GLORIA

GEOMAR Library Ocean Research Information Access

Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
Filter
  • Joo, Min Cheol  (8)
  • 2015-2019  (8)
  • 1
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 46, No. suppl_1 ( 2015-02)
    Kurzfassung: Introduction: Few studies investigated the relationship between the normal fasting blood sugar (FBS) level at onset and functional outcome (K-Modified Barthel Index; KMBI) at 6 months after stroke. Aims: The aim of this study is to investigate whether normal FBS level predicts 6-Month KBMI after adjustment for cardiovascular disease risk factors socioeconomic position and health behavior factors in Korean stroke patients. Methods: This is an interim report of the Korean Stroke Cohort for Functioning and Rehabilitation (KosCo). The sample included 816 ischemic stroke patients aged 18-92 years. KBMI score was assessed at 6 months after stroke onset. We divided subjects into three FBS levels according to FBS tertile: lower (70 ≤ FBS 〈 104 mg/dl), medium (104 ≤ FBS 〈 118 mg/dl), and higher (118 ≤ FBS 〈 140 mg/dl). Results: The mean age of subjects was 63.2 (±13.6) years. The mean of discharge KBMI and 6-month KBMI was 73.9 (±29.5) and 85.2 (±28.9), respectively. The mean of discharge KBMI for patients with lower, medium, and higher FBS level at onset was 77.7 (±26.8), 72.6 (±29.8), and 72.6 (±29.8), respectively (p 〈 0.05); the mean of 6-Month KBMI 88.5 (±25.7), 84.9 (±29.5), and 82.2 (±31.1), respectively (p 〈 0.05). The 6-Month KBMI significantly decreased in patients with higher FBS levels compared to lower FBS levels after adjustment for confounding factors (p 〈 0.05). Conclusions: These hospital-based cohort study showed that higher FBS level at onset may predict poor functional outcome at 6 months after stroke (Supported by Korea Centers for Disease Control and Prevention (2013E3301701)).
    Materialart: Online-Ressource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Sprache: Englisch
    Verlag: Ovid Technologies (Wolters Kluwer Health)
    Publikationsdatum: 2015
    ZDB Id: 1467823-8
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 50, No. Suppl_1 ( 2019-02)
    Kurzfassung: Objective: The objective of this study was to apply the clustering approach of multi-facet functional recovery pattern with big data of in the Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO) using artificial intelligence, and to provide valuable prediction models for clinically use. Methods: This study was an interim analysis of the KOSCO designed as 10 years long-term follow-up study of stroke patients. We analyzed data of participants who completed functional assessments from 7 days to 12 months after ischemic stroke onset. Functional assessments included Korean modified Barthel Index (K-MBI), Korean Mini-Mental State Examination (K-MMSE), Fugl-Meyer Assessment (FMA), Functional Ambulatory Category (FAC), the American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale (ASHA-NOMS), and Short Korean Version of Frenchay Aphasia Screening Test (Short K-FAST). The cluster analysis using artificial intelligence was performed for multi-facet functional recovery patterns of independency, motor, ambulation, cognition, language, and swallowing functions. After the cluster analysis, a group of rehabilitation specialists reviewed the clinical meaningfulness with clustered population, whether the groups had high homogeneity and representativeness of the clinical stroke recovery patterns. After these clustering approaches, a prediction model using machine learning was performed. The accuracy of classification of this prediction model was evaluated by comparing how much the prediction was equivalent to the actual clustering result. Results: After the machine learning in supervised manners on artificial intelligence, recovery patterns after stroke could be classified into ten groups. Each group showed a different multi-facet functional recovery pattern from 7 day to 12 months, and this clustering showed a clinically acceptance. In addition, the accuracy in classification with clinical characteristics at 7 days showed more than 73.0%. Conclusion: The results of this study demonstrated the potentials of the clustering and predicting functional recovery patterns of stroke patients using artificial intelligence.
    Materialart: Online-Ressource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Sprache: Englisch
    Verlag: Ovid Technologies (Wolters Kluwer Health)
    Publikationsdatum: 2019
    ZDB Id: 1467823-8
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    In: Neuroepidemiology, S. Karger AG, Vol. 46, No. 1 ( 2016), p. 24-30
    Kurzfassung: 〈 b 〉 〈 i 〉 Background: 〈 /i 〉 〈 /b 〉 The aim of this study was to investigate whether chronic kidney disease (CKD) predicts the outcome of the Functional Independence Measure (FIM) and the Korean version of the modified Barthel Index (K-MBI) 6 months after stroke with adjustment for age, gender, education, smoking, drinking, obesity, hypertension, diabetes mellitus, dyslipidemia, the FIM or K-MBI at discharge and the National Institutes of Health Stroke Scale (NIHSS) score 7 days post stroke. 〈 b 〉 〈 i 〉 Methods: 〈 /i 〉 〈 /b 〉 This study is an interim report of the Korean Stroke Cohort for Functioning and Rehabilitation. The sample included 2,037 ischemic stroke patients aged 18 years or older. The FIM and K-MBI scores were assessed at discharge and at 6 months after the onset of stroke. The estimated glomerular filtration rate (eGFR) was calculated using the Chronic Kidney Disease Epidemiology Collaboration equation. CKD was defined as an eGFR 〈 60 ml/min/1.73 m 〈 sup 〉 2 〈 /sup 〉 . 〈 b 〉 〈 i 〉 Results: 〈 /i 〉 〈 /b 〉 Overall, the mean age was 65.5 (±12.4) years. The proportion of men was 62.6%. The proportion of CKD cases was 12.7%. The means of the 6-month FIM and K-MBI were 109.8 (±27.9) and 87.0 (±26.4), respectively. In multiple linear regressions, the 6-month FIM after stroke was significantly associated with CKD (-2.85, p 〈 0.05), age (-0.29, p 〈 0.01), the FIM at discharge (0.46, p 〈 0.01) and the 7-day NIHSS score (-1.71, p 〈 0.01). Additionally, the post-stroke 6-month K-MBI was significantly associated with CKD (-2.88, p 〈 0.01), age (-0.27, p 〈 0.01), the K-MBI at discharge (0.46, p 〈 0.01) and the 7-day NIHSS score (-1.55, p 〈 0.01). 〈 b 〉 〈 i 〉 Conclusions: 〈 /i 〉 〈 /b 〉 This nationwide hospital-based cohort study showed that CKD might predict poor 6-month FIM and K-MBI scores in ischemic stroke patients.
    Materialart: Online-Ressource
    ISSN: 0251-5350 , 1423-0208
    Sprache: Englisch
    Verlag: S. Karger AG
    Publikationsdatum: 2016
    ZDB Id: 1483032-2
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 46, No. suppl_1 ( 2015-02)
    Kurzfassung: Introduction: Few studies investigated the diabetes mellitus (DM) as a predictable factor of 6 months K-Modified Barthel Index (KMBI) outcome after stroke. Aims: The aim of this study is to investigate whether DM predicts the outcome of KMBI at 6-month after stroke with adjustment for cardiovascular disease risk factors, socioeconomic position and health behavior factors. Methods: This is an interim report of the Korean Stroke Cohort for Functioning and Rehabilitation (KosCo). The sample included 1,199 stroke patients aged 45-92 years. FIM score was assessed at 6 months after onset. We divided subjects into two age groups: the middle aged (45-64 year-old) and the elderly (over 65 year-old). Subjects who met one of the following requirements were defined as having DM: taking an oral hyperglycemic agent, using insulin, clinical diagnosis of diabetes, or a fasting glucose level 〉 125 mg/dL. Results: The mean age of the middle aged group was 55.8(±5.44) year-old and the elderly group was 74.3(±6.14)(p 〈 0.001). The distribution of DM was 20.8% and 28.9%, respectively (p 〈 0.001). The mean 6-Month KMBI was 91.7 (±20.7) and 78.4 (±33.1), respectively (p 〈 0.001). The 6-Month KMBI significantly decreased in DM group compared to the non DM group after adjustment for confounding factors. In the middle aged group, the 6-Month KMBI decreased in DM group (p 〈 0.01), but in the elderly group. Conclusions: This hospital-based cohort study showed that DM may predict poor 6-Month KMBI outcome, especially, for the middle aged group (Supported by Korea Centers for Disease Control and Prevention (2013E3301701)).
    Materialart: Online-Ressource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Sprache: Englisch
    Verlag: Ovid Technologies (Wolters Kluwer Health)
    Publikationsdatum: 2015
    ZDB Id: 1467823-8
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 5
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 50, No. Suppl_1 ( 2019-02)
    Kurzfassung: Objective: The objective of this study was to investigate differences of functional recovery pattern and the factors associated with recovery pattern between male and female stroke patients. Methods: This study was an interim analysis of the Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO) designed as 10 years long-term follow-up study of stroke patients. We analyzed serial data up to 24 months of multi-facet functional assessments such as Korean-Modified Barthel Index (K-MBI), Fugl-Meyer Assessment (FMA), Functional ambulation classification (FAC), American Speech-Language-Hearing Association-National Outcomes Measurement System (ASHA-NOMS), Korean version of Frenchay Aphasia Screening Test (K-FAST) to identify sex-specific differences after adjustments for difference with age, type of stroke, premorbid functional level, degree of comorbidity, and multi-facet functional levels at 7 day after stroke. Results: Out of total 10,636 stroke patients (6,043 male and 4,593 female), female patients showed significantly older age, lower education level, lower body mass index, worse premorbid functional level, higher co-morbidity and more severe initial severity assessed by NIHSS compared with male stroke patients (p 〈 0.05, Table 1). Even after multiple adjustments for differences, multi-facet functional outcomes were more severe in female stroke patients such as lower FMA, K-FAST, and FAC at 7 day; lower K-MBI, K-FAST, and FAC at 3, 12, and 24 months; lower ASHA-NOMS at 24 months (p 〈 0.05, Table 2). Conclusion: The results of this study could provide more specific information for establishing the stroke rehabilitation strategy according to sex.
    Materialart: Online-Ressource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Sprache: Englisch
    Verlag: Ovid Technologies (Wolters Kluwer Health)
    Publikationsdatum: 2019
    ZDB Id: 1467823-8
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 6
    In: Disability and Rehabilitation, Informa UK Limited, Vol. 39, No. 9 ( 2017-04-24), p. 904-910
    Materialart: Online-Ressource
    ISSN: 0963-8288 , 1464-5165
    Sprache: Englisch
    Verlag: Informa UK Limited
    Publikationsdatum: 2017
    ZDB Id: 1475605-5
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 7
    In: BMJ Open, BMJ, Vol. 9, No. 7 ( 2019-07), p. e028673-
    Kurzfassung: To investigate the rate of return to work and identify key factors associated with return to work between 3 months and 2 years after stroke. Design Prospective cohort study. Setting The Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO) in Korea. Participants A total of 193 persons with first-ever stroke who reported working status at 3 months after stroke. Outcome measures Data on baseline characteristics were collected from medical records. Functional assessments were performed using the National Institutes of Health Stroke Scale, the modified Rankin Scale, the Fugl-Meyer Assessment, the Functional Ambulatory Category, the Korean Mini-Mental State Examination, the Korean version of the Frenchay Aphasia Screening Test, the American Speech-Language-Hearing Association National Outcomes Measurement System, the Korean-Modified Barthel Index, the Geriatric Depression Scale-Short Form and the EuroQol-5 dimensions. An enumeration survey included the Reintegration to Normal Living Index, the Psychosocial Well-being Index-Short Form (, the Family Support Index and the Caregivers Burden Index. Results Overall, 145 (75.1%) patients who had a stroke in the "Continuously-Employed" group and 48 (24.9%) in the "Employed-Unemployed" group returned to work between 3 months and 2 years after stroke. Multivariate logistic analysis demonstrated that in patients who had a stroke, characteristics such as age, PWI-SF Score, and caregiver characteristics, including age, sex (female) and living arrangements, were significantly associated with return to work between 3 months and 2 years after stroke. Conclusion Age and PWI-SF Score of patients who had a stroke, as well as the age, sex and living arrangements of caregivers, are key factors influencing the return to work after stroke. Trial registration number NCT03402451 .
    Materialart: Online-Ressource
    ISSN: 2044-6055 , 2044-6055
    Sprache: Englisch
    Verlag: BMJ
    Publikationsdatum: 2019
    ZDB Id: 2599832-8
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 8
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 46, No. suppl_1 ( 2015-02)
    Kurzfassung: Introduction: Previously, association between body mass index (BMI) and K-Modified Barthel Index (KMBI) score was reported. However, few studies investigated the value of obesity as a predictive factor of 6 months functional outcome after stroke. Aims: The aim of this study is to examine whether BMI predicts the 6-month KMBI after stroke onset with adjustment for cardiovascular disease risk factors socioeconomic position and health behavior factors in stroke patients. Methods: This is an interim report of the Korean Stroke Cohort for Functioning and Rehabilitation (KosCo). The sample included 1,299 stroke patients, both ischemic and hemorrhagic, aged 18-92 years. FIM score was assessed at 6 months after stroke onset. Subjects were classified into three groups based on their baseline BMI categories at admission: normal (18.5 ≤ BMI 〈 23), overweight (23 ≤ BMI 〈 25), or obese (BMI ≥ 25) groups. Results: The mean age was 64.1 (±12.8) years. The distribution of overweight and obese groups was 28.5 % and 36.3 %, respectively. The mean 6-month KMBI was 85.6 (±27.6) and 88.0 (±26.0), respectively. The 6-month KMBI significantly increased in obese group compared to the normal BMI group after adjustment for confounding factors. In the ischemic stroke, the 6-month KMBI was increased in the obese group (p 〈 0.05), but not in the hemorrhagic stroke. Conclusions: This hospital-based cohort study showed that obesity measured by BMI may predict good 6 months functional outcome, especially, for the ischemic stroke patients (Supported by Korea Centers for Disease Control and Prevention (2013E3301701)).
    Materialart: Online-Ressource
    ISSN: 0039-2499 , 1524-4628
    RVK:
    Sprache: Englisch
    Verlag: Ovid Technologies (Wolters Kluwer Health)
    Publikationsdatum: 2015
    ZDB Id: 1467823-8
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie hier...