ArticleThe journal of nutrition, health & aging2021
SARC-F Predicts Mortality Risk of Older Adults during Hospitalization.
Article in The journal of nutrition, health & aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- European Working Group on Sarcopenia in Older People Algorithm: Step-by-Step Relation With Length of Hospitalization.Journal of the American Geriatrics Society · 2026Article
- Low muscle density on chest computed tomography is associated with early death in non-small cell lung cancer.BMC medical imaging · 2026Article
- The application of Chinese version of SARC-F and SARC-CalF in sarcopenia screening against five definitions: a diagnostic test accuracy study.BMC geriatrics · 2024Article
- Prognostic Impact of Each Item of the SARC-F Questionnaire in Patients Undergoing Major Surgery for Urologic Cancer.Journal of frailty, sarcopenia and falls · 2024Article
- Measuring calf circumference in frail hospitalized older adults and prediction of in-hospital complications and post-discharge mortality.Frontiers in medicine · 2024Article
- Association between SARC-F scores and risk of adverse outcomes in older patients with cardiovascular disease: a prospective study at a tertiary hospital in the south of Vietnam.Frontiers in medicine · 2024Article
- The tele-liver frailty index (TeLeFI): development of a novel frailty tool in patients with cirrhosis via telemedicine.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2023Article
- High SARC-F score predicts poor survival of patients with cancer receiving palliative care.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo determine the association between SARC-F scores and the in-hospital mortality risk among older patients admitted to acute care hospitals.
designSingle-center retrospective study.
settingA university hospital.
participantsAll consecutive patients aged older than 65 were admitted and discharged from the study hospital between July 2019 and September 2019. MEASUREMENTS: Relevant patient data included age, sex, body mass index, nutritional status, fat-free mass, disease, activities of daily living (ADL), duration of hospital stay, SARC-F, and occurrence of death within 30 days of hospitalization. The diseases that caused hospitalization and comorbidities (Charlson Comorbidity Index; CCI) were obtained from medical records. The Eastern Cooperative Oncology Group-performance status (PS) was used to determine ADL, and the in-hospital mortality rate within 30 days of hospitalization as the outcome.
resultsWe analyzed 2,424 patients. The mean age was 75.9±6.9 and 55.5% were male. Fifty-three in-hospital mortalities occurred among the participants within the first 30 days of hospitalization. Patients who died in-hospital were older, had poorer nutritional status and severer PS scores, and more comorbidities than those who did not. A SARC-F score of ≥4 predicted a higher mortality risk within those 30 days with the following precision: sensitivity 0.792 and specificity 0.805. There were significantly more deaths in Kaplan-Meier curves regarding a score of SARC-F≥4 than a score of SARC-F<4 (p<0.001). Cox proportional hazard analysis was used to identify the clinical indicators most associated with in-hospital mortality. SARC-F≥4 (Hazard Ratio: HR 5.65, p<0.001), CCI scores (HR1.11, p=0.004), and infectious and parasitic diseases (HR3.13, p=0.031) were associated with in-hospital mortality. The SARC-F items with significant in-hospital mortality effects were assistance with walking (HR 2.55, p<0.001) and climbing stairs (HR 2.46, p=0.002).
conclusionThe SARC-F questionnaire is a useful prognostic indicator for older adults because a SARC-F ≥4 score during admission to an acute care hospital predicts in-hospital mortality within 30 days of hospitalization.
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