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Impact of Diabetes, Hypertension and Heart Failure on Stroke Rehabilitation Care

DOI: 10.4236/ojtr.2022.103010, PP. 111-132

Keywords: Stroke, Comorbidities, Inpatient Rehabilitation, Functional Outcomes, CHADS2 Score

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Abstract:

Background: Stroke patients who have multiple comorbidities at inpatient rehabilitation admission might experience poorer outcomes than those without comorbidities. Some differences in outcomes between these two groups may be based on age and type of comorbidity. Materials and Methods: Retrospective administrative data from an inpatient stroke rehabilitation unit in a Southwestern Ontario hospital were examined to determine the independent associations between diabetes, hypertension, and heart failure in stroke patients and rehabilitation length of stay (LOS), functional gains in rehabilitation, and discharge destination. We also examined the associations between CHADS2 score and rehabilitation LOS, functional gains in rehabilitation, and discharge destination. Results: Seven hundred and seven cases of stroke subcategorized as experiencing mild (n = 193), moderate (n = 454), and severe (n = 60) stroke were included in the study. Of these patients, 16.4% (n = 116) had type 2 diabetes, 58.7% (n = 415) had hypertension, and 5.8% (n = 41) had congestive heart failure (CHF) prior to stroke. CHF patients were significantly (p = 0.02) older, had significantly (p = 0.014) lower mean FIM gains and were discharged to residential care facilities compared to non-CHF cases. A higher CHADS2 score was significantly associated with Lower FIM gains and discharge to longer term settings. Conclusion: Significant differences exist in the functional gains and discharge disposition of stroke patients based on age of patient, type of comorbidity in stroke, and CHADS2 score.

References

[1]  Iezzoni, L.I. (2004) Risk Adjusting Rehabilitation Outcomes: An Overview of Methodologic Issues. American Journal of Physical Medicine & Rehabilitation, 83, 316-326.
https://doi.org/10.1097/01.PHM.0000118041.17739.BB
[2]  Karatepe, A.G., Gunaydin, R., Kaya, T. and Turkmen, G. (2008) Comorbidity in Patients after Stroke: Impact on Functional Outcome. Journal of Rehabilitation Medicine, 40, 831-835.
https://doi.org/10.2340/16501977-0269
[3]  Roth, E.J. (1994) Heart Disease in Patients with Stroke. Part II: Impact and Implications for Rehabilitation. Archives of Physical Medicine and Rehabilitation, 75, 94-101.
https://doi.org/10.1016/0003-9993(94)90344-1
[4]  Tam, A.K. and Bayley, M.T. (2018) A Narrative Review of the Impact of Medical Comorbidities on Stroke Rehabilitation Outcomes. Disability and Rehabilitation, 40, 1842-1848.
https://doi.org/10.1080/09638288.2017.1309465
[5]  Siegler, E.L., Stineman, M.G. and Maislin, G. (1994) Development of Complications during Rehabilitation. Archives of Internal Medicine, 154, 2185-2190.
https://doi.org/10.1001/archinte.154.19.2185
[6]  Al-Eithan, M.H., Amin, M. and Robert, A.A. (2011) The Effect of Hemiplegia/Hemiparesis, Diabetes Mellitus, and Hypertension on Hospital Length of Stay after Stroke. Journal of Neuroscience, 16, 253-256.
[7]  Specogna, A.V., Turin, T.C., Patten, S.B. and Hill, M.D. (2017) Hospital Treatment Costs and Length of Stay Associated with Hypertension and Multimorbidity after Hemorrhagic Stroke. BMC Neurology, 17, Article No. s158.
https://doi.org/10.1186/s12883-017-0930-2
[8]  John, R., Kerby, D.S. and Hagan-Hennessy, C. (2003) Patterns and Impact of Comorbidity and Multimorbidity among Community-Resident American Indian Elders. Gerontology, 43, 649-660.
https://doi.org/10.1093/geront/43.5.649
[9]  Sennfält, S., Pihlsgård, M., Petersson, J., Norrving, B. and Ullberg, T. (2020) Long-Term Outcome after Ischemic Stroke in Relation to Comorbidity—An Observational Study from the Swedish Stroke Register (Riksstroke). European Stroke Journal, 5, 36-46.
https://doi.org/10.1177/2396987319883154
[10]  Corraini, P., Szépligeti, S.K., Henderson, V.W., Ording, A.G., Horváth-Puhó, E. and Sørensen, H.T. (2018) Comorbidity and the Increased Mortality after Hospitalization for Stroke: A Population-Based Cohort Study. Journal of Thrombosis and Haemostasis, 16, 242-252.
https://doi.org/10.1111/jth.13908
[11]  Roth, E.J., Lovell, L., Harvey, R.L., Bode, R.K. and Heinemann, A.W. (2002) Stroke Rehabilitation: Indwelling Urinary Catheters, Enteral Feeding Tubes, and Tracheostomies Are Associated with Resource Use and Functional Outcomes. Stroke, 33, 1845-1850.
https://doi.org/10.1161/01.STR.0000020122.30516.FF
[12]  Gallacher, K.I., McQueenie, R., Nicholl, B., Jani, B.D., Lee, D. and Mair, F.S. (2018) Risk Factors and Mortality Associated with Multimorbidity in People with Stroke or Transient Ischaemic Attack: A Study of 8,751 UK Biobank Participants. Journal of comorbidity, 8, 1-8.
https://doi.org/10.15256/joc.2018.8.129
[13]  Roth, E.J., Lovell, L., Harvey, R.L. and Bode, R.K. (2007) Delay in Transfer to Inpatient Stroke Rehabilitation: The Role of Acute Hospital Medical Complications and Stroke Characteristics. Topics in Stroke Rehabilitation, 14, 57-64.
https://doi.org/10.1310/tsr1401-57
[14]  Simic-Panic, D., Boskovic, K., Milicevic, M., et al. (2018) The Impact of Comorbidity on Rehabilitation Outcome after Ischemic Stroke. Acta Clinica Croatica, 57, 5-15.
https://doi.org/10.20471/acc.2018.57.01.01
[15]  Basic Kes, V., Jurasic, M.J., Zavoreo, I., Lisak, M., Jelec, V. and Zadro Matovina, L. (2016) Age and Gender Differences in Acute Stroke Hospital Patients. Acta Clinica Croatica, 55, 69-77.
https://doi.org/10.20471/acc.2016.55.01.11
[16]  Kumar, A., Karmarkar, A.M., Graham, J.E., Resnik, L., Tan, A., Deutsch, A. and Ottenbacher, K.J. (2017) Comorbidity Indices versus Function as Potential Predictors of 30-Day Readmission in Older Patients Following Postacute Rehabilitation. Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences, 72, 223-228.
https://doi.org/10.1093/gerona/glw148
[17]  Cengic, L., Vuletic, V., Karlic, M., Dikanovic, M. and Demarin, V. (2011) Motor and Cognitive Impairment after Stroke. Acta Clinica Croatica, 50, 463-467.
[18]  Man, D.W., Tam, S.F. and Hui-Chan, C. (2006) Prediction of Functional Rehabilitation Outcomes in Clients with Stroke. Brain Injury, 20, 205-211.
https://doi.org/10.1080/02699050500454621
[19]  Elamy, A.H., Shuaib, A., Carriere, K.C. and Jeerakathil, T. (2020) Common Comorbidities of Stroke in the Canadian Population. Canadian Journal of Neurological Sciences, 47, 314-319.
https://doi.org/10.1017/cjn.2020.17
[20]  Paker, N., Bugdayci, D., Celik, B., Sabirli, F. and Bardak, A.N. (2016) Functional Recovery in Stroke Patients with and without Diabetes Mellitus. Turkish Journal of Physical Medicine and Rehabilitation, 62, 201-205.
https://doi.org/10.5606/tftrd.2016.33682
[21]  Mazzali, C. and Duca, P. (2015) Use of Administrative Data in Healthcare Research. Internal and Emergency Medicine, 10, 517-524.
https://doi.org/10.1007/s11739-015-1213-9
[22]  Stineman, M.G., Fiedler, R.C., Granger, C.V. and Maislin, G. (1998) Functional Task Benchmarks for Stroke Rehabilitation. Archives of Physical Medicine and Rehabilitation, 79, 497-504.
https://doi.org/10.1016/S0003-9993(98)90062-4
[23]  Ween, J.E., Alexander, M.P., D’esposito, M. and Roberts, M. (1996) Factors Predictive of Stroke Outcome in a Rehabilitation Setting. Neurology, 47, 388-392.
https://doi.org/10.1212/WNL.47.2.388
[24]  Graham, J.E., Granger, C.V., Karmarkar, A.M., Niewczyk, P., DiVita, M.A. and Ottenbacher, K.J. (2014) The Uniform Data System for Medical Rehabilitation: Report of Follow-Up Information on Patients Discharged from Inpatient Rehabilitation Programs in 2002-2010. American Journal of Physical Medicine & Rehabilitation, 93, 231-234.
https://doi.org/10.1097/PHM.0b013e3182a92c58
[25]  Tanlaka, E., King-Shier, K., Green, T., Seneviratne, C. and Dukelow, S. (2020) Sex Differences in Stroke Rehabilitation Care in Alberta. Canadian Journal of Neurological Sciences, 47, 494-503.
https://doi.org/10.1017/cjn.2020.53
[26]  Tanlaka, E., King-Shier, K., Green, T., Seneviratne, C. and Dukelow, S. (2019) Inpatient Rehabilitation Care in Alberta: How Much Does Stroke Severity and Timing Matter? Canadian Journal of Neurological Sciences, 46, 691-701.
https://doi.org/10.1017/cjn.2019.276
[27]  Gage, B.F., Waterman, A.D., Shannon, W., Boechler, M., Rich, M.W. and Radford, M.J. (2001) Validation of Clinical Classification Schemes for Predicting Stroke: Results from the National Registry of Atrial Fibrillation. JAMA, 285, 2864-2870.
https://doi.org/10.1001/jama.285.22.2864
[28]  Cohen, J.W. (2013) Statistical Power Analysis for the Behavioral Sciences. Routledge, London.
https://doi.org/10.4324/9780203771587
[29]  Kurichi, J.E., Xie, D., Bates, B.E., Ripley, D.C., Vogel, W.B., Kwong, P. and Stineman, M.G. (2014) Factors Associated with Home Discharge among Veterans with Stroke. Archives of Physical Medicine and Rehabilitation, 95, 1277-1282.
https://doi.org/10.1016/j.apmr.2014.03.008
[30]  Roth, E.J., Mueller, K. and Green, D. (1988) Stroke Rehabilitation Outcome: Impact of Coronary Artery Disease. Stroke, 19, 42-47.
https://doi.org/10.1161/01.STR.19.1.42
[31]  Nacu, A., Fromm, A., Sand, K.M., Waje-Andreassen, U., Thomassen, L. and Næss, H. (2016) Age Dependency of Ischaemic Stroke Subtypes and Vascular Risk Factors in Western Norway: The Bergen Norwegian Stroke Cooperation Study. Acta Neurologica Scandinavica, 133, 202-207.
https://doi.org/10.1111/ane.12446
[32]  Kwon, S., Hartzema, A.G., Duncan, P.W. and Min-Lai, S. (2004) Disability Measures in Stroke: Relationship among the Barthel Index, the Functional Independence Measure, and the Modified Rankin Scale. Stroke, 35, 918-923.
https://doi.org/10.1161/01.STR.0000119385.56094.32

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