Affiliation:
1. Department of Clinical BloodTransfusion, Huangshi Central Hospital,Affiliated Hospital of Hubei Polytechnic Univercity
2. Molecluar Laboratory, the People's Hospital of Beilun District, Beilun Branch Hospital of The First Affiliated Hospital of Medical School Zhejiang University
3. Department of Surgical Oncology, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine
Abstract
Abstract
OBJECTIVE: To develop a risk assessment model for predicting red blood cell (RBC) transfusion in neonatal patients to assist hospital blood supply departments in providing small portions of RBCs to those requiring RBC transfusion on time.
METHODS: Clinical information was collected from 1201 children admitted to the neonatal unit. Clinical factors associated with predicting RBC transfusion were screened, and prediction models were developed using stepwise and multifactorial logistic regression analyses, followed by the evaluation of prediction models using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA).
RESULTS: Overall, 81 neonatal patients were transfused with RBCs, and the variables of gestational age at birth, age <1 month, receipt of mechanical ventilation, and infant anaemia were included in the final prediction model. The area under the curve of the prediction model was 0.936 (0.921–0.949), which was significantly higher than that of the individual indicators of gestational age at birth, age at admission <1 month, receipt of mechanical ventilation, and infant anaemia (P<0.001). DCA showed a standardised net benefit for the possible risk of infant RBC transfusion at 0.1–1.0.
CONCLUSION: We developed a risk assessment model to predict the risk of RBC transfusion in neonatal patients that can effectively assess the risk of RBC transfusion in children.
Publisher
Research Square Platform LLC