Robotics and Navigation Do Not Affect the Risk of Periprosthetic Joint Infection Following Primary Total Hip Arthroplasty: A Propensity Score-Matched Cohort Analysis.

BACKGROUND: The use of computer navigation or robotic assistance during primary total hip arthroplasty (THA) has yielded numerous benefits due to more accurate component positioning. The utilization of these tools is generally associated with longer operative times and also necessitates additional surgical equipment and personnel in the operating room. Thus, the aim of this study was to evaluate the impact of technology assistance on periprosthetic joint infection (PJI) after primary THA. METHODS: We retrospectively reviewed the records for 12,726 patients who had undergone primary THA at a single high-volume institution between 2018 and 2021. Patients were stratified by surgical technique (conventional THA, computer-navigated THA [CN-THA], or robotic-assisted THA [RA-THA]) and were matched 1:1 with use of propensity score matching. Univariate and logistic regression analyses were performed to compare the rates of PJI within 90 days postoperatively between the cohorts. RESULTS: After propensity score matching, there were 4,006 patients in the THA versus RA-THA analysis (2,003 in each group) and 5,288 patients in the THA versus CN-THA analysis (2,644 in each group). CN-THA (p < 0.001) and RA-THA (p < 0.001) were associated with longer operative times compared with conventional THA by 3 and 11 minutes, respectively. The rates of PJI after conventional THA (0.2% to 0.4%) were similar to those after CN-THA (0.4%) and RA-THA (0.4%). On the basis of logistic regression, the development of PJI was not associated with the use of computer navigation (odds ratio [OR], 1.8 [95% confidence interval (CI), 0.7 to 5.3]; p = 0.232) or robotic assistance (OR, 0.9 [95% CI, 0.3 to 2.3]; p = 0.808). CONCLUSIONS: Despite longer operative times associated with the use of computer navigation and robotic assistance, the use of these tools was not associated with an increased risk of PJI within 90 days after surgery. LEVEL OF EVIDENCE: Therapeutic Level III . See Instructions for Authors for a complete description of levels of evidence.

Taking a Deeper Dive Into Malnutrition and Revision Arthroplasty: When Do Nutritionists Get Involved?

BACKGROUND: Perioperative malnutrition is associated with increased complications and mortality following revision total joint arthroplasty (rTJA). Nutritional consultations are useful in characterizing patient nutritional status but are inconsistently utilized post rTJA. We sought: 1) to describe the prevalence of nutritional consultations post rTJA, 2) to determine if septic rTJA patients needed consultations more often, and 3) if a diagnosis of 'malnutrition' from the nutritionist conferred increased readmission rates. METHODS: A retrospective study of 2,697 rTJAs performed in a single institution over a 4-year period was performed. Patient demographics, reasons for rTJA, occurrences of nutritional consultation (indicated if body mass index < 20, malnutrition screening tool score ≥ 2, or poor oral intake postoperatively), specific nutritional diagnosis (according to 2020 Electronic Nutrition Care Process Terminology and 90-day readmission rates were recorded and analyzed). Rates of consultations and adjusted logistic regressions were calculated. RESULTS: There were 501 patients (18.6%) who required nutritional consultations, with 55 (11.0%) of these patients receiving a 'malnutrition' diagnosis. Septic rTJA patients required significantly more nutritional consultations (P < .01) and were significantly more likely to have 'malnutrition' (P = .49). A diagnosis of malnutrition was associated with the highest odds of all-cause readmission (odds ratio (OR) = 3.89, P = .01), which was even higher than undergoing a septic rTJA. CONCLUSION: Nutritional consultations occur frequently following rTJA. Patients who receive a diagnosis of 'malnutrition' through consultation are at significantly higher risk for readmission and require close follow-up. Future efforts are needed to further characterize these patients in order to identify as well as optimize them preoperatively.