# Nutritional trajectories in gastric cancer patients with early oral feeding

## TL;DR

This study identifies different nutritional patterns in gastric cancer patients after surgery and finds that certain risk factors predict poor nutritional outcomes.

## Contribution

The study introduces a novel approach using trajectory modeling to analyze nutritional changes in gastric cancer patients under early oral feeding.

## Key findings

- Three nutritional trajectory patterns were identified: high nutritional status, rapidly declining, and decline-recovery.
- Functional impairment and advanced cancer stages were linked to unfavorable nutritional trajectories.
- Baseline Prognostic Nutritional Index (PNI) varied significantly between trajectory groups.

## Abstract

Evidence on postoperative nutritional dynamics in Chinese gastric cancer (GC) patients is currently limited. This study employs Group-Based Trajectory Modeling (GBTM) to identify Prognostic Nutritional Index (PNI) trajectory patterns and their factors among GC patients under early oral feeding (EOF) management.

This retrospective study analyzed 124 GC patients undergoing total gastrectomy (2019–2024). PNI trajectories were identified using GBTM, and their associated factors were analyzed via multinomial logistic regression.

Three distinct trajectories emerged: “High nutritional status” (41.9%), “Rapidly declining” (7.3%), and “Decline-Recovery” (50.8%). Compared with the high nutritional status (49.99 ± 4.50), the baseline PNI of the decline-recovery group was lower (44.34 ± 3.57). High Morse Fall Scale (MFS) score (β = 0.092, p = 0.010), low activities of daily living (ADL) (β = −0.655, p = 0.009), AJCC Cancer Stage (β = 2.238, p = 0.002) and vascular and nerve invasion (β = 3.540, p < 0.001) influence unfavorable trajectories.

Postoperative nutritional trajectories in GC patients managed with EOF are different. Functional impairment (e.g., low ADL, high MFS) and advanced pathological conditions were key determinants of unfavorable nutritional trajectories highlighting the need for targeted monitoring and individualized nutritional interventions for high-risk sub-groups.