ArticleMedical science monitor : international medical journal of experimental and clinical research2020
Development of a Nomogram for Predicting Blood Transfusion Risk After Hemiarthroplasty for Femoral Neck Fractures in Elderly Patients.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Risk prediction models for blood transfusion in patients undergoing total hip and knee arthroplasty: a systematic review and meta-analysis.Annals of medicine · 2026Pooled it
- Construction of a prediction model for perioperative blood transfusion in elderly hip fracture patients: a retrospective study.Perioperative medicine (London, England) · 2025Article
- CT-based sarcopenia is independently associated with blood transfusions after hip arthroplasty in elderly patients with femoral neck fractures: a retrospective cohort study.BMC geriatrics · 2025Article
- Risk Factors Involved in the Blood (Leukocyte-Depleted Suspended Red Blood Cells and Plasma) Transfusion During Glioma Operations.Journal of blood medicine · 2025Article
- Mapping the landscape of machine learning models used for predicting transfusions in surgical procedures: a scoping review.BMC medical informatics and decision making · 2024Article
- Establishment of a predictive model for blood transfusion after femoral head replacement in elderly patients.Joint diseases and related surgery · 2024Article
- Blood-Transfusion Risk Factors after Intramedullary Nailing for Extracapsular Femoral Neck Fracture in Elderly Patients.Journal of functional morphology and kinesiology · 2023Article
- SuperPath approach is a recommendable option in frail patients with femoral neck fractures: a case-control study.Archives of orthopaedic and trauma surgery · 2022Article
- Risk factors analysis and nomogram construction for blood transfusion in elderly patients with femoral neck fractures undergoing hemiarthroplasty.International orthopaedics · 2022Article
- A New Nomogram Model for Predicting 1-Year All-Cause Mortality After Hip Arthroplasty in Nonagenarians With Hip Fractures: A 20-Year Period Retrospective Cohort Study.Frontiers in surgery · 2022Article
- Preoperative risk factors for postoperative blood transfusion after hip fracture surgery: establishment of a nomogram.Journal of orthopaedic surgery and research · 2021Article
- Allogeneic Red Blood Cell Transfusion Rate and Risk Factors After Hemiarthroplasty in Elderly Patients With Femoral Neck Fracture.Frontiers in physiology · 2021Article
- Machine Learning for the Prediction of Red Blood Cell Transfusion in Patients During or After Liver Transplantation Surgery.Frontiers in medicine · 2021Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND The aim of this study was to determine the risk factors and develop a nomogram for blood transfusions after hemiarthroplasty (HA) in patients with femoral neck fractures (FNFs). MATERIAL AND METHODS We performed a retrospective study including consecutive elderly FNF patients treated by HA between January 2015 and December 2017. Perioperative information was obtained retrospectively, uni- and multivariate regression analyses were conducted to determine risk factors for blood transfusion, and a nomogram model was constructed to predict the risk of blood transfusion. The predictive performance and consistency of the model were evaluated by the consistency coefficient (C-index) and the calibration curve, respectively. RESULTS Of 178 patients, 151 were finally enrolled in the study and 21 received blood transfusion. Binary logistic regression analysis showed the low preoperative hemoglobin (Hb), longer time to surgery, general anesthesia, longer surgery duration, and higher intraoperative blood loss (IBL) were risk factors for blood transfusion. The accuracy of the contour map for predicting transfusion risk was 0.940. CONCLUSIONS We found a correlation between blood transfusion requirement and low preoperative Hb, longer time to surgery, general anesthesia, longer surgery duration, and higher IBL, and we then developed a nomogram. Our nomogram model can be used to evaluate the transfusion risk for FNF patients after HA, and provides better guidance for clinicians to intervene perioperatively, so as to reduce the incidence of blood transfusion.
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