The Utility of CONUT Score in Indolent Lymphoma Patients

Background and AimSimilar to the uncertainties in the treatment criteria for indolent non-Hodgkin lymphoma (iNHL), the prognostic criteria have not been fully clarified. The Controlled Nutritional Status (CONUT) score is not only used as a predictor of malnutrition but also indicates prognosis in ma...

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Veröffentlicht in:Nigerian journal of clinical practice 2023-09, Vol.26 (9), p.1290-1296
Hauptverfasser: Tiglioglu, M, Öztürk, H. A, Yildiz, A, Tiglioglu, P, Yilmaz, F, Aras, M, Albayrak, M
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Sprache:eng
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Zusammenfassung:Background and AimSimilar to the uncertainties in the treatment criteria for indolent non-Hodgkin lymphoma (iNHL), the prognostic criteria have not been fully clarified. The Controlled Nutritional Status (CONUT) score is not only used as a predictor of malnutrition but also indicates prognosis in many chronic or malignant diseases. The aim of this study is to investigate the predictive and prognostic significance of the CONUT score in patients with iNHL.Patients and MethodsA retrospective evaluation was made of 109 patients with iNHL. The CONUT scores of the patients were compared between those with an indication for treatment and those followed without treatment. The same analysis was performed between patients who developed relapse after treatment. Survival analysis was performed on all patients, and associations between survival and the CONUT score were examined.ResultsThe median CONUT score was found to be higher in those who had treatment indications compared to those who did not (2 vs 1; P = 0.014). In the regression model, a CONUT absolute value above 5 was found as an independent risk factor predicting relapse. In the whole study population, a CONUT absolute value >2 predicted the risk of mortality with 53.9% sensitivity and 68.7% specificity (AUC ± SE = 0.639 ± 0.07; +PV = 35%; -PV = 82.6%; P = 0.034).ConclusionCONUT score is a predictive and prognostic factor for patients with iNHL. The development of simple, low-budget prognostic and predictive biomarkers is critical not only for determining the course of the disease but also for follow-up and treatment management.
ISSN:1119-3077
2229-7731
DOI:10.4103/njcp.njcp_20_23