Heterogeneity in stone culture protocols and endourologist practice patterns: a multi-institutional survey.

Kidney stone cultures can be beneficial in identifying bacteria not detected in urine, yet how stone cultures are performed among endourologists, under what conditions, and by what laboratory methods remain largely unknown. Stone cultures are not addressed by current clinical guidelines. A comprehensive REDCap electronic survey sought responses from directed (n = 20) and listserv elicited (n = 108) endourologists specializing in kidney stone disease. Questions included which clinical scenarios prompt a stone culture order, how results influence post-operative antibiotics, and what microbiology lab protocols exist at each institution with respect to processing and resulting stone cultures. Logistic regression statistical analysis determined what factors were associated with performing stone cultures. Of 128 unique responses, 11% identified as female and the mean years of practicing was 16 (range 1-46). A specific 'stone culture' order was available to only 50% (64/128) of those surveyed, while 32% (41/128) reported culturing stone by placing a urine culture order. The duration of antibiotics given for a positive stone culture varied, with 4-7 days (46%) and 8-14 days (21%) the most reported. More years in practice was associated with fewer stone cultures ordered, while higher annual volume of percutaneous nephrolithotomy was associated with ordering more stone cultures (p < 0.01). Endourologists have differing practice patterns with respect to ordering stone cultures and utilizing the results to guide post-operative antibiotics. With inconsistent microbiology lab stone culture protocols across multiple institutions, more uniform processing is needed for future studies to assess the clinical benefit of stone cultures and direct future guidelines.

Renal Cell Carcinoma Surgical Treatment Disparities in American Indian/Alaska Natives and Hispanic Americans in Arizona.

American Indians/Alaska Natives (AI/AN) and Hispanic Americans (HA) have higher kidney cancer incidence and mortality rates compared to non-Hispanic Whites (NHW). Herein, we describe the disparity in renal cell carcinoma (RCC) surgical treatment for AI/AN and HA and the potential association with mortality in Arizona. A total of 5111 stage I RCC cases diagnosed between 2007 and 2016 from the Arizona Cancer Registry were included. Statistical analyses were performed to test the association of race/ethnicity with surgical treatment pattern and overall mortality, adjusting for patients' demographic, healthcare access, and socioeconomic factors. AI/AN were diagnosed 6 years younger than NHW and were more likely to receive radical rather than partial nephrectomy (OR 1.49 95% CI: 1.07-2.07) compared to NHW. Mexican Americans had increased odds of not undergoing surgical treatment (OR 1.66, 95% CI: 1.08-2.53). Analysis showed that not undergoing surgical treatment and undergoing radical nephrectomy were statistically significantly associated with higher overall mortality (HR 1.82 95% CI: 1.21-2.76 and HR 1.59 95% CI: 1.30-1.95 respectively). Mexican Americans, particularly U.S.-born Mexican Americans, had an increased risk for overall mortality and RCC-specific mortality even after adjusting for neighborhood socioeconomic factors and surgical treatment patterns. Although statistically not significant after adjusting for neighborhood-level socioeconomic factors and surgical treatment patterns, AI/AN had an elevated risk of mortality.

Digital image analysis using video microscopy of human-derived prostate cancer vs normal prostate organoids to assess migratory behavior on extracellular matrix proteins.

The advent of perpetuating living organoids derived from patient tissue is a promising avenue for cancer research but is limited by difficulties with precise characterization. In this brief communication, we demonstrate via time-lapse imaging distinct phenotypes of prostate organoids derived from patient material- without confirmation of cellular identity. We show that organoids derived from histologically normal tissue more readily spread on a physiologic extracellular matrix (ECM) than on pathologic ECM (p<0.0001), while tumor-derived organoids spread equally on either substrate (p=0.2406). This study is an important proof-of-concept to defer precise characterization of organoids and still glean information into disease pathology.

Racial and Ethnic Disparities in Preoperative Surgical Wait Time and Renal Cell Carcinoma Tumor Characteristics.

Racial/ethnic minority groups have a disproportionate burden of kidney cancer. The objective of this study was to assess if race/ethnicity was associated with a longer surgical wait time (SWT) and upstaging in the pre-COVID-19 pandemic time with a special focus on Hispanic Americans (HAs) and American Indian/Alaska Natives (AIs/ANs). Medical records of renal cell carcinoma (RCC) patients who underwent nephrectomy between 2010 and 2020 were retrospectively reviewed (n = 489). Patients with a prior cancer diagnosis were excluded. SWT was defined as the date of diagnostic imaging examination to date of nephrectomy. Out of a total of 363 patients included, 34.2% were HAs and 8.3% were AIs/ANs. While 49.2% of HA patients experienced a longer SWT (≥90 days), 36.1% of Non-Hispanic White (NHW) patients experienced a longer SWT. Longer SWT had no statistically significant impact on tumor characteristics. Patients with public insurance coverage had increased odds of longer SWT (OR 2.89, 95% CI: 1.53-5.45). Public insurance coverage represented 66.1% HA and 70.0% AIs/ANs compared to 56.7% in NHWs. Compared to NHWs, HAs had higher odds for longer SWT in patients with early-stage RCC (OR, 2.38; 95% CI: 1.25-4.53). HAs (OR 2.24, 95% CI: 1.07-4.66) and AIs/ANs (OR 3.79, 95% CI: 1.32-10.88) had greater odds of upstaging compared to NHWs. While a delay in surgical care for early-stage RCC is safe in a general population, it may negatively impact high-risk populations, such as HAs who have a prolonged SWT or choose active surveillance.

Renal Cell Carcinoma Health Disparities in Stage and Mortality among American Indians/Alaska Natives and Hispanic Americans: Comparison of National Cancer Database and Arizona Cancer Registry Data.

Renal cell carcinoma (RCC) is one of the top 10 cancers in the United States. This study assessed RCC health disparities in American Indians/Alaska Natives (AIs/ANs) and Hispanic Americans (HAs) focusing on advanced-stage and mortality. RCC patients' data were obtained from the National Cancer Database (NCDB) and Arizona Cancer Registry (ACR). Logistic and Cox regression analyses were performed to ascertain the effect of race/ethnicity on stage and mortality, adjusting for neighborhood socioeconomic factors, rural/urban residence pattern, and other factors. In both data sets, AIs/ANs had significantly increased odds of advanced-stage RCC in the unadjusted model, but not in adjusted models. Mexican Americans had higher odds of advanced-stage compared to non-Hispanic Whites in NCDB (OR 1.22, 95% CI: 1.11-1.35) and ACR (OR 2.02, 95% CI: 1.58-2.58), even after adjusting for neighborhood characteristics. AIs/ANs did not show increased mortality risk in NCDB after adjusting for neighborhood characteristics, while the association remained significant in ACR (HR 1.33, 95% CI: 1.03-1.72). The great risk of all-cause and RCC-specific mortality was observed in U.S.-born Mexican Americans in Arizona (HR 3.21, 95% CI: 2.61-3.98 and sub-distribution HR 2.79, 95% CI: 2.05-3.81). RCC disparities in AIs/ANs is partially explained by neighborhood factors, but not in HAs.

Online Kidney Stone Educational Materials Do Not Meet Recommended Readability Standards.

INTRODUCTION: The prevalence of kidney stones is rising and there is an increasing demand for reliable, easy to understand information for patients. To evaluate the readability of common Internet-based resources for kidney stones, we examined whether the most popular online educational materials may be contributing to decreased health literacy for this chronic condition. METHODS: Websites for readability analysis were chosen based on a Google.com search using the search term "kidney stones." The top 10 websites were chosen for analysis and their quality was assessed by the presence or absence of a HONcode certificate. Readability was determined using 6 readability assessment tools: Flesch Reading Ease, FORCAST, Fry, Gunning Fog, Raygor Estimate and Simple Measure of Gobbledygook. Each website was then analyzed by subsections, with emphasis on the treatment and prevention of kidney stones. RESULTS: Of the 10 websites analyzed 8 had HONcode certification. Grade level calculations ranged from 7-13.9. All 10 websites were found to have readability levels above the recommended sixth-grade reading level. Mean Flesch Reading Ease score was 59 (range 47-73). With respect to treatment and prevention sections, 6/10 and 5/10 websites had readability levels above a tenth-grade level, respectively. CONCLUSIONS: The most commonly accessed websites regarding kidney stones have readability scores above what is comprehensible to the general public, with most exceeding grade level recommendations from the American Medical Association. Websites pertaining to kidney stones need to be simplified to facilitate patient understanding, especially with respect to the treatment and prevention of kidney stones.

Insomnia Symptoms Among Female Veterans: Prevalence, Risk Factors, and the Impact on Psychosocial Functioning and Health Care Utilization.

STUDY OBJECTIVES: To examine the prevalence of self-reported insomnia symptoms, identify subgroups of female veterans with clinically significant insomnia symptoms, and examine the effect on psychosocial functioning and health care utilization. METHODS: Cross-sectional analysis of insomnia symptoms and associated characteristics among a stratified random sample of female veterans using Department of Veterans Affairs primary care facilities between October 1, 2010 and September 30, 2011 (n = 6,261) throughout the United States. The primary outcome was reported presence of insomnia symptoms. Other variables included psychological disorders, chronic conditions, chronic pain, and demographic variables. RESULTS: Overall, 47.39% of female veterans screened positively for insomnia symptoms. They differed demographically from those without insomnia symptoms and reported more substance use, chronic physical conditions, and psychological conditions. Receiver operating characteristic analysis indicated the primary factor that differentiated those with versus those without insomnia symptoms was depression. Individuals were further differentiated based on presence of pain and posttraumatic stress disorder. Results yielded eight homogenous subgroups of women at low and high risk of experiencing insomnia symptoms. CONCLUSIONS: Sleep problems are common among female veterans (47.39%) despite limited diagnosis of sleep disorders (0.90%). Eight unique subgroups of female veterans with both low and high insomnia symptoms were observed. These subgroups differed in terms of psychosocial functioning and health care utilization, with those with depression, posttraumatic stress disorder, and pain having the poorest outcomes. These results shed light on the prevalence of insomnia symptoms experienced among female veterans and the effect on psychosocial functioning and health care utilization. Results can inform targeted detection and customized treatment among female veterans.

Intensive Outpatient Program Effects on High-need Patients' Access, Continuity, Coordination, and Engagement.

OBJECTIVE: The intensive and varied services required by high-need patients have inspired a number of new care delivery models; however, evidence of their effectiveness is mixed. This study evaluated whether augmenting a patient-centered medical home (PCMH) with intensive outpatient management enhances high-need patients' care processes. RESEARCH DESIGN: Retrospective analysis using differences-in-differences and χ tests. SUBJECTS: Of 545 high-need patients receiving PCMH care, 140 were previously randomly selected for the intensive outpatient management program; the remaining received usual care. MEASURES: We evaluated program effects on care continuity (proportion of primary care visits with assigned primary care physician); access (proportion of telephone visits out of all primary care encounters, missed appointment rate); care coordination (rate of follow-up after hospital discharge, new telehealth enrollment); and patient engagement (rates of online personal health record registration, advance directive completion). RESULTS: Compared with patients receiving usual care, patients enrolled in intensive management experienced a 5.9% increase in proportion of primary care visits with an assigned primary care physician (P<0.001) and a 17.9% increase in proportion of telephone-based visits (P<0.001). Patients in the program had 7.5% higher rates of telehealth referral (P=0.01), 17.2% higher rates of advance directive completion (P<0.01), and 9.3% higher rates of personal health record registration (P=0.02). There was no effect on missed appointments or posthospital discharge visit rates. CONCLUSIONS: Augmenting a PCMH with intensive outpatient management may have positive effects on primary care processes related to continuity, access, coordination, and patient engagement.

How Veterans With Post-Traumatic Stress Disorder and Comorbid Health Conditions Utilize eHealth to Manage Their Health Care Needs: A Mixed-Methods Analysis.

BACKGROUND: Mental health conditions are prevalent among US veterans and pose a number of self-management and health care navigation challenges. Post-Traumatic Stress Disorder (PTSD) with comorbid chronic medical conditions (CMCs) is especially common, in both returning Iraq or Afghanistan and earlier war-era veterans. Patient-facing electronic health (eHealth) technology may offer innovative strategies to support these individuals' needs. OBJECTIVE: This study was designed to identify the types of eHealth tools that veterans with PTSD and comorbid CMCs use, understand how they currently use eHealth technology to self-manage their unique health care needs, and identify new eHealth resources that veterans feel would empower them to better manage their health care. METHODS: A total of 119 veterans with PTSD and at least one CMC who have used the electronic personal health record system of the US Department of Veterans Affairs (VA) responded to a mailed survey about their chronic conditions and preferences related to the use of technology. After the survey, 2 focus groups, stratified by sex, were conducted with a subgroup of patients to explore how veterans with PTSD and comorbid CMCs use eHealth technology to support their complex health care needs. Focus groups were transcribed verbatim and analyzed using standard content analysis methods for coding textual data, guided by the "Fit between Individual, Task, and Technology" framework. RESULTS: Survey respondents had a mean age of 64.0 (SD 12.0) years, 85.1% (97/114) were male, 72.4% (84/116) were white, and 63.1% (70/111) had an annual household income of < US $50,000. Mean score on a measure of eHealth literacy was 27.7 (SD 9.8). Of the respondents, 44.6% (50/112) used health-related technology 1 to 3 times per month and 21.4% (24/112) used technology less than once per month. Veterans reported using technology most often to search for health information (78.9%, 90/114), communicate with providers (71.1%, 81/114), and track medications (64.9%, 74/114). Five major themes emerged that describe how eHealth technology influences veterans with PTSD and comorbid CMCs: (1) interactions with social support, (2) condition management, (3) access to and communication with providers, (4) information access, and (5) coordination of care. CONCLUSIONS: The "Fit between Individual, Task, and Technology" model provided a useful framework to examine the clinical tasks that arose for veterans and their resourceful adoption of eHealth tools. This study suggests that veterans who use the Web are eager to incorporate eHealth technology into their care and self-management activities. Findings illustrate a number of ways in which the VA and eHealth technology developers can refine existing applications, develop new resources, and better promote tools that address challenges experienced by veterans with PTSD and comorbid CMCs.