Background/aim: To elucidate the relationship between metabolic syndrome (Mets) and somatic composition [fat mass, fat-free (FF) mass, and fat to fat-free (F-FF) ratio] among health checkup recipients (7,776 males and 10,121 females).
Patients And Methods: We classified study subjects into four types considering Japanese criteria for Mets; Type A is for males with waist circumference (WC) <85 cm and females with WC <90 cm, Type B is for males with WC ≥85 cm and females with WC ≥90 cm, but without any metabolic abnormalities, Type C is for males with WC ≥85 cm and females with WC ≥90 cm and one metabolic disorder (pre-Mets), and Type D is Mets. We compared baseline characteristics among types of A, B, C, and D.
Background And Aims: We aimed to clarify the relationship between alanine aminotransferase (ALT) level and body composition in Japanese medical health checkups, especially in cases with ALT ≤ 30 IU/L (7569 men and 9497 women).
Methods: We categorized our study cohort into four groups: type A (ALT value ≤ 10 IU/L), type B (11 ≤ ALT value ≤ 20 IU/L), type C (21 ≤ ALT value ≤ 30 IU/L) and type D (ALT value > 30 IU/L (ALT over 30)). We retrospectively compared body composition-related parameters (body mass index (BMI), waist circumference (WC), fat (F) index, fatty liver index (FLI), fat-free (FF) index and F-FF ratio) among the four types.
Aims: To elucidate the relationship between fatty liver index (FLI) and somatic composition among health checkup recipients (4533 men and 4877 women).
Methods: Fat (F) index, fat-free (FF) index, and fat mass to fat-free mass (F-FF) ratio was measured by bioimpedance analysis. Skeletal muscle mass (SMM) loss was defined as FF index <18 kg/m in men and FF index <15 kg/m in women.
Background/aim: To examine the relationship between the body surface area (BSA) and body composition in patients with metabolic dysfunction-associated steatotic liver disease (MASLD, 2,141 men and 986 women).
Materials And Methods: BSA and body composition parameters were examined.
Results: The median body mass index (BMI) was 25.
Aim: To examine the relationship between changes in alanine aminotransferase (ALT) and those in body composition and metabolic factors in participants receiving medical health checkups (4350 men [mean age 52.5 years] and 5398 women [mean age 50.5 years]) METHODS: We divided the participants into four types based on their ALT value at baseline and 1 year: A, ALT ≤30 (baseline) and ≤30 (1 year); B, ALT ≥31 (baseline) and ≤30 (1 year); C, ALT ≤30 (baseline) and ≥31 (1 year); and D, ALT ≥31 (baseline) and ≥31 (1 year).
View Article and Find Full Text PDFWe sought to determine the long-term outcomes of chronic hepatitis B (CHB) cases switching to tenofovir alafenamide (TAF, = 104, median age = 63.5 years). Data at switching to TAF (baseline) and those at 1, 2, 3, 4, and 5 years from switching to TAF were compared.
View Article and Find Full Text PDFThe Prognostic Nutritional Index (PNI) is widely recognized as a screening tool for nutrition. We retrospectively examined the impact of PNI in patients with chronic liver disease (CLD, = 319, median age = 71 years, 153 hepatocellular carcinoma (HCC) patients) as an observational study. Factors associated with PNI < 40 were also examined.
View Article and Find Full Text PDFThe purpose of this study was to clarify the relationship between the Suita score (a prediction model for the development of cardiovascular disease) and body composition in Japanese health check-up subjects (6873 men and 8685 women). The Suita score includes 8 items (age, gender, smoking, diabetes, blood pressure, low-density lipoprotein, high-density lipoprotein, and chronic kidney disease). Factors associated with the Suita score within body composition-related parameters (body mass index (BMI), waist circumference (WC), fat mass index, fat-free mass index, fat mass to fat-free mass ratio (F-FF ratio), and water mass index) as assessed by bioelectrical impedance analysis were examined.
View Article and Find Full Text PDFWe sought to investigate the relationship between insulin resistance (IR) and body composition as assessed by bioelectrical impedance analysis in Japanese health check-up recipients (1186 men and 1441 women). IR was defined as a Homeostasis Model Assessment of IR (HOMA-IR) ≥ 2.5.
View Article and Find Full Text PDFWe sought to examine body composition using bioimpedance analysis in patients with metabolic dysfunction-associated fatty liver disease (MAFLD, 2014 males and 949 females). Factors linked to the fat-free mass index (FF index) were examined using univariate and multivariate analysis. An FF index < 18 kg/m in males and an FF index < 15 kg/m in females were defined as having decreased skeletal muscle mass.
View Article and Find Full Text PDFSARC-F is a well-accepted screening tool for sarcopenia. A SARC-F value of 1 point is reported to be more discriminating in identifying sarcopenia than 4 points (recommended cutoff point). The prognostic impact of the SARC-F score was investigated in patients with liver disease (LD, = 269, median age = 71 years, 96 hepatocellular carcinoma (HCC) cases).
View Article and Find Full Text PDFAim: To elucidate factors contributing to hepatitis B virus (HBV)-DNA clearance following tenofovir alafenamide (TAF) therapy in nucleoside analogue (NA) naïve patients with chronic hepatitis B (CHB) (n=92, 11 cirrhotic cases).
Patients And Methods: The time interval between the start of TAF therapy and first confirmed undetectable HBV-DNA after TAF therapy was calculated. Univariate and multivariate analyses of factors related to undetectable HBV-DNA after TAF therapy were performed.
We sought to clarify the relevance in the neutrophil to lymphocyte ratio (NLR) and the SARC-F score in patients with gastrointestinal diseases (G-Ds, n = 672, median age = 73 years). Univariate and multivariate analysis for the SARC-F score were performed. Advanced malignancy was identified in 162 patients (24.
View Article and Find Full Text PDFWe sought to examine the relationship between the SARC-F score and the Controlling Nutritional Status (CONUT) score in patients with gastrointestinal diseases (GDs, = 735, median age = 71 years, and 188 advanced cancer cases). The SARC-F score ≥ 4 (highly suspicious of sarcopenia) was found in 93 cases (12.7%).
View Article and Find Full Text PDFWe sought to elucidate the prognostic impact of the SARC-F score among patients with gastrointestinal advanced malignancies ( = 421). A SARC-F score ≥ 4 was judged to have a strong suspicion for sarcopenia. In patients with ECOG-PS 4 ( = 43), 3 ( = 61), and 0-2 ( = 317), 42 (97.
View Article and Find Full Text PDFSARC-F is a screening tool for sarcopenia. We sought to compare the SARC-F scores of patients with different gastrointestinal diseases ( = 1282 (762 males): upper gastrointestinal disease (UGD, = 326), lower gastrointestinal disease (LGD, = 357), biliary and pancreatic disease (BPD, = 416), and liver disease (LD, = 183)). Factors associated with SARC-F ≥4 points (highly suspicious of sarcopenia) were also examined.
View Article and Find Full Text PDF