Single versus double-unit transfusion: Safety and efficacy for patients with hematologic malignancies

Blood Transfusion Complications and Associated Factors Among Blood-Transfused Adult Patients at Debre Markos Comprehensive Specialized Hospital, Ethiopia: A Cross Sectional Study

Background

Blood transfusion is the infusion of whole blood or its components into the veins of the patient to improve tissue oxygenation and maintain hemostasis. Besides its clinical use, it can pose a risk of transfusion complications with different factors.

Purpose

The aim of this study was to assess blood transfusion complications, and associated factors among transfused adult patients at Debre Markos Comprehensive Specialized Hospital, North West Ethiopia, 2022.

Materials and Methods

An institution-based cross-sectional study design was conducted on a total of 182 patients from March 20 to June 15, 2022. Patients were enrolled in the study using consecutive sampling method. The socio-demographic and clinical data were collected using a structured questionnaire and data extraction sheet, respectively. About 3 ml of anti-coagulated blood and 30 ml of urine samples were collected to assess transfusion complications. CBC and Coombs test were performed from blood and urinalysis from urine, respectively. Chi-square, Fisher's exact test, and binary logistic regression were done using SPSS version 25. P-values less than 0.05 are declared as statistically significant.

Results

An acute transfusion reaction (ATR) was encountered in 12 (6.6%) patients. It was 4.13, 7.78 and 3.96 times more likely to occur among patients with a previous history of transfusion, abortion, and transfused blood stored for more than 20 days compared to their counterparts, respectively. In addition, the odds of developing ATR increase by 2.07 as the number of transfused blood units increases by 1 unit.

Conclusion

The incidence of acute transfusion reactions was high. During transfusion, clinicians should closely monitor patients who had history of transfusion, abortion, transfused old blood and more than 1 unit.

Implementation of a patient blood management program based on a low-income country-adapted clinical decision support system

Introduction

Patient blood management (PBM) programs are associated with better patient outcomes, a reduced number of transfusions and cost-savings The Clinical Decision Support (CDS) systems are valuable tools in this process, but their availability is limited in developing countries This study assesses the feasibility and effectiveness of an adapted CDS system for low-income countries.

Methods

This was a prospective study of the PBM program implementation, in a 200-bed tertiary hospital, between February 2019 and May 2020. Outcome measures were red blood cell (RBC), fresh frozen plasma (FFP) and platelet unit transfusions, the transfusion of a single unit of red blood cells and an RBC adequacy index (RAI).

Results

Comparing the post-PBM program era with the pre-PBM system era, there was a decrease in red blood cell transfusions (p = 0.05), with an increase in single unit red blood cell transfusions (p = 0.005) and RAI (p < 0.001).

Conclusions

The PBM programs, including electronic transfusion guidelines with pre-transfusion medical auditing, was associated with improved transfusion practices and reduced product acquisition-related costs.

The impact of recipient factors on the lower-than-expected hemoglobin increment in transfused outpatients with hematologic diseases

BACKGROUND

Patients with cancer or chronic hematologic disorders frequently receive red blood cell (RBC) transfusions. Based on long-standing assumptions, each RBC unit is thought to increase recipient hemoglobin by 1 g/dL, but smaller increments can occur. A better understanding of recipient factors affecting hemoglobin increments could help providers manage these patients.

METHODS

Data were collected as a part of the observational Red Cells in Outpatients Transfusion Outcomes (RETRO) study of outpatients with hematologic or cancer-related diagnoses. Hemoglobin was measured before transfusion and 30 minutes after transfusion. A classification and regression tree (CART) analysis was performed to identify statistically significant associations with clinical variables. A corresponding prediction equation was developed and validated using linear regression.

RESULTS

A total of 195 participants had both pre- and posttransfusion hemoglobin values for analysis. The median age was 66 years, and patients received one (73%) or two (27%) RBC units during the transfusion episode. The overall median change in hemoglobin was 0.6 g/dL per RBC unit. Both CART analysis and linear regression identified the following significant predictors of hemoglobin increment: number of units received (positive correlation), patient estimated circulating blood volume (negative correlation), pretransfusion hemoglobin (negative correlation), and patient age (negative correlation).

CONCLUSION

In this study of outpatients with hematologic disease, most patients had a hemoglobin increment of less than 1 g/dL/unit. Recipient-specific factors influenced the hemoglobin increment at 30 minutes, and providers should consider circulating blood volume, pretransfusion hemoglobin, and recipient age, when developing patient-specific RBC transfusion plans for this unique cohort.