Sumio Yamada

Background: We developed the SaFIS, a structured self-administered food intake survey for patients with cardiovascular diseases needing dietary improvements.Methods and Results: The SaFIS comprised questions on 31 items, including staple foods (7 items) and food ingredients (24 items), based on the foods recommended by the Japanese Atherosclerosis Society for the Prevention of Arteriosclerotic Disease. To evaluate reproducibility, SaFIS was administered twice with a 1-month interval using the intraclass correlation coefficient (ICC [1,1]). Validity was assessed by comparing energy and nutrient content from a weighed dietary record (WDR) with the first SaFIS survey using Bland-Altman plots. Reproducibility values were energy (ICC 0.90, 95% confidence interval: 0.80–0.95), protein (0.90, 0.80–0.95), fat (0.76, 0.54–0.88), saturated fatty acids (0.78, 0.58–0.89), monounsaturated fatty acids (0.76, 0.56–0.88), polyunsaturated fatty acids (0.82, 0.66–0.91), carbohydrates (0.89, 0.79–0.95), and dietary fiber (0.86, 0.71–0.93). Bland-Altman values indicated SaFIS-based energy, protein, carbohydrate, monounsaturated fatty acids, and dietary fiber were 67.2 kJ, 5.7 g, 3.9 g, 0.5 g, and 1.8 g greater than WDR-based values, respectively. SaFIS-based fat, saturated, and polyunsaturated fatty acid values were 0.7 g, 1.3 g, and 0.39 g less than WDR-based values, respectively.Conclusions: SaFIS demonstrated high reproducibility and validity with clinical potential. Subsequent introduction to digital health from the usability perspective is planned.

International Press of Boston - publishers of scholarly mathematical and scientific journals and books

Objectives: Currently available questionnaires have limited ability to measure physical activity (PA) using accelerometers as a gold standard. This study aimed to develop a PA questionnaire for middle-aged Japanese workers and propose a PA scoring system for predicting low moderate-to-vigorous PA (MVPA). Methods: A total of 428 participants (median age 49 years; 75.8% men) participated in a 7-day PA measurement using an accelerometer and a questionnaire. The association between questionnaire responses and low MVPA (Results: Five questionnaire items were used for measuring PA scores (range: 0-50; higher scores indicated a higher probability of low MVPA). The AUC was 0.741 (95% CI, 0.689-0.792), and the sensitivity and specificity at the optimal cut-off value were 66.7% and 68.2%, respectively. This predictive ability was slightly increased by body mass index (AUC 0.745 [95% CI, 0.693-0.796]; sensitivity 69.9%; specificity 66.9%). These predictive values were greater than those of conventional questionnaires used in health checkups in Japan (P < .05). Conclusions: This questionnaire-based PA scoring system showed moderate accuracy in predicting low MVPA. It is useful for screening physically inactive workers and promoting PA.

Aims: Malnutrition is prevalent among patients with heart failure (HF); however, the effects of coexisting malnutrition and frailty on prognosis are unknown. This study examines the impact of malnutrition and frailty on the prognosis of patients with HF. Methods and results: We examined 1617 patients with HF aged 65 years or older (age: 78.6 ± 7.4; 44% female) from a Japanese multicentre prospective cohort study. The nutritional status was evaluated using the Geriatric Nutritional Risk Index (GNRI), Controlling Nutritional Status (CONUT), and Mini Nutritional Assessment Short Form on discharge. Frailty was assessed using the criteria determined in a previous study on patients with HF. The prognostic impact of each nutrition measure on the risk of composite all-cause mortality and cardiac readmissions within 2 years of hospital discharge was assessed using Kaplan–Meier survival curves and Cox proportional hazards model analysis for non-frail and frail groups. Over 2324.2 person-years of follow-up, 88 patients died and 448 patients experienced readmission due to HF. In the non-frail group, poor nutritional status assessed using the GNRI and CONUT was associated with an increased hazard ratio (HR) of composite outcomes in the crude model; however, adjustment for potential confounders diminished the association. In the frail group, all three nutritional indicators were associated with the cumulative incidence of the study outcome (log-rank test, P < 0.05). In multivariate analysis, only the CONUT score was associated with an increased HR even after adjustment for confounders. Conclusions: The CONUT score predicted a poor prognosis in HF patients with coexisting physical frailty, highlighting the potential clinical benefit of nutritional assessment based on biochemical data for further risk stratification.

Background: Elderly patients with acute myocardial infarction (AMI) are a high-risk population for heart failure (HF), but the association between physical frailty and worsening prognosis, including HF development, has not been documented extensively.Methods and Results: As part of the FLAGSHIP study, we enrolled 524 patients aged ≥70 years hospitalized for AMI and capable of walking at discharge. Physical frailty was assessed using the FLAGSHIP frailty score. The primary outcome was a composite outcome of all-cause death and HF rehospitalization within 2 years after discharge. The secondary outcome was all-cause death and HF rehospitalization. After adjusting for confounders, physical frailty showed a significant association with an increased risk of the composite outcome (hazard ratio [HR]=2.09, 95% confidence interval [CI]: 1.03–4.22, P=0.040). The risk of HF rehospitalization increased with physical frailty, but the association was not statistically significant (HR=2.14, 95% CI: 0.84–5.44, P=0.110). Physical frailty was not associated with an increased risk of all-cause death (HR=1.45, 95% CI: 0.49–4.26, P=0.501).Conclusions: The findings suggest that physical frailty assessment serves as a stratifying tool to identify high-risk populations for post-discharge clinical events among ambulant elderly patients with AMI.