Red Cell Distribution Width (RDW) at Diagnosis Is Associated to Advanced Stage, Worse Response and Poor Prognosis in Hodgkin Lymphoma

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 5373-5373 ◽  
Author(s):  
Bernardo Lopez Andrade ◽  
Beatriz Robredo ◽  
Francesca Sartori ◽  
Inés Herráez ◽  
Maria Antonia Duran Pastor ◽  
...  

Abstract Red cell distribution width (RDW) is an indicator of the variability in the size of circulating erythrocytes (anisocytosis); different conditions can increase the RDW levels; such as hemolysis, ineffective erythropoiesis and blood transfusions. Recently, different studies have shown an association between increased levels of RDW and inflammation in different diseases, being proposed as a surrogate marker of inflammation and astrong predictor of adverse outcome. The proposed mechanism of this association departs from the finding that Inflammatory cytokines like TNFand IL-6 (part of the classic inflammatory cascade), have been found to inhibit erythropoietin-induced erythrocyte maturation, which is reflected in the RDW increase. Hodgkin lymphoma (HL) is a B cell neoplasm which originates in the germinal or post-germinal center B cells and is characterized by the presence of clonal malignantHodgkin/Reed-Sternbergcells (HRS) in an inflammatory background. The presence of autocrine or paracrine cytokines signaling loops drive proliferation and survival of HRS cells, making HL a lymphoma where the inflammatory status is important. We aim to evaluate the prognostic role of RDW levels in HL patients at diagnosis. METHODS We retrospectively evaluated 119 patients with HL homogenously treated in frontline with ABVD from 2001 to 2015 in the Son Espases University Hospital. To avoid selection bias patients were obtained from Pharmacy and Pathology Departments registries. Main clinical and prognostic factors at diagnosis were obtained from medical records. Cheson criteria were used for response assessment. The RDW was collected from the hemogram at diagnosis. The IBM SPSS STADISTICS program was used for all statistical analyses. PFS (time to progression/relapse) and overall survival (OS) (time to death) were measured from the date of ABVD onset, and were estimated according to the Kaplan-Meier method. We performed the comparisons between those interest variables with the log-rank test. A comparison between categorical variables was made with the chi-square of Fisher's exact test, as appropriate. All reported P-values were two-sided, and statistical significance was defined at P<0.05. For selecting cutoff values in RDW we used ROC curves. RESULTS: Main characteristics of patients were as follows: median age was 37 (15-75) years, 61% were males, 13% had ECOG PS>1, 47% advanced III-IV Ann Arbor (AA) stage, 42% B-symptoms and 29% IPS>2 Median RDW was14.1 (11-23.9).Using ROC curves we selected the cutoff 16.6 for relapse/progression event. We evaluated the association of increased RDW with main prognostic factors at diagnosis. RDW >16.6 at diagnosis was associated with a worse ECOG PS, a more advanced AA stage, higher incidence of B symptoms, IPS>2, higher Erythrocyte sedimentation rate (ESR) and unfavorable lymphocyte/monocyte rate (LMR) (Table 1). Patients with RDW>16.6 were associated with worse responses compared to those with RDW≤16.6: 29% versus 6% of stable/progressive disease and lower complete or partial responses: 67% and 5% versus 93% and 1%, respectively (p=0.004). Univariate survival analysis is shown in Table 2. Age, ECOG PS, AA stage, IPS, LMR and RDW were related to PFS. Age, ECOG PS, IPS and LMR were associated with OS. Multivariate analysis showed age>60 years (HR 7.66; p=0.002), RDW>16.6 (HR=3.41; p=0.005) and advanced AA stage (HR=2.55;p=0.044) as independently associated to worse PFS (Figure 1) while only age>60 years (HR=11.5; p<0.001) and ECOG PS>1 (HR=4.15; p=0.008) independently influenced a worse OS. CONCLUSION: Higher RDW at diagnosis was related with more aggressive and advanced disease in HL and lower response rates, probably reflecting a higher inflammatory activity of the lymphoma and its microenvironment. RDW>16.6 was independently associated with a worse PFS. Disclosures No relevant conflicts of interest to declare.

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 5398-5398
Author(s):  
Leyre Bento ◽  
Juan Sarmentero ◽  
Ana Ortuño ◽  
Marta García-Recio ◽  
Bernardo Lopez ◽  
...  

Abstract Red cell distribution width (RDW) is an indicator of the variability in the size of circulating erythrocytes (anisocytosis); different conditions can increase the RDW levels; such as hemolysis, ineffective erythropoiesis and blood transfusions. Recently, different studies have shown an association between increased levels of RDW and inflammation in different diseases, being proposed as a surrogate marker of inflammation and a strong predictor of adverse outcome. The proposed mechanism of this association departs from the finding that Inflammatory cytokines like TNFand IL-6 (part of the classic inflammatory cascade), have been found to inhibit erythropoietin-induced erythrocyte maturation, which is reflected in the RDW increase. Some reports have found a relationship between RDW and mortality related to age or several malignant or non-malignant conditions. However, there is no information about the role of RDW in overall survival (OS) of patients with DLBCL. We aim to evaluate the prognostic role of RDW levels in DLBCL patients at diagnosis. METHODS We retrospectively evaluated 83 patients with DLBCL homogenously treated in frontline with R-CHOP from 2002 to 2013 in the Son Espases University Hospital. To avoid selection bias patients were obtained from Pharmacy and Pathology Departments registries. Main clinical and prognostic factors at diagnosis were obtained from medical records. Cheson criteria were used for response assessment. The RDW was collected from the hemogram at diagnosis. The IBM SPSS STADISTICS program was used for all statistical analyses. PFS (time to progression/relapse) and overall survival (OS) (time to death) were measured from the date of ABVD onset, and were estimated according to the Kaplan-Meier method. We performed the comparisons between those interest variables with the log-rank test. A comparison between categorical variables was made with the chi-square of Fisher's exact test, as appropriate. All reported P-values were two-sided, and statistical significance was defined at P<0.05. For selecting cutoff values in RDW we used ROC curves. RESULTS: Main characteristics of patients were as follows: median age was 62 (20-86) years, 24% had ECOG PS>1, 64% advanced III-IV Ann Arbor (AA) stage, 39% B-symptoms, 51% adjusted-International Prognostic Index (a-IPI) and 39% belong to the high risk (3-5) subgroups of R-IPI Median RDW was 14.6 (11.1-21.1). Using ROC curves we selected the cutoff 14.05 for the death event. We evaluated the association of increased RDW with main prognostic factors at diagnosis. RDW >14.05 at diagnosis was associated with a more advanced age, worse ECOG PS, a more advanced AA stage, higher incidence of B symptoms and IPI>2. However, RDW was not related to disease control in terms of response to therapy (p=0.39) or relapse/progression (p=0.21) rates. Inversely, RDW>14.05 was in fact associated to a higher mortality (47%) compared to only 17% in patients with RDW≤14.05 (p=0.008). Median follow-up was 77 (20-137) months. Univariate survival analysis showed age>60 years (p=0.001), ECOG PS>1 (p=0.036), high risk R-IPI (p=0.005), a higher than 15% reduction in relative dose-intensity (RDI) (p=0.026) and RDW>14.05 (p=0.008) were significantly related to worse OS. By contrast, RDW did not significantly influence progression-free survival (p=0.19). CONCLUSIONS: Higher RDW at diagnosis in this series of DLBCL patients was related with older age, worse ECOG PS and more advanced disease but this was not translated into a worse control of disease in terms of only a small non statistically significant impact in response or PFS. By contrast higher RDW was linked to a significantly higher mortality and worse OS possibly related to a higher proinflammatory basal status and comorbidities. Patients with higher RDW may be at risk of reduction in RDI. These findings could justify including RDW in scores of comorbidities in DLBCL as well as in other malignant and non-malignant conditions. Disclosures No relevant conflicts of interest to declare.


Hypertension ◽  
2015 ◽  
Vol 66 (suppl_1) ◽  
Author(s):  
Suraj Raheja ◽  
Kush Patel ◽  
Ruchir Patel ◽  
Sagger Mawri ◽  
Alexander Michaels ◽  
...  

Background: Red cell distribution width (RDW) is a measure of the variability in size of erythrocytes. A high RDW value indicates greater variation in size between individual erythrocytes and has been shown to be an independent predictor of mortality in patients with coronary artery disease, heart failure and in patients undergoing percutaneous coronary intervention (PCI). The aim of this study was to evaluate the prognostic value of RDW in predicting clinical outcomes in patients with hypertensive crisis. Methods: We performed a retrospective study of 465 consecutive patients from January 2007 to March 2010 who presented with hypertensive crisis. Hypertensive crisis was defined as systolic BP >180 and/or diastolic BP >110mmHg with impending or progressive end organ dysfunction requiring inpatient hospitalization. The study sample consisted of 465 patients (38.9% men (181 of 465); mean age 59.6 ± 15.9). Baseline levels of RDW were measured at time of admission and analyzed as continuous and categorical variables (elevated RDW was defined as >14.5%). Multivariable regression analysis was performed for development of all-cause mortality, myocardial infarction, new-onset heart failure (defined as first time hospital admission for heart failure), stroke and MACE (MI, new-onset heart failure and stroke) at 2 years. Results: RDW > 14.5% was a strong independent predictor of all-cause mortality at 2 years (OR: 1.90, 95% CI: 1.1-3.3, p <0.05). Elevated RDW was also found to be an independent predictor of new-onset heart failure at 2 years (OR: 1.97, 95% CI: 1.1-3.7, p <0.05). Elevated RDW was not a predictor of MI, PCI or stroke at 2 years. Conclusions: Elevated RDW level in patients with hypertensive crisis was an independent predictor of all-cause mortality and new-onset heart failure in patients with hypertensive crisis.


2020 ◽  
Vol 51 (3) ◽  
pp. 261-267 ◽  
Author(s):  
Hamideh Ghazizadeh ◽  
Mohammad Reza Mirinezhad ◽  
Seyed Mohammad Reza Seyedi ◽  
Fatemeh Sadabadi ◽  
Mahsa Ahmadnezhad ◽  
...  

2017 ◽  
Vol 274 (11) ◽  
pp. 3985-3992 ◽  
Author(s):  
Manupol Tangthongkum ◽  
Sireethorn Tiyanuchit ◽  
Virat Kirtsreesakul ◽  
Pasawat Supanimitjaroenporn ◽  
Wattana Sinkitjaroenchai

2021 ◽  
pp. FSO712
Author(s):  
Mandana Pouladzadeh ◽  
Mehdi Safdarian ◽  
Parastoo Moradi Choghakabodi ◽  
Fatemeh Amini ◽  
Alireza Sokooti

Aim: The aim of this study is the predictive validation of red cell distribution width (RDW) in COVID-19 patients. Method: In total, 331 COVID-19 patients were classified as ‘severe’ and ‘nonsevere’ groups based on the WHO standard criteria. The levels of RDW standard deviation (SD) were evaluated as both continuous and categorical variables. Multivariate statistical analyses were used. Results: RDW-SD ≤43 and ≤47 fl thresholds showed high specificity (90.1–91.4%) for diagnosing nonsevere illness and no risk of death. RDW-SD >47 indicated severe illness and a high mortality risk while 43<RDW-SD≤47 indicated severe illness with low risk of death. Conclusion: RDW-SD levels may be a potent independent predictor of the infection severity and mortality probability in COVID-19 patients.


Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 710
Author(s):  
Francesco Petrella ◽  
Monica Casiraghi ◽  
Davide Radice ◽  
Andrea Cara ◽  
Gabriele Maffeis ◽  
...  

Background: The ratio of hemoglobin to red cell distribution width (HRR) has been described as an effective prognostic factor in several types of cancer. The aim of this study was to investigate the prognostic role of preoperative HRR in resected-lung-adenocarcinoma patients. Methods: We enrolled 342 consecutive patients. Age, sex, surgical resection, adjuvant treatments, pathological stage, preoperative hemoglobin, red cell distribution width, and their ratio were recorded for each patient. Results: Mean age was 66 years (SD: 9.0). There were 163 females (47.1%); 169 patients (49.4%) had tumors at stage I, 71 (20.8%) at stage II, and 102 (29.8%) at stage III. In total, 318 patients (93.0%) underwent lobectomy, and 24 (7.0%) pneumonectomy. Disease-free survival multivariable analysis disclosed an increased hazard ratio (HR) of relapse for preoperative HRR lower than 1.01 (HR = 2.20, 95%CI: (1.30–3.72), p = 0.004), as well as for N1 single-node (HR = 2.55, 95%CI: (1.33–4.90), p = 0.005) and multiple-level lymph node involvement compared to N0 for both N1 (HR = 9.16, 95%CI:(3.65–23.0), p < 0.001) and N2 (HR = 10.5, 95%CI:(3.44–32.2, p < 0.001). Conclusion: Pre-operative HRR is an effective prognostic factor of disease-free survival in resected-lung-adenocarcinoma patients, together with the level of pathologic node involvement.


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