Abstract Background and Aims Renal rehabilitation is important for keeping quality of life and kidney function of patients with CKD. Psoas muscle is representative of total body muscle and its cross-sectional area divided by squared height (PMI) is known to be associated with CKD prognosis. However, the selection of the slice of computer tomography (CT) used for calculation of PMI is arbitrary and may be a source of bias. Recently, AI technology using raw helical CT data has facilitated the measurement of total volume of the psoas major muscle (PMV), which is theoretically less biased by measurer. The aim of this study is to investigate the association between PMV and the progression of CKD. Method This is a pilot retrospective observational study using electrical health records (EHR) in Hyogo Prefectural Nishinomiya Hospital, Japan. We extracted patients with CKD who had taken abdominal CT in 2021 by nephrologists for evaluation of urological anatomy or clinical reasons. PMV was automatically extracted and measured by SYNAPSE VICENT (Fuji Film Medical), a commercially available software. Baseline laboratory data and patient characteristics were collected through EHR with a margin of 90 days from CT scan. The outcome of CKD progression was defined as a 40% decrease in eGFR from baseline. Survival analysis was performed by using the Cox proportional hazards model. Results We enrolled 145 consecutive CKD patients and excluded 37 whose observation period was less than 90 days. PMV was significantly greater in male than in female, positively associated with younger age and higher body mass index (BMI). PMV adjusted for age, sex, and BMI (adjPMV) decreased in a stepwise manner as baseline CKD stage advanced from G2 (N = 23) to G3b (N = 18) but was comparable in G4 (N = 37) and G5 (N = 6). The subjects were then divided into two groups (High-PMV and Low-PMV) according to whether their adjPMV were greater or less than the median value in each CKD stage. The High- and Low-PMV groups were comparable in age (71 ± 13 vs. 72 ± 13), female sex (42% vs. 45%), eGFR (41 ± 21 vs. 42 ± 22), urinary albumin-to-creatinine ratio (UACR), CRP, the prevalence of diabetes at baseline, respectively. PMI and PMV were significantly greater in High-PMV than in Low-PMV group (7.7 ± 1.8 vs. 5.8 ± 1.6 and 307 ± 110 vs. 205 ± 64, respectively). During the median follow up of 1.6 years, 40 events occurred. Hazards ratio for CKD progression was significantly lower in High-PMV group (0.48 [95% confidence interval: 0.25-0.95]) than Low-PMV group after adjusting for known risk factors (age, sex, eGFR, and UACR). Conclusion Preserved psoas muscle volume measured by a theoretically less biased method may be associated with better prognosis in CKD. A larger study in a different cohort, longitudinal observation, and interventional studies are warranted for future investigation.
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