Literature DB >> 28336148

Preoperative body mass index and physical function are associated with length of stay and facility discharge after total knee arthroplasty.

Matthew G Prohaska1, Benjamin J Keeney2, Haaris A Beg3, Ishaan Swarup4, Wayne E Moschetti5, Stephen R Kantor6, Ivan M Tomek7.   

Abstract

BACKGROUND: Hospital length of stay (LOS) and facility discharge are primary drivers of the cost of total knee arthroplasty (TKA). We sought to identify modifiable patient factors that were associated with increased LOS and facility discharge after TKA.
METHODS: Prospective data were reviewed from 716 consecutive, primary TKA procedures performed by two arthroplasty surgeons between 2006 and 2012 at a single institution. Preoperative body mass index (BMI), Veterans RAND-12 (VR-12) physical component score (PCS), and hemoglobin level were collected in addition to other adjusters. Multivariate linear and logistic models were constructed to predict LOS and facility discharge, respectively.
RESULTS: After adjustment, higher BMI was associated with increased LOS in a dose-response effect: Compared to normal weight (BMI <25) overweight (25-29.9) was associated with longer LOS by 0.32days (P=0.038), class-I obesity (30-34.9) by 0.33days (P=0.024), class-II obesity (35-39.9) by 0.67days (P=0.012) and class-III obesity (>40) by 1.15days (P<0.001). Class-III obesity was associated with facility discharge (odds ratio=2.08, P=0.008). Poor PCS was associated with increasing LOS: compared to PCS≥50, PCS 20-29 was associated with a LOS increase of 0.40days (P=0.014) and PCS<20 with a LOS increase of 0.64days (P=0.031).
CONCLUSION: Patient BMI has a dose-response effect in increasing LOS. Poor PCS was associated similarly with increased LOS. These associations for of BMI and PCS suggest that improvement preoperatively, by any amount, may potentially translate to decreased LOS and perhaps lower the cost associated with TKA.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Body mass index; Facility discharge; Length of stay; Physical function; Total knee arthroplasty

Mesh:

Substances:

Year:  2017        PMID: 28336148      PMCID: PMC5476206          DOI: 10.1016/j.knee.2017.02.005

Source DB:  PubMed          Journal:  Knee        ISSN: 0968-0160            Impact factor:   2.199


  40 in total

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Review 2.  Total joint replacement in osteoarthritis.

Authors:  Jeffrey N Katz
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3.  Predicting the cost-effectiveness of total hip and knee replacement: a health economic analysis.

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4.  Impact of the economic downturn on total joint replacement demand in the United States: updated projections to 2021.

Authors:  Steven M Kurtz; Kevin L Ong; Edmund Lau; Kevin J Bozic
Journal:  J Bone Joint Surg Am       Date:  2014-04-16       Impact factor: 5.284

5.  Factors associated with prolonged length of stay following a total knee replacement in patients aged over 75.

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6.  Preoperative risks and outcomes of hip and knee arthroplasty in the Veterans Health Administration.

Authors:  Frances Weaver; Denise Hynes; William Hopkinson; Richard Wixson; Shukri Khuri; Jennifer Daley; William G Henderson
Journal:  J Arthroplasty       Date:  2003-09       Impact factor: 4.757

7.  The John Insall Award: Morbid obesity independently impacts complications, mortality, and resource use after TKA.

Authors:  Michele R D'Apuzzo; Wendy M Novicoff; James A Browne
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8.  Role of patient characteristics for fast-track hip and knee arthroplasty.

Authors:  C C Jørgensen; H Kehlet
Journal:  Br J Anaesth       Date:  2013-01-29       Impact factor: 9.166

9.  Cost and utilization of healthcare services for hip and knee replacement.

Authors:  Chris M Kozma; Terra Slaton; Andy Paris; Eric T Edgell
Journal:  J Med Econ       Date:  2013-05-23       Impact factor: 2.448

Review 10.  Detection, evaluation, and management of preoperative anaemia in the elective orthopaedic surgical patient: NATA guidelines.

Authors:  L T Goodnough; A Maniatis; P Earnshaw; G Benoni; P Beris; E Bisbe; D A Fergusson; H Gombotz; O Habler; T G Monk; Y Ozier; R Slappendel; M Szpalski
Journal:  Br J Anaesth       Date:  2011-01       Impact factor: 9.166

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  5 in total

1.  Do TKAs in Patients with Higher BMI Take Longer, and is the Difference Associated with Surgeon Volume? A Large-database Study from a National Arthroplasty Registry.

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Journal:  Clin Orthop Relat Res       Date:  2022-04-01       Impact factor: 4.755

2.  Do Age and Co-morbidy, Among other Factors, affect Length of Hospital Stay following Total Knee Arthroplasty.

Authors:  I S Komang-Agung; O Sindrawati; P S William
Journal:  Malays Orthop J       Date:  2018-07

3.  Use of Computerized Adaptive Testing to Develop More Concise Patient-Reported Outcome Measures.

Authors:  Liam T Kane; Surena Namdari; Otho R Plummer; Pedro Beredjiklian; Alexander Vaccaro; Joseph A Abboud
Journal:  JB JS Open Access       Date:  2020-03-12

Review 4.  Obesity, preoperative weight loss, and telemedicine before total joint arthroplasty: a review.

Authors:  Michael W Seward; Antonia F Chen
Journal:  Arthroplasty       Date:  2022-01-04

5.  Intrinsic patient factors predictive of inpatient rehabilitation facility discharge following primary total knee arthroplasty: a systematic review and meta-analysis.

Authors:  Larissa Sattler; Wayne Hing; Evelyne Rathbone; Christopher Vertullo
Journal:  BMC Musculoskelet Disord       Date:  2020-07-22       Impact factor: 2.362

  5 in total

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