As an increasing number of states begin to legalize marijuana for either medical or recreational use, it is important to determine its effects on joint arthroplasty. The purpose of this study is to determine the impact of cannabis use on total knee arthroplasty (TKA) revision incidence, revision causes, and time to revision by analyzing the Medicare database between 2005 and 2014. A retrospective review of the Medicare database for TKA, revision TKA, and causes was performed utilizing Current Procedural Terminology (CPT) and International Classification of Disease ninth revision codes (ICD-9). Patients who underwent TKA were cross-referenced for a history of cannabis use by querying ICD-9 codes 304.30–32 and 305.20–22. The resulting group was then longitudinally tracked postoperatively for revision TKA. Cause for revision, time to revision, and gender were also investigated. Our analysis returned 2, 718,023 TKAs and 247,112 (9.1%) revisions between 2005 and 2014. Cannabis use was prevalent in 18,875 (0.7%) of TKApatients with 2,419 (12.8%) revisions within the cannabis cohort. Revision incidence was significantly greater in patients who use cannabis (p < 0.001). Time to revision was also significantly decreased in patients who used cannabis, with increased 30- and 90-day revision incidence compared to the noncannabis group (P < 0.001). Infection was the most common cause of revision in both groups (33.5% nonusers versus 36.6% cannabis users). Cannabis use may result in decreasing implant survivorship and increasing the risk for revision within the 90-day global period compared to noncannabis users following primary TKA.
Our analysis of the Medicare database shows that there is a high rate of annual growth in TAA utilization (16.37%) and revision TAA (7.74%) indicating that there is an increased demand for TAA in the Unites States. However, failed TAA can have serious consequence and revision TAA remains to have suboptimal results. This study highlights the recent trends in ankle arthroplasty and serves to increase awareness of this increasingly popular procedure.
AIMTo research the influence of season of the year on periprosthetic joint infections.METHODSWe conducted a retrospective review of the entire Medicare files from 2005 to 2014. Seasons were classified as spring, summer, fall or winter. Regional variations were accounted for by dividing patients into four geographic regions as per the United States Census Bureau (Northeast, Midwest, West and South). Acute postoperative infection and deep periprosthetic infections within 90 d after surgery were tracked.RESULTSIn all regions, winter had the highest incidence of periprosthetic infections (mean 0.98%, SD 0.1%) and was significantly higher than other seasons in the Midwest, South and West (P < 0.05 for all) but not the Northeast (P = 0.358). Acute postoperative infection rates were more frequent in the summer and were significantly affected by season of the year in the West.CONCLUSIONSeason of the year is a risk factor for periprosthetic joint infection following total hip arthroplasty (THA). Understanding the influence of season on outcomes following THA is essential when risk-stratifying patients to optimize outcomes and reduce episode of care costs.
Objective: With the growth and popularity of the internet, physician review websites are being utilized more frequently by patients to learn about and ultimately select their provider. These sites allow patients to comment on the care they received in a public forum for others to see. With outcome and "quality" measures being used to dictate reimbursement formulas; online patient reviews may affect a physician's compensation in the near future. Therefore, it is of paramount importance for physicians to understand how best to portray themselves on social media and other internet sites. Methods: In this retrospective study, we identified 145 arthroplasty surgeons via the AAHKS database. Then, surgeon data was collected from Healthgrades (HG) and Vitals (V). We identified if the surgeon had social media (SM) accounts by using google search. The number of ratings and comments, overall rating, reported wait-times and physician SM presence were analyzed with univariate, bivariate and multivariate analyses. Results: 64% of surgeons had a SM presence, and younger surgeons with SM had lower distribution of wait-times. A SM presence correlated with significantly higher frequency of total ratings and comments. Both review sites showed that younger physicians with a SM presence had increased frequency of ratings and comments and a quicker office wait-times. SM presence did not impact the overall scores on either website. Conclusion: Having SM presence is correlated with increased number of ratings and comments on physician review sites, possibly revealing an increased likelihood of these physicians encouraging their patients to engage with them via the internet. SM presence did not correlate with higher review scores, displaying that there are many complex factors that go into a physician score outside of SM and internet appearance. Future studies should explore patient comments on these sites to understand additional factors that may optimize a patient's experience.
An increasing number of total knee arthroplasties (TKAs) are performed on obese patients. It is imperative to remain up to date on the effect of obesity on surgical outcomes and reimbursement trends. The purpose of this study was to evaluate the impact different severities of obesity have on primary and revision TKA, specifically: (1) incidence and trends over time; (2) annual growth rate; and (3) admission costs from 2010 to 2014. A retrospective review of a large commercial private payer database within the PearlDiver Supercomputer application (Warsaw, IN) of TKA procedures was conducted. Patients who underwent TKA and subsequent revision were identified by Current Procedural Terminology (CPT) and ninth revision International Classification of Disease (ICD-9) codes. The index procedure was linked with ICD-9 codes for body mass indexes (BMIs) from <19 to >70. Statistical analysis was primarily descriptive to demonstrate the revision incidence and reimbursement deviations due to BMI. Compound annual growth rate (CAGR) was also calculated. Our query returned a total of 87,607 TKA patients within the study BMI ranges. The majority of patients had a BMI of 40 to 44.9 (12.2%) and least in the BMI >70 (0.2%) range. BMI of 40 to 44.9 had the highest overall 5-year mean reimbursement of $11,521 and the highest overall mean 5-year deviation from normal BMI (19-24) patients of $3,300. The incidence and burden of TKA revision was highest in patients with a BMI of 60 to 69.9 (21 and 17.3%, respectively). Average 5-year revision reimbursement and deviation from normal BMI (19-24) was highest in patients with a BMI of 40 to 44.9 ($13,883 and $4,030, respectively). The number of obese patients receiving TKA is steadily rising. The cost of treating obese patients rises as BMI deviates from normal, as does the incidence of revision surgery. Therefore, surgeons must be active in counseling patients on weight optimization as part of preoperative standard of care.
The present study demonstrated that racial disparities, highlighted by previous studies mainly in primary TKA, extend to influence revision TKA. Among the studied racial cohorts, race may affect outcomes and our results will help expand the current literature particularly on its role in revision TKA.
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