Background: Clinical indices such as the prognostic nutrition score (PNI) and controlling nutritional status (CONUT) at admission have been associated with prognosis in the intensive care phase of severe COVID-19. However, the association between these indices and prognosis is unknown in patients in the post-intensive care period.

Methods: The subjects were 132 patients discharged from the Osaka Corona Critical Care Center (a recuperative care facility for severe COVID-19 patients in the post-intensive care period) from December 2020 to June 2021. Multivariate analysis was performed to examine the association of prognosis with patient factors at admission, including clinical indices.

Results: Death after discharge occurred in 39 patients (29.5%). Multivariate analysis using factors that defined the cutoff for mortality in receiver operating characteristic (ROC) analysis showed that total lymphocyte count (TLC) (≤400/μL), albumin (Alb) (≤2.1 g/dL) CONUT (≥8), PNI (≤24.5), and dose calories (≤17.7 kcal/kg/day) were significantly associated with mortality. The strongest mortality-related factor was TLC (≤400/μL), with an odds ratio of 5.88 (95% CI: 2.26–15.3, p = 0.00028).

Conclusion: TLC, Alb, PNI, CONUT, and calorific value on admission to a recuperative care facility were prognostic factors in patients with severe COVID-19. These findings suggest the importance of nutritional management from the intensive care phase.

Objective: To investigate changes in body composition and the causes of lean body mass loss at one month after minimally invasive gastrectomy.

Subjects and Methods: The subjects were 88 patients who underwent minimally invasive surgical gastrectomy from April 2021 to August 2022 and had their body composition measured preoperatively and postoperatively. The median percentage lean body mass loss of 2.4% at one month postoperatively was used as the cutoff to define groups with low (n = 46, ≤2.4%) and high (n = 42, >2.4%) lean body mass loss. Multiple regression analysis was performed with postoperative lean body mass loss as the dependent variable to examine factors affecting lean body mass loss.

Results: The percentage changes one month after surgery in the low and high lean body mass loss groups were –5.4% and –7.1% for body weight, and –16.3% and –13.9% for body fat amount. In multiple regression analysis, preoperative body fat percentage (p < 0.01) was identified as a significant variable.

Conclusion: Preoperative low body fat percentage was a significant risk factor for lean body mass loss at one month postoperatively and this factor requires preoperative intervention.