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Akhtar M, Razick D, Mamidi D, Aamer S, Siddiqui F, Wen J, Shekhar S, Shekhar A, Lin JS. Complications, Readmissions, and Reoperations in Outpatient vs Inpatient Total Ankle Arthroplasty: A Systematic Review and Meta-analysis. FOOT & ANKLE ORTHOPAEDICS 2024; 9:24730114241264569. [PMID: 39070904 PMCID: PMC11282521 DOI: 10.1177/24730114241264569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2024] Open
Abstract
Background Total ankle arthroplasty (TAA) has primarily been performed in the inpatient setting. However, with the advent of fast-tracked joint arthroplasty protocols, TAA has slowly been shifting to the outpatient setting. Therefore, this systematic review aims to evaluate outcomes of outpatient TAA and compare them to inpatient TAA. Methods A literature search was performed on October 23, 2023, in the PubMed, Embase, and CENTRAL databases using the PRISMA guidelines. Studies were included if they reported on outcomes of outpatient TAA or compared outcomes between outpatient and inpatient TAA. Pooled odds ratios (ORs) and mean differences were calculated using a random effects model. Quality assessment was performed using the MINORS criteria. Results 12 studies were included, with 4 outpatient-only and 8 outpatient-inpatient comparative studies. Patients in the outpatient group were relatively younger, had a lower body mass index, and had fewer comorbidities relative to the inpatient group. For outpatient vs inpatient TAA, the pooled complication rate was 2.6% vs 3.6%, readmission rate was 2.5% vs 4%, and reoperation rate was 3.6% vs 5.5%. We found significantly lower odds of complications (OR = 0.47, CI: 0.26-0.85; P = .01), readmissions (OR = 0.63, CI: 0.54-0.74; P < .00001), and reoperations (OR = 0.66, CI: 0.46-0.95; P = .03) in the outpatient vs inpatient group. Conclusion Although this analysis is limited by the dominance of data included from a single study, we found that outpatient TAA was generally performed on lower-risk patients and was associated with lower rates of complications, readmissions, and reoperations compared with inpatient TAA.
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Affiliation(s)
- Muzammil Akhtar
- College of Medicine, California Northstate University, Elk Grove, CA, USA
| | - Daniel Razick
- College of Medicine, California Northstate University, Elk Grove, CA, USA
| | - Deeksha Mamidi
- College of Medicine, California Northstate University, Elk Grove, CA, USA
| | - Sonia Aamer
- College of Medicine, California Northstate University, Elk Grove, CA, USA
| | - Fayez Siddiqui
- College of Medicine, California Northstate University, Elk Grove, CA, USA
| | - Jimmy Wen
- College of Medicine, California Northstate University, Elk Grove, CA, USA
| | - Sakthi Shekhar
- Department of Orthopaedic Surgery, Good Samaritan Regional Medical Center, Corovalis, OR, USA
| | - Adithya Shekhar
- Department of Orthopaedic Surgery, Good Samaritan Regional Medical Center, Corovalis, OR, USA
| | - Jason S. Lin
- Department of Orthopaedic Surgery, Good Samaritan Regional Medical Center, Corovalis, OR, USA
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Wolfe I, Demetracopoulos CA, Ellis SJ, Conti MS. Outpatient Total Ankle Arthroplasty (TAA) as a Rising Alternative to Inpatient TAA: A Database Analysis. Foot Ankle Int 2023; 44:1271-1277. [PMID: 37772875 DOI: 10.1177/10711007231199090] [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: 09/30/2023]
Abstract
BACKGROUND There is growing evidence that total ankle arthroplasty (TAA) can safely be performed as an outpatient procedure, with the benefit of decreased health care expenses and improved patient satisfaction. The purpose of our study was to compare readmissions, arthroplasty failures, infections, and annual trends between outpatient and inpatient TAA using a large publicly available for-fee database. METHODS The PearlDiver Database was queried to identify outpatient and inpatient TAA-associated claims for several payer types from January 2010 to October 2021. Preoperative patient characteristics and annual trends were compared for inpatient and outpatient TAA. International Classification of Diseases, Ninth and Tenth Revision, diagnosis codes were used to identify infections and arthroplasty failures. Complications rates were compared after matching patients by age, gender, and the following comorbidities: diabetes, smoking, congestive heart failure (CHF), hypertension (HTN), obesity, and chronic kidney disease (CKD). RESULTS A total of 12 274 patients were included in the final exact-matched analysis for complications, with 6137 patients in each group. Outpatients had a significantly lower rate of readmission within 90 days (2.6% vs 4.0%, P < .001), arthroplasty failure (4.1% vs 6.9%, P < .001), and infection (2.4% vs 3.1%, P = .015). Among database enrollees, outpatient TAA has risen in proportion to inpatient TAA from 2019 to 2021. CONCLUSION Outpatient TAA had lower rates of risk-adjusted readmission, arthroplasty failure, and infection compared to inpatient TAA. LEVEL OF EVIDENCE Level III, retrospective comparative database study.
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Affiliation(s)
- Isabel Wolfe
- Weill Cornell Medical College, New York, NY, USA
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Lewis LK, Jupiter DC, Panchbhavi VK, Chen J. Five-Factor Modified Frailty Index as a Predictor of Complications Following Total Ankle Arthroplasty. Foot Ankle Spec 2023:19386400231169368. [PMID: 37148165 DOI: 10.1177/19386400231169368] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
INTRODUCTION Ankle arthritis adversely affects patients' function and quality of life. Treatment options for end-stage ankle arthritis include total ankle arthroplasty (TAA). A 5-item modified frailty index (mFI-5) has predicted adverse outcomes following multiple orthopaedic procedures; this study evaluated its suitability as a risk-stratification tool in patients undergoing TAA. METHODS The National Surgical Quality Improvement Program (NSQIP) database was retrospectively reviewed for patients undergoing TAA between 2011 and 2017. Bivariate and multivariate statistical analyses were performed to investigate frailty as a possible predictor of postoperative complications. RESULTS In total, 1035 patients were identified. When comparing patients with an mFI-5 score of 0 versus ≥2, overall complication rates significantly increased from 5.24% to 19.38%, 30-day readmission rate increased from 0.24% to 3.1%, adverse discharge rate increased from 3.81% to 15.5%, and wound complications increased from 0.24% to 1.55%. After multivariate analysis, mFI-5 score remained significantly associated with patients' risk of developing any complication (P = .03) and 30-day readmission rate (P = .005). CONCLUSIONS Frailty is associated with adverse outcomes following TAA. The mFI-5 can help identify patients who are at an elevated risk of sustaining a complication, allowing for improved decision-making and perioperative care when considering TAA. LEVELS OF EVIDENCE III, Prognostic.
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Affiliation(s)
- Lauren K Lewis
- Department of Orthopaedic Surgery and Rehabilitation, The University of Texas Medical Branch at Galveston, Galveston, Texas
| | - Daniel C Jupiter
- Department of Orthopaedic Surgery and Rehabilitation, The University of Texas Medical Branch at Galveston, Galveston, Texas
- Department of Preventive Medicine and Population Health, The University of Texas Medical Branch at Galveston, Galveston, Texas
| | - Vinod K Panchbhavi
- Department of Orthopaedic Surgery and Rehabilitation, The University of Texas Medical Branch at Galveston, Galveston, Texas
| | - Jie Chen
- Department of Orthopaedic Surgery and Rehabilitation, The University of Texas Medical Branch at Galveston, Galveston, Texas
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Roberts N, Carrigan A, Clay-Williams R, Hibbert PD, Mahmoud Z, Pomare C, Fajardo Pulido D, Meulenbroeks I, Knaggs GT, Austin EE, Churruca K, Ellis LA, Long JC, Hutchinson K, Best S, Nic Giolla Easpaig B, Sarkies MN, Francis Auton E, Hatem S, Dammery G, Nguyen MT, Nguyen HM, Arnolda G, Rapport F, Zurynski Y, Maka K, Braithwaite J. Innovative models of healthcare delivery: an umbrella review of reviews. BMJ Open 2023; 13:e066270. [PMID: 36822811 PMCID: PMC9950590 DOI: 10.1136/bmjopen-2022-066270] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/25/2023] Open
Abstract
OBJECTIVE To undertake a synthesis of evidence-based research for seven innovative models of care to inform the development of new hospitals. DESIGN Umbrella review. SETTING Interventions delivered inside and outside of acute care settings. PARTICIPANTS Children and adults with one or more identified acute or chronic health conditions. DATA SOURCES PsycINFO, Ovid MEDLINE and CINAHL. PRIMARY AND SECONDARY OUTCOME MEASURES Clinical indicators and mortality, healthcare utilisation, quality of life, self-management and self-care and patient knowledge. RESULTS A total of 66 reviews were included, synthesising evidence from 1272 primary studies across the 7 models of care. Virtual care was the most common model studied, addressed by 47 (73%) of the reviews. Common outcomes evaluated across reviews were clinical indicators and mortality, healthcare utilisation, self-care and self-management, patient knowledge, quality of life and cost-effectiveness. The findings indicate that the innovative models of healthcare we identified in this review may be effective in managing patients with a range of acute and chronic conditions. Most of the included reviews reported evidence of comparable or improved care. CONCLUSIONS A consideration of local infrastructure and individual patient characteristics, such as health literacy, may be critical in determining the suitability of models of care for patients and their implementation in local health systems. TRIAL REGISTRATION NUMBER 10.17605/OSF.IO/PS6ZU.
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Affiliation(s)
- Natalie Roberts
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Ann Carrigan
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Robyn Clay-Williams
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Peter D Hibbert
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- Division of Health Sciences, University of South Australia, Adelaide, South Australia, Australia
| | - Zeyad Mahmoud
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- LEMNA, F-44000, Universite de Nantes, Nantes, France
| | - Chiara Pomare
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Diana Fajardo Pulido
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Isabelle Meulenbroeks
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Gilbert Thomas Knaggs
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Elizabeth E Austin
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Kate Churruca
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Louise A Ellis
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Janet C Long
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Karen Hutchinson
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Stephanie Best
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
- Australian Genomics, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Brona Nic Giolla Easpaig
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Mitchell N Sarkies
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Emilie Francis Auton
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Sarah Hatem
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Genevieve Dammery
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Mai-Tran Nguyen
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Hoa Mi Nguyen
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Gaston Arnolda
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Frances Rapport
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Yvonne Zurynski
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Katherine Maka
- Western Sydney Local Health District, Wentworthville, New South Wales, Australia
| | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
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