Literature DB >> 27562787

Surgical Risks and Costs of Care are Greater in Patients Who Are Super Obese and Undergoing THA.

Menachem M Meller1, Nader Toossi2, Mark H Gonzalez3, Min-Sun Son4, Edmund C Lau5, Norman Johanson2.   

Abstract

BACKGROUND: Patients with morbid obesity, defined as a BMI greater than 40 kg/m2, and super obesity, defined as a BMI greater than 50 kg/m2, increasingly present for total hip replacement. There is disagreement in the literature whether these individuals have greater surgical risks and costs for the episode of care, and the magnitude of those risks and costs. There also is no established threshold for obesity as defined by BMI in identifying increased complications, risks, and costs of care. Until recently, analysis of higher BMI data was limited to small cohorts from hospital-based data banks, based on BMI or height and weight only, often as part of a multivariate analysis. On October 1, 2010 the Centers for Medicare & Medicaid Services added a fifth digit to the BMI data, V85.xx, in the Medicare data bank, which allowed data mining of cases of patients with higher BMI. To our knowledge, our study is the first large retrospective Medicare data mining study, which allows us to examine BMI levels greater than 40 and 50 kg/m2 to delineate risks, complications, and costs for these patients. QUESTIONS/PURPOSES: We sought to quantify (1) the surgical risk, and (2) the costs associated with complications after THA in patients who were morbidly obesity (BMI ≥ 40 kg/m2) or super obese (BMI ≥ 50 kg/m2).
METHODS: This is a retrospective study of patients, using Medicare hospital claims data, who underwent THA. The ICD-9 Clinical Modification (CM) diagnosis code V85.4x was used to identify patients with morbid obesity and with super obesity from October 1, 2010 through December 31, 2014. Patients without any BMI-related diagnosis codes were used as the control group. Twelve complications occurring during the 90 days after THA were analyzed using multivariate Cox models adjusting for patient demographic, comorbidities, and institutional factors. In addition, hospital charges and payments were compared from primary surgery through the subsequent 90 days.
RESULTS: Patients with morbid obesity had increased postoperative complications including prosthetic joint infection (hazard ratio [HR], 3.71; 95% CI, 3.2-4.31; p < 0.001), revision (HR, 1.91; 95% CI, 1.69-2.16; p < 0.001), and wound dehiscence (HR, 3.91; 95% CI, 3.14-4.86; p < 0.001). In addition, patients with morbid obesity had increased risk of deep vein thrombosis (HR, 1.43; 95% CI, 1.14-1.79; p < 0.002), pulmonary embolism (HR, 1.57; 95% CI, 1.25-1.99; p < 0.001), implant failure (HR, 1.48; 95% CI, 1.3-1.68; p < 0.001), acute renal failure (HR, 1.68; 95% CI, 1.56-1.80; p < 0.001), and all-cause readmission (HR, 1.48; 95% CI, 1.40-1.56; p < 0.001). However, death (HR, 0.94 95% CI, 0.73-1.19 p < 0.592), acute myocardial infarction (HR, 0.94; 95% CI, 0.74-1.2 p < 0.631), and dislocation (HR 1.07; 95% CI, 0.85-1.34; p < 0.585) were not different between patients in the control and morbidly obese groups. Super obese patients had an increased risk of infection (HR, 6.48; 95% CI, 4.54-9.25; p < 0.001), wound dehiscence (HR, 9.81; 95% CI, 6.31-15.24; p < 0.001), and readmission (HR, 2.16; 95% CI, 1.84-2.54; p < 0.001) compared with patients with normal BMI. Controlling for patient and institutional factors, each THA had mean total hospital charges of USD 88,419 among patients who were super obese compared with USD 73,827 for the control group, a difference of USD 14,591. Medicare payment for the patients who were super obese also was higher, but only by USD 3631.
CONCLUSIONS: Patients who are super obese are at increased risk for serious complications compared with patients with morbid obesity, whose risks are elevated relative to patients whose BMI is less than 40 kg/m2. Costs of care for patients who were super obese, likewise, were increased. We present BMI outcomes to allow an objective basis for patient counseling, risk stratification, maintaining access to orthopaedic surgical care, and maintaining hospital operating margins. LEVEL OF EVIDENCE: Level III, therapeutic study.

Entities:  

Mesh:

Year:  2016        PMID: 27562787      PMCID: PMC5052212          DOI: 10.1007/s11999-016-5039-1

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  29 in total

1.  Does body weight influence outcome after total knee arthroplasty? A 1-year analysis.

Authors:  R G Deshmukh; J H Hayes; I M Pinder
Journal:  J Arthroplasty       Date:  2002-04       Impact factor: 4.757

2.  Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001.

Authors:  Ali H Mokdad; Earl S Ford; Barbara A Bowman; William H Dietz; Frank Vinicor; Virginia S Bales; James S Marks
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3.  Does body mass index affect the early outcome of primary total hip arthroplasty?

Authors:  Matthew Moran; P Walmsley; A Gray; I J Brenkel
Journal:  J Arthroplasty       Date:  2005-10       Impact factor: 4.757

4.  High body mass index is associated with increased risk of implant dislocation following primary total hip replacement: 2,106 patients followed for up to 8 years.

Authors:  Omid Sadr Azodi; Johanna Adami; David Lindström; Karl O Eriksson; Andreas Wladis; Rino Bellocco
Journal:  Acta Orthop       Date:  2008-02       Impact factor: 3.717

5.  Outcomes and complications of total hip replacement in super-obese patients.

Authors:  R Rajgopal; R Martin; J L Howard; L Somerville; S J MacDonald; R Bourne
Journal:  Bone Joint J       Date:  2013-06       Impact factor: 5.082

6.  Does body mass index affect clinical outcome post-operatively and at five years after primary unilateral total hip replacement performed for osteoarthritis? A multivariate analysis of prospective data.

Authors:  A M Davis; A M Wood; A C M Keenan; I J Brenkel; J A Ballantyne
Journal:  J Bone Joint Surg Br       Date:  2011-09

7.  Total knee replacement in morbidly obese patients. Results of a prospective, matched study.

Authors:  A K Amin; R A E Clayton; J T Patton; M Gaston; R E Cook; I J Brenkel
Journal:  J Bone Joint Surg Br       Date:  2006-10

8.  Increases in morbid obesity in the USA: 2000-2005.

Authors:  R Sturm
Journal:  Public Health       Date:  2007-03-30       Impact factor: 2.427

9.  Role of obesity on the risk for total hip or knee arthroplasty.

Authors:  Robert Bourne; Shaheena Mukhi; Naisu Zhu; Margaret Keresteci; Mihaela Marin
Journal:  Clin Orthop Relat Res       Date:  2007-12       Impact factor: 4.176

10.  Medical comorbidities are independent preoperative risk factors for surgical infection after total joint arthroplasty.

Authors:  Joshua S Everhart; Eric Altneu; Jason H Calhoun
Journal:  Clin Orthop Relat Res       Date:  2013-10       Impact factor: 4.176

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  18 in total

1.  Evaluating the effects of a total joint education class on patient outcomes.

Authors:  Kevin Marshall
Journal:  J Orthop       Date:  2020-03-26

Review 2.  Clinical Faceoff: Should Orthopaedic Surgeons Have Strict BMI Cutoffs for Performing Primary TKA and THA?

Authors:  Benjamin F Ricciardi; Nicholas J Giori; Thomas K Fehring
Journal:  Clin Orthop Relat Res       Date:  2019-12       Impact factor: 4.176

3.  Awake craniotomy in a super obese patient using high flow nasal cannula oxygen therapy (HFNC).

Authors:  S Banik; A G Parrent; R R Noppens
Journal:  Anaesthesist       Date:  2019-11-04       Impact factor: 1.041

Review 4.  [Risk management in orthopedic surgery : Stratification and adjustment of patient-individual risk factors].

Authors:  Matthias Meyer; Tobias Kappenschneider; Joachim Grifka; Markus Weber
Journal:  Orthopade       Date:  2022-01-07       Impact factor: 1.087

Review 5.  Preoperative Patient Optimization in Total Joint Arthroplasty-The Paradigm Shift from Preoperative Clearance: A Narrative Review.

Authors:  Aoife MacMahon; Sandesh S Rao; Yash P Chaudhry; Syed A Hasan; Jeremy A Epstein; Vishal Hegde; Daniel J Valaik; Julius K Oni; Robert S Sterling; Harpal S Khanuja
Journal:  HSS J       Date:  2021-07-30

6.  [Preoperative screening for risk factors].

Authors:  Matthias Meyer; Joachim Grifka; Tobias Kappenschneider
Journal:  Orthopadie (Heidelb)       Date:  2022-05-25

Review 7.  Total Hip Arthroplasty in the Obese Patient: Tips and Tricks and Review of the Literature.

Authors:  John-Henry Rhind; Camilla Baker; Philip John Roberts
Journal:  Indian J Orthop       Date:  2020-06-10       Impact factor: 1.251

8.  Underweight patients are at just as much risk as super morbidly obese patients when undergoing anterior cervical spine surgery.

Authors:  Taylor D Ottesen; Rohil Malpani; Anoop R Galivanche; Cheryl K Zogg; Arya G Varthi; Jonathan N Grauer
Journal:  Spine J       Date:  2020-03-16       Impact factor: 4.297

9.  Factors Associated With 30-Day Readmission After Primary Total Hip Arthroplasty: Analysis of 514 455 Procedures in the UK National Health Service.

Authors:  Adam M Ali; Mark D Loeffler; Paul Aylin; Alex Bottle
Journal:  JAMA Surg       Date:  2017-12-20       Impact factor: 14.766

10.  Failure to Medically Optimize Before Total Hip Arthroplasty: Which Modifiable Risk Factor Is the Most Dangerous?

Authors:  Joseph M Statz; Susan M Odum; Nicholas R Johnson; Jesse E Otero
Journal:  Arthroplast Today       Date:  2021-07-05
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