Prediction of postoperative length of stay by the Mini Nutritional Assessment Short-Form for rectal cancer
Year: 2026
Type: preprint
Abstract: Background Malnutrition is common in rectal cancer patients and may affect surgical outcomes. Prolonged length of hospital stay may result in decreased activity after discharge, suggesting the importance of the early identification of malnutrition. The Mini Nutritional Assessment Short-Form (MNA-SF) is non-invasive and may be useful for screening malnutrition in rectal cancer patients. Methods This observational study examined 153 patients who underwent curative surgery for rectal cancer. The preoperative nutritional status was evaluated using the MNA-SF, which categorized patients into the Normal (score: 12–14), Risk of malnutrition (score: 8–11), and Malnourished groups (score: 0–7). The postoperative length of stay was examined using a multiple regression analysis with the stepwise method. Results Ten patients (6.5%) were classified as the Malnourished group. The multiple regression analysis identified the Malnourished group (β = 0.20, p = 0.006), postoperative complications (β = 0.32, p < 0.0001), operative time (β = 0.32, p = 0.01), stoma creation (β = 0.20, p = 0.01), and open surgery (β = 0.12, p = 0.02) as independent predictors of a prolonged postoperative length of stay (R 2 = 0.48). Conclusions Preoperative MNA-SF of 0–7 was an independent predictor of a prolonged postoperative length of stay for rectal cancer. Early nutritional screening may provide an opportunity for timely interventions to facilitate postoperative recovery.
Source: Research Square
Authors: Kentaro Abe, Hiroaki Nozawa, Shinya Abe, Yuzo Harada, Shunsuke Hori, Yusuke Taguchi, Yumi Yokota, Daiki Kato, Mitsutaka Yakabe, Koji Murono, Shigenobu Emoto, Yuichiro Yokoyama, Yuzo Nagai, Keiichi Arakawa, Takahide Shinagawa, Yuichi Tachikawa, Satoshi Okada, Hiroshi Shiratori, Sumito Ogawa, Masahiro Akishita, Soichiro Ishihara
Language: English
Subfield: Physiology (medical)
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7225739291
