Computing the Cost of Care per Patient per Day for Patients With Metastatic Neuroendocrine Neoplasms.

PURPOSE: Patients with well-differentiated, low-grade metastatic neuroendocrine neoplasms (NENs) usually have a long median survival and require complex, expensive care over many years at multidisciplinary centers. The cost burden for patients and institutions serves as a barrier to care. Understanding the drivers of these costs and whether intense monitoring adds value will help to optimize value-based care. METHODS: We adapted the cost of care per patient per day (CCPD) validated methodology to measure cost while accounting for varying follow-up duration. We queried the Stanford NEN Database, which aggregates data from the electronic health record and other electronic sources, to study patients with metastatic NENs receiving regular care at Stanford. Current Procedural Terminology codes for services incurred during the monitoring period for each patient were mapped to the corresponding cost conversion factor and date in the Medicare fee schedule. RESULTS: Two hundred two patients between 2010 and 2017 were studied with a mean CCPD of $119.11 in US dollars (USD); NEN-specific systemic therapy made up 55% of this cost. Somatostatin analogs were the costliest systemic therapy. Systemic therapy was the driver of cost differences among patients with various primary tumor types, stage of disease, tumor differentiation and grade, and functional hormone status. Patients in the most expensive CCPD group did not have a significant survival benefit (P = .66). CONCLUSION: The CCPD methodology was effective in studying cancer care value in NENs. Systemic therapy, specifically somatostatin analogs, was the primary driver of cost, and intense monitoring and higher-cost care did not improve survival outcomes.

Changes in leukocyte telomere length among children with obesity participating in a behavioural weight control program.

OBJECTIVE: To examine changes in leukocyte telomere length (LTL) during and after a behavioural weight control program for children with obesity. METHODS: We measured LTL among a cohort of 158 children 8-12 years of age with a body mass index greater than or equal to the 95th percentile for age and sex. Children were 55% female, 29% white, 52% Latinx, 8% Asian and 11% Pacific Islander, other or multiethnic. All children participated in a 6-month, family-based, group behavioural weight control program and were assessed before treatment, after treatment and 1 year after the end of treatment. To test the sample population slope of LTL over the intervention and maintenance time periods, we fit spline mixed-effect regression models. RESULTS: LTL increased an average of 0.09 T/S units per year (95% confidence interval [CI] 0.04 to 0.13; p = 0.0001) during the weight control program intervention period, followed by an average decline of -0.05 T/S units per year (95% CI -0.08 to -0.03; p < 0.0001) during the 1 year of follow-up after the completion of the intervention. Among 26 social, psychological, behavioural and physiological factors we examined, we did not find any predictors of these changes. CONCLUSIONS: LTL increased in response to a behavioural weight control program among children with obesity, suggesting an impact on biological health and cellular aging from participation in a behavioural weight control intervention. LTL may be a useful biomarker for assessing changes in response to behavioural interventions.

Performance of a Provider-Assigned Functional Outcome Score in Critically Ill Children.

OBJECTIVES: Determine agreement between Pediatric Cerebral Performance Category (PCPC) scores integrated into clinical workflow and traditional investigator-assigned scores. DESIGN: Longitudinal study. SETTING: A single-center quaternary-care academic institution. SUBJECTS: Children admitted to the PICU between November 2019 and April 2020. INTERVENTIONS: Providers assigned PCPC scores as part of daily workflow. Investigators assigned scores using retrospective chart review. MEASUREMENTS AND MAIN RESULTS: Of 803 patients admitted to the PICU, 782 survived and were included. Admission and discharge scores were recorded in 95% and 90% of patients, respectively. Agreement between provider- and investigator-assigned scores was excellent, with a weighted kappa of 0.87 (95% CI, 0.84-0.90) and 0.80 (95% CI, 0.76-0.84) for admission and discharge. CONCLUSIONS: Provider-assigned PCPC scores, documented as standard of care, are largely concordant with retrospective investigator-assigned scores. Measurement of cognitive functional status can be successfully integrated into daily provider workflow for use in the clinical, quality improvement, and research arenas.

Needles in a Haystack: Finding Qualitative and Quantitative Collaborators in Academic Medical Centers.

Translational research is a data-driven process that involves transforming scientific laboratory- and clinic-based discoveries into products and activities with real-world impact to improve individual and population health. Successful execution of translational research requires collaboration between clinical and translational science researchers, who have expertise in a wide variety of domains across the field of medicine, and qualitative and quantitative scientists, who have specialized methodologic expertise across diverse methodologic domains. While many institutions are working to build networks of these specialists, a formalized process is needed to help researchers navigate the network to find the best match and to track the navigation process to evaluate an institution's unmet collaborative needs. In 2018, a novel analytic resource navigation process was developed at Duke University to connect potential collaborators, leverage resources, and foster a community of researchers and scientists. This analytic resource navigation process can be readily adopted by other academic medical centers. The process relies on navigators with broad qualitative and quantitative methodologic knowledge, strong communication and leadership skills, and extensive collaborative experience. The essential elements of the analytic resource navigation process are as follows: (1) strong institutional knowledge of methodologic expertise and access to analytic resources, (2) deep understanding of research needs and methodologic expertise, (3) education of researchers on the role of qualitative and quantitative scientists in the research project, and (4) ongoing evaluation of the analytic resource navigation process to inform improvements. Navigators help researchers determine the type of expertise needed, search the institution to find potential collaborators with that expertise, and document the process to evaluate unmet needs. Although the navigation process can create a basis for an effective solution, some challenges remain, such as having resources to train navigators, comprehensively identifying all potential collaborators, and keeping updated information about resources as methodologists join and leave the institution.

Effect of a Community Health Worker Intervention on Acute Care Use, Advance Care Planning, and Patient-Reported Outcomes Among Adults With Advanced Stages of Cancer: A Randomized Clinical Trial.

Importance: Deficiencies in advance care planning and symptom management are associated with avoidable acute care use among patients with cancer. Community health worker (CHW)-led approaches may be an approach to reduce acute care use but remain untested in community settings. Objective: To determine whether a CHW-led advance care planning and symptom screening intervention can reduce acute care use more than usual care in a community setting. Design, Setting, and Participants: This randomized clinical trial was conducted among patients with newly diagnosed advanced-stage or recurrent solid and hematologic cancers from August 8, 2017, through November 30, 2021. Data analysis was performed November 30, 2021, through January 1, 2022, by intention to treat. Interventions: Participants were randomized 1:1 to usual care (control group) or usual care with the 6-month CHW-led intervention (intervention group). Main Outcomes and Measures: The primary outcome was acute care use. Secondary outcomes included advance care planning documentation, supportive care use, patient-reported outcomes, survival, and end-of-life care use. Results: Among 128 participants, median (range) age was 67 (19-89) years; 61 (47.7%) were female; and 2 (1.6%) were American Indian or Alaska Native, 11 (8.6%) were Asian, 5 (3.9%) were Black, 23 (18.0%) were Hispanic or Latino, 2 (1.6%) were of mixed race, 2 (1.6%) were Native Hawaiian or other Pacific Islander, 86 (67.2%) were White, and 20 (15.6%) did not report race. Intervention participants had 62% lower risk of acute care use than the control (hazard ratio, 0.38; 95% CI, 0.19-0.76) within 6 months. At 12 months, intervention participants had 17% lower odds of acute care use (odds ratio [OR], 0.83; 95% CI, 0.69-0.98), 8 times the odds of advance care planning documentation (OR, 7.18; 95% CI, 2.85-18.13), 4 times the odds of palliative care (OR, 4.46; 95% CI, 1.88-10.55), nearly double the odds of hospice (OR, 1.83; 95% CI, 1.16-2.88), and nearly double the odds of improved mental and emotional health from enrollment to 6 and 12 months postenrollment (OR, 1.82; 95% CI, 1.03-3.28; and OR, 2.20; 95% CI, 1.04-4.65, respectively) than the control. There were no differences in the death (control, 26 [40.6%] vs intervention, 32 [50.0%]). Fewer intervention participants had acute care use (0 vs 6 [23.1%]) in the month before death than the control. Conclusions and Relevance: In this randomized clinical trial, integration of a CHW-led intervention into cancer care reduced acute care use and is one approach to improve cancer care delivery for patients with advanced stages of disease in community settings. Trial Registration: ClinicalTrials.gov Identifier: NCT03154190.

COVIDNearTerm: A simple method to forecast COVID-19 hospitalizations.

Introduction: COVID-19 has caused tremendous death and suffering since it first emerged in 2019. Soon after its emergence, models were developed to help predict the course of various disease metrics, and these models have been relied upon to help guide public health policy. Methods: Here we present a method called COVIDNearTerm to "forecast" hospitalizations in the short term, two to four weeks from the time of prediction. COVIDNearTerm is based on an autoregressive model and utilizes a parametric bootstrap approach to make predictions. It is easy to use as it requires only previous hospitalization data, and there is an open-source R package that implements the algorithm. We evaluated COVIDNearTerm on San Francisco Bay Area hospitalizations and compared it to models from the California COVID Assessment Tool (CalCAT). Results: We found that COVIDNearTerm predictions were more accurate than the CalCAT ensemble predictions for all comparisons and any CalCAT component for a majority of comparisons. For instance, at the county level our 14-day hospitalization median absolute percentage errors ranged from 16 to 36%. For those same comparisons, the CalCAT ensemble errors were between 30 and 59%. Conclusion: COVIDNearTerm is a simple and useful tool for predicting near-term COVID-19 hospitalizations.

Cardiovascular and Cerebrovascular Disease Mortality in Asian American Subgroups.

BACKGROUND: Asian American individuals comprise the fastest-growing race and ethnic group in the United States. Certain subgroups may be at disproportionately high cardiovascular risk. This analysis aimed to identify cardiovascular and cerebrovascular disease mortality trends in Asian American subgroups. METHODS: Age-standardized mortality rates (ASMR), average annual percent change of ASMR calculated by regression, and proportional mortality ratios of ischemic heart disease, heart failure, and cerebrovascular disease were calculated by sex in non-Hispanic Asian American subgroups (Chinese, Filipino, Asian Indian, Japanese, Korean, and Vietnamese), non-Hispanic White, and Hispanic individuals from US death certificates, 2003 to 2017. RESULTS: Among 618 004 non-Hispanic Asian American, 30 267 178 non-Hispanic White, and 2 292 257 Hispanic deaths from all causes, ASMR from ischemic heart disease significantly decreased in all subgroups of Asian American women and in non-Hispanic White and Hispanic women; significantly decreased in Chinese, Filipino, Japanese, and Korean men and non-Hispanic White and Hispanic men and remained stagnant in Asian Indian and Vietnamese men. The highest 2017 ASMR from ischemic heart disease among Asian American decedents was in Asian Indian women (77 per 100 000) and men (133 per 100 000). Heart failure ASMR remained stagnant in Chinese, Korean, and non-Hispanic White women, and Chinese and Vietnamese men. Heart failure ASMR significantly increased in both sexes in Filipino, Asian Indian, and Japanese individuals, Vietnamese women, and Korean men, with highest 2017 ASMR among Asian American subgroups in Asian Indian women (14 per 100 000) and Asian Indian men (15 per 100 000). Cerebrovascular disease ASMR decreased in Chinese, Filipino, and Japanese women and men between 2003 and 2017, and remained stagnant in Asian Indian, Korean, and Vietnamese women and men. The highest cerebrovascular disease ASMR among Asian American subgroups in 2017 was in Vietnamese women (46 per 100 000) and men (47 per 100 000). CONCLUSIONS: There was heterogeneity in cardiovascular and cerebrovascular mortality among Asian American subgroups, with stagnant or increasing mortality trends in several subgroups between 2003 and 2017.

Clinical Outcomes of Treated and Untreated C. difficile PCR-Positive/Toxin-Negative Adult Hospitalized Patients: a Quasi-Experimental Noninferiority Study.

Clostridioides difficile infection (CDI) is routinely diagnosed by PCR, with or without toxin enzyme immunoassay testing. The role of therapy for positive PCR and negative toxin remains unclear. The objective of this study was to determine whether clinical outcomes of PCR+/cycle threshold-based toxin (CT-toxin)- individuals vary by result reporting and treatment strategy. We performed a quasiexperimental noninferiority study comparing clinical outcomes of PCR+/CT-toxin- individuals by reporting PCR result only (most patients treated) with reporting CT-toxin result only (most patients untreated) in a single-center, tertiary academic hospital. The primary outcome was symptomatic PCR+/CT-toxin+ conversion at 8 weeks. Secondary outcomes included 7-day diarrhea resolution, hospital length of stay, and 30-day all-cause mortality. A total of 663 PCR+/CT-toxin- test results were analyzed from 632 individuals with a median age of 61 years (interquartile range [IQR], 44 to 72) and 50.4% immunocompromised. Individuals in the preintervention group were more likely to have received CDI therapy than those in the intervention group (91.5 versus 15.1%; P < 0.001). Symptomatic toxin conversion at 8 weeks and hospital length of stay failed to establish the predefined thresholds for noninferiority. Lack of diarrhea resolution at 7 days and 30-day all-cause mortality was similar and established noninferiority (20.0 versus 13.7%; adjusted odds ratio [aOR], 0.57; 90% confidence interval [CI], 0.32 to 1.01; P = 0.1; and 8.6 versus 6.5%; aOR, 0.46; 90% CI, 0.20 to 1.04; P = 0.12). These data support the safety of withholding antibiotics for selected hospitalized individuals with suspected CDI but negative toxin.

Clinical laboratory tests associated with survival in patients with metastatic renal cell carcinoma: A Laboratory Wide Association Study (LWAS).

BACKGROUND: Prognostic models for patients with metastatic renal cell carcinoma (mRCC) include select laboratory values. These models have important limitations, including reliance on a limited array of laboratory tests, and use of dichotomous ("high-low") cutoffs. We applied a Laboratory-Wide Association Study (LWAS) framework to systematically evaluate common clinical laboratory results associated with survival for patients diagnosed with mRCC. METHODS: We used laboratory data for 3,385 patients diagnosed with mRCC from 2002 to 2017. We developed a LWAS framework, to examine the association with 53 common clinical laboratory tests results (641,712 measurements) and overall survival. We employed false-discovery rate to test the association of multiple laboratory tests with survival, and validated these results using 3 separate cohorts to generate a standardized hazard ratio (sHR), reported for a 1 standard deviation unit change in each laboratory test. RESULTS: The LWAS approach confirmed the association of laboratory values currently used in prognostic models with survival, including calcium (HR 1.35, 95%CI 1.24-1.48), leukocyte count (HR 1.40, 95%CI 1.30-1.51), platelet count (HR 1.36, 95%CI 1.27-1.51), and hemoglobin (HR 0.79, 95%CI 0.72-0.86). Use of these tests as continuous variables improved model performance. LWAS also identified acute phase reactants associated with survival not typically included in prognostic models, including serum albumin (HR 0.66, 95%CI 0.61-0.72), ferritin (HR 1.25, 95%CI 1.08-1.45), alkaline phosphatase (HR 1.31, 95%CI 1.23-1.40), and C-reactive protein (HR 1.70, 95%CI 1.14-2.53). CONCLUSIONS: Routinely measured laboratory tests can refine current prognostic models, facilitate comparisons across clinical trial cohorts, and match patients with specific systemic therapies.

Small Intestinal Bacterial Overgrowth in Children: Clinical Features and Treatment Response.

To characterize the population of children diagnosed with small intestinal bacterial overgrowth (SIBO) based on breath test (BT), correlate symptomatology, and describe SIBO treatments and treatment efficacy. Methods: A retrospective cohort study of pediatric patients seen at Stanford Children's Health Gastroenterology Clinics from 2012 to 2018 who had a positive BT, defined by a rise in hydrogen by ≥20 ppm, a baseline hydrogen level ≥20 ppm, or a methane value ≥10 ppm. The main outcome was symptom resolution, defined as complete or partial improvement after a course of treatment. Absolute standardized differences and Chi-square tests were used to assess associations. Results: From 98 children, 54 met inclusion and did not meet exclusion criteria (53.7% female). Lactulose substrate was used for 41 (75.9%) patients, whereas glucose was used for 13 (24.1%). Complete or partial resolution of symptoms was achieved in 13 of 16 (81.2%) patients who received probiotics with or without antibiotics versus 21 of 31 (67.7%) patients treated with antibiotics alone (P = 0.524). Metronidazole versus rifaximin versus other antibiotics showed no significant difference in symptom resolution (12 (63.2%), 13 (76.5%), 7 (77.8%), respectively, P = 0.601). Conclusion: Seventy-two percent of patients experienced at least partial symptom relief after treatment. We did not find a strong correlation between specific symptoms and analyte elevation. There was no difference in effectiveness between metronidazole and rifaximin to treat SIBO symptoms. Further research needs to be done to determine effective treatments for SIBO in pediatrics.

Parent Preferences for Transparency of Their Child's Hospitalization Costs.

Importance: Health care in the US is often expensive for families; however, there is little transparency in the cost of medical services. The extent to which parents want cost transparency in their children's care is not well characterized. Objective: To explore the preferences and experiences of parents of hospitalized children regarding the discussion and consideration of health care costs in the inpatient care of their children. Design, Setting, and Participants: This cross-sectional multicenter survey study included 6 geographically diverse university-affiliated US children's hospitals from November 3, 2017, to November 8, 2018. Participants included a convenience sample of English- and Spanish-speaking parents of hospitalized children nearing hospital discharge. Data were analyzed from January 1, 2020, to June 25, 2021. Main Outcomes and Measures: Parents' preferences and experiences regarding transparency of their child's health care costs. Multivariable linear regression examined associations between clinical and sociodemographic variables with parents' preferences for knowing, discussing, and considering costs in the clinical setting. Factors included family financial difficulties, child's level of chronic disease, insurance payer, deductible, family poverty level, race, ethnicity, parental educational level, and study site. Results: Of 644 invited participants, 526 (82%) were enrolled (290 [55%] male), of whom 362 (69%) were White individuals, 400 (76%) were non-Hispanic/Latino individuals, and 274 (52%) had children with private insurance. Overall, 397 families (75%) wanted to discuss their child's medical costs, but only 36 (7%) reported having a cost conversation. If cost discussions were to occur, 294 families (56%) would prefer to speak to a financial counselor. Ninety-eight families (19%) worried discussing costs would hurt the quality of their child's care. Families with a medical financial burden unrelated to their hospitalized child had higher mean agreement that their child's physician should consider the family's costs in medical decision-making than families without a medical financial burden (effect size, 0.55 [95% CI, 0.18-0.92]). No variables were consistently associated with cost transparency preferences. Conclusions and Relevance: Most parents want to discuss their child's costs during an acute hospitalization. Discussions of health care costs may be an important, relatively unexplored component of family-centered care. However, these discussions rarely occur, indicating a tremendous opportunity to engage and support families in this issue.

The impact of estradiol on pregnancy outcomes in letrozole-stimulated frozen embryo transfer cycles.

OBJECTIVE: To assess the impact of low estradiol (E2) levels in letrozole-stimulated frozen embryo transfer (FET) cycles on pregnancy and neonatal outcomes. DESIGN: Retrospective cohort. SETTING: University-affiliated fertility center. PATIENTS: All patients who underwent letrozole-stimulated FET cycles from January 2017 to April 2020 (n = 217). The "Low E2" group was defined as those with E2 serum levels on the day of trigger <10th percentile level (E2 <91.16 pg/mL, n = 22) and the "Normal E2" group was defined as those with E2 serum levels ≥10th percentile level (E2 ≥91.16 pg/mL, n = 195). INTERVENTIONS: None. MAIN OUTCOME MEASURES: Pregnancy outcomes including rates of clinical pregnancy, clinical miscarriage, and live birth. Neonatal outcomes including gestational age at delivery, birth weight, and Apgar score. RESULTS: The mean ± SD estradiol level was 66.8 ± 14.8 pg/mL for the "Low E2" group compared with 366.3 ± 322.1 pg/mL for the "Normal E2" group. There were otherwise no substantial differences in cycle characteristics such as endometrial thickness on the day of ovulation trigger and progesterone levels in early pregnancy. The "Low E2" group had a significantly higher clinical miscarriage rate (36.4% vs. 8.8%, adjusted odds ratio 8.06) and lower live birth rate (31.8% vs. 57.9%, adjusted odds ratio 0.28). Neonatal outcomes such as gestational age at delivery, mean birth weight, Apgar scores, and incidence of newborn complications were not clinically different between the groups. CONCLUSION: Low E2 levels were associated with a significantly higher miscarriage rate and lower live birth rate, suggesting that E2 levels in the follicular phase may have an effect on cycle outcomes. Given the rise in use of FET, further studies are needed to confirm our findings and understand the mechanisms.

The COVID-19 Outpatient Pragmatic Platform Study (COPPS): Study design of a multi-center pragmatic platform trial.

More than 3000 clinical trials related to COVID-19 have been registered through clinicaltrials.gov. With so many trials, there is a risk that many will be inconclusive due to being underpowered or due to an inability to recruit patients. At academic medical centers, multiple trials are competing for the same resources; the success of one may come at the expense of another. The COVID-19 Outpatient Pragmatic Protocol Study (COPPS) is a flexible phase 2, multi-site, randomized, blinded trial based at Stanford University designed to overcome these issues by simultaneously evaluating multiple COVID-19 treatments in the outpatient setting in one common platform with shared controls. This approach reduces the overall number of patients required for statistical power, while improving the likelihood that any enrolled patient receives active treatment. The platform study has two main domains designed to evaluate COVID-19 treatments by assessing their ability to reduce viral shedding (Viral Domain), measured with self-collected nasal swabs, or improve clinical outcomes (Clinical Domain), measured through self-reported symptomology data. Data are collected on both domains for all participants enrolled. Participants are followed over a 28-day period. COPPS has the advantage of pragmatism created around its workflow that is also appealing to potential participants because of a lower probability of inactive treatment. At the conclusion of this clinical trial we expect to have identified potentially effective therapeutic strategy/ies for treating COVID-19 in the outpatient setting, which will have a transformative impact on medicine and public health.

A community-based, multi-level, multi-setting, multi-component intervention to reduce weight gain among low socioeconomic status Latinx children with overweight or obesity: The Stanford GOALS randomised controlled trial.

BACKGROUND: There are few long-term studies of interventions to reduce in low socioeconomic status children with overweight or obesity. The Stanford GOALS trial evaluated a 3-year, community-based, multi-level, multi-setting, multi-component (MMM) systems intervention, to reduce weight gain among low socioeconomic status, Latinx children with overweight or obesity. METHODS: We did a two-arm, parallel group, randomised, open-label, active placebo-controlled trial with masked assessment over 3 years. Families from low-income, primarily Latinx communities in Northern California, CA, USA, with 7-11-year-old children with overweight or obesity were randomly assigned to a MMM intervention or a Health Education (HE) comparison intervention. The MMM intervention included home environment changes and behavioural counselling, community after school team sports, and reports to primary health-care providers. The primary outcome was child BMI trajectory over three years. Secondary outcomes included one- and two-year changes in BMI. This trial is registered with ClinicalTrials.govNCT01642836. FINDINGS: Between July 13, 2012, and Oct 3, 2013, 241 families were recruited and randomly assigned to MMM (n=120) or HE (n=121). Children's mean age was 9·5 (SD 1·4) years, 134 (56%) were female and 107 (44%) were male, and 236 (98%) were Latinx. 238 (99%) children participated in year 1, 233 (97%) in year 2, and 227 (94%) in year 3 of follow-up assessments. In intention-to-treat analysis, over 3 years, the difference between intervention groups in BMI trajectory was not significant (mean adjusted difference -0·25 [95% CI -0·90 to 0·40] kg/m2; Cohen's d=0.10; p=0·45). Children in the MMM intervention group gained less BMI over 1 year than did children in the HE intervention group (-0·73 [-1·07 to -0·39] kg/m2, d=0.55); the same was true over 2 years (-0·63 [-1·13 to -0·14] kg/m2; d =0.33). No differential adverse events were observed. INTERPRETATION: The MMM intervention did not reduce BMI gain versus HE over 3 years but the effects over 1 and 2 years in this rigorous trial show the promise of this systems intervention approach for reducing weight gain and cardiometabolic risk factors in low socioeconomic status communities. FUNDING: US National Institutes of Health.

Clinical trials in a COVID-19 pandemic: Shared infrastructure for continuous learning in a rapidly changing landscape.

BACKGROUND: Clinical trials, conducted efficiently and with the utmost integrity, are a key component in identifying effective vaccines, therapies, and other interventions urgently needed to solve the COVID-19 crisis. Yet launching and implementing trials with the rigor necessary to produce convincing results is a complicated and time-consuming process. Balancing rigor and efficiency involves relying on designs that employ flexible features to respond to a fast-changing landscape, measuring valid endpoints that result in translational actions and disseminating findings in a timely manner. We describe the challenges involved in creating infrastructure with potential utility for shared learning. METHODS: We have established a shared infrastructure that borrows strength across multiple trials. The infrastructure includes an endpoint registry to aid in selecting appropriate endpoints, a registry to facilitate establishing a Data & Safety Monitoring Board, common data collection instruments, a COVID-19 dedicated design and analysis team, and a pragmatic platform protocol, among other elements. RESULTS: The authors have relied on the shared infrastructure for six clinical trials for which they serve as the Data Coordinating Center and have a design and analysis team comprising 15 members who are dedicated to COVID-19. The authors established a pragmatic platform to simultaneously investigate multiple treatments for the outpatient with adaptive features to add or drop treatment arms. CONCLUSION: The shared infrastructure provides appealing opportunities to evaluate disease in a more robust manner with fewer resources and is especially valued during a pandemic where efficiency in time and resources is crucial. The most important element of the shared infrastructure is the pragmatic platform. While it may be the most challenging of the elements to establish, it may provide the greatest benefit to both patients and researchers.

Disaggregated mortality from gastrointestinal cancers in Asian Americans: Analysis of United States death records.

Asian Americans (AAs) are heterogeneous, and aggregation of diverse AA populations in national reporting may mask high-risk groups. Gastrointestinal (GI) cancers constitute one-third of global cancer mortality, and an improved understanding of GI cancer mortality by disaggregated AA subgroups may inform future primary and secondary prevention strategies. Using national mortality records from the United States from 2003 to 2017, we report age-standardized mortality rates, standardized mortality ratios and annual percent change trends from GI cancers (esophageal, gastric, colorectal, liver and pancreatic) for the six largest AA subgroups (Asian Indians, Chinese, Filipinos, Japanese, Koreans and Vietnamese). Non-Hispanic Whites (NHWs) are used as the reference population. We found that mortality from GI cancers demonstrated nearly 3-fold difference between the highest (Koreans, 61 per 100 000 person-years) and lowest (Asian Indians, 21 per 100 000 person-years) subgroups. The distribution of GI cancer mortality demonstrates high variability between subgroups, with Korean Americans demonstrating high mortality from gastric cancer (16 per 100 000), and Vietnamese Americans demonstrating high mortality from liver cancer (19 per 100 000). Divergent temporal trends emerged, such as increasing liver cancer burden in Vietnamese Americans, which exacerbated existing mortality differences. There exist striking differences in the mortality burden of GI cancers by disaggregated AA subgroups. These data highlight the need for disaggregated data reporting, and the importance of race-specific and personalized strategies of screening and prevention.

Laboratory-wide association study of survival with prostate cancer.

BACKGROUND: Estimates of overall patient health are essential to inform treatment decisions for patients diagnosed with cancer. The authors applied XWAS methods, herein referred to as "laboratory-wide association study (LWAS)", to evaluate associations between routinely collected laboratory tests and survival in veterans with prostate cancer. METHODS: The authors identified 133,878 patients who were diagnosed with prostate cancer between 2000 and 2013 in the Veterans Health Administration using any laboratory tests collected within 6 months of diagnosis (3,345,083 results). Using the LWAS framework, the false-discovery rate was used to test the association between multiple laboratory tests and survival, and these results were validated using training, testing, and validation cohorts. RESULTS: A total of 31 laboratory tests associated with survival met stringent LWAS criteria. LWAS confirmed markers of prostate cancer biology (prostate-specific antigen: hazard ratio [HR], 1.07 [95% confidence interval (95% CI), 1.06-1.08]; and alkaline phosphatase: HR, 1.22 [95% CI, 1.20-1.24]) as well laboratory tests of general health (eg, serum albumin: HR, 0.78 [95% CI, 0.76-0.80]; and creatinine: HR, 1.05 [95% CI, 1.03-1.07]) and inflammation (leukocyte count: HR, 1.23 [95% CI, 1.98-1.26]; and erythrocyte sedimentation rate: HR, 1.33 [95% CI, 1.09-1.61]). In addition, the authors derived and validated separate models for patients with localized and advanced disease, identifying 28 laboratory markers and 15 laboratory markers, respectively, in each cohort. CONCLUSIONS: The authors identified routinely collected laboratory data associated with survival for patients with prostate cancer using LWAS methodologies, including markers of prostate cancer biology, overall health, and inflammation. Broadening consideration of determinants of survival beyond those related to cancer itself could help to inform the design of clinical trials and aid in shared decision making. LAY SUMMARY: This article examined routine laboratory tests associated with survival among veterans with prostate cancer. Using laboratory-wide association studies, the authors identified 31 laboratory tests associated with survival that can be used to inform the design of clinical trials and aid patients in shared decision making.

Financial Difficulties in Families of Hospitalized Children.

BACKGROUND: High costs of hospitalization may contribute to financial difficulties for some families. OBJECTIVE: To examine the prevalence of financial distress and medical financial burden in families of hospitalized children and identify factors that can predict financial difficulties. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional survey of parents of hospitalized children at six children's hospitals between October 2017 and November 2018. MAIN OUTCOMES AND MEASURES: The outcomes were high financial distress and medical financial burden. Multivariable logistic regression identified predictors of each outcome. The primary predictor variable was level of chronic disease (complex chronic disease, C-CD; noncomplex chronic disease, NC-CD; no chronic disease, no-CD). RESULTS: Of 644 invited participants, 526 (82%) were enrolled, with 125 (24%) experiencing high financial distress, and 160 (30%) reporting medical financial burden. Of those, 86 (54%) indicated their medical financial burden was caused by costs associated with their hospitalized child. Neither C-CD nor NC-CD were associated with high financial distress. Child-related medical financial burden was associated with both C-CD and NC-CD (adjusted odds ratio [AOR], 4.98; 95% CI, 2.41-10.29; and AOR, 2.57; 95% CI, 1.11-5.93), compared to no-CD. Although household poverty level was associated with both measures, financial difficulties occurred in all family income brackets. CONCLUSION: Financial difficulties are common in families of hospitalized children. Low-income families and those who have children with chronic conditions are at particular risk; however, financial difficulties affect all subsets of the pediatric population. Hospitalization may be a prime opportunity to identify and engage families at risk for financial distress and medical financial burden.