Evidence map›Paper›PMID 38987728›Full record

ArticleBMC musculoskeletal disorders2024

Construction and validation of a nomogram for blood transfusion after open reduction and internal fixation (ORIF) of proximal humeral fractures in the elderly: a cross-sectional study.

Lu-Ying Chen, Ji-Qi Wang, You-Ming Zhao, Yong-Zeng Feng

Abstract readValidation Study
In one paragraph

Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lu-Ying ChenDepartment of Medical Ultrasonics, The First Affiliated Hospital of Wenzhou Medical University, Shangcai Village Ouhai District, Wenzhou, 325000, Zhejiang, China.
Ji-Qi WangDepartment of Orthopaedics, The Second Affiliated Hospital and Yuying, Children's Hospital of Wenzhou Medical University, 109# Xue Yuan Xi Road, Wenzhou, 325000, Zhejiang, China.
You-Ming ZhaoDepartment of Orthopaedics, The Second Affiliated Hospital and Yuying, Children's Hospital of Wenzhou Medical University, 109# Xue Yuan Xi Road, Wenzhou, 325000, Zhejiang, China.
Yong-Zeng FengDepartment of Orthopaedics, The Second Affiliated Hospital and Yuying, Children's Hospital of Wenzhou Medical University, 109# Xue Yuan Xi Road, Wenzhou, 325000, Zhejiang, China. jbkkyxz@outlook.com.

Funding

Wenzhou Municipal Science and Technology Bureau Y20210417
6 · The paper itself

Abstract

purposeFew studies have focused on the risk factors leading to postoperative blood transfusion after open reduction and internal fixation (ORIF) of proximal humeral fractures (PHFs) in the elderly. Therefore, we designed this study to explore potential risk factors of blood transfusion after ORIF for PHFs. We have also established a nomogram model to integrate and quantify our research results and give feedback.

methodsIn this study, we retrospectively analyzed the clinical data of elderly PHF patients undergoing ORIF from January 2020 to December 2021. We have established a multivariate regression model and nomograph. The prediction performance and consistency of the model were evaluated by the consistency coefficient and calibration curve, respectively.

results162 patients met our inclusion criteria and were included in the final study. The following factors are related to the increased risk of transfusion after ORIF: time to surgery, fibrinogen levels, intraoperative blood loss, and surgical duration.

conclusionsOur patient-specific transfusion risk calculator uses a robust multivariable model to predict transfusion risk.The resulting nomogram can be used as a screening tool to identify patients with high transfusion risk and provide necessary interventions for these patients (such as preoperative red blood cell mobilization, intraoperative autologous blood transfusion, etc.).

Indexed as

Blood TransfusionFracture Fixation, InternalNomogramsOpen Fracture ReductionShoulder FracturesAgedAged, 80 and overBlood Loss, SurgicalCross-Sectional StudiesFemaleHumansMaleRetrospective StudiesRisk AssessmentRisk FactorsBlood transfusionNomogramOpen reduction and internal fixationPrediction modelProximal humeral fracturesRisk factor

Identifiers

PMID38987728
PMCPMC11238366

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.