AUTHOR=Chen Qiuni , Chen Kankan , Wang Sumei , Zhang Lijuan , Shi Yuye , Tao Shandong , He Zhengmei , Wang Chunling , Yu Liang TITLE=Prognostic value of the controlling nutritional status score in patients with myelodysplastic syndromes JOURNAL=Frontiers in Nutrition VOLUME=9 YEAR=2022 URL=https://www.frontiersin.org/journals/nutrition/articles/10.3389/fnut.2022.902704 DOI=10.3389/fnut.2022.902704 ISSN=2296-861X ABSTRACT=Background

Myelodysplastic syndromes (MDS) are a heterogeneous spectrum of clonal hematopoietic disorders with varying degrees of cytopenia and morphologic dysplasia. The controlling nutritional status (CONUT) score, an easy-to-use tool for assessing the nutritional status, was reported as an independent prognostic factor in cancer patients. However, its role in patients with MDS is unclear.

Objective

We aimed to explore the impact of CONUT score on the prognosis of patients with MDS, which is of great significance for clinical treatment.

Methods

A total of 121 patients with MDS were analyzed. The CONUT score was calculated prior to therapy. The bio-informatics tool X-tile was used to define the CONUT score and the threshold of 4 points was determined to predict the prognosis. Patients were divided into CONUTlow and CONUThigh groups, and the characteristics were compared between two groups.

Results

Results show that CONUTlow was associated with better overall survival (OS) than CONUThigh patients (Median OS, 30.20 vs. 19.63 months, p = 0.0003). However, there were no statistical differences in progression-free survival (PFS) between the two groups (p = 0.2683). Results of univariate and multivariate COX proportional hazard analysis adjusted for bone marrow blasts level, platelet count, International Prognostic Scoring System (IPSS) scores, gender, and hemoglobin (Hb) level showed that the CONUT score was useful in the evaluation standard of OS of MDS (hazard ratio (HR) 2.297, 95% CI 1.441–3.663, p < 0.001).

Conclusions

The CONUT, as a novel immuno-nutritional biomarker, may be useful in predicting the OS of MDS.