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Nomogram Based on a Novel Nutritional Immune-inflammatory Status Score to Predict Postoperative Outcomes in Esophageal Squamous Cell Carcinoma

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Date 2025 Jan 29
PMID 39877711
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Abstract

Background: The relationship between patient nutritional, immune, and inflammatory status is linked to tumor progression and prognosis. However, there are limited studies on the prognosis of esophageal squamous cell carcinoma (ESCC) after surgery based on the comprehensive indicators of these factors.

Aim: To develop and validate a novel nomogram based on a nutritional immune-inflammatory status (NIIS) score for predicting postoperative outcomes in ESCC.

Methods: This retrospective study examined 829 patients with ESCC who underwent radical surgery between June 2016 and June 2020, with 568 patients in the training cohort and 261 patients in the validation cohort. We incorporated comprehensive indicators related to nutrition, immunity, and inflammation to develop the NIIS score, using LASSO regression. Subsequently, a nomogram combining the NIIS score and other clinicopathological parameters was developed and validated using calibration curves, time-dependent area under curves, and decision curve analysis.

Results: We identified eight indicators that constitute the NIIS score. High-risk scores emerged as an independent risk factor for overall survival [training set HR 2.497 (1.802, 3.458), < 0.001]. A NIIS nomogram for personalized prognostic prediction was developed by integrating the NIIS score with clinicopathological variables, yielding enhanced predictive value relative to individual indicators and the UICC/TNM staging system.

Conclusion: The NIIS score provides strong predictive value for postoperative outcomes in ESCC, thus offering a valuable tool for clinical decision-making.

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