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Fiedler B, Bieganowski T, Anil U, Lin CC, Habibi AA, Schwarzkopf R. Can pain be improved with retention of the posterior cruciate ligament during total knee arthroplasty? EUROPEAN JOURNAL OF ORTHOPAEDIC SURGERY & TRAUMATOLOGY : ORTHOPEDIE TRAUMATOLOGIE 2023; 33:3395-3401. [PMID: 37140671 DOI: 10.1007/s00590-023-03562-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/23/2023] [Indexed: 05/05/2023]
Abstract
PURPOSE The purpose of the current study was to determine if differences exist between cruciate-retaining (CR) and posterior-stabilized (PS) implant articulations for total knee arthroplasty (TKA) with regards to early post-operative pain. METHODS We retrospectively reviewed patients who underwent primary TKA, with the same TKA implant design, at our institution between January 2018 and July 2021. Patients were stratified based on whether they received a CR or non-constrained PS (PSnC) articulation and propensity score matched in a 1:1 ratio. A sub-analysis matching patient who received a constrained PS implant (PSC) to those undergoing CR TKA and PSnC TKA was also carried out. Opioid dosages were converted to morphine milligram equivalents (MME). RESULTS 616 patients after CR TKA were matched 1:1 to 616 patients with a PSnC implant. There were no significant differences between demographic variables. There were no statistically significant differences in opioid usage measured by MME on post-operative day (POD) 0 (p = 0.171), POD1 (p = 0.839), POD2 (p = 0.307), or POD3 (p = 0.138); VAS pain scores (p = 0.175); or 90-day readmission rate for pain (p = 0.654). A sub-analysis of CR versus PSC TKA demonstrated no significant differences in opioid usage on POD0 (p = 0.765), POD1 (p = 0.747), POD2 (p = 0.564), POD3 (p = 0.309); VAS pain scores (p = 0.293); and 90-day readmission rate for pain (p > 0.9). CONCLUSION Our analysis demonstrated no significant difference in post-operative VAS pain scores and MME usage based on implant. The results suggest that neither the type of articulation or constraint used for primary TKA has a significant impact on immediate post-operative pain and opioid consumption. LEVEL III EVIDENCE Retrospective Cohort Study.
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Affiliation(s)
- Benjamin Fiedler
- Department of Orthopedic Surgery, NYU Langone Orthopedic Center, NYU Langone Health, 301 East 17th Street, 14th Floor, New York, NY, USA
| | - Thomas Bieganowski
- Department of Orthopedic Surgery, NYU Langone Orthopedic Center, NYU Langone Health, 301 East 17th Street, 14th Floor, New York, NY, USA
| | - Utkarsh Anil
- Department of Orthopedic Surgery, NYU Langone Orthopedic Center, NYU Langone Health, 301 East 17th Street, 14th Floor, New York, NY, USA
| | - Charles C Lin
- Department of Orthopedic Surgery, NYU Langone Orthopedic Center, NYU Langone Health, 301 East 17th Street, 14th Floor, New York, NY, USA
| | - Akram A Habibi
- Department of Orthopedic Surgery, NYU Langone Orthopedic Center, NYU Langone Health, 301 East 17th Street, 14th Floor, New York, NY, USA
| | - Ran Schwarzkopf
- Department of Orthopedic Surgery, NYU Langone Orthopedic Center, NYU Langone Health, 301 East 17th Street, 14th Floor, New York, NY, USA.
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Howard R, Brown CS, Lai YL, Gunaseelan V, Chua KP, Brummett C, Englesbe M, Waljee J, Bicket MC. The Association of Postoperative Opioid Prescriptions with Patient Outcomes. Ann Surg 2022; 276:e1076-e1082. [PMID: 34091508 PMCID: PMC8787466 DOI: 10.1097/sla.0000000000004965] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To compare outcomes after surgery between patients who were not prescribed opioids and patients who were prescribed opioids. SUMMARY OF BACKGROUND DATA Postoperative opioid prescriptions carry significant risks. Understanding outcomes among patients who receive no opioids after surgery may inform efforts to reduce these risks. METHODS We performed a retrospective study of adult patients who underwent surgery between January 1, 2019 and October 31, 2019. The primary outcome was the composite incidence of an emergency department visit, readmission, or reoperation within 30 days of surgery. Secondary outcomes were postoperative pain, satisfaction, quality of life, and regret collected via postoperative survey. A multilevel, mixed-effects logistic regression was performed to evaluate differences between groups. RESULTS In a cohort of 22,345 patients, mean age (standard deviation) was 52.1 (16.5) years and 13,269 (59.4%) patients were female. About 3175 (14.2%) patients were not prescribed opioids, of whom 422 (13.3%) met the composite adverse event endpoint compared to 2255 (11.8%) of patients not prescribed opioids ( P = 0.015). Patients not prescribed opioids had a similar probability of adverse events {11.7% [95% confidence interval (CI) 10.2%-13.2%] vs 11.9% (95% CI 10.6%-13.3%]}. Among 12,872 survey respondents, patients who were not prescribed an opioid had a similar rate of high satisfaction [81.7% (95% CI 77.3%-86.1%) vs 81.7% (95% CI 77.7%- 85.7%)] and no regret [(93.0% (95% CI 90.8%-95.2%) vs 92.6% (95% CI 90.4%-94.7%)]. CONCLUSIONS Patients who were not prescribed opioids after surgery had similar clinical and patient-reported outcomes as patients who were prescribed opioids. This suggests that minimizing opioids as part of routine postoperative care is unlikely to adversely affect patients.
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Affiliation(s)
- Ryan Howard
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan
- Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
| | - Craig S Brown
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan
- Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
| | - Yen-Ling Lai
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan
- Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
| | - Vidhya Gunaseelan
- Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
- Department of Anesthesiology, Michigan Medicine, Ann Arbor, Michigan
| | - Kao-Ping Chua
- Department of Pediatrics, Michigan Medicine, Ann Arbor, Michigan
| | - Chad Brummett
- Center for Healthcare Outcomes and Policy, Michigan Medicine, Ann Arbor, Michigan
- Department of Anesthesiology, Michigan Medicine, Ann Arbor, Michigan
| | - Michael Englesbe
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan
- Michigan Opioid Prescribing and Engagement Network, Institute for Healthcare Policy and innovation, Ann Arbor, Michigan
| | - Jennifer Waljee
- Department of Surgery, Michigan Medicine, Ann Arbor, Michigan
- Michigan Opioid Prescribing and Engagement Network, Institute for Healthcare Policy and innovation, Ann Arbor, Michigan
| | - Mark C Bicket
- Michigan Opioid Prescribing and Engagement Network, Institute for Healthcare Policy and innovation, Ann Arbor, Michigan
- Department of Anesthesiology, Michigan Medicine, Ann Arbor, Michigan
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Klemt C, Harvey MJ, Robinson MG, Esposito JG, Yeo I, Kwon YM. Machine learning algorithms predict extended postoperative opioid use in primary total knee arthroplasty. Knee Surg Sports Traumatol Arthrosc 2022; 30:2573-2581. [PMID: 34984528 DOI: 10.1007/s00167-021-06812-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 11/18/2021] [Indexed: 02/02/2023]
Abstract
PURPOSE Adequate postoperative pain control following total knee arthroplasty (TKA) is required to achieve optimal patient recovery. However, the postoperative recovery may lead to an unnaturally extended opioid use, which has been associated with adverse outcomes. This study hypothesizes that machine learning models can accurately predict extended opioid use following primary TKA. METHODS A total of 8873 consecutive patients that underwent primary TKA were evaluated, including 643 patients (7.2%) with extended postoperative opioid use (> 90 days). Electronic patient records were manually reviewed to identify patient demographics and surgical variables associated with prolonged postoperative opioid use. Five machine learning algorithms were developed, encompassing the breadth of state-of-the-art machine learning algorithms available in the literature, to predict extended opioid use following primary TKA, and these models were assessed by discrimination, calibration, and decision curve analysis. RESULTS The strongest predictors for prolonged opioid prescription following primary TKA were preoperative opioid duration (100% importance; p < 0.01), drug abuse (54% importance; p < 0.01), and depression (47% importance; p < 0.01). The five machine learning models all achieved excellent performance across discrimination (AUC > 0.83), calibration, and decision curve analysis. Higher net benefits for all machine learning models were demonstrated, when compared to the default strategies of changing management for all patients or no patients. CONCLUSION The study findings show excellent model performance for the prediction of extended postoperative opioid use following primary total knee arthroplasty, highlighting the potential of these models to assist in preoperatively identifying at risk patients, and allowing the implementation of individualized peri-operative counselling and pain management strategies to mitigate complications associated with prolonged opioid use. LEVEL OF EVIDENCE IV.
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Affiliation(s)
- Christian Klemt
- Bioengineering Laboratory, Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Michael Joseph Harvey
- Bioengineering Laboratory, Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Matthew Gerald Robinson
- Bioengineering Laboratory, Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - John G Esposito
- Bioengineering Laboratory, Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Ingwon Yeo
- Bioengineering Laboratory, Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Young-Min Kwon
- Bioengineering Laboratory, Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
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Cha Y, Jang SY, Yoo JI, Choi HG, Hwang JW, Choy W. Effect of Opioids on All-cause Mortality and Opioid Addiction in Total Hip Arthroplasty: a Korea Nationwide Cohort Study. J Korean Med Sci 2021; 36:e87. [PMID: 33821594 PMCID: PMC8021974 DOI: 10.3346/jkms.2021.36.e87] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 01/14/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND The purpose of this study was to investigate the use of opioids before and after total hip arthroplasty (THA), to find out the effect of opioid use on mortality in patients with THA, and to analyze whether preoperative opioid use is a risk factor for sustained opioid use after surgery using Korean nationwide cohort data. METHODS This retrospective nationwide study identified subjects from the Korean National Health Insurance Service-Sample cohort (NHIS-Sample) compiled by the Korean NHIS. The index date (time zero) was defined as 90 days after an admission to a hospital to fulfill the eligibility criteria of the THA. RESULTS In the comparison of death risk according to current use and the defined daily dose of tramadol and strong opioids in each patient group according to past opioid use, there were no statistically significant differences in the adjusted hazard ratio for death compared to the current non-users in all groups (P > 0.05). Past tramadol and strong opioid use in current users increased the risk of the sustained use of tramadol and strong opioids 1.45-fold (adjusted rate ratio [aRR]; 95% confidence interval [CI], 1.12-1.87; P = 0.004) and 1.65-fold (aRR; 95% CI, 1.43-1.91; P < 0.001), respectively, compared to past non-users. CONCLUSION In THA patients, the use of opioids within 6 months before surgery and within 3 months after surgery does not affect postoperative mortality, but a past-use history of opioid is a risk factor for sustained opioid use. Even after THA, the use of strong opioids is observed to increase compared to before surgery.
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Affiliation(s)
- Yonghan Cha
- Department of Orthopaedic Surgery, Eulji University Hospital, Daejeon, Korea
| | - Suk Yong Jang
- Department of Preventive Medicine, Eulji University College of Medicine, Daejeon, Korea
| | - Jun Il Yoo
- Department of Orthopaedic Surgery, Gyeongsang National University Hospital, Jinju, Korea.
| | - Hyo Gil Choi
- Department of Orthopaedic Surgery, Eulji University Hospital, Daejeon, Korea
| | - Jeong Won Hwang
- Department of Orthopaedic Surgery, Eulji University Hospital, Daejeon, Korea
| | - Wonsik Choy
- Department of Orthopaedic Surgery, Eulji University Hospital, Daejeon, Korea
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Gould D, Dowsey MM, Spelman T, Jo O, Kabir W, Trieu J, Bailey J, Bunzli S, Choong P. Patient-Related Risk Factors for Unplanned 30-Day Hospital Readmission Following Primary and Revision Total Knee Arthroplasty: A Systematic Review and Meta-Analysis. J Clin Med 2021; 10:E134. [PMID: 33401763 PMCID: PMC7795505 DOI: 10.3390/jcm10010134] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 12/27/2020] [Accepted: 12/28/2020] [Indexed: 01/10/2023] Open
Abstract
Total knee arthroplasty (TKA) is a highly effective procedure for advanced osteoarthritis of the knee. Thirty-day hospital readmission is an adverse outcome related to complications, which can be mitigated by identifying associated risk factors. We aimed to identify patient-related characteristics associated with unplanned 30-day readmission following TKA, and to determine the effect size of the association between these risk factors and unplanned 30-day readmission. We searched MEDLINE and EMBASE from inception to 8 September 2020 for English language articles. Reference lists of included articles were searched for additional literature. Patients of interest were TKA recipients (primary and revision) compared for 30-day readmission to any institution, due to any cause, based on patient risk factors; case series were excluded. Two reviewers independently extracted data and carried out critical appraisal. In-hospital complications during the index admission were the strongest risk factors for 30-day readmission in both primary and revision TKA patients, suggesting discharge planning to include closer post-discharge monitoring to prevent avoidable readmission may be warranted. Further research could determine whether closer monitoring post-discharge would prevent unplanned but avoidable readmissions. Increased comorbidity burden correlated with increased risk, as did specific comorbidities. Body mass index was not strongly correlated with readmission risk. Demographic risk factors included low socioeconomic status, but the impact of age on readmission risk was less clear. These risk factors can also be included in predictive models for 30-day readmission in TKA patients to identify high-risk patients as part of risk reduction programs.
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Affiliation(s)
- Daniel Gould
- Department of Surgery, University of Melbourne, St. Vincent’s Hospital Melbourne, 3065 Melbourne, Australia; (M.M.D.); (T.S.); (O.J.); (W.K.); (J.T.); (S.B.); (P.C.)
| | - Michelle M Dowsey
- Department of Surgery, University of Melbourne, St. Vincent’s Hospital Melbourne, 3065 Melbourne, Australia; (M.M.D.); (T.S.); (O.J.); (W.K.); (J.T.); (S.B.); (P.C.)
- Department of Othopaedics, St. Vincent’s Hospital Melbourne, 3065 Melbourne, Australia
| | - Tim Spelman
- Department of Surgery, University of Melbourne, St. Vincent’s Hospital Melbourne, 3065 Melbourne, Australia; (M.M.D.); (T.S.); (O.J.); (W.K.); (J.T.); (S.B.); (P.C.)
| | - Olivia Jo
- Department of Surgery, University of Melbourne, St. Vincent’s Hospital Melbourne, 3065 Melbourne, Australia; (M.M.D.); (T.S.); (O.J.); (W.K.); (J.T.); (S.B.); (P.C.)
| | - Wassif Kabir
- Department of Surgery, University of Melbourne, St. Vincent’s Hospital Melbourne, 3065 Melbourne, Australia; (M.M.D.); (T.S.); (O.J.); (W.K.); (J.T.); (S.B.); (P.C.)
| | - Jason Trieu
- Department of Surgery, University of Melbourne, St. Vincent’s Hospital Melbourne, 3065 Melbourne, Australia; (M.M.D.); (T.S.); (O.J.); (W.K.); (J.T.); (S.B.); (P.C.)
| | - James Bailey
- School of Computing and Information Systems, University of Melbourne, 3052 Melbourne, Australia;
| | - Samantha Bunzli
- Department of Surgery, University of Melbourne, St. Vincent’s Hospital Melbourne, 3065 Melbourne, Australia; (M.M.D.); (T.S.); (O.J.); (W.K.); (J.T.); (S.B.); (P.C.)
| | - Peter Choong
- Department of Surgery, University of Melbourne, St. Vincent’s Hospital Melbourne, 3065 Melbourne, Australia; (M.M.D.); (T.S.); (O.J.); (W.K.); (J.T.); (S.B.); (P.C.)
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6
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Bell JE, Sequeira SB, Chen DQ, Haug EC, Werner BC, Browne JA. Preoperative Pain Management: Is Tramadol a Safe Alternative to Traditional Opioids Before Total Hip Arthroplasty? J Arthroplasty 2020; 35:2886-2891.e1. [PMID: 32466997 DOI: 10.1016/j.arth.2020.04.093] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 04/26/2020] [Accepted: 04/28/2020] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Preoperative opioid use has been associated with worse clinical outcomes and higher rates of prolonged opioid use following lower extremity arthroplasty. Tramadol has been recommended for management of osteoarthritis-related pain; however, outcomes following total hip arthroplasty (THA) in patients taking tramadol in the preoperative period have not been well described. The aim of this study is to examine the effect of preoperative tramadol use on postoperative outcomes in patients undergoing elective THA. METHODS A total of 5304 patients who underwent primary THA for degenerative hip pathology from 2008 to 2014 were identified using the Humana Claims Database. Patients were grouped by preoperative pain management modality into 3 mutually exclusive populations including tramadol, traditional opioid, or nonopioid only. A multivariate logistic regression was used to evaluate all postsurgical outcomes of interest. RESULTS Tramadol users had an increased risk of developing prolonged narcotic use (odds ratio [OR], 2.17; confidence interval [CI], 1.89-2.49; P < .001) following surgery compared to nonopioid-only users. When compared to traditional opioid use, tramadol use was associated with decreased risk of subsequent 90-day minor medical complications (OR, 0.75; CI, 0.62-0.90; P = .002), emergency department visits (OR, 0.70; CI, 0.57-0.85; P < .001), and prolonged narcotic use (OR, 0.43; CI, 0.37-0.49; P < .001). Traditional opioid use significantly increased length of stay by 0.20 days (P = .001) when compared to tramadol use. CONCLUSION Preoperative tramadol use is associated with prolonged opioid use following THA but is not associated with other postoperative complications. Patients taking tramadol preoperatively appear to have a lower risk of postoperative complications compared to patients taking traditional opioids preoperatively.
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Affiliation(s)
- Joshua E Bell
- Department of Orthopaedic Surgery, University of Virginia, Charlottesville, VA
| | - Sean B Sequeira
- Department of Orthopaedic Surgery, University of Virginia, Charlottesville, VA
| | - Dennis Q Chen
- Department of Orthopaedic Surgery, University of Virginia, Charlottesville, VA
| | - Emanuel C Haug
- Department of Orthopaedic Surgery, University of Virginia, Charlottesville, VA
| | - Brian C Werner
- Department of Orthopaedic Surgery, University of Virginia, Charlottesville, VA
| | - James A Browne
- Department of Orthopaedic Surgery, University of Virginia, Charlottesville, VA
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