SARC-F as a case-finding tool for sarcopenia according to the EWGSOP2. National validation and comparison with other diagnostic standards

Piotrowicz, Karolina; Głuszewska, Anna; Czesak, Joanna; Fedyk-Łukasik, Małgorzata; Klimek, Ewa; Sánchez-Rodríguez, Dolores; Skalska, Anna; Grodzicki, Tomasz; Gąsowski, Jerzy

doi:10.1007/s40520-020-01782-y

Cited by 27 publications

(18 citation statements)

References 48 publications

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“…It is also important to mention that 3 of the 4 included studies focused on hospitalized patients, and that the pooled prevalence of sarcopenia was higher than in the general population at 21.56% [25]. We are aware of two other studies that are not included in this meta-analysis, namely Piotrowicz et al who reported a sensitivity of 35.3% and a specificity of 85.7%, and Nguyen et al, with a sensitivity of 64.9% and a specificity of 68.2%, both of which recruited community-dwelling older people [29,30]. It has been argued that the SARC-F is better suited to ruling out sarcopenia rather than case-finding, which seems to be the case for the last two articles mentioned, but not so for the 4 included in the meta-analysis of Lu et al [31,32].…”

Section: Discussionmentioning

confidence: 89%

“…In fact, the items in the Ishii test closely resemble those that make up the diagnosis of sarcopenia according to the EWG-SOP2 criteria, namely grip strength and calf circumference (as an indicator of muscle mass) [26]. The Ishii screening test has also shown, in a Polish study, that it possesses good screening accuracy when used to find sarcopenic people diagnosed with the EWGSOP2 criteria [29]. However, any comparison between the Ishii screening test and the SARC-F and Overall SarQoL ® score needs to take into account that the Ishii screening test necessitates a face-to-face contact between the researcher and the potential candidate to obtain grip strength and calf circumference measurements, whereas the SARC-F and the SarQoL ® questionnaire can be administered via the postal service, through the internet or via telephone.…”

Section: Discussionmentioning

confidence: 96%

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Assessment of the performance of the SarQoL® questionnaire in screening for sarcopenia in older people

et al. 2021

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Background Because of its low prevalence and the need for physical tests to establish a diagnosis, recruiting sarcopenic people for clinical studies can be a resource-intensive process. Aims We investigated whether the SarQoL ® , a 55-item questionnaire designed to measure quality of life in sarcopenia, could be used to identify older people with a high likelihood of being sarcopenic, and to compare its performance to the SARC-F tool. Methods We performed a secondary analysis of data from older, community-dwelling participants of the SarcoPhAge study, evaluated for sarcopenia according to the EWGSOP2 criteria, and who completed the SarQoL ® and SARC-F questionnaires. We determined the optimal threshold to distinguish between sarcopenic and non-sarcopenic people with the Youden index. Screening performance was evaluated with the area under the curve (AUC) and by calculating sensitivity and specificity. ResultsThe analysis of 309 participants provided an optimal threshold value of ≤ 52.4 points for identifying people with sarcopenia with the SarQoL ® questionnaire, which resulted in a sensitivity of 64.7% (41.1-84.2%), a specificity of 80.5% (75.7-84.7%) and an AUC of 0.771 (0.652-0.889). Compared to the SARC-F, the SarQoL ® has greater sensitivity (64.7% vs 52.39%), but slightly lower specificity (80.5% vs. 86.6%). Discussion The SarQoL ® questionnaire showed acceptable screening accuracy, on par with the SARC-F. The optimal threshold of ≤ 52.4 points should be confirmed in other cohorts of older people. Conclusions This exploratory study showed that the SarQoL ® could potentially be applied in a screening strategy, with the added benefit of providing a measure of QoL at the same time.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 96%

Assessment of the performance of the SarQoL® questionnaire in screening for sarcopenia in older people

et al. 2021

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“…The confidence levels were calculated using the SARC-F questionnaire, muscle strength testing and a physical performance evaluation (walking speed and sit-to-down test). Furthermore, it has been considered that some more recent research work [ 31 , 32 ] reveals a low level of confidence in the disease under investigation by only analysing the SARC-F questionnaire score.…”

Section: Methodsmentioning

confidence: 99%

Comparative Analysis of Supervised Classifiers for the Evaluation of Sarcopenia Using a sEMG-Based Platform

Leone

Rescio

Manni

et al. 2022

Sensors

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Sarcopenia is a geriatric condition characterized by a loss of strength and muscle mass, with a high impact on health status, functional independence and quality of life in older adults. [d=TT, ]To reduce the effects of the disease, just the diagnostic is not enough, it is necessary more than recognition.To reduce the effects of the disease, it is important to recognize the level and progression of sarcopenia early. Surface electromyography is becoming increasingly relevant for the prevention and diagnosis of sarcopenia, also due to a wide diffusion of smart and minimally invasive wearable devices suitable for electromyographic monitoring. The purpose of this work is manifold. The first aim is the design and implementation of a hardware/software platform. It is based on the elaboration of surface electromyographic signals extracted from the Gastrocnemius Lateralis and Tibialis Anterior muscles, useful to analyze the strength of the muscles with the purpose of distinguishing three different “confidence” levels of sarcopenia. The second aim is to compare the efficiency of state of the art supervised classifiers in the evaluation of sarcopenia. The experimentation stage was performed on an “augmented” dataset starting from data acquired from 32 patients. The latter were distributed in an unbalanced manner on 3 “confidence” levels of sarcopenia. The obtained results in terms of classification accuracy demonstrated the ability of the proposed platform to distinguish different sarcopenia “confidence” levels, with highest accuracy value given by Support Vector Machine classifier, outperforming the other classifiers by an average of 7.7%.

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“…The participants were explained about the questionnaire and if the participant provided the oral consent, the author assessed their eligibility by asking the age and administration of SARC-F. The Strength, Ambulation, Rising from a chair, Stair climbing and history of Falling (SARC-F) questionnaire having a speci city of 85.7% and positive predictive values of 42.9% [22] was used to screen and to categorize older adults with and without Sarcopenia. Total of ten (n = 10) and nine (n = 9) were identi ed as sarcopenics and non-sarcopenics respectively.…”

Section: Phase 5: Test Of the Pre-nal Versionmentioning

confidence: 99%

Kannada translation and cross-cultural adaptation of the SarQol®: sarcopenia specific quality of life questionnaire

Kumar

Umakanth

Girish

2022

Preprint

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Background Sarcopenia Quality of life questionnaire (SarQol) in Indian vernacular language is limited to Hindi, Marathi, and Bengali. Objective To translate and cross-culturally adapt the original Sarcopenia Quality of Life Questionnaire (SarQol) to the Kannada language Methods The rights owners of the SarQoL questionnaire granted permission for translation and cross-cultural adaption, and the translation was articulated in five stages: (i) two initial translations from English to Kannada; (ii) synthesis of the two translations; (iii) backward translations; (iv) expert committee to compare the backward translations with the original questionnaire and (v) pre-test. Result Six items identified in phase I were rectified in second phase. There found to be thirteen major and nine minor discrepancies between back-translated and original questionnaire. Expert committee meeting addressed the discrepancy using the liberal and literal methods to maintain the content and semantic equivalence. Nineteen participants were recruited for pilot testing. To assess for the presence of sarcopenia, participants (n = 10 sarcopenic, n = 9 non-sarcopenic) responded to the Strength, Ambulation, Rising from a chair, Stair climbing and history of Falling (SARC-F). Participants (n = 19, Males/Females: 11/8; Sarcopenic/Non-sarcopenic, mean (SD) age: 71.8 (8.48) years/68.22 (6.14) years) provided suggestions and feedback for seven items which were discussed with the experts and final SarQol-Kannada version was produced. Conclusion The Kannada version of the SarQol questionnaire is comparable with the original and after the validation of psychometric properties, it would be a useful tool to assess the quality of life of Kannada-speaking sarcopenic older adults in clinical and research settings.

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SARC-F as a case-finding tool for sarcopenia according to the EWGSOP2. National validation and comparison with other diagnostic standards

Cited by 27 publications

References 48 publications

Assessment of the performance of the SarQoL® questionnaire in screening for sarcopenia in older people

Assessment of the performance of the SarQoL® questionnaire in screening for sarcopenia in older people

Comparative Analysis of Supervised Classifiers for the Evaluation of Sarcopenia Using a sEMG-Based Platform

Kannada translation and cross-cultural adaptation of the SarQol®: sarcopenia specific quality of life questionnaire

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