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Interventions for stroke-related sarcopenia in patients with stroke are needed, but the details of the target population are unclear. This systematic review aimed to identify trajectories of the prevalence of sarcopenia in the pre- and post-stroke periods and to determine the diagnostic criteria used in patients with stroke. We searched for literature in six databases: MEDLINE, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials, CINAHL, and Ichushi-web (in Japanese). We included 1627 studies in the primary screening, and 35 studies were finally included. Of the 35 studies, 32 (91.4%) included Asian patients, and the criteria of the Asian Working Group for Sarcopenia was mainly used as the diagnostic criteria. Nineteen studies used muscle strength and muscle mass to diagnose sarcopenia, whereas a full assessment, including physical performance, was performed in five studies. The estimated prevalences of sarcopenia in pre-stroke, within 10 days of stroke, and from 10 days to 1 month after stroke were 15.8%, 29.5%, and 51.6%, respectively. Sarcopenia increased by approximately 15% from pre-stroke to 10 days, and increased by approximately 20% from 10 days to 1 month. Healthcare providers should note that the prevalence of sarcopenia increases during the acute phase in patients with stroke.

The assessment of sarcopenia is part of the nutritional assessment index and is essential in stroke management. This study aimed to identify and validate cutoff values of temporal muscle thickness (TMT) measured using computed tomography to identify sarcopenia after acute stroke. The participants were patients with stroke aged ≥65 years who were admitted to rehabilitation units. The recruited patients were randomly divided into the calculation and validation cohort. In the calculation cohort, TMT cutoff values for identifying sarcopenia were calculated using receiver operating characteristic analysis. The obtained values were validated in the validation cohort using sensitivity and specificity. The calculation cohort included 230 patients (125 men, mean age, 77.2 ± 7.2 years), whereas the validation cohort included 235 patients (125 men, mean age, 76.4 ± 6.95 years). The TMT cutoff values for identifying sarcopenia and low skeletal muscle index were the same: 3.83 mm for men and 2.78 mm for women. The TMT cutoff value for identifying sarcopenia showed a sensitivity and specificity of 0.642 and 0.750, respectively, for men, and 0.660 and 0.567, respectively, for women. We identified a valid cutoff value of temporal muscle thickness for identifying sarcopenia after acute stroke. TMT is easy to measure and may be useful for the early detection of sarcopenia.

Background/objectives: Texture-modified diets (TMDs) may affect nutritional status and sarcopenia in patients after stroke. This study aimed to investigate the association of food texture levels consumed by patients after stroke with the prevalence of malnutrition and sarcopenia., Subjects/methods: This was a two-center cross-sectional study. A total of 443 patients aged ≥65 years undergoing post-stroke rehabilitation and with oral intake in rehabilitation wards in Shizuoka prefecture and Okinawa prefecture, Japan, were included in the analysis. Food textures were categorized according to the International Dysphagia Diet Standardization Initiative (IDDSI) framework. Malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition and sarcopenia was assess by the European Working Group on Sarcopenia in Older People 2 criteria. The Cochran-Armitage trend test was used to examine the prevalence of malnutrition and sarcopenia by consumption of lower food texture levels., Results: Malnutrition and sarcopenia were diagnosed in 245 (55.3%) and 275 (62.1%) participants, respectively. Consumption of lower food texture levels was associated with a higher prevalence of malnutrition and severe malnutrition (P < 0.001 for both). In addition, consumption of lower food texture levels was associated with a higher prevalence of probable sarcopenia and sarcopenia (P < 0.001 for both). On multivariate analysis, significant associations were observed between IDDSI levels 5 (P < 0.001) and 4 (P = 0.009) and malnutrition, and between IDDSI levels 6 (P = 0.015), 5 (P = 0.033), and 4 (P = 0.015) and sarcopenia., Conclusions: In patients with stroke, consumption of lower food texture levels categorized by the IDDSI framework was associated with a higher prevalence of malnutrition and sarcopenia., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)

Purpose: The Asia Working Group for Sarcopenia 2019 (AWGS) recommended using the calf circumference (CC) cut-off values to facilitate the case-finding of sarcopenia. However, the validity of the proposed cut-offs has not been examined in older patients with stroke. This study investigated the validity of the AWGS-recommended CC cut-off values for identifying sarcopenia among older patients with stroke., Materials and Methods: This cross-sectional study enrolled consecutive patients with stroke, aged 65 years and older, admitted to a convalescent rehabilitation ward. Sarcopenia was diagnosed based on the AWGS 2019 criteria. We drew a receiving operating characteristic curve to assess the ability of CC to predict sarcopenia diagnosis. Subsequently, we estimated the sensitivity, specificity, accuracy, F-value, and Matthews correlation coefficient (MCC) of the considered cut-off values., Results: We enrolled 256 patients (43 % women) (mean age, 76.6 ± 7.5 years). The prevalence of sarcopenia was 63.7 %. Among men who presented with CC < 34 cm (the AWGS-recommended cut-off value), sensitivity and specificity were 85 % and 66 %, respectively. Concurrently, estimates of accuracy, F-value, and MCC were the highest at cut-off value <34 cm. Among women, at <33 cm of the AWGS-recommended cut-off value, the sensitivity and specificity were 91 % and 28 %, respectively. At cut-off value <32 cm, sensitivity was maintained at 80 %, while specificity increased to 56 %; suggesting that this cut-off value might be a useful indicator for the case-finding of sarcopenia., Conclusions: The AWGS-recommended CC cut-off values are valid. The predictive characteristics of sarcopenia differed among men and women with stroke., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Aim: This study aimed to develop appendicular skeletal muscle mass (ASM) estimating formulas that also consider the presence of paralysis for older adults and people with disabilities. Methods: This retrospective study analyzed 315 consecutive patients, post‐stroke, aged ≥65 years, in a rehabilitation hospital. Six different ASM estimating formulas were developed using a five‐fold cross‐validation method and compared with the measured ASM obtained from bioelectrical impedance analysis. These formulas included age, gender, height, weight, arm circumference, triceps skinfold, calf circumference and presence of paralysis. Using Pearson's correlation coefficients (r) and intraclass correlation coefficient (ICC), we examined the correlation between the formulas and the measured ASM. The accuracy of the ASM estimating formula for detecting decreased muscle mass was evaluated using the F‐value and Matthew's correlation coefficient. Results: Patients' mean ± SD age was 79.0 ± 8.1 years, and 51.4% of them were men. The mean ± SD bioelectrical impedance analysis‐measured ASM was 13.7 ± 4.3 kg. Furthermore, 241 (76.5%) patients had decreased measured ASM. The mean adjusted R2 of the developed six formulas was 0.861–0.871. In all formulas, the r and ICC of the estimated ASM for the measured ASM were strong (r = 0.936–0.930 and ICC = 0.928–0.934). These formulas revealed excellent sensitivity (86.0–88.2%), specificity (72.5–81.1%), accuracy (0.838–0.870), F‐value (0.899–0.918) and Matthew's correlation coefficient (0.509–0.612) for measured ASM depletion. Conclusions: We successfully developed ASM estimating formulas using anthropometric measurements considering the presence of paralysis. Thus, these formulas are beneficial for diagnosing sarcopenia in older adults, without requiring any special equipment. Geriatr Gerontol Int 2020; 20: 1145–1150. [ABSTRACT FROM AUTHOR]

Aim: Older adults often present with several comorbidities, including sarcopenia. However, the prevalence of sarcopenia and its associations with other comorbidities in hospitalized older adults are unknown. The present study aimed to determine the prevalence of sarcopenia, and its associations with other comorbidities in hospitalized older adults. Methods: The present cross-sectional study included 619 patients admitted to a geriatric hospital. The prevalence of comorbidities in the presence and absence of sarcopenia, nutritional status (according to body mass index and the Mini-Nutritional Assessment-Short Form), and activities of daily living (according to the Barthel Index) were assessed. Sarcopenia was defined as skeletal muscle loss evaluated by both bioelectrical impedance and handgrip strength analyses. Results: Of the 619 participants (mean age 83.0 ± 8.2 years), 417 (67.4%) and 87 (14.1%) had definitive and possible sarcopenia, respectively. The prevalence rates of cognitive impairment and stroke were significantly higher in patients with definitive sarcopenia and those with possible sarcopenia than in those without sarcopenia (cognitive impairment 54.4%, 70.1% and 20.9%, respectively, P < 0.001; stroke 31.2%, 48.3% and 19.1%, respectively, P < 0.001). Multivariate logistic regression analysis showed that cognitive impairment was independently associated with sarcopenia after adjusting for age, sex, the Mini-Nutritional Assessment-Short Form score, Barthel Index and primary disease (adjusted odds ratio 1.98, 95% confidence interval 1.06–3.71; P = 0.032). Conclusions: Sarcopenia might be highly prevalent among hospitalized older adults. Furthermore, cognitive impairment might be an independent explanatory variable of sarcopenia. Therefore, further studies on sarcopenia in patients with cognitive impairment are warranted. [ABSTRACT FROM AUTHOR]

In many cases, swallowing function is impaired after the onset of stroke and gradually improves. However, delayed dysphagia has been reported in some post-stroke patients. Recently, several studies have reported that low muscle strength and decreased muscle mass cause dysphagia. This study aimed to investigate whether these conditions are associated with delayed dysphagia after stroke. A multicenter prospective observational cohort study. Participants included 165 patients with post-stroke dysphagia (mean age 79.1 ± 8.0 years, 53.3% women) admitted to rehabilitation wards for post-stroke rehabilitation. Swallowing function was assessed using the Functional Oral Intake Scale. Delayed dysphagia was defined as dysphagia that occurred more than 7 days after stroke onset. We used logistic regression to examine the independent association between low muscle strength and decreased muscle mass and delayed dysphagia development. Furthermore, we examined the relationship between improvement in dysphagia and delayed dysphagia. Delayed dysphagia was observed in 18 (10.9%) patients. The combination of severely low muscle strength and decreased muscle mass was independently associated with the development of delayed dysphagia (adjusted odds ratio: 4.423, 95% confidence interval: 1.400–13.974, P =.011). Delayed dysphagia had an adverse effect on the improvement of dysphagia during in-hospital rehabilitation (adjusted odds ratio: 0.278, 95% confidence interval: 0.078–0.986, P =.047). The development of delayed dysphagia was influenced by a combination of severely low muscle strength and decreased muscle mass. Furthermore, delayed dysphagia adversely affects the improvement of dysphagia in patients with stroke and needs to be identified early. Identifying delayed dysphagia using the methods proposed in this study and incorporating early intervention may prevent or delay dependency conditions in this population. [ABSTRACT FROM AUTHOR]