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Chen J, Zhang J, Xiang J, Yu J, Qiu F. Impact of intelligent convolutional neural network -based algorithms on head computed tomography evaluation and comprehensive rehabilitation acupuncture therapy for patients with cerebral infarction. J Neurosci Methods 2024; 409:110185. [PMID: 38851543 DOI: 10.1016/j.jneumeth.2024.110185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 05/20/2024] [Accepted: 06/02/2024] [Indexed: 06/10/2024]
Abstract
This work was to evaluate the impacts of comprehensive rehabilitation acupuncture therapy on the recovery of neurological function in cerebral infarction (CI) patients and to utilize convolutional neural network (CNN) intelligent algorithms to optimize head computed tomography (CT) images and improve lesion localization accuracy. 98 CI patients were divided into a control group (Ctrl group) and an experimental group (Exp group), with 48 patients in each group. The patients in the Ctrl group received CT evaluation combined with comprehensive rehabilitation acupuncture therapy. While, those in the Exp group received CT evaluation with the use of CNN algorithms for optimization, along with comprehensive rehabilitation acupuncture therapy. Acupuncture therapy included selecting acupoints on the patient's head, selecting two horizontal needling needles from top to bottom at the acupoints on the front side of the lesion, and then horizontal needling along the top midline. The differences in treatment outcomes were compared between the two groups based on Fugl-Meyer upper limb assessment (FMA) scores, Barthel Index (BI) scores, National Institutes of Health Stroke Scale (NIHSS4) scores, Modified Edinburgh-Scandinavian Stroke Scale (MESSS) scores, and hemodynamics. Simultaneously, the CT images were optimized using CNN intelligent algorithms to improve image quality and lesion localization accuracy. The results showed that the CI CT images processed by the CNN-based intelligent algorithm showed significant improvements in clarity and contrast compared to conventional CT images. The CNN-based intelligent algorithm demonstrated higher sensitivity (97.5 %, 93.8 %), higher PSNR (30.14 dB, 24.72 dB), and lower missed detection rate (0.52 %, 1.88 %) in detecting CI lesions. The total effective rate in the Exp group was 95.83 %, which was significantly higher than the 85.42 % in the Ctrl group (P < 0.05). The Exp group showed significantly higher levels in FMA and BI scores (P < 0.05). After treatment, the NIHSS4 and MESSS scores in the Exp group were lower than those in the Ctrl group (P < 0.05). Additionally, post-treatment, the plasma concentrations and whole-blood viscosity (low shear and high shear) in the Exp group were lower than those in the Ctrl group, and the plasma concentration and whole-blood viscosity (high shear) were also lower than those in the Ctrl group (P < 0.05). In conclusion, comprehensive rehabilitation acupuncture therapy had a positive impact on the recovery of neurological function in CI patients. By applying CNN-based intelligent algorithms to optimize head CT images, lesion localization accuracy can be improved, thereby guiding rehabilitation treatment more effectively.
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Affiliation(s)
- Jianlin Chen
- Department of Rehabilitation Medicine, Zhejiang Jinhua Guangfu Cancer Hospital, Jinhua, Zhejiang 321000, China
| | - Jinfeng Zhang
- Department of Rehabilitation Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310000, China
| | - Jingjing Xiang
- Department of Geriatrics, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310000, China
| | - Jie Yu
- Department of Rehabilitation Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310000, China
| | - Fanghui Qiu
- Department of Rehabilitation Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310000, China.
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Sakamoto D, Hamaguchi T, Nakayama Y, Hada T, Abo M. Upper-Limb Functional Recovery in Chronic Stroke Patients after COVID-19-Interrupted Rehabilitation: An Observational Study. J Clin Med 2024; 13:2212. [PMID: 38673485 PMCID: PMC11050468 DOI: 10.3390/jcm13082212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/03/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
Background/Objectives: Upper-limb function of chronic stroke patients declined when outpatient rehabilitation was interrupted and outings restricted, owing to the novel coronavirus infection (COVID-19) pandemic. We investigated whether these patients recovered upper-limb function post-resumption of outpatient rehabilitation. Methods: In this observational study, 43 chronic stroke hemiparesis patients with impaired upper extremity function were scored for limb function via the Fugl-Meyer assessment of the upper extremity (FMA-UE) and the Action Research Arm Test (ARAT) after a structured interview, evaluation, and intervention. Scores at 6 and 3 months pre- and 3 months post-rehabilitation interruption were examined retrospectively; scores immediately and at 3 and 6 months post-resumption of care were examined prospectively. The amount of change for each time period and an analysis of covariance were performed with time as a factor, changes in the FMA-UE and the ARAT scores as dependent variables, and statistical significance at 5%. Results: The time of evaluation significantly impacted the total score, as well as part C and part D of FMA-UE and total, pinch, and gross movement of the ARAT. Post-hoc tests showed that the magnitude of change in limb-function scores from immediately to 3 months post-resumption was significantly higher than the change from 3 months pre- to immediately post-interruption for the total score and part D of the FMA-UE, as well as grip and gross movement of the ARAT (p < 0.05). Conclusions: Upper-limb functional decline in chronic stroke patients, caused by the COVID-19 pandemic-related therapy interruption and outing restrictions, was resolved approximately 3 months post-resumption of rehabilitation therapy. Our data can serve as reference standards for planning and evaluating treatment for chronic stroke patients with inactivity-related impaired upper-limb function.
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Affiliation(s)
- Daigo Sakamoto
- Department of Rehabilitation Medicine, The Jikei University School of Medicine Hospital, Tokyo 105-8471, Japan;
- Department of Rehabilitation, Graduate School of Health Science, Saitama Prefectural University, Saitama 343-8540, Japan
| | - Toyohiro Hamaguchi
- Department of Rehabilitation, Graduate School of Health Science, Saitama Prefectural University, Saitama 343-8540, Japan
| | - Yasuhide Nakayama
- Department of Rehabilitation Medicine, The Jikei University School of Medicine, Tokyo 105-8461, Japan; (Y.N.); (T.H.)
| | - Takuya Hada
- Department of Rehabilitation Medicine, The Jikei University School of Medicine, Tokyo 105-8461, Japan; (Y.N.); (T.H.)
| | - Masahiro Abo
- Department of Rehabilitation Medicine, The Jikei University School of Medicine, Tokyo 105-8461, Japan; (Y.N.); (T.H.)
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Cheon S, Li CY, Jeng JS, Wang JD, Ku LJE. Dynamic changes and lifetime effect of functional disability profiles for stroke patients: real-world evidence from South Korea. Qual Life Res 2024; 33:991-1001. [PMID: 38285281 DOI: 10.1007/s11136-023-03579-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/04/2023] [Indexed: 01/30/2024]
Abstract
PURPOSE This work aimed to investigate the long-term dynamic changes of functional disabilities and estimate lifetime outcomes of different functional disabilities after a stroke, using real-world data from a nationally representative South Korean cohort. METHODS Patients aged 18 and above with ischemic and hemorrhagic strokes were identified from the Korea Health Panel (KHP) data (2008-2018). Functional disabilities were repeatedly measured for patients aged 55 and over for the prevalence of disabilities associated with activities of daily living (ADL), and kernel smoothing means were estimated for each item. The lifetime survival function of stroke patients in Korea was adopted from another study utilizing the National Health Insurance Service of Korea's national sample cohort. By multiplying the disability-free proportion with the survival function throughout life, disability-free life expectancy (DFLE) for each ADL item was estimated. The loss-of-DFLE was calculated by subtracting the DFLE from age-, sex-, and calendar year-matched referents simulated from Korean life tables. RESULTS The KHP dataset included 466 stroke patients. The overall functional disability needs increased over time after stroke diagnosis. DFLE was lowest for bathing (10.1 years for ischemic stroke and 12.8 years for hemorrhagic stroke), followed by those for dressing and washing. Loss-of-DFLE was highest for bathing for ischemic and hemorrhagic strokes (7.2 and 10.7 years, respectively), indicating that this task required the most assistance for stroke patients compared with the other tasks. DFLEs were slightly lower than the quality-adjusted life expectancy of stroke patients. CONCLUSION Our findings provide valuable insights for resource allocation and policy decisions in long-term stroke care, potentially enhancing the quality of life for stroke survivors and caregivers.
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Affiliation(s)
- Soyeon Cheon
- Department of Public Health, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 70101, Taiwan
| | - Chung-Yi Li
- Department of Public Health, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 70101, Taiwan
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan
- Department of Healthcare Administration, College of Medical and Health Science, Asia University, Taichung, Taiwan
| | - Jiann-Shing Jeng
- Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan
| | - Jung-Der Wang
- Department of Public Health, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 70101, Taiwan
| | - Li-Jung Elizabeth Ku
- Department of Public Health, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 70101, Taiwan.
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Li WW, Li M, Guo XJ, Liu FD. Application of a hospital–community–family trinity rehabilitation nursing model combined with motor imagery therapy in patients with cerebral infarction. World J Clin Cases 2023; 11:621-628. [PMID: 36793630 PMCID: PMC9923868 DOI: 10.12998/wjcc.v11.i3.621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 12/17/2022] [Accepted: 12/23/2022] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Rehabilitation nursing is considered an indispensable part of the cerebral infarction treatment system. The hospital–community–family trinity rehabilitation nursing model can provide continuous nursing services across hospitals, communities, and families for patients.
AIM To explore the application of a hospital–community–family rehabilitation nursing model combined with motor imagery therapy in patients with cerebral infarction.
METHODS From January 2021 to December 2021, 88 patients with cerebral infarction were divided into a study (n = 44) and a control (n = 44) group using a simple random number table. The control group received routine nursing and motor imagery therapy. The study group was given hospital–community–family trinity rehabilitation nursing based on the control group. Motor function (FMA), balance ability (BBS), activities of daily living (BI), quality of life (SS-QOL), activation status of the contralateral primary sensorimotor cortical area to the affected side, and nursing satisfaction were evaluated before and after intervention in both groups.
RESULTS Before intervention, FMA and BBS were similar (P > 0.05). After 6 months’ intervention, FMA and BBS were significantly higher in the study than in the control group (both P < 0.05). Before intervention, BI and SS-QOL scores were not different between the study and control group (P > 0.05). However, after 6 months’ intervention, BI and SS-QOL were higher in the study than in the control group (P < 0.05). Before intervention, activation frequency and volume were similar between the study and the control group (P > 0.05). After 6 months’ intervention, the activation frequency and volume were higher in the study than in the control group (P < 0.05). The reliability, empathy, reactivity, assurance, and tangibles scores for quality of nursing service were higher in the study than in the control group (P < 0.05).
CONCLUSION Combining a hospital–community–family trinity rehabilitation nursing model and motor imagery therapy enhances the motor function and balance ability of patients with cerebral infarction, improving their quality of life.
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Affiliation(s)
- Wen-Wen Li
- Department of Neurology, The First Affilated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi Province, China
| | - Min Li
- Department of Neurology, The First Affilated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi Province, China
| | - Xiao-Juan Guo
- Department of Neurology, The First Affilated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi Province, China
| | - Fu-De Liu
- Department of Neurology, The First Affilated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi Province, China
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Shin S, Lee Y, Chang WH, Sohn MK, Lee J, Kim DY, Shin YI, Oh GJ, Lee YS, Joo MC, Lee SY, Song MK, Han J, Ahn J, Kim YH. Multifaceted Assessment of Functional Outcomes in Survivors of First-time Stroke. JAMA Netw Open 2022; 5:e2233094. [PMID: 36149652 PMCID: PMC9508656 DOI: 10.1001/jamanetworkopen.2022.33094] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
IMPORTANCE Because stroke causes diverse functional deficits, understanding the long-term recovery pattern of each functional domain may inform prognosis and therapeutic strategies. OBJECTIVE To observe long-term changes in functional status and residual disability in survivors of first-time stroke. DESIGN, SETTING, AND PARTICIPANTS This cohort study was an interim analysis of the Korean Stroke Cohort for Functioning and Rehabilitation. Between August 2012 and May 2015, 7858 of 10 636 screened patients with first-time strokes from 9 district hospitals in Korea provided informed consent to participate. Data were analyzed from September 2021 through February 2022. EXPOSURE First-time stroke. MAIN OUTCOMES AND MEASURES Study data include multifaceted face-to-face functional assessments obtained at 8 to 9 points until 60 months after stroke onset. The Korean Mini-Mental State Examination (K-MMSE), Fugl-Meyer Assessment, Functional Ambulatory Category, American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale, and Short Korean version of the Frenchay Aphasia Screening Test were performed from 7 days to 60 months after stroke. The Korean Modified Barthel Index was measured from 3 months to 60 months after stroke. RESULTS A total of 4443 patients (2649 men [59.62%]; mean [SD] age 62.13 [12.43] years) who underwent repeated functional assessments for 60 months after stroke (3508 patients with ischemic and 935 patients with hemorrhagic stroke) were included. Overall, functions plateaued between 12 and 18 months after stroke and declined after 30 months; for example, mean (SD) K-MMSE improved from 7 days (22.89 [7.89]) to 12 months (26.03 [5.48]) (P < .001), plateaued until 36 months (26.03 [5.84]), and decreased to 48 months (26.02 [5.82]) (P < .001). Interaction associations were found between time after stroke and age, stroke severity, and stroke type in functional assessment outcomes. For example, mean (SE) FMA for ages 65 years or younger vs older than 65 years was 81.64 (0.63) vs 80.69 (0.68) at 7 days and 91.28 (0.47) vs 88.46 (0.58) at 6 months (P for interaction < .001), and for IS vs HS, it was 84.46 (0.47) vs 69.02 (1.24) at 7 days and 91.20 (0.38) vs 85.51 (0.98) at 6 months (P for interaction < .001). Mean (SE) FMA was 94.39 (0.21) at 7 days and 97.57 (0.14) at 6 months for mild stroke, 44.69 (1.18) at 7 days and 70.43 (1.21) at 6 months for moderate stroke, and 13.22 (0.99) at 7 days and 48.07 (2.62) at 6 months for severe stroke (P for interaction < .001). Factors associated with activities of daily living independence at 60 months included older age (β per 1-year increase = -0.35; standard error [SE], 0.03; P < .001), male sex (β = 2.12; SE, 0.73; P = .004), and hemorrhagic stroke type (β vs ischemic stroke = 2.35; SE, 0.81; P = .004). CONCLUSIONS AND RELEVANCE This study found that long-term recovery patterns in multifaceted functional domains differed from one another and varied by patient age, stroke severity, and stroke type. Understanding the diversity of long-term functional recovery patterns and factors associated with these outcomes in survivors of stroke may help clinicians develop strategies for effective stroke care and rehabilitation.
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Affiliation(s)
- Seyoung Shin
- Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yaesuel Lee
- Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Won Hyuk Chang
- Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Min Kyun Sohn
- Department of Rehabilitation Medicine, College of Medicine, Chungnam National University, Daejeon, Republic of Korea
| | - Jongmin Lee
- Department of Rehabilitation Medicine, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Deog Young Kim
- Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yong-Il Shin
- Department of Rehabilitation Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
| | - Gyung-Jae Oh
- Department of Preventive Medicine, Wonkwang University, School of Medicine, Iksan, Republic of Korea
| | - Yang-Soo Lee
- Department of Rehabilitation Medicine, Kyungpook National University School of Medicine, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - Min Cheol Joo
- Department of Rehabilitation Medicine, Wonkwang University School of Medicine, Iksan, Republic of Korea
| | - So Young Lee
- Department of Rehabilitation Medicine, Jeju National University Hospital, Jeju National University School of Medicine, Jeju City, Republic of Korea
| | - Min-Keun Song
- Department of Physical and Rehabilitation Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Junhee Han
- Department of Statistics, Hallym University, Chuncheon, Republic of Korea
| | - Jeonghoon Ahn
- Department of Health Convergence, Ewha Womans University, Seoul, Republic of Korea
| | - Yun-Hee Kim
- Department of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Health Science and Technology, Department of Medical Devices Management and Research, Department of Digital Healthcare, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
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