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Brain disorders

Post-stroke Hyperglycemia in Non-diabetic Ischemic Stroke is Related With Worse Functional Outcome: A Cohort Study
Jin A Yoon, Yong-Il Shin, Deog Young Kim, Min Kyun Sohn, Jongmin Lee, Sam-Gyu Lee, Yang-Soo Lee, Eun Young Han, Min Cheol Joo, Gyung-Jae Oh, Minsu Park, Won Hyuk Chang, Yun-Hee Kim
Ann Rehabil Med 2021;45(5):359-367.   Published online October 31, 2021
DOI: https://doi.org/10.5535/arm.21124
Objective
To investigate long-term and serial functional outcomes in ischemic stroke patients without diabetes with post-stroke hyperglycemia.
Methods
The Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO) is a large, multi-center, prospective cohort study of stroke patients admitted to participating hospitals in nine areas of Korea. From KOSCO, ischemic stroke patients without diabetes were recruited and divided into two groups: patients without diabetes without (n=779) and with post-stroke hyperglycemia (n=223). Post-stroke hyperglycemia was defined as a glucose level >8 mmol/L. Functional assessments were performed 7 days and 3, 6, and 12 months after stroke onset.
Results
There were no significant differences in baseline characteristics between the groups, except in the age of onset and smoking. Analysis of the linear correlation between the initial National Institutes of Health Stroke Scale (NIHSS) score and glucose level showed no significant difference. Among our functional assessments, NIHSS, Fugl-Meyer Assessment (affected side), Functional Ambulatory Category, modified Rankin Scale, and Korean Mini-Mental State Examination (K-MMSE) showed statistically significant improvements in each group. All functional improvements except K-MMSE were significantly higher in patients without post-stroke hyperglycemia at 7 days and 3, 6, and 12 months.
Conclusion
The glucose level of ischemic stroke patients without diabetes had no significant correlation with the initial NIHSS score. The long-term effects of stress hyperglycemia showed worse functional outcomes in ischemic stroke patients without diabetes with post-stroke hyperglycemia.

Citations

Citations to this article as recorded by  
  • Impact of Stress‐Induced Hyperglycemia on In‐Hospital Medical Complications in Patients With Acute Stroke: From a Large‐Scale Nationwide Longitudinal Registry
    Xintong Song, Yi Ju, Hongqiu Gu, Zhikai Zhu, Zixiao Li, Qian Zhang, Xingquan Zhao
    Annals of Clinical and Translational Neurology.2026; 13(3): 466.     CrossRef
  • Stroke and associated comorbidities in Southeast Asian countries
    Aishika Datta, Soumya Akundi, Kaveri Wagh, Gangadhar Bhurle, Deepaneeta Sarmah, Arvind Sharma, Sudhir Shah, Anupom Borah, Shailendra Saraf, Pallab Bhattacharya
    Neuroprotection.2025; 3(1): 29.     CrossRef
  • Stroke in the Patient With Type 2 Diabetes
    Terri W. Jerkins, David S.H. Bell
    Endocrine Practice.2025; 31(4): 547.     CrossRef
  • Autonomic dysfunction after stroke: an overview of recent clinical evidence and perspectives on therapeutic management
    Anush Barkhudaryan, Wolfram Doehner, Nadja Jauert
    Clinical Autonomic Research.2025; 35(4): 553.     CrossRef
  • Stress Hyperglycemia as a Prognostic Indicator of the Clinical Outcomes in Patients with Stroke: A Comprehensive Literature Review
    Majed Mohammad Alabdali, Abdulrahim Saleh Alrasheed, Fatimah Ahmed Alghirash, Taif Mansour Almaqboul, Ali Alhashim, Danah Tareq Aljaafari, Mustafa Ahmed Alqarni
    Biomedicines.2025; 13(8): 1834.     CrossRef
  • Neuroprotective Effects of SELFormer‐Selected β‐Citronellol and β‐Caryophyllene in Vagotomized Ischemic Stroke Model Through Direct Brain Protection and Gut Microbiota Modulation
    Yu Yue, Chen Li, Ting Zhang, Sunmin Park
    BioFactors.2025;[Epub]     CrossRef
  • A comparative analysis of the cholesterol–high-density lipoprotein–glucose index and the triglyceride–glucose index in predicting in-hospital mortality in critically ill ischemic stroke patients
    Huang Luwen, Li Linlin, Yu Ming, Xu Lei
    Frontiers in Neurology.2025;[Epub]     CrossRef
  • Association of stroke with possible sarcopenic obesity and the modified effect from healthy lifestyle: a cross-sectional study based on CHARLS
    Jinhui Song, Danchan Lu, Li Zhang, Yong Wang, Yanfei Wu, Shuchang Zhong
    BMC Public Health.2025;[Epub]     CrossRef
  • High Glucose Aggravates Cerebral Ischemia/Reperfusion via Truncated NLRP3‐Mediated Hexokinase‐2 Translocation
    Hengchang Zhang, Ruoyi Guo, Xiang Li, Yang Zhang, Lujun Zhou, Junjie Wang, Yudi Huang, Zengqiang Yuan, Lijuan Song, Yajin Liao
    CNS Neuroscience & Therapeutics.2025;[Epub]     CrossRef
  • Serum Lipid Profiles as Predictors of Hemorrhagic Transformation After Thrombolysis in Acute Cerebral Infarction: A Prospective Study
    Dongxia Cheng, Huawen Fu, Ziqi Zhou, Xiaofeng Li
    Current Neurovascular Research.2025; 22(3): 215.     CrossRef
  • Stress hyperglycemia increases short-term mortality in acute ischemic stroke patients after mechanical thrombectomy
    Bing Yang, Xuefang Chen, Fangze Li, Junrun Zhang, Dawei Dong, Huiyue Ou, Longyan Lu, Niu He, Xiaohong Xu, Xiufeng Xin, Jingchong Lu, Min Guan, Hongyu Qiao, Anding Xu, Huili Zhu
    Diabetology & Metabolic Syndrome.2024;[Epub]     CrossRef
  • Implications of fasting plasma glucose variability on the risk of incident peripheral artery disease in a population without diabetes: a nationwide population-based cohort study
    Hye Soo Chung, Soon Young Hwang, Jung A. Kim, Eun Roh, Hye Jin Yoo, Sei Hyun Baik, Nan Hee Kim, Ji A. Seo, Sin Gon Kim, Nam Hoon Kim, Kyung Mook Choi
    Cardiovascular Diabetology.2022;[Epub]     CrossRef
  • The Role of Nondiabetic Hyperglycemia in Critically Ill Patients with Acute Ischemic Stroke
    Hung-Sheng Shih, Wei-Sheng Wang, Li-Yu Yang, Shu-Hao Chang, Po-Huang Chen, Hong-Jie Jhou
    Journal of Clinical Medicine.2022; 11(17): 5116.     CrossRef
  • A Path to Precision Medicine: Incorporating Blood-Based Biomarkers in Stroke Rehabilitation
    Byung-Mo Oh
    Annals of Rehabilitation Medicine.2021; 45(5): 341.     CrossRef
  • 10,242 View
  • 201 Download
  • 14 Web of Science
  • 14 Crossref
Polymorphism of Nitric Oxide Synthase 1 Affects the Clinical Phenotypes of Ischemic Stroke in Korean Population
Seung Don Yoo, Jun Sang Park, Dong Hwan Yun, Hee-Sang Kim, Su Kang Kim, Dong Hwan Kim, Jinmann Chon, Goun Je, Yoon-Seong Kim, Joo-Ho Chung, Seung Joon Chung, Jin Ah Yeo
Ann Rehabil Med 2016;40(1):102-110.   Published online February 26, 2016
DOI: https://doi.org/10.5535/arm.2016.40.1.102
Objective

To investigate whether four single nucleotide polymorphisms (SNPs) rs2293054 [Ile734Ile], rs1047735 [His902His], rs2293044 [Val1353Val], rs2682826 (3'UTR) of nitric oxide synthase 1 (NOS1) are associated with the development and clinical phenotypes of ischemic stroke.

Methods

We enrolled 120 ischemic stroke patients and 314 control subjects. Ischemic stroke patients were divided into subgroups according to the scores of the National Institutes of Health Stroke Survey (NIHSS, <6 and ≥6) and Modified Barthel Index (MBI, <60 and ≥60). SNPStats, SNPAnalyzer, and HelixTree programs were used to calculate odds ratios (ORs), 95% confidence intervals (CIs), and p-values. Multiple logistic regression models were performed to analyze genetic data.

Results

No SNPs of the NOS1 gene were found to be associated with ischemic stroke. However, in an analysis of clinical phenotypes, we found that rs2293054 was associated with the NIHSS scores of ischemic stroke patients in codominant (p=0.019), dominant (p=0.007), overdominant (p=0.033), and log-additive (p=0.0048) models. Also, rs2682826 revealed a significant association in the recessive model (p=0.034). In allele frequency analysis, we also found that the T alleles of rs2293054 were associated with lower NIHSS scores (p=0.007). Respectively, rs2293054 had a significant association in the MBI scores of ischemic stroke in codominant (p=0.038), dominant (p=0.031), overdominant (p=0.045), and log-additive (p=0.04) models.

Conclusion

These results suggest that NOS1 may be related to the clinical phenotypes of ischemic stroke in Korean population.

Citations

Citations to this article as recorded by  
  • Genetic Polymorphisms in Oxidative Stress and Inflammatory Pathways as Potential Biomarkers in Alzheimer’s Disease and Dementia
    David Vogrinc, Milica Gregorič Kramberger, Andreja Emeršič, Saša Čučnik, Katja Goričar, Vita Dolžan
    Antioxidants.2023; 12(2): 316.     CrossRef
  • The rs2682826 Polymorphism of the NOS1 Gene Is Associated with the Degree of Disability of Erectile Dysfunction
    Leticia Perticarrara Ferezin, Cezar Kayzuka, Vitória Carolina Rondon Pereira, Murilo Ferreira de Andrade, Carlos Augusto Fernandes Molina, Silvio Tucci, Jose Eduardo Tanus-Santos, Riccardo Lacchini
    Life.2023; 13(5): 1082.     CrossRef
  • Association between GABRG2 Gene Single Nucleotide Polymorphisms and Susceptibility to Ischemic Stroke in a Chinese Population
    Mingming Ma, Jing Zhao, Dandan Xie, Juan Chen
    Journal of Integrative Neuroscience.2023;[Epub]     CrossRef
  • Gene polymorphisms in calcium-calmodulin pathway: Focus on cardiovascular disease
    Sofia Beghi, Francesca Cavaliere, Annamaria Buschini
    Mutation Research - Reviews in Mutation Research.2020; 786: 108325.     CrossRef
  • Association of NOS1 gene polymorphisms with cerebral palsy in a Han Chinese population: a case-control study
    Ting Yu, Lei Xia, Dan Bi, Yangong Wang, Qing Shang, Dengna Zhu, Juan Song, Yong Wang, Xiaoyang Wang, Changlian Zhu, Qinghe Xing
    BMC Medical Genomics.2018;[Epub]     CrossRef
  • Analysis between nitric oxide synthase 1 (NOS1) and risk of obesity
    Hyun Kyung Park, Su Kang Kim, Oh Young Kwon, Joo-Ho Chung, Seong-Kyu Lee
    Molecular & Cellular Toxicology.2016; 12(2): 217.     CrossRef
  • 6,360 View
  • 46 Download
  • 6 Web of Science
  • 6 Crossref
Family History and Functional Outcome in Korean Stroke Patients: A Preliminary Study
Hee Jung Park, Tae Uk Kim, Jung Keun Hyun, Jung Yoon Kim
Ann Rehabil Med 2015;39(6):980-985.   Published online December 29, 2015
DOI: https://doi.org/10.5535/arm.2015.39.6.980
Objective

To investigate the association of family history of stroke with functional outcomes in stroke patients in Korea.

Methods

A case-control study was conducted. A total of 170 patients who were admitted to a rehabilitation unit were included. Risk factors for stroke such as age, sex, diabetes mellitus, hypertension, atrial fibrillation, smoking, high blood cholesterol and homocysteine level, obesity, and family history of stroke were taken into account. Stroke subtypes were the following: large vessel infarct, small vessel infarct, embolic infarct, subarachnoid hemorrhage, and intracranial hemorrhage. Stroke severity as assessed with the National Institutes of Health Stroke Scale (NIHSS), functional outcomes using the Korean version of the Modified Barthel index (K-MBI), Functional Independence Measurement (FIM), and cognitive function using the Korean version of Mini-Mental State Examination (K-MMSE) were assessed at admission and discharge.

Results

Subjects with a family history of stroke were more likely to have an ischemic stroke (90.7%) than were those without a family history (70.9%). The K-MBI, FIM, NIHSS, and K-MMSE scores did not show significant differences between patients with or without family history.

Conclusion

Family history of stroke was significantly associated with ischemic stroke, but not with functional outcomes. Other prognostic factors of stroke were not distributed differently between patients included in this study with or without a family history of stroke.

Citations

Citations to this article as recorded by  
  • Family History is Related to High Risk of Recurrent Events after Ischemic Stroke or Transient Ischemic Attack
    Xing Zhang, Si Cheng, Hongqiu Gu, Yingyu Jiang, Hao Li, Zixiao Li, Xia Meng, Yongjun Wang
    Journal of Stroke and Cerebrovascular Diseases.2022; 31(1): 106151.     CrossRef
  • The impact of physical function on participation in the first year post-stroke
    K. Törnbom, H. C. Persson, J. Lundälv, K. S. Sunnerhagen
    Acta Neurologica Scandinavica.2017; 135(6): 649.     CrossRef
  • 11,839 View
  • 44 Download
  • 6 Web of Science
  • 2 Crossref
Predictors of Recovery of Functional Swallow After Gastrostomy Tube Placement for Dysphagia in Stroke Patients After Inpatient Rehabilitation: A Pilot Study
Diana Crisan, Amir Shaban, Amelia Boehme, Perry Dubin, Jenifer Juengling, Laurie A. Schluter, Karen C. Albright, T. Mark Beasley, Sheryl Martin-Schild
Ann Rehabil Med 2014;38(4):467-475.   Published online August 28, 2014
DOI: https://doi.org/10.5535/arm.2014.38.4.467
Objective

To determine predictors of early recovery of functional swallow in patients who had gastrostomy (percutaneous endoscopic gastrostomy [PEG]) placement for dysphagia and were discharged to inpatient rehabilitation (IPR) after stroke.

Methods

A retrospective study of prospectively identified patients with acute ischemic and hemorrhagic stroke from July 2008 to August 2012 was conducted. Patients who had PEG during stroke admission and were discharged to IPR, were studied. We compared demographics, stroke characteristics, severity of dysphagia, stroke admission events and medications in patients who remained PEG-dependent after IPR with those who recovered functional swallow.

Results

Patients who remained PEG dependent were significantly older (73 vs. 54 years, p=0.009). Recovery of swallow was more frequent for hemorrhagic stroke patients (80% vs. 47%, p=0.079). Age, adjusting for side of stroke (odds ratio [OR], 0.89; 95% confidence interval [CI], 0.82-0.98; p=0.016) and left-sided strokes, adjusting for age (OR, 15.15; 95% CI, 1.32-173.34; p=0.028) were significant predictors of swallow recovery. Patients who recovered swallowing by discharge from IPR were more likely to be discharged home compared to those who remained PEG-dependent (90% vs. 42%, p=0.009).

Conclusion

Younger age and left-sided stroke may be predictive factors of early recovery of functional swallow in patients who received PEG. Prospective validation is important as avoidance of unnecessary procedures could reduce morbidity and healthcare costs.

Citations

Citations to this article as recorded by  
  • External validation of the predictive swallow score for dysphagia in stroke patients
    Salman Ikramuddin, Martin Weiss, Abhigyan Datta, Sophia Yang, Dylan Ryan, Christine Park, Sandeep Kumar, Annette Xenopoulos-Oddsson, Erjia Cui, Margy McCullough-Hicks, Wuwei Feng
    Journal of Stroke and Cerebrovascular Diseases.2026; 35(4): 108585.     CrossRef
  • Intensified post-stroke care improves long-term dysphagia recovery after acute ischemic stroke: Results from the STROKE CARD trial
    Anel Karisik, Vincent Bader, Kurt Moelgg, Lucie Buergi, Benjamin Dejakum, Silvia Komarek, Christian Boehme, Thomas Toell, Lukas Mayer-Suess, Simon Sollereder, Sonja Rossi, Patricia Meier, Gudrun Schoenherr, Johann Willeit, Peter Willeit, Wilfried Lang, St
    European Stroke Journal.2025; 10(2): 568.     CrossRef
  • Predictors of recovery from dysphagia after stroke: A systematic review and meta-analysis
    Xiaoyan Jin, Shaomei Shang, HoiYee Tong, Ming Liu, Dan Li, Ying Xiao
    International Journal of Nursing Sciences.2025; 12(2): 184.     CrossRef
  • Association between temporalis and masseter muscle thickness and dysphagia in patients with spontaneous intracerebral hemorrhage
    Ya-Chu Hsu, Ting-Ju Lai, You-Lin Lu, Hsing-Yu Chen, Hsiao-Ting Tsai, Tyng-Guey Wang, Shu-Mei Yang, Meng-Ting Lin
    Journal of Clinical Neuroscience.2025; 141: 111598.     CrossRef
  • Anatomical predictors of gastrostomy tube placement after large vessel occlusion ischemic stroke
    Margy McCullough-Hicks, Salman Ikramuddin, Soren Christensen, Michael Mlynash, Gregory Albers
    Frontiers in Neurology.2025;[Epub]     CrossRef
  • Prognostic Value of Dysphagia for Activities of Daily Living Performance and Cognitive Level after Stroke
    Takenori Hamada, Yoshihiro Yoshimura, Fumihiko Nagano, Ayaka Matsumoto, Sayuri Shimazu, Ai Shiraishi, Takahiro Bise, Yoshifumi Kido
    Progress in Rehabilitation Medicine.2024; 9: n/a.     CrossRef
  • Pre-Stroke Frailty and Outcomes following Percutaneous Endoscopic Gastrostomy Tube Insertion
    Karan Gupta, Eleanor Williams, Elizabeth A. Warburton, Nicholas Richard Evans
    Healthcare.2024; 12(16): 1557.     CrossRef
  • Clinical Predictors of Dysphagia Recovery After Stroke: A Systematic Review
    Pamela D’Netto, Anna Rumbach, Katrina Dunn, Emma Finch
    Dysphagia.2023; 38(1): 1.     CrossRef
  • Predictors of complete oral feeding resumption after feeding tube placement in patients with stroke and dysphagia: A systematic review
    Yijing Li, Zhihua Xu, Xu Zhang, Dongfei Ma, Xiangfei Meng, Mengting Zhang, Jiao Sun
    Journal of Clinical Nursing.2023; 32(11-12): 2533.     CrossRef
  • Can non-swallowing function assessment predict nasogastric tube removal in patients with poststroke dysphagia? A clinical study
    Bingjie Li, Tong Zhang, Jun Zhao, Pengkun Li, Zhangwei Wu, Shengjie Zhao
    Frontiers in Neurology.2023;[Epub]     CrossRef
  • Factors Contributing to Complete Oral Intake in Dysphagic Stroke Patients with Enteral Feeding Tubes in Convalescent Rehabilitation Wards
    Yasunori Ikenaga, Masami Fudeya, Tadayuki Kusunoki, Hiromi Yamaguchi
    Progress in Rehabilitation Medicine.2023; 8: n/a.     CrossRef
  • Nomogram for predicting swallowing recovery in patients after dysphagic stroke
    Zhuo Wang, Yixin Shi, Lulu Zhang, Lingling Wu, Qi Fang, Li Huiling
    Journal of Parenteral and Enteral Nutrition.2022; 46(2): 433.     CrossRef
  • Predictive Factors for Oral Intake Recovery After Acute Stroke: Analysis of a Japanese Nationwide Inpatient Database
    Yasuhiro Inooka, Hayato Yamana, Yusuke Shinoda, Haruhi Inokuchi, Hiroki Matsui, Kiyohide Fushimi, Hideo Yasunaga, Nobuhiko Haga
    Dysphagia.2022; 37(6): 1623.     CrossRef
  • Predicting the Prognosis of Convalescent Dysphagia in Patients with Cerebrovascular Disorders: a Prospective Cohort Study
    Daisuke Matsuyama, Toshikazu Horiuchi, Yoshifumi Satoh, Shigeki Hashimoto, Kazutoshi Yokogushi
    SN Comprehensive Clinical Medicine.2021; 3(2): 538.     CrossRef
  • Predictors and associating factors of nasogastric tube removal: Clinical and brain imaging data analysis in post-stroke dysphagia
    Hsueh-Wen Hsueh, Yi-Ching Chen, Chi-Fen Chang, Tyng-Guey Wang, Ming-Jang Chiu
    Journal of the Formosan Medical Association.2020; 119(12): 1862.     CrossRef
  • Effect of dysphagia rehabilitation in patients receiving enteral nutrition at home nursing care: A retrospective cohort study
    Hiroyasu Furuya, Takeshi Kikutani, Kumi Igarashi, Keiichiro Sagawa, Yuri Yajima, Reiko Machida, Takashi Tohara, Noriaki Takahashi, Fumiyo Tamura
    Journal of Oral Rehabilitation.2020; 47(8): 977.     CrossRef
  • Swallowing Outcomes and Discharge Destinations in Acute Stroke Tube-Feeding Dependent Dysphagia Patients Treated With Neuromuscular Electrical Stimulation During Inpatient Rehabilitation
    David S. Kushner, Doug Johnson-Greene, Maite K. Cordero, Stacy A. Thomashaw, Jennifer Rodriguez
    American Journal of Physical Medicine & Rehabilitation.2020; 99(6): 487.     CrossRef
  • Predictors of Oral Feeding Resumption after Stroke in a Rehabilitation Hospital: A Retrospective Study
    Irene Calvo, Nicole Pizzorni, Giulia Gilardone, Flavia Mayer, Nicola Vanacore, Valentina Buraschi, Marco Gilardone, Massimo Corbo
    Journal of Stroke and Cerebrovascular Diseases.2019; 28(7): 1958.     CrossRef
  • The relevance of the early terms of the formation of percutaneous endoscopic gastrostomy after a stroke complicated by severe neurogenic oropharyngeal dysphagia (review of the literature)
    K. V. Golubev, E. E. Topuzov, V. V. Oleynik, S. V. Gorchakov
    Grekov's Bulletin of Surgery.2019; 178(3): 64.     CrossRef
  • Improving the Accuracy of Scores to Predict Gastrostomy after Intracerebral Hemorrhage with Machine Learning
    Ravi Garg, Shyam Prabhakaran, Jane L. Holl, Yuan Luo, Roland Faigle, Konrad Kording, Andrew M. Naidech
    Journal of Stroke and Cerebrovascular Diseases.2018; 27(12): 3570.     CrossRef
  • Effects of Fluoxetine on Poststroke Dysphagia: A Clinical Retrospective Study
    Jianting Huang, Xuanwei Liu, Xun Luo, Chunzhi Tang, Mingzhu Xu, Lisa Wood, Yulong Wang, Qing Mei Wang
    Journal of Stroke and Cerebrovascular Diseases.2018; 27(11): 3320.     CrossRef
  • Factors Predicting Recovery of Oral Intake in Stroke Survivors with Dysphagia in a Convalescent Rehabilitation Ward
    Yasunori Ikenaga, Sayaka Nakayama, Hiroki Taniguchi, Isao Ohori, Nahoko Komatsu, Hitoshi Nishimura, Yasuo Katsuki
    Journal of Stroke and Cerebrovascular Diseases.2017; 26(5): 1013.     CrossRef
  • Age, Body Mass Index, and White Blood Cell Count Predict the Resumption of Oral Intake in Subacute Stroke Patients
    Akie Nakadate, Yohei Otaka, Kunitsugu Kondo, Ruka Yamamoto, Daisuke Matsuura, Kaoru Honaga, Kaori Muraoka, Kazuto Akaboshi, Meigen Liu
    Journal of Stroke and Cerebrovascular Diseases.2016; 25(12): 2801.     CrossRef
  • Outcome of Rehabilitation and Swallowing Therapy after Percutaneous Endoscopic Gastrostomy in Dysphagia Patients
    Ezekiel Wong Toh Yoon, Jun Hirao, Naoko Minoda
    Dysphagia.2016; 31(6): 730.     CrossRef
  • Enteral tube feeding for dysphagic stroke patients
    Anne Rowat
    British Journal of Nursing.2015; 24(3): 138.     CrossRef
  • 8,839 View
  • 74 Download
  • 28 Web of Science
  • 25 Crossref
Relationship between Cognitive-perceptual Function and Functional Independence in Patients with Ischemic Stroke.
Choi, Ha Young , Park, Sung Min , Park, Sung Jun , Chung, Kyung Hoon , Lee, Yong Taek , Lee, Peter K W , Kim, Yun Hee
J Korean Acad Rehabil Med 2007;31(6):630-635.
Objective
To determine the relationship between cognitive-perceptual function and functional independence in stroke patients. Method: Thirty-three patients (16 male, 17 female) with first ever ischemic stroke were enrolled. Their mean age was 60.4 years and the mean post-onset duration was 8.1 months. Subjects underwent detailed cognitive assessment including digit span test, line bisection test, Albert test, Wechsler nonverbal memory scale, Korean Hopkins verbal learning Test, Rey complex figure test, and trail making test A. Their functional outcomes were assessed using Functional Independence Measure (FIM) and Modified Barthel Index (MBI). Results: Among the cognitive subtests, Wechsler nonverbal memory scale, Albert test, and Rey complex figure test scores had significant correlation with both FIM and MBI scores. Patients with right hemispheric stroke showed significantly lower scores in line bisection test and Rey complex figure test than those with left hemispheric stroke patients. Conclusion: Visuospatial perception and nonverbal memory functions seemed to be two most important cognitive- perceptual domains for functional recovery of stroke patients. (J Korean Acad Rehab Med 2007; 31: 630-635)
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Risk Factors of Orthostatic Hypotension in the Ischemic Stroke Patients.
Jeong, Ho Joong , Kim, Ghi Chan , Eom, Moon Sub , Hong, Jin Young
J Korean Acad Rehabil Med 2007;31(3):305-309.
Objective
To determine risk factors of orthostatic hypotension in ischemic stroke patients. Method: In 98 ischemic stroke patients, blood pressure and heart rate were measured after resting in the supine position for 10 minutes and again after standing for one minute. Presence of orthostatic hypotension was correlated with age, gender, body mass index, laboratory findings, diabetes mellitus, anti-hypertensive use, side of involved hemisphere, smoking and K-MBI (Korean Modified Barthel Index). Results: 30 out of 98 patients had orthostatic hypotension. Those patients with orthostatic hypotension were older in age and had a higher average blood pressure, heart rate and plasma creatinine. On the other hand, body mass index, K-MBI and serum sodium levels were lower in the orthostatic hypotension group. Multivariate analysis revealed that age, body mass index, anti-hypertensive use and smoking were independently associated with orthostatic hypotension. Conclusion: Old age, low BMI, anti-hypertensive use, smoking were risk factors of orthostatic hypotension in the ischemic stroke patients. Patients in the higher risk categories should receive regular monitoring of blood pressure in order to detect orthostatic hypotension and prevent its complications. (J Korean Acad Rehab Med 2007; 31: 305-309)
  • 2,349 View
  • 15 Download
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