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Updated: Apr 18, 2026

A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy
Adherence to transfusion guidelines: are we prepared for the Smarter Medicine or Choosing Wisely initiative?
Bernard Surial1, Andreas Burkhart1, Nicolas Terliesner1
1Medical Clinic, Uster Hospital, Uster, Switzerland.
Objective:
To determine, whether a restrictive transfusion strategy is followed in our hospital and to identify differences in activities within departments and patient groups.
Method:
Over a period of 15 months, RBC transfusions were prospectively recorded including the haemoglobin level prior to transfusion and were grouped in the different departments of our hospital (internal medicine ward, department of surgery, emergency room, intensive care unit, gynaecology ward, medical outpatient clinic and oncology outpatient clinic). Indications and co-morbidities were assessed retrospectively by reviewing the patient's charts.
Results:
There were 1,832 RBC products transfused in total. The overall mean level of haemoglobin before transfusion was 7.61 g/dl (±1.1). These haemoglobin levels differed significantly between the departments (p <0.001), with the lowest threshold in the internal medicine ward (7.30 g/dl ± 1.0) compared to the surgery ward (7.73 g/dl ± 1.0) and to the intensive care unit (7.82 g/dl ± 0.9). In general, mean pre-transfusion haemoglobin levels did not differ significantly between patients with coronary artery disease (CAD) and patients without (7.64 g/dl ± 1.0 vs 7.59 g/dl ± 1.1, p = 0.48). In transfusions for patients with acute coronary syndrome a tendency to a higher transfusion threshold than in patients with stable CAD could be found (7.84 g/dl ± 0.7 vs 7.58 g/dl ± 1.0, p = 0.05). Patients with haematological disorders were transfused at a higher threshold when compared to patients without (7.77 g/dl vs 7.56 g/dl, p = 0.006).
Conclusion:
All wards in our analysis are following the current guidelines based on restrictive transfusion strategies. At the same time, we were able to detect significant differences between different departments and patient characteristics.
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