Is RDW a clinically relevant prognostic factor for newly diagnosed multiple myeloma? A systematic review and meta-analysis

Red Cell Distribution Width at Diagnosis Reflects Advanced Disease While Dynamic Changes Predict Survival at Relapse in Multiple Myeloma: A Retrospective Study

Introduction Multiple myeloma (MM) is a complex plasma cell malignancy characterized by clonal proliferation and monoclonal immunoglobulin production. Despite the availability of several prognostic markers for MM, many are challenging to implement routine clinical practice due to cost, complexity, or lack of standardization. Red cell distribution width (RDW), a cost-effective and routinely measured parameter in complete blood counts, has gained increasing attention as a prognostic marker due to its association with disease severity and outcomes in MM. This study investigates the prognostic utility of RDW in MM, focusing on its relationship with patient outcomes, particularly in those undergoing autologous stem cell transplantation (ASCT). Methods This retrospective study included 218 patients diagnosed with MM between 2010 and 2018. Demographic, clinical, and laboratory data, including RDW levels at ASCT and first relapse, were collected. Patients were stratified into high (>16.5%) and low (≤16.5%) RDW groups. The impact of RDW levels and their changes on progression-free survival (PFS) and overall survival (OS) were analyzed using Kaplan-Meier and log-rank tests. Results Higher RDW levels at diagnosis were significantly associated with advanced disease stages, notably R-ISS stage 3 (p=0.022). While no significant survival differences were observed based on baseline RDW levels, dynamic changes in RDW from diagnosis to first relapse were strongly prognostic. Patients maintaining low RDW had the longest PFS (37 months) and OS (88.8 months), whereas those transitioning from low to high RDW experienced the shortest PFS (nine months) and OS (40.6 months). At relapse, patients with low RDW demonstrated superior outcomes (PFS: 34 vs. 14 months, OS: 81.2 vs. 40.6 months; p<0.001). ASCT markedly improved survival outcomes, with longer PFS (p=0.028) and OS (p<0.001). Higher hemoglobin levels (>10 g/dL) were also associated with extended PFS (p=0.038). Reassessing RDW prior to ASCT did not yield significant differences, suggesting that the prognostic value of RDW lies in its dynamic changes, particularly around relapse events. Conclusions RDW levels at diagnosis reflect advanced disease stages in MM but are not independent predictors of survival. However, dynamic changes in RDW, particularly from diagnosis to relapse, highlight its potential as a robust marker for monitoring disease progression and relapse risk. ASCT remains a cornerstone of MM management, significantly improving survival outcomes and complementing RDW trends in prognosis. Standardizing RDW thresholds and integrating its dynamic trends into clinical workflows could enhance risk stratification and personalized treatment strategies. Prospective, multi-center trials are essential to validate these findings and establish RDW's role in comprehensive prognostic frameworks for MM.

Calculated haemorheological profile and laboratory parameters in new diagnosed multiple myeloma patients: retrospective analysis according to survival

Background

Multiple myeloma is a malignant haematological neoplasm characterised by clonal proliferation of plasma cells, with a complex clinical picture, and a significant impact on patient survival, in which the prognosis evaluation of patients is of great importance.

Objectives

In this single-centre retrospective analysis, performed in a group of newly diagnosed multiple myeloma patients, we examined several clinical and laboratory parameters in order to evaluate their trend according to survival of patients.

Design

We collected data from 190 newly diagnosed multiple myeloma evaluated at the Hematology Division of the 'Paolo Giaccone' University Hospital of Palermo from 1 January 2017 to 30 September 2022. Specifically, we performed our analysis in the entire cohort of patients and also in the specific disease isotype.

Methods

We evaluated simple and low-cost laboratory and haemorheological parameters, the latter obtained in a calculated way. The primary endpoint was to evaluate the trend and the differences of these parameters in the study population, divided into two specific groups, deceased and survivors after a specific observation period of almost 7 years.

Results

In the entire cohort of multiple myeloma patients, we observed a mortality rate of 40%, of whom 36.4% were men and 43.1% were women. Among the patients who died, in comparison with those who survived, it is significantly evident the increase in age, in red cell distribution width (RDW), RDW%/albumin ratio and in the RDW%/haemoglobin ratio; moreover, in the same patients subgroup, we observed a reduction in haematocrit, total serum protein, calculated whole blood viscosity (evaluated according to the de Simone formula), serum albumin, albumin/fibrinogen ratio and in haemoglobin levels.

Conclusion

The obtained data can represent a possible starting point for subsequent targeted analyses, aimed at studying the prognostic value of each individual parameter considered, favouring an increasingly complete and immediate prognostic evaluation of patients.

Optimal cut-off values and diagnostic significance of clinical laboratory indicators in newly diagnosed multiple myeloma

OBJECTIVE

This study aims to identify clinical laboratory parameters for the diagnosis of newly diagnosed multiple myeloma (NDMM), establish optimal cutoffs for early screening, and develop a diagnostic model for precise diagnosis.

METHODS

The study conducted a retrospective analysis of 279 NDMM patients and 553 healthy subjects at Zhejiang Province People's Hospital between January 2008 and June 2023. Multifactor LR was employed to explore clinical laboratory indicators with diagnostic value for NDMM, determine optimal cutoff values and contract a diagnostic model. The diagnostic efficacy and clinical utility were evaluated using receiver operating characteristic curves (ROC), sensitivity, specificity, and other indicators.

RESULTS

Multifactor analysis revealed that hemoglobin (Hb), albumin (Alb), and platelet distribution width (PDW) were significant diagnostic factors for NDMM. Optimal cutoff values for Hb, Alb, and PDW in MM diagnosis were determined, and the results showed a significant increase in the probability of NDMM diagnosis when Alb was below 39.3 g/L, Hb was below 11.6 g/dL, and PDW was below 14.1 fL. The diagnostic model constructed from the development cohort demonstrated a high area under the ROC curve of 0.960 (95% CI 0.942-0.978) and exhibited good sensitivity (0.860), specificity (0.957). The area under the curve (AUC) value of the diagnostic model in the external validation cohort was 0.979, confirming its good diagnostic efficacy and generalization.

CONCLUSIONS

The optimal cutoff values for Hb, Alb, and PDW and the diagnostic model designed in the study provided good accuracy and sensitivity for the initial screening and diagnosis of NDMM.

Red blood cell distribution width is a useful biomarker to predict bleeding and thrombosis risks in patients with immune thrombocytopenic purpura

Bleeding and thrombosis are common complications during immune thrombocytopenic purpura (ITP) treatment. There is a strong need to predict bleeding and thrombosis risks before ITP treatment to optimize therapy and appropriately manage these complications. We performed a retrospective cohort study of 120 patients with primary ITP to identify a biomarker to predict bleeding and thrombosis. We compared blood test results at diagnosis between patients with and without bleeding or thrombosis episodes. The standard deviation of red blood cell distribution width (RDW-SD) differed significantly between those with and without bleeding and between those with and without thrombosis, leading us to identify it as a variable representative of risk. RDW-SD was significantly associated with patient age and with histories of several vascular diseases. Multivariate regression analyses showed that RDW integrated several variables associated with vascular risks. RDW-SD was significantly associated with difficulty with corticosteroid discontinuation (hazard ratio [HR], 2.22, p = 0.01), incidence of bleeding (HR, 2.75, p< 0.01), incidence of thrombosis (HR, 2.67, p< 0.01) and incidence of infection (HR, 1.78, p = 0.04). The RDW-SD value at the time of ITP diagnosis is a useful biomarker to predict the risks of bleeding, thrombosis, and other complications.

Changes in RDW according to prognostic predictors in newly diagnosed multiple myeloma

RDW is an erythrocyte index that increase in multiple myeloma, in which it appears to have an important role in predicting outcome. For this reason, we performed a retrospective analysis to evaluate the relationships of RDW with some important prognostic predictors. Specifically, in a cohort of 190 newly diagnosed multiple myeloma patients, we have examined the behaviour of RDW and its trend in relation to the ISS stage and other prognostic factors, such as albumin, beta-2 microglobulin, LDH and bone marrow plasma cell infiltration. We performed the analysis in the entire cohort of patients and in the three different disease isotypes (Light chain, IgA, and IgG multiple myeloma). The evaluation of RDW in the different isotypes was made with the Kruskal-Wallis test, integrated by the Dunn test. The comparison between the subgroups allocated above and below the median value of each prognostic factor, was made with the Mann-Whitney test. From our analysis, we observed that RDW is higher in the IgA multiple myeloma, and it increases significantly from ISS I to III. Moreover, RDW increases in the presence of lower albumin values, higher levels of beta2-microglobulin and LDH and in the presence of a greater bone marrow plasma cell infiltrate.

Association of mean RDW values and changes in RDW with in-hospital mortality in ventilator-associated pneumonia (VAP): Evidence from MIMIC-IV database

INTRODUCTION

Ventilator-associated pneumonia (VAP) is a hospital-acquired infection with high mortality, and remains a challenge for clinical treatment. Red blood cell distribution width (RDW) was associated with worse outcomes in several diseases. The purpose of this study was to investigate the relationship between mean RDW values, changes in RDW (delta RDW), and in-hospital mortality among patients with VAP.

METHODS

In the present study, we enrolled 1266 VAP patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. All patients were categorized into low group, medium group, and high group according to tertiles of mean RDW values. The primary outcome was all-cause in-hospital mortality. Univariate logistic regression analysis, multivariate logistic regression analysis, and restricted cubic spline (RCS) curve were performed to determine the association between mean RDW values and in-hospital mortality in VAP. Moreover, RCS curve was plotted to explore the dose-response relationship between delta RDW and in-hospital mortality in VAP.

RESULTS

Among the VAP patients included in the study, the in-hospital mortality was 20.85% with 264 non-survivors and 1002 survivors. The non-survivors exhibited significantly higher mean RDW values and delta RDW values compared to survivors. Multivariate logistic regression analysis indicated that mean RDW values were positively associated with in-hospital mortality in VAP after adjusting for relevant covariates. The RCS curve demonstrated a dose-response relationship between mean RDW and the mortality in VAP. Moreover, a linear relationship was observed between delta RDW and in-hospital mortality in VAP.

CONCLUSION

Higher mean RDW values were significantly associated with an increased risk of in-hospital mortality in VAP. Additionally, a linear relationship was found between delta RDW values and in-hospital mortality. These findings suggest that RDW can be used to identify high-risk patients with poorer outcomes in VAP.

The nonlinear association between red blood cell distribution width (RDW) and bortezomib-related peripheral neurotoxicity (PN): A retrospective cohort study

Background

Previous evidence on the association of red blood cell distribution width (RDW) with bortezomib-induced peripheral neuropathy (BIPN) is limited. As a result, in this single-center retrospective cohort analysis, the link between RDW and BIPN was investigated.

Methods

This study4 comprised 376 patients with primary multiple myeloma (MM) who attended the Department of Haematology at Guizhou Provincial People's Hospital between 2013 and 2021. RDW and the occurrence of BIPN were the exposure and outcome variables, respectively. Demographic characteristics, pharmacological agents, co-morbidities, and MM-related indicators were all included as covariates. To investigate the relationship between RDW and BIPN, binary logistic regression and two-piecewise linear regression were utilized.

Results

The relationship between RDW and BIPN was found to be non-linear. RDW was not significantly associated with the risk of BIPN (odds ratio (OR): 0.99; 95% confidence interval (CI): 0.95 to 1.02; p-value: 0.4810) to the left of the inflection point (RDW = 72.3); to the right of the inflection point, each 1 ft increase in RDW was associated with an 7% increase in the risk of BIPN (OR: 1.07; 95% CI: 1.01 to 1.15; p-value: 0.046).

Conclusion

The relationship between RDW and the risk of BIPN demonstrated a threshold effect, with RDW exceeding 72.3 fl, indicating a relatively significant risk of BIPN.

Calculated Whole Blood Viscosity and Albumin/Fibrinogen Ratio in Patients with a New Diagnosis of Multiple Myeloma: Relationships with Some Prognostic Predictors

BACKGROUND

In this single center study, we retrospectively evaluated the calculated hemorheological profile in patients with a new diagnosis of multiple myeloma, with the aim to evaluate possible relationships with some prognostic predictors, such as ISS, albumin levels, beta2-microglobulin, red cell distribution width, and bone marrow plasma cell infiltration.

METHODS

In a cohort of 190 patients, we examined the calculated blood viscosity using the de Simone formula, and the albumin/fibrinogen ratio as a surrogate of erythrocyte aggregation, and then we related these parameters to prognostic factors, using the Kruskal-Wallis and the Mann-Whitney tests, respectively.

RESULTS

From our analysis, it emerged that the evaluated hemorheological pattern differed in the three isotypes of multiple myeloma, and the whole blood viscosity was higher in IgA and IgG isotypes with respect to the light chain multiple myeloma (p < 0.001). Moreover, we observed that, as the ISS stage progressed, the albumin/fibrinogen ratio was reduced, and the same hemorheological trend was traced in subgroups with lower albumin levels, higher beta2-microglobulin and red cell distribution width RDW values, and in the presence of a greater bone marrow plasma cell infiltrate.

CONCLUSIONS

Through the changes in blood viscosity in relation to different prognostic factors, this analysis might underline the role of the hemorheological pattern in multiple myeloma.