Classification and Risk Factors for Surgical Site Infections in Radical Cystectomy: A 16-Year Analysis.

Introduction: Surgical site infection (SSI) is a substantial cause of peri-operative morbidity among patients undergoing radical cystectomy (RC). The purpose of this study was to identify the risk factors of SSI after RC and to classify and characterize treatment of SSIs. Methods: We retrospectively analyzed peri-operative characteristics and SSI, for patients undergoing RC from 2007 to 2022. Patients were stratified by SSI versus no SSI and differences were assessed. Uni-variable/multi-variable logistic regression analyses were performed to identify factors associated with SSI. SSIs were categorized by the Centers for Disease Control and Prevention (CDC) type: Superficial incisional, deep incisional, and organ/space confined. Results: Three hundred and ninety-eight patients had RC, 279 open, and 119 robotic; 78 (19.6%) developed SSI. Cohorts were similar demographically. Length of stay (LOS) was longer in the SSI cohort (8.8 d versus 12.4 d, p < 0.001), and body mass index (BMI) was greater in patients with SSI (24.34 vs. 25.39, p = 0.0003). On uni-variable analysis, age, gender, Charlson Comorbidity Index, diabetes mellitus, diversion, odds ratio (OR) time, blood loss, and open versus robotic technique were not substantial SSI predictors. BMI was an independent risk factor for SSI on both uni-variable (OR: 1.07, 95% confidence interval [CI]: 1.018-1.115, p = 0.0061) and multi-variable analysis (OR: 1.06, 95% CI: 1.009-1.109, p = 0.02) for 10 (12.8%) and 24 (30.8%) superficial and deep-incisional SSIs, respectively. Superficial wound SSI was treated conservatively with 60% receiving antibiotic agents and no procedural intervention. Deep SSIs received antibiotic agents and 50% required surgical intervention. There were 44 (56.4%) organ/space SSIs, and the most common treatment was antibiotic agents (100%) and IR drain placement (30, 68.2%). Conclusion: In patients undergoing RC, BMI was an independent risk factor for SSI. Type of the surgical procedure, robotic versus open, was not predictive of SSI. LOS was longer for patients with SSI. SSI was managed differently depending on CDC classification.

Changes in Facility Share of Medicaid-insured Patients With Urologic Cancers Following Implementation of the Patient Protection and Affordable Care Act.

OBJECTIVE: To examine Medicaid-insurance acceptance at facilities treating urologic cancers following implementation of the Affordable Care Act (ACA). METHODS: We conducted a retrospective, longitudinal study with a pre-post design. We accessed 2010-2017 data from the National Cancer Database, calculating the facility-level change in proportion of urologic cancer patients with Medicaid following implementation of the ACA. We used multivariable logistic regression to assess baseline clinical and demographic factors associated with changes in the proportion of patients at a facility insured through Medicaid. RESULTS: We identified 630 facilities, including 287 in Medicaid expansion states and 343 in non-expansion states associated with 436,082 urologic cancer patients. The mean facility-level change in proportion of patients with Medicaid was + 5.8% (95% CI 5.0%-6.5%) in expansion states versus + 0.6% (95% CI 0.2%-0.9%) in non-expansion states. There were 179 facilities that experienced a decrease in the post-ACA period, representing 13.6% of facilities in expansion states and 40.8% in non-expansion states (P <.001). Factors associated with a decrease in proportion of urologic cancer patients insured by Medicaid included non-expansion state status (OR 8.9, 95% CI 5.3-15.6, P <.001), higher baseline proportion of patients with Medicaid (highest quartile vs lowest: OR 4.6, 95% CI 2.3-9.4, P <.001) and high-income zip code (highest vs lowest quartile: OR 3.1, 95% CI 1.5-6.6, P <.001). CONCLUSION: Urologic cancer care for Medicaid-insured Americans remains unevenly distributed across cancer care centers, even in states that expanded coverage. Our findings suggest that this variation may reflect the effort of some facilities to reduce their financial exposure to increased numbers of Medicaid patients in the wake of ACA-supported state expansions.

Development of a Longitudinal Prostate Cancer Transcriptomic and Clinical Data Linkage.

Importance: Although tissue-based gene expression testing has become widely used for prostate cancer risk stratification, its prognostic performance in the setting of clinical care is not well understood. Objective: To develop a linkage between a prostate genomic classifier (GC) and clinical data across payers and sites of care in the US. Design, Setting, and Participants: In this cohort study, clinical and transcriptomic data from clinical use of a prostate GC between 2016 and 2022 were linked with data aggregated from insurance claims, pharmacy records, and electronic health record (EHR) data. Participants were anonymously linked between datasets by deterministic methods through a deidentification engine using encrypted tokens. Algorithms were developed and refined for identifying prostate cancer diagnoses, treatment timing, and clinical outcomes using diagnosis codes, Common Procedural Terminology codes, pharmacy codes, Systematized Medical Nomenclature for Medicine clinical terms, and unstructured text in the EHR. Data analysis was performed from January 2023 to January 2024. Exposure: Diagnosis of prostate cancer. Main Outcomes and Measures: The primary outcomes were biochemical recurrence and development of prostate cancer metastases after diagnosis or radical prostatectomy (RP). The sensitivity of the linkage and identification algorithms for clinical and administrative data were calculated relative to clinical and pathological information obtained during the GC testing process as the reference standard. Results: A total of 92 976 of 95 578 (97.2%) participants who underwent prostate GC testing were successfully linked to administrative and clinical data, including 53 871 who underwent biopsy testing and 39 105 who underwent RP testing. The median (IQR) age at GC testing was 66.4 (61.0-71.0) years. The sensitivity of the EHR linkage data for prostate cancer diagnoses was 85.0% (95% CI, 84.7%-85.2%), including 80.8% (95% CI, 80.4%-81.1%) for biopsy-tested participants and 90.8% (95% CI, 90.5%-91.0%) for RP-tested participants. Year of treatment was concordant in 97.9% (95% CI, 97.7%-98.1%) of those undergoing GC testing at RP, and 86.0% (95% CI, 85.6%-86.4%) among participants undergoing biopsy testing. The sensitivity of the linkage was 48.6% (95% CI, 48.1%-49.1%) for identifying RP and 50.1% (95% CI, 49.7%-50.5%) for identifying prostate biopsy. Conclusions and Relevance: This study established a national-scale linkage of transcriptomic and longitudinal clinical data yielding high accuracy for identifying key clinical junctures, including diagnosis, treatment, and early cancer outcome. This resource can be leveraged to enhance understandings of disease biology, patterns of care, and treatment effectiveness.

'It Just Makes Sense to Me': A qualitative study exploring patient decision-making and experiences with prostate MRI during active surveillance for prostate cancer.

Introduction: Although prostate magnetic resonance imaging (MRI) is commonly used in the diagnosis, staging and active surveillance of prostate cancer, little is known about patient perspectives on MRI. Methods: We performed a qualitative study consisting of in-depth, semi-structured interviews of patients with low- and intermediate-risk prostate cancer managed with active surveillance. Interviews focused on experiences with and knowledge of prostate MRI and MRI-ultrasound fusion biopsy during active surveillance. We purposively sampled patients who received prostate MRI as part of their clinical care, conducted interviews until reaching thematic saturation and performed conventional content analysis to analyse data. Results: Twenty patients aged 51-79 years (mean = 68 years) participated in the study. At diagnosis, 17 (85%) had a Gleason grade group 1, and three (15%) had a grade group 2 tumour. Overall, participants viewed prostate MRI as a valuable tool that accurately localizes and monitors prostate cancer over time, and they considered prostate MRI central to active surveillance monitoring. We identified five thematic categories related to MRI use: (1) the experiential aspects of undergoing an MRI scan; (2) the experience of visualizing one's own prostate and prostate cancer; (3) adequacy of provider explanations of MRI results; (4) confidence in prostate MRI in decision-making; and (5) the role of prostate MRI in longitudinal follow-up, including an interest in using MRI to modify the timing of, or replace, prostate biopsy. Conclusion: Patients value prostate MRI as a tool that enhances their confidence in the initial diagnosis and monitoring of prostate cancer. This work can inform future studies to optimize patient experience, education and counselling during active surveillance for prostate cancer.

Risk Factors and Contemporary Management Options for Pain and Discomfort Experienced During a Prostate Biopsy.

PURPOSE OF REVIEW: Prostate fusion biopsy, an innovative imaging modality for diagnosing prostate cancer, presents certain challenges for patients including discomfort and emotional distress, leading to nonadherence to treatment and follow-ups. To inform clinicians and offer pain relief alternatives to patients, this review delves into the risk factors for increased pain and modern management options to alleviate pain during prostate biopsy. RECENT FINDINGS: Individual responses to pain vary, and the overall experience of pain during a prostate biopsy has been contributed to numerous factors such as patient age, prostate volume, previous biopsy experience, and more. As a result, several strategies aim to mitigate pain during in-office procedures. Notably, techniques including pharmacological analgesics, hand holding, heating pads, entertainment/virtual reality, and distraction have shown significant efficacy. Existing studies explore risk factors influencing pain intensity during prostate biopsy and effective pain management strategies. This review consolidates available information to guide clinicians in enhancing patient comfort and thus, encourage surveillance adherence.

Plant-based diets, animal agriculture, and the connection with urological and planetary health.

PURPOSE OF REVIEW: We summarize the latest evidence regarding the impact of plant-based diets on urological and planetary health to facilitate patient counseling and research regarding dietary intervention. RECENT FINDINGS: Studies have highlighted the association of plant-based diets with a lower risk of multiple urological conditions including prostate cancer, erectile dysfunction, benign prostatic hyperplasia, and nephrolithiasis, as well as benefits for planetary health. SUMMARY: Plant-based diets are associated with numerous benefits that co-promote urological and planetary health.

The effect of a fermented soy beverage among patients with localized prostate cancer prior to radical prostatectomy.

BACKGROUND: Fermented soy products have shown to possess inhibitory effects on prostate cancer (PCa). We evaluated the effect of a fermented soy beverage (Q-Can®), containing medium-chain triglycerides, ketones and soy isoflavones, among men with localized PCa prior to radical prostatectomy. METHODS: We conducted a placebo-controlled, double-blind randomized trial of Q-Can®. Stratified randomization (Cancer of the Prostate Risk Assessment (CAPRA) score at diagnosis) was used to assign patients to receive Q-Can® or placebo for 2-5 weeks before RP. Primary endpoint was change in serum PSA from baseline to end-of-study. We assessed changes in other clinical and pathologic endpoints. The primary ITT analysis compared PSA at end-of-study between randomization arms using repeated measures linear mixed model incorporating baseline CAPRA risk strata. RESULTS: We randomized 19 patients, 16 were eligible for analysis of the primary outcome. Mean age at enrollment was 61, 9(56.2%) were classified as low and intermediate risk, and 7(43.8%) high CAPRA risk. Among patients who received Q-Can®, mean PSA at baseline and end-of-study was 8.98(standard deviation, SD 4.07) and 8.02ng/mL(SD 3.99) compared with 8.66(SD 2.71) to 9.53ng/mL(SD 3.03), respectively, (Difference baseline - end-of-study, p = 0.36). There were no significant differences in Gleason score, clinical stage, surgical margin status, or CAPRA score between treatment arms (p > 0.05), and no significant differences between treatment arms in end-of-study or change in lipids, testosterone and FACT-P scores (p > 0.05). CONCLUSIONS: Short exposure to Q-Can® among patients with localized PCa was not associated with changes in PSA levels, PCa characteristics including grade and stage or serum testosterone. Due to early termination from inability to recruit, study power, was not achieved.

Magnetic Resonance Imaging in Prostate Cancer Screening: A Systematic Review and Meta-Analysis.

Importance: Prostate magnetic resonance imaging (MRI) is increasingly integrated within the prostate cancer (PCa) early detection pathway. Objective: To systematically evaluate the existing evidence regarding screening pathways incorporating MRI with targeted biopsy and assess their diagnostic value compared with prostate-specific antigen (PSA)-based screening with systematic biopsy strategies. Data Sources: PubMed/MEDLINE, Embase, Cochrane/Central, Scopus, and Web of Science (through May 2023). Study Selection: Randomized clinical trials and prospective cohort studies were eligible if they reported data on the diagnostic utility of prostate MRI in the setting of PCa screening. Data Extraction: Number of screened individuals, biopsy indications, biopsies performed, clinically significant PCa (csPCa) defined as International Society of Urological Pathology (ISUP) grade 2 or higher, and insignificant (ISUP1) PCas detected were extracted. Main Outcomes and Measures: The primary outcome was csPCa detection rate. Secondary outcomes included clinical insignificant PCa detection rate, biopsy indication rates, and the positive predictive value for the detection of csPCa. Data Synthesis: The generalized mixed-effect approach with pooled odds ratios (ORs) and random-effect models was used to compare the MRI-based and PSA-only screening strategies. Separate analyses were performed based on the timing of MRI (primary/sequential after a PSA test) and cutoff (Prostate Imaging Reporting and Data System [PI-RADS] score ≥3 or ≥4) for biopsy indication. Results: Data were synthesized from 80 114 men from 12 studies. Compared with standard PSA-based screening, the MRI pathway (sequential screening, PI-RADS score ≥3 cutoff for biopsy) was associated with higher odds of csPCa when tests results were positive (OR, 4.15; 95% CI, 2.93-5.88; P ≤ .001), decreased odds of biopsies (OR, 0.28; 95% CI, 0.22-0.36; P ≤ .001), and insignificant cancers detected (OR, 0.34; 95% CI, 0.23-0.49; P = .002) without significant differences in the detection of csPCa (OR, 1.02; 95% CI, 0.75-1.37; P = .86). Implementing a PI-RADS score of 4 or greater threshold for biopsy selection was associated with a further reduction in the odds of detecting insignificant PCa (OR, 0.23; 95% CI, 0.05-0.97; P = .048) and biopsies performed (OR, 0.19; 95% CI, 0.09-0.38; P = .01) without differences in csPCa detection (OR, 0.85; 95% CI, 0.49-1.45; P = .22). Conclusion and relevance: The results of this systematic review and meta-analysis suggest that integrating MRI in PCa screening pathways is associated with a reduced number of unnecessary biopsies and overdiagnosis of insignificant PCa while maintaining csPCa detection as compared with PSA-only screening.

Area Vulnerability and Disparities in Therapy for Patients With Metastatic Renal Cell Carcinoma.

Importance: Area-level measures of sociodemographic disadvantage may be associated with racial and ethnic disparities with respect to receipt of treatment for metastatic renal cell carcinoma (mRCC) but have not been investigated previously, to our knowledge. Objective: To assess the association between area-level measures of social vulnerability and racial and ethnic disparities in the treatment of US Medicare beneficiaries with mRCC from 2015 through 2019. Design, Setting, and Participants: This retrospective cohort study included Medicare beneficiaries older than 65 years who were diagnosed with mRCC from January 2015 through December 2019 and were enrolled in fee-for-service Medicare Parts A, B, and D from 1 year before through 1 year after presumed diagnosis or until death. Data were analyzed from November 22, 2022, through January 26, 2024. Exposures: Five different county-level measures of disadvantage and 4 zip code-level measures of vulnerability or deprivation and segregation were used to dichotomize whether an individual resided in the most vulnerable quartile according to each metric. Patient-level factors included age, race and ethnicity, sex, diagnosis year, comorbidities, frailty, Medicare and Medicaid dual enrollment eligibility, and Medicare Part D low-income subsidy (LIS). Main Outcomes and Measures: The main outcomes were receipt and type of systemic therapy (oral anticancer agent or immunotherapy from 2 months before to 1 year after diagnosis of mRCC) as a function of patient and area-level characteristics. Multivariable regression analyses were used to adjust for patient factors, and odds ratios (ORs) from logistic regression and relative risk ratios (RRRs) from multinomial logistic regression are reported. Results: The sample included 15 407 patients (mean [SD] age, 75.6 [6.8] years), of whom 9360 (60.8%) were men; 6931 (45.0%), older than 75 years; 93 (0.6%), American Indian or Alaska Native; 257 (1.7%), Asian or Pacific Islander; 757 (4.9%), Hispanic; 1017 (6.6%), non-Hispanic Black; 12 966 (84.2%), non-Hispanic White; 121 (0.8%), other; and 196 (1.3%), unknown. Overall, 8317 patients (54.0%) received some type of systemic therapy. After adjusting for individual factors, no county or zip code-level measures of social vulnerability, deprivation, or segregation were associated with disparities in treatment. In contrast, patient-level factors, including female sex (OR, 0.78; 95% CI, 0.73-0.84) and LIS (OR, 0.48; 95% CI, 0.36-0.65), were associated with lack of treatment, with particularly limited access to immunotherapy for patients with LIS (RRR, 0.25; 95% CI, 0.14-0.43). Associations between individual-level factors and treatment in multivariable analysis were not mediated by the addition of area-level metrics. Disparities by race and ethnicity were consistently and only observed within the most vulnerable areas, as indicated by the top quartile of each vulnerability deprivation index. Conclusions and Relevance: In this cohort study of older Medicare patients diagnosed with mRCC, individual-level demographics, including race and ethnicity, sex, and income, were associated with receipt of systemic therapy, whereas area-level measures were not. However, individual-level racial and ethnic disparities were largely limited to socially vulnerable areas, suggesting that efforts to improve racial and ethnic disparities may be most effective when targeted to socially vulnerable areas.

Adaption and National Validation of a Tool for Predicting Mortality from Other Causes Among Men with Nonmetastatic Prostate Cancer.

BACKGROUND: An electronic health record-based tool could improve accuracy and eliminate bias in provider estimation of the risk of death from other causes among men with nonmetastatic cancer. OBJECTIVE: To recalibrate and validate the Veterans Aging Cohort Study Charlson Comorbidity Index (VACS-CCI) to predict non-prostate cancer mortality (non-PCM) and to compare it with a tool predicting prostate cancer mortality (PCM). DESIGN, SETTING, AND PARTICIPANTS: An observational cohort of men with biopsy-confirmed nonmetastatic prostate cancer, enrolled from 2001 to 2018 in the national US Veterans Health Administration (VA), was divided by the year of diagnosis into the development (2001-2006 and 2008-2018) and validation (2007) sets. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Mortality (all cause, non-PCM, and PCM) was evaluated. Accuracy was assessed using calibration curves and C statistic in the development, validation, and combined sets; overall; and by age (<65 and 65+ yr), race (White and Black), Hispanic ethnicity, and treatment groups. RESULTS AND LIMITATIONS: Among 107 370 individuals, we observed 24 977 deaths (86% non-PCM). The median age was 65 yr, 4947 were Black, and 5010 were Hispanic. Compared with CCI and age alone (C statistic 0.67, 95% confidence interval [CI] 0.67-0.68), VACS-CCI demonstrated improved validated discrimination (C statistic 0.75, 95% CI 0.74-0.75 for non-PCM). The prostate cancer mortality tool also discriminated well in validation (C statistic 0.81, 95% CI 0.78-0.83). Both were well calibrated overall and within subgroups. Owing to missing data, 18 009/125 379 (14%) were excluded, and VACS-CCI should be validated outside the VA prior to outside application. CONCLUSIONS: VACS-CCI is ready for implementation within the VA. Electronic health record-assisted calculation is feasible, improves accuracy over age and CCI alone, and could mitigate inaccuracy and bias in provider estimation. PATIENT SUMMARY: Veterans Aging Cohort Study Charlson Comorbidity Index is ready for application within the Veterans Health Administration. Electronic health record-assisted calculation is feasible, improves accuracy over age and Charlson Comorbidity Index alone, and might help mitigate inaccuracy and bias in provider estimation of the risk of non-prostate cancer mortality.

Patient experiences with tissue-based genomic testing during active surveillance for prostate cancer.

Background: Tissue-based gene expression (genomic) tests provide estimates of prostate cancer aggressiveness and are increasingly used for patients considering or engaged in active surveillance. However, little is known about patient experiences with genomic testing and its role in their decision-making. Methods: We performed a qualitative study consisting of in-depth, semi-structured interviews of patients with low- or favourable-intermediate-risk prostate cancer managed with active surveillance. We purposively sampled to include patients who received biopsy-based genomic testing as part of clinical care. The interview guide focused on experiences with genomic testing during patients' decision-making for prostate cancer management and understanding of genomic test results. We continued interviews until thematic saturation was reached, iteratively created a code key and used conventional content analysis to analyse data. Results: Participants' (n = 20) mean age was 68 years (range 51-79). At initial biopsy, 17 (85%) had a Gleason grade group 1, and 3 (15%) had a grade group 2 prostate cancer. The decision to undergo genomic testing was driven by both participants and physicians' recommendations; however, some participants were unaware that testing had occurred. Overall, participants understood the role of genomic testing in estimating their prostate cancer risk, and the test results increased their confidence in the decision for active surveillance. Participants had some misconceptions about the difference between tissue-based gene expression tests and germline genetic tests and commonly believed that tissue-based tests measured hereditary cancer risk. While some participants expressed satisfaction with their physicians' explanations, others felt that communication was limited and lacked sufficient detail. Conclusion: Patients interact with and are influenced by the results of biopsy-based genomic testing during active surveillance for prostate cancer, despite gaps in understanding about test results. Our findings indicate areas for improvement in patient counselling in order to increase patient knowledge and comfort with genomic testing.

Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology.

OBJECTIVE: To compute a dense prostate cancer risk map for the individual patient post-biopsy from magnetic resonance imaging (MRI) and to provide a more reliable evaluation of its fitness in prostate regions that were not identified as suspicious for cancer by a human-reader in pre- and intra-biopsy imaging analysis. METHODS: Low-level pre-biopsy MRI biomarkers from targeted and non-targeted biopsy locations were extracted and statistically tested for representativeness against biomarkers from non-biopsied prostate regions. A probabilistic machine learning classifier was optimized to map biomarkers to their core-level pathology, followed by extrapolation of pathology scores to non-biopsied prostate regions. Goodness-of-fit was assessed at targeted and non-targeted biopsy locations for the post-biopsy individual patient. RESULTS: Our experiments showed high predictability of imaging biomarkers in differentiating histopathology scores in thousands of non-targeted core-biopsy locations (ROC-AUCs: 0.85-0.88), but also high variability between patients (Median ROC-AUC [IQR]: 0.81-0.89 [0.29-0.40]). CONCLUSION: The sparseness of prostate biopsy data makes the validation of a whole gland risk mapping a non-trivial task. Previous studies i) focused on targeted-biopsy locations although biopsy-specimens drawn from systematically scattered locations across the prostate constitute a more representative sample to non-biopsied regions, and ii) estimated prediction-power across predicted instances (e.g., biopsy specimens) with no patient distinction, which may lead to unreliable estimation of model fitness to the individual patient due to variation between patients in instance count, imaging characteristics, and pathologies. SIGNIFICANCE: This study proposes a personalized whole-gland prostate cancer risk mapping post-biopsy to allow clinicians to better stage and personalize focal therapy treatment plans.

Implementation of a health system intervention to reduce time from presentation to surgical intervention for pediatric testicular torsion.

PURPOSE: Testicular salvage rates for torsion are time-dependent1. Door to detorsion time has been identified as an independent testicular survival factor2. We describe an initiative to reduce door to incision (DTI) time for pediatric testicular torsion. MATERIALS AND METHODS: An institutional multidisciplinary quality improvement initiative with a primary outcome of reducing DTI time for pediatric testicular torsion was developed with multidisciplinary stakeholders. Several process and balancing measures were used as secondary outcomes to help interpret and verify the observed change in DTI time. Interventions were implemented in cycles. Initial interventions standardized assessment of suspected torsion by Emergency Medicine utilizing a validated scoring system. A threshold Testicular Workup for Ischemia and Suspected Torsion (TWIST) score led to parallel notification of essential services for rapid assessment and case prioritization3. Subsequently, bedside ultrasound in the Emergency Department was implemented. Progress was tracked in a live dashboard and analyzed with X-mR process control charts and Nelson rules. These tools are used in quality improvement and process control to demonstrate the significance of changes as they are being implemented, prior to when traditional hypothesis testing would be able to do so. We aimed to increase the proportion of cases with DTI times under 4 h from 64% to >90% within one year. RESULTS: We observed 22 torsion cases prior to and 62 following initial implementation. The percentage of cases with DTI times under 4 h improved from 64% to 95%. At week 29, a shift identified a significant change on the X chart, with reduction in mean DTI time from 221 to 147 min. At the same time, a shift on the mR chart identified reduction in patient-to-patient variation. Mean time from arrival to Urology evaluation decreased from 140 to 56 min, mean time from arrival to scrotal ultrasound decreased from 70 to 36 min, and mean time from scrotal ultrasound to surgical incision decreased from 128 to 80 min. These improvements highlight the two key successes of our project: application of the TWIST score and bedside ultrasound for rapid assessment of suspected testicular torsions, and parallel processing of the evaluation and management. CONCLUSIONS: Implementation of a protocol for pediatric testicular torsion increased the proportion of cases with DTI time <4 h to 95%, decreased mean DTI time, and decreased variation. Our protocol provides a model to improve timeliness of care in treating pediatric testicular torsion.

Trends in new and persistent opioid use in older adults with and without cancer.

BACKGROUND: The impact of ongoing efforts to decrease opioid use on patients with cancer remains undefined. Our objective was to determine trends in new and additional opioid use in patients with and without cancer. METHODS: This retrospective cohort study used data from Surveillance, Epidemiology, and End Results program-Medicare for opioid-naive patients with solid tumor malignancies diagnosed from 2012 through 2017 and a random sample of patients without cancer. We identified 238 470 eligible patients with cancer and further focused on 4 clinical strata: patients without cancer, patients with metastatic cancer, patients with nonmetastatic cancer treated with surgery alone ("surgery alone"), and patients with nonmetastatic cancer treated with surgery plus chemotherapy or radiation therapy ("surgery+"). We identified new, early additional, and long-term additional opioid use and calculated the change in predicted probability of these outcomes from 2012 to 2017. RESULTS: New opioid use was higher in patients with cancer (46.4%) than in those without (6.9%) (P < .001). From 2012 to 2017, the predicted probability of new opioid use was more stable in the cancer strata (relative declines: 0.1% surgery alone; 2.4% surgery+; 8.8% metastatic cancer), than in the noncancer stratum (20.0%) (P < .001 for each cancer to noncancer comparison). Early additional use declined among surgery patients (‒14.9% and ‒17.5% for surgery alone and surgery+, respectively) but was stable among patients with metastatic disease (‒2.8%, P = .50). CONCLUSIONS: Opioid prescribing declined over time at a slower rate in patients with cancer than in patients without cancer. Our study suggests important but tempered effects of the changing opioid climate on patients with cancer.

Association between sociodemographic factors and diagnosis of lethal prostate cancer in early life.

OBJECTIVE: A subset of patients are diagnosed with lethal prostate cancer (CaP) early in life before prostate-specific antigen (PSA) screening is typically initiated. To identify opportunities for improved detection, we evaluated patient sociodemographic factors associated with advanced vs. localized (CaP) diagnosis across the age spectrum. METHODS: We conducted a retrospective cohort study using the National Cancer Database, identifying patients diagnosed with CaP from 2004 to 2020. We compared characteristics of patients diagnosed at the advanced (cN1 or M1) versus localized (cT1-4N0M0) stage. Using multivariable logistic regression, we evaluated the associations among patient clinical and sociodemographic factors and advanced diagnosis, stratifying patients by age as ≤55 (before screening is recommended for most patients), 56 to 65, 66 to 75, and ≥76 years. RESULTS: We identified 977,722 patients who met the inclusion criteria. The mean age at diagnosis was 65.3 years and 50,663 (5.1%) had advanced disease. Overall, uninsured (OR = 3.20, 95% CI 3.03-3.78) and Medicaid-insured (OR 2.58, 95% CI 2.48-2.69) vs. privately insured status was associated with higher odds of diagnosis with advanced disease and this effect was more pronounced for younger patients. Among patients ≤55 years, uninsured (OR 4.14, 95% CI 3.69-4.65) and Medicaid-insured (OR 3.39, 95% CI 3.10-3.72) vs. privately insured patients were associated with higher odds of advanced cancer at diagnosis. Similarly, residence in the lowest vs. highest income quartile was associated with increased odds of advanced CaP in patients ≤55 years (OR 1.15, 95% CI 1.02-1.30). Black vs. White race was associated with increased odds of advanced CaP at diagnosis later in life (OR 1.17, 95% CI 1.09-1.25); however, race was not significantly associated with advanced stage CaP in those ≤55 years (P = 0.635). CONCLUSIONS: Sociodemographic disparities in diagnosis at advanced stages of CaP were more pronounced in younger patients, particularly with respect to insurance status. These findings may support greater attention to differential use of early CaP screening based on patient health insurance.

Prostate cancer risk stratification using magnetic resonance imaging-ultrasound fusion vs systematic prostate biopsy.

BACKGROUND: Image-guided approaches improve the diagnostic yield of prostate biopsy and frequently modify estimates of clinical risk. To better understand the impact of magnetic resonance imaging-ultrasound fusion targeted biopsy (MRF-TB) on risk assessment, we compared the distribution of National Comprehensive Cancer Network (NCCN) risk groupings, as calculated from MRF-TB vs systematic biopsy alone. METHODS: We performed a retrospective analysis of 713 patients who underwent MRF-TB from January 2017 to July 2021. The primary study objective was to compare the distribution of National Comprehensive Cancer Network risk groupings obtained using MRF-TB (systematic + targeted) vs systematic biopsy. RESULTS: Systematic biopsy alone classified 10% of samples as very low risk and 18.7% of samples as low risk, while MRF-TB classified 10.5% of samples as very low risk and 16.1% of samples as low risk. Among patients with benign findings, low-risk disease, and favorable/intermediate-risk disease on systematic biopsy alone, 4.6% of biopsies were reclassified as high risk or very high risk on MRF-TB. Of 207 patients choosing active surveillance, 64 (31%), 91 (44%), 42 (20.2%), and 10 (4.8%) patients were classified as having very low-risk, low-risk, and favorable/intermediate-risk and unfavorable/intermediate-risk criteria, respectively. When using systematic biopsy alone, 204 patients (28.7%) were classified as having either very low-risk and low-risk disease per NCCN guidelines, while 190 men (26.6%) received this classification when using MRF-TB. CONCLUSION: The addition of MRF-TB to systematic biopsy may change eligibility for active surveillance in only a small proportion of patients with prostate cancer. Our findings support the need for routine use of quantitative risk assessment over risk groupings to promote more nuanced decision making for localized cancer.

Telehealth Availability for Cancer Care During the COVID-19 Pandemic: Cross-Sectional Study.

BACKGROUND: Telehealth was an important strategy for maintaining continuity of cancer care during the coronavirus pandemic and has continued to play a role in outpatient care; however, it is unknown whether services are equally available across cancer hospitals. OBJECTIVE: This study aimed to assess telehealth availability at cancer hospitals for new and established patients with common cancers to contextualize the impact of access barriers to technology on overall access to health care. METHODS: We conducted a national cross-sectional secret shopper study from June to November 2020 to assess telehealth availability at cancer hospitals for new and established patients with colorectal, breast, and skin (melanoma) cancer. We examined facility-level factors to determine predictors of telehealth availability. RESULTS: Of the 312 investigated facilities, 97.1% (n=303) provided telehealth services for at least 1 cancer site. Telehealth was less available to new compared to established patients (n=226, 72% vs n=301, 97.1%). The surveyed cancer hospitals more commonly offered telehealth visits for breast cancer care (n=266, 85%) and provided lower access to telehealth for skin (melanoma) cancer care (n=231, 74%). Most hospitals (n=163, 52%) offered telehealth for all 3 cancer types. Telehealth availability was weakly correlated across cancer types within a given facility for new (r=0.16, 95% CI 0.09-0.23) and established (r=0.14, 95% CI 0.08-0.21) patients. Telehealth was more commonly available for new patients at National Cancer Institute-designated facilities, medical school-affiliated facilities, and major teaching sites, with high total admissions and below-average timeliness of care. Telehealth availability for established patients was highest at Academic Comprehensive Cancer Programs, nongovernment and nonprofit facilities, medical school-affiliated facilities, Accountable Care Organizations, and facilities with a high number of total admissions. CONCLUSIONS: Despite an increase in telehealth services for patients with cancer during the COVID-19 pandemic, we identified differences in access across cancer hospitals, which may relate to measures of clinical volume, affiliation, and infrastructure.

Survival outcomes of patients treated with local therapy for nonmetastatic prostate cancer with high prostate-specific antigen concentrations.

BACKGROUND: Patients with nonmetastatic prostate cancer (nmPCa) and high prostate-specific antigen (PSA) levels due to the high likelihood of metastasis pose a clinical dilemma regarding their optimal treatment and long-term outcomes after initial local therapy. We aimed to evaluate the oncologic outcomes of patients treated with radical prostatectomy (RP) or radiotherapy (RT) for nmPCa with high PSA levels. METHODS: We queried the Surveillance, Epidemiology, and End Results (SEER) database to identify patients diagnosed with nmPCa who received RP or RT from 2004 through 2015. We included nmPCa patients with high PSA levels categorized as ≥50 and ≥98 ng/mL, the highest level recorded in SEER. We used the Kaplan-Meier method and Cox proportional hazards to analyze cancer-specific (CSS) and overall survival (OS). RESULTS: We included 6177 patients with nmPCa and PSA ≥ 50 ng/mL at diagnosis; 1698 (27%) had PSA ≥ 98 ng/mL. Of these, 1658 (26.8%) underwent RP and 4519 (73.16%) patients received primary RT. Within a median of 113 months (interquartile range 74-150 months), the 5- and 10-year CSS estimates were 92.3% and 81.5% respectively; 10-year OS was 61%. In the PSA ≥ 98 ng/mL subgroup 5- and 10-year CSS estimates were 89.2% and 76%, respectively. In multivariable analyses for CSS, ISUP grade group (p < 0.001), N stage (p < 0.001), treatment with RP (hazard ratio [HR] = 0.60, 95% confidence interval [CI] 0.43-0.83, p < 0.001), and patient's age (p < 0.05) were associated with improved CSS. In the whole cohort of patients with PSA ≥ 50 ng/mL and RP subgroup, PSA failed to retain its independent prognostic value for CSS. CONCLUSIONS: Patients treated with local therapy for nmPCa with very high PSA at diagnosis have relatively good long-term oncological outcomes. Therefore, among well-selected patients with nmPCa, high PSA levels alone should not preclude the use of radical local therapy. Potential selection bias limits inferences about the relative effectiveness of specific local therapies in this setting.