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A clinical prediction model assists in predicting hemoglobin response in patients after transfusion, suggesting potential improvements in care.
Inadequate hemoglobin response after single-unit red blood cell transfusion occurs in approximately one fifth of patients and appears to be influenced primarily by recipient physiological factors rather than donor unit characteristics. A simple clinical prediction model may assist clinicians in interpreting post-transfusion hemoglobin changes and reduce unnecessary repeat transfusions.
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Kesharwani et al. (2026) studied this question.
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