Faculty Bibliography

OBJECTIVES/OBJECTIVE:To perform a systematic review on apparent diffusion coefficient (ADC) values of renal tumor subtypes and meta-analysis on the diagnostic performance of ADC for differentiation of localized clear cell renal cell carcinoma (ccRCC) from other renal tumor types. METHODS:Medline, Embase, and the Cochrane Library databases were searched for studies published until May 1, 2019, that reported ADC values of renal tumors. Methodological quality was evaluated. For the meta-analysis on diagnostic test accuracy of ADC for differentiation of ccRCC from other renal lesions, we applied a bivariate random-effects model and compared two subgroups of ADC measurement with vs. without cystic and necrotic areas. RESULTS:We included 48 studies (2588 lesions) in the systematic review and 13 studies (1126 lesions) in the meta-analysis. There was no significant difference in ADC of renal parenchyma using b values of 0-800 vs. 0-1000 (p = 0.08). ADC measured on selected portions (sADC) excluding cystic and necrotic areas differed significantly from whole-lesion ADC (wADC) (p = 0.002). Compared to ccRCC, minimal-fat angiomyolipoma, papillary RCC, and chromophobe RCC showed significantly lower sADC while oncocytoma exhibited higher sADC. Summary estimates of sensitivity and specificity to differentiate ccRCC from other tumors were 80% (95% CI, 0.76-0.88) and 78% (95% CI, 0.64-0.89), respectively, for sADC and 77% (95% CI, 0.59-0.90) and 77% (95% CI, 0.69-0.86) for wADC. sADC offered a higher area under the receiver operating characteristic curve than wADC (0.852 vs. 0.785, p = 0.02). CONCLUSIONS:ADC values of kidney tumors that exclude cystic or necrotic areas more accurately differentiate ccRCC from other renal tumor types than whole-lesion ADC values. KEY POINTS/CONCLUSIONS:• Selective ADC of renal tumors, excluding cystic and necrotic areas, provides better discriminatory ability than whole-lesion ADC to differentiate clear cell RCC from other renal lesions, with area under the receiver operating characteristic curve (AUC) of 0.852 vs. 0.785, respectively (p = 0.02). • Selective ADC of renal masses provides moderate sensitivity and specificity of 80% and 78%, respectively, for differentiation of clear cell renal cell carcinoma (RCC) from papillary RCC, chromophobe RCC, oncocytoma, and minimal-fat angiomyolipoma. • Selective ADC excluding cystic and necrotic areas are preferable to whole-lesion ADC as an additional tool to multiphasic MRI to differentiate clear cell RCC from other renal lesions whether the highest b value is 800 or 1000.

BACKGROUND: Payors are increasingly recognizing that social determinants of health(SDH) impact on health outcomes and healthcare costs. Z codes can be used to document and stratify patients into risk pools according to SDH. We report on the impact of SDH screening implementation in a federally qualified health center network on the use of Z codes to document SDH. In this study, we describe the prevalence of SDH screening by department, the prevalence of documented SDH, and the prevalence of documented Z codes for each SDH.
METHOD(S): In October 2017, we initiated SDH screening throughout, but focusing on the internal medicine and women's health departments of a large FQHC network (12 service delivery sites) using the OCHIN tool embedded in the elecrtonic health record. In November 2019, we retrieved the following variables from record: % of all patients who were screened, number of patients screened annually by department, % of positive screens (+ response to any question), % abnormal screens(response that triggers a best practice alert to the treating provider), and documentation of a Z code for positive or abnormal screens.
RESULT(S): There were 624,007 encounters over a 2 year study period; 2,844 patients were screened: 194 in 2017, 1068 in 2018;1644 in 2019. Overall, there were 3052 screening events (some patients received multiple screens). The majority of screening events occurred in women's health [1961(64%)], followed by adult medicine[874(29%)]. Overall, 2350(77%) of screens were "positive", of which 433 had no "abnormal" results and hence did not trigger a best practice alert. Of these 433, the most common positive items were: social isolation(63%), stress(44%), financial resource strain(8%), moved 2+ times(7%). There were 1923(63%) abnormal screens. The top 10 abnormal items in Women's Health and Adult Medicine were: Education less than high school(36% and 37%), physical activity <140 minutes(23% and 25%), hard to pay for medicine/medical care(13% and 26%), hard to pay for utilities(14% and 23%), hard to pay for food(13% and 21%), hard to pay for health insurance(11% and 22%), concerns about housing quality(3% and 9%), hard to pay child care(5% and 5%), exposure to violence(4% and 3%), never get together with family/friends(3% and 3%). Overall, encounters with an SDH screen were more likely to have a documented Z code:26% vs. 1%. Z codes were documented for the following documented needs: insufficient social insurance(53%); lack of access to health care(51%), homelessness(49%), inadequate family support(40%), lack of physical exercise(37%), underachievement in school(34%), personal history of abuse(31%), lack of assistance for care at home(29%), inadequate food supply(1%).
CONCLUSION(S): Presence of a documented SDH screen was associated with documentation of Z codes, however documentation was missing more than half the time for most documented needs. The drivers of Z code documentation deserve further exploration. Qualitative interviews and focus groups with providers may be useful

Quality Improvement Success Stories are published by the American Diabetes Association in collaboration with the American College of Physicians, Inc., and the National Diabetes Education Program. This series is intended to highlight best practices and strategies from programs and clinics that have successfully improved the quality of care for people with diabetes or related conditions. Each article in the series is reviewed and follows a standard format developed by the editors of Clinical Diabetes. The following article describes the establishment of a Diabetes Prevention Clinic for veterans with prediabetes.

Many health care providers and systems are developing and implementing processes to screen patients for social determinants of health and to refer patients to appropriate nonclinical and community-based resources. The largest public health care system in the United States, New York City Health + Hospitals, piloted such a program in 2017. A qualitative evaluation yielded insights into the implementation and feasibility of such screening and referral programs in health care systems serving low-income, minority, immigrant, and underserved populations.

OBJECTIVES/OBJECTIVE:To compare both the concordance between the 4Kscore® and SelectMDx® for informing decision to perform prostate biopsy (PB) and the performance of these tests for detecting clinically significant prostate cancer (csPCa). Several biomarkers were developed to inform decisions whether to perform a PB based on the probability of detecting csPCa. There is a paucity of studies directly comparing them METHODS: Between 11/2018 and 4/2019, all new referrals with the diagnosis of elevated PSA were advised to undergo 4Kscore® and SelectMDx® in order to guide the selection of candidates for PB. Men were advised to undergo PB if the reported biomarker risk for detecting csPCA was ≥7.5%, or if they presented a PI-RADS ≥1 MRI. Cohen's Kappa was used to assess the concordance between the binary 4Kscore® and SelectMDx® results using externally validated cutoffs of 7.5% and 12%. Receiver operating characteristics curve and area under the curve (AUC) assessed the performance of each biomarker for predicting csPCa. RESULTS:Of 128 consecutive patients referred, 114 (89.1%) underwent 4Kscore® and SelectMDx®, The kappa coefficient between the biomarkers using the 7.5% cutoff was 0.184 (poor concordance) and 0.22 using the 12% cutoff. The two biomarkers yielded discordant guidance whether to proceed with PB in 46% and 38% of cases, respectively. csPCa was found in 22 of the 50 patients who underwent PB (44%). The AUC for 4Kscore® and SelectMDx® was 0.830 (95%CI: 0.710 - 0.949) and 0.672 (95%CI: 0.517 - 0.828) (p=0.036), respectively. CONCLUSION/CONCLUSIONS:The discordance observed between the 4Kscore® and SelectMDx® is disconcerting. The 4Kscore® when combined with MRI was superior to the SelectMDx® for detecting csPCa. Prospective comparative studies must be performed to optimize implementation of biomarkers for selecting candidates for PB.

Sixteen million caregivers currently provide care to more than 5 million persons living with dementia (PLWD) in the United States. Although this population is growing and highly complex, evidence-based management remains poorly integrated within healthcare systems. Therefore, the National Institute on Aging IMPACT Collaboratory was formed to build the nation's ability to conduct embedded pragmatic clinical trials (ePCTs) for PLWD and their caregivers. The pilot core of the IMPACT Collaboratory seeks to provide funds for upward of 40 pilots for ePCTs to accelerate the testing of nonpharmacologic interventions with the goal that these pilots lead to full-scale ePCTs and eventually the embedding of evidence-based care into healthcare systems. The first two challenges for the pilot core in building the pilot study program were (1) to develop a transparent, ethical, and open nationwide process for soliciting, reviewing, and selecting pilot studies; and (2) to begin the process of describing the necessary components of a pilot study for an ePCT. During our initial funding cycle, we received 35 letters of intent, of which 17 were accepted for a full proposal and 14 were submitted. From this process we learned that investigators lack knowledge in ePCTs, many interventions lack readiness for an ePCT pilot study, and many proposed studies lack key pragmatic design elements. We therefore have set three key criteria that future pilot studies must meet at a minimum to be considered viable. We additionally discuss key design decisions investigators should consider in designing a pilot study for an ePCT. J Am Geriatr Soc 68:S14-S20, 2020.

Air pollution is a major contributor to cardiovascular morbidity and mortality. Fine particulate matter <2.5 µm in diameter may be a modifiable risk factor for hypertension. The benefits of in-home air filtration on systolic blood pressure (BP) and diastolic BP are unclear. To examine the effects of in-home personal air cleaner use on fine particulate exposure and BP, we queried PubMed, Web of Science, Cochrane Central Register, Inspec, and EBSCO GreenFILE databases for relevant clinical trials. Included studies were limited to nonsmoking participants in smoke-free homes with active or sham filtration on indoor fine particulate concentrations and changes in systolic and diastolic BP. Of 330 articles identified, 10 trials enrolling 604 participants who met inclusion criteria were considered. Over a median 13.5 days, there was a significant reduction of mean systolic BP by ≈4 mm Hg (-3.94 mm Hg [95% CI, -7.00 to -0.89]; P=0.01) but a nonsignificant difference in mean diastolic BP (-0.95 mm Hg [95% CI, -2.81 to 0.91]; P=0.32). Subgroup analyses indicated no heterogeneity of effect by age, level of particulate exposure, or study duration. Given the variation in study design, additional study is warranted to confirm and better quantify the observed benefits in systolic BP found with personal air cleaner use.

BACKGROUND: Moral distress is defined as a situation in which an individual believes they know the ethically appropriate action to take but are unable to take that action. The concept ofmoral distress is increasingly recognized as an important mediator of occupational stress and burnout in healthcare, particularly in the nursing literature. However, there is a dearth of literature focusing on moral distress among physician trainees, particularly as regards the clinical training environment. This study explores the phenomenon of moral distress among internal medicine trainees, with an emphasis on the contexts of clinical training and professional role development.
METHOD(S): We report qualitative data from a mixed methods prospective observational cohort study of internal medicine (IM) residents and associated faculty at a large, urban, academic medical institution. Five focus groups were conducted with 15 internal medicine residents (PGY1- 3), between January and October 2019. In each focus group trained facilitators conducted semi-structured interviews using prompts which focused on definitions of, experiences with, and consequences of moral distress. Transcripts were independently coded by investigators, and analyzed by major themes and sub-themes. Discrepant themes and codes were reviewed by the full research team to establish clarity and consensus. Data were analyzed using Dedoose software.
RESULT(S): Focus group participants were equally distributed by gender (7 women, 8 men) and across training year (30% PGY1, 20% PGY2 40% PGY3). Experience with moral distress was universal among participants. Trainees identified several drivers of moral distress that were unique to their professional development as clinicians and their role as trainees/ learners within clinical teams, including: feelings of inadequacy in clinical or procedural skills, being asked to performduties outside of their scope of practice, discomfort with the idea of 'practicing' skills on patients, poor team communication, disagreements with senior team members, experiences of disempowerment as junior team members, and overwhelming or inappropriate administrative or non-clinical burdens. Participants also identified unique, place-based moral distress across different clinical environments, including intensive care units, wards, and outpatient environments, aswell as between private, public, and government-run hospital facilities.
CONCLUSION(S): Physician trainees experience considerable moral distress in the context of their professional development, with unique drivers of moral distress identified in the training and clinical team context. This improved understanding of factors unique to the trainees' experience has implications for tailoring educational experiences as professional development activities, as well as potential wellness- and resilience-building among physician trainees. It may also inform the training of physician leaders and seniors clinicians who engage with trainees in learning and clinical environments