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Longo UG, De Salvatore S, Valente F, Villa Corta M, Violante B, Samuelsson K. Artificial intelligence in total and unicompartmental knee arthroplasty. BMC Musculoskelet Disord 2024; 25:571. [PMID: 39034416 PMCID: PMC11265144 DOI: 10.1186/s12891-024-07516-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 05/13/2024] [Indexed: 07/23/2024] Open
Abstract
The application of Artificial intelligence (AI) and machine learning (ML) tools in total (TKA) and unicompartmental knee arthroplasty (UKA) emerges with the potential to improve patient-centered decision-making and outcome prediction in orthopedics, as ML algorithms can generate patient-specific risk models. This review aims to evaluate the potential of the application of AI/ML models in the prediction of TKA outcomes and the identification of populations at risk.An extensive search in the following databases: MEDLINE, Scopus, Cinahl, Google Scholar, and EMBASE was conducted using the PIOS approach to formulate the research question. The PRISMA guideline was used for reporting the evidence of the data extracted. A modified eight-item MINORS checklist was employed for the quality assessment. The databases were screened from the inception to June 2022.Forty-four out of the 542 initially selected articles were eligible for the data analysis; 5 further articles were identified and added to the review from the PUBMED database, for a total of 49 articles included. A total of 2,595,780 patients were identified, with an overall average age of the patients of 70.2 years ± 7.9 years old. The five most common AI/ML models identified in the selected articles were: RF, in 38.77% of studies; GBM, in 36.73% of studies; ANN in 34.7% of articles; LR, in 32.65%; SVM in 26.53% of articles.This systematic review evaluated the possible uses of AI/ML models in TKA, highlighting their potential to lead to more accurate predictions, less time-consuming data processing, and improved decision-making, all while minimizing user input bias to provide risk-based patient-specific care.
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Affiliation(s)
- Umile Giuseppe Longo
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, Rome, 200 - 00128, Italy.
- Department of Medicine and Surgery, Research Unit of Orthopaedic and Trauma Surgery, Università Campus Bio-Medico Di Roma, Via Alvaro del Portillo, Rome, 21 - 00128, Italy.
| | - Sergio De Salvatore
- IRCCS Ospedale Pediatrico Bambino Gesù, Rome, Italy
- Orthopedic Unit, Department of Surgery, Bambino Gesù Children's Hospital, Rome, Italy
| | - Federica Valente
- Department of Medicine and Surgery, Research Unit of Orthopaedic and Trauma Surgery, Università Campus Bio-Medico Di Roma, Via Alvaro del Portillo, Rome, 21 - 00128, Italy
| | - Mariajose Villa Corta
- Department of Medicine and Surgery, Research Unit of Orthopaedic and Trauma Surgery, Università Campus Bio-Medico Di Roma, Via Alvaro del Portillo, Rome, 21 - 00128, Italy
| | - Bruno Violante
- Orthopaedic Department, Clinical Institute Sant'Ambrogio, IRCCS - Galeazzi, Milan, Italy
| | - Kristian Samuelsson
- Department of Medicine and Surgery, Research Unit of Orthopaedic and Trauma Surgery, Università Campus Bio-Medico Di Roma, Via Alvaro del Portillo, Rome, 21 - 00128, Italy
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Crane P, Morris J, Egan W, Young JL, Nova V, Rhon DI. Only 1% of Total Knee Arthroplasty Clinical Trials Report Patient Opioid Use Before or After Surgery: A Systematic Review. Clin J Pain 2023; 39:467-472. [PMID: 37335227 DOI: 10.1097/ajp.0000000000001139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/06/2023] [Indexed: 06/21/2023]
Abstract
OBJECTIVES Many clinical trials report significant improvements in osteoarthritis-related pain and function after total knee arthroplasty (TKA). Opioids are commonly prescribed for pain management of knee osteoarthritis and also perioperative pain after surgery. The extent of persistent opioid use after TKA is unknown. Because up to 20% of individuals have poor outcomes after TKA and prior opioid use is a risk factor for future opioid use, treatment effects from TKA clinical trials would be better understood by assessing opioid use data from trial participants. The purpose of this review was to determine the proportion of participants in TKA trials with opioid use before surgery and persistent use after surgery and how well clinical trials capture and report these variables. MATERIALS AND METHODS A systematic review of the literature (5 databases: CINAHL Cochrane CENTRAL, Embase, PubMed, and Web of Science) was conducted to assess the reporting of opioid use in TKA clinical trials. All opioid use was extracted, both prior and postoperatively. Long-term opioid use was determined using 4 different contemporary definitions to increase the sensitivity of the assessment. RESULTS The search produced 24,252 titles and abstracts, and 324 met the final inclusion criteria. Only 4 of the 324 trials (1.2%) reported any type of opioid use; 1 identified prior opioid use, and none reported long-term opioid use after surgery. Only 1% of TKA clinical trials in the past 15 years reported any opioid use. DISCUSSION Based on available research, it is not possible to determine if TKA is effective in reducing reliance on opioids for pain management. It also highlights the need to better track and report prior and long-term opioid use as a core outcome in future TKA trials.
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Affiliation(s)
- Patricia Crane
- Doctor of Science in Physical Therapy Program, Bellin College, Green Bay, WI
- MossRehab
- Department of Physical Therapy, Temple University
| | - John Morris
- Doctor of Science in Physical Therapy Program, Bellin College, Green Bay, WI
- MossRehab
| | - William Egan
- Doctor of Science in Physical Therapy Program, Bellin College, Green Bay, WI
- Department of Physical Therapy, Temple University
| | - Jodi L Young
- Doctor of Science in Physical Therapy Program, Bellin College, Green Bay, WI
| | - Vitalina Nova
- Charles Library, Temple University, Philadelphia, PA
| | - Daniel I Rhon
- Doctor of Science in Physical Therapy Program, Bellin College, Green Bay, WI
- Department of Rehabilitation Medicine, School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD
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Foster NE, L E, L D, M H. Osteoarthritis year in review 2022: epidemiology & therapy. Osteoarthritis Cartilage 2023:S1063-4584(23)00730-6. [PMID: 36963607 DOI: 10.1016/j.joca.2023.03.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/09/2023] [Accepted: 03/15/2023] [Indexed: 03/26/2023]
Abstract
This 'Year in Review' provides a synopsis of key research themes and individual studies from the clinical osteoarthritis (OA) field, focused on epidemiology and therapy. The electronic database search for the review was adapted from the 2021 year in review search, to increase search specificity for relevant study designs, and was conducted in Medline, Embase and medRxiv (31st March 2021 to 4th March 2022). Following screening for eligibility, studies were grouped according to their key research design, including reviews, cohorts and randomised trials. 11 key themes emerged, including the importance of several comorbidities in predicting OA incidence and prevalence, surgical approaches that can reduce the risk of post-traumatic OA, the heterogenous but nevertheless relatively stable nature of OA subgroup trajectories, the paucity of robust studies particularly of surgery for OA and the very modest benefit of many therapies under evaluation in trials. A particular interest of the authors was to consider whether new studies are helping determine how to better ensure the right patient with OA is matched to the right treatment at the right time. There are several new studies developing improved predictive models through big data analytics and machine learning which show promise, need validation, and may support new approaches to stratified care.
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Affiliation(s)
- Nadine E Foster
- STARS Education and Research Alliance, Surgical Treatment and Rehabilitation Service (STARS), The University of Queensland and Metro North Health, Queensland, Australia.
| | - Eriksson L
- Lars Eriksson, The University of Queensland, UQ Library, Herston Qld 4006, Queensland, Australia.
| | - Deveza L
- Institute of Bone and Joint Research, Kolling Institute of Medical Research, The University of Sydney, Sydney, New South Wales, Australia; Department of Rheumatology, Northern Clinical School, Royal North Shore Hospital, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
| | - Hall M
- Centre for Health, Exercise and Sports Medicine, University of Melbourne, Victoria, Australia.
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Wirth K, Bähler C, Boes S, Näpflin M, Huber CA, Blozik E. Opioid prescriptions after knee replacement: a retrospective study of pathways and prognostic factors in the Swiss healthcare setting. BMJ Open 2023; 13:e067542. [PMID: 36889828 PMCID: PMC10008278 DOI: 10.1136/bmjopen-2022-067542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/10/2023] Open
Abstract
OBJECTIVES The optimal use of opioids after knee replacement (KR) remains to be determined, given the growing evidence that opioids are no more effective than other analgesics and that their adverse effects can impair quality of life. Therefore, the objective is to examine opioid prescriptions after KR. DESIGN In this retrospective study, we used descriptive statistics and estimated the association of prognostic factors using generalised negative binomial models. SETTING The study is based on anonymised claims data of patients with mandatory health insurance at Helsana, a leading Swiss health insurance. PARTICIPANTS Overall, 9122 patients undergoing KR between 2015 and 2018 were identified. PRIMARY AND SECONDARY OUTCOME MEASURES Based on reimbursed bills, we calculated the dosage (morphine equivalent dose, MED) and the episode length (acute: <90 days; subacute: ≥90 to <120 days or <10 claims; chronic: ≥90 days and ≥10 claims or ≥120 days). The incidence rate ratios (IRRs) for postoperative opioids were calculated. RESULTS Of all patients, 3445 (37.8%) received opioids in the postoperative year. A large majority had acute episodes (3067, 89.0%), 2211 (65.0%) had peak MED levels above 100 mg/day and most patients received opioids in the first 10 postoperative weeks (2881, 31.6%). Increasing age (66-75 and >75 vs 18-65) was associated with decreased IRR (0.776 (95% CI 0.7 to 0.859); 0.723 (95% CI 0.649 to 0.805)), whereas preoperative non-opioid analgesics and opioids were associated with higher IRR (1.271 (95% CI 1.155 to 1.399); 3.977 (95% CI 4.409 to 3.591)). CONCLUSION The high opioid demand is unexpected given that current recommendations advise using opioids only when other pain therapies are ineffective. To ensure medication safety, it is important to consider alternative treatment options and ensure that benefits outweigh potential risks.
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Affiliation(s)
- Kevin Wirth
- Department of Health Sciences, Helsana Group, Zurich, Switzerland
- Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
| | - Caroline Bähler
- Department of Health Sciences, Helsana Group, Zurich, Switzerland
| | - Stefan Boes
- Department of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland
| | - Markus Näpflin
- Department of Health Sciences, Helsana Group, Zurich, Switzerland
| | - Carola A Huber
- Department of Health Sciences, Helsana Group, Zurich, Switzerland
- Institute of Primary Care, University of Zurich, Zurich, Switzerland
| | - Eva Blozik
- Department of Health Sciences, Helsana Group, Zurich, Switzerland
- Institute of Primary Care, University of Zurich, Zurich, Switzerland
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Goplen CM, Pedersen ME, Ramadi A, Beaupre LA. Opioid prescribing practices prior to elective foot and ankle surgery: a population-based evaluation using health administrative data from a tertiary hospital in Canada. BMC PRIMARY CARE 2022; 23:116. [PMID: 35549666 PMCID: PMC9097109 DOI: 10.1186/s12875-022-01722-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 04/22/2022] [Indexed: 11/10/2022]
Abstract
Abstract
Background
Complex elective foot and ankle surgery is known to be painful so most patients are prescribed opioids at the time of surgery; however, the number of patients prescribed opioids while waiting for surgery in Canada is unknown. Our primary objective was to describe the pre and postoperative prescribing practices for patients in Alberta, Canada undergoing complex elective foot and ankle surgery. Secondarily, we evaluated postoperative opioid usage and hospital outcomes.
Methods
In this population-based retrospective analysis, we identified all adult patients who underwent unilateral elective orthopedic foot and ankle surgery at a single tertiary hospital between May 1, 2015 and May 31, 2017. Patient and surgical data were extracted from a retrospective chart review and merged with prospectively collected, individual level drug dispensing administrative data to analyze opioid dispensing patterns, including dose, duration, and prescriber for six months before and after foot and ankle surgery.
Results
Of the 100 patients, 45 had at least one opioid prescription dispensed within six months before surgery, and of these, 19 were long-term opioid users (> 90 days of continuous use). Most opioid users obtained opioid prescriptions from family physicians both before (78%) and after (65%) surgery. No preoperative non-users transitioned to long-term opioid use postoperatively, but 68.4% of the preoperative long-term opioid users remained long-term opioid users postoperatively. During the index hospitalization, preoperative long-term opioid users consumed higher doses of opioids (99.7 ± 120.5 mg/day) compared to opioid naive patients (28.5 ± 36.1 mg/day) (p < 0.001). Long-term opioid users stayed one day longer in hospital than opioid-naive patients (3.9 ± 2.8 days vs 2.7 ± 1.1 days; p = 0.01).
Conclusions
A significant number of patients were dispensed opioids before and after foot and ankle surgery with the majority of prescriptions coming from primary care practitioners. Patients who were prescribed long-term opioids preoperatively were more likely to continue to use opioids at follow-up and required larger in-hospital opioid dosages and stayed longer in hospital. Further research and education for both patients and providers are needed to reduce the community-based prescribing of opioid medication pre-operatively and provide alternative pain management strategies prior to surgery to improve postoperative outcomes and reduce long-term postoperative opioid use.
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Milne AD, Brousseau PA, Mullins GS. Use of a provincial prescription monitoring database to characterize perioperative opioid prescribing for hip and knee arthroplasty. Can J Anaesth 2022; 69:1070-1072. [DOI: 10.1007/s12630-022-02213-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 11/23/2021] [Accepted: 11/24/2021] [Indexed: 10/19/2022] Open
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Levy N, McNally SA, Lobo DN. The need to improve opioid prescribing and data collection in patients undergoing orthopaedic surgery. Anaesthesia 2022; 77:854-857. [PMID: 35762197 DOI: 10.1111/anae.15784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/23/2022] [Indexed: 11/28/2022]
Affiliation(s)
- N Levy
- Department of Anaesthesia and Peri-operative Medicine, West Suffolk NHS Foundation Trust, Bury St Edmunds, Suffolk, UK
| | - S A McNally
- Department of Trauma and Orthopaedics, East Sussex Healthcare NHS Trust, Eastbourne, Sussex, UK
- Honorary Clinical Professor, Brighton and Sussex Medical School, Brighton, UK
| | - D N Lobo
- Nottingham Digestive Diseases Centre and National Institute for Health Research Nottingham Biomedical Research Centre, Nottingham University Hospitals and University of Nottingham, Nottingham, UK
- David Greenfield Metabolic Physiology Unit, MRC Versus Arthritis Centre for Musculoskeletal Ageing Research, School of Life Sciences, University of Nottingham, Queen's Medical Centre, Nottingham, UK
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