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Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_11 | Pages 14 - 14
1 Oct 2019
Sodhi N Vakharia RM Anis HK Ehiorobo JO Garbarino L Gold P Roche MW Mont MA
Full Access

Introduction

Emergency department (ED) visits following primary total knee arthroplasty (TKA) can lead to poor patient satisfaction, potentially unnecessary readmissions, and greater overall healthcare costs. Reasons for post-operative ED visits are often entirely medical in nature and can be independent of the recent operation. Several strategies have been developed to help reduce ED visits. However, one major factor that can play a critical role in addressing potentially avoidable visits is provider and patient education. A major factor that can play a crucial role in addressing potentially avoidable visits is provider and patient education. It follows that a thorough understanding of which patients are visiting the ED and why can help in avoiding the visits. Therefore, the purpose of this study was to investigate: 1) causes and 2) patient-related factors (demographics and comorbidities) associated with ED visits following primary TKA.

Methods

A national private payer database was queried for primary TKAs performed between 2007 and 2016 using the International Classification of Disease, ninth revision (ICD-9) procedural code 81.54. ED visits were identified using Current Procedural Terminology (CPT) codes 99281 to 99285. Patients with 90-day ED visits were in the study group (n=28,044) whereas those without 90-day ED visits served as controls (n=82,289). Causes for ED visits were divided into cardiopulmonary, gastrointestinal, renal, thromboembolic, leg pain, or wound-related. Patient demographics and risk factors assessed included age, gender, and body mass index (BMI) as well as several comorbidities (Table 1). Pearson's chi-square tests were performed to compare patient demographics and comorbidities between the cohorts. In order to adjust for potential confounders, multivariate binomial logistic regression analysis was performed to further evaluate the associations between patient factors and 90-day ED visits. A p-value less than 0.01 was considered statistically significant.


Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_11 | Pages 17 - 17
1 Oct 2019
Thirunavukkarasu S Sierra RJ El-Zoghby Z
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Introduction

Patients with solid organ transplant have been shown to have increased risk of complications following TKA compared to non-transplant patients. The risk of AKI in KTx is reported to be as high as 15.6 % and associated with increased morbidity, and length of stay (LOS). Our aim was to determine the incidence of AKI in KTx undergoing primary and revision TKA and to identify risk factors for its occurrence and its effect on allograft function 1 year postoperatively.

Methods

Using the orthopedic and transplant databases we designed a case-control study of 82 patients undergoing 101 TKA between 2000 and 2018 at our institution. The average age at surgery was 65 years (range 35–83); 58% male and 98% white. AKI was defined per KIDGO guidelines.


The Bone & Joint Journal
Vol. 98-B, Issue 3 | Pages 334 - 340
1 Mar 2016
Tayton ER Frampton C Hooper GJ Young SW

Aims

The aim of this study was to identify risk factors for prosthetic joint infection (PJI) following total knee arthroplasty (TKA).

Patients and Methods

The New Zealand Joint Registry database was analysed, using revision surgery for PJI at six and 12 months after surgery as primary outcome measures. Statistical associations between revision for infection, with common and definable surgical and patient factors were tested.


The Bone & Joint Journal
Vol. 105-B, Issue 9 | Pages 971 - 976
1 Sep 2023
Bourget-Murray J Piroozfar S Smith C Ellison J Bansal R Sharma R Evaniew N Johnson A Powell JN

Aims

This study aims to determine difference in annual rate of early-onset (≤ 90 days) deep surgical site infection (SSI) following primary total knee arthroplasty (TKA) for osteoarthritis, and to identify risk factors that may be associated with infection.

Methods

This is a retrospective population-based cohort study using prospectively collected patient-level data between 1 January 2013 and 1 March 2020. The diagnosis of deep SSI was defined as per the Centers for Disease Control/National Healthcare Safety Network criteria. The Mann-Kendall Trend test was used to detect monotonic trends in annual rates of early-onset deep SSI over time. Multiple logistic regression was used to analyze the effect of different patient, surgical, and healthcare setting factors on the risk of developing a deep SSI within 90 days from surgery for patients with complete data. We also report 90-day mortality.