BACKGROUND: Recent reports showed neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR), as a predictor of progression-free survival (PFS) and overall survival (OS) in various malignancies. MATERIALS AND METHODS: We retrospectively examined the PLR, NLR, and MLR in a cohort of 186 newly diagnosed multiple myeloma (MM) patients. This study investigated the prognostic relevance of NLR, PLR, and MLR in MM patients. NLR, PLR, and MLR were calculated from whole blood counts before therapy. The Kaplan–Meier curves and multivariate Cox models were used for the evaluation of survival. RESULTS: Applying cutoff of 1.9 (NLR), 120.00 (PLR), and 0.27 (MLR), decreased PLR showed a negative impact on the outcome. Decreased PLR is an independent predictor for PFS and OS. There were no significant differences in median survival between the high and low NLR (P = 0.80) and MLR (P = 0.87) groups. CONCLUSIONS: In this study, thrombocytopenia and low PLR are associated with poor survival in MM patients does this P value apply to thrombocytopenia or low PLR and may serve as the cost-effective prognostic biomarker.

Introduction In multiple myeloma cases, a variety of prognostic parameters have been identified, which contain the Durie‐Salmon classification and the international staging system (ISS) that takes the serum ß2 microglobulin and albumin levels, platelet‐to‐lymphocyte ratio (PLR), neutrophil‐to‐lymphocyte ratio (NLR), and monocyte‐to‐lymphocyte ratio (MLR). This study investigates the effect of haemoglobin, albumin, lymphocyte and platelet (HALP) score which is a marker of inflammation status and nutrition, at the time of diagnosis for the patients with multiple myeloma on prognosis. Methods A total of 200 multiple myeloma patients with HALP scores calculated from serum haemoglobin, albumin, lymphocyte count and platelet levels at the time of diagnosis were retrospectively examined. The effect of HALP score on overall survival (OS) and progression‐free survival and its relationship between the previously evaluated prognostic parameters were investigated. Results The optimal cut‐off value with the ROC curves for the HALP score was 28.8. The patients were divided into two groups according to the optimal value of the HALP score (low‐score group: HALP ≤28.8 [n: 134] and high‐score group HALP >28.8 [n: 66]). In the group with the high HALP score, the OS was statistically longer than the low HALP score group (84 months and 53 months; p = 0.0001). In addition, when the effects of NLR, PLR, HALP score and ISS stage on OS were examined by multivariate analysis, all these markers were found to be statistically significant predictors. Conclusions HALP score may be a valuable prognostic marker for patients with multiple myeloma.

Background: The objective of this study is to examine the association between the Geriatric Nutritional Risk Index (GNRI) and overall mortality in this population. Methods: GNRI values were calculated by using the serum albumin levels and body weight and the GNRI variability reflects the changes in GNRI change slopes in the follow-up.Results: GNRI values showed a decrease from the median baseline GNRI of 106.3 (IQR, 95.0,113.4) to 98.4 (interquartile range [IQR], 91.9108.9) (p < 0.001). The median GNRI variability was 4.7 (IQR, 2.5, 10.3). Both baseline GNRI levels (adjusted odds ratio [OR]: 0.96, 95% confidence interval [CI]: 0.93, 0.99, p = 0.04) and more profoundly GNRI variability (adjusted OR: 1.23, 95% CI: 1.01, 1.44, p = 0.03) were independently associated with mortality. Conclusion:The monitorization of the changes in GNRI values as a variability index is an easy tool that might improve the predictive accuracy of mortality in peritoneal dialysis patients.

Background Galactose-deficient IgA1 (Gd-IgA1) has an increased tendency to form immunocomplexes with IgG in the serum, contributing to IgAN pathogenesis by accumulating in the glomerular mesangium. Several studies showed that glomerular IgG deposition in IgAN is an important cause of mesangial proliferation and glomerular damage. This study aims to determine the association of the positivity of IgG and the intensity of IgG staining with a poor renal prognosis. Methods A total of 943 IgAN patients were included in the study. Glomerular IgG staining negative and positive patients were compared using Oxford classification scores, histopathological evaluations, proteinuria, eGFR, albumin, blood pressures. IgG positive patients were classified as (+), (++), (+++) based on their staining intensity, and the association with the prognostic criteria was also evaluated. Results 81% (n = 764) of the patients were detected as IgG negative, while 19% (n = 179) were positive. Age, gender, body mass index, blood pressure, proteinuria, eGFR, uric acid values were similar in IgG positive and negative patients who underwent biopsy (p > 0.05). Intensity of glomerular IgG positivity was not found to be associated with diastolic and systolic blood pressure, urea, uric acid, age, eGFR, albumin, proteinuria (p > 0.05 for all, r = − 0.084, r = − 0.102, r = − 0.006, r = 0.062, r = 0.014, r = − 0.044, r = − 0.061, r = − 0.066, r = 0.150, respectively). There was no difference for histopathological findings between IgG (+), IgG (++), IgG (+++) groups (for all, p > 0.05). Conclusion Glomerular IgG negativity and positivity detected by routine IFM in IgAN patients is not associated with poor renal prognostic risk factors.

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