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NUTRISCORE: A Novel Nutrition-Based Nomogram to Predict Severe Neutropenia After Adjuvant Chemotherapy in Gastric Cancer

delete2026-07-03
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PRE
AI
C
Chun Gao
L
Li Zhu
Y
Yi Xin Tong
S
Sheng Zhang
DOI:10.1177/15347354261447851delete
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Abstract

Abstract

En 中文
<jats:sec> <jats:title>Background:</jats:title> <jats:p>To develop and validate a clinically applicable nomogram (NUTRISCORE) predicting severe neutropenia (Grade 3/4) across cycles 2 to 8 of adjuvant chemotherapy in gastric cancer.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods:</jats:title> <jats:p>This retrospective cohort study analyzed 391 patients receiving postoperative adjuvant chemotherapy (CAPEOX/XELOX/SOX) following curative laparoscopic D2 gastrectomy. Cohorts were stratified into derivation (n = 318; 1518 cycles) and validation (n = 73; 356 cycles) sets. Generalized Estimating Equations (GEE) were used to account for within-patient correlation of multiple cycles. Multivariable logistic regression identified independent predictors, with subsequent nomogram construction using R. Model performance was quantified through AUC-ROC and decision curve analysis (DCA).</jats:p> </jats:sec> <jats:sec> <jats:title>Results:</jats:title> <jats:p> Four predictors emerged: age &gt; 60 years (OR = 2.1, <jats:italic toggle="yes">P</jats:italic>  &lt; .01), prealbumin ≤ 180 mg/L (OR = 3.4, <jats:italic toggle="yes">P</jats:italic>  = .002), PNI &lt; 45 (OR = 2.8, <jats:italic toggle="yes">P</jats:italic>  = .008), and prior cycle neutropenia (OR =4.7, <jats:italic toggle="yes">P</jats:italic>  &lt; .001). The nomogram achieved AUCs of 0.825 (95% CI 0.789-0.860) and 0.810 (0.783-0.835) in derivation and validation cohorts, with DCA confirming clinical utility across threshold probabilities (4%-65% in derivation, 3%-63% in validation), supporting its use for guiding G-CSF prophylaxis at clinically relevant risk thresholds (&gt;15%). </jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions:</jats:title> <jats:p>We establish a nutrition-centric predictive tool for severe neutropenia, demonstrating robust accuracy in stratifying chemotherapy toxicity risk. This model directly informs personalized prophylactic strategies, warranting prospective multicenter validation.</jats:p> </jats:sec>

Journal

Integrative Cancer Therapies cover
Integrative Cancer Therapies
IF:
2.8
Papers:
171
Citations:
3.5K

Organization

H
huazhong university of science and technology
Scholars:
2.3W
Papers: 7.2K
Citations: 5
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