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
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
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
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.
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.
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.
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.
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.
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).
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).
| Variable | Functional 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:female | 64.0:36.0 | 63.4:36.6 | 0.822 |
| Education | 0.071 | ||
| Elementary school degree or less | 27.9 | 22.8 | |
| Middle school degree | 49.2 | 50.9 | |
| Bachelor’s degree or more | 22.9 | 26.3 | |
| Spouse, yes | 80.7* | 85.3 | 0.026 |
| Medical history | |||
| Hypertension | 55.2* | 49.6 | 0.043 |
| Diabetes mellitus | 24.8* | 18.7 | 0.006 |
| Coronary heart disease | 7.0 | 4.9 | 0.084 |
| Atrial fibrillation | 8.1* | 4.9 | 0.014 |
| Hyperlipidemia | 12.3 | 9.5 | 0.091 |
| CCAS | 2.6±1.7* | 2.1±1.8 | <0.001 |
| Premorbid mRS (score) | 0.6±1.2 | 0.6±1.2 | 0.418 |
| Stroke type, ischemic:hemorrhagic | 84.7:15.3* | 80.2:19.8 | 0.033 |
| NIHSS at 7 days after stroke onset | 2.1±3.2 | 1.8±3.4 | 0.181 |
| Functional characteristics at 3 years after onset | |||
| K-MMSE | 27.1±3.6* | 28.1±2.7 | <0.001 |
| Fugl-Meyer Assessment | 97.9±7.0* | 99.0±4.5 | 0.003 |
| Functional Ambulatory Category | 4.9±0.4* | 5.0±0.2 | 0.001 |
| AHSA-NOMS | 6.8±0.5* | 6.9±0.3 | 0.001 |
| Short K-FAST | 17.3±3.4* | 18.1±2.7 | <0.001 |
| GDS-SF | 3.6±3.6* | 2.9±3.2 | 0.001 |
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).
| Predictor | Regression coefficient | SE | Wald χ2 | p-value | Odds ratio (95% CI) |
|---|---|---|---|---|---|
| Stroke patients with independence at 3 years | |||||
| Age | 0.013* | 0.006 | 4.801 | 0.028 | 1.013 (1.001–1.025) |
| Spouse | –0.288 | 0.153 | 3.545 | 0.060 | 0.750 (0.555–1.012) |
| CCAS | 0.094* | 0.034 | 7.561 | 0.006 | 1.099 (1.028–1.175) |
| K-MMSE | –0.041 | 0.022 | 3.674 | 0.055 | 0.960 (0.419–0.959) |
| Functional Ambulatory Category | –0.456* | 0.211 | 4.661 | 0.031 | 0.634 (0.419–0.959) |
| AHSA-NOMS | –0.301 | 0.175 | 2.953 | 0.086 | 0.740 (0.525–1.043) |
| GDS-SF | 0.032 | 0.017 | 3.470 | 0.062 | 1.033 (0.998–1.068) |
| Stroke patients with dependence at 3 years | |||||
| Age | 0.030* | 0.010 | 9.392 | 0.002 | 1.031 (1.011–1.050) |
| K-MMSE | –0.026 | 0.014 | 3.463 | 0.063 | 0.974 (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.
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).
| Variable | Functional 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:female | 53.3:46.7 | 51.9:48.1 | 0.771 |
| Education | 0.379 | ||
| Elementary school degree or less | 43.9 | 44.9 | |
| Middle school degree | 39.5 | 42.9 | |
| Bachelor’s degree or more | 16.7 | 12.1 | |
| Spouse, yes | 70.2 | 72.9 | 0.576 |
| Medical history | |||
| Hypertension | 61.7 | 57.8 | 0.480 |
| Diabetes mellitus | 27.4 | 26.3 | 0.824 |
| Coronary heart disease | 7.6 | 6.0 | 0.540 |
| Atrial fibrillation | 7.8 | 7.3 | 0.850 |
| Hyperlipidemia | 15.4 | 10.3 | 0.112 |
| CCAS | 2.6±2.2 | 2.6±1.9 | 0.764 |
| Premorbid mRS (score) | 0.5±1.1 | 0.7±1.4 | 0.150 |
| Stroke type, ischemic:hemorrhagic | 80.8:19.2* | 75.0:25.0 | 0.174 |
| NIHSS at 7 days after stroke onset | 6.7±7.2 | 6.9±6.8 | 0.693 |
| Functional characteristics at 3 years after onset | |||
| K-MMSE | 19.8±7.7* | 21.9±7.1 | 0.007 |
| Fugl-Meyer Assessment | 73.9±28.5 | 73.8±27.5 | 0.972 |
| Functional Ambulatory Category | 3.2±1.3* | 3.5±1.4 | 0.017 |
| AHSA-NOMS | 6.4±1.0* | 6.6±0.7 | 0.009 |
| Short K-FAST | 11.0±5.9* | 12.6±5.6 | 0.006 |
| GDS-SF | 3.8±4.5 | 4.3±4.8 | 0.249 |
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.
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.
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
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.
Keywords: Stroke, Chronic phase, Functional deterioration, Predictive factors, Cohort
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.
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.
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.
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.
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.
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).
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).
| Variable | Functional 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:female | 64.0:36.0 | 63.4:36.6 | 0.822 |
| Education | 0.071 | ||
| Elementary school degree or less | 27.9 | 22.8 | |
| Middle school degree | 49.2 | 50.9 | |
| Bachelor’s degree or more | 22.9 | 26.3 | |
| Spouse, yes | 80.7* | 85.3 | 0.026 |
| Medical history | |||
| Hypertension | 55.2* | 49.6 | 0.043 |
| Diabetes mellitus | 24.8* | 18.7 | 0.006 |
| Coronary heart disease | 7.0 | 4.9 | 0.084 |
| Atrial fibrillation | 8.1* | 4.9 | 0.014 |
| Hyperlipidemia | 12.3 | 9.5 | 0.091 |
| CCAS | 2.6±1.7* | 2.1±1.8 | <0.001 |
| Premorbid mRS (score) | 0.6±1.2 | 0.6±1.2 | 0.418 |
| Stroke type, ischemic:hemorrhagic | 84.7:15.3* | 80.2:19.8 | 0.033 |
| NIHSS at 7 days after stroke onset | 2.1±3.2 | 1.8±3.4 | 0.181 |
| Functional characteristics at 3 years after onset | |||
| K-MMSE | 27.1±3.6* | 28.1±2.7 | <0.001 |
| Fugl-Meyer Assessment | 97.9±7.0* | 99.0±4.5 | 0.003 |
| Functional Ambulatory Category | 4.9±0.4* | 5.0±0.2 | 0.001 |
| AHSA-NOMS | 6.8±0.5* | 6.9±0.3 | 0.001 |
| Short K-FAST | 17.3±3.4* | 18.1±2.7 | <0.001 |
| GDS-SF | 3.6±3.6* | 2.9±3.2 | 0.001 |
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).
| Predictor | Regression coefficient | SE | Wald χ2 | p-value | Odds ratio (95% CI) |
|---|---|---|---|---|---|
| Stroke patients with independence at 3 years | |||||
| Age | 0.013* | 0.006 | 4.801 | 0.028 | 1.013 (1.001–1.025) |
| Spouse | –0.288 | 0.153 | 3.545 | 0.060 | 0.750 (0.555–1.012) |
| CCAS | 0.094* | 0.034 | 7.561 | 0.006 | 1.099 (1.028–1.175) |
| K-MMSE | –0.041 | 0.022 | 3.674 | 0.055 | 0.960 (0.419–0.959) |
| Functional Ambulatory Category | –0.456* | 0.211 | 4.661 | 0.031 | 0.634 (0.419–0.959) |
| AHSA-NOMS | –0.301 | 0.175 | 2.953 | 0.086 | 0.740 (0.525–1.043) |
| GDS-SF | 0.032 | 0.017 | 3.470 | 0.062 | 1.033 (0.998–1.068) |
| Stroke patients with dependence at 3 years | |||||
| Age | 0.030* | 0.010 | 9.392 | 0.002 | 1.031 (1.011–1.050) |
| K-MMSE | –0.026 | 0.014 | 3.463 | 0.063 | 0.974 (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..
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).
| Variable | Functional 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:female | 53.3:46.7 | 51.9:48.1 | 0.771 |
| Education | 0.379 | ||
| Elementary school degree or less | 43.9 | 44.9 | |
| Middle school degree | 39.5 | 42.9 | |
| Bachelor’s degree or more | 16.7 | 12.1 | |
| Spouse, yes | 70.2 | 72.9 | 0.576 |
| Medical history | |||
| Hypertension | 61.7 | 57.8 | 0.480 |
| Diabetes mellitus | 27.4 | 26.3 | 0.824 |
| Coronary heart disease | 7.6 | 6.0 | 0.540 |
| Atrial fibrillation | 7.8 | 7.3 | 0.850 |
| Hyperlipidemia | 15.4 | 10.3 | 0.112 |
| CCAS | 2.6±2.2 | 2.6±1.9 | 0.764 |
| Premorbid mRS (score) | 0.5±1.1 | 0.7±1.4 | 0.150 |
| Stroke type, ischemic:hemorrhagic | 80.8:19.2* | 75.0:25.0 | 0.174 |
| NIHSS at 7 days after stroke onset | 6.7±7.2 | 6.9±6.8 | 0.693 |
| Functional characteristics at 3 years after onset | |||
| K-MMSE | 19.8±7.7* | 21.9±7.1 | 0.007 |
| Fugl-Meyer Assessment | 73.9±28.5 | 73.8±27.5 | 0.972 |
| Functional Ambulatory Category | 3.2±1.3* | 3.5±1.4 | 0.017 |
| AHSA-NOMS | 6.4±1.0* | 6.6±0.7 | 0.009 |
| Short K-FAST | 11.0±5.9* | 12.6±5.6 | 0.006 |
| GDS-SF | 3.8±4.5 | 4.3±4.8 | 0.249 |
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.
| Variable | Functional 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:female | 64.0:36.0 | 63.4:36.6 | 0.822 |
| Education | 0.071 | ||
| Elementary school degree or less | 27.9 | 22.8 | |
| Middle school degree | 49.2 | 50.9 | |
| Bachelor’s degree or more | 22.9 | 26.3 | |
| Spouse, yes | 80.7* | 85.3 | 0.026 |
| Medical history | |||
| Hypertension | 55.2* | 49.6 | 0.043 |
| Diabetes mellitus | 24.8* | 18.7 | 0.006 |
| Coronary heart disease | 7.0 | 4.9 | 0.084 |
| Atrial fibrillation | 8.1* | 4.9 | 0.014 |
| Hyperlipidemia | 12.3 | 9.5 | 0.091 |
| CCAS | 2.6±1.7* | 2.1±1.8 | <0.001 |
| Premorbid mRS (score) | 0.6±1.2 | 0.6±1.2 | 0.418 |
| Stroke type, ischemic:hemorrhagic | 84.7:15.3* | 80.2:19.8 | 0.033 |
| NIHSS at 7 days after stroke onset | 2.1±3.2 | 1.8±3.4 | 0.181 |
| Functional characteristics at 3 years after onset | |||
| K-MMSE | 27.1±3.6* | 28.1±2.7 | <0.001 |
| Fugl-Meyer Assessment | 97.9±7.0* | 99.0±4.5 | 0.003 |
| Functional Ambulatory Category | 4.9±0.4* | 5.0±0.2 | 0.001 |
| AHSA-NOMS | 6.8±0.5* | 6.9±0.3 | 0.001 |
| Short K-FAST | 17.3±3.4* | 18.1±2.7 | <0.001 |
| GDS-SF | 3.6±3.6* | 2.9±3.2 | 0.001 |
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..
| Predictor | Regression coefficient | SE | Wald χ2 | p-value | Odds ratio (95% CI) |
|---|---|---|---|---|---|
| Stroke patients with independence at 3 years | |||||
| Age | 0.013* | 0.006 | 4.801 | 0.028 | 1.013 (1.001–1.025) |
| Spouse | –0.288 | 0.153 | 3.545 | 0.060 | 0.750 (0.555–1.012) |
| CCAS | 0.094* | 0.034 | 7.561 | 0.006 | 1.099 (1.028–1.175) |
| K-MMSE | –0.041 | 0.022 | 3.674 | 0.055 | 0.960 (0.419–0.959) |
| Functional Ambulatory Category | –0.456* | 0.211 | 4.661 | 0.031 | 0.634 (0.419–0.959) |
| AHSA-NOMS | –0.301 | 0.175 | 2.953 | 0.086 | 0.740 (0.525–1.043) |
| GDS-SF | 0.032 | 0.017 | 3.470 | 0.062 | 1.033 (0.998–1.068) |
| Stroke patients with dependence at 3 years | |||||
| Age | 0.030* | 0.010 | 9.392 | 0.002 | 1.031 (1.011–1.050) |
| K-MMSE | –0.026 | 0.014 | 3.463 | 0.063 | 0.974 (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..
| Variable | Functional 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:female | 53.3:46.7 | 51.9:48.1 | 0.771 |
| Education | 0.379 | ||
| Elementary school degree or less | 43.9 | 44.9 | |
| Middle school degree | 39.5 | 42.9 | |
| Bachelor’s degree or more | 16.7 | 12.1 | |
| Spouse, yes | 70.2 | 72.9 | 0.576 |
| Medical history | |||
| Hypertension | 61.7 | 57.8 | 0.480 |
| Diabetes mellitus | 27.4 | 26.3 | 0.824 |
| Coronary heart disease | 7.6 | 6.0 | 0.540 |
| Atrial fibrillation | 7.8 | 7.3 | 0.850 |
| Hyperlipidemia | 15.4 | 10.3 | 0.112 |
| CCAS | 2.6±2.2 | 2.6±1.9 | 0.764 |
| Premorbid mRS (score) | 0.5±1.1 | 0.7±1.4 | 0.150 |
| Stroke type, ischemic:hemorrhagic | 80.8:19.2* | 75.0:25.0 | 0.174 |
| NIHSS at 7 days after stroke onset | 6.7±7.2 | 6.9±6.8 | 0.693 |
| Functional characteristics at 3 years after onset | |||
| K-MMSE | 19.8±7.7* | 21.9±7.1 | 0.007 |
| Fugl-Meyer Assessment | 73.9±28.5 | 73.8±27.5 | 0.972 |
| Functional Ambulatory Category | 3.2±1.3* | 3.5±1.4 | 0.017 |
| AHSA-NOMS | 6.4±1.0* | 6.6±0.7 | 0.009 |
| Short K-FAST | 11.0±5.9* | 12.6±5.6 | 0.006 |
| GDS-SF | 3.8±4.5 | 4.3±4.8 | 0.249 |
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..
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