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Background: The purpose of this study was to clarify (1) the differences in cortical bone thickness (CBT) of the tibial diaphysis between healthy and osteoarthritic knees and (2) the influences of the femorotibial angle (FTA) and inclination of the medial compartment of the proximal tibia (MCT) on tibial CBT. Methods: The study assessed 60 subjects with varus knee osteoarthritis (OA) (22 males and 38 females; mean age, 74 ± 7 years) and 53 healthy elderly subjects (28 males and 25 females; mean age, 70 ± 6 years). Three-dimensional estimated CBT of the tibial diaphysis was automatically calculated for 2752–11,296 points using high-resolution measurements from CT. The standardized CBT was assessed in 24 regions by combining six heights and four areas. Additionally, the association between the CBT, each FTA, and MCT inclination was investigated. Results: The OA group showed a thicker CBT in the medial areas than in the lateral areas of the proximal tibia, while the healthy group had a thicker lateral CBT. The medial-to-lateral ratio of the proximal tibia was significantly higher in the OA group than in the healthy group. The proximal-medial CBT correlated with FTA and MCT inclinations in the OA group. Conclusions: This study demonstrated that varus osteoarthritic knees showed a different trend of proximal-medial CBT with associations in FTA and MCT inclination from healthy knees, possibly due to medial load concentration. [ABSTRACT FROM AUTHOR]

Objectives: To determine the association between SARC-F scores and the in-hospital mortality risk among older patients admitted to acute care hospitals. Design: Single-center retrospective study. Setting: A university hospital. Participants: All 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. Results: We 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). Conclusion: The 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. [ABSTRACT FROM AUTHOR]

Objectives: Community-dwelling older adults with sarcopenia are likely to fall. However, few studies have investigated whether sarcopenia is associated with falls during hospitalization in older adults. The purpose of this study was to determine whether the SARC-F when used as a simple screening tool for sarcopenia at the time of admission, predicts in-hospital falls. Design: A retrospective, observational study. Setting: A 900-bed university hospital. Participants: A total of 9,927 patients aged 65 years and older were hospitalized at the hospital between April 2019 and March 2020. Measurements: The SARC-F contains five items: strength, assistance in walking, rise from a chair, climb stairs, and falls were evaluated at hospital admission. To investigate the relationship between the SARC-F score and falls, a ROC curve analysis was performed. Multivariate analysis adjusted for fall-related confounding factors such as age, gender, ADL, and disease were performed. Results: Mean age: 75.9±6.7 years; male: 56.2% were analyzed, and 159 patients (1.6%) fell during hospitalization. SARC-F scores at admission were significantly higher in the fall group than in the control group (3 [1–6] points vs. 0 [¬0–2] point, p<0.001). Statistical association was observed between the SARC-F and in-hospital fall (area under the curve = 0.721 [0.678–0.764], p < 0.001). The cut-off value for the highest sensitivity and specificity of the SARC-F score for in-hospital falls was two (sensitivity = 0.679, specificity = 0.715). Among the subitem of the SARC-F, the hazard ratios for climbing stairs were significantly higher (HR = 1.52 [1.10–2.09], p = 0.011) and for a history of fall was significantly higher (HR = 1.41 [1.02–1.95], p = 0.036). A SARC-F score ≥ 2 had a significantly higher incidence of in-hospital falls compared to a SARC-F score <2 (3.7% vs. 0.7%, p < 0.001). Also, a SARC-F score ≥ 2 had a significantly higher hazard ratio for falls (2.11 [1.37–3.26], p < 0.001). Conclusion: SARC-F can help predict falls among hospitalized older adults. [ABSTRACT FROM AUTHOR]

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±13 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 40.9–15.2%, 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. [ABSTRACT FROM AUTHOR]