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Updated: Apr 21, 2026

A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy
A Clinical Prediction Model for Inadequate Hemoglobin Response After Red Blood Cell Transfusion
Rudraksh Kesharwani1, Ritika Agarkar2, Dhruvin Patel3
1District Hospital, Bilaspur, Chhattisgarh, India.
Background:
Transfusion of one unit of packed red blood cells is traditionally expected to increase hemoglobin concentration by approximately 1 g/dL in adults. However, substantial variability in hemoglobin response is frequently observed in clinical practice. Smaller-than-expected increments may raise concerns regarding ongoing bleeding, hemodilution, or altered erythrocyte distribution. Understanding predictors of inadequate hemoglobin response may help clinicians interpret post-transfusion laboratory values and avoid unnecessary repeat transfusion.
Methods:
We conducted a prospective observational cohort study of 518 hemodynamically stable hospitalized adults receiving a single unit of red blood cell transfusion. Hemoglobin concentrations were measured at baseline and at 12, 24, and 48 h after transfusion. Inadequate hemoglobin response was defined a priori as a 24-h hemoglobin increment (ΔHb24) < 1 g/dL. Multivariable logistic regression was used to identify predictors of inadequate response. Model discrimination and calibration were evaluated using receiver operating characteristic analysis and calibration plots. A simplified clinical prediction score and nomogram were derived from the regression model.
Results:
The mean 24-h hemoglobin increment was 1.41 ± 0.37 g/dL. Inadequate hemoglobin response occurred in 106 patients (20.5%). Patients with inadequate response had higher baseline hemoglobin levels and a greater prevalence of splenomegaly. In multivariable analysis, higher baseline hemoglobin (OR 1.35 per 1 g/dL increase, 95% CI 1.18-1.54) and splenomegaly (OR 1.70, 95% CI 1.10-2.65) were independently associated with inadequate hemoglobin response. The prediction model demonstrated moderate discrimination (AUC 0.64; 95% CI 0.58-0.70) and acceptable calibration. A simplified clinical score stratified patients into low-, intermediate-, and high-risk categories for inadequate response. Decision curve analysis demonstrated modest clinical utility across a range of threshold probabilities.
Conclusions:
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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