Effects of Age on Long-Term Functional Recovery in Patients with Stroke.

Background and objectives: Age might be a determinant that limits functional recovery in patients with stroke. Here, we investigated the effect of age on functional recovery within 30 months after stroke onset. Materials and Methods: This retrospective longitudinal study enrolled 111 patients with first-ever stroke. Functional recovery was assessed at 2 weeks and at 1, 6, and 30 months after stroke onset using the modified Barthel Index (MBI), modified Rankin Score (mRS), functional ambulation category (FAC), muscle strength, and Mini-Mental State Examination (MMSE). A generalized estimating equation analysis was performed. Results: With the MBI, function improved until 6 months after stroke onset in patients aged <70 years and until 1 month after stroke onset in patients ≥70 years. At 30 months after stroke, there was no significant change of MBI in patients aged <70 years, whereas there was a significant decline in older patients. With the mRS and FAC, function improved until 30 months after stroke onset in patients aged <70 years and until 1 month after stroke onset in older patients. Motor deficit, assessed using the Medical Research Council (MRC), improved significantly until 6 months after stroke onset in patients aged <70 years. There was a significant improvement in cognition (assessed using the MMSE) until 6 months after stroke onset in patients aged <70 years and until 1 month after stroke onset in older patients. Conclusions: Long-term functional recovery occurred for up to 30 months after stroke. Patients aged ≥70 years showed functional decline between 6 and 30 months after onset. These findings could be useful when measuring functional recovery after stroke.

An Exercise Prescription for Patients with Stroke and Sarcopenia Based on the Modified Delphi Study.

BACKGROUND: We aimed to develop a consensus on the need for and priorities of exercise to treat preexisting sarcopenia with hemiplegic stroke. METHODS: A modified three-round Delphi study was conducted. The panelists responded to the questionnaire on a 7-point Likert scale. Responses were returned with descriptive statistics in the next round. Consensus was defined as >75% agreement (score of 5-7) with a median > 5. The percentage of strong agreement (score of 6-7) and Kendall's coefficient of concordance were calculated to demonstrate a more refined interpretation of the consensus. RESULTS: Fifteen panelists contributed to all rounds. The need for exercise was demonstrated. The consensus was reached on 53 of 58 items in the first round and all items in the second and final rounds. The percentage of strong agreement was high for all but eight items. CONCLUSIONS: This study is the first Delphi study to investigate the need for and priorities of exercise for treating preexisting sarcopenia in stroke hemiplegia. We present a standard recommendation including 57 priorities and a strong recommendation including 49 priorities. The eight items that were excluded reflected factors that are less important to hemiplegic patients with poor balance, cognitive decline, or mental vulnerability.

Determinant of Quality of Life in Patients with Chronic Cerebral Infarct.

This study investigated how physical and cognitive function and psychological factors affected the health-related quality of life (HRQoL, hereafter HQ) of stroke patients in South Korea. The study enrolled 32 right-handed subjects with chronic cerebral infarction with disability and preserved cognitive function (Mini-Mental State Examination ≥ 20). Physical disability was assessed using the modified Rankin Scale (mRS) and Korean modified Barthel Index (KMBI). Quality of life was measured using the World Health Organization Quality of Life-Abbreviated form (WHOQOL-BREF, hereafter WB) and the 36-Item Short-form Health Survey (SF-36) in face-to-face interviews. Psychological distress was investigated using the Beck Depression Inventory Scale-II. The associations of each domain of WB and SF-36 were investigated using Pearson correlation analyses. Physical disability was negatively correlated with HQ in the SF-36. The physical function and bodily pain scales of the SF-36 were negatively correlated with physical disability. The general health domain of the SF-36 was negatively correlated with psychological scores. Emotional status was associated with physical health, social relationships, and general health in HQ. In summary, the severity of physical disability was associated with the patient's general and physical health and body pain. These findings suggest the importance of psychological, cognitive, and physiological interventions for improving the quality of life of patients after cerebral infarction.