Accuracy of Calf Circumference Measurement, SARC-F Questionnaire, and Ishii's Score for Screening Stroke-Related Sarcopenia

Yao, Liqing; Yuan, Changli; Gao, Bu-Lang

doi:10.3389/fneur.2022.880907

Cited by 19 publications

(16 citation statements)

References 40 publications

(44 reference statements)

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“…44,45) Additionally, the presence of cognitive decline might have influenced the accuracy of the results as the SARC-F is a self-report questionnaire; thus, it depends on a participant's ability to accurately estimate their physical abilities. 46) In contrast, Yao et al 47) showed that when validated against the 2019 AWGS diagnostic criteria among patients with stroke in China, the sensitivity and specificity of the sarcopenia screening tools were as follows: SARC-F (sensitivity of 94.7%; specificity of 40.0%), Ishii's score (sensitivity of 90.1%; specificity of 36.0%), and CC alone (sensitivity of 81.8%; specificity of 90.1%). Ishii's score was derived from a sex-specific formula that included age, HGS, and CC values.…”

Section: Discussionmentioning

confidence: 94%

Possible Sarcopenia and Its Association with Nutritional Status, Dietary Intakes, Physical Activity and Health-Related Quality of Life among Older Stroke Survivors

Wong

Harith

Lua

et al. 2022

Ann Geriatr Med Res

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Background: Screening for sarcopenia in the stroke population is an emerging concept in research and clinical practice. Therefore, this cross-sectional study aimed to assess the prevalence of possible sarcopenia and its associated factors among older stroke survivors who visited the neurology and rehabilitation departments of three public hospitals in Malaysia. Methods: We acquired data on sociodemographic characteristics, clinical profiles, malnutrition risk, dietary intake, physical activity level, and health-related quality of life. Possible sarcopenia was diagnosed in individuals with decreased calf circumference and low handgrip strength, as proposed by the Asia Working Group for Sarcopenia (2019). Finally, we performed descriptive analysis and binary logistic regression. Results: Among 196 older adults with stroke (mean± standard deviation of age: 67.60 ± 5.70 years), 42.3% had possible sarcopenia, with a higher prevalence in the more advanced age group (≥70 years). In univariable analysis, possible sarcopenia was significantly associated with anthropometric indices, malnutrition risk, nutrient intake, physical activity level, and health-related quality of life. In multivariable analysis, body mass index (adjusted odds ratio [AOR]=0.57; 95% confidence interval [CI], 0.43–0.75) was the only factor associated with possible sarcopenia among individuals aged ≥70 years. Recurrent stroke (AOR=3.48; 95% CI, 1.02–11.92), body mass index (AOR=0.64; 95% CI, 0.54–0.76), and EQ-5D index (AOR=0.15; 95% CI, 0.03–0.78) were significantly associated with possible sarcopenia in the 60–69-year age group.Conclusion: The prevalence of possible sarcopenia among community-dwelling older stroke survivors was high. Therefore, we recommend routine screening for possible sarcopenia to ensure early nutritional and exercise intervention.

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Section: Discussionmentioning

confidence: 94%

Possible Sarcopenia and Its Association with Nutritional Status, Dietary Intakes, Physical Activity and Health-Related Quality of Life among Older Stroke Survivors

Wong

Harith

Lua

et al. 2022

Ann Geriatr Med Res

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“…The following supporting information can be downloaded at: https: //www.mdpi.com/article/10.3390/nu15010113/s1, Table S1: Search strategy for the systematic review; Table S2: Summary of the included studies [53][54][55][56][57][58][59][60][61].…”

Section: Supplementary Materialsmentioning

confidence: 99%

“…The following supporting information can be downloaded at: , Table S1: Search strategy for the systematic review; Table S2: Summary of the included studies [ 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 ].…”

mentioning

confidence: 99%

Trajectories of the Prevalence of Sarcopenia in the Pre- and Post-Stroke Periods: A Systematic Review

Inoue

Ueshima

Kawase³

et al. 2022

Nutrients

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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.

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“…We investigated sarcopenia risk using the Screening for Sarcopenia questionnaire (SARC-F) [30], which allows rapid screening using self-reported data on falls, stair climbing, rising from a chair, walking with assistance, and strength. SARC-F was recommended by the AWGS 2019 as a tool with excellent specificity to screen sarcopenia in communitydwelling older adults [31]. In addition, its reliability and validity have been proven in several studies [32,33].…”

Section: Sarcopenia Riskmentioning

confidence: 99%

Characteristics of Sleep and Autonomic Activity in Active Older Adults Based on Metabolic Age: A Case Report

Sato¹,

Tanioka²,

Betriana³

et al. 2023

Preprint

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This case report examined the characteristics of body composition, sleep quality, and autonomic nerve activity in active older adults with a younger body age—calculated from age trends in body composition and basal metabolic rate. We selected two cases who had a metabolic age younger than their actual age. They had good sleep quality, low sleep quality scores, no sarco-penia, strong muscle and grip strength, and balanced autonomic nervous system activity. Fur-thermore, they were determined to be much younger than their actual age. They were compared with two other age- and sex-matched cases, who had poor sleep quality, unbalanced autonomic nervous system activity, and had a physical age closer to their actual age. Older adults with more muscle mass and higher basal metabolism were younger than their actual age, had a better sleep status, and a good balance of autonomic nervous activity in the exercise stimulation. They also had lower percentages of body- and visceral fat and higher body water. Meanwhile, the older adults with standard muscle mass and basal metabolic rate had a poor sleep status and no sympathetic hyperactivity in the exercise simulation.

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Accuracy of Calf Circumference Measurement, SARC-F Questionnaire, and Ishii's Score for Screening Stroke-Related Sarcopenia

Cited by 19 publications

References 40 publications

Possible Sarcopenia and Its Association with Nutritional Status, Dietary Intakes, Physical Activity and Health-Related Quality of Life among Older Stroke Survivors

Possible Sarcopenia and Its Association with Nutritional Status, Dietary Intakes, Physical Activity and Health-Related Quality of Life among Older Stroke Survivors

Trajectories of the Prevalence of Sarcopenia in the Pre- and Post-Stroke Periods: A Systematic Review

Characteristics of Sleep and Autonomic Activity in Active Older Adults Based on Metabolic Age: A Case Report

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