Original Articles

Split Viewer

Public Health Weekly Report 2024; 17(42): 1767-1785

Published online October 11, 2024

https://doi.org/10.56786/PHWR.2024.17.42.1

© The Korea Disease Control and Prevention Agency

Factors Associated with Functional Deterioration in Stroke Patients 3 Years after Onset: A KOSCO Study

Dae Hyun Kim1, Deog Young Kim2, Jongmin Lee3, Min Kyun Sohn4, Min-Keun Song5, Yong-Il Shin6, Yang-Soo Lee7, Min Cheol Joo8, So Young Lee9, Jeonghoon Ahn10, Gyung-Jae Oh11, Young Hoon Lee11, Junhee Han12, Ho Seok Lee1, Doona Cho1, Young-Taek Kim13, Yun-Hee Kim14*, Won Hyuk Chang1,15*

1Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, 2Department and Research Institute of Rehabilitation Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, 3Department of Rehabilitation Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea, 4Department of Rehabilitation Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea, 5Department of Physical and Rehabilitation Medicine, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea, 6Department of Rehabilitation Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea, 7Department of Rehabilitation Medicine, Kyungpook National University Hospital, Kyungpook National University School of Medicine, Daegu, Korea, 8Department of Rehabilitation Medicine, Wonkwang University Hospital, Wonkwang University School of Medicine, Iksan, Korea, 9Department of Physical Medicine and Rehabilitation, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Korea, 10Department of Health Convergence, Ewha Womans University, Seoul, Korea, 11Department of Preventive Medicine, Wonkwang University School of Medicine, Iksan, Korea, 12Department of Statistics, Hallym University, Chuncheon, Korea, 13Department of Preventive Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea, 14Sungkyunkwan University School of Medicine, Suwon, Korea, 15Department of Health Science and Technology, Department of Medical Devices Management and Research, Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Suwon, Korea

*Corresponding author: Won Hyuk Chang, Tel: +82-2-3410-6068, E-mail: wh.chang@samsung.com
Yun-Hee Kim, Tel: +82-2-3410-2818, E-mail: yunkim@skku.edu

Received: September 27, 2024; Revised: October 11, 2024; Accepted: October 11, 2024

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

This study aimed to identify the factors predicting functional decline 4 years after stroke based on patient characteristics 3 years after stroke. We analyzed data from the Korean Stroke Cohort for Functioning and Rehabilitation study. Functional decline was defined as an increase in the modified Rankin scale (mRS) 4 years after stroke compared to that at 3 years after stroke. Participants were divided into two groups based on their mRS 3 years after stroke: independent (mRS 0–1) and dependent (mRS 2–4) activities of daily living groups. Of the 4,023 participants, 3,028 were in the independent group and 995 in the dependent group. Functional decline was observed in 12.9% and 12.1% of the independent and dependent groups, respectively, 4 years after stroke. In the independent group, age, degree of comorbidity, and mobility function 3 years after stroke were identified as predictors of functional decline. In the dependent group, age and cognitive function 3 years after stroke were predictive factors. These findings can contribute to the development of tailored rehabilitation strategies to prevent functional decline in patients with chronic stroke.

Key words Stroke; Chronic phase; Functional deterioration; Predictive factors; Cohort

Key messages

① What is known previously?

It is well known that intensive rehabilitation is crucial for patients with stroke in the acute and subacute phases. Still, information on functional changes in chronic stroke patients has been lacking.

② What new information is presented?

Between 3–4 years after stroke, approximately 12–13% of patients experience functional decline. Age, comorbidities, and mobility were key predictors in independent patients, while age and cognitive function were the main predictors in dependent patients.

③ What are implications?

Tailored treatment strategies based on patient functional levels are necessary. Improving mobility is essential for independent patients, while enhancing cognitive function in dependent patients should be the focus of rehabilitation programs.

Stroke is a leading cause of death and disability worldwide; it significantly impacts the long-term functional status and quality of life of survivors [1]. Recent advances in treatment for stroke in the acute phase and in rehabilitation therapy have increased survival rate and life expectancy, but the long-term management of stroke in the chronic phase has become medically and socially challenging [2]. However, there are relatively few studies investigating changes in the functioning of patients in the chronic phase compared to studies investigating the improvement in functioning in the acute and subacute phases [3].

Functional changes in patients with stroke in the chronic phase are affected by various complex factors. In general, functional ability in the chronic phase may become stable or deteriorate gradually [4]. In previous studies conducted by this study team, the ability of performing routine activities decreased statistically significantly between three years and four years after the stroke [5,6]. Remarkably decreased long-term functional ability can increase the patient’s dependency and present a sizeable societal burden, resulting in decreased long-term survival rate [7]. Accordingly, predicting and preventing a decrease in functional ability in these phases is critical. Therefore, it is necessary to identify factors within patient characteristics three years after the onset that can predict decreased functional ability four years after a stroke. Identifying predictive factors can help detect high-risk patients early and enable customized interventions [8].

This study determines factors that can predict a decline in functional ability four years after the onset from the patient characteristics investigated three years after a stroke. This will provide basic data to establish efficient therapeutic strategies that can prevent a decline in the functional ability of patients with stroke in the chronic phase and ultimately contribute to improved quality of life and reduced societal burden.

1. Study Population

This study analyzed data from first-ever stroke patients of the Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO), designed as a consignment project and long-term follow-up of stroke patients conducted by the Korean Disease Control and Prevention Agency. The first-ever stroke cohort included 7,858 patients who consented to a long-term follow-up, among 10,636 first-ever acute stroke patients (8,210 with cerebral infarction and 2,426 with cerebral hemorrhage) who were hospitalized seven days before the onset of stroke in nine hospitals nationwide between August 2012 and May 2015. The detailed protocol of the KOSCO is provided in the previous study [9]. Among the 7,858 participants who consented to the long-term follow-up of KOSCO, the functioning of 4,731 participants was evaluated face-to-face three years post onset. Of the 4,731 participants, this study analyzed data from stroke patients with the modified Rankin scale (mRS) [10] 0 to 4 (from no symptoms to moderate to severe symptoms). From those with mRS, five were excluded from this study because the level of disability could not be evaluated. Therefore, 3,266 participants with mRS 0 or 1, who were capable of independently performing routine activities, were defined as independent patients. The 1,165 participants with mRS 2 to 4, who were incapable of independently performing routine activities, were defined as dependent patients. Among them, 4,023 participants, including 3,028 independent and 955 dependent patients, who were evaluated face-to-face for functioning four years post onset, were analyzed (Figure 1). Furthermore, an increase in the mRS score due to decreased functioning four years compared to three years post onset was defined as functional deterioration. A reduction or maintenance of mRS was defined as no functional deterioration in both groups.

Figure 1. Flow chart of participants
KOSCO=Korean Stroke Cohort for Functioning and Rehabilitation.

Sociodemographic characteristics, such as age, sex, education level, family background, comorbidities, and pre-stroke functional level, were collected from medical records. The severity of comorbidity was evaluated with combined condition-and age-related score [11] of the Charlson comorbidity index. Pre-stroke functional level was evaluated using mRS. The features and severity of a stroke seven days post-onset were evaluated. Multifaceted assessment of functional outcomes three years post-onset was conducted by using the Korean Mini-Mental State Examination for cognitive function [12], Fugl-Meyer Assessment [13] for motor functioning, Functional Ambulatory Category for ambulation ability [14], American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale [15] for swallowing ability, and the Korean Version of the Frenchay Aphasia Screening Test [16] for language. The evaluation was a one-on-one, face-to-face process. A questionnaire survey was conducted with the Geriatric Depression Scale-Short Form [17] to evaluate emotional level.

2. Analytical Methods

Descriptive statistics was used to describe the participants’ demographic and clinical characteristics. To compare those with functional deterioration to those with no functional deterioration in every independent and dependent patient, an independent t-test and Chi-square test were used for continuous variables and categorical variables, respectively. The results of continuous variables were presented as mean (standard deviation), and the results of categorical variables were presented as frequency (percentage). For variables that showed statistical differences in the patients with functional deterioration and those with no functional deterioration, the dependent variables were set as the patients with functional deterioration. Independent variables that can predict functional decline were tested via binary logistic regression analysis. A p-value less than 0.05 was considered to be statistically significant. All data were analyzed using SPSS version 24.0 (IBM Co.).

For the total 4,023 participants, the mean age 3 years post-onset was 65.6±12.4 years, 60.7% were male participants, and 79.5% had experienced ischemic stroke. Among the total participants, the mean mRS at 3 years and 4 years post onset of stroke was 1.05±1.17 and 1.10±1.23, respectively, showing a statistically significant reduction (p<0.05). A functional decline 4 years post onset was reported in 392 (12.9%) patients with independence and 120 (12.1%) patients with dependence; no statistically significant difference in a decline in functioning was observed between the groups (Figure 2).

Figure 2. Rate of functional deterioration from 3 years to 4 years after stroke onset according to independence at 3 years after stroke
There was no significant difference in the rate of functional deterioration between the two groups.

1. Analysis of Independent Patients Three Years Post Onset of Stroke

For the 3,028 participants with mRS 0 or 1, who did not present disability 3 years post onset, Table 1 shows the demographic and clinical characteristics of 392 participants with functional deterioration and 2,636 participants with no functional deterioration. Compared to the latter, the former group was older with a higher rate of not having a spouse (p<0.05). The prevalence of hypertension, diabetes mellitus, and atrial fibrillation was statistically higher (p<0.05), which caused a statistically significantly higher rate of comorbidity (p<0.05). A statistically higher rate of ischemic cerebral infarction was observed in the participants with functional deterioration (p<0.05), but no significant difference in pre-stroke functional level and the severity of stroke seven days post onset was observed between the two groups. Participants with functional deterioration four years post onset showed a statistically significant decline in cognitive function, motor functioning, ambulation ability, swallowing ability, language skill, and emotional level three years post onset of stroke compared to those with no functional deterioration (p<0.05, Table 1).

Table 1. General and functional characteristics of stroke patients with independence at 3 years after stroke
VariableFunctional deterioration (n=392)No functional deterioration (n=2,636)p-value
General and clinical characteristic
Age (yr)67.2±12.3*63.6±11.9<0.001
Sex, male:female64.0:36.063.4:36.60.822
Education0.071
Elementary school degree or less27.922.8
Middle school degree49.250.9
Bachelor’s degree or more22.926.3
Spouse, yes80.7*85.30.026
Medical history
Hypertension55.2*49.60.043
Diabetes mellitus24.8*18.70.006
Coronary heart disease7.04.90.084
Atrial fibrillation8.1*4.90.014
Hyperlipidemia12.39.50.091
CCAS2.6±1.7*2.1±1.8<0.001
Premorbid mRS (score)0.6±1.20.6±1.20.418
Stroke type, ischemic:hemorrhagic84.7:15.3*80.2:19.80.033
NIHSS at 7 days after stroke onset2.1±3.21.8±3.40.181
Functional characteristics at 3 years after onset
K-MMSE27.1±3.6*28.1±2.7<0.001
Fugl-Meyer Assessment97.9±7.0*99.0±4.50.003
Functional Ambulatory Category4.9±0.4*5.0±0.20.001
AHSA-NOMS6.8±0.5*6.9±0.30.001
Short K-FAST17.3±3.4*18.1±2.7<0.001
GDS-SF3.6±3.6*2.9±3.20.001

Data are presented as mean±standard deviation or %. CCAS=combined condition- and age-related score; mRS=modified Rankin scale; NIHSS=National Institutes of Health Stroke Scale; K-MMSE=Korean Mini-Mental State Examination; AHSA-NOMS=American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale; Short K-FAST=Short Korean Version of the Frenchay Aphasia Screening Test; GDS-SF=Geriatric depression scale-short form. *p<0.05.



When factors with statistical differences between the participants with functional deterioration and those with no functional deterioration were verified using the binary logistic regression analysis, age, comorbidity severity, and ambulation ability three years post-onset were analyzed as independent predictive factors (p<0.05). Presence of a spouse, cognitive function, swallowing ability, and emotional level three years post onset were analyzed as predictive factors with a tendency (Table 2).

Table 2. Binary logistic regression analysis results to identify factors at 3 years after stroke associated with the functional deterioration at 4 years after stroke
PredictorRegression coefficientSEWald χ2p-valueOdds ratio (95% CI)
Stroke patients with independence at 3 years
Age0.013*0.0064.8010.0281.013 (1.001–1.025)
Spouse–0.2880.1533.5450.0600.750 (0.555–1.012)
CCAS0.094*0.0347.5610.0061.099 (1.028–1.175)
K-MMSE–0.0410.0223.6740.0550.960 (0.419–0.959)
Functional Ambulatory Category–0.456*0.2114.6610.0310.634 (0.419–0.959)
AHSA-NOMS–0.3010.1752.9530.0860.740 (0.525–1.043)
GDS-SF0.0320.0173.4700.0621.033 (0.998–1.068)
Stroke patients with dependence at 3 years
Age0.030*0.0109.3920.0021.031 (1.011–1.050)
K-MMSE–0.0260.0143.4630.0630.974 (0.948–1.001)

SE=standard error; CI=confidence interval; CCAS=combined condition- and age-related score; K-MMSE=Korean Mini-Mental State Examination; AHSA-NOMS=American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale; GDS-SF=Geriatric depression scale-short form. *p<0.05.



2. Analysis of Dependent Patients Three Years Post Onset of Stroke

Among the 995 participants with mRS 2 to 4, who presented disability, Table 3 shows the demographic and clinical characteristics of 120 participants with functional deterioration and 875 participants with no functional deterioration three years post onset. Compared to the participants with no functional deterioration, those with functional deterioration were older (p<0.05), but no statistical difference in education level, presence of spouse, and comorbidities was observed. No significant difference in the features of a stroke, pre-stroke functional level, and the severity of stroke seven days post onset was observed between the two groups. Participants with functional deterioration four years post onset showed a statistically significant decline in cognitive function, ambulation ability, swallowing ability, and language skill three years post onset of stroke compared to those with no functional deterioration (p<0.05, Table 3).

Table 3. General and functional characteristics of stroke patients with dependence at 3 years after stroke
VariableFunctional deterioration (n=120)No functional deterioration (n=875)p-value
General and clinical characteristics
Age (yr)74.7±12.2*69.6±12.2<0.001
Sex, male:female53.3:46.751.9:48.10.771
Education0.379
Elementary school degree or less43.944.9
Middle school degree39.542.9
Bachelor’s degree or more16.712.1
Spouse, yes70.272.90.576
Medical history
Hypertension61.757.80.480
Diabetes mellitus27.426.30.824
Coronary heart disease7.66.00.540
Atrial fibrillation7.87.30.850
Hyperlipidemia15.410.30.112
CCAS2.6±2.22.6±1.90.764
Premorbid mRS (score)0.5±1.10.7±1.40.150
Stroke type, ischemic:hemorrhagic80.8:19.2*75.0:25.00.174
NIHSS at 7 days after stroke onset6.7±7.26.9±6.80.693
Functional characteristics at 3 years after onset
K-MMSE19.8±7.7*21.9±7.10.007
Fugl-Meyer Assessment73.9±28.573.8±27.50.972
Functional Ambulatory Category3.2±1.3*3.5±1.40.017
AHSA-NOMS6.4±1.0*6.6±0.70.009
Short K-FAST11.0±5.9*12.6±5.60.006
GDS-SF3.8±4.54.3±4.80.249

Data are presented as mean±standard deviation or %. CCAS=combined condition- and age-related score; mRS=modified Rankin scale; NIHSS=National Institutes of Health Stroke Scale; K-MMSE=Korean Mini-Mental State Examination; AHSA-NOMS=American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale; Short K-FAST=Short Korean Version of the Frenchay Aphasia Screening Test; GDS-SF=Geriatric depression scale-short form. *p<0.05.



When factors with statistical differences between the participants with functional deterioration and those with no functional deterioration were verified using the binary logistic regression analysis, age and cognitive function three years post onset were analyzed as independent predictive factors (p<0.05, Table 2).

This study divided the total participants into two groups, namely independent and dependent patients. Among the characteristics investigated three years post onset of stroke in each group, the factors that can predict a decline in functioning four years post onset were identified. Of the 4,023 participants, 12.9% independent patients and 12.1% dependent patients showed a functional decline four years post onset. The predictive factors for functional decline four years post onset were age, comorbidity severity, and ambulation ability in the independent patients and age and cognitive function in the dependent patients.

In 2021, the annual incidence of stroke was reported to be 108,950 cases in the Republic of Korea [18]. Since this study shows that approximately 12.1–12.9% of patients reported functional decline 4 years post onset of stroke, an annual incidence of functional decline can be projected to be 13,618 patients (calculated as 12.5%) with chronic stroke. Predicting functional decline in those patients using the predictive factors identified in this study and providing customized rehabilitation therapy to prevent decline can significantly reduce societal burden and improve quality of life.

Predictive factors for functional decline were different between the two groups, which implies a need for management strategies that differ depending on the functional level of chronic phase stroke patients [19]. Among the independent patients three years post-onset of stroke, age, comorbidity severity, and ambulation ability were analyzed as predictive factors for a statistically significant decline in independent functioning. Among the factors, the ambulation ability is the sole modifiable factor that can fluctuate with additional rehabilitation therapies [7]. A decline in ambulation ability reduces activity level and causes deconditioning, which supposedly resulted in functional decline [20]. Accordingly, appropriate rehabilitation therapy to maintain or enhance ambulation ability for chronic phase stroke patients, who can perform daily routine activities independently, is expected to prevent functional decline [20]. The incidence of functional decline is higher especially among older adult stroke patients in the chronic phase since they are more likely to have comorbidities. They should be prioritized while administering appropriate rehabilitation therapy for chronic phase stroke to promote ambulation ability [21].

However, age and cognitive function three years post onset were analyzed as predictive factors for statistically significant decline in independent functioning among the dependent patients three years post onset of stroke. Owing to a relatively low ambulation ability, cognitive function is assumed to play a more important role in performing daily routine activities [22]. Accordingly, appropriate rehabilitation therapy to maintain or enhance cognitive function for stroke patients in the chronic phase, who cannot perform routine activities independently, is expected to prevent functional decline [23]. Since the incidence of functional decline is higher especially among older chronic stroke patients, they should be prioritized while administering appropriate rehabilitation therapy in the chronic phase to promote cognitive function [24].

The results emphasize the importance of customized rehabilitation strategies to maintain and improve functioning for chronic stroke patients. A program focused on improved ambulation ability for independent patients and an intervention that emphasizes improved cognitive function for dependent patients can be effective [25,26]. Furthermore, since irreversible factors, such as age and comorbidity, were also identified as critical predictive factors, there is a need for more aggressive and persistent management for high-risk patients [2,27].

In conclusion, this study provides a basis for establishing customized rehabilitation strategies by investigating the predictive factors for functional decline in stroke patients in the chronic phase. Further research that develops a customized rehabilitation program in consideration of the predictive factors and verifies its effectiveness is needed [27]. Additionally, the results of this study are expected to contribute to the establishment of policy for maintaining long-term functioning and improving the quality of life of chronic phase stroke patients [2].

Ethics Statement: This multicenter cohort study was approved by the Institutional Review Board of each participating hospital.

Funding Source: This study was supported by the Research Program funded by the Korea Disease Control and Prevention Agency (no. 3300-3334-300-260-00, 2013-E33017-00, 2013E-33017-01, 2013E-33017-02, 2016-E33003-00, 2016-E33003-01, 2016-E33003-02, 2019-E3202-00, 2019-E3202-01, 2019-E3202-02, 2022-11-006).

Acknowledgments: None.

Conflict of Interest: The authors have no conflicts of interest to declare.

Author Contributions: Conceptualization: YHL, YTK, YHK, and WHC. Data curation: DYK, JML, Min Kyun Sohn, YIS, YSL, Min-Keun Song, MCJ, SYL, DNC, GJO, JHA, JHH, YHK, and WHC. Formal analysis: DHK and WHC. Funding acquisition: YHK and WHC. Methodology: DHK, HSL, DYK, JML, Min Kyun Sohn, YIS, YSL, Min-Keun Song, MCJ, SYL, DNC, GJO, JHA, JHH, YHK, and WHC. Supervision: DYK, JML, Min Kyun Sohn, YIS, YSL, Min-Keun Song, MCJ, SYL, GJO, JHA, JHH, YHK, and WHC. Writing – original draft: DHK and HSL. Writing – review & editing: YHL, YTK, YHK, and WHC.

  1. GBD 2019 Stroke Collaborators, assignee. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2021;20:795-820, a.
    Pubmed KoreaMed CrossRef
  2. Winstein CJ, Stein J, Arena R, et al; American Heart Association Stroke Council, Council on Cardiovascular and Stroke Nursing, Council on Clinical Cardiology, and Council on Quality of Care and Outcomes Research, assignee. Guidelines for adult stroke rehabilitation and recovery: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2016;47:e98-169.
    Pubmed KoreaMed CrossRef
  3. Poomalai G, Prabhakar S, Sirala Jagadesh N, assignee. Functional ability and health problems of stroke survivors: an explorative study. Cureus 2023;15:e33375.
    Pubmed KoreaMed CrossRef
  4. Meyer S, Verheyden G, Brinkmann N, et al, assignee. Functional and motor outcome 5 years after stroke is equivalent to outcome at 2 months: follow-up of the collaborative evaluation of rehabilitation in stroke across Europe. Stroke 2015;46:1613-9.
    Pubmed KoreaMed CrossRef
  5. Shin S, Lee Y, Chang WH, et al, assignee. Multifaceted assessment of functional outcomes in survivors of first-time Stroke. JAMA Netw Open 2022;5:e2233094.
    Pubmed KoreaMed CrossRef
  6. Ullberg T, Zia E, Petersson J, Norrving B, assignee. Changes in functional outcome over the first year after stroke: an observational study from the Swedish stroke register. Stroke 2015;46:389-94.
    Pubmed KoreaMed CrossRef
  7. Langhorne P, Bernhardt J, Kwakkel G, assignee. Stroke rehabilitation. Lancet 2011;377:1693-702.
    Pubmed KoreaMed CrossRef
  8. Stinear CM, Smith MC, Byblow WD, assignee. Prediction tools for stroke rehabilitation. Stroke 2019;50:3314-22.
    Pubmed KoreaMed CrossRef
  9. Chang WH, Sohn MK, Lee J, et al, assignee. Korean Stroke Cohort for functioning and rehabilitation (KOSCO): study rationale and protocol of a multi-centre prospective cohort study. BMC Neurol 2015;15:42.
    Pubmed KoreaMed CrossRef
  10. Burn JP, assignee. Reliability of the modified Rankin Scale. Stroke 1992;23:438.
    Pubmed KoreaMed CrossRef
  11. Bernardini J, Callen S, Fried L, Piraino B, assignee. Inter-rater reliability and annual rescoring of the Charlson comorbidity index. Adv Perit Dial 2004;20:125-7.
    CrossRef
  12. Kang Y, Na DL, Hahn S, assignee. A validity study on the Korean mini-mental state examination (K-MMSE) in dementia patients. J Korean Neurol Assoc 1997;15:300-8.
  13. Fugl-Meyer AR, Jääskö L, Leyman I, Olsson S, Steglind S, assignee. The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. Scand J Rehabil Med 1975;7:13-31.
    Pubmed KoreaMed CrossRef
  14. Holden MK, Gill KM, Magliozzi MR, Nathan J, Piehl-Baker L, assignee. Clinical gait assessment in the neurologically impaired. Reliability and meaningfulness. Phys Ther 1984;64:35-40.
    Pubmed KoreaMed CrossRef
  15. Wesling M, Brady S, Jensen M, Nickell M, Statkus D, Escobar N, assignee. Dysphagia outcomes in patients with brain tumors undergoing inpatient rehabilitation. Dysphagia 2003;18:203-10.
    Pubmed KoreaMed CrossRef
  16. Pyun SB, Hwang YM, Ha JW, Yi H, Park KW, Nam K, assignee. Standardization of Korean version of frenchay aphasia screening test in normal adults. J Korean Acad Rehabil Med 2009;33:436-40.
  17. Lesher EL, Berryhill JS, assignee. Validation of the geriatric depression scale--short form among inpatients. J Clin Psychol 1994;50:256-60.
    Pubmed KoreaMed CrossRef
  18. Korea Disease Control and Prevention Agency (KDCA), assignee. Increase in myocardial infarction by 54.5% and stroke by 9.5% over 10 years [Internet]. KDCA; 2024 [cited 2024 Sep 12].
    Available from: https://www.kdca.go.kr/board/board.es?mid=a20501010000&bid=0015&list_no=725117&cg_code=&act=view&nPage=1&newsField=202404
  19. Hankey GJ, assignee. Long-term outcome after ischaemic stroke/transient ischaemic attack. Cerebrovasc Dis 2003;16 Suppl 1:14-9.
    Pubmed KoreaMed CrossRef
  20. English C, Manns PJ, Tucak C, Bernhardt J, assignee. Physical activity and sedentary behaviors in people with stroke living in the community: a systematic review. Phys Ther 2014;94:185-96.
    Pubmed KoreaMed CrossRef
  21. Bagg S, Pombo AP, Hopman W, assignee. Effect of age on functional outcomes after stroke rehabilitation. Stroke 2002;33:179-85.
    Pubmed KoreaMed CrossRef
  22. Patel MD, Coshall C, Rudd AG, Wolfe CD, assignee. Cognitive impairment after stroke: clinical determinants and its associations with long-term stroke outcomes. J Am Geriatr Soc 2002;50:700-6.
    Pubmed KoreaMed CrossRef
  23. Cumming TB, Marshall RS, Lazar RM, assignee. Stroke, cognitive deficits, and rehabilitation: still an incomplete picture. Int J Stroke 2013;8:38-45.
    Pubmed KoreaMed CrossRef
  24. Levine DA, Galecki AT, Langa KM, et al, assignee. Trajectory of cognitive decline after incident stroke. JAMA 2015;314:41-51.
    Pubmed KoreaMed CrossRef
  25. Mayo NE, Wood-Dauphinee S, Côté R, Durcan L, Carlton J, assignee. Activity, participation, and quality of life 6 months poststroke. Arch Phys Med Rehabil 2002;83:1035-42.
    Pubmed KoreaMed CrossRef
  26. Dhamoon MS, Moon YP, Paik MC, et al, assignee. Long-term functional recovery after first ischemic stroke: the Northern Manhattan Study. Stroke 2009;40:2805-11.
    Pubmed KoreaMed CrossRef
  27. Stinear CM, Lang CE, Zeiler S, Byblow WD, assignee. Advances and challenges in stroke rehabilitation. Lancet Neurol 2020;19:348-60.
    Pubmed KoreaMed CrossRef

Original Articles

Public Health Weekly Report 2024; 17(42): 1767-1785

Published online October 28, 2024 https://doi.org/10.56786/PHWR.2024.17.42.1

Copyright © The Korea Disease Control and Prevention Agency.

Factors Associated with Functional Deterioration in Stroke Patients 3 Years after Onset: A KOSCO Study

Dae Hyun Kim1, Deog Young Kim2, Jongmin Lee3, Min Kyun Sohn4, Min-Keun Song5, Yong-Il Shin6, Yang-Soo Lee7, Min Cheol Joo8, So Young Lee9, Jeonghoon Ahn10, Gyung-Jae Oh11, Young Hoon Lee11, Junhee Han12, Ho Seok Lee1, Doona Cho1, Young-Taek Kim13, Yun-Hee Kim14*, Won Hyuk Chang1,15*

1Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, 2Department and Research Institute of Rehabilitation Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, 3Department of Rehabilitation Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea, 4Department of Rehabilitation Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea, 5Department of Physical and Rehabilitation Medicine, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea, 6Department of Rehabilitation Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea, 7Department of Rehabilitation Medicine, Kyungpook National University Hospital, Kyungpook National University School of Medicine, Daegu, Korea, 8Department of Rehabilitation Medicine, Wonkwang University Hospital, Wonkwang University School of Medicine, Iksan, Korea, 9Department of Physical Medicine and Rehabilitation, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Korea, 10Department of Health Convergence, Ewha Womans University, Seoul, Korea, 11Department of Preventive Medicine, Wonkwang University School of Medicine, Iksan, Korea, 12Department of Statistics, Hallym University, Chuncheon, Korea, 13Department of Preventive Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea, 14Sungkyunkwan University School of Medicine, Suwon, Korea, 15Department of Health Science and Technology, Department of Medical Devices Management and Research, Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Suwon, Korea

Correspondence to:*Corresponding author: Won Hyuk Chang, Tel: +82-2-3410-6068, E-mail: wh.chang@samsung.com
Yun-Hee Kim, Tel: +82-2-3410-2818, E-mail: yunkim@skku.edu

Received: September 27, 2024; Revised: October 11, 2024; Accepted: October 11, 2024

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This study aimed to identify the factors predicting functional decline 4 years after stroke based on patient characteristics 3 years after stroke. We analyzed data from the Korean Stroke Cohort for Functioning and Rehabilitation study. Functional decline was defined as an increase in the modified Rankin scale (mRS) 4 years after stroke compared to that at 3 years after stroke. Participants were divided into two groups based on their mRS 3 years after stroke: independent (mRS 0–1) and dependent (mRS 2–4) activities of daily living groups. Of the 4,023 participants, 3,028 were in the independent group and 995 in the dependent group. Functional decline was observed in 12.9% and 12.1% of the independent and dependent groups, respectively, 4 years after stroke. In the independent group, age, degree of comorbidity, and mobility function 3 years after stroke were identified as predictors of functional decline. In the dependent group, age and cognitive function 3 years after stroke were predictive factors. These findings can contribute to the development of tailored rehabilitation strategies to prevent functional decline in patients with chronic stroke.

Keywords: Stroke, Chronic phase, Functional deterioration, Predictive factors, Cohort

Body

Key messages

① What is known previously?

It is well known that intensive rehabilitation is crucial for patients with stroke in the acute and subacute phases. Still, information on functional changes in chronic stroke patients has been lacking.

② What new information is presented?

Between 3–4 years after stroke, approximately 12–13% of patients experience functional decline. Age, comorbidities, and mobility were key predictors in independent patients, while age and cognitive function were the main predictors in dependent patients.

③ What are implications?

Tailored treatment strategies based on patient functional levels are necessary. Improving mobility is essential for independent patients, while enhancing cognitive function in dependent patients should be the focus of rehabilitation programs.

Introduction

Stroke is a leading cause of death and disability worldwide; it significantly impacts the long-term functional status and quality of life of survivors [1]. Recent advances in treatment for stroke in the acute phase and in rehabilitation therapy have increased survival rate and life expectancy, but the long-term management of stroke in the chronic phase has become medically and socially challenging [2]. However, there are relatively few studies investigating changes in the functioning of patients in the chronic phase compared to studies investigating the improvement in functioning in the acute and subacute phases [3].

Functional changes in patients with stroke in the chronic phase are affected by various complex factors. In general, functional ability in the chronic phase may become stable or deteriorate gradually [4]. In previous studies conducted by this study team, the ability of performing routine activities decreased statistically significantly between three years and four years after the stroke [5,6]. Remarkably decreased long-term functional ability can increase the patient’s dependency and present a sizeable societal burden, resulting in decreased long-term survival rate [7]. Accordingly, predicting and preventing a decrease in functional ability in these phases is critical. Therefore, it is necessary to identify factors within patient characteristics three years after the onset that can predict decreased functional ability four years after a stroke. Identifying predictive factors can help detect high-risk patients early and enable customized interventions [8].

This study determines factors that can predict a decline in functional ability four years after the onset from the patient characteristics investigated three years after a stroke. This will provide basic data to establish efficient therapeutic strategies that can prevent a decline in the functional ability of patients with stroke in the chronic phase and ultimately contribute to improved quality of life and reduced societal burden.

Methods

1. Study Population

This study analyzed data from first-ever stroke patients of the Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO), designed as a consignment project and long-term follow-up of stroke patients conducted by the Korean Disease Control and Prevention Agency. The first-ever stroke cohort included 7,858 patients who consented to a long-term follow-up, among 10,636 first-ever acute stroke patients (8,210 with cerebral infarction and 2,426 with cerebral hemorrhage) who were hospitalized seven days before the onset of stroke in nine hospitals nationwide between August 2012 and May 2015. The detailed protocol of the KOSCO is provided in the previous study [9]. Among the 7,858 participants who consented to the long-term follow-up of KOSCO, the functioning of 4,731 participants was evaluated face-to-face three years post onset. Of the 4,731 participants, this study analyzed data from stroke patients with the modified Rankin scale (mRS) [10] 0 to 4 (from no symptoms to moderate to severe symptoms). From those with mRS, five were excluded from this study because the level of disability could not be evaluated. Therefore, 3,266 participants with mRS 0 or 1, who were capable of independently performing routine activities, were defined as independent patients. The 1,165 participants with mRS 2 to 4, who were incapable of independently performing routine activities, were defined as dependent patients. Among them, 4,023 participants, including 3,028 independent and 955 dependent patients, who were evaluated face-to-face for functioning four years post onset, were analyzed (Figure 1). Furthermore, an increase in the mRS score due to decreased functioning four years compared to three years post onset was defined as functional deterioration. A reduction or maintenance of mRS was defined as no functional deterioration in both groups.

Figure 1. Flow chart of participants
KOSCO=Korean Stroke Cohort for Functioning and Rehabilitation.

Sociodemographic characteristics, such as age, sex, education level, family background, comorbidities, and pre-stroke functional level, were collected from medical records. The severity of comorbidity was evaluated with combined condition-and age-related score [11] of the Charlson comorbidity index. Pre-stroke functional level was evaluated using mRS. The features and severity of a stroke seven days post-onset were evaluated. Multifaceted assessment of functional outcomes three years post-onset was conducted by using the Korean Mini-Mental State Examination for cognitive function [12], Fugl-Meyer Assessment [13] for motor functioning, Functional Ambulatory Category for ambulation ability [14], American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale [15] for swallowing ability, and the Korean Version of the Frenchay Aphasia Screening Test [16] for language. The evaluation was a one-on-one, face-to-face process. A questionnaire survey was conducted with the Geriatric Depression Scale-Short Form [17] to evaluate emotional level.

2. Analytical Methods

Descriptive statistics was used to describe the participants’ demographic and clinical characteristics. To compare those with functional deterioration to those with no functional deterioration in every independent and dependent patient, an independent t-test and Chi-square test were used for continuous variables and categorical variables, respectively. The results of continuous variables were presented as mean (standard deviation), and the results of categorical variables were presented as frequency (percentage). For variables that showed statistical differences in the patients with functional deterioration and those with no functional deterioration, the dependent variables were set as the patients with functional deterioration. Independent variables that can predict functional decline were tested via binary logistic regression analysis. A p-value less than 0.05 was considered to be statistically significant. All data were analyzed using SPSS version 24.0 (IBM Co.).

Results

For the total 4,023 participants, the mean age 3 years post-onset was 65.6±12.4 years, 60.7% were male participants, and 79.5% had experienced ischemic stroke. Among the total participants, the mean mRS at 3 years and 4 years post onset of stroke was 1.05±1.17 and 1.10±1.23, respectively, showing a statistically significant reduction (p<0.05). A functional decline 4 years post onset was reported in 392 (12.9%) patients with independence and 120 (12.1%) patients with dependence; no statistically significant difference in a decline in functioning was observed between the groups (Figure 2).

Figure 2. Rate of functional deterioration from 3 years to 4 years after stroke onset according to independence at 3 years after stroke
There was no significant difference in the rate of functional deterioration between the two groups.

1. Analysis of Independent Patients Three Years Post Onset of Stroke

For the 3,028 participants with mRS 0 or 1, who did not present disability 3 years post onset, Table 1 shows the demographic and clinical characteristics of 392 participants with functional deterioration and 2,636 participants with no functional deterioration. Compared to the latter, the former group was older with a higher rate of not having a spouse (p<0.05). The prevalence of hypertension, diabetes mellitus, and atrial fibrillation was statistically higher (p<0.05), which caused a statistically significantly higher rate of comorbidity (p<0.05). A statistically higher rate of ischemic cerebral infarction was observed in the participants with functional deterioration (p<0.05), but no significant difference in pre-stroke functional level and the severity of stroke seven days post onset was observed between the two groups. Participants with functional deterioration four years post onset showed a statistically significant decline in cognitive function, motor functioning, ambulation ability, swallowing ability, language skill, and emotional level three years post onset of stroke compared to those with no functional deterioration (p<0.05, Table 1).

General and functional characteristics of stroke patients with independence at 3 years after stroke
VariableFunctional deterioration (n=392)No functional deterioration (n=2,636)p-value
General and clinical characteristic
Age (yr)67.2±12.3*63.6±11.9<0.001
Sex, male:female64.0:36.063.4:36.60.822
Education0.071
Elementary school degree or less27.922.8
Middle school degree49.250.9
Bachelor’s degree or more22.926.3
Spouse, yes80.7*85.30.026
Medical history
Hypertension55.2*49.60.043
Diabetes mellitus24.8*18.70.006
Coronary heart disease7.04.90.084
Atrial fibrillation8.1*4.90.014
Hyperlipidemia12.39.50.091
CCAS2.6±1.7*2.1±1.8<0.001
Premorbid mRS (score)0.6±1.20.6±1.20.418
Stroke type, ischemic:hemorrhagic84.7:15.3*80.2:19.80.033
NIHSS at 7 days after stroke onset2.1±3.21.8±3.40.181
Functional characteristics at 3 years after onset
K-MMSE27.1±3.6*28.1±2.7<0.001
Fugl-Meyer Assessment97.9±7.0*99.0±4.50.003
Functional Ambulatory Category4.9±0.4*5.0±0.20.001
AHSA-NOMS6.8±0.5*6.9±0.30.001
Short K-FAST17.3±3.4*18.1±2.7<0.001
GDS-SF3.6±3.6*2.9±3.20.001

Data are presented as mean±standard deviation or %. CCAS=combined condition- and age-related score; mRS=modified Rankin scale; NIHSS=National Institutes of Health Stroke Scale; K-MMSE=Korean Mini-Mental State Examination; AHSA-NOMS=American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale; Short K-FAST=Short Korean Version of the Frenchay Aphasia Screening Test; GDS-SF=Geriatric depression scale-short form. *p<0.05..



When factors with statistical differences between the participants with functional deterioration and those with no functional deterioration were verified using the binary logistic regression analysis, age, comorbidity severity, and ambulation ability three years post-onset were analyzed as independent predictive factors (p<0.05). Presence of a spouse, cognitive function, swallowing ability, and emotional level three years post onset were analyzed as predictive factors with a tendency (Table 2).

Binary logistic regression analysis results to identify factors at 3 years after stroke associated with the functional deterioration at 4 years after stroke
PredictorRegression coefficientSEWald χ2p-valueOdds ratio (95% CI)
Stroke patients with independence at 3 years
Age0.013*0.0064.8010.0281.013 (1.001–1.025)
Spouse–0.2880.1533.5450.0600.750 (0.555–1.012)
CCAS0.094*0.0347.5610.0061.099 (1.028–1.175)
K-MMSE–0.0410.0223.6740.0550.960 (0.419–0.959)
Functional Ambulatory Category–0.456*0.2114.6610.0310.634 (0.419–0.959)
AHSA-NOMS–0.3010.1752.9530.0860.740 (0.525–1.043)
GDS-SF0.0320.0173.4700.0621.033 (0.998–1.068)
Stroke patients with dependence at 3 years
Age0.030*0.0109.3920.0021.031 (1.011–1.050)
K-MMSE–0.0260.0143.4630.0630.974 (0.948–1.001)

SE=standard error; CI=confidence interval; CCAS=combined condition- and age-related score; K-MMSE=Korean Mini-Mental State Examination; AHSA-NOMS=American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale; GDS-SF=Geriatric depression scale-short form. *p<0.05..



2. Analysis of Dependent Patients Three Years Post Onset of Stroke

Among the 995 participants with mRS 2 to 4, who presented disability, Table 3 shows the demographic and clinical characteristics of 120 participants with functional deterioration and 875 participants with no functional deterioration three years post onset. Compared to the participants with no functional deterioration, those with functional deterioration were older (p<0.05), but no statistical difference in education level, presence of spouse, and comorbidities was observed. No significant difference in the features of a stroke, pre-stroke functional level, and the severity of stroke seven days post onset was observed between the two groups. Participants with functional deterioration four years post onset showed a statistically significant decline in cognitive function, ambulation ability, swallowing ability, and language skill three years post onset of stroke compared to those with no functional deterioration (p<0.05, Table 3).

General and functional characteristics of stroke patients with dependence at 3 years after stroke
VariableFunctional deterioration (n=120)No functional deterioration (n=875)p-value
General and clinical characteristics
Age (yr)74.7±12.2*69.6±12.2<0.001
Sex, male:female53.3:46.751.9:48.10.771
Education0.379
Elementary school degree or less43.944.9
Middle school degree39.542.9
Bachelor’s degree or more16.712.1
Spouse, yes70.272.90.576
Medical history
Hypertension61.757.80.480
Diabetes mellitus27.426.30.824
Coronary heart disease7.66.00.540
Atrial fibrillation7.87.30.850
Hyperlipidemia15.410.30.112
CCAS2.6±2.22.6±1.90.764
Premorbid mRS (score)0.5±1.10.7±1.40.150
Stroke type, ischemic:hemorrhagic80.8:19.2*75.0:25.00.174
NIHSS at 7 days after stroke onset6.7±7.26.9±6.80.693
Functional characteristics at 3 years after onset
K-MMSE19.8±7.7*21.9±7.10.007
Fugl-Meyer Assessment73.9±28.573.8±27.50.972
Functional Ambulatory Category3.2±1.3*3.5±1.40.017
AHSA-NOMS6.4±1.0*6.6±0.70.009
Short K-FAST11.0±5.9*12.6±5.60.006
GDS-SF3.8±4.54.3±4.80.249

Data are presented as mean±standard deviation or %. CCAS=combined condition- and age-related score; mRS=modified Rankin scale; NIHSS=National Institutes of Health Stroke Scale; K-MMSE=Korean Mini-Mental State Examination; AHSA-NOMS=American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale; Short K-FAST=Short Korean Version of the Frenchay Aphasia Screening Test; GDS-SF=Geriatric depression scale-short form. *p<0.05..



When factors with statistical differences between the participants with functional deterioration and those with no functional deterioration were verified using the binary logistic regression analysis, age and cognitive function three years post onset were analyzed as independent predictive factors (p<0.05, Table 2).

Discussion

This study divided the total participants into two groups, namely independent and dependent patients. Among the characteristics investigated three years post onset of stroke in each group, the factors that can predict a decline in functioning four years post onset were identified. Of the 4,023 participants, 12.9% independent patients and 12.1% dependent patients showed a functional decline four years post onset. The predictive factors for functional decline four years post onset were age, comorbidity severity, and ambulation ability in the independent patients and age and cognitive function in the dependent patients.

In 2021, the annual incidence of stroke was reported to be 108,950 cases in the Republic of Korea [18]. Since this study shows that approximately 12.1–12.9% of patients reported functional decline 4 years post onset of stroke, an annual incidence of functional decline can be projected to be 13,618 patients (calculated as 12.5%) with chronic stroke. Predicting functional decline in those patients using the predictive factors identified in this study and providing customized rehabilitation therapy to prevent decline can significantly reduce societal burden and improve quality of life.

Predictive factors for functional decline were different between the two groups, which implies a need for management strategies that differ depending on the functional level of chronic phase stroke patients [19]. Among the independent patients three years post-onset of stroke, age, comorbidity severity, and ambulation ability were analyzed as predictive factors for a statistically significant decline in independent functioning. Among the factors, the ambulation ability is the sole modifiable factor that can fluctuate with additional rehabilitation therapies [7]. A decline in ambulation ability reduces activity level and causes deconditioning, which supposedly resulted in functional decline [20]. Accordingly, appropriate rehabilitation therapy to maintain or enhance ambulation ability for chronic phase stroke patients, who can perform daily routine activities independently, is expected to prevent functional decline [20]. The incidence of functional decline is higher especially among older adult stroke patients in the chronic phase since they are more likely to have comorbidities. They should be prioritized while administering appropriate rehabilitation therapy for chronic phase stroke to promote ambulation ability [21].

However, age and cognitive function three years post onset were analyzed as predictive factors for statistically significant decline in independent functioning among the dependent patients three years post onset of stroke. Owing to a relatively low ambulation ability, cognitive function is assumed to play a more important role in performing daily routine activities [22]. Accordingly, appropriate rehabilitation therapy to maintain or enhance cognitive function for stroke patients in the chronic phase, who cannot perform routine activities independently, is expected to prevent functional decline [23]. Since the incidence of functional decline is higher especially among older chronic stroke patients, they should be prioritized while administering appropriate rehabilitation therapy in the chronic phase to promote cognitive function [24].

The results emphasize the importance of customized rehabilitation strategies to maintain and improve functioning for chronic stroke patients. A program focused on improved ambulation ability for independent patients and an intervention that emphasizes improved cognitive function for dependent patients can be effective [25,26]. Furthermore, since irreversible factors, such as age and comorbidity, were also identified as critical predictive factors, there is a need for more aggressive and persistent management for high-risk patients [2,27].

In conclusion, this study provides a basis for establishing customized rehabilitation strategies by investigating the predictive factors for functional decline in stroke patients in the chronic phase. Further research that develops a customized rehabilitation program in consideration of the predictive factors and verifies its effectiveness is needed [27]. Additionally, the results of this study are expected to contribute to the establishment of policy for maintaining long-term functioning and improving the quality of life of chronic phase stroke patients [2].

Declarations

Ethics Statement: This multicenter cohort study was approved by the Institutional Review Board of each participating hospital.

Funding Source: This study was supported by the Research Program funded by the Korea Disease Control and Prevention Agency (no. 3300-3334-300-260-00, 2013-E33017-00, 2013E-33017-01, 2013E-33017-02, 2016-E33003-00, 2016-E33003-01, 2016-E33003-02, 2019-E3202-00, 2019-E3202-01, 2019-E3202-02, 2022-11-006).

Acknowledgments: None.

Conflict of Interest: The authors have no conflicts of interest to declare.

Author Contributions: Conceptualization: YHL, YTK, YHK, and WHC. Data curation: DYK, JML, Min Kyun Sohn, YIS, YSL, Min-Keun Song, MCJ, SYL, DNC, GJO, JHA, JHH, YHK, and WHC. Formal analysis: DHK and WHC. Funding acquisition: YHK and WHC. Methodology: DHK, HSL, DYK, JML, Min Kyun Sohn, YIS, YSL, Min-Keun Song, MCJ, SYL, DNC, GJO, JHA, JHH, YHK, and WHC. Supervision: DYK, JML, Min Kyun Sohn, YIS, YSL, Min-Keun Song, MCJ, SYL, GJO, JHA, JHH, YHK, and WHC. Writing – original draft: DHK and HSL. Writing – review & editing: YHL, YTK, YHK, and WHC.

Fig 1.

Figure 1.Flow chart of participants
KOSCO=Korean Stroke Cohort for Functioning and Rehabilitation.
Public Health Weekly Report 2024; 17: 1767-1785https://doi.org/10.56786/PHWR.2024.17.42.1

Fig 2.

Figure 2.Rate of functional deterioration from 3 years to 4 years after stroke onset according to independence at 3 years after stroke
There was no significant difference in the rate of functional deterioration between the two groups.
Public Health Weekly Report 2024; 17: 1767-1785https://doi.org/10.56786/PHWR.2024.17.42.1
General and functional characteristics of stroke patients with independence at 3 years after stroke
VariableFunctional deterioration (n=392)No functional deterioration (n=2,636)p-value
General and clinical characteristic
Age (yr)67.2±12.3*63.6±11.9<0.001
Sex, male:female64.0:36.063.4:36.60.822
Education0.071
Elementary school degree or less27.922.8
Middle school degree49.250.9
Bachelor’s degree or more22.926.3
Spouse, yes80.7*85.30.026
Medical history
Hypertension55.2*49.60.043
Diabetes mellitus24.8*18.70.006
Coronary heart disease7.04.90.084
Atrial fibrillation8.1*4.90.014
Hyperlipidemia12.39.50.091
CCAS2.6±1.7*2.1±1.8<0.001
Premorbid mRS (score)0.6±1.20.6±1.20.418
Stroke type, ischemic:hemorrhagic84.7:15.3*80.2:19.80.033
NIHSS at 7 days after stroke onset2.1±3.21.8±3.40.181
Functional characteristics at 3 years after onset
K-MMSE27.1±3.6*28.1±2.7<0.001
Fugl-Meyer Assessment97.9±7.0*99.0±4.50.003
Functional Ambulatory Category4.9±0.4*5.0±0.20.001
AHSA-NOMS6.8±0.5*6.9±0.30.001
Short K-FAST17.3±3.4*18.1±2.7<0.001
GDS-SF3.6±3.6*2.9±3.20.001

Data are presented as mean±standard deviation or %. CCAS=combined condition- and age-related score; mRS=modified Rankin scale; NIHSS=National Institutes of Health Stroke Scale; K-MMSE=Korean Mini-Mental State Examination; AHSA-NOMS=American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale; Short K-FAST=Short Korean Version of the Frenchay Aphasia Screening Test; GDS-SF=Geriatric depression scale-short form. *p<0.05..


Binary logistic regression analysis results to identify factors at 3 years after stroke associated with the functional deterioration at 4 years after stroke
PredictorRegression coefficientSEWald χ2p-valueOdds ratio (95% CI)
Stroke patients with independence at 3 years
Age0.013*0.0064.8010.0281.013 (1.001–1.025)
Spouse–0.2880.1533.5450.0600.750 (0.555–1.012)
CCAS0.094*0.0347.5610.0061.099 (1.028–1.175)
K-MMSE–0.0410.0223.6740.0550.960 (0.419–0.959)
Functional Ambulatory Category–0.456*0.2114.6610.0310.634 (0.419–0.959)
AHSA-NOMS–0.3010.1752.9530.0860.740 (0.525–1.043)
GDS-SF0.0320.0173.4700.0621.033 (0.998–1.068)
Stroke patients with dependence at 3 years
Age0.030*0.0109.3920.0021.031 (1.011–1.050)
K-MMSE–0.0260.0143.4630.0630.974 (0.948–1.001)

SE=standard error; CI=confidence interval; CCAS=combined condition- and age-related score; K-MMSE=Korean Mini-Mental State Examination; AHSA-NOMS=American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale; GDS-SF=Geriatric depression scale-short form. *p<0.05..


General and functional characteristics of stroke patients with dependence at 3 years after stroke
VariableFunctional deterioration (n=120)No functional deterioration (n=875)p-value
General and clinical characteristics
Age (yr)74.7±12.2*69.6±12.2<0.001
Sex, male:female53.3:46.751.9:48.10.771
Education0.379
Elementary school degree or less43.944.9
Middle school degree39.542.9
Bachelor’s degree or more16.712.1
Spouse, yes70.272.90.576
Medical history
Hypertension61.757.80.480
Diabetes mellitus27.426.30.824
Coronary heart disease7.66.00.540
Atrial fibrillation7.87.30.850
Hyperlipidemia15.410.30.112
CCAS2.6±2.22.6±1.90.764
Premorbid mRS (score)0.5±1.10.7±1.40.150
Stroke type, ischemic:hemorrhagic80.8:19.2*75.0:25.00.174
NIHSS at 7 days after stroke onset6.7±7.26.9±6.80.693
Functional characteristics at 3 years after onset
K-MMSE19.8±7.7*21.9±7.10.007
Fugl-Meyer Assessment73.9±28.573.8±27.50.972
Functional Ambulatory Category3.2±1.3*3.5±1.40.017
AHSA-NOMS6.4±1.0*6.6±0.70.009
Short K-FAST11.0±5.9*12.6±5.60.006
GDS-SF3.8±4.54.3±4.80.249

Data are presented as mean±standard deviation or %. CCAS=combined condition- and age-related score; mRS=modified Rankin scale; NIHSS=National Institutes of Health Stroke Scale; K-MMSE=Korean Mini-Mental State Examination; AHSA-NOMS=American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale; Short K-FAST=Short Korean Version of the Frenchay Aphasia Screening Test; GDS-SF=Geriatric depression scale-short form. *p<0.05..


References

  1. GBD 2019 Stroke Collaborators, assignee. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2021;20:795-820, a.
    Pubmed KoreaMed CrossRef
  2. Winstein CJ, Stein J, Arena R, et al; American Heart Association Stroke Council, Council on Cardiovascular and Stroke Nursing, Council on Clinical Cardiology, and Council on Quality of Care and Outcomes Research, assignee. Guidelines for adult stroke rehabilitation and recovery: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2016;47:e98-169.
    Pubmed KoreaMed CrossRef
  3. Poomalai G, Prabhakar S, Sirala Jagadesh N, assignee. Functional ability and health problems of stroke survivors: an explorative study. Cureus 2023;15:e33375.
    Pubmed KoreaMed CrossRef
  4. Meyer S, Verheyden G, Brinkmann N, et al, assignee. Functional and motor outcome 5 years after stroke is equivalent to outcome at 2 months: follow-up of the collaborative evaluation of rehabilitation in stroke across Europe. Stroke 2015;46:1613-9.
    Pubmed KoreaMed CrossRef
  5. Shin S, Lee Y, Chang WH, et al, assignee. Multifaceted assessment of functional outcomes in survivors of first-time Stroke. JAMA Netw Open 2022;5:e2233094.
    Pubmed KoreaMed CrossRef
  6. Ullberg T, Zia E, Petersson J, Norrving B, assignee. Changes in functional outcome over the first year after stroke: an observational study from the Swedish stroke register. Stroke 2015;46:389-94.
    Pubmed KoreaMed CrossRef
  7. Langhorne P, Bernhardt J, Kwakkel G, assignee. Stroke rehabilitation. Lancet 2011;377:1693-702.
    Pubmed KoreaMed CrossRef
  8. Stinear CM, Smith MC, Byblow WD, assignee. Prediction tools for stroke rehabilitation. Stroke 2019;50:3314-22.
    Pubmed KoreaMed CrossRef
  9. Chang WH, Sohn MK, Lee J, et al, assignee. Korean Stroke Cohort for functioning and rehabilitation (KOSCO): study rationale and protocol of a multi-centre prospective cohort study. BMC Neurol 2015;15:42.
    Pubmed KoreaMed CrossRef
  10. Burn JP, assignee. Reliability of the modified Rankin Scale. Stroke 1992;23:438.
    Pubmed KoreaMed CrossRef
  11. Bernardini J, Callen S, Fried L, Piraino B, assignee. Inter-rater reliability and annual rescoring of the Charlson comorbidity index. Adv Perit Dial 2004;20:125-7.
    CrossRef
  12. Kang Y, Na DL, Hahn S, assignee. A validity study on the Korean mini-mental state examination (K-MMSE) in dementia patients. J Korean Neurol Assoc 1997;15:300-8.
  13. Fugl-Meyer AR, Jääskö L, Leyman I, Olsson S, Steglind S, assignee. The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. Scand J Rehabil Med 1975;7:13-31.
    Pubmed KoreaMed CrossRef
  14. Holden MK, Gill KM, Magliozzi MR, Nathan J, Piehl-Baker L, assignee. Clinical gait assessment in the neurologically impaired. Reliability and meaningfulness. Phys Ther 1984;64:35-40.
    Pubmed KoreaMed CrossRef
  15. Wesling M, Brady S, Jensen M, Nickell M, Statkus D, Escobar N, assignee. Dysphagia outcomes in patients with brain tumors undergoing inpatient rehabilitation. Dysphagia 2003;18:203-10.
    Pubmed KoreaMed CrossRef
  16. Pyun SB, Hwang YM, Ha JW, Yi H, Park KW, Nam K, assignee. Standardization of Korean version of frenchay aphasia screening test in normal adults. J Korean Acad Rehabil Med 2009;33:436-40.
  17. Lesher EL, Berryhill JS, assignee. Validation of the geriatric depression scale--short form among inpatients. J Clin Psychol 1994;50:256-60.
    Pubmed KoreaMed CrossRef
  18. Korea Disease Control and Prevention Agency (KDCA), assignee. Increase in myocardial infarction by 54.5% and stroke by 9.5% over 10 years [Internet]. KDCA; 2024 [cited 2024 Sep 12]. Available from: https://www.kdca.go.kr/board/board.es?mid=a20501010000&bid=0015&list_no=725117&cg_code=&act=view&nPage=1&newsField=202404
  19. Hankey GJ, assignee. Long-term outcome after ischaemic stroke/transient ischaemic attack. Cerebrovasc Dis 2003;16 Suppl 1:14-9.
    Pubmed KoreaMed CrossRef
  20. English C, Manns PJ, Tucak C, Bernhardt J, assignee. Physical activity and sedentary behaviors in people with stroke living in the community: a systematic review. Phys Ther 2014;94:185-96.
    Pubmed KoreaMed CrossRef
  21. Bagg S, Pombo AP, Hopman W, assignee. Effect of age on functional outcomes after stroke rehabilitation. Stroke 2002;33:179-85.
    Pubmed KoreaMed CrossRef
  22. Patel MD, Coshall C, Rudd AG, Wolfe CD, assignee. Cognitive impairment after stroke: clinical determinants and its associations with long-term stroke outcomes. J Am Geriatr Soc 2002;50:700-6.
    Pubmed KoreaMed CrossRef
  23. Cumming TB, Marshall RS, Lazar RM, assignee. Stroke, cognitive deficits, and rehabilitation: still an incomplete picture. Int J Stroke 2013;8:38-45.
    Pubmed KoreaMed CrossRef
  24. Levine DA, Galecki AT, Langa KM, et al, assignee. Trajectory of cognitive decline after incident stroke. JAMA 2015;314:41-51.
    Pubmed KoreaMed CrossRef
  25. Mayo NE, Wood-Dauphinee S, Côté R, Durcan L, Carlton J, assignee. Activity, participation, and quality of life 6 months poststroke. Arch Phys Med Rehabil 2002;83:1035-42.
    Pubmed KoreaMed CrossRef
  26. Dhamoon MS, Moon YP, Paik MC, et al, assignee. Long-term functional recovery after first ischemic stroke: the Northern Manhattan Study. Stroke 2009;40:2805-11.
    Pubmed KoreaMed CrossRef
  27. Stinear CM, Lang CE, Zeiler S, Byblow WD, assignee. Advances and challenges in stroke rehabilitation. Lancet Neurol 2020;19:348-60.
    Pubmed KoreaMed CrossRef

Share

  • line

Related articles

PHWR