Modified controlling nutritional status score: A refined prognostic indicator depending on the stage of gastric cancer
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Анотація
Background: The role of controlling nutritional status (CONUT) score in predicting cancer survival remains uncertain. This study aimed to investigate the predictive value of the CONUT score and to develop a more appropriate scoring system beyond CONUT for gastric cancer.
Methods: We retrospectively reviewed 1307 patients who underwent curative gastrectomy between 2009 and 2015. The CONUT and three modified scores with modified lipid components (L-CONUT: albumin/total lymphocyte count [TLC]/low density lipoprotein, H-CONUT: albumin/TLC/high density lipoprotein, and T-CONUT: albumin/TLC/triglyceride) were calculated. The predictive value of each scoring system on long-term survival was assessed.
Results: The values of the four nutritional scores were categorized into four groups (normal, light, moderate, and severe). The CONUT (P < 0.001), L-CONUT (P < 0.001), H-CONUT (P < 0.001), and T-CONUT (P < 0.001) scores showed significant differences in overall survival in between groups. Survival analysis according to the pathological stage showed that advanced age, Eastern Cooperative Oncology Group performance status, male sex, and moderate H-CONUT score (HR, 3.970; 95% CI, 1.826-8.633; P = 0.001) were independent worse prognostic factors for overall survival in the stage I group. In the stage II group, light CONUT score (HR, 2.230; 95% CI, 1.067-4.664; P = 0.033) and moderate CONUT score (HR, 5.077; 95% CI, 1.647-15.650; P = 0.005) were significantly associated with poor prognosis. In the stage III group, no scoring system showed significant results.
Conclusion: In advanced gastric cancer (beyond stage II), the prognostic impact of the nutritional scoring system was uncertain. However, the H-CONUT score is a promising indicator of prognosis in stage I, and the CONUT score is useful for predicting long-term survival in stage II gastric cancer.
Keywords: Nutritional status; Stomach neoplasms; Survival analysis.
