlled trial in an inpatient setting. Clin Rehabil. 2014;28(9):912–923.
   PubMed Web of Science ®Google Scholar
• Walker C, Brouwer BJ, Culham EG. Use of visual feedback in retraining balance following acute stroke. Phys Ther. 2000;80(9):886–895.
   PubMed Web of Science ®Google Scholar
• Roerdink M, De Haart M, Daffertshofer A, et al. Dynamical structure of center-of-pressure trajectories in patients recovering from stroke. Exp Brain Res. 2006;174(2):256–269.
   PubMed Web of Science ®Google Scholar
• Gray VL, Ivanova TD, Garland SJ. Reliability of center of pressure measures within and between sessions in individuals post-stroke and healthy controls. Gait Posture. 2014;40(1):198–203.
   PubMed Web of Science ®Google Scholar
• Gasq D, Labrunée M, Amarantini D, et al. Between-day reliability of Centre of pressure measures for balance assessment in hemiplegic stroke patients. J NeuroEngineering Rehabil. 2014;11(1):39.
   PubMedGoogle Scholar
• Pak P, Jawed H, Tirone C, et al. Incorporating research technology into the clinical assessment of balance and mobility: perspectives of physiotherapists and people with stroke. Physiother Can. 2015;67(1):1–8.
   PubMed Web of Science ®Google Scholar
• Clark RA, Mentiplay BF, Pua YH, et al. Reliability and validity of the wii balance board for assessment of standing balance: a systematic review. Gait and Posture. 2018;61:40–54.
   PubMed Web of Science ®Google Scholar
• Thilarajah S, Bower KJ, Pua YH, et al. Modifiable factors associated with poststroke physical activity at discharge from rehabilitation: prospective cohort study. Phys Ther. 2020;100(5):818–828.
   PubMed Web of Science ®Google Scholar
• Bernhardt J, Hayward KS, Kwakkel G, et al. Agreed definitions and a shared vision for new standards in stroke recovery research: the stroke recovery and rehabilitation roundtable taskforce. Int J Stroke. 2017;12(5):444–450.
   PubMed Web of Science ®Google Scholar
• Van Der Putten JJMF, Hobart JC, Freeman JA, et al. Measuring change in disability after inpatient rehabilitation: comparison of the responsiveness of the Barthel index and the functional independence measure. J Neurol Neurosurg Psychiatry. 1999;66(4):480–484.
   PubMed Web of Science ®Google Scholar
• Van Swieten J, Koudstaal P, Visser M, et al. Interobserver agreement for the assessment of handicap in stroke patients. Stroke. 1988;19(5):604–607.
   PubMed Web of Science ®Google Scholar
• Clark RA, Bryant AL, Pua Y, et al. Validity and reliability of the nintendo wii balance board for assessment of standing balance. Gait Posture. 2010;31(3):307–310.
   PubMed Web of Science ®Google Scholar
• McIlroy WE, Maki BE. Preferred placement of the feet during quiet stance: development of a standardized foot placement for balance testing. Clin Biomech. 1997;12(1):66–70.
   PubMed Web of Science ®Google Scholar
• Clark RA, Seah FJT, Chong HC, et al. Standing balance post total knee arthroplasty: sensitivity to change analysis from four to twelve weeks in 466 patients. Osteoarthr Cartil. 2017;25(1):42–45.
   PubMed Web of Science ®Google Scholar
• Liang Z, Clark R, Bryant A, et al. Neck musculature fatigue affects specific frequency bands of postural dynamics during quiet standing. Gait Posture. 2014;39(1):397–403.
   PubMed Web of Science ®Google Scholar
• Borg FG, Laxaback G. Entropy of balance – some recent results. J NeuroEngineering Rehabil. 2010. DOI:10.1186/1743-0003-7-38
   PubMedGoogle Scholar
• Flansbjer UB, Holmbäck AM, Downham D, et al. Reliability of gait performance tests in men and women with hemiparesis after stroke. J Rehabili Med. 2005;37(2):75–82.
   PubMed Web of Science ®Google Scholar
• Hill KD, Bernhardt J, McGann AM, et al. A new test of dynamic standing balance for stroke patients: reliability, validity and comparison with healthy elderly. Physiother Canada. 1996;48(4):257–262.
   Google Scholar
• Lamb SE, Jørstad-Stein EC, Hauer K, et al. Development of a common outcome data set for fall injury prevention trials: the prevention of falls network Europe consensus. J Am Geriatr Soc. 2005;53(9):1618–1622.
   PubMed Web of Science ®Google Scholar
• Portney LG, Watkins MP. Foundations of clinical research: applications to practice. (3rd ed.). New Jersey, USA Pearson Education; 2009.
   Google Scholar
• Sonderen Ev. Erratum To BM, Middel B, Sonderen E. Van. Statistical significant change versus relevant or important change in (quasi) experimental design: some conceptual and methodological problems in estimating magnitude of intervention-related change in health services research. Int J Integrated Care. 2002. DOI:10.5334/ijic.65
   Google Scholar
• J. C. Statistical power analysis for the behavioural sciences. (2nd ed.). Hillsdale (NJ): Lawrence Earlbaum Associates; 1988.
   Google Scholar
• Niam S, Cheung W, Sullivan PE, et al. Balance and physical impairments after stroke. Arch Phys Med Rehabil. 1999;80(10):1227–1233.
   PubMed Web of Science ®Google Scholar
• Tilson JK, Sullivan KJ, Cen SY, et al. Meaningful gait speed improvement during the first 60 days poststroke: minimal clinically important difference. Phys Ther. 2010;90(2):196–208.
   PubMed Web of Science ®Google Scholar
• Mackintosh SF, Hill KD, Dodd KJ, et al. Balance score and a history of falls in hospital predict recurrent falls in the 6 months following stroke rehabilitation. Arch Phys Med Rehabil. 2006;87(12):1583–1589.
   PubMed Web of Science ®Google Scholar
• Amoud H, Abadi M, Hewson DJ, et al. Fractal time series analysis of postural stability in elderly and control subjects. J Neuroeng Rehabil. 2007;4:12.
   PubMed Web of Science ®Google Scholar
• Norris JA, Marsh AP, Smith IJ, et al. Ability of static and statistical mechanics posturographic measures to distinguish between age and fall risk. J Biomech. 2005;38(6):1263–1272.
   PubMed Web of Science ®Google Scholar
• Kodama K, Yasuda K, Kuznetsov NA, et al. Balance training with a vibrotactile biofeedback system affects the dynamical structure of the center of pressure trajectories in chronic stroke patients. Front Hum Neurosci. 2019. DOI:10.3389/fnhum.2019.00084
   PubMedGoogle Scholar
• Meade ZS, Marmelat V, Mukherjee M, et al. Comparison of a portable balance board for measures of persistence in postural sway. J Biomech. 2020;100:109600.
   PubMed Web of Science ®Google Scholar
• Marigold DS, Eng JJ. The relationship of asymmetric weight-bearing with postural sway and visual reliance in stroke. Gait Posture. 2006;23(2):249–255.
   PubMed Web of Science ®Google Scholar
• Lewek MD, Sykes R. III. Minimal detectable change for gait speed depends on baseline speed in individuals with chronic stroke. J Neurol Phys Ther. 2019;43(2):122–127.
   PubMed Web of Science ®Google Scholar
• Bernhardt J, Ellis P, Denisenko S, et al. Changes in balance and locomotion measures during rehabilitation following stroke. Physiother Res Int. 1998;3(2):109–122.
   PubMedGoogle Scholar
• Visser JE, Carpenter MG, van der Kooij H, et al. The clinical utility of posturography. Clin Neurophysiol. 2008;119(11):2424–2436.
   PubMed Web of Science ®Google Scholar
• Palmieri RM, Ingersoll CD, Stone MB, et al. Center-of-pressure parameters used in the assessment of postural control. J Sport Rehabil. 2002;11(1):51–66.
   Web of Science ®Google Scholar
• Schinkel-Ivy A, Singer JC, Inness EL, et al. Do quiet standing Centre of pressure measures within specific frequencies differ based on ability to recover balance in individuals with stroke? Clin Neurophysiol. 2016;127(6):2463–2471.
   PubMed Web of Science ®Google Scholar
• Baker SG, Schuit E, Steyerberg EW, et al. How to interpret a small increase in AUC with an additional risk prediction marker: decision analysis comes through. Stat Med. 2014;33(22):3946–3959.
   PubMed Web of Science ®Google Scholar
• Bower KJ, Verdonck M, Hamilton A, et al. What factors influence clinicians’ use of technology in neurorehabilitation? A multisite qualitative study. Physical Therapy. 2021;101(5):pzab031.
   PubMed Web of Science ®Google Scholar