Literature DB >> 33244560

SARC-F as a Screening Tool for Sarcopenia and Possible Sarcopenia Proposed by AWGS 2019 in Hospitalized Older Adults.

Y Ishida1, K Maeda, T Nonogaki, A Shimizu, Y Yamanaka, R Matsuyama, R Kato, J Ueshima, K Murotani, N Mori.   

Abstract

OBJECT: The SARC-F questionnaire is a sarcopenia screening tool. However, the validity of the SARC-F score ≥4 (SARC-F≥4) for the evaluation of sarcopenia in the hospital setting has not been investigated. This study investigated the validity of SARC-F≥4 as a screening tool for sarcopenia among hospitalized older adults.
DESIGN: Cross-sectional retrospective study.
SETTING: A university hospital. PARTICIPANTS: This study included older adult patients (age ≥65 years) who were hospitalized at, and subsequently discharged from, the hospital between April and September 2019 and underwent a nutritional assessment by the nutrition support team during their hospitalization. MEASUREMENTS: SARC-F was recorded at the time of admission, and the criteria specified by the Asia Working Group for Sarcopenia in 2019 (AWGS 2019) were applied to diagnose sarcopenia and possible sarcopenia. Appendicular muscle mass was estimated through validated equations, and three different models were developed for sarcopenia diagnosis. The sensitivity, specificity, and positive/negative likelihood ratios were calculated to analyze the accuracy of the SARC-F≥4 for sarcopenia and possible sarcopenia. Receiver-operating characteristic analyses were conducted to calculate the area under the curve (AUC).
RESULTS: In total, 1,689 patients (mean age: 77.2±7.3 years; male: 54.4%) were analyzed, and 636 patients (37.7%) had SARC-F≥4. Patients with SARC-F≥4 had a statistically significant higher prevalence of AWGS 2019-defined sarcopenia than patients with SARC-F <4 in the models (65.4-78.9% vs 40.9-45.2%, p<0.001). The sensitivity, specificity, and positive/negative likelihood ratios of SARC-F≥4 for sarcopenia and possible sarcopenia were 49.1-51.3%, 73.9-81.2%, and 1.88-2.72/0.60-0.69 and 48.0%, 84.5%, and 3.11/0.62, respectively. The AUC for sarcopenia and possible sarcopenia were 0.644-0.695 and 0.708, respectively. The AUC of SARC-F for possible sarcopenia was equivalent to or larger than that for sarcopenia (DeLong test p=0.438, 0.088, and <0.001 vs the three models).
CONCLUSIONS: SARC-F≥4 is suitable as a screening tool for sarcopenia in hospitalized older adults. SARC-F assessment could facilitate the detection and exclusion of sarcopenia at hospitalization and may lead to early adoption of a therapeutic and preventive approach.

Entities:  

Keywords:  Sarcopenia; accuracy; elderly; possible sarcopenia

Mesh:

Year:  2020        PMID: 33244560     DOI: 10.1007/s12603-020-1462-9

Source DB:  PubMed          Journal:  J Nutr Health Aging        ISSN: 1279-7707            Impact factor:   4.075


  8 in total

1.  Limitations of SARC-F as a Screening Tool for Sarcopenia in Patients on Hemodialysis.

Authors:  Keigo Imamura; Shohei Yamamoto; Yuta Suzuki; Ryota Matsuzawa; Manae Harada; Shun Yoshikoshi; Atsushi Yoshida; Atsuhiko Matsunaga
Journal:  Nephron       Date:  2021-09-14       Impact factor: 2.847

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

Authors:  Ruihong Yao; Liqing Yao; Changli Yuan; Bu-Lang Gao
Journal:  Front Neurol       Date:  2022-04-29       Impact factor: 4.086

3.  High SARC-F score predicts poor survival of patients with cancer receiving palliative care.

Authors:  Naoharu Mori; Keisuke Maeda; Yasuyuki Fukami; Remi Matsuyama; Tomoyuki Nonogaki; Ryoko Kato; Yuria Ishida; Akio Shimizu; Junko Ueshima; Ayano Nagano
Journal:  Support Care Cancer       Date:  2022-01-22       Impact factor: 3.603

4.  Editorial: Sarcopenia: 2020.

Authors:  J E Morley
Journal:  J Nutr Health Aging       Date:  2021       Impact factor: 5.285

5.  Possible Sarcopenia and Impact of Dual-Task Exercise on Gait Speed, Handgrip Strength, Falls, and Perceived Health.

Authors:  Reshma Aziz Merchant; Yiong Huak Chan; Richard Jor Yeong Hui; Jia Yi Lim; Sing Cheer Kwek; Santhosh K Seetharaman; Lydia Shu Yi Au; John E Morley
Journal:  Front Med (Lausanne)       Date:  2021-04-16

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

Authors:  Alessandro Leone; Gabriele Rescio; Andrea Manni; Pietro Siciliano; Andrea Caroppo
Journal:  Sensors (Basel)       Date:  2022-04-01       Impact factor: 3.576

7.  SARC-F Is a Predictor of Longer LOS and Hospital Readmission in Hospitalized Patients after a Cardiovascular Event.

Authors:  Ana Paula Trussardi Fayh; Francisco Felipe de Oliveira Guedes; Guilherme Carlos Filgueira Calado; Sandra Azevedo Queiroz; Marina Gabriely Gomes Barbosa Anselmo; Iasmin Matias de Sousa
Journal:  Nutrients       Date:  2022-07-30       Impact factor: 6.706

Review 8.  Dietary Recommendations for Post-COVID-19 Syndrome.

Authors:  Luigi Barrea; William B Grant; Evelyn Frias-Toral; Claudia Vetrani; Ludovica Verde; Giulia de Alteriis; Annamaria Docimo; Silvia Savastano; Annamaria Colao; Giovanna Muscogiuri
Journal:  Nutrients       Date:  2022-03-20       Impact factor: 5.717

  8 in total

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