Faculty Bibliography

BACKGROUND: Skilled nursing facilities (SNFs) are common destinations after hospitalization for patients with heart failure (HF). However, readmissions from SNFs and immediately after SNF discharge are common. In this study, we examined whether patients with a primary hospital discharge diagnosis of HF may benefit from a HF disease management program (HF-DMP) while undergoing post-acute rehabilitation in SNFs.
METHOD(S): This is a sub-group analysis of a cluster-randomized controlled trial of HF-DMP vs usual care (UC) for patients in SNF (n=671) with a HF diagnosis, regardless of ejection fraction (EF), conducted in 47 SNFs in the Denver-metropolitan area. The HF-DMP standardized SNF HF care using HF practice guidelines and performance measures and was delivered by a HF nurse advocate (HFNA). The HFNA directed a 7- component intervention focused on optimizing HF disease management through the following: documentation of EF, symptom and activity assessment, weights 3 times a week with dietary surveillance, recommendations for medication titration, patient/caregiver education, discharge instructions, and 7-day post- SNF discharge follow-up. This sub-group analysis examined patients discharged from hospital to SNF with a primary hospital discharge diagnosis of HF (n=125). The primary outcome was a composite of all-cause hospitalization, emergency department visits, and mortality at 60 days post-SNF admission. The etiology (HF related, non-HF cardiovascular (CV) related, or "other") of the first event was adjudicated by a Clinical Endpoints committee that was blinded to treatment group. Secondary outcomes were the composite outcome at 30 days, and change in health status and self-management from baseline to 60 days measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ) and the Self-care of HF Index (SCHFI).
RESULT(S): Of the 125 patients with a primary hospital discharge diagnosis of HF, 50were in the HF-DMP and 75 in UC. Overallmean age was 79+/-10, 53% were women, mean EF was 46+/-15%. At 60 days, the rate of the composite outcome was lower in the HF-DMP group (30%) compared to UC (52%) (p=0.02). Adjudicated events in the HF-DMP group revealed one HF related event, one CV related event, and 12 events classified as "other" within 60 days. In contrast, the UC group had 12 HF related events, 5 CV related events, and 19 events classified as "other" within 60 days. The rate of the composite outcome at 30 days for the HFDMP group was 18% versus 31% in the UC group (p=0.11). Change in KCCQ and SCHFI measures were not significantly different between groups at 60 days.
CONCLUSION(S): Patients with a primary hospital discharge diagnosis of HF who received HF-DMP while receiving rehabilitation in a SNF had lower rates of the composite outcome at 60 days and less HF related events. Standardized HF management during SNF stays may be particularly important for patients with a primary discharge diagnosis of HF

BACKGROUND:Headache mobile health (mHealth) applications (apps) have gained popularity in use but there is little research into what people with migraine find important to track. This information is important for helping with adherence and determining meaningful data to patients. We conducted several clinical trials using a headache research app (RELAXaHEAD). The app contains a "notes" feature (a free-text input section) where patients could record notes related to their headache. OBJECTIVE:To identify what patients view as important when tracking migraine/headaches within a headache tracking mHealth app. METHODS:This was a retrospective study where smartphone diary notes inputted by people with migraine were qualitatively analyzed; notes were extracted, a preliminary codebook was developed and used to code each note. Using grounded theory, themes and subthemes emerged. RESULTS:About 288 subjects in the trials used the notes function. There were 5364 total notes with an average of 18.6 ± 39.2 notes/user. The qualitative analysis yielded 759 unique codes and the emergence of 4 major themes. The first theme was "Utility in free-text tracking of headache characteristics, medications, and sleep" which emerged as a space for users to elaborate on data that could have been inputted into other sections of the app. The second theme was "Monitoring coexisting conditions both related to and distinct from headache." The third theme was "Personal records of behavioral therapy adherence," which included a range of concepts from behavioral therapy session frequency/adherence to subjects' thoughts or emotions regarding the behavioral therapy. The fourth theme was "Migraine trigger, prevention, and relief patterns deciphered through consistent data tracking." CONCLUSION/CONCLUSIONS:We found that the majority of patients choose to expand on information beyond what can be inputted into specific icons in a headache app. Moreover, they want to be able to monitor not only headache-related symptoms but symptoms they experience from other conditions. In addition to tracking their pharmacologic treatment, they may choose to track their nonpharmacologic, that is, behavioral therapy use, and they also use a smartphone diary app to assess what triggers versus relieves a migraine. While the RELAXaHEAD app was designed with features to extract data that would be useful to physicians and patients in treating migraine, our study results indicated that users also prefer a range of tracking capabilities that may or may not be useful to physicians but may be important for headache smartphone user engagement.

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.

OBJECTIVE:To characterize the population of subfertile and infertile men in the United States who lack access to infertility services. DESIGN/METHODS:Analysis of the 2011-2013, 2013-2015, and 2015-2017 waves of the National Survey for Family Growth (NSFG) dataset. SETTING/METHODS:Not applicable. PATIENT(S)/METHODS:Noninstitutionalized civilian men, ages 15-45 years, who were married or lived with a woman and had not undergone a vasectomy. INTERVENTION/METHODS:Not applicable. MAIN OUTCOME MEASURE(S)/METHODS:Access to infertility services. RESULT(S)/RESULTS:Compared with people who had used infertility services, unevaluated men who self-reported as infertile or subfertile were younger, had lower household incomes, were less educated, and were less likely to be married. Unevaluated infertile men were less likely to have a regular place where they received health care, were more likely to be uninsured, and had a poorer perception of their personal health. On multivariable logistic regression analysis, average household income, marital status, education level, and current insurance status remained significant. CONCLUSION(S)/CONCLUSIONS:Infertile men who had not used infertility services were less educated, were less likely to have been married, and had a lower household income and private insurance rate compared with men who had used infertility services. These demographic and health care utilization differences can help inform public policy related to fertility.

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.

A hallmark of severe COVID-19 is coagulopathy, with 71.4% of patients who die of COVID-19 meeting ISTH criteria for disseminated intravascular coagulation (DIC) while only 0.6% of patients who survive meet these criteria (1). Additionally, it has become clear that this is not a bleeding diathesis but rather a predominantly pro-thrombotic DIC with high venous thromboembolism rates, elevated D-dimer levels, high fibrinogen levels in concert with low anti-thrombin levels, and pulmonary congestion with microvascular thrombosis and occlusion on pathology in addition to mounting experience with high rates of central line thrombosis and vascular occlusive events (e.g. ischemic limbs, strokes, etc.) observed by those who care for critically ill COVID-19 patients (1-7). There is evidence in both animals and humans that fibrinolytic therapy in Acute Lung Injury and ARDS improves survival, which also points to fibrin deposition in the pulmonary microvasculature as a contributory cause of ARDS and would be expected to be seen in patients with ARDS and concomitant diagnoses of DIC on their laboratory values such as what is observed in more than 70% of those who die of COVID-19 (8-10).

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.

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: Patient Portals(PP) allow access to medical records and interaction with providers; however activation(PPA) and use (PPU) are limited by language barriers, low health/computer literacy, and poor internet access which are prevalent issues in Federally Qualified Health Centers(FQHC). Little is known of the drivers and patterns of PPA in such settings. We aimed to describe the prevalence of PPA and PPU in adult patients of an FQHC; describe PPU activity, and test demographic, condition, and utilization-related correlates of PPA and PPU.
METHOD(S):We conducted a retrospective chart review in an FQHC that launched a PP in September 2016. We extracted demographics, PPA status(active/not) at data pull, PPU activities, presence of a chronic condition on the problem list, # emergency department, inpatient, subspecialty visits over past year (utilization summed, dichotomized >1 vs. 0-1 visit). Missing values for homelessness were coded to majority category( 0). Analyses included descriptive statistics, bivariate analyses, then logistic regression to test odds of PPA and PPU by. demographics, chronic conditions, and utilization. We report [adjusted odds ratios(confidence interval)].
RESULT(S): Data were analyzed for 62,610 adults [mean age 45(SD 17), 21% Black, 47% Hispanic, 46% Medicaid, 25% Selfpay, speaking English( 60%), Spanish (31%), Chinese(6%), Other(3%), with: hypertension( 19%), diabetes(11%), depression(8%), asthma(6%), CVD(5%); 21% had utilization>1. Overall 23,104(37%) activated the PP. PPU included viewing test results(69%), medications(62% ), immunizations( 51%), billing (38%), asking advice (29%), and scheduling appointments( 16%). PPA and PPU varied by demographics, chronic condition, and utilization, but were consistently higher for females, those who were not Medicaid recipients or Self-pay, English speakers and those with asthma, hypertension, and depression.
CONCLUSION(S): PPA was lower for non-whites and poorer patients, but higher for patients speaking the predominant languages of this FQHC, suggesting that language concordance helps engage patients. Patients with chronic conditions and more healthcare utilization had greater odds of PPA and PPU. On the other hand, Spanish-speakers were less likely to actively use the portal for functions such as scheduling appointments, suggesting that improvements in language capabilities of the platform are needed

OBJECTIVE:To determine the representation of Black/AA women surgeons in academic medicine among U.S. medical school faculty and to assess the number of NIH grants awarded to Black/AA women surgeon-scientists over the past 2 decades. SUMMARY OF BACKGROUND DATA/BACKGROUND:Despite increasing ethnic/racial and sex diversity in U.S. medical schools and residencies, Black/AA women have historically been underrepresented in academic surgery. METHODS:A retrospective review of the Association of American Medical Colleges 2017 Faculty Roster was performed and the number of grants awarded to surgeons from the NIH (1998-2017) was obtained. Data from the Association of American Medical Colleges included the total number of medical school surgery faculty, academic rank, tenure status, and department Chair roles. Descriptive statistics were performed. RESULTS:Of the 15,671 U.S. medical school surgical faculty, 123 (0.79%) were Black/AA women surgeons with only 11 (0.54%) being tenured faculty. When stratified by academic rank, 15 (12%) Black/AA women surgeons were instructors, 73 (59%) were assistant professors, 19 (15%) were associate professors, and 10 (8%) were full professors of surgery. Of the 372 U.S. department Chairs of surgery, none were Black/AA women. Of the 9139 NIH grants awarded to academic surgeons from 1998 and 2017, 31 (0.34%) grants were awarded to fewer than 12 Black/AA women surgeons. CONCLUSION/CONCLUSIONS:A significant disparity in the number of Black/AA women in academic surgery exists with few attaining promotion to the rank of professor with tenure and none ascending to the role of department Chair of surgery. Identifying and removing structural barriers to promotion, NIH grant funding, and academic advancement of Black/AA women as leaders and surgeon-scientists is needed.