Background: The effect of diabetes type on the risk of periprosthetic joint infection is not well documented. We hypothesized that patients with diabetes mellitus type 1 would be at greater risk for periprosthetic joint infection than those with diabetes mellitus type 2 and that a history of diabetic complications would be associated with an increased risk of periprosthetic joint infection. Methods: We performed a retrospective cohort study, within a statewide database, on all adult patients who underwent hip or knee arthroplasty, with follow-up of ≥2 years, from 1996 to 2013. Of the 75,478 patients included, 1,668 had type-1 diabetes and 18,186 had type-2 diabetes. Risk factors were calculated using Cox regression, adjusting for siblings and stratified by age. Logistic regression was used to analyze the effect of diabetic complications on the risk of periprosthetic joint infection, controlling for other known risks for periprosthetic joint infection. Results: There was no difference in age or sex between groups (p > 0.05). The frequency of periprosthetic joint infection in patients without diabetes was 2.6% compared with 4.3% in all patients with diabetes (relative risk, 1.47; p < 0.001). Patients with type-1 diabetes were at a 1.8 times greater risk for periprosthetic joint infection than patients with type-2 diabetes (7% compared with 4%; p < 0.001). The following diabetic complications increased the risk of periprosthetic joint infection: peripheral circulatory disorders (odds ratio [OR], 2.59 [95% confidence interval (CI), 1.70 to 3.94]), ketoacidosis (OR, 2.52 [95% CI, 1.51 to 4.19]), neurological manifestations (OR, 2.33 [95% CI, 1.96 to 2.78]), renal manifestations (OR, 2.15 [95% CI, 1.66 to 2.79]), and ophthalmic manifestations (OR, 1.76 [95% CI, 1.24 to 2.51]). The odds of periprosthetic joint infection increased with each added complication and patients with ≥4 complications were 9 times more likely to have a periprosthetic joint infection than patients with uncomplicated diabetes (OR, 9.47 [95% CI, 4.97 to 18.03]). Overweight and obese patients with type-2 diabetes and underweight patients with type-1 diabetes were at greater risk for periprosthetic joint infection compared with the general population (all p < 0.05). Conclusions: Our data showed an increased risk of periprosthetic joint infection in patients with type-1 diabetes compared with those with type-2 diabetes, along with an increasing risk associated with additional diabetic complications. These findings emphasize the need to better understand the medical history of patients with diabetes for more appropriate risk management. Level of Evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Intraoperative fluoroscopy is commonly used to both guide the osteotomy and judge correction of the acetabular fragment in periacetabular osteotomy (PAO). Prior studies that have compared intraoperative fluoroscopic correction with postoperative radiographic correction were small studies that did not report intra- or interreader reliability. (1) What is the correlation between intraoperative fluoroscopic correction in PAO compared with the correction seen on postoperative radiographs? (2) What is the reliability of radiographic measures of correction in PAO? We performed a retrospective study of 121 patients (141 hips) who underwent PAO for symptomatic hip dysplasia at a tertiary referral center. Patients were included in the study if they had preoperative radiographs, intraoperative fluoroscopy, and minimum 6-week postoperative radiographs. Of the 272 PAO procedures performed in this time period, 61 patients who underwent PAO for retroversion and five patients with a history of Perthes disease were excluded as a result of the inability for these radiographic measures to judge fragment correction in PAOs for retroversion and the difficulty in measurement in post-Perthes deformity. Of the 206 PAOs performed for symptomatic acetabular dysplasia, 65 (32%) could not be analyzed because they lacked appropriate preoperative films, leaving 141 PAOs in 121 patients for analysis. The patients lacking appropriate preoperative films had them performed at an outside facility or had plain films that have since been destroyed. The lateral center-edge angle (LCEA) and acetabular index (AI) on the fluoroscopic views and postoperative radiographs were measured by two authors. The concordance between the amount of correction on intraoperative fluoroscopy and minimum 6-week postoperative measurements was analyzed using the concordance correlation coefficient (r_c) and a Bland–Altman analysis. Intra- and interrater reliability was calculated between measurements. The amount of intraoperative correction of LCEA as measured on fluoroscopic images demonstrated substantial agreement with postoperative radiographs (r_c = 0.79; 95% confidence interval [CI], 0.73–0.85; p < 0.001) as did the AI (r_c = 0.77; 95% CI, 0.70–0.84; p < 0.001). The mean difference between intraoperative correction was only −0.38° (SD 3.6°) for LCEA and −0.84° (SD 3.4°) for AI. Interrater reliability for both LCEA and AI also demonstrated substantial agreement (all, r_c = 0.70–0.90) for preoperative, operative, and postoperative imaging. Furthermore, intrarater reliability for both LCEA and AI demonstrated almost perfect agreement for all measures (all, r_c > 0.81). Intraoperative fluoroscopy is an accurate and reliable measure of correction of lateral coverage of the acetabular fragment during PAO. Further studies on measures of anterior coverage and acetabular version are needed to validate intraoperative fluoroscopic correction in these planes. Level III, diagnostic study.

We describe 3 cases of DePuy Pinnacle polyethylene dissociations, their presentations, and treatment. A 34-year-old female with arthritis secondary to dysplasia, a 51-year-old male with avascular necrosis of the femoral head, and a 57-year-old female with osteoarthritis were treated with total hip arthroplasty. Acute nontraumatic polyethylene liner dissociations occurred at 31, 42, and 2 months postoperatively. They were treated with component retention and modular femoral head and liner revision. The 51-year-old male subsequently developed a prosthetic joint infection requiring explant of his components. Although dissociation of polyethylene liners from the DePuy Pinnacle acetabular components is an uncommon complication, this problem may increase in prevalence with longer term follow-up, and vigilance is recommended.

Advances in algorithms developed from sensor-based technology data allow for the passive collection of qualitative gait metrics beyond step counts. The purpose of this study was to evaluate pre- and post-operative gait quality data to assess recovery following primary total knee arthroplasty. This was a multicenter, prospective cohort study. From 6 weeks pre-operative through to 24 weeks post-operative, 686 patients used a digital care management application to collect gait metrics. Average weekly walking speed, step length, timing asymmetry, and double limb support percentage pre- and post-operative values were compared with a paired-samples t-test. Recovery was operationally defined as when the respective weekly average gait metric was no longer statistically different than pre-operative. Walking speed and step length were lowest, and timing asymmetry and double support percentage were greatest at week two post-operative (p < 0.0001). Walking speed recovered at 21 weeks (1.00 m/s, p = 0.063) and double support percentage recovered at week 24 (32%, p = 0.089). Asymmetry percentage was recovered at 13 weeks (14.0%, p = 0.23) and was consistently superior to pre-operative values at week 19 (11.1% vs. 12.5%, p < 0.001). Step length did not recover during the 24-week period (0.60 m vs. 0.59 m, p = 0.004); however, this difference is not likely clinically relevant. The data suggests that gait quality metrics are most negatively affected two weeks post-operatively, recover within the first 24-weeks following TKA, and follow a slower trajectory compared to previously reported step count recoveries. The ability to capture new objective measures of recovery is evident. As more gait quality data is accrued, physicians may be able to use passively collected gait quality data to help direct post-operative recovery using sensor-based care pathways.