Literature DB >> 28353050

Do Surgeon Expectations Predict Clinically Important Improvements in WOMAC Scores After THA and TKA?

Hassan M K Ghomrawi1,2,3, Carol A Mancuso4, Allison Dunning5, Alejandro Gonzalez Della Valle6, Michael Alexiades6, Charles Cornell6, Thomas Sculco6, Matthias Bostrom6, David Mayman6, Robert G Marx6, Geoffrey Westrich6, Michael O'Dell7, Alvin I Mushlin8.   

Abstract

BACKGROUND: Failure of THA or TKA to meet a patient's expectations may result in patient disappointment and litigation. However, there is little evidence to suggest that surgeons can consistently anticipate which patients will benefit from those interventions. QUESTIONS/PURPOSES: To determine the ability of surgeons to identify, in advance of surgery, patients who will benefit from THA or TKA and those who will not, where 'benefit' is defined as a clinically important improvement in a validated patient-reported outcomes score.
METHODS: In this prospective study, eight high-volume orthopaedic surgeons completed validated THA and TKA expectations questionnaires (score 0-100, 100 being the highest expectation) as part of preoperative assessment of all their patients scheduled for a THA or TKA and enrolled in the Hospital for Special Surgery institutional registry. Enrolled patients completed the WOMAC preoperatively and at 2 years. Successful outcomes were defined as achieving the minimum clinically important difference (MCID) in WOMAC pain and function subscales. Sensitivity, specificity, and receiver operating characteristic (ROC) curves were used to evaluate the ability of surgeons' expectation scores to identify patients likely to achieve the MCID on the WOMAC scale. Analyses were run separately for patients having THA and TKA. We enrolled 259 patients undergoing THA and 247 undergoing TKA, of whom 77% (n = 200) and 77% (n = 191) completed followup surveys 2 years after their procedures, respectively.
RESULTS: Surgeons' expectation scores effectively anticipated patients who would improve after THA, but they were no better than chance in identifying patients who would achieve the MCID on the WOMAC score 2 years after TKA. For patients having THA, the areas under the ROC curve were 0.67 (95% CI, 0.53-0.82; p = 0.02) and 0.74 (95% CI, 0.63-0.85; p < 0.01) for WOMAC function and pain outcomes, respectively, indicating good accuracy. Sensitivity and specificity were maximized on WOMAC pain and function scores (sensitivity = 0.69, specificity = 0.72, both for pain and function) at an expectations score of 83 or greater of 100. Surgeons' expectations were more accurate for patients who were men, who had a BMI less than 30 kg/m2, who had more than one comorbidity, and who were older than 65 years. For patients having TKA, surgeons' expectation scores were not better than chance for identifying those who would experience a clinically important improvement on the WOMAC scale (area under ROC curve: Function = 0.51, [95% CI, 0.42-0.61], p = 0.78; Pain = 0.51, [95% CI, 0.40-0.61], p = 0.92).
CONCLUSIONS: Most patients having THA and TKA achieved the MCID improvement after surgery. However, the inability of surgeons' expectation scores to discriminate accurately between patients who benefit and those who do not among patients scheduled for THA who are young, with no comorbidities, and with elevated BMIs, and among all patients scheduled for TKA, calls for surgeons to spend more time with these patients to fully understand and address their needs and expectations. Using standardized assessment tools to compare surgeons' expectations and those of their patients may help focus the surgeon-patient discussion further, and address patients' expectations more effectively. LEVEL OF EVIDENCE: Level II, therapeutic study.

Entities:  

Mesh:

Year:  2017        PMID: 28353050      PMCID: PMC5539020          DOI: 10.1007/s11999-017-5331-8

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


  31 in total

1.  Statistical analysis of correlated data using generalized estimating equations: an orientation.

Authors:  James A Hanley; Abdissa Negassa; Michael D deB Edwardes; Janet E Forrester
Journal:  Am J Epidemiol       Date:  2003-02-15       Impact factor: 4.897

2.  Variations in surgeons' recovery expectations for patients undergoing total joint arthroplasty: a survey of the AAHKS membership.

Authors:  Christopher J Dy; Alejandro Gonzalez Della Valle; Sally York; Jose A Rodriguez; Thomas P Sculco; Hassan M K Ghomrawi
Journal:  J Arthroplasty       Date:  2012-11-09       Impact factor: 4.757

3.  Validation of the HOOS, JR: A Short-form Hip Replacement Survey.

Authors:  Stephen Lyman; Yuo-Yu Lee; Patricia D Franklin; Wenjun Li; David J Mayman; Douglas E Padgett
Journal:  Clin Orthop Relat Res       Date:  2016-02-29       Impact factor: 4.176

4.  Patients' expectations and satisfaction with total hip arthroplasty.

Authors:  C A Mancuso; E A Salvati; N A Johanson; M G Peterson; M E Charlson
Journal:  J Arthroplasty       Date:  1997-06       Impact factor: 4.757

5.  Outcomes after total hip replacement based on patients' baseline status: what results can be expected?

Authors:  Jose M Quintana; Urko Aguirre; Irantzu Barrio; Miren Orive; Susana Garcia; Antonio Escobar
Journal:  Arthritis Care Res (Hoboken)       Date:  2012-04       Impact factor: 4.794

6.  Total knee replacement; minimal clinically important differences and responders.

Authors:  A Escobar; L García Pérez; C Herrera-Espiñeira; F Aizpuru; C Sarasqueta; M Gonzalez Sáenz de Tejada; J M Quintana; A Bilbao
Journal:  Osteoarthritis Cartilage       Date:  2013-10-02       Impact factor: 6.576

7.  A cost-effectiveness analysis of total hip arthroplasty for osteoarthritis of the hip.

Authors:  R W Chang; J M Pellisier; G B Hazen
Journal:  JAMA       Date:  1996-03-20       Impact factor: 56.272

8.  Randomized trials to modify patients' preoperative expectations of hip and knee arthroplasties.

Authors:  Carol A Mancuso; Suzanne Graziano; Lisa M Briskie; Margaret G E Peterson; Paul M Pellicci; Eduardo A Salvati; Thomas P Sculco
Journal:  Clin Orthop Relat Res       Date:  2008-01-10       Impact factor: 4.176

9.  Knee injury and Osteoarthritis Outcome Score (KOOS) - validation and comparison to the WOMAC in total knee replacement.

Authors:  Ewa M Roos; Sören Toksvig-Larsen
Journal:  Health Qual Life Outcomes       Date:  2003-05-25       Impact factor: 3.186

10.  Hip disability and osteoarthritis outcome score (HOOS)--validity and responsiveness in total hip replacement.

Authors:  Anna K Nilsdotter; L Stefan Lohmander; Maria Klässbo; Ewa M Roos
Journal:  BMC Musculoskelet Disord       Date:  2003-05-30       Impact factor: 2.362

View more
  18 in total

1.  CORR Insights®: What Preoperative Factors are Associated With Not Achieving a Minimum Clinically Important Difference After sTHA? Findings from an International Multicenter Study.

Authors:  Nelson F SooHoo
Journal:  Clin Orthop Relat Res       Date:  2019-06       Impact factor: 4.176

2.  Editor's Spotlight/Take 5: Do Surgeon Expectations Predict Clinically Important Improvements in WOMAC Scores After THA and TKA?

Authors:  Seth S Leopold
Journal:  Clin Orthop Relat Res       Date:  2017-07-21       Impact factor: 4.176

3.  Not the Last Word: Big Data Will Make You Confront Big Ethical Questions-Here's Why.

Authors:  Joseph Bernstein
Journal:  Clin Orthop Relat Res       Date:  2019-02       Impact factor: 4.176

4.  Minimal clinically important differences and substantial clinical benefits for Knee Society Scores.

Authors:  Alejandro Lizaur-Utrilla; Santiago Gonzalez-Parreño; Daniel Martinez-Mendez; Francisco A Miralles-Muñoz; Fernando A Lopez-Prats
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2019-05-20       Impact factor: 4.342

5.  The tibial cut in total knee arthroplasty influences the varus alignment, the femoral roll-back and the tibiofemoral rotation in patients with constitutional varus.

Authors:  Martin Faschingbauer; S Hacker; A Seitz; L Dürselen; F Boettner; H Reichel
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2020-04-18       Impact factor: 4.342

6.  Editor's Spotlight/Take 5: Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Authors:  Seth S Leopold
Journal:  Clin Orthop Relat Res       Date:  2019-06       Impact factor: 4.176

7.  Preoperative PROMIS Scores Predict Postoperative PROMIS Score Improvement for Patients Undergoing Hand Surgery.

Authors:  David N Bernstein; Jeff R Houck; Ronald M Gonzalez; Danielle M Wilbur; Richard J Miller; David J Mitten; Warren C Hammert
Journal:  Hand (N Y)       Date:  2018-08-03

8.  Editorial: Opposites Attract at CORR®-Machine Learning and Qualitative Research.

Authors:  Seth S Leopold; Raphaël Porcher; Mark C Gebhardt; Terence J Gioe; Paul A Manner; Clare M Rimnac; Montri D Wongworawat
Journal:  Clin Orthop Relat Res       Date:  2020-10       Impact factor: 4.755

9.  Letter to the Editor: Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Authors:  Joseph Bernstein
Journal:  Clin Orthop Relat Res       Date:  2020-06       Impact factor: 4.755

10.  Association Between Baseline PROMIS Scores, Patient-Provider Communication Factors, and Musculoskeletal Health Literacy on Patient and Surgeon Expectations in Foot and Ankle Surgery.

Authors:  Aoife MacMahon; Elizabeth A Cody; Kristin Caolo; Jensen K Henry; Mark C Drakos; Constantine A Demetracopoulos; Aleksander Savenkov; Scott J Ellis
Journal:  Foot Ankle Int       Date:  2020-10-05       Impact factor: 2.827

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.