Evidence mapPaperPMID 42260461Full record

ArticleBMC musculoskeletal disorders2026

A multivariable model for perioperative transfusion risk in elective primary THA.

Nikolai Ramadanov, Maximilian Voss, Maximilian Heinz, Dakota Fuchs, Robert Prill, Roland Becker

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Article in BMC musculoskeletal disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Nikolai RamadanovCenter of Orthopaedics and Traumatology, Brandenburg Medical School, University Hospital Brandenburg, Brandenburg/Havel, Germany. nikolai.ramadanov@gmail.com.
Maximilian VossCenter of Orthopaedics and Traumatology, Brandenburg Medical School, University Hospital Brandenburg, Brandenburg/Havel, Germany.
Maximilian HeinzCenter of Orthopaedics and Traumatology, Brandenburg Medical School, University Hospital Brandenburg, Brandenburg/Havel, Germany.
Dakota FuchsCenter of Orthopaedics and Traumatology, Brandenburg Medical School, University Hospital Brandenburg, Brandenburg/Havel, Germany.
Robert PrillCenter of Orthopaedics and Traumatology, Brandenburg Medical School, University Hospital Brandenburg, Brandenburg/Havel, Germany.
Roland BeckerCenter of Orthopaedics and Traumatology, Brandenburg Medical School, University Hospital Brandenburg, Brandenburg/Havel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerioperative blood transfusion remains a relevant concern in elective total hip arthroplasty (THA), as it is associated with adverse outcomes and increased healthcare utilization. Reliable, procedure-specific risk stratification tools based on routinely available clinical data are needed to support individualized perioperative blood management.

methodsThis retrospective cohort study included consecutive patients undergoing elective primary THA between 2016 and 2023 at a single certified arthroplasty center. Demographic data, comorbidity burden (ASA classification), perioperative laboratory values, operative characteristics, blood loss parameters, and transfusion data were extracted from a prospectively maintained registry. The primary outcome was perioperative allogeneic red blood cell transfusion. Univariable and multivariable logistic regression analyses were performed to identify independent predictors of transfusion. Model performance was assessed using receiver operating characteristic analysis and calibration testing.

resultsA total of 648 patients were included, of whom 104 (16.0%) required perioperative transfusion. Transfused patients demonstrated lower preoperative hemoglobin levels, greater perioperative hemoglobin decline, and higher total and hidden blood loss. On multivariable analysis, lower preoperative hemoglobin, longer operative time, greater intraoperative blood loss, and lower body mass index were independently associated with transfusion, while male sex was inversely associated. Higher comorbidity burden (ASA ≥ III) showed a borderline association after adjustment. The final model demonstrated excellent discrimination with an area under the curve of 0.878 and good calibration.

conclusionExternal validation of the present model is required before routine clinical application. Perioperative transfusion following elective primary THA can be predicted with good discriminative performance using routinely available clinical variables, supporting perioperative risk assessment and individualized blood management, although its applicability for preoperative patient counseling is limited. LEVEL OF EVIDENCE: Level III (retrospective cohort study).

Indexed as

Arthroplasty, Replacement, HipBlood Loss, SurgicalBlood TransfusionElective Surgical ProceduresErythrocyte TransfusionPerioperative CareAgedFemaleHemoglobinsHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsHemoglobinsBlood managementHemoglobinRisk stratificationTotal hip arthroplastyTransfusion

Identifiers

PMID42260461
PMCPMC13248325

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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 Socratic graph.