Emerging strategies for the prevention of bacterial biofilm in prosthetic surgery.

Penile prosthesis implantation is an effective treatment for erectile dysfunction (ED) with high patient satisfaction and effectiveness. Unfortunately, infections remain a dreaded complication, often necessitating device removal and imposing a substantial healthcare cost. Biofilms are communities of microorganisms encased in a self-produced polymeric matrix that can attach to penile prostheses. Biofilms have been demonstrated on the majority of explanted prostheses for both infectious and non-infectious revisions and are prevalent even in asymptomatic patients. Biofilms play a role in microbial persistence and exhibit unique antibiotic resistance strategies that can lead to increased infection rates in revision surgery. Biofilms demonstrate physical barriers through the development of an extracellular polymeric substance (EPS) that hinders antibiotic penetrance and the bacteria within biofilms demonstrate reduced metabolic activity that weakens the efficacy of traditional antibiotics. Despite these challenges, new methods are being developed and investigated to prevent and treat biofilms. These treatments include surface modifications, biosurfactants, tissue plasminogen activator (tPA), and nitric oxide (NO) to prevent bacterial adhesion and biofilm formation. Additionally, novel antibiotic treatments are currently under investigation and include antimicrobial peptides (AMPs), bacteriophages, and refillable antibiotic coatings. This article reviews biofilm formation, the challenges that biofilms present to conventional antibiotics, current treatments, and experimental approaches for biofilm prevention and treatment.

An evaluation of three validated comorbidity indices to predict short-term postoperative outcomes after prosthetic urologic surgery.

PURPOSE: Commonly used comorbidity indices include the Charlson Comorbidity Index (CCI), Elixhauser/Van Walraven Index (VWI), and modified frailty index (mFI). This study evaluates whether these indices predict postoperative readmissions and complications after inflatable penile prosthesis (IPP) and artificial urinary sphincter (AUS) placement. METHODS: We identified adult males who underwent IPP or AUS placement using the State Inpatient and State Ambulatory Surgery and Services Databases for Florida (2010-2015) and California (2010-2011). CCI, VWI, and mFI scores were calculated for each patient. We extracted 30-day emergency department services, 30-day readmissions, 90-day device complications (e.g., removal, replacement, or infection), and 90-day postoperative complications (excluding device complications). Receiver-operating characteristic curves were constructed and areas under the curve (AUC) were compared between the indices using the VWI as the reference model. We considered an AUC < 0.7 to represent poor predictive power. RESULTS: We identified 4242 IPP and 1190 AUS patients. All three indices had AUCs and 95% confidence intervals less than 0.70 for all outcomes following IPP and AUS placement making these indices poor predictors for postoperative outcomes. There were no significant differences in predicting 90-day postoperative complications between the VWI (AUC = 0.59, 95% CI [0.54-0.63]), CCI (AUC = 0.59, 95% CI [0.54-0.63], p = 0.99), and mFI (AUC = 0.60, 95% CI [0.55-0.66], p = 0.53) for IPPs and VWI (AUC = 0.54, 95% CI [0.47-0.61]), CCI (AUC = 0.50, 95% CI [0.43-0.57], p = 0.30), and mFI (AUC = 0.52, 95% CI [0.43-0.60], p = 0.56) for AUS placements. CONCLUSION: All three comorbidity indices were poor predictors of readmissions and complications following urologic prosthetic surgeries. A better comorbidity index is needed for risk-stratification of patients undergoing these surgeries.

Patient Frailty is Correlated With Increased Adverse Events and Costs After Revision Knee Arthroplasty.

BACKGROUND: Frailty can predict adverse outcomes after various orthopaedic procedures, but is not well-studied in revision total knee arthroplasty (rTKA). We investigated the correlation between the Hospital Frailty Risk Score (HFRS) and post-rTKA outcomes. METHODS: Using the Nationwide Readmissions Database, we identified rTKA patients discharged from January 2017 to November 2019 for the most common diagnoses (mechanical loosening, infection, and instability). Using HFRS, we compared 30-day readmission rate, length of stay, and hospitalization cost between frail and nonfrail patients with multivariate and binomial regressions. The 30-day complication and reoperation rates were compared using univariate analyses. We identified 25,177 mechanical loosening patients, 12,712 infection patients, and 9,458 instability patients. RESULTS: Frail patients had higher rates of 30-day readmission (7.8 versus 3.7% for loosening, 13.5 versus 8.1% for infection, 8.7 versus 3.9% for instability; P < .01), longer length of stay (4.1 versus 2.4 days for loosening, 8.1 versus 4.4 days for infection, 4.9 versus 2.4 days for instability; P < .01), and greater cost ($32,082 versus $27,582 for loosening, $32,898 versus $28,115 for infection, $29,790 versus $24,164 for instability; P < .01). Frail loosening patients had higher 30-day complication (6.8 versus 2.9%, P < .01) and reoperation rates (1.8 versus 1.2%, P = .01). Frail infection patients had higher 30-day complication rates (14.0 versus 8.3%, P < .01). Frail instability patients had higher 30-day complication (8.0 versus 3.5%, P < .01) and reoperation rates (3.2 versus 1.6%, P < .01). CONCLUSIONS: The HFRS may identify patients at risk for adverse events and increased costs after rTKA. Further research is needed to determine causation and mitigate complications and costs.

Patient Frailty is Correlated With Increased Adverse Events and Costs After Revision Total Hip Arthroplasty.

BACKGROUND: Frailty has been associated with poor outcomes and higher costs after primary total hip arthroplasty. However, frailty has not been studied in relation to outcomes after revision total hip arthroplasty (rTHA). This study examined the relationship between the Hospital Frailty Risk Score (HFRS), postoperative outcomes, and cost profiles following rTHA. METHODS: In this retrospective cohort study, we identified patients who underwent rTHA from January 2017 to November 2019 in the Nationwide Readmission Database. The 3 most frequently reported diagnosis codes for rTHA were then selected: dislocation; mechanical loosening; and infection. We calculated the HFRS for each patient to determine frailty status. We compared 30-day readmission rate, length of stay, and hospitalization cost between frail and nonfrail patients, using multivariate logistic and negative binomial regressions to adjust for covariates. We identified 36,243 total patients who underwent rTHA. Overall, 15,448 patients had a revision for dislocation, 11,062 for mechanical loosening, and 9,733 for infection. RESULTS: Compared to nonfrail patients, frail patients had higher rates of 30-day readmission, longer length of stay, and higher hospitalization cost. Frail patients had significantly higher rates of 30-day complication and 30-day reoperation. CONCLUSIONS: Frailty, measured using HFRS, is associated with increased postoperative complications and costs after rTHA. The HFRS has the ability to efficiently identify frail patients at-risk for perioperative complications enabling care teams to better focus optimization interventions on this patient cohort.

Frailty is Associated With Increased Complication, Readmission, and Hospitalization Costs Following Primary Total Knee Arthroplasty.

BACKGROUND: Frailty has been associated with poor postoperative outcomes in various medical conditions and surgical procedures. However, the relationship between frailty and outcomes after primary total knee arthroplasty (TKA) has not been well-described. This study investigated the association of the Hospital Frailty Risk Score (HFRS) with postoperative events and hospitalization costs after primary TKA. METHODS: Using a nationwide readmissions database, we identified 884,479 patients discharged after primary TKA for osteoarthritis between January 2017 and November 2019. HFRS was calculated for each patient to determine frailty status. We used multivariate logistic regressions to evaluate the association of frailty with 30-readmission rate and negative binomial regressions to evaluate lengths of hospital stay and hospitalization costs. The 30-day reoperation and complication rates were compared using chi-square tests. RESULTS: Frailty was associated with increased odds of 30-day readmissions (odds ratio [OR]: 1.89, 95% confidence interval [CI]: 1.82-1.96), longer lengths of stay (OR: 1.43, 95% CI: 1.43-1.44), and higher hospitalization costs (OR: 1.16, 95% CI: 1.16-1.17). Frail patients also had significantly higher rates of 30-day reoperations (0.6 versus 0.4%), surgical complications (0.6 versus 0.4%), medical complications (3.4 versus 1.3%), and other complications (0.9 versus 0.5%) (P < .01). CONCLUSIONS: Frailty, as measured using HFRS, was associated with increased adverse events and health care burdens in patients undergoing TKA. The HFRS could be used to swiftly identify high-risk patients undergoing TKA and to potentially help optimize patients prior to elective TKA. TYPE OF STUDY: Level III retrospective cohort study.

Revisiting Postoperative Pediatric Urology Opioid Prescriptions.

OBJECTIVE: To measure our opioid prescription rate, determine if our rate has decreased since 2019, and identify areas for future interventions to further decrease our opioid prescription rate. METHODS: We retrospectively reviewed all pediatric urology patients (age ..±18 years) who underwent a procedure between October 1, 2020 and October 22, 2021. We collected data on opioid prescribing, age, sex, surgeon, procedure, ethnicity, and race. We grouped procedures into 6 categories: circumcision, cystoscopy with the removal of foreign body/stone/stent, scrotal surgery, hypospadias repair/penile surgery, pyeloplasty/ureteral reimplant, and others. RESULTS: We analyzed 821 operative cases. Only 2.2% (18/821) of discharges included an opioid prescription. The prescription rate of 1 pediatric urologist was 4.6% (17/369), which was higher than the other 2 practitioners... (0.40%, 1/250%, and 0%, 0/202) (P.ß<.ß.001). The median age of patients who received an opioid prescription was older than patients without an opioid prescription (16.5 vs.ß5.0 years, P.ß<.ß.001). Surgery performed in an inpatient setting was more likely to result in an opioid prescription (9.7%, 3/31) than in the outpatient setting (1.9%, 15/790) (P.ß=.ß.03). No adverse effects of reduced opioid usage were noted. CONCLUSION: From October 2020 to October 2021, our institution had an opioid prescription rate of 2.2%. This represented a decrease from our previously reported rate of 8% in 2019. At the same time, we found no significant pain issues in our post-operative patients. Seventeen out of 18 prescriptions were written under 1 provider. Though heightened awareness has made a difference, targeted feedback is needed if we wish to reduce opioid usage further.

Frailty Is Associated With Increased 30-Day Adverse Events and Hospitalization Costs After Primary Total Hip Arthroplasty.

BACKGROUND: Frailty can predict adverse outcomes for multiple medical conditions and surgeries but is not well studied in total hip arthroplasty (THA). We evaluate the association between Hospital Frailty Risk Score and postoperative events and costs after primary THA. METHODS: Using the National Readmissions Database, we identified primary THA patients for osteoarthritis, osteonecrosis, or hip fracture from January to November 2017. Using Hospital Frailty Risk Score, we compared 30-day readmission rate, hospital course duration, and costs between frail and nonfrail patients for each diagnosis, controlling for covariates. Thirty-day complication and reoperation rates were compared using univariate analysis. RESULTS: We identified 167,700 THAs for osteoarthritis, 5353 for osteonecrosis, and 7246 for hip fractures. Frail patients had increased 30-day readmission rates (5.3% vs 2.5% for osteoarthritis, 7.1% vs 3.3% for osteonecrosis, 8.4% vs 4.3% for fracture; P < .01), longer hospital course (3.4 vs 1.9 days for osteoarthritis, 4.1 vs 2.1 days for osteonecrosis, 6.3 vs 3.9 days for fracture; P < .01), and increased costs ($18,712 vs $16,142 for osteoarthritis, $19,876 vs $16,060 for osteonecrosis, $22,185 vs $19,613 for fracture; P < .01). Frail osteoarthritis patients had higher 30-day complication (4.4% vs 1.9%; P < .01) and reoperation rates (1.6% vs 0.93%; P < .01). Frail osteonecrosis patients had higher 30-day complication rates (5.3% vs 2.6%; P < .01). Frail hip fracture patients had higher 30-day complication (6.6% vs 3.8%; P < .01) and reoperation rates (2.9% vs 1.8%; P < .01). CONCLUSION: Frailty is associated with increased healthcare burden and postoperative events after primary THA. Further research can identify high-risk patients and mitigate complications and costs.