ARDS Studies in Critical Care Journals: How Representative Are the Patients Studied?

Racism in Pain Medicine: We Can and Should Do More

Health disparities in regional anesthesia and analgesia for the management of acute pain in trauma patients.

Objective: Black endometrial cancer patients are more than twice as likely to die from their disease as White patients. This study sought to identify alterations in the proteome and transcriptome of primary tumor tissues from White and Black endometrioid endometrial cancer (EEC) patients associated with differential outcome. Methods: An integrated proteomic and transcriptomic analysis (LC-MS/MS and RNA-seq) was performed on White (n=13) and Black (n=17) EEC patient tissues. Significant and concordantly altered protein and transcript candidates were validated against publicly available RNA-seq data (TCGA UCEC) from White (n=216) and Black (n=49) EEC patients. Validated candidates were further correlated with overall (OS, n=356 White and Black patients) and progression-free survival (PFS, n=331 White and Black patients) to identify candidates significantly associated with differential disease outcome. Alterations of outcome-associated candidates were validated in an independent cohort of White (n=115) and Black (n=17) EEC patient transcript expression data. Results: We identified and validated 89 proteins and transcripts significantly altered between White vs Black EEC patients. Pathway analyses revealed candidates elevated in White EEC patients correlated with marked activation of molecular signaling pathways regulating viral infection, but inhibition of those regulating cell death and necrosis. Candidates elevated in Black EEC patients largely correlated with activation of cell viability and nucleic acid metabolism, but inhibition of cell death, glucose metabolism disorder and inflammatory signaling. Correlation with patient outcome measures revealed 11 candidates significantly associated with differential OS and 8 candidates with differential PFS in EEC patients. All outcome-associated candidates elevated in White patients significantly correlated with a low risk of poor OS and poor PFS (Hazard Ratio (HR) < 1, Wald p-value < 0.05). Conversely, the majority of outcome-associated candidates (88%) elevated in Black patients correlated with a high risk of poor OS and poor PFS (HR > 1, Wald p-value < 0.05). Several OS (27%) and PFS (75%) candidates remained significant after adjustment for disease stage and grade as well as myometrial invasion. Alteration trends for several OS (27%) and PFS (25%) candidates were validated in an independent cohort of White and Black EEC patients. Conclusions: Our analyses identified and confirmed molecular alterations between White and Black EEC patients, including outcome-associated candidates largely supportive of better outcome in White patients, but poor outcome in Black patients. These findings define molecular alterations in White and Black EEC patients consistent with the historic disparity of poor outcome for Black patients warranting further investigation of these candidates in Black EEC disease pathology. Citation Format: Nicholas W. Bateman, Elizabeth Dubil, Guisong Wang, Brian L. Hood, Tracy Litzi, Julie Oliver, Kathleen M. Darcy, Chad A. Hamilton, Thomas P. Conrads, George L. Maxwell. Proteome and transcriptome alterations in black endometrial cancer patients correlate with poor disease outcome [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5277. doi:10.1158/1538-7445.AM2017-5277

Variation in the Incidence and Timing of Acute Lung Injury: The Role of Race

See article on page 1519–1526, in this issue

Background: Black men are the most have the highest prostate cancer (PCa) mortality across all US population groups. We have previously demonstrated how mathematical modeling can be used to understand prostate-specific antigen (PSA) dynamics and predict patient-specific responses to treatment. We hypothesize that we can use mathematical modeling to investigate differences in PSA dynamics between black and white men undergoing androgen deprivation therapy (ADT) treatment modalities for both black and white patients that will ultimately reduce disparities. Methods: We received data for 57 PCa patients from the Veterans Affairs Hospital and Medical College of Wisconsin (N = 47 white, N = 10 black). To compensate for the lack of data for black patients, propensity score matching was used to match 15 white patients to 10 black patients based on their Eastern Cooperative Oncology Group (ECOG) score, age, and tumor burden. Our previously developed stem cell enrichment model was used to investigate the primary differences in response dynamics between the white and black patient cohorts. [1] Results: Parameter optimization was used to determine appropriate model parameter values to accurately describe the data. Parameters were sequentially chosen to be patient-specific or uniform within each individual patient cohort in a leave-one-out analysis. Parameter analysis showed that the stem cell self-renewal rates significantly differed between white and black patients (p = 0.0455). Further analysis did not show any significant differences between patient cohorts for the remaining model parameters. Conclusions: Our results suggest that stem cell self-renewal is the parameter driving differences in PSA dynamics between white and black patients. Though propensity score analysis allowed for a more equal comparison between the black and white patient cohorts, additional patient data is needed to validate these results. Future work will include acquiring additional data and completing race-specific model analysis for black and white patients. Citation Format: Alexandria Johnson. Comparing prostate specific antigen dynamics between Black patients and White patients [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr A022.

The COVID-19 pandemic precipitated a significant transformation of scientific journals. Our aim was to determine how critical care (CC) journals and their impact may have evolved during the COVID-19 pandemic. We hypothesized that the impact, as measured by citations and publications, from the field of CC would increase. Observational study of journal publications, citations, and retractions status. All work was done electronically and retrospectively. The top 18 CC journals broadly concerning CC, and the top 5 most productive CC journals on the SCImago list. None. For the top 18 CC journals and specifically Critical Care Medicine (CCM), time series analysis was used to estimate the trends of total citations, citations per publication, and publications per year by using the best-fit curve. We used PubMed and Retraction Watch to determine the number of COVID-19 publications and retractions. The average total citations and citations per publication for all journals was an upward quadratic trend with inflection points in 2020, whereas publications per year spiked in 2020 before returning to prepandemic values in 2021. For CCM total publications trend downward while total citations and citations per publication generally trend up from 2017 onward. CCM had the lowest percentage of COVID-related publications (15.7%) during the pandemic and no reported retractions. Two COVID-19 retractions were noted in our top five journals. Citation activity across top CC journals underwent a dramatic increase during the COVID-19 pandemic without significant retraction data. These trends suggest that the impact of CC has grown significantly since the onset of COVID-19 while maintaining adherence to a high-quality peer-review process.

ImportanceAortic stenosis (AS) is one of the most common heart valve conditions and its incidence and prevalence increases with age. With the introduction of transcatheter aortic valve replacement (TAVR), racial and ethnic disparities in AS diagnosis, treatment and outcomes is poorly understood.ObjectiveIn this study we assessed racial and ethnic disparities in AS diagnosis, treatment, and outcomes among Medicare beneficiaries.DesignWe conducted a population-based cohort study of inpatient, outpatient, and professional claims from a 20% sample of Medicare beneficiariesMain outcomes and measuresIncidence and Prevalence was determined among Medicare Beneficiaries. Outcomes in this study included management; the number of (non)-interventional cardiology and cardiothoracic surgery evaluation and management (E&M) visits, and number of transthoracic echocardiograms (TTE) performed. Treatment, which was defined as Surgical Aortic Valve Replacement and Transthoracic Aortic Valve Replacement. And outcomes described as All-cause Hospitalizations, Heart Failure Hospitalization and 1-year mortality.ResultsA total of 1,513,455 Medicare beneficiaries were diagnosed with AS (91.3% White, 4.5% Black, 1.1% Hispanic, 3.1% Asian and North American Native) between 2010 and 2018. Annual prevalence of AS diagnosis was lower for racial and ethnic minorities compared with White patients, with adjusted rate ratios of 0.66 (95% CI 0.65 to 0.68) for Black patients, 0.67 (95% CI 0.64 to 0.70) for Hispanic patients and 0.75 (95% CI 0.73 to 0.77) for Asian and North American Native patients as recent as 2018. After adjusting for age, sex and comorbidities, cardiothoracic surgery E&M visits and treatment rates were significantly lower for Black, Hispanic and Asian and North American Native patients compared with White patients. All-cause hospitalization rate was higher for Black and Hispanic patients compared with White patient. 1-year mortality was higher for Black patients, while Hispanic and Asian and North American Native patients had lower 1-year mortality compared with White patients.Conclusions and relevanceWe demonstrated significant racial and ethnic disparities in the diagnosis, management and outcomes of AS. The factors driving the persistence of these disparities in AS care need to be elucidated to develop an equitable health care system.

Patients who are uninsured and belong to racial and ethnic minority groups or have low socioeconomic status have suboptimal access to health care, likely affecting outcomes. The association of the Affordable Care Act's Medicaid expansion with survival among patients with metastatic breast cancer is unknown. To examine the association between Medicaid expansion and mortality disparity among patients with de novo stage IV breast cancer. Cross-sectional, population-based study of survival using Cox proportional hazards regression and difference-in-difference (DID) analysis of data from the National Cancer Database and patients diagnosed as having de novo stage IV breast cancer between January 1, 2010, and December 31, 2016, residing in states that underwent Medicaid expansion on January 1, 2014. The preexpansion period was January 1, 2010, to December 31, 2013; the postexpansion period was January 1, 2014, to December 31, 2016. Data were analyzed between September 4, 2020, and November 16, 2021. Comparison of survival improvement between patients of racial and ethnic minority groups and White patients in the preexpansion and postexpansion periods. Because of small numbers in the specific racial and ethnic minority groups, these patients were combined into 1 category for comparisons. Overall survival (OS) and 2-year mortality rate. Among 9322 patients included (mean [SD] age, 55 [7] years), 5077 were diagnosed in the preexpansion and 4245 in the postexpansion period. The racial and ethnic minority group comprised 2545 (27.3%), which included 500 (5.4%) Hispanic (any race), 1515 (16.3%) non-Hispanic Black, and 530 (5.7%) non-Hispanic other including 25 (0.3%) American Indian or Alaska Native, 357 (3.8%) Asian or Pacific Islander, and 148 (1.6%) unknown, and 6777 (72.7%) were in the White patient group. In the preexpansion period, White patients had increased OS compared with patients of racial and ethnic minority groups (adjusted hazard ratio [aHR], 1.22; 95% CI, 1.10-1.35); this difference was not observed in the postexpansion period (aHR, 0.96; 95% CI, 0.86-1.08). A reduction in 2-year mortality was observed between the preexpansion and postexpansion periods (32.2% vs 26.0%). The adjusted 2-year mortality decreased from 40.6% to 36.3% among White patients and from 45.6% to 35.8% among patients of racial and ethnic minority groups (adjusted DID, -5.5%; 95% CI, -9.5 to -1.6; P = .006). Among patients in the lowest income quartile (n = 1510), patients of racial and ethnic minority groups had an increased risk of death in the preexpansion period (aHR, 1.28; 95% CI, 1.01-1.61) but lower risk in the postexpansion period (aHR, 0.75; 95% CI, 0.59-0.95). In this subset of patients, those of racial and ethnic minority groups had a greater reduction in 2-year mortality compared with White patients (adjusted DID, -12.8%; 95% CI, -22.2 to -3.5; P = .007). In this cross-sectional study, survival differences observed between patients of racial and ethnic minority groups and White patients in the preexpansion period were no longer present in the postexpansion period. A greater reduction in 2-year mortality was observed among patients of racial and ethnic minority groups compared with White patients. These results suggest that policies aimed at improving equity and increasing access to health care may reduce racial and ethnic disparities in breast cancer outcomes.

Diversity, Equity, and Inclusion: A strategic priority for the American Pediatric Surgical Association

Reducing Implicit Bias in Maternity Care: A Framework for Action

Coronavirus Disease 2019 Acute Respiratory Distress Syndrome: Guideline-Driven Care Should Be Our Natural Reflex.

POINT: Should Computerized Protocols Replace Physicians for Managing Mechanical Ventilation? Yes

BackgroundTraumatic brain injury (TBI) is a significant source of morbidity and mortality. In patients with TBI, racial disparities have been shown to exist in patient outcomes. Identifying where disparities occur...

Background: Black breast cancer patients have a well-documented survival disparity when compared to White patients. It is imperative to explore the reasons for this disparity from both a socioeconomic and biological perspective. Prior studies evaluating somatic genetic differences have primarily focused on tumor tissue analysis, which could be limited by inter- and intra-tumor heterogeneity. Circulating tumor DNA (ctDNA) testing allows for non-invasive detection of these heterogenous somatic mutations in the peripheral blood. We hypothesized that there could be differences in cancer-specific genetic profiles across Black and White patients with metastatic breast cancer (MBC), and that these differences may impact treatment response and clinical outcomes. Methods: This retrospective cohort study included a total of 1327 patients with MBC who were treated at Washington University in St. Louis (N=474 patients), Massachusetts General Hospital (N=412), and Northwestern University (N=441). All patients underwent ctDNA profiling using the commercially available Guardant360 assay. Race information was patient-reported, and ancestry data were not available. Descriptive analysis of clinical variables and pathway variants was performed. Univariate and multivariate analyses were done to evaluate single gene mutations and genetic pathways in both the entire cohort and the hormone-receptor positive (HR+), HER2-negative population (HR+/HER2-). The potential prognostic impact of these somatic mutations was assessed through multivariate analysis in both White and Black patient populations. Results: The cohort of 1327 patients included 1057 White patients (79.6%) and 140 Black patients (10.5%). The remaining patients (9.9%) were not included in the analysis due to low numbers. Black patients had significantly higher rates of GATA3 single nucleotide variants (snv) (OR 2.13, 95% CI 1.07-4.25, P=0.03), PTPN11 snv (OR 7.90, CI 1.10-56.56, P=0.04), and CCND2 copy number variants (cnv) (OR 3.78, CI 1.51-9.45, P=0.004). These alterations were also significantly more common in Black patients in the HR+/HER2- population (N = 812) for GATA3 snv (OR 2.28, CI 1.09-4.76, P=0.028), PTPN11 snv (OR 16.60, CI 1.49-184.93, p=0.022), and CCND2 cnv (OR 4.17, CI 1.02-16.97, P=0.046). Multivariate analysis confirmed that GATA3 snv (OR 2.23, CI 1.12-4.45, P=0.023) and CCND2 cnv (OR 3.97, CI 1.59-9.94, P=0.003) were significantly more common in Black patients in both the full cohort and HR+/HER2- subset. Mutations in the PI3K pathway were more prevalent in White patients, but this difference was not statistically significant in univariate or multivariate analysis. Overall survival (OS) from time of ctDNA collection was significantly worse in Black patients compared to White patients when corrected for lines of therapy and sites of metastasis (median 22 vs. 29 months, log-rank test, P=0.03). Among HR+/HER2- patients specifically, worse prognosis in White patients was associated with TP53 snv (HR 1.55, CI 1.19-2.01, P=0.001), NF1 snv (HR 1.99, CI 1.11-3.56, P=0.021), MYC cnv (HR 1.76, CI 1.09-2.87, P=0.02), PIK3CA cnv pathway (HR 1.69, CI 1.07-2.66, P=0.024), and MYC cnv pathway (HR 1.85, CI 1.15-2.97, P=0.011). No significant gene mutation or pathway association was found in Black patients. Prognostic differences in the cohort based on clinical, pathological, and treatment history were also explored and will be presented. Discussion: To our knowledge, this is the largest clinical genomic dataset examining ctDNA differences across Black and White patients. Our findings revealed that Black patients had higher frequencies of GATA3 snv and CCND2 cnv. The shorter OS observed in Black patients in our study aligns with previous studies and is likely multifactorial, especially given the early separation of the survival curves. Future research should focus on both socioeconomic and genetic factors to explain this disparity. Citation Format: Emily Podany, Lorenzo Foffano, Lorenzo Gerratana, Arielle Medford, Katherine Clifton, Whitney Hensing, Renee Morecroft, Marko Velimirovic, Ami Shah, Carolina REDUZZI, Laura Munoz Arcos, Charles S. Dai, Jennifer Keenan, Elyssa Denault, Foluso Ademuyiwa, Fabio Puglisi, Cynthia Ma, Aditya Bardia, Massimo Cristofanilli, Andrew Davis. Differences in ctDNA genomic profiles and outcomes of Black and White patients with metastatic breast cancer: results from a large multicenter consortium [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS06-03.