Skeletal muscle wasting in the intensive care unit (ICU) has been associated with mortality, but it is unclear whether sarcopenia, defined by skeletal muscle mass and function, is useful for detailed risk stratification after ICU discharge. In this cohort study, 72 critically ill patients with an ICU stay of ≥48 h were identified. Skeletal muscle mass was assessed from the muscle thickness (MT) of the patients’ quadriceps using ultrasound images before ICU discharge. Skeletal muscle function was assessed from the patients’ muscle strength (MS) before ICU discharge according to the Medical Research Council sum score. A diagnosis of sarcopenia in the ICU was made in patients with low MT and low MS. The study endpoint was 1-year mortality. Sarcopenia in the ICU was diagnosed in 26/72 patients (36%). After adjusting for covariates in the Cox regression, sarcopenia in the ICU was significantly associated with 1-year mortality (hazard ratio 3.82; 95% confidence interval, 1.40–10.42). Sarcopenia in the ICU, defined by low skeletal muscle mass and function, was associated with 1-year mortality in survivors of critical illness. Skeletal muscle mass and function assessed at the bedside could be used to identify higher-risk patients in the ICU.

Respiratory muscle weakness, frequently observed in patients with heart failure (HF), is reported as a predictor for poor prognosis. Although increased respiratory muscle strength ameliorates exercise tolerance and quality of life in HF patients, the relationship between changes in respiratory muscle strength and patient prognosis remains unclear. A total of 456 patients with HF who continued a 5-month cardiac rehabilitation (CR) were studied. We measured maximal inspiratory pressure (PI_max) at hospital discharge as the baseline and five months thereafter to assess the respiratory muscle strength. Changes in PI_max during the 5-month observation period (⊿PI_max) were examined. We investigated the composite multiple incidence of all-cause death or unplanned readmission after 5-month CR. The relationship between ⊿PI_max and the incidence of clinical events was analyzed. Over a median follow-up of 1.8 years, 221 deaths or readmissions occurred, and their rate of incidence was 4.3/100 person-years. The higher ⊿PI_max was significantly associated with lower incidence of clinical event. In multivariate Poisson regression model after adjustment for clinical confounding factors, ⊿PI_max remained a significant and independent predictor for all-cause death/readmission (adjusted incident rate ratio for ⊿PI_max increase of 10 cmH₂O: 0.77, 95% confidence interval: 0.70–0.86). In conclusion, the changes in respiratory muscle strength independently predict the incidence of clinical events in patients with HF.

As frailty in older patients with acute heart failure (AHF) has an adverse effect on clinical outcomes, the addition of electrical muscle stimulation (EMS) to exercise-based early rehabilitation may improve the effects of treatment. Post hoc analysis was performed on a randomized controlled study for clinical outcomes and prespecified subgroups (ACTIVE-EMS: UMIN000019551). In this trial, 31 AHF patients aged ≥ 75 years with frailty (Short Physical Performance Battery [SPPB] score 4–9) were randomized 1:1 to receive treatment with an early rehabilitation program only (n = 16) or early rehabilitation with add-on EMS therapy (n = 15) for 2 weeks. Changes in physical function and cognitive function between baseline and after two weeks of treatment were assessed. There were no adverse events during the EMS period. The EMS group showed significantly greater changes in quadriceps’ isometric strength and SPPB compared to the control group, and EMS therapy showed uniform effects in the prespecified subgroups. There were no significant differences in the changes in other indexes of physical function and cognitive function between groups. There was no significant difference in the rate of heart failure hospitalization at 90 days between groups. In conclusion, older AHF patients with frailty showed greater improvement in lower extremity function with the addition of EMS therapy to early rehabilitation without adverse events.

Aims: SARC-F ≥ 4 points are used for detecting sarcopenia; however, finding a lower SARC-F cut-off value may lead to early detection of sarcopenia. We investigated the SARC-F score with the highest sensitivity and specificity values to identify sarcopenia in older patients with cardiovascular disease (CVD). Motor performances were also examined for each SARC-F score. Methods and results: This retrospective cross-sectional study examined the sensitivity and specificity of every 1-point increase in the SARC-F score to predict sarcopenia. Eligible participants included patients with CVD (≥65 years old) who were admitted for acute CVD treatment and participated in cardiac rehabilitation. Patients completed the SARC-F questionnaire and the sarcopenia assessment. Area under the curves (AUCs) were investigated for the ability to predict sarcopenia. Multivariable linear regression was used to compare the mean value of physical functions (e.g. walking speed, leg strength, and 6 min walking distance) of each SARC-F score. A total of 1066 participants (63.8% male; median age: 76 years) were included. Sarcopenia was present in 401 patients. A SARC-F cut-off ≥2 presented the optimal balance between sensitivity (68.3%) and specificity (55.6%) to detect sarcopenia (AUCs = 0.658; 95% confidence interval: 0.625–0.691). When the patients had low scores (1–3), every 1 point increase in the SARC-F score was associated with lower physical functions such as lower muscle strength and shorter walking distance (all P < 0.001). Conclusion: A SARC-F cut-off ≥2 was optimal for screening sarcopenia, and even a low SARC-F score is useful in detecting sarcopenia and low physical function at an early stage in patients with CVD.

Aims: The risk of developing heart failure (HF) after acute coronary syndrome (ACS) remains high. It is unclear whether skeletal muscle strength, in addition to existing risk factors, is a predictor for developing HF after ACS. We aimed to clarify the relationship between quadriceps isometric strength (QIS), a skeletal muscle strength indicator, and the risk of developing HF in patients with ACS. Methods and results: We included 1053 patients with ACS without a prior HF or complications of HF during hospitalization. The median (interquartile range) age was 67 (57–74) years. The patients were classified into two groups—high and low QIS—using the sex-specific median QIS. The endpoint was HF admissions. During a mean follow-up period of 4.4 ± 3.7 years, 75 (7.1%) HF admissions were observed. After multivariate adjustment, a high QIS was associated with a lower risk of HF [hazard ratio: 0.52, 95% confidence interval (CI): 0.32–0.87]. Hazard ratio (95% CI) per 5% body weight increment increase of QIS for HF incidents was 0.87 (0.80–0.95). Even when competing risks of death were taken into account, the results did not change. The inclusion of QIS was associated with increases in net reclassification improvement (0.26; 95% CI: 0.002–0.52) and an integrated discrimination index (0.01; 95% CI: 0.004–0.02) for HF. Conclusion: The present study showed that a higher level of QIS was strongly associated with a lower risk of developing HF after ACS. These findings suggest that skeletal muscle strength could be one of the factors contributing to the risk of developing HF after ACS.