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GNRI And Conut Scores: Simple Predictors of Sarcopenia in Metastatic Colorectal Cancer Patients

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Abstract

Objective

To evaluate the correlation between sarcopenia and inflammation- and nutrition-based markers in metastatic colorectal cancer (mCRC) patients.

Materials and methods

Age, body mass index (BMI), neutrophil/lymphocyte ratio (NLR), modified Glasgow prognostic score (mGPS), prognostic nutrition index (PNI), cachexia index (CIn), skeletal muscle index (SMI), controlling nutritional status (CONUT) score, and geriatric nutritional risk index (GNRI) were evaluated in 185 patients. Ideal cut-off values for the GNRI score were determined with the ROC curve analysis, and the patients were divided into two groups as low and high GNRI. Sarcopenia was diagnosed using CT scanning, the gold standard method. Univariate and multivariate Cox proportional hazard analyses were done based on the above-listed parameters to assess the correlation between sarcopenia and changes in immuno-nutrition and inflammatory response. Kaplan–Meier analysis was also done to evaluate survival.

Results

Univariate analysis of the 185 patients based on the EGWSOP 2018 threshold values showed correlation between the presence of sarcopenia and male gender, diagnosed colon cancer, history of metastasectomy, BMI < 24, high mGPS score, PNI score ≥ 45, high CONUT score, and low GNRI score (p < 0.05). In multivariate analysis, low GNRI (HR: 2.40; 95% CI: 1.03–5.544; p = 0.040), and high-CONUT scores (HR: 2.01; 95% CI: 1.06–3.73; p = 0.029) were identified as independent prognostic factors for the presence of sarcopenia.

Conclusion

GNRI and CONUT scores are elementary and practical predictors for sarcopenia, a condition which is associated with poor outcomes in mCRC patients.

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Data availability

The authors confirm that the data supportting the findings of this study are available within the article. Row data that supportting the findings of this study are available from the corresponding author, upon reasonable request.

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Authors and Affiliations

  1. Department of Medical Oncology, Izmir Katip Celebi University, Ataturk Training and Research Hospital, Izmir, Turkey

    Zeynep Gülsüm Güç

  2. Department of Radiology, Dokuz Eylul University Medical Faculty, Izmir, Turkey

    Canan Altay & Hakan Abdullah Özgül

  3. Department of Biostatistics and Medical Informatics, Dokuz Eylul University Medical Faculty, Izmir, Turkey

    Hülya Ellidokuz

  4. Department of Medical Oncology, Institute of Oncology, Dokuz Eylul University, Izmir, Turkey

    Tuğba Yavuzşen

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  1. Zeynep Gülsüm Güç
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  2. Canan Altay
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  3. Hakan Abdullah Özgül
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  4. Hülya Ellidokuz
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  5. Tuğba Yavuzşen
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Contributions

Study concept: ZGG, TY. Study design: ZGG, TY. Data acquisition: ZGG, HAÖ, CA. Quality control of data: ZGG, HAÖ, CA. Data analysis and interpretation: ZGG, HAÖ, CA. Statistical analysis: ZGG, HE. Manuscript editing: ZGG, TY. Manuscript review: ZGG, TY.

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Correspondence to Zeynep Gülsüm Güç.

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The study was approved by the Institutional Review Board at the Izmir Dokuz Eylül University.

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All patients provided written informed consent to participate in the study.

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Patients signed informed consent regarding publishing their data.

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The authors declare no competing interests.

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Güç, Z.G., Altay, C., Özgül, H.A. et al. GNRI And Conut Scores: Simple Predictors of Sarcopenia in Metastatic Colorectal Cancer Patients. Support Care Cancer 30, 7845–7852 (2022). https://doi.org/10.1007/s00520-022-07218-9

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