Inflammatory-nutrition scores help predict survival in new multiple myeloma

For patients with newly diagnosed multiple myeloma (NDMM), a histogram based on the nutrition-inflammation score (INS) can help predict survival, according to a study published online. online January 5 in the magazine Journal of Inflammatory Research.

Limei Zhang, Ph.D., from Sun Yat-sen University Cancer Center in Guangzhou, China, and colleagues conducted a retrospective analysis of baseline laboratory and clinical data for 442 patients with NDMMs were randomly divided into training and validation groups in one study. Ratio 8:2 to evaluate the prognostic value of nutritional parameters and pretreatment inflammatory status to predict overall survival. The INS was formulated with six inflammatory/nutritive variables, including nutritional risk index, body mass index, neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, and platelet ratio -lymph and albumin-alkaline phosphatase ratio. INS has been merged with performance status, lactate dehydrogenaseage and C-reactive protein to generate a histogram model to optimize predictions.

The researchers found that this model had good predictive performance, with a C index of 0.708 and 0.749 in the training and validation cohorts, respectively. Excellent consistency between predicted and observed survival was demonstrated for both cohorts in the calibration curves. Histogram model exhibits better performance than other staging systems for many myeloma in time-dependent receiver performance curve analysis.

“INS-based nomenclature exhibits good predictive accuracy and discriminatory power, suggesting that it can aid in predicting individual survival probabilities in patient with NDMM,” the authors write.

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