Patterns and determinants of pediatric dermatologic care in the United States: An evaluation of the National Ambulatory Medical Care Survey from 2009 to 2015.

BACKGROUND: Dermatologists and other providers play essential roles in managing the dermatologic care of pediatric patients. This study aims to identify patterns and elucidate factors associated with receiving dermatologic care in the United States. METHODS: The National Ambulatory Medical Care Survey (NAMCS) was used to identify pediatric patients with dermatologic diagnoses from 2009 to 2015. Clinical and demographic information were evaluated, and visit diagnoses were stratified based on provider type (dermatologists vs. non-dermatologists). Multivariate logistic regression analysis was used to identify key predictors of outpatient dermatology care for pediatric patients. National estimates of diagnoses were procured using weights provided within the NAMCS database to project disease incidence. RESULTS: A total of 85,217,557 pediatric patients (survey-weighted) were observed during the study period. Of the sampled patients, 29.3% were evaluated by dermatologists, while 70.7% were seen by non-dermatology providers. Atopic dermatitis was the most common diagnosis encountered by dermatologists in ages 0-3 years, while unspecified contact dermatitis was the most common diagnosis reported by non-dermatologists in all age groups. On multivariable logistic regression, ≥1 year of age, Caucasian race, private insurance versus Medicaid, residence in a metropolitan area, referral from another provider, and longer appointment wait time were associated with an increased likelihood of being evaluated by a dermatologist compared to a non-dermatologist. CONCLUSIONS: Non-dermatologists are responsible for the majority of pediatric dermatologic care. For pediatric patients, health disparities by race, insurance status, and rurality present significant challenges to being evaluated by a dermatologist.

Health Care Utilization and Costs in Systemic Therapies for Metastatic Melanoma from 2016 to 2020.

BACKGROUND: Widespread implementation of immune checkpoint inhibitors (ICI) and targeted therapies for metastatic melanoma has led to a decline in melanoma-related mortality but increased healthcare costs. We aimed to determine how healthcare utilization varied by systemic, non-adjuvant melanoma treatment from 2016 to 2020. PATIENTS AND METHODS: Adults with presumed stage IV metastatic melanoma receiving systemic therapy from 2016 to 2020 were identified in Optum, a nationwide commercial claims database. Treatment groups were nivolumab, pembrolizumab, ipilimumab+nivolumab (combination-ICI), or BRAF+MEK inhibitor (BRAFi+MEKi) therapy. Outcomes included hospitalizations, days hospitalized, emergency room (ER) visits, outpatient visits, and healthcare costs per patient per month (pppm). Multivariable regression models were used to analyze whether cost and utilization outcomes varied by treatment group, with nivolumab as reference. RESULTS: Among 2018 adult patients with metastatic melanoma identified, mean (SD) age was 67 (15) years. From 2016 to 2020, nivolumab surpassed pembrolizumab as the most prescribed systemic melanoma therapy while combination-ICI and BRAFi+MEKi therapies remained stable. Relative to nivolumab, all other therapies were associated with increased total healthcare costs (combination-ICI: ß = $47 600 pppm, 95%CI $42 200-$53 100; BRAFi+MEKi: ß = $3810, 95%CI $365-$7260; pembrolizumab: ß = $6450, 95%CI $4420-$8480). Combination-ICI and BRAFi+MEKi therapies were associated with more inpatient hospital days. CONCLUSIONS: Amid the evolving landscape of systemic therapy for advanced melanoma, nivolumab monotherapy emerged as the most used and least costly systemic treatment from 2016 to 2020. Its sharp increase in use in 2018 and lower costs relative to pembrolizumab may in part be due to earlier adoption of less frequent dosing intervals.

Competing risks analysis of Merkel cell carcinoma with concurrent chronic lymphocytic leukemia and non-Hodgkin lymphoma.

BACKGROUND: Although hematogenous malignancy is a risk factor for poorer prognosis in Merkel cell carcinoma (MCC), current guidelines make no specific recommendations for surveillance. OBJECTIVE: We aim to characterize MCC-specific mortality compared to other causes of death for patients with hematologic malignancy in MCC, which will guide workup and surveillance strategies. METHODS: The Surveillance, Epidemiology, and End Results-18 registry was queried for MCC patients with chronic lymphocytic leukemia (CLL) or non-Hodgkin lymphoma (NHL). RESULTS: Of 8519 patients with MCC, 146 (1.7%) had CLL and 234 (2.8%) had NHL. Chronic lymphocytic leukemia patients had 5-year cumulative incidence of MCC-specific mortality of 38.4% versus 28.4% in patients without CLL/NHL. For both cohorts, oncologic risk was highest within the first three years of diagnosis with competing risks favored thereafter. On competing risk regression, a history of CLL trended toward statistical significance with poorer MCC-specific mortality (subdistribution hazard ratio: 1.33, 95% CI: 0.963-1.834, P=0.084), while NHL was not prognostic. CONCLUSIONS: Merkel cell carcinoma patients with CLL may benefit from more aggressive initial management. Surveillance for similar length in CLL patients with MCC may be appropriate; this co-morbidity did not affect the timeframe by which the risk of competing causes of death exceeded oncologic risks.

Socioeconomic and Racial Determinants of Brachytherapy Utilization for Cervical Cancer: Concerns for Widening Disparities.

PURPOSE: Cervical cancer (CC) disproportionately affects minorities who have higher incidence and mortality rates. Standard of care for locally advanced CC involves a multimodality approach including brachytherapy (BT), which independently improves oncologic outcomes. Here, we examine the impact of insurance status and race on BT utilization with the SEER database. MATERIALS AND METHODS: In total, 7,266 patients with stage I-IV CC diagnosed from 2007 to 2015 were included. BT utilization, overall survival (OS), and disease-specific survival (DSS) were compared. RESULTS: Overall, 3,832 (52.7%) received combined external beam radiation therapy (EBRT) + BT, whereas 3,434 (47.3%) received EBRT alone. On multivariate logistic regression analysis, increasing age (OR, 0.98; 95% CI, 0.98 to 0.99; P < .001); Medicaid (OR, 0.80; 95% CI, 0.72 to 0.88; P < .001), uninsured (OR, 0.67; 95% CI, 0.56 to 0.80; P < .001), and unknown versus private insurance (OR, 0.61; 95% CI, 0.43 to 0.86; P < .001); Black (OR, 0.68; 95% CI, 0.60 to 0.77; P < .001) and unknown versus White race (OR, 0.30; 95% CI, 0.13 to 0.77; P = .047); and American Joint Committee on Cancer stage II (OR, 1.07; 95% CI, 0.93 to 1.24; P = .36), stage III (OR, 0.82; 95% CI, 0.71 to 0.94; P = .006), stage IV (OR, 0.30; 95% CI, 0.23 to 0.40; P < .001), and unknown stage versus stage I (OR, 0.36; 95% CI, 0.28 to 0.45; P < .001) were associated with decreased BT utilization. When comparing racial survival differences, the 5-year OS was 44.2% versus 50.9% (P < .0001) and the 5-year DSS was 55.6% versus 60.5% (P < .0001) for Black and White patients, respectively. Importantly, the racial survival disparities resolved when examining patients who received combined EBRT + BT, with the 5-year OS of 57.3% versus58.5% (P = .24) and the 5-year DSS of 66.3% versus 66.6% (P = .53) for Black and White patients, respectively. CONCLUSION: This work demonstrates notable inequities in BT utilization for CC that particularly affects patients of lower insurance status and Black race, which translates into inferior oncologic outcomes. Importantly, the use of BT was able to overcome racial survival differences, thus highlighting its essential value.

Incidence, risk factors, and outcome of Clostridioides difficile infection following urological surgeries.

PURPOSE: To assess the incidence, risk factors, and clinical outcomes associated with (Clostridioides difficile infection) CDI following urological surgery, which is the leading cause of nosocomial diarrhea and a growing public health burden. METHODS: We queried the National Surgical Quality Improvement Program (NSQIP) to identify patients undergoing urological surgery in 2015-2016. We evaluated the 30-day incidence and factors associated with postoperative CDI and 30-day hospital readmission and length of stay as secondary outcomes. Among the subset of patients undergoing radical cystectomy with urinary diversion (surgery with highest CDI incidence) we used multivariable logistic regression analysis to evaluate independent clinical and demographic factors associated with postoperative CDI. RESULTS: We identified 98,463 patients during the study period. The overall 30-day incidence of CDI was 0.31%, but varied considerably across surgery type. The risk of CDI was greatest following radical cystectomy with urinary diversion (2.72%) compared to all other urologic procedures (0.19%) and was associated with increased risk of hospital readmission (p < 0.0001), re-operation (p < 0.0001), and longer mean length of stay (p < 0.0001) in this cohort. Among patients undergoing radical cystectomy with urinary diversion, multivariable logistic regression revealed that preoperative renal failure (OR: 5.30, 95% CI 1.13-24.9, p = 0.035) and blood loss requiring transfusion (OR: 1.67, 95% CI 1.15-2.44, p = 0.0075) were independently associated with CDI. CONCLUSIONS: In a nationally representative cohort, the incidence of CDI was low but varied substantially across surgery types. CDI was most common following radical cystectomy and associated with potentially modifiable factors such as blood transfusion and significantly longer length of stay.

National trends in the management of patients with positive surgical margins at radical prostatectomy.

PURPOSE: To evaluate practice patterns of planned post-operative radiation therapy (RT) among men with positive surgical margins (PSM) at radical prostatectomy. METHODS: We identified 43,806 men within the National Cancer Database with pathologic node-negative prostate cancer diagnosed in 2010 through 2014 with PSM. The primary endpoint was receipt of planned (RT) within a patient's initial course of treatment. We examined post-RP androgen deprivation therapy (ADT) with RT as a secondary endpoint. We evaluated patterns of post-operative management and characteristics associated with planned post-prostatectomy RT. RESULTS: Within 12 months of RP, 87.0% received no planned RT, 8.5% RT alone, 1.3% ADT alone, and 3.1% RT with ADT. In a multivariable logistic regression model, planned RT use was associated with clinical and pathologic characteristics as estimated by surgical Cancer of the Prostate Risk Assessment (CAPRA-S) category (intermediate versus low, OR = 2.87, 95% CI 2.19-3.75, P < 0.001; high versus low, OR = 10.23, 95% CI 7.79-13.43, P < 0.001), treatment at community versus academic centers (OR = 1.24, 95% CI 1.15-1.34, P < 0.001), shorter distance to a treatment facility (OR = 0.97 for each 10-mile, 95% CI 0.96-0.98, P < 0.001), and uninsured status (OR = 1.39, 95% CI 1.10-1.77, P = 0.005). The odds of receiving planned RT were lower in 2014 versus 2010 (OR = 0.76, 95% CI 0.68-0.85, P < 0.001). There was no significant change in the use of ADT with RT. High versus low CAPRA-S category was associated with the use of ADT in addition to RT (OR = 5.13, 95% CI 1.57-16.80, P = 0.007). CONCLUSION: The use of planned post-prostatectomy RT remained stable among patients with PSM and appears driven primarily by the presence of other adverse pathologic features.

Distinguishing Benign Renal Tumors with an Oncocytic Gene Expression (ONEX) Classifier.

Renal oncocytoma (RO) accounts for 5% of renal cancers and generally behaves as a benign tumor with favorable long-term prognosis. It is difficult to confidently distinguish between benign RO and other renal malignancies, particularly chromophobe renal cell carcinoma (chRCC). Therefore, RO is often managed aggressively with surgery. We sought to identify molecular biomarkers to distinguish RO from chRCC and other malignant renal cancer mimics. In a 44-patient discovery cohort, we identified a significant differential abundance of nine genes in RO relative to chRCC. These genes were used to train a classifier to distinguish RO from chRCC in an independent 57-patient cohort. The trained classifier was then validated in five independent cohorts comprising 89 total patients. This nine-gene classifier trained on the basis of differential gene expression showed 93% sensitivity and 98% specificity for distinguishing RO from chRCC across the pooled validation cohorts, with a c-statistic of 0.978. This tool may be a useful adjunct to other diagnostic modalities to decrease the diagnostic and management uncertainty associated with small renal masses and to enable clinicians to recommend more confidently less aggressive management for some tumors. PATIENT SUMMARY: Renal oncocytoma is generally a benign form of kidney cancer that does not necessarily require surgical removal. However, it is difficult to distinguish renal oncocytoma from other more aggressive forms of kidney cancer, so it is treated most commonly with surgery. We built a classification tool based on the RNA levels of nine genes that may help avoid these surgeries by reliably distinguishing renal oncocytoma from other forms of kidney cancer.

Association Between Twitter Reception at a National Urology Conference and Future Publication Status.

BACKGROUND: Social media is an increasingly popular means to disseminate medical research. However, it is unknown whether the extent to which content is shared mirrors conventional measures of scientific merit or impact. OBJECTIVE: To examine whether Twitter activity (as measured by the number of "likes" and "retweets" [RTs]) relating to original research presented at a national urology meeting was associated with subsequent publication status and journal impact factor (IF). DESIGN, SETTING, AND PARTICIPANTS: We retrospectively reviewed Twitter data obtained through the Keyhole archiving platform using the hashtag "#aua15" from May 1 through June 1, 2015 reflecting the hashtag of the American Urological Association (AUA) meeting. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We analyzed all posts containing keywords related to research studies. Among posts reporting on newly presented studies with discernable attribution, we evaluated subsequent publication status within 45 mo, including journal IF. We compared social media reception (number of likes/RTs) by publication status, and assessed the relationship between social media reception and subsequent journal IF using Pearson's correlation. RESULTS AND LIMITATIONS: A total of 15 303 posts were associated with #aua15 between May 1 and June 1, 2015, which reached 2 263 438 users. The median number of likes/RTs was 2 (interquartile range 1-3). We analyzed all posts receiving at least one like/RT (n = 2964) for text content related to research and identified 496 associated with new scientific studies presented at the meeting. Forty-five months following the AUA meeting, 96 studies were identifiable on PubMed (19.4%). Research with more likes/RTs at the AUA meeting were more likely to be subsequently published (p = 0.001). Among published studies, there was a modest, positive correlation between the number of likes/RTs and publication journal IF (r2 = 0.36). CONCLUSIONS: Measures of social media engagement with data presented at a national medical meeting were positively correlated with subsequent publication and journal IF after presentation. PATIENT SUMMARY: New urological research that was shared more often at a national meeting was more likely to be published in journals that are more highly cited.

Outcomes of Serial Multiparametric Magnetic Resonance Imaging and Subsequent Biopsy in Men with Low-risk Prostate Cancer Managed with Active Surveillance.

BACKGROUND: Outcomes of serial multiparametric magnetic resonance imaging (mpMRI) and subsequent biopsy in monitoring prostate cancer (PCa) in men on active surveillance (AS) have not been defined clearly. OBJECTIVE: To determine whether changes in serial mpMRI can predict pathological upgrade among men with grade group (GG) 1 PCa managed with AS. DESIGN, SETTING, AND PARTICIPANTS: Retrospective analysis of men with GG1 on AS with at least two consecutive mpMRI examinations during 2012-2018 who underwent mpMRI/ultrasound fusion or systematic biopsies. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Progression on serial mpMRI was evaluated as a predictor of pathological upgrading to GG≥2 on a follow-up biopsy using clinical, pathological, and imaging factors in binary logistic regression. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were determined. RESULTS AND LIMITATIONS: Of 122 patients, 29 men (23.8%) experienced pathological upgrade on the follow-up biopsy. Progression on mpMRI was not associated with pathological upgrade. The sensitivity, specificity, PPV, and NPV of mpMRI progression for predicting pathological upgrade were 41.3%, 54.8%, 22.2%, and 75%, respectively. Age (odds ratio [OR] 1.17, p=0.006), Prostate Imaging Reporting and Data System (PI-RADS) score on initial mpMRI (4-5 vs ≤3, OR 7.48, p=0.01), number of positive systematic cores (OR 1.84, p=0.03), number of positive targeted cores (OR 0.44, p=0.04), and maximum percent of targeted core tumor involvement (OR 1.04, p=0.01) were significantly associated with pathological upgrade. CONCLUSIONS: We did not observe an association between mpMRI progression and pathological upgrade; however, a PI-RADS score of 4-5 on initial mpMRI was predictive of subsequent pathological progression. The continued use of systematic and fusion biopsies appears necessary due to risks of reclassification over time. PATIENT SUMMARY: Progression on serial multiparametric magnetic resonance imaging during active surveillance (AS) is not associated with progression on the follow-up biopsy. Both systematic and fusion biopsies are necessary to sufficiently capture progression during AS.

Sweet syndrome as an adverse reaction to tyrosine kinase inhibitors: A review.

Tyrosine kinase inhibitors are a class of targeted anticancer drugs that inhibit cancer cell proliferation by inactivating proteins involved in signal transduction cascades. Various cutaneous adverse events have been observed after tyrosine kinase inhibitor administration, including Sweet syndrome. We queried the PubMed database to identify 14 cases of Sweet syndrome thought to be secondary to tyrosine kinase inhibitors. Tyrosine kinase inhibitor-induced Sweet syndrome had a median of 2 months latency following drug administration. All cases but one had morphologic features classic for Sweet syndrome (erythematous and tender papules, plaques, or nodules). All cases also had classic histopathologic findings (dermal neutrophilic infiltrate without vasculitis or necrosis). Using diagnostic criteria for drug-induced Sweet syndrome and the Naranjo Drug Reaction Probability Scale for a drug-induced cutaneous eruption, we found that six cases favored a drug-induced etiology over malignancy, two cases favored a malignancy-associated Sweet syndrome, and the remaining eight met drug-induced Sweet syndrome criteria but had low Naranjo scores. Nine cases resulted in medication discontinuation, while five cases continued anticancer therapy and were treated only with corticosteroids with quick resolution of skin lesions. Dermatologists should be aware of this adverse cutaneous reaction to tyrosine kinase inhibitors and should treat on a case-by-case basis, though limited evidence in this review suggests that oncologic therapy may safely be continued with prompt corticosteroid treatment.

Mobility of Oxathiapiprolin and Mefenoxam in Citrus Seedlings After Root Application and Implications for Managing Phytophthora Root Rot.

Oxathiapiprolin is highly effective in the management of Phytophthora root rot of citrus; however, its uptake into plants after soil application is not known. This was investigated and compared with mefenoxam using potted citrus seedlings sampled 7, 10, 13, and 16 days after soil treatments. Bioassays and high-performance liquid chromatography tandem mass spectroscopy (HPLC-MS/MS) were used to quantify fungicide amounts in plant extracts. Distinct inhibition zones of mycelial growth of Phytophthora citrophthora were observed in bioassays when root, stem, or leaf extracts were added to filter paper disks on agar plates. Based on the two quantification methods, concentrations of both fungicides in the three tissue types and at all sampling times were above the mean effective concentration that provides 50% growth reduction values of the baseline sensitivities. Relative concentrations at the four sampling times sometimes varied between the two methods but, for both methods, concentrations of oxathiapiprolin were significantly higher in roots and leaves as compared with stems 10 days after treatment and statistically similar in the three tissues after 7 days. For mefenoxam, concentrations significantly increased in roots between 7 and 16 days after treatment and were significantly the highest in roots as compared with stems or leaves 16 days after treatment. Regressions of oxathiapiprolin and mefenoxam concentrations using HPLC-MS/MS on those calculated from bioassay standard curves indicated that the bioassays overestimated fungicide amounts in the extracts. The bioassay, however, can be considered an alternative option comparable with costly residue analyses in fungicide mobility studies in plants. Uptake of oxathiapiprolin at sufficient but low concentrations into plant roots provides an explanation for its long-lasting high activity in the management of Phytophthora root rot.