Aims. The purpose of this study was to determine the association between prior sleeve gastrectomy in patients undergoing primary total hip and knee arthroplasty, and 90-day complications, incidence of revision arthroplasty, and patient-reported outcome scores at final follow-up. Methods. This is a retrospective, single-centre analysis. Patients undergoing primary hip or knee arthroplasty with a prior sleeve gastrectomy were eligible for inclusion (n = 80 patients). A morbidly obese control group was established from the same institutional registry using a 1:2 match, for cases:controls with arthroplasty based on propensity score using age, sex, pre-sleeve gastrectomy BMI, Current Procedural Terminology code to identify anatomical location, and presurgical
The purpose of this study was to develop a personalized outcome prediction tool, to be used with knee arthroplasty patients, that predicts outcomes (lengths of stay (LOS), 90 day readmission, and one-year patient-reported outcome measures (PROMs) on an individual basis and allows for dynamic modifiable risk factors. Data were prospectively collected on all patients who underwent total or unicompartmental knee arthroplasty at a between July 2015 and June 2018. Cohort 1 (n = 5,958) was utilized to develop models for LOS and 90 day readmission. Cohort 2 (n = 2,391, surgery date 2015 to 2017) was utilized to develop models for one-year improvements in Knee Injury and Osteoarthritis Outcome Score (KOOS) pain score, KOOS function score, and KOOS quality of life (QOL) score. Model accuracies within the imputed data set were assessed through cross-validation with root mean square errors (RMSEs) and mean absolute errors (MAEs) for the LOS and PROMs models, and the index of prediction accuracy (IPA), and area under the curve (AUC) for the readmission models. Model accuracies in new patient data sets were assessed with AUC.Aims
Methods
It has been shown that the preoperative modification of risk factors associated with obesity may reduce complications after total knee arthroplasty (TKA). However, the optimal method of doing so remains unclear. The aim of this study was to investigate whether a preoperative Risk Stratification Tool (RST) devised in our institution could reduce unexpected intensive care unit (ICU) transfers and 90-day emergency department (ED) visits, readmissions, and reoperations after TKA in obese patients. We retrospectively reviewed 1,614 consecutive patients undergoing primary unilateral TKA. Their mean age was 65.1 years (17.9 to 87.7) and the mean BMI was 34.2 kg/m2 (SD 7.7). All patients underwent perioperative optimization and monitoring using the RST, which is a validated calculation tool that provides a recommendation for postoperative ICU care or increased nursing support. Patients were divided into three groups: non-obese (BMI < 30 kg/m2, n = 512); obese (BMI 30 kg/m2 to 39.9 kg/m2, n = 748); and morbidly obese (BMI > 40 kg/m2, n = 354). Logistic regression analysis was used to evaluate the outcomes among the groups adjusted for age, sex, smoking, and diabetes.Aims
Methods
Older patients with multiple medical co-morbidities
are increasingly being offered and undergoing total joint arthroplasty
(TJA). These patients are more likely to require intensive care
support, following surgery. We prospectively evaluated the need
for intensive care admission and intervention in a consecutive series
of 738 patients undergoing elective hip and knee arthroplasty procedures.
The mean age was 60.6 years (18 to 91; 440 women, 298 men. Risk
factors, correlating with the need for critical care intervention,
according to published guidelines, were analysed to identify high-risk
patients who would benefit from post-operative critical care monitoring.
A total of 50 patients (6.7%) in our series required critical care
level interventions during their hospital stay. Six independent
multivariate clinical predictors were identified (p <
0.001)
including a history of congestive heart failure (odds ratio (OR)
24.26, 95% confidence interval (CI) 9.51 to 61.91), estimated blood
loss >
1000 mL (OR 17.36, 95% CI 5.36 to 56.19), chronic obstructive
pulmonary disease (13.90, 95% CI 4.78 to 40.36), intra-operative
use of vasopressors (OR 8.10, 95% CI 3.23 to 20.27), revision hip
arthroplasty (OR 2.71, 95% CI 1.04 to 7.04) and body mass index
>
35 kg/m2 (OR 2.70, 95% CI 123 to 5.94). The model was
then validated against an independent, previously published data
set of 1594 consecutive patients. The use of this risk stratification
model can be helpful in predicting which high-risk patients would
benefit from a higher level of monitoring and care after elective
TJA and aid hospitals in allocating precious critical care resources. Cite this article:
Prosthetic joint infection (PJI) remains a serious complication that is associated with high morbidity and costs. The aim of this study was to prepare a systematic review to examine patient-related and perioperative risk factors that can be modified in an attempt to reduce the rate of PJI. A search of PubMed and MEDLINE was conducted for articles published between January 1990 and February 2018 with a combination of search terms to identify studies that dealt with modifiable risk factors for reducing the rate of PJI. An evidence-based review was performed on 12 specific risk factors: glycaemic control, obesity, malnutrition, smoking, vitamin D levels, preoperative Aims
Materials and Methods
Neuropathic changes in the foot are common with
a prevalence of approximately 1%. The diagnosis of neuropathic arthropathy
is often delayed in diabetic patients with harmful consequences
including amputation. The appropriate diagnosis and treatment can
avoid an extensive programme of treatment with significant morbidity
for the patient, high costs and delayed surgery. The pathogenesis
of a Charcot foot involves repetitive micro-trauma in a foot with impaired
sensation and neurovascular changes caused by pathological innervation
of the blood vessels. In most cases, changes are due to a combination
of both pathophysiological factors. The Charcot foot is triggered
by a combination of mechanical, vascular and biological factors
which can lead to late diagnosis and incorrect treatment and eventually
to destruction of the foot. This review aims to raise awareness of the diagnosis of the Charcot
foot (diabetic neuropathic osteoarthropathy and the differential
diagnosis, erysipelas, peripheral arterial occlusive disease) and
describe the ways in which the diagnosis may be made. The clinical
diagnostic pathways based on different classifications are presented. Cite this article:
Satisfactory primary wound healing following
total joint replacement is essential. Wound healing problems can
have devastating consequences for patients. Assessment of their healing
capacity is useful in predicting complications. Local factors that
influence wound healing include multiple previous incisions, extensive
scarring, lymphoedema, and poor vascular perfusion. Systemic factors
include diabetes mellitus, inflammatory arthropathy, renal or liver
disease, immune compromise, corticosteroid therapy, smoking, and
poor nutrition. Modifications in the surgical technique are necessary
in selected cases to minimise potential wound complications. Prompt
and systematic intervention is necessary to address any wound healing
problems to reduce the risks of infection and other potential complications. Cite this article:
We compared the clinical and radiographic results
of total ankle replacement (TAR) performed in non-diabetic and diabetic
patients. We identified 173 patients who underwent unilateral TAR
between 2004 and 2011 with a minimum of two years’ follow-up. There
were 88 male (50.9%) and 85 female (49.1%) patients with a mean
age of 66 years ( The mean AOS and AOFAS scores were significantly better in the
non-diabetic group (p = 0.018 and p = 0.038, respectively). In all,
nine TARs (21%) in the diabetic group had clinical failure at a
mean follow-up of five years (24 to 109), which was significantly
higher than the rate of failure of 15 (11.6%) in the non-diabetic
group (p = 0.004). The uncontrolled diabetic subgroup had a significantly
poorer outcome than the non-diabetic group (p = 0.02), and a higher
rate of delayed wound healing. The incidence of early-onset osteolysis was higher in the diabetic
group than in the non-diabetic group (p = 0.02). These results suggest
that diabetes mellitus, especially with poor glycaemic control,
negatively affects the short- to mid-term outcome after TAR. Cite this article: