Computer-Navigated and Robotic-Assisted Total Knee Arthroplasty: Increasing in Popularity Without Increasing Complications.

BACKGROUND: Data on the clinical impact of computer navigation (CN) and robotic assistance (RA) in total knee arthroplasty (TKA) are mixed. This study aims to describe modern utilization trends in CN-TKA, RA-TKA, and traditionally-instrumented (TD) TKA and to assess for differences in postoperative complications and opioid consumption by procedure type. METHODS: A national database was queried to identify primary, elective TKA patients from 2015 to 2020. Trends in procedural utilization rates were assessed. Differences in 90-day postoperative complications and inpatient opioid consumption were assessed. Multivariate regression analyses were performed to account for potential confounders. RESULTS: Of the 847,496 patients included, 49,317 (5.82%) and 24,460 (2.89%) underwent CN-TKA and RA-TKA, respectively. CN-TKA utilization increased from 5.64% (2015) to 6.41% (2020) and RA-TKA utilization increased from 0.84% (2015) to 5.89% (2020). After adjusting for confounders, CN-TKA was associated with lower periprosthetic joint infection (P = .001), pulmonary embolism (P < .001), and acute respiratory failure (P = .015) risk compared to traditional (TD) TKA. RA-TKA was associated with lower deep vein thrombosis (P < .001), myocardial infarction (P = .013), and pulmonary embolism (P = .001) risk than TD-TKA. Lower postoperative day 1 opioid usage was seen with CN-TKA and RA-TKA than TD-TKA (P < .001). Lower postoperative day 0 opioid consumption was also seen in RA-TKA (P < .001). CONCLUSION: From 2015 to 2020, there was a relative 13.7% and 601.2% increase in CN-TKAs and RA-TKAs, respectively. This trend was associated with reductions in hospitalization duration, postoperative complications, and opioid consumption. These data support the safety of RA-TKA and CN-TKA compared to TD-TKA. Further investigation into the specific indications for these technology-assisted TKAs is warranted.

Postoperative outcomes and trends in computer-navigated and robotic-assisted total hip arthroplasty.

INTRODUCTION: As the volume of technology-assisted total hip arthroplasty (THA) increases, there is a need to characterise the outcomes of robotic-assisted (RA) and computer-navigated (CN) THA. The goal of this study was to assess outcomes and opioid consumption following CN-THA and RA-THA compared to conventionally-instrumented (CON) THA. METHODS: The Premier Database was queried for all patients who underwent primary, elective THA from 2015-2020. Patients were divided into 3 groups: CN, RA, or CON-THA. Yearly usage trends were assessed. Univariate and multivariate analyses were performed to assess the 90-day risk of postoperative complications. Opioid consumption was reported in morphine milligram equivalents (MME) for postoperative days (POD) 0 and 1. RESULTS: Overall, 474,707 elective THAs were identified (95.7% CON, 2.1% CN, 2.2% RA. After accounting for confounders, CN-THA patients were at decreased risk for periprosthetic joint infection (PJI) (aOR: 0.55, p < 0.001) and dislocation (aOR 0.45, p < 0.001), but increased risk for blood transfusion (aOR 1.97, <0.001) compared to CON-THA. RA-THA patients were at decreased risk of dislocation (aOR:0.66, p < 0.001) but increased risk for transfusion (aOR 1.20, p < 0.001), prosthesis breakage (aOR 3.88, p < 0.001), and periprosthetic fracture (aOR 1.72, p < 0.001). Opioid consumption for CN-THA patients was lower on POD1 and lower for RA-THA patients POD0 and 2 compared to CON-THA. DISCUSSION: CN-THA was associated with reduced rates of PJI and dislocation, but increased rates of blood transfusion while RA-THA was associated with decreased rates of dislocation, but increased rates of blood transfusion, prosthesis complications, and periprosthetic fracture compared to CON-THA. Technology-assisted THA was associated with lower postoperative opioid consumption.

Complete Blood Count Ratios Predict Adverse Events After Total Joint Arthroplasty.

INTRODUCTION: Complete blood count-based ratios (CBRs), including neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) are biomarkers associated with the proinflammatory surgical stress response. This study sought to determine whether preoperative CBRs are associated with postoperative complications, protracted hospital length of stay (LOS), and mortality after total joint arthroplasty, as well as establish threshold values for these outcomes for use in future investigations. METHODS: The Premier Healthcare Database was retrospectively queried for adult patients who underwent primary elective total hip arthroplasty or total knee arthroplasty (TKA). Approximate cut-point values for CBRs were identified by bootstrap simulation using the Youden index. Multivariable adjusted restricted cubic spline models using the predicted cut-point value as the threshold for odds of outcomes were created to identify a final threshold value associated with increased adjusted odds ratio (aOR) of study outcomes. RESULTS: A total of 32,868 total joint arthroplasties (THA: 12,807, TKA: 20,061) were identified. All measures predicted odds of aggregate postoperative complications (THA: NLR TV: 4.60 [aOR = 2.35], PLR TV: 163.4 [aOR = 1.32], MLR TV: 0.40 [aOR = 2.02], SII TV: 977.00 [aOR = 1.54]; TKA: NLR TV: 3.7 [aOR = 1.69], MLR TV: 0.41 [aOR = 1.62], PLR TV: 205.10 [aOR = 1.43], SII TV: 1,013.10 [aOR = 1.62]; all P < 0.05). A MLR > 0.40 [aOR = 1.54] P < 0.001) was associated with LOS ≥3 days after total hip arthroplasty while an NLR > 13.1 [aOR = 1.38] and an MLR > 0.41[aOR = 1.29] were associated with LOS ≥3 days after total knee arthroplasty (both P < 0.001). No association between inflammatory markers and inpatient mortality was observed. CONCLUSION: Given CBRs' ability to both predict outcomes and identify patients with a proinflammatory phenotype, the findings of this study provide a framework for future investigations aimed at identifying and treating high-risk patients with immune-modulating therapies. Continued work to validate these findings by applying TVs to interventional clinical trials is needed before wide clinical adoption.

Medicare Advantage in Soft Tissue Sarcoma May Be Associated with Worse Patient Outcomes.

Medicare Advantage healthcare plans may present undue impediments that result in disparities in patient outcomes. This study aims to compare the outcomes of patients who underwent STS resection based on enrollment in either traditional Medicare (TM) or Medicare Advantage (MA) plans. The Premier Healthcare Database was utilized to identify all patients ≥65 years old who underwent surgery for resection of a lower-extremity STS from 2015 to 2021. These patients were then subdivided based on their Medicare enrollment status (i.e., TM or MA). Patient characteristics, hospital factors, and comorbidities were recorded for each cohort. Bivariable analysis was performed to assess the 90-day risk of postoperative complications. Multivariable analysis controlling for patient sex, as well as demographic and hospital factors found to be significantly different between the cohorts, was also performed. From 2015 to 2021, 1858 patients underwent resection of STS. Of these, 595 (32.0%) had MA coverage and 1048 (56.4%) had TM coverage. The only comorbidities with a significant difference between the cohorts were peripheral vascular disease (p = 0.027) and hypothyroidism (p = 0.022), both with greater frequency in MA patients. After controlling for confounders, MA trended towards having significantly higher odds of pulmonary embolism (adjusted odds ratio (aOR): 1.98, 95% confidence interval (95%-CI): 0.58-6.79), stroke (aOR: 1.14, 95%-CI: 0.20-6.31), surgical site infection (aOR: 1.59, 95%-CI: 0.75-3.37), and 90-day in-hospital death (aOR 1.38, 95%-CI: 0.60-3.19). Overall, statistically significant differences in postoperative outcomes were not achieved in this study. The authors of this study hypothesize that this may be due to study underpowering or the inability to control for other oncologic factors not available in the Premier database. Further research with higher power, such as through multi-institutional collaboration, is warranted to better assess if there truly are no differences in outcomes by Medicare subtype for this patient population.