Evidence map›Paper›PMID 39849219›Full record

ArticleArchives of orthopaedic and trauma surgery2025

Factors predicting manipulation under anaesthesia after total knee replacement.

Aruni Areti, Terrul Ratcliff, Vinayak Perake, Senthil N Sambandam

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Article in Archives of orthopaedic and trauma surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Aruni AretiBaylor College of Medicine, 1 Baylor Plz, Houston, TX, 77030, USA. aruni.areti@bcm.edu.ORCID http://orcid.org/0009-0002-8549-3870
Terrul RatcliffUT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.ORCID http://orcid.org/0000-0002-0618-6534
Vinayak PerakeIcahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA.
Senthil N SambandamUT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionManipulation under anesthesia (MUA) is a standard and effective treatment to correct stiffness and improve range of motion (ROM) following total knee arthroplasty (TKA). Delayed MUA has been associated with increased rates of revision surgeries and infections. Early MUA has been shown to double the mean gain in flexion compared to delayed interventions. To identify candidates early and effectively, this study aimed to evaluate various risk factors influencing the likelihood of undergoing MUA after TKA using statistical analysis.

methodsData from 1973 to 2023 were collected from TriNetX, reviewing 245,567 unique patients. Current Procedural Terminology (CPT) codes identified those who had undergone TKA and MUA. ICD-9 and ICD-10 codes identified preoperative comorbidities and complications. Univariate and multivariate analyses assessed the association between preoperative risk factors and MUA likelihood. Independent sample t-tests, Levene's test, and effect size analyses examined age differences between MUA and non-MUA cohorts. The study included 6,867 patients (2.8%) in the MUA cohort and 238,700 patients (97.2%) in the non-MUA cohort.

resultsAmong 245,567 TKA patients, 6,867 (2.8%) required MUA. Univariate analysis showed significant associations with age < 65 (OR = 2.49 [CI: 2.37-2.61], p < 0.001), Black race (OR = 2.04 [CI: 1.91-2.18], p < 0.001), SCD (OR = 2.96 [CI: 2.01-4.35], p < 0.001), and cannabis-related disorders (OR = 2.38 [CI: 1.29-4.38], p = 0.004). Multivariate analysis confirmed significant predictors: age < 65 (OR = 2.39 [CI: 2.26-2.53], p < 0.001), Black race (OR = 1.65 [CI: 1.51-1.81], p < 0.001), SCD (OR = 1.51 [CI: 1.00-2.26], p = 0.048), and female sex (OR = 1.13 [CI: 1.07-1.18], p < 0.001). The average age was 61.94 years in the MUA cohort and 67.09 years in the non-MUA cohort, with a significant mean difference of 5.14 years (p < 0.001).

conclusionOur study demonstrates that younger age, female sex, and Black race are significant predictors of MUA after TKA. Additionally, novel risk factors such as peripheral artery disease (PAD), chronic kidney disease (CKD), and sickle cell disease (SCD) were identified, with SCD notably increasing the likelihood of MUA. This study uniquely highlights reduced likelihoods of MUA in PAD and CKD patients, contrasting with prior literature. The significant association of SCD with MUA, alongside these novel findings, emphasizes the value of demographic and comorbidity-specific predictors in refining postoperative risk stratification.

Indexed as

AnesthesiaArthroplasty, Replacement, KneeManipulation, OrthopedicAgedAged, 80 and overAge FactorsFemaleHumansMaleMiddle AgedPostoperative ComplicationsRange of Motion, ArticularRetrospective StudiesRisk FactorsManipulation under anaesthesiaOrthopedic surgeryPostoperative complicationsPredictive factorsTotal knee replacement

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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.