Deformity correction using proximal hooks and distal screws (PHDSs) improves radiological metrics in adolescent idiopathic scoliosis.

PURPOSE: Surgical correction for AIS has evolved from all hooks to hybrids or all screw constructs. Limited literature exists reporting outcomes using PHDS for posterior spinal fusion (PSF). This is the largest series in evaluating results of PHDS technique. METHODS: A retrospective review of consecutive AIS patients undergoing PSF by a single surgeon between 2006 and 2015 was performed. All eligible patients met a minimum 2-year follow-up. Patient demographics and radiographical parameters (radiographic shoulder height (RSH), T1 tilt, clavicle angle) at baseline, 6-week and 2-year post-operation were recorded. The primary outcome was difference in RSH from baseline measurements evaluated using repeated measures one-way analysis of variance with Bonferroni correction. RESULTS: A total of 219 patients (mean age at surgery: 13.68 years; 82% female) were included. The mean follow-up was 41.2 months (range 24-108 months). The RSH was significantly improved from - 14.7 ± 10.38 mm to 8.0 ± 6.9 mm (P < 0.0001). Clavicle angle was improved from 2.13° to 1.31° (P < 0.0001). T1 tilt was improved from 5.6° to 2.2° (P < 0.0001). At last follow-up, 95.8% of patients were shoulder balanced. There was a significant improvement of Cobb angle with an average correction of the upper thoracic curve of 42% and main thoracic curve of 67%. CONCLUSION: The PHDS demonstrates the potential for additional shoulder balance improvement. Extension of fusion to structural proximal thoracic spine is the key to success for shoulder balance. It remains to be seen whether these improvements will translate into improved clinical outcomes in the longer term.

Analysis of Outcomes After TKA: Do All Databases Produce Similar Findings?

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.

Comparison of Short-term Complications After Rotator Cuff Repair: Open Versus Arthroscopic.

PURPOSE: To define and compare the incidence and risk factors for short-term complications after arthroscopic and open rotator cuff repair (RTCR), and to identify independent risk factors for complications after RTCR. METHODS: All patients who underwent open or arthroscopic RTCR from 2005 to 2013 were identified in the American College of Surgeons National Surgical Quality Improvement Program database. Short-term complications were categorized as surgical, medical, mortality, and unplanned 30-day readmission. Univariate analysis allowed the comparison of patient demographics and comorbidities. Propensity score matching was used to control for demographic differences between arthroscopic and open RTCR patient groups. Independent risk factors for complication were identified using multivariate logistic regression. RESULTS: Overall, 11,314 RTCRs were identified (24% open, 76% arthroscopic). The mean operative time for open RTCR was 78 minutes compared with 91 minutes for arthroscopic repairs (P < .001). The overall complication rate was 1.3%, with the highest complication unplanned return to the operating room (41 patients, 0.36%). The 30-day readmission was 1.16% (76/6,560 patients) and the mortality rate was 0.03% (3 patients). Total 30-day complications in the propensity-score-matched patient group were higher after open versus arthroscopic repair (1.79% vs 1.17%; P = .006). The overall infection rate after RTCR was 0.56%, with deep wound infection higher in the open repair patient group (P = .003). Multivariate analysis identified age >65 years (odds ratio [OR] 1.6; 95% confidence interval [CI] 1.2-2.3), operative time >90 minutes (OR 1.5; CI 1.1-2.1), and open RTCR (OR 1.6; CI 1.1-2.3) as independent risk factors for complications. CONCLUSIONS: Short-term complications after RTCR are rare. Total complications are higher after open RTCR in propensity-matched patient groups and in multivariate analysis. Risk factors for complications include patient age >65, operative time >90 minutes, and open repair. Open RTCR is associated with an increased risk of surgical infections. LEVEL OF EVIDENCE: Level III, retrospective comparative trial.

Big Data and Total Hip Arthroplasty: How Do Large Databases Compare?

BACKGROUND: Use of large databases for orthopedic research has become extremely popular in recent years. Each database varies in the methods used to capture data and the population it represents. The purpose of this study was to evaluate how these databases differed in reported demographics, comorbidities, and postoperative complications for primary total hip arthroplasty (THA) patients. METHODS: Primary THA patients were identified within National Surgical Quality Improvement Programs (NSQIP), Nationwide Inpatient Sample (NIS), Medicare Standard Analytic Files (MED), and Humana administrative claims database (HAC). NSQIP definitions for comorbidities and complications were matched to corresponding International Classification of Diseases, 9th Revision/Current Procedural Terminology codes to query the other databases. Demographics, comorbidities, and postoperative complications were compared. RESULTS: The number of patients from each database was 22,644 in HAC, 371,715 in MED, 188,779 in NIS, and 27,818 in NSQIP. Age and gender distribution were clinically similar. Overall, there was variation in prevalence of comorbidities and rates of postoperative complications between databases. As an example, NSQIP had more than twice the obesity than NIS. HAC and MED had more than 2 times the diabetics than NSQIP. Rates of deep infection and stroke 30 days after THA had more than 2-fold difference between all databases. CONCLUSION: Among databases commonly used in orthopedic research, there is considerable variation in complication rates following THA depending upon the database used for analysis. It is important to consider these differences when critically evaluating database research. Additionally, with the advent of bundled payments, these differences must be considered in risk adjustment models.

The John N. Insall Award: Do Intraarticular Injections Increase the Risk of Infection After TKA?

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, 9th 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.

Adolescent idiopathic scoliosis: risk factors for complications and the effect of hospital volume on outcomes.

OBJECTIVE Adolescent idiopathic scoliosis (AIS) is the most common form of scoliosis. Limited literature exists defining risk factors associated with outcomes during initial hospitalization in these patients. In this study, the authors investigated patient demographics, clinical and hospital characteristics impacting short-term outcomes, and costs in adolescent patients undergoing surgical deformity correction for idiopathic scoliosis. Additionally, the authors elucidate the impact of hospital surgical volume on outcomes for these patients. METHODS Using the National Inpatient Sample database and appropriate International Classification of Diseases, 9th Revision codes, the authors identified adolescent patients (10-19 years of age) undergoing surgical deformity correction for idiopathic scoliosis during 2001-2014. For national estimates, appropriate weights provided by the Agency of Healthcare Research and Quality were used. Multivariable regression techniques were employed to assess the association of risk factors with discharge disposition, postsurgical neurological complications, length of hospital stay, and hospitalization costs. RESULTS Overall, 75,106 adolescent patients underwent surgical deformity correction. The rates of postsurgical complications were estimated at 0.9% for neurological issues, 2.8% for respiratory complications, 0.8% for cardiac complications, 0.4% for infections, 2.7% for gastrointestinal complications, 0.1% for venous thromboembolic events, and 0.1% for acute renal failure. Overall, patients stayed at the hospital for an average of 5.72 days (median 5 days) and on average incurred hospitalization costs estimated at $54,997 (median $47,909). As compared with patients at low-volume centers (≤ 50 operations/year), those undergoing surgical deformity correction at high-volume centers (> 50/year) had a significantly lower likelihood of an unfavorable discharge (discharge to rehabilitation) (OR 1.16, 95% CI 1.03-1.30, p = 0.016) and incurred lower costs (mean $33,462 vs $56,436, p < 0.001) but had a longer duration of stay (mean 6 vs 5.65 days, p = 0.002). In terms of neurological complications, no significant differences in the odds ratios were noted between high- and low-volume centers (OR 1.23, 95% CI 0.97-1.55, p = 0.091). CONCLUSIONS This study provides insight into the clinical characteristics of AIS patients and their postoperative outcomes following deformity correction as they relate to hospital volume. It provides information regarding independent risk factors for unfavorable discharge and neurological complications following surgery for AIS. The proposed estimates could be used as an adjunct to clinical judgment in presurgical planning, risk stratification, and cost containment.

Editorial Commentary: Rising Interest in "Big Data" in Arthroscopy: Is the Juice Worth the Squeeze?

The use of "big data" in orthopaedic sports medicine research is on the rise. Greater access to data sources that allow for analysis of outpatient procedures has contributed to this surge. Important advantages and disadvantages to each database exist and should be understood to properly interpret these studies. In the era of value-based medicine, this macro data will drive policy and payment.

Opioid Use Following Total Hip Arthroplasty: Trends and Risk Factors for Prolonged Use.

BACKGROUND: The purpose of this study is to answer the following questions: (1) What is the prevalence of opioid use prior to primary total hip arthroplasty (THA)? (2) What is the typical trend in opioid use following THA over the first post-operative year? (3) What are the risk factors for prolonged opioid use following primary THA? METHODS: Primary THA patients were identified in the Humana database from 2007 to 2015. Pre-operative and post-operative opioid use was measured by monthly prescription refill rates. Rates of opioid use were trended monthly for 1 year post-operatively and compared based on pre-operative opioid user (OU) status as well as other patient demographics and co-morbidities. RESULTS: In total, 37,393 THA patients were analyzed and 14,309 patients (38.2%) were pre-operative opioid users (OUs). Pre-operative opioid use was the strongest predictor for prolonged opioid use following THA, with non-opioid users filling significantly less opioid prescriptions than OUs at every time point analyzed. Younger age, female sex, and all other diagnoses analyzed were found to significantly increase the rate of opioid refilling following THA throughout the entire post-operative year. CONCLUSION: Over one-third of THA patients use opioids within 3 months prior to THA and this percentage has increased 6% during the years included in this study. Pre-operative opioid use was most predictive of increased refills of opioids following THA. These data provide an important baseline for opioid use trends following THA that can be used for future comparison while identifying risk factors for prolonged use that will be helpful to prescribers as we all work to decrease opioid use, misuse, and abuse.

Computer Navigated Total Knee Arthroplasty: Rates of Adoption and Early Complications.

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.

Operative Time Affects Short-Term Complications in Total Joint Arthroplasty.

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/m2, 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.

Recent Trends in Blood Utilization After Primary Hip and Knee Arthroplasty.

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.

Opioid Use After Total Knee Arthroplasty: Trends and Risk Factors for Prolonged Use.

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.

Hip Fractures: Appropriate Timing to Operative Intervention.

BACKGROUND: The purpose of this study is to (1) identify the incidence of surgical delay in hip fractures, (2) evaluate the time point surgical delay puts patients at increased risk for complications, and (3) identify risk factors for surgical delay in the setting of surgical management of hip fractures. METHODS: A multi-center database was queried for patients of 60 years of age or older undergoing surgical treatment of a hip fracture. Surgical delay was defined by days from admission until surgical intervention. Univariate analyses and multivariate analyses were performed on all groups. RESULTS: A total of 4215 patients underwent surgery for their hip fracture. Of those experiencing surgical delay, 3304 (78%) patients experienced surgical delay of ≥1 day, 1314 (31%) had delay of ≥2 days, and 480 (11%) experienced delay of ≥3 days. There was a significant difference in complications if patients experienced surgical delay of ≥2 days (P ≤ .01). Multivariate analyses identified multiple risk factors for delay of ≥2 days including congestive heart failure (odds ratio 3.09, 95% confidence interval 2.04-4.66) and body mass index ≥40 (odds ratio 2.31, 95% confidence interval 1.31-4.08). Subgroup analysis identified that patients undergoing total hip arthroplasty were not at risk for complications with surgical delay of ≥2 days. CONCLUSION: Surgical delay of ≥2 days in the setting of hip fractures is common and confers an increased risk of complications in those undergoing non-total hip arthroplasty procedures. We recommend surgical intervention prior to 48 hours from hospital admission when possible. Healthcare systems can utilize our non-modifiable risk factors when performing quality assessment and cost accounting.

What Can We Learn From 20-year Followup Studies of Hip Replacement?

BACKGROUND: A patient who dies during the followup period of a study about total hip arthroplasty (THA) cannot subsequently undergo a revision. The presence of competing events (such as deaths, in a study on implant durability) violates an assumption of the commonly used Kaplan-Meier (KM) survivorship approach. In that setting, KM-based estimates of revision frequencies will be high relative to alternative approaches that account for competing events such as cumulative incidence methods. However, the degree to which this difference is clinically relevant, and the degree to which it affects different ages of patient cohorts, has been poorly characterized in orthopaedic clinical research. QUESTIONS/PURPOSES: The purpose of this study was to compare KM with cumulative incidence survivorship estimators to evaluate the degree to which the competing event of death influences the reporting of implant survivorship at long-term followup after THA in patients both younger than and older than 50 years of age. METHODS: We retrospectively reviewed 758 cemented THAs from a prospectively maintained single-surgeon registry, who were followed for a minimum of 20 years or until death. Revision rates were compared between those younger than or older than age 50 years using both KM and cumulative incidence methods. Patient survivorship was calculated using KM methods. A total of 21% (23 of 109) of the cohort who were younger than 50 years at the time of THA died during the 20-year followup period compared with 72% (467 of 649) who were older than 50 years at the time of surgery (p < 0.001). RESULTS: In the cumulative incidence analysis, 19% of the younger than age 50 years cohort underwent a revision for aseptic causes within 20 years as compared with 5% in the older than age 50 years cohort (p < 0.001). The KM method overestimated the risk of revision (23% versus 8.3%, p < 0.001), which represents a 21% and 66% relative increase for the younger than/older than age 50 years groups, respectively. CONCLUSIONS: The KM method overestimated the risk of revision compared with the cumulative incidence method, and the difference was particularly notable in the elderly cohort. Future long-term followup studies on elderly cohorts should report results using survivorship curves that take into account the competing risk of patient death. We observed a high attrition rate as a result of patient deaths, and this emphasizes a need for future studies to enroll younger patients to ensure adequate study numbers at final followup. LEVEL OF EVIDENCE: Level III, therapeutic study.

Incidence of and Preoperative Risk Factors for Surgical Delay in Primary Total Hip Arthroplasty: Analysis From the American College of Surgeons National Surgical Quality Improvement Program.

BACKGROUND: Total joint arthroplasty is a proven treatment for osteoarthritis of the knee and hip that has failed conservative treatment. While most of total joint arthroplasty is considered elective with surgery on the day of admission, a small subset of patients may require delay in surgery past the day of admission. Recently, surgical delay for primary total knee arthroplasty has been identified. However, the incidence, outcomes, and risk factors for delay in surgery before total hip arthroplasty (THA) have not been previously defined. QUESTIONS/PURPOSE: In patients undergoing THA, we sought to define (1) the incidence of and risk factors for delay in surgery, (2) the postoperative complications between surgical delay and no surgical delay cohorts, and (3) association of the Charlson comorbidity index (CCI) in patients with delay of surgery. METHODS: We retrospectively queried the National Surgical Quality Improvement Program database using Current Procedural Terminology billing codes and identified 7890 THAs performed between 2006 and 2010. Univariate and subsequent multivariate logistic regression analysis were then used to identify risk factors for surgical delay. Correlation between CCI and surgical delay in THA was evaluated. RESULTS: One-hundred seventy-nine patients (2.31%) were identified as experiencing a surgical delay before THA. Multivariate analysis identified congestive heart failure (CHF) (P = .0038), bleeding disorder (P < .0001), sepsis (P < .0001), prior operation in past 30 days (P = .0001), dependent functional status (P < .0001), American Society of Anesthesiologists class 3 (P = .0001), American Society of Anesthesiologists class 4 (P = .0023), significant weight loss (P = .0109), and hematocrit <38% (P < .0001) as independent risk factors for delay in surgery. Compared with the nondelay cohort, those experiencing surgical delay before THA had higher rates of postoperative surgical (8.9% vs 3.1%, P < .0001) and medical complications (23.5% vs 10.1%, P < .0001). Mean CCI was higher in the THA surgical delay cohort (3.16 vs 2.24, P < .0001) compared with the nondelay group. CONCLUSION: Surgical delay in patients undergoing THA may cause undue disruption in surgeon and hospital resource utilization. In an era of quality assessment and cost consciousness, it is important to understand that the short-term outcomes of elective, same day THA differ dramatically from those hospitalized for medical necessity before surgery. Surgeons should consider thorough medical evaluation in those with CHF, bleeding disorders, sepsis, significant weight loss, and hematocrit <38% before hospital admission.

Can We Predict Discharge Status After Total Joint Arthroplasty? A Calculator to Predict Home Discharge.

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.

Medicare's Hospital-Acquired Conditions Policy: A Problem of Nonpayment After Total Joint Arthroplasty.

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.

When Hip Scopes Fail, They Do So Quickly.

BACKGROUND: Rates of hip arthroscopy have been on an exponential rise. The purpose of this study was to evaluate the rate and timing of subsequent total hip arthroplasty (THA) after hip arthroscopy and identify if rates of THA differed based on age, diagnosis of osteoarthritis, or arthroscopic procedure performed. METHODS: The Humana administrative claims data set was reviewed from 2007 to 2014 for all patients undergoing hip arthroscopy. Patients were identified using Current Procedural Terminology codes and laterality modifiers. Patients were tracked over time for the occurrence of an ipsilateral THA. Rates and timing of subsequent THA were then determined. Subgroup analysis was performed based on patient age and hip arthroscopy procedure performed. RESULTS: In total, 1577 patients underwent hip arthroscopy. Tracking of patients revealed 84 (5.3%) patients that had an ipsilateral THA after hip arthroscopy during the follow-up period. Of the subsequent THA, 35.7% occurred within 6 months of hip arthroscopy and 83.3% had occurred within 18 months. Hundred percent of subsequent THAs occurred within 48 months of initial hip arthroscopy. Patients aged ≥50 years at the time of hip arthroscopy had a higher odds of conversion to THA (odds ratio: 3.2 [2.05-5.01], P < .001) as did those with chondroplasty included in their procedure (odds ratio: 3.5 [2.10-5.84], P < .001). CONCLUSION: Approximately 5% of hip arthroscopies went on to require a subsequent THA, and all conversions to THA occurred within 4 years. These data suggest that when hip arthroscopy fails, it does so relatively soon after the procedure. These results provide a needed understanding of rates and timing of THA after hip arthroscopy.

Length of Hospitalization After Joint Arthroplasty: Does Early Discharge Affect Complications and Readmission Rates?

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.

Abnormally High Dislocation Rates of Total Hip Arthroplasty After Spinal Deformity Surgery.

BACKGROUND: The purpose of this study was to determine the prevalence of concurrent spinopelvic fusion and THA and identify the risk of THA dislocation in patients with concurrent spinopelvic fusion. METHODS: We retrospectively reviewed an institutional database of spinal deformity patients and the Humana Inc data set to identify patients with concurrent THA and spinopelvic fusion. The prevalence of concurrent THA and spinopelvic fusion was identified, as was the risk of dislocation for all cohorts. RESULTS: Of 328 patients with spinopelvic fusions at our institution, 15 patients (4.6%) were found to have concurrent THA. Similarly, within the Humana database among 1049 patients with spinopelvic fusion, 4.6% had a concurrent THA. Among the 58,692 THA patients identified, only 0.1% had a concurrent spinopelvic fusion. A THA dislocation was observed in 3 of 15 patients (20.0%) and 3 of 18 THA (16.7%) within our institutional review. Within the Humana database, 8.3% of patients with THA and spinopelvic fusion went on to have a dislocation of their THA compared to 2.9% of patients with THA and no history of spinopelvic fusion (relative risk: 2.9 [1.2-7.6]). CONCLUSION: Among patients with spinopelvic fusion, the prevalence of concurrent THA is 4.6%, and among primary THA patients, the prevalence of concurrent spinopelvic fusion is 0.1%. An alarmingly high THA dislocation rate has been demonstrated among THA patients with concurrent spinopelvic fusion at our institution (20%) and within a large national database (8.3%).