Evidence map›Paper›PMID 40264061›Full record

ArticleBMC musculoskeletal disorders2025

Hidden blood loss and its risk factors between high tibial osteotomy and unicompartmental knee arthroplasty for knee osteoarthritis: a retrospective study.

Tao Yu, Yiqi Chen, Ziye Yang, Hao Chen, Zhenyu Shen, Enxing Xue, Dengying Wu

Abstract readComparative Study
In one paragraph

Article in BMC musculoskeletal disorders, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tao YuThe Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Yiqi ChenThe Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Ziye YangThe Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Hao ChenThe Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Zhenyu ShenThe Second School of Medicine, Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Enxing XueDepartment of Orthopaedics, The Second Affiliated Hospital, Yuying Childrens Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Dengying WuDepartment of Orthopaedics, The Second Affiliated Hospital, Yuying Childrens Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China. wudy0577@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of our study was to compare the hidden blood loss (HBL) between patients treated with unicompartmental knee arthroplasty (UKA) and high tibial osteotomy (HTO) and to identify predictors of HBL in this cohort.

methodsWe conducted a retrospective study including 91 patients who had knee osteoarthritis, of which 31 cases (male/female: 12/19) received HTO and 60 cases (male/female: 24/36) received UKA, from January 2021 to January 2023. Demographics, clinical information and laboratory values were collected and compared. Recording preoperative and postoperative hematocrit and estimating intraoperative blood loss by surgeon to calculate HBL according to Nadler, Gross and Sehat formula. Effect sizes were determined using Cohen's d and Glass rank biserial correlation coefficient to assess clinical difference in the data. The Spearman correlation analysis was used to investigate an association between patient's characteristics and HBL. Multiple linear regression analysis was used to confirm independent risk factors of HBL.

resultsThe HBL and TBL of the HTO group (534.49 ± 336.05 ml, 639.65 ± 337.81 ml, respectively) are significantly higher than that in the UKA group (359.42 ± 263.51 ml, 408.76 ± 283.50 ml, respectively; P = 0.008, P = 0.001). Effect size analysis indicated moderate clinical significance (Cohen's d [95% CI] = 0.604 [0.160, 1.045] for HBL, 0.762 [0.312, 1.208] for TBL). The multiple linear regression analysis suggested post-operative hemoglobin values and hemoglobin loss were independent risk factors for HBL in the UKA and HTO groups.

conclusionThis study provides new insights into the comparative blood loss between HTO and UKA procedures, highlighting that HBL and TBL are significantly higher in HTO than in UKA. The moderate clinical significance of this difference emphasize the need for careful management of post-operative anemia, particularly in patients undergoing HTO, where blood loss may be more pronounced. Its risk factors should be paid more attention during the perioperative period. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Arthroplasty, Replacement, KneeBlood Loss, SurgicalOsteoarthritis, KneeOsteotomyTibiaAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsArthroplastyKneeOsteoarthritisOsteotomyRetrospective studiesRisk factors

Identifiers

PMID40264061
PMCPMC12016441

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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.