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Background: Use of large clinical and administrative databases for orthopaedic research has increased exponentially. Each database represents unique patient populations and varies in their methodology of data acquisition, which makes it possible that similar research questions posed to different databases might result in answers that differ in important ways., Questions/purposes: (1) What are the differences in reported demographics, comorbidities, and complications for patients undergoing primary TKA among four databases commonly used in orthopaedic research? (2) How does the difference in reported complication rates vary depending on whether only inpatient data or 30-day postoperative data are analyzed?, Methods: Patients who underwent primary TKA during 2010 to 2012 were identified within the National Surgical Quality Improvement Programs (NSQIP), the Nationwide Inpatient Sample (NIS), the Medicare Standard Analytic Files (MED), and the Humana Administrative Claims database (HAC). NSQIP is a clinical registry that captures both inpatient and outpatient events up to 30 days after surgery using clinical reviewers and strict definitions for each variable. The other databases are administrative claims databases with their comorbidity and adverse event data defined by diagnosis and procedure codes used for reimbursement. NIS is limited to inpatient data only, whereas HAC and MED also have outpatient data. The number of patients undergoing primary TKA from each database was 48,248 in HAC, 783,546 in MED, 393,050 in NIS, and 43,220 in NSQIP. NSQIP definitions for comorbidities and surgical complications were matched to corresponding International Classification of Diseases, 9 Revision/Current Procedural Terminology codes and these coding algorithms were used to query NIS, MED, and HAC. Age, sex, comorbidities, and inpatient versus 30-day postoperative complications were compared across the four databases. Given the large sample sizes, statistical significance was often detected for small, clinically unimportant differences; thus, the focus of comparisons was whether the difference reached an absolute difference of twofold to signify an important clinical difference., Results: Although there was a higher proportion of males in NIS and NSQIP and patients in NIS were younger, the difference was slight and well below our predefined threshold for a clinically important difference. There was variation in the prevalence of comorbidities and rates of postoperative complications among databases. The prevalence of chronic obstructive pulmonary disease (COPD) and coagulopathy in HAC and MED was more than twice that in NIS and NSQIP (relative risk [RR] for COPD: MED versus NIS 3.1, MED versus NSQIP 4.5, HAC versus NIS 3.6, HAC versus NSQIP 5.3; RR for coagulopathy: MED versus NIS 3.9, MED versus NSQIP 3.1, HAC versus NIS 3.3, HAC versus NSQIP 2.7; p < 0.001 for all comparisons). NSQIP had more than twice the obesity as NIS (RR 0.35). Rates of stroke within 30 days of TKA had more than a twofold difference among all databases (p < 0.001). HAC had more than twice the rates of 30-day complications at all endpoints compared with NSQIP and more than twice the 30-day infections as MED. A comparison of inpatient and 30-day complications rates demonstrated more than twice the amount of wound infections and deep vein thromboses is captured when data are analyzed out to 30 days after TKA (p < 0.001 for all comparisons)., Conclusions: When evaluating research utilizing large databases, one must pay particular attention to the type of database used (administrative claims, clinical registry, or other kinds of databases), time period included, definitions utilized for specific variables, and the population captured to ensure it is best suited for the specific research question. Furthermore, with the advent of bundled payments, policymakers must meticulously consider the data sources used to ensure the data analytics match historical sources., Level of Evidence: Level III, therapeutic study.

Background: The United States is in the midst of an opioid epidemic. Little is known about perioperative opioid use for total knee arthroplasty (TKA). The purpose of this study was to identify rates of preoperative opioid use, evaluate postoperative trends and identify risk factors for prolonged use after TKA., Methods: Patients who underwent primary TKA from 2007-2014 were identified within the Humana database. Postoperative opioid use was measured by monthly prescription refill rates. A preoperative opioid user (OU) was defined by history of opioid prescription within 3 months prior to TKA and a non-opioid user (NOU) was defined by no history of prior opioid use. Rates of opioid use were trended monthly for one year postoperatively for all cohorts., Results: 73,959 TKA patients were analyzed and 23,532 patients (31.2%) were OU. OU increased from 30.1% in 2007 to 39.3% in 2014 (P < .001). Preoperative opioid use was the strongest predictor for prolonged opioid use following TKA, with OU filling significantly more opioid prescriptions than NOU at every time point analyzed. Younger age, female sex and other intrinsic factors were found to significantly increase the rate of opioid refilling following TKA throughout the postoperative year., Conclusion: Approximately one-third of TKA patients use opioids within 3 months prior to surgery and this percentage has increased over 9% during the years included in this study. Preoperative opioid use was most predictive of increased refills of opioids following TKA. However, other intrinsic patient characteristics were also predictive of prolonged opioid use., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background: When new technologies are introduced, it is important to evaluate the rate of adoption and outcomes compared with preexisting technology. The purpose of this study was to determine the adoption rate of computer-assisted navigation in total knee arthroplasty (TKA), to determine if the short-term complication rate changed over time with navigation, and to compare short-term complication rates of navigated and traditional TKA., Methods: The American College of Surgeons National Surgical Quality Improvement Program database was used to identify 108,277 patients undergoing primary TKA between 2010 and 2014, of which 3573 cases (3.30%) were navigated. Rates of adoption of navigated TKA were determined. Differences in short-term complications by year were compared using propensity score matching., Results: Navigation utilization decreased from 4.96% in 2010 to 3.06% in 2014. Blood transfusion rates for the entire cohort decreased from 19% in 2011 to 6% in 2014, and was not decreased with navigation compared with traditional TKA in 2014 (P = .1309). Operative time was not increased by navigation, and average 94.2 minutes. There were no significant differences in all-cause complications, reoperation rate, unplanned readmission, or length of stay for any year., Conclusions: There was a 38.3% decrease in TKA navigation utilization from 2010-2014. Blood transfusion rates decreased 68% over the 5-year study, and were not decreased with navigation in 2014. Navigation was not found to increase operative time. There were no significant differences in short-term complications, readmission rate, or length of stay between navigated and traditional TKA., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background: Increased operative time has been associated with increased complications after total joint arthroplasty (TJA). The purpose of the present study was to investigate the effect of operative time on short-term complications after TJA while also identifying patient and operative factors associated with prolonged operative times., Methods: The American College of Surgeons National Surgical Quality Improvement Program database was queried from 2011-2013 to identify all patients who underwent primary total hip or knee arthroplasty. Patients were stratified by operative time, and 30-day morbidity and mortality data compared using univariate and multivariable analyses., Results: We identified 99,444 patients who underwent primary TJA. The overall incidence of complications after TJA was 4.9%. Overall complications were increased in patients with operative times >120 minutes (5.9%) as compared to patients with operative times <60 minutes or 60-120 minutes (4.6% and 4.8%, respectively; P < .001). Wound complications, including surgical site infection, were also increased for procedures lasting >120 minutes. In a multivariable analysis, operative time exceeding 120 minutes remained an independent predictor of any complication and wound complication, with each 30-minute increase in operative time beyond 120 minutes further increasing risk. Patient age ≤65 years, male sex, black race, body mass index ≥30 kg/m 2 , and an American Society of Anesthesiologists classification of 3 or 4, predicted operative times >120 minutes., Conclusion: We found that operative time >120 minutes was associated with increased short-term morbidity and mortality after primary TJA. Younger age, male sex, black race, obesity, and increased comorbidity were risk factors for operative time exceeding 120 minutes., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Background: Blood conservation strategies have evolved greatly over the last 5 years. There is a paucity of large blood utilization studies of total hip arthroplasty (THA) and total knee arthroplasty (TKA) that include recently performed surgery. The purpose of this study was to use a large database to evaluate trends in blood transfusion after THA and TKA, including 2015 data., Methods: The Humana data set was reviewed from 2007 to the third quarter of 2015 for all patients undergoing primary THA and TKA. Rates and type of postoperative blood transfusion were trended through the years of the data set. Further subgroup analysis was performed to evaluate the impact of patients' age, gender, geographic location, and obesity on the incidence of blood transfusion using standard statistical techniques., Results: In total, 69,350 THA patients and 139,804 TKA patients were analyzed. Overall transfusion rate was 18.2% and 12.7% after TKA and THA, respectively. The most common type of blood transfused was allogeneic packed red blood cells (88% of all transfusions) followed by perioperative collected autologous blood (12% of all transfusions). There were no transfusions of preoperatively collected autologous blood. Transfusion rates decreased significantly from 21.3%-8.7% and 17.3%-4.4% for THA and TKA, respectively, over the years 2007-2015 (P < .001)., Conclusion: Rates of blood transfusion after primary THA and TKA have fallen precipitously since 2010 and are now down to 9% and 4% for THA and TKA, respectively. Blood management strategies instituted over the last 5 years have had a large impact on transfusion rates after joint arthroplasty., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Background: Infection after total knee arthroplasty (TKA) can result in disastrous consequences. Previous research regarding injections and risk of TKA infection have produced conflicting results and in general have been limited by small cohort size., Questions/purposes: The purpose of this study was to evaluate if intraarticular injection before TKA increases the risk of postoperative infection and to identify if time between injection and TKA affect the risk of TKA infection., Methods: The Humana data set was reviewed from 2007 to 2014 for all patients who received a knee injection before TKA. Current Procedural Terminology (CPT) codes and laterality modifiers were used to identify patients who underwent knee injection followed by ipsilateral TKA. Postoperative infection within 6 months of TKA was identified using International Classification of Diseases, 9 th Revision/CPT codes that represent two infectious endpoints: any postoperative surgical site infection (encompasses all severities of infection) and operative intervention for TKA infection (surrogate for deep TKA infection). The injection cohort was stratified into 12 subgroups by monthly intervals out to 12 months corresponding to the number of months that had elapsed between injection and TKA. Risk of postoperative infection was compared between the injection and no injection cohorts. In total, 29,603 TKAs (35%) had an injection in the ipsilateral knee before the TKA procedure and 54,081 TKA cases (65%) did not. The PearlDiver database does not currently support line-by-line output of patient data, and so we were unable to perform a multivariate analysis to determine whether other important factors may have varied between the study groups that might have had a differential influence on the risk of infection between those groups. However, the Charlson Comorbidity index was no different between the injection and no injection cohorts (2.9 for both) suggesting similar comorbidity profiles between the groups., Results: The proportion of TKAs developing any postoperative infection was higher among TKAs that received an injection before TKA than in those that did not (4.4% versus 3.6%; odds ratio [OR], 1.23; 95% confidence interval [CI], 1.15-1.33; p < 0.001). Likewise, the proportion of TKAs developing infection resulting in return to the operating room after TKA was also higher among TKAs that received an injection before TKA than those that did not (1.49% versus 1.04%; OR, 1.4; 95% CI, 1.3-1.63; p < 0.001). Month-by-month analysis of time between injection and TKA revealed the odds of any postoperative infection remained higher for the injection cohort out to a duration of 6 months between injection and TKA (ORs ranged 1.23 to 1.46 when 1-6 months between injection and TKA; p < 0.05 for all) as did the odds of operative intervention for TKA infection when injection occurred within 7 months of TKA (OR ranged from 1.38 to 1.88 when 1-7 months between injection and TKA; p < 0.05 for all). When the duration between injection and TKA was longer than 6 or 7 months, the ORs were no longer elevated at these endpoints, respectively., Conclusions: Injection before TKA was associated with a higher risk of postoperative infection and appears to be time-dependent with closer proximity between injection and TKA having increased odds of infection. Further research is needed to better evaluate the risk injection before TKA poses for TKA infection; a more definitive relationship could be established with a multivariate analysis to control for other known risk factors for TKA infection., Level of Evidence: Level III, therapeutic study.

Background: Length of hospital stay is a quality metric in joint arthroplasty. Rapid recovery protocols have safely reduced the average length of hospitalization, but it is unclear whether there is a difference in complication and readmission rates between patients discharged the day of surgery or on postoperative day 1 (POD 1). We calculated 30-day complication and readmission after total knee arthroplasty (TKA), total hip arthroplasty (THA), and unicompartmental knee arthroplasty (UKA) based on day of discharge. We then analyzed the rapid recovery group by comparing those discharged the day of surgery and those discharged on POD 1., Methods: Patients undergoing joint arthroplasty between 2011 and 2013 were selected from the American College of Surgeons (ACS) National Surgical Quality Improvement Program. Demographics, comorbidities, and 30-day complication and readmission were determined based on discharge date. Propensity-matched comparisons were performed between patients discharged POD 0 vs POD 1. We used multivariate logistic regression to determine independent risk factors for 30-day complication and readmission., Results: There was no difference in complication or readmission after TKA or UKA between POD 0 or POD 1 discharge. In the propensity-matched cohort in THA, however, there was an increased rate of any complication in the POD 0 compared with the POD 1 discharge cohort. Risk factors for complication and readmission among THA, TKA, and UKA include age >80 years and smoking, and discharge after day 3., Conclusion: Increased length of stay is associated with increased complication and readmission after joint arthroplasty for patients with a hospital stay of 3 or more days. However, in THA, there was an increased complication rate in patients discharged POD 0 as compared to POD 1. Efforts to improve patient selection are expected to reduce short-term complications after outpatient joint arthroplasty. Further research is needed to determine which patients can be discharged POD 0 without increased complication after THA., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Background: Postoperative discharge to a skilled nursing facility after total joint arthroplasty (TJA) is associated with increased costs, complications, and readmission. The purpose of this study was to identify the risk factors for discharge to a location other than home to build a calculator to predict discharge disposition after TJA., Methods: The American College of Surgeons National Surgical Quality Improvement Program database was queried from 2011 to 2013 to identify patients who underwent primary total hip or total knee arthroplasty. Risk factors were compared between patients discharging home vs a facility. Predictors of facility discharge were converted to discrete values to develop a simple numerical calculator., Results: After primary TJA, patients discharged to a facility were typically older (70.9 vs 64.3, P < .001), female (69.5% vs 55.7%, P < .001), had an elevated American Society of Anesthesiologist (ASA) class, and were more likely to be functionally dependent before surgery (3.8% vs 1.1%, P < .001). Patient age, preoperative functional status, nonelective THA for hip fracture, and ASA class were most predictive of facility discharge. After development of a predictive model, scores exceeding 40 and 80 points resulted in a facility discharge probability of 75% and 99%, respectively., Conclusion: In patients undergoing TJA, advanced age, elevated ASA class, and functionally dependent status before surgery strongly predicted facility discharge. Given that facility discharge imposes a significant cost and morbidity burden after TJA, patients, surgeons, and hospitals may use this simple calculator to target this susceptible patient population., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Background: Total joint arthroplasty (TJA) utilization continues to increase, and optimizing efficiency while reducing complications is critical to provide a sustainable product. Recent policy has defined several hospital-acquired conditions (HACs) that are the target of reducing complications with significant financial implications. The present study defines the incidence of HACs after TJA as well as patient and hospital factors associated with HACs., Methods: The National Inpatient Sample (NIS) was used to identify all patients from 2009 to 2011 undergoing elective total hip or knee arthroplasty. Patient demographics, comorbidities, and hospital characteristics were obtained from the database, and HACs defined according to established International Classification of Diseases, Ninth Revision, Clinical Modification criteria. The incidence of HACs after TJA was calculated, as were demographic factors and preadmission comorbidities associated with HACs using bivariate and multivariable analysis., Results: The overall incidence of HACs after TJA was 1.3%. Several patient and hospital factors, including increased age, female gender, black race, medium hospital bed size, year of surgery, and Charlson Comorbidity Index ≥1, independently predicted development of a HAC. When evaluating the financial impact of the development of a HAC after TJA, more than 200 million dollars in hospital costs would be lost during the inclusive years of this study, equating to nearly 70 million dollars annually., Conclusion: The incidence of HACs after TJA is 1.3%. Many of the patient factors associated with HACs are nonmodifiable, and risk adjustment should be considered to provide a sustainable product to a diverse patient population., (Copyright © 2016 Elsevier Inc. All rights reserved.)

The authors assessed the incidence of and risk factors associated with 30-day surgical site infections (SSIs) following primary (p) and revision (r) THA and TKA. In total, 23,128 primary and 2170 revision TJAs were identified between 2005 and 2010 in the ACS NSQIP database. The 30-day SSI rates, overall and deep, were 1.1 and 0.1% for pTKA, 1.18 and 0.4% for pTHA, 1.68 and 0.7% for rTKA, and 2.9 and 1.7% for rTHA. After primary TJA, independent risk factors were BMI>40, hypertension, prolonged operative time, electrolyte disturbance and previous infection, and after revision TJA, dyspnea and bleeding disorder were risk factors. This study should help provide benchmark data for SSI following TJA., (Copyright © 2015 Elsevier Inc. All rights reserved.)

26-27% of patients with end stage hip and knee arthritis requiring TJR have chronic renal disease. A multi-center, prospective clinical registry was queried for TJA's from 2006 to 2012, and 74,300 cases were analyzed. Renal impairment was quantified using estimated glomerular filtration rate (eGFR) to stratify each patient by stage of CRD (1-5). There was a significantly greater rate of overall complications in patients with moderate to severe CRD (6.1% vs. 7.6%, P<0.001). In those with CRD (Stage 3-5), mortality was twice as high (0.26% vs. 0.48%, P<0.001). Patients with Stage 4 and 5 CRD had a 213% increased risk of any complication (OR 2.13, 95% CI: 1.73-2.62). Surgeons may use these findings to discuss the risk-benefit ratio of elective TJR in patients with CRD., (Copyright © 2015 Elsevier Inc. All rights reserved.)

Background: Total joint arthroplasty is the most frequently performed orthopaedic procedure in the United States. The purpose of the present study was to identify differences in thirty-day morbidity and mortality following primary total hip and total knee arthroplasty according to smoking status and pack-year history of smoking., Methods: We queried the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database to identify patients who had undergone primary total hip or total knee arthroplasty between 2006 and 2012. Patients were stratified by smoking status and pack-year history of smoking. Thirty-day rates of mortality, wound complications, and total complications were compared with use of univariate and multivariate analyses., Results: We identified 78,191 patients who had undergone primary total hip or total knee arthroplasty. Of these, 81.8% (63,971) were nonsmokers, 7.9% (6158) were former smokers, and 10.3% (8062) were current smokers. Current smokers had a higher rate of wound complications (1.8%) compared with former smokers and nonsmokers (1.3% and 1.1%, respectively; p < 0.001). Former smokers had a higher rate of total complications (6.9%) compared with current smokers and nonsmokers (5.9% and 5.4%, respectively; p < 0.001). Multivariate analysis identified current smokers as being at increased risk of wound complications (odds ratio [OR], 1.47; 95% confidence interval [CI], 1.21 to 1.78), particularly deep wound infection, while both current smokers (OR, 1.18; 95% CI, 1.06 to 1.31) and former smokers (OR, 1.20; 95% CI, 1.08 to 1.34) were at increased total complication risk. Increasing pack-year history of smoking resulted in increasing total complication risk., Conclusions: On the basis of our findings, current smokers have an increased risk of wound complications and both current and former smokers have an increased total complication risk following total hip or total knee arthroplasty., (Copyright © 2015 by The Journal of Bone and Joint Surgery, Incorporated.)

Background: Long-term evaluation of knee arthroplasty should provide relevant information concerning the durability and performance of the implant and the procedure. Because most arthroplasties are performed in older patients, most long-term followup studies have been performed in elderly cohorts and have had low patient survivorship to final followup; the degree to which attrition from patient deaths over time in these studies might influence their results has been poorly characterized., Questions/purposes: The purpose of this study was to examine the results at 20-year followup of two prospectively followed knee arthroplasty cohorts to determine the following: (1) Are there relevant differences among the two implant cohorts in terms of revision for aseptic causes (osteolysis, or loosening)? (2) How does patient death over the long followup interval influence the comparison, and do the comparisons remain valid despite the high attrition rates?, Methods: Two knee arthroplasty cohorts from a single orthopaedic practice were evaluated: a modular tibial tray (101 knees) and a rotating platform (119 knees) design. All patients were followed for a minimum of 20 years or until death (mean, 14.1 years; SD 5.0 years). Average age at surgery for both cohorts was >70 years. The indications for the two cohorts were identical (functionally limiting knee pain) and was surgeon-specific (each surgeon performed all surgeries in that cohort). Revision rates through a competing risks analysis for implants and survivorship curves for patients were evaluated., Results: Both of these elderly cohorts showed excellent implant survivorship at 20 years followup with only small differences in revision rates (6% revision versus 0% revision for the modular tibial tray and rotating platform, respectively). However, attrition from patient deaths was substantial and overall patient survivorship to 20-year followup was only 26%. Patient survivorship was significantly higher in patients<65 years of age in both cohorts (54% versus 15%, p<0.001 modular tray cohort, and 52% versus 26%, p=0.002 rotating platform cohort). Furthermore, in the modular tray cohort, patients<65 years had significantly higher revision rates (15% versus 3%, p=0.0019)., Conclusions: These two cohorts demonstrate the durability of knee arthroplasty in older patients (the vast majority older than 65 years). Unfortunately, few patients lived to 20-year followup, thus introducing bias into the analysis. These data may be useful as a reference for the design of future prospective studies, and consideration should be given to enrolling younger patients to have robust numbers of living patients at long-term followup., Level of Evidence: Level III, therapeutic study. See Guidelines for Authors for a complete description of levels of evidence.

Background: Increasing national expenditures and use associated with TKA have resulted in pressure to reduce costs through various reimbursement cuts. However, within the arthroplasty literature, few studies have examined the association of medical comorbidities on resource use and length of stay after joint arthroplasty., Questions/purposes: The purpose of this study was to examine the association between individual patient characteristics (including demographic factors and medical comorbidities) on resource allocation and length of stay (LOS) after TKA., Methods: We queried the 2009 Nationwide Inpatient Sample dataset for International Classification of Diseases, 9(th) Revision code, 81.54, for TKAs. An initial 621,029-patient cohort was narrowed to 516,745 after inclusion of elective TKAs on patients aged between 40 and 95 years. Using generalized linear models, we estimated the effect of comorbidities on resource use (using cost-to-charge conversions to estimate hospital costs) and the LOS controlling for patient and hospital characteristics. Across the 2009 national cohort with TKAs, 12.7% had no comorbidities, whereas 32.6% had three or more. The most common conditions included hypertension (67.8%), diabetes (20.0%), and obesity (19.8%). Mean hospital costs were USD 14,491 (95% confidence interval [CI], 14,455-14,525) and mean hospital LOS was 3.3 days (95% CI, 3.29-3.31) in this data set., Results: Patients with multiple comorbidities were associated with increased resource use and LOS. Higher marginal costs and LOS were associated with patients who had an inpatient death (USD +8017 [95% CI, 8006-8028], +2.3 [CI, 2.15-2.44] days over baseline), patients with recent weight loss (USD +4587 [95% CI, 4581-4593], +1.5 [CI, 1.45-1.61) days], minority race (USD +1037 [95% CI, 1035-1038], +0.3 [CI, 0.28-0.33] days), pulmonary-circulatory disorders (USD +3218 [95% CI, 3214-3221], +1.3 [CI, 1.25-1.34] days), and electrolyte disturbances (USD +1313 [95% CI, 1312-1314], +0.6 [CI, 0.57-0.60] days). All p values were < 0.001., Conclusion: Multiple patient comorbidities were associated with additive resource use and LOS after TKA. Current reimbursement may not adequately account for these patient characteristics. To avoid potential loss of access to care for sicker patients, payment needs to be adjusted to reflect actual resource use., Level of Evidence: Level IV, economic and decision analysis. See the Instructions for Authors for a complete description of levels of evidence.

Background: Knee arthroplasty has emerged as an effective treatment for end-stage gonarthrosis. Although total knee arthroplasty remains the gold standard, unicompartmental knee arthroplasty is an appropriate alternative for select patients. We sought to use a large, heterogeneous national database to identify differences in thirty-day complication rates between unicompartmental and total knee arthroplasty as well as to identify risk factors for complications., Methods: Patients in the ACS NSQIP (American College of Surgeons National Surgical Quality Improvement Program) database who had undergone total or unicompartmental knee arthroplasty from 2005 to 2011 were identified. CPT (Current Procedural Terminology) codes were used to select cases of elective primary knee arthroplasty. Statistical models employing univariate and multivariate logistic regression identified risk factors associated with the thirty-day incidence of morbidity and mortality after total and unicompartmental knee arthroplasty. Propensity score matching addressed demographic differences between the total and unicompartmental knee arthroplasty cohorts., Results: A total of 29,333 patients were identified; 27,745 (94.6%) underwent total knee arthroplasty and 1588 (5.41%) underwent unicompartmental knee arthroplasty. Prior to matching, the total knee arthroplasty cohort was 63.7% female and had a mean BMI of 32.8 ± 7.3 kg/m(2), whereas the values for the unicompartmental cohort were 55.3% and 31.5 ± 6.5 kg/m(2) (p < 0.0001). The mean ages of these cohorts were 67.2 ± 10.1 and 64.0 ± 10.7 years, respectively (p < 0.0001). A previously developed and implemented propensity score matching algorithm was used to address the demographic differences. Following matching, the total complication rate did not differ significantly between the total and unicompartmental knee arthroplasty cohorts (5.29% compared with 4.16%, p = 0.35), whereas the rate of deep venous thrombosis (1.50% compared with 0.50%, p = 0.02) and the duration of hospital stay (3.4 compared with 2.2 days, p < 0.0001) were significantly higher in the total knee arthroplasty cohort., Conclusions: Comparison of total and unicompartmental knee arthroplasty revealed no differences in overall short-term (thirty-day) morbidity and mortality. Although this study does not address long-term subjective outcomes or implant survival, these findings should provide helpful information for surgeons counseling patients considering total and/or unicompartmental knee arthroplasty., Level of Evidence: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence., (Copyright © 2014 by The Journal of Bone and Joint Surgery, Incorporated.)

Total joint arthroplasty (TJA) continues to be a popular target of cost control efforts. In order to provide a unique overview of financial trends facing TJA, we analyzed Medicare databases including 100% of beneficiaries, as well as industry surveys of implant list prices. Although there was a substantial increase in TJA utilization over the period 2000-2011 (+26.9%), growth has been stagnant since 2005. New coding schemes have made complicated cases more lucrative for hospitals (+2.5% to 6.5% per year), while reimbursements for uncomplicated cases have fallen (-0.7% to -0.6%). Physician reimbursements have declined on all case types (-2.5% to -2.1% per year), while list prices of orthopedic implants have risen (+4.8% to 5.5%). These trends should be kept in mind while contemplating future changes to TJA payment., (Copyright © 2014 Elsevier Inc. All rights reserved.)

Background: Spinal anesthesia has been associated with lower postoperative rates of deep-vein thrombosis, a shorter operative time, and less blood loss when compared with general anesthesia. The purpose of the present study was to identify differences in thirty-day perioperative morbidity and mortality between anesthesia choices among patients undergoing total knee arthroplasty., Methods: The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database was searched to identify patients who underwent primary total knee arthroplasty between 2005 and 2010. Complications that occurred within thirty days after the procedure in patients who had been managed with either general or spinal anesthesia were identified. Patient characteristics, thirty-day complication rates, and mortality were compared. Multivariate logistic regression identified predictors of thirty-day morbidity, and stratified propensity scores were used to adjust for selection bias., Results: The database search identified 14,052 cases of primary total knee arthroplasty; 6030 (42.9%) were performed with the patient under spinal anesthesia and 8022 (57.1%) were performed with the patient under general anesthesia. The spinal anesthesia group had a lower unadjusted frequency of superficial wound infections (0.68% versus 0.92%; p = 0.0003), blood transfusions (5.02% versus 6.07%; p = 0.0086), and overall complications (10.72% versus 12.34%; p = 0.0032). The length of surgery (ninety-six versus 100 minutes; p < 0.0001) and the length of hospital stay (3.45 versus 3.77 days; p < 0.0001) were shorter in the spinal anesthesia group. After adjustment for potential confounders, the overall likelihood of complications was significantly higher in association with general anesthesia (odds ratio, 1.129; 95% confidence interval, 1.004 to 1.269). Patients with the highest number of preoperative comorbidities, as defined by propensity score-matched quintiles, demonstrated a significant difference between the groups with regard to the short-term complication rate (11.63% versus 15.28%; p = 0.0152). Age, female sex, black race, elevated creatinine, American Society of Anesthesiologists class, operative time, and anesthetic choice were all independent risk factors of short-term complication after total knee arthroplasty., Conclusions: Patients undergoing total knee arthroplasty who were managed with general anesthesia had a small but significant increase in the risk of complications as compared with patients who were managed with spinal anesthesia; the difference was greatest for patients with multiple comorbidities. Surgeons who perform knee arthroplasty may consider spinal anesthesia for patients with comorbidities.