Total Red Blood Cell Transfusions for Chronic Hemodialysis Patients in a Single Center, 2009-2013

Nephron ◽  
2016 ◽  
Vol 133 (1) ◽  
pp. 23-34 ◽  
Author(s):  
Robert C. Albright Jr. ◽  
John J. Dillon ◽  
Craig L. Hocum ◽  
James R. Stubbs ◽  
Pamela M. Johnson ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Hemodialysis Patients ◽  
Chronic Hemodialysis ◽  
Single Center ◽  
Red Blood Cell Transfusions

scholarly journals Development and Validation of a Transfusion Risk Score for Patients Receiving Maintenance Hemodialysis

Kidney360 ◽  
2021 ◽  
pp. 10.34067/KID.0004512020
Author(s):  
David T. Gilbertson ◽  
Heng Yan ◽  
Yi Peng ◽  
James B. Wetmore ◽  
Jiannong Liu ◽  
...  
Keyword(s):  
Blood Cell ◽  
Risk Score ◽  
Red Blood Cell ◽  
Validation Cohort ◽  
Baseline Period ◽  
Hemodialysis Patients ◽  
Maintenance Hemodialysis ◽  
Red Blood Cell Transfusions ◽  
Prediction Risk ◽  
Transfusion Prediction

Background: In dialysis patients with anemia, avoiding red blood cell transfusions is preferable. We sought to develop and validate a novel transfusion prediction risk score for patients receiving maintenance hemodialysis. Methods: This retrospective cohort study used United States Renal Data System data to create a model development cohort (point prevalent hemodialysis patients on November 1, 2012) and a validation cohort (point prevalent hemodialysis patients on August 1, 2013). We characterized comorbidity, inflammatory conditions, hospitalizations, anemia and anemia management, iron parameters, intravenous iron use, and vitamin D use during a 6-month baseline period to predict subsequent 3-month transfusion risk. We used logistic least absolute shrinkage and selection operator regression. In an exploratory analysis, model results were used to calculate a score to predict 6- and 12-month hospitalization and mortality. Results: Variables most predictive of transfusion were prior transfusion, hemoglobin, ferritin, and number of hospital days in the baseline period. The resulting C-statistic in the validation cohort was 0.74, indicating relatively good predictive power. The score was associated with a significantly increased risk of subsequent mortality (hazard ratios 1.0, 1.22, 1.26, 1.54, 1.71 grouped from lowest to highest score), but not with hospitalization. Conclusions: We developed a transfusion prediction risk score with good performance characteristics that was associated with mortality. This score could be further developed into a clinically useful application allowing clinicians to identify hemodialysis patients most likely to benefit from a timely, proactive anemia treatment approach with the goal of avoiding red blood cell transfusions and attendant risks of adverse clinical outcomes.

scholarly journals Omega‐3 PUFA plasma and red blood cell status in chronic hemodialysis patients

2006 ◽  
Vol 20 (4) ◽  
Author(s):  
Allon N Friedman ◽  
Sharon Moe ◽  
Susan M Perkins ◽  
Yong Li ◽  
Bruce A Watkins
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Hemodialysis Patients ◽  
Chronic Hemodialysis ◽  
Omega 3
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