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Orthopaedic Proceedings
Vol. 98-B, Issue SUPP_23 | Pages 79 - 79
1 Dec 2016
Chen A Kheir M Tan T Kheir M Maltenfort M
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Aim. Perioperative hyperglycemia has many etiologies including medication, impaired glucose tolerance, uncontrolled diabetes mellitus (DM), or stress, the latter of which is common to post-surgical patients. This acute hyperglycemia may impair the ability of the host to combat infection. 1. Our study aims to investigate if post-operative day 1 (POD1) blood glucose level is associated with complications, including periprosthetic joint infection (PJI), after total joint arthroplasty (TJA) and to determine a threshold for glycemic control that surgeons should strive for during a patient's hospital stay. Method. A single-institution retrospective review was conducted on 24,857 primary TJAs performed from 2001–2015. Demographics, Elixhauser comorbidities, laboratory values, complications and readmissions were collected. POD1 morning blood glucose levels were utilized and correlated with PJI, as defined by the Musculoskeletal Infection Society criteria. The Wald test was used to determine the influence of covariates on complication rate. An alpha level of 0.05 was used to determine statistical significance. Results. The rate of PJI significantly increased linearly from blood glucose levels of 115 mg/dL onwards. We determined that blood glucose (OR 1.004, 95% CI: 1.001–1.006, p=0.001), male gender (OR 1.480, 95% CI: 1.185–1.848, p=0.001), body mass index (OR 1.049, 95% CI: 1.033–1.065, p<0.001), operative time (OR 1.004, 95% CI: 1.001–1.007, p=0.006), length of stay (OR 1.059, 95% CI: 1.038–1.080, p<0.001), post-operative hematocrit (OR 0.751, 95% ci: 0.621–0.909, p=0.003), peripheral vascular disease (OR 1.942, 95% CI: 1.042–3.617, p=0.037), liver disease (OR 2.576, 95% CI: 1.344–4.935, p=0.004), rheumatic disease (OR 1.991, 95% CI: 1.266–3.132, p=0.003), and alcohol abuse (OR 2.588, 95% CI: 1.096–6.110, p=0.030) were associated with PJI. The Youden index was used to determine an optimal blood glucose threshold of 132 mg/dL to reduce the likelihood of PJI. The PJI rate in the entire cohort was 1.59% (1.46% in non-diabetics compared to 2.39% in diabetics, p=0.001). Diabetics did not have an association between blood glucose level and PJI (OR 1.002, 95% CI: 0.998–1.006, p=0.331), although there was a linear trend for postoperative glucose predicting PJI. Conclusions. The relationship between POD1 blood glucose levels and PJI increased linearly, with an optimal cut off of 132 mg/dL. Immediate and strict post-operative glycemic control is critical in reducing post-operative complications, and we demonstrate that even mild hyperglycemia is significantly associated with PJI


The Bone & Joint Journal
Vol. 105-B, Issue 1 | Pages 88 - 96
1 Jan 2023
Vogt B Rupp C Gosheger G Eveslage M Laufer A Toporowski G Roedl R Frommer A

Aims

Distraction osteogenesis with intramedullary lengthening devices has undergone rapid development in the past decade with implant enhancement. In this first single-centre matched-pair analysis we focus on the comparison of treatment with the PRECICE and STRYDE intramedullary lengthening devices and aim to clarify any clinical and radiological differences.

Methods

A single-centre 2:1 matched-pair retrospective analysis of 42 patients treated with the STRYDE and 82 patients treated with the PRECICE nail between May 2013 and November 2020 was conducted. Clinical and lengthening parameters were compared while focusing radiological assessment on osseous alterations related to the nail’s telescopic junction and locking bolts at four different stages.


Orthopaedic Proceedings
Vol. 95-B, Issue SUPP_34 | Pages 235 - 235
1 Dec 2013
Liu J Small T Masch J Goldblum A Klika A Barsoum W
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Introduction:. While indications for total knee (TKA) and hip arthroplasty (THA) have expanded over the last 35 years, implant labeling has largely remained stagnant, with conditions including obesity, developmental dysplasia, and many others (Table 1) still considered as contraindications. Implant labeling has not co-evolved with surgical indications, as most orthopaedic implants are cleared through the 510(k) process, which conserves the labeling of the predicate device. While surgeons can legally use devices for off-label indications, the scrutiny regarding off-label use of orthopaedic implants has intensified. The objective of this study was to determine the incidence of off-label use at our institution, define the risk in terms of revision rate associated with off-label use, and to compare activity level, functional outcomes, and general health outcomes for on- and off-label TKA and THA patients. Methods:. Patients who underwent primary TKA or THA at a large academic tertiary referral center between January 1, 2010 and June 30, 2010 were considered for the study (n = 705). Of this cohort, a convenience sample of 283 patients were selected for the study based on the presence of baseline outcomes data. Patients were contacted via mail and/or phone to collect details regarding potential revision surgeries, UCLA activity scores, short form-12 (SF-12), Knee Injury and Osteoarthritis Outcome Score (KOOS) or Hip Disability and Osteoarthritis Outcome Score (HOOS). Using labeled contraindications from the product inserts from multiple orthopaedic implant manufacturers, procedures were categorized as on-label or off-label. Outcomes including revision rate, activity score, and SF-12, KOOS, and HOOS scores were adjusted for age, gender, and BMI by fitting a logistic model and analyzed using the Wald chi-square test (SPSS, Chicago, IL). Results:. 225 patients responded to the survey (79.5% follow-up), with an average follow-up of 2.4 years (± 0.24). Demographics, including age (p = 0.07) and gender (p = 0.31), were not significantly different between the 2 groups. Since obesity was a contraindication, the off-label group was significantly heavier (mean BMI = 34.0) than the on-label group (mean BMI = 26.0; p < 0.001). The overall rate of cases defined as off-label was 68.4% (154/225), the majority of which were due to obesity (118/154; 76.6%), followed by patients who used steroids, immunosuppressive drugs, or diabetes medication (37/154; 24.0%). Adjusting for age, gender, and BMI, the revision rate for on-label (4/71; 5.6%) compared with off-label (11/154; 7.1%) was not significantly different (p = 0.62). Adjusted UCLA activity scores were not significantly different between on-label (5.9 ± 2.0) and off-label (5.7 ± 2.0) patients (p = 0.56). When comparing the adjusted improvements (i.e. difference between preoperative and postoperative) in SF-12, KOOS, and HOOS scores, only the SF-12 role physical subscore was statistically lower for off-label patients (Table 2; p = 0.03). Discussion:. These pilot data suggest that on- and off-label use of THA and TKA implants result in similar short-term revision rates, activity levels, and functional and general health outcomes. In addition, the improvements realized by off-label patients, as reflected by SF-12 composite scores and KOOS/HOOS quality of life, support the use of these devices in previously contraindicated conditions, with no discernible increased risk of revision