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ArticleEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2019

When can I go home after my knee replacement? Factors affecting the duration of in-hospital stay after knee replacement.

Vishesh Khanna, A V Gurava Reddy, Deepesh Daultani, Sukesh Rao Sankineani, Jai Khanna, Adarsh Annapareddy, Krishna Kiran Eachampati

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Article in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Vishesh KhannaSunshine Hospitals, Penderghast Road, Opposite Parsi Dharamsala, Paradise, Secunderabad, Telangana, 500003, India. visheshkhanna85@gmail.com.ORCID http://orcid.org/0000-0002-3800-6956
A V Gurava ReddySunshine Hospitals, Penderghast Road, Opposite Parsi Dharamsala, Paradise, Secunderabad, Telangana, 500003, India.
Deepesh DaultaniSunshine Hospitals, Penderghast Road, Opposite Parsi Dharamsala, Paradise, Secunderabad, Telangana, 500003, India.
Sukesh Rao SankineaniSunshine Hospitals, Penderghast Road, Opposite Parsi Dharamsala, Paradise, Secunderabad, Telangana, 500003, India.
Jai Khanna, San Francisco, CA, USA.
Adarsh AnnapareddySunshine Hospitals, Penderghast Road, Opposite Parsi Dharamsala, Paradise, Secunderabad, Telangana, 500003, India.
Krishna Kiran EachampatiMaxcure Hospital, Madhapur, Telangana, 500081, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite a sevenfold decline in the number of postoperative nights (21-3) after a total knee arthroplasty (TKA) over the last four decades, predictors of length of stay (LOS) are not fully understood. We attempted to ascertain these factors by analyzing a large cohort of patients.

methodsProspectively collected data between January 2016 and March 2017 were retrospectively analyzed at our institute. Charts of 1663 consecutive, simple primary unilateral and bilateral TKAs were reviewed for the LOS excluding staggered bilateral, complex primary and revision knees. STATISTICAL ANALYSIS: Preoperative variables [demographics, cash/credit status, historical, clinical, laboratory findings, Knee Society Function Scores and Oxford Knee Scores (OKSs)] were scrutinized by multivariate regression to identify significant factors affecting LOS and formulate model equations for patients and health caregivers. Results were incorporated into an iOS application, which was tested for accuracy.

resultsAmong 1524 unilateral and 139 bilateral TKAs, mean LOS was 4.4 and 5.2 days, respectively. Five factors, namely insurance, flexion/hyperextension deformity, preoperative OKS and a rheumatoid etiology, were significantly associated with prolonged LOS in unilateral knees. The impact of these independent variables on LOS could be calculated by: [Formula: see text]For bilateral cases, the only significant variable extending LOS was a low preoperative OKS and the equation is given as follows: [Formula: see text]The iOS-app-predicted LOS and actual LOS were similar (p > 0.05) for 115 prospectively operated knees.

conclusionPoor preoperative OKS, rheumatoid etiology, flexion and hyperextension deformity and delays in insurance affected unilateral TKR LOS, while poor preoperative OKS alone affected LOS in bilateral cases.

Indexed as

AdultAgedAged, 80 and overArthritis, RheumatoidArthroplasty, Replacement, KneeFemaleHumansInsurance, HealthKnee JointLength of StayMaleMiddle AgedOsteoarthritis, KneePreoperative PeriodRange of Motion, ArticularRetrospective StudiesDischarge delaysEquations predicting stayInsurance delaysLength of stayPrimary total knee arthroplastySevere deformities

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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.