Development and validation of a prediction model for home discharge in patients with moderate stroke: The Korean stroke cohort for functioning and rehabilitation study

References

• Itaya T, Murakami Y, Ota A, Nomura E, Fukushima T, Nishigaki M. Assessment model to identify patients with stroke with a high possibility of discharge to home: a retrospective cohort study. Stroke. 2017;48(10):2812–2818. doi:10.1161/STROKEAHA.117.018075.
   PubMed Web of Science ®Google Scholar
• Frank M, Conzelmann M, Engelter S. Prediction of discharge destination after neurological rehabilitation in stroke patients. Eur Neurol. 2010;63(4):227–233. doi:10.1159/000279491.
   PubMed Web of Science ®Google Scholar
• Fonarow GC, Liang L, Thomas L, et al. Assessment of home-time after acute ischemic stroke in medicare beneficiaries. Stroke. 2016;47(3):836–842. doi:10.1161/STROKEAHA.115.011599.
   PubMed Web of Science ®Google Scholar
• Pereira S, Foley N, Salter K, et al. Discharge destination of individuals with severe stroke undergoing rehabilitation: a predictive model. Disabil Rehabil. 2014;36(9):727–731. doi:10.3109/09638288.2014.902510.
   PubMed Web of Science ®Google Scholar
• Mees M, Klein J, Yperzeele L, Vanacker P, Cras P. Predicting discharge destination after stroke: A systematic review. Clin Neurol Neurosurg. 2016;142:15–21. doi:10.1016/j.clineuro.2016.01.004.
   PubMed Web of Science ®Google Scholar
• Dutrieux RD, van Eijk M, van Mierlo ML, van Heugten CM, Visser-Meily JM, Achterberg WP. Discharge home after acute stroke: differences between older and younger patients. J Rehabil Med. 2016;48(1):14–18. doi:10.2340/16501977-2045.
   PubMed Web of Science ®Google Scholar
• Ouellette DS, Timple C, Kaplan SE, Rosenberg SS, Rosario ER. Predicting discharge destination with admission outcome scores in stroke patients. NeuroRehabilitation. 2015;37(2):173–179. doi:10.3233/NRE-151250.
   PubMed Web of Science ®Google Scholar
• Roberts PS, Mix J, Rupp K, et al. Using functional status in the acute hospital to predict discharge destination for stroke patients. Am J Phys Med Rehabil. 2016;95(6):416–424. doi:10.1097/PHM.0000000000000412.
   PubMed Web of Science ®Google Scholar
• Ward I, Pivko S, Brooks G, Parkin K. Validity of the stroke rehabilitation assessment of movement scale in acute rehabilitation: a comparison with the functional independence measure and stroke impact scale-16. Pm R. 2011;3(11):1013–1021. doi:10.1016/j.pmrj.2011.08.537.
   PubMedGoogle Scholar
• Ekstrand E, Ringsberg KA, Pessah-Rasmussen H. The physiotherapy clinical outcome variables scale predicts length of hospital stay, discharge destination and future home facility in the acute comprehensive stroke unit. J Rehabil Med. 2008;40(7):524–528. doi:10.2340/16501977-0210.
   PubMed Web of Science ®Google Scholar
• Hu HY, Chi WC, Chang KH, et al. The World Health Organization disability assessment schedule 2.0 can predict the institutionalization of patients with stroke. Eur J Phys Rehabil Med. 2017;53(6):856–862. doi:10.23736/S1973-9087.17.04615-9.
   PubMed Web of Science ®Google Scholar
• Pinedo S, Erazo P, Tejada P, et al. Rehabilitation efficiency and destination on discharge after stroke. Eur J Phys Rehabil Med. 2014;50(3):323–333.
   PubMed Web of Science ®Google Scholar
• Schlegel D, Kolb SJ, Luciano JM, et al. Utility of the NIH stroke scale as a predictor of hospital disposition. Stroke. 2003;34(1):134–137. doi:10.1161/01.STR.0000048217.44714.02.
   PubMed Web of Science ®Google Scholar
• Yu AYX, Rogers E, Wang M, et al. Population-based study of home-time by stroke type and correlation with modified Rankin score. Neurology. 2017;89(19):1970–1976. doi:10.1212/WNL.0000000000004631.
   PubMed Web of Science ®Google Scholar
• Chang WH, Sohn MK, Lee J, et al. Korean stroke cohort for functioning and rehabilitation (KOSCO): study rationale and protocol of a multi-centre prospective cohort study. BMC Neurol. 2015;15:42. doi:10.1186/s12883-015-0293-5.
   PubMed Web of Science ®Google Scholar
• Goldstein LB, Samsa GP, Matchar DB, Horner RD. Charlson index comorbidity adjustment for ischemic stroke outcome studies. Stroke. 2004;35(8):1941–1945. doi:10.1161/01.STR.0000135225.80898.1c.
   PubMed Web of Science ®Google Scholar
• Gialanella B, Ferlucci C. Functional outcome after stroke in patients with aphasia and neglect: assessment by the motor and cognitive functional independence measure instrument. Cerebrovasc Dis. 2010;30(5):440–447. doi:10.1159/000317080.
   PubMed Web of Science ®Google Scholar
• Dong Y, Sharma VK, Chan BP, et al. The Montreal Cognitive Assessment (MoCA) is superior to the Mini-Mental State Examination (MMSE) for the detection of vascular cognitive impairment after acute stroke. J Neurol Sci. 2010;299(1–2):15–18. doi:10.1016/j.jns.2010.08.051.
   PubMed Web of Science ®Google Scholar
• Duncan PW, Goldstein LB, Matchar D, Divine GW, Feussner J. Measurement of motor recovery after stroke. Outcome assessment and sample size requirements. Stroke. 1992;23(8):1084–1089. doi:10.1161/01.STR.23.8.1084.
   PubMed Web of Science ®Google Scholar
• Kim J, Oh B-M, Lee G, Seung AL, Chun S, Han T. Clinical factors associated with severity of post-stroke dysphagia. Brain Neurorehabil. 2011;4:116. doi:10.12786/bn.2011.4.2.116.
   Google Scholar
• Bom PS, Mi HY, Wan HJ, Hoyoung Y, Woo PK, Kichun N. Standardization of Korean version of frenchay aphasia screening test in normal adults. Ann Rehabil Med. 2009;33:436–440.
   Google Scholar
• Park JH, Kim KW, Kim MH, et al. A nationwide survey on the prevalence and risk factors of late life depression in South Korea. J Affect Disord. 2012;138(1–2):34–40. doi:10.1016/j.jad.2011.12.038.
   PubMed Web of Science ®Google Scholar
• Saji N, Kimura K, Ohsaka G, et al. Functional independence measure scores predict level of long-term care required by patients after stroke: a multicenter retrospective cohort study. Disabil Rehabil. 2015;37(4):331–337. doi:10.3109/09638288.2014.918195.
   PubMed Web of Science ®Google Scholar
• Koyama T, Sako Y, Konta M, Domen K. Poststroke discharge destination: functional independence and sociodemographic factors in urban Japan. J Stroke Cerebrovasc Dis. 2011;20(3):202–207. doi:10.1016/j.jstrokecerebrovasdis.2009.11.020.
   PubMed Web of Science ®Google Scholar
• Thorpe ER, Garrett KB, Smith AM, Reneker JC, Phillips RS. Outcome measure scores predict discharge destination in patients with acute and subacute stroke: a systematic review and series of meta-analyses. J Neurol Phys Ther. 2018;42(1):2–11. doi:10.1097/NPT.0000000000000211.
   PubMed Web of Science ®Google Scholar
• Levack WM, Weatherall M, Hay-Smith JC, Dean SG, McPherson K, Siegert RJ. Goal setting and strategies to enhance goal pursuit in adult rehabilitation: summary of a cochrane systematic review and meta-analysis. Eur J Phys Rehabil Med. 2016;52:400–416.
   PubMed Web of Science ®Google Scholar
• Sturm JW, Donnan GA, Dewey HM, et al. Quality of life after stroke: the North East Melbourne Stroke Incidence Study (NEMESIS). Stroke. 2004;35(10):2340–2345. doi:10.1161/01.STR.0000141977.18520.3b.
   PubMed Web of Science ®Google Scholar
• Park JH, Kim BJ, Bae HJ, et al. Impact of post-stroke cognitive impairment with no dementia on health-related quality of life. J Stroke. 2013;15(1):49–56. doi:10.5853/jos.2013.15.1.49.
   PubMed Web of Science ®Google Scholar
• Choi-Kwon S, Kim HS, Kwon SU, Kim JS. Factors affecting the burden on caregivers of stroke survivors in South Korea. Arch Phys Med Rehabil. 2005;86(5):1043–1048. doi:10.1016/j.apmr.2004.09.013.
   PubMed Web of Science ®Google Scholar
• Béjot Y, Blanc C, Delpont B, et al. Increasing early ambulation disability in spontaneous intracerebral hemorrhage survivors. Neurology. 2018;90(23):e2017–e2024.
   Google Scholar
• Oliva-Moreno J, Pena-Longobardo LM, Mar J, et al. Determinants of informal care, burden, and risk of burnout in caregivers of stroke survivors: the CONOCES study. Stroke. 2018;49(1):140–146. doi:10.1161/STROKEAHA.117.017575.
   PubMed Web of Science ®Google Scholar
• Tinl ML, Kale MK, Doshi S, Guarino AJ, Beninato M. The mobility scale for acute stroke predicts discharge destination after acute hospitalization. J Rehabil Med. 2014;46(3):219–224. doi:10.2340/16501977-1269.
   PubMed Web of Science ®Google Scholar
• Brauer SG, Bew PG, Kuys SS, Lynch MR, Morrison G. Prediction of discharge destination after stroke using the motor assessment scale on admission: a prospective, multisite study. Arch Phys Med Rehabil. 2008;89(6):1061–1065. doi:10.1016/j.apmr.2007.10.042.
   PubMed Web of Science ®Google Scholar
• Rabadi MH, Blau A. Admission ambulation velocity predicts length of stay and discharge disposition following stroke in an acute rehabilitation hospital. Neurorehabil Neural Repair. 2005;19(1):20–26. doi:10.1177/1545968304272762.
   PubMed Web of Science ®Google Scholar
• Maeshima S, Okamoto S, Okazaki H, et al. Potential factors, including activities of daily living, influencing home discharge for patients with putaminal haemorrhage. BMC Neurol. 2016;16:16. doi:10.1186/s12883-016-0539-x.
   PubMed Web of Science ®Google Scholar
• Nguyen TA, Page A, Aggarwal A, Henke P. Social determinants of discharge destination for patients after stroke with low admission FIM instrument scores. Arch Phys Med Rehabil. 2007;88(6):740–744. doi:10.1016/j.apmr.2007.03.011.
   PubMed Web of Science ®Google Scholar
• Tanwir S, Montgomery K, Chari V, Nesathurai S. Stroke rehabilitation: availability of a family member as caregiver and discharge destination. Eur J Phys Rehabil Med. 2014;50:355–362.
   PubMed Web of Science ®Google Scholar
• Van der Cruyssen K, Vereeck L, Saeys W, Remmen R. Prognostic factors for discharge destination after acute stroke: a comprehensive literature review. Disabil Rehabil. 2015;37(14):1214–1227. doi:10.3109/09638288.2014.961655.
   PubMed Web of Science ®Google Scholar
• Kabboord AD, van Eijk M, Fiocco M, van Balen R, Achterberg WP. Assessment of comorbidity burden and its association with functional rehabilitation outcome after stroke or hip fracture: a systematic review and meta-analysis. J Am Med Dir Assoc. 2016;17(11):1066.e1013-1066.e1021. doi:10.1016/j.jamda.2016.07.028.
   PubMed Web of Science ®Google Scholar
• Turhan N, Atalay A, Muderrisoglu H. Predictors of functional outcome in first-ever ischemic stroke: a special interest to ischemic subtypes, comorbidity and age. NeuroRehabilitation. 2009;24(4):321–326. doi:10.3233/NRE-2009-0485.
   PubMed Web of Science ®Google Scholar
• Lee EJ, Kim JH, Park ES, et al. A novel weighted scoring system for estimating the risk of rapid growth in untreated intracranial meningiomas. J Neurosurg. 2017;127(5):971–980. doi:10.3171/2016.9.JNS161669.
   PubMed Web of Science ®Google Scholar