Advertisement for orthosearch.org.uk
Results 1 - 20 of 22
Results per page:
Bone & Joint Research
Vol. 12, Issue 6 | Pages 362 - 371
1 Jun 2023
Xu D Ding C Cheng T Yang C Zhang X

Aims

The present study aimed to investigate whether patients with inflammatory bowel disease (IBD) undergoing joint arthroplasty have a higher incidence of adverse outcomes than those without IBD.

Methods

A comprehensive literature search was conducted to identify eligible studies reporting postoperative outcomes in IBD patients undergoing joint arthroplasty. The primary outcomes included postoperative complications, while the secondary outcomes included unplanned readmission, length of stay (LOS), joint reoperation/implant revision, and cost of care. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using a random-effects model when heterogeneity was substantial.


Bone & Joint Open
Vol. 2, Issue 6 | Pages 388 - 396
1 Jun 2021
Khoshbin A Hoit G Nowak LL Daud A Steiner M Juni P Ravi B Atrey A

Aims

While preoperative bloodwork is routinely ordered, its value in determining which patients are at risk of postoperative readmission following total knee arthroplasty (TKA) and total hip arthroplasty (THA) is unclear. The objective of this study was to determine which routinely ordered preoperative blood markers have the strongest association with acute hospital readmission for patients undergoing elective TKA and THA.

Methods

Two population-based retrospective cohorts were assembled for all adult primary elective TKA (n = 137,969) and THA (n = 78,532) patients between 2011 to 2018 across 678 North American hospitals using the American College of Surgeons National Quality Improvement Programme (ACS-NSQIP) registry. Six routinely ordered preoperative blood markers - albumin, haematocrit, platelet count, white blood cell count (WBC), estimated glomerular filtration rate (eGFR), and sodium level - were queried. The association between preoperative blood marker values and all-cause readmission within 30 days of surgery was compared using univariable analysis and multivariable logistic regression adjusted for relevant patient and treatment factors.


Bone & Joint Open
Vol. 2, Issue 1 | Pages 16 - 21
1 Jan 2021
Kerzner B Kunze KN O’Sullivan MB Pandher K Levine BR

Aims

Advances in surgical technique and implant design may influence the incidence and mechanism of failure resulting in revision total hip arthroplasty (rTHA). The purpose of the current study was to characterize aetiologies requiring rTHA, and to determine whether temporal changes existed in these aetiologies over a ten-year period.

Methods

All rTHAs performed at a single institution from 2009 to 2019 were identified. Demographic information and mode of implant failure was obtained for all patients. Data for rTHA were stratified into two time periods to assess for temporal changes: 2009 to 2013, and 2014 to 2019. Operative reports, radiological imaging, and current procedural terminology (CPT) codes were cross-checked to ensure the accurate classification of revision aetiology for each patient.


Bone & Joint 360
Vol. 6, Issue 5 | Pages 12 - 16
1 Oct 2017


Bone & Joint 360
Vol. 8, Issue 5 | Pages 16 - 19
1 Oct 2019


Bone & Joint 360
Vol. 8, Issue 4 | Pages 19 - 21
1 Aug 2019


Bone & Joint 360
Vol. 5, Issue 6 | Pages 16 - 18
1 Dec 2016


Bone & Joint Open
Vol. 1, Issue 6 | Pages 257 - 260
12 Jun 2020
Beschloss A Mueller J Caldwell JE Ha A Lombardi JM Ozturk A Lehman R Saifi C

Aims

Medical comorbidities are a critical factor in the decision-making process for operative management and risk-stratification. The Hierarchical Condition Categories (HCC) risk adjustment model is a powerful measure of illness severity for patients treated by surgeons. The HCC is utilized by Medicare to predict medical expenditure risk and to reimburse physicians accordingly. HCC weighs comorbidities differently to calculate risk. This study determines the prevalence of medical comorbidities and the average HCC score in Medicare patients being evaluated by neurosurgeons and orthopaedic surgeon, as well as a subset of academic spine surgeons within both specialities, in the USA.

Methods

The Medicare Provider Utilization and Payment Database, which is based on data from the Centers for Medicare and Medicaid Services’ National Claims History Standard Analytic Files, was analyzed for this study. Every surgeon who submitted a valid Medicare Part B non-institutional claim during the 2013 calendar year was included in this study. This database was queried for medical comorbidities and HCC scores of each patient who had, at minimum, a single office visit with a surgeon. This data included 21,204 orthopaedic surgeons and 4,372 neurosurgeons across 54 states/territories in the USA.


Bone & Joint 360
Vol. 8, Issue 3 | Pages 13 - 16
1 Jun 2019


Bone & Joint 360
Vol. 7, Issue 5 | Pages 1 - 1
1 Oct 2018
Ollivere B


Bone & Joint 360
Vol. 6, Issue 3 | Pages 10 - 12
1 Jun 2017


Bone & Joint 360
Vol. 6, Issue 1 | Pages 16 - 19
1 Feb 2017


Bone & Joint 360
Vol. 7, Issue 5 | Pages 16 - 18
1 Oct 2018


Bone & Joint 360
Vol. 7, Issue 5 | Pages 36 - 38
1 Oct 2018


Bone & Joint 360
Vol. 7, Issue 5 | Pages 28 - 30
1 Oct 2018


Bone & Joint 360
Vol. 7, Issue 1 | Pages 35 - 37
1 Feb 2018


Bone & Joint 360
Vol. 6, Issue 5 | Pages 24 - 27
1 Oct 2017


Bone & Joint 360
Vol. 6, Issue 4 | Pages 13 - 15
1 Aug 2017


Bone & Joint 360
Vol. 6, Issue 2 | Pages 14 - 17
1 Apr 2017


Bone & Joint 360
Vol. 5, Issue 3 | Pages 10 - 12
1 Jun 2016