Identifying latent themes in suicide among black and white adolescents and young adults using the National Violent Death Reporting System, 2013-2019.

Suicide rates for adolescents and young adults (AYA) have risen dramatically in recent years - by almost 60% for Americans aged 10-24 years between 2007 and 2018. This increase has occurred for both whites and Blacks, with the rise in suicide among Black youth of particular note. Blacks historically exhibit lower rates of suicide relative to whites and thus, less is known about the etiology of Black suicide. To gain insight into the underlying causes of suicide among AYA, we examine medical examiner reports from the National Violent Death Reporting System (NVDRS) from 2013 to 2019 for over 26,000 Black and white suicide decedents ages 10-29. We apply structural topic modeling (STM) approaches to describe the broad contours of AYA suicide in the United States today. Our findings reveal distinct patterns by race. Guns, violence and the criminal justice system are prominent features of Black suicide, whether through the mechanism used in the suicide, either by firearm or other violent means such as fire or electrocution, the existence of criminal or legal problems/disputes, the location of death in a jail, or the presence of police. In contrast, the narratives of white AYA are more likely to reference mental health or substance abuse problems. Access to resources, as measured by county median household income, overlay these patterns. Themes more prevalent among Blacks are more common in poorer counties; those more prevalent among whites tend to be more common in wealthier counties. Our findings are consistent with other studies that suggest Black people experience greater exposure to violence and other traumas, systemic racism and interpersonal discrimination that may elevate the risk for suicidal behavior.

Trend of incompleteness of maternal schooling and race/skin color variables held on the Brazilian Live Birth Information System, 2012-2020.

OBJECTIVE: to analyze the trend of incompleteness of the maternal schooling and race/skin color variables held on the Brazilian Live Birth Information System (SINASC) between 2012 and 2020. METHODS: this was an ecological time series study of the incompleteness of maternal schooling and race/skin color data for Brazil, its regions and Federative Units, by means of joinpoint regression and calculation of annual percentage change (APC) and average annual percentage change. RESULTS: a total of 26,112,301 births were registered in Brazil in the period; incompleteness of maternal schooling data decreased for Brazil (APC = -8.1%) and the Southeast (APC = -19.5%) and Midwest (APC = -17.6%) regions; as for race/skin color, there was a downward trend for Brazil (APC = -8.2%) and all regions, except the Northeast region, while nine Federative Units and the Federal District showed a stationary trend. CONCLUSION: there was an improvement in filling out these variables on the SINASC, but with regional disparities, mainly for race/skin color.

Exploring the complexity and spectrum of racial/ethnic disparities in colon cancer management.

BACKGROUND: Colorectal cancer is a leading cause of morbidity and mortality across U.S. racial/ethnic groups. Existing studies often focus on a particular race/ethnicity or single domain within the care continuum. Granular exploration of disparities among different racial/ethnic groups across the entire colon cancer care continuum is needed. We aimed to characterize differences in colon cancer outcomes by race/ethnicity across each stage of the care continuum. METHODS: We used the 2010-2017 National Cancer Database to examine differences in outcomes by race/ethnicity across six domains: clinical stage at presentation; timing of surgery; access to minimally invasive surgery; post-operative outcomes; utilization of chemotherapy; and cumulative incidence of death. Analysis was via multivariable logistic or median regression, with select demographics, hospital factors, and treatment details as covariates. RESULTS: 326,003 patients (49.6% female, 24.0% non-White, including 12.7% Black, 6.1% Hispanic/Spanish, 1.3% East Asian, 0.9% Southeast Asian, 0.4% South Asian, 0.3% AIAE, and 0.2% NHOPI) met inclusion criteria. Relative to non-Hispanic White patients: Southeast Asian (OR 1.39, p < 0.01), Hispanic/Spanish (OR 1.11 p < 0.01), and Black (OR 1.09, p < 0.01) patients had increased odds of presenting with advanced clinical stage. Southeast Asian (OR 1.37, p < 0.01), East Asian (OR 1.27, p = 0.05), Hispanic/Spanish (OR 1.05 p = 0.02), and Black (OR 1.05, p < 0.01) patients had increased odds of advanced pathologic stage. Black patients had increased odds of experiencing a surgical delay (OR 1.33, p < 0.01); receiving non-robotic surgery (OR 1.12, p < 0.01); having post-surgical complications (OR 1.29, p < 0.01); initiating chemotherapy more than 90 days post-surgery (OR 1.24, p < 0.01); and omitting chemotherapy altogether (OR 1.12, p = 0.05). Black patients had significantly higher cumulative incidence of death at every pathologic stage relative to non-Hispanic White patients when adjusting for non-modifiable patient factors (p < 0.05, all stages), but these differences were no longer statistically significant when also adjusting for modifiable factors such as insurance status and income. CONCLUSIONS: Non-White patients disproportionately experience advanced stage at presentation. Disparities for Black patients are seen across the entire colon cancer care continuum. Targeted interventions may be appropriate for some groups; however, major system-level transformation is needed to address disparities experienced by Black patients.

Hypnotic prescription trends and patterns for the treatment of insomnia in Japan: analysis of a nationwide Japanese claims database.

BACKGROUND: There is limited consensus regarding the optimal treatment of insomnia. The recent introduction of orexin receptor antagonists (ORA) has increased the available treatment options. However, the prescribing patterns of hypnotics in Japan have not been comprehensively assessed. We performed analyses of a claims database to investigate the real-world use of hypnotics for treating insomnia in Japan. METHODS: Data were retrieved for outpatients (aged ≥ 20 to < 75 years old) prescribed ≥ 1 hypnotic for a diagnosis of insomnia between April 1st, 2009 and March 31st, 2020, with ≥ 12 months of continuous enrolment in the JMDC Claims Database. Patients were classified as new or long-term users of hypnotics. Long-term use was defined as prescription of the same mechanism of action (MOA) for ≥ 180 days. We analyzed the trends (2010-2019) and patterns (2018-2019) in hypnotics prescriptions. RESULTS: We analyzed data for 130,177 new and 91,215 long-term users (2010-2019). Most new users were prescribed one MOA per year (97.1%-97.9%). In 2010, GABAA-receptor agonists (benzodiazepines [BZD] or z-drugs) were prescribed to 94.0% of new users. Prescriptions for BZD declined from 54.8% of patients in 2010 to 30.5% in 2019, whereas z-drug prescriptions remained stable (~ 40%). Prescriptions for melatonin receptor agonist increased slightly (3.2% to 6.3%). Prescriptions for ORA increased over this time from 0% to 20.2%. Prescriptions for BZD alone among long-term users decreased steadily from 68.3% in 2010 to 49.7% in 2019. Prescriptions for ORA were lower among long-term users (0% in 2010, 4.3% in 2019) relative to new users. Using data from 2018-2019, multiple (≥ 2) MOAs were prescribed to a higher proportion of long-term (18.2%) than new (2.8%) users. The distribution of MOAs according to psychiatric comorbidities, segmented by age or sex, revealed higher proportions of BZD prescriptions in elderly (new and long-term users) and male (new users) patients in all comorbidity segments. CONCLUSION: Prescriptions for hypnotics among new and long-term users in Japan showed distinct patterns and trends. Further understanding of the treatment options for insomnia with accumulating evidence for the risk-benefit balance might be beneficial for physicians prescribing hypnotics in real-world settings.

Characteristics Contributing to Survival Differences Between Black and White Patients Following Cystectomy.

PURPOSE: Examine patient, tumor, and treatment characteristics effect on the disparity between black and white patients with muscle-invasive bladder cancer (MIBC) who undergo radical cystectomy (RC). METHODS: 1,286 black patients in the 2004 to 2016 National Cancer Database fit inclusion criteria. A tapered match was performed from 17,374 white patients sequentially matched to the black cohort on demographics (age, gender, insurance, income, education, county, diagnosis year), presentation (demographic variables, stage, grade, tumor size, Charlson score), and treatment (demographic and presentation variables, lymph node count, hospital volume, neoadjuvant chemotherapy [NAC], treatment delay), creating 3 matched cohorts. Chi-square and Kruskal-Wallis tests were used to compare cohorts. Kaplan-Meier analysis was used to compare 5-year overall survival (OS). RESULTS: 5-year OS rate was 40.4% and 35.6% for unmatched white and black cohorts (P < 0.001), respectively. Following demographics and presentation match, 5-year OS rate for white patients decreased to 39.2% (P = 0.003) and 39.10% (P = 0.019), respectively. After treatment match, 5-year OS rate decreased to 36.7% for white patient (P = 0.32). Following presentation match, 7.2% of black patients vs. 5.8% of white patients had treatment delay, and 10.1% of black patients vs. 11.2% of white patients received NAC. The treatment match resulted in a 0.3% difference between groups for treatment delay and NAC. CONCLUSIONS: Our analysis demonstrates that disparity between black and white patients with muscle-invasive bladder cancer exists in demographic-, presentation-, and treatment-related variables. Treatment variables may be a large contributing factor to survival disparities. Further research is needed to identify social, biological, and organizational inputs that contribute to these disparities.

Radiotherapy Deserts: The Impact of Race, Poverty, and the Rural-Urban Continuum on Density of Providers and the Use of Radiation Therapy in the US.

PURPOSE: Prior efforts to characterize disparities in radiation therapy access and receipt have not comprehensively investigated interplay between race, socioeconomic status, and geography relative to oncologic outcomes. This study sought to define these complex relationships at the US county level for prostate cancer (PC) and invasive breast (BC) cancer to build a tool that facilitates identification of "radiotherapy deserts"-regions with mismatch between radiation therapy resources and oncologic need. METHODS AND MATERIALS: An ecologic study model was constructed using national databases to evaluate 3,141 US counties. Radiation therapy resources and use densities were operationalized as physicians to persons at risk (PPR) and use to persons at risk (UPR): the number of attending radiation oncologists and Medicare beneficiaries per 100,000 persons at risk, respectively. Oncologic need was defined by "hot zone" counties with ≥2 standard deviations (SDs) above mean incidence and death rates. Univariable and multivariable logistic regressions examined links between PPR and UPR densities, epidemiologic variables, and hot zones for oncologic outcomes. Statistics are reported at a significance level of P < .05. RESULTS: The mean (SD) PPR and UPR densities were 2.1 (5.9) and 192.6 (557.6) for PC and 1.9 (5.3) and 174.4 (501.0) for BC, respectively. Counties with high PPR and UPR densities were predominately metropolitan (odds ratio [OR], 2.9-4.4), generally with a higher percentage of Black non-Hispanic constituents (OR, 1.5-2.3). Incidence and death rate hot zones were largely nonmetropolitan (OR, 0.3-0.6), generally with a higher percentage of Black non-Hispanic constituents (OR, 3.2-6.3). Lower PPR density was associated with death rate hot zones for both types of cancer (OR, 0.8-0.9); UPR density was generally not linked to oncologic outcomes on multivariable analysis. CONCLUSIONS: The study found that mismatch between oncologic need with PPR and UPR disproportionately affects nonmetropolitan communities with a higher percentage of Black non-Hispanic constituents. An interactive web platform (bit.ly/densitymaps) was developed to visualize "radiotherapy deserts" and drive targeted investigation of underlying barriers to care in areas of highest need, with the goal of reducing health inequities in this context.

Healthcare costs and mortality associated with serious fluoroquinolone-related adverse reactions.

The aim of this study was to estimate healthcare costs and mortality associated with serious fluoroquinolone-related adverse reactions in Finland from 2008 to 2019. Serious adverse reaction types were identified from the Finnish Pharmaceutical Insurance Pool's pharmaceutical injury claims and the Finnish Medicines Agency's Adverse Reaction Register. A decision tree model was built to predict costs and mortality associated with serious adverse drug reactions (ADR). Severe clostridioides difficile infections, severe cutaneous adverse reactions, tendon ruptures, aortic ruptures, and liver injuries were included as serious adverse drug reactions in the model. Direct healthcare costs of a serious ADR were based on the number of reimbursed fluoroquinolone prescriptions from the Social Insurance Institution of Finland's database. Sensitivity analyses were conducted to address parameter uncertainty. A total of 1 831 537 fluoroquinolone prescriptions were filled between 2008 and 2019 in Finland, with prescription numbers declining 40% in recent years. Serious ADRs associated with fluoroquinolones lead to estimated direct healthcare costs of 501 938 402 €, including 11 405 ADRs and 3,884 deaths between 2008 and 2019. The average mortality risk associated with the use of fluoroquinolones was 0.21%. Severe clostridioides difficile infections were the most frequent, fatal, and costly serious ADRs associated with the use of fluoroquinolones. Although fluoroquinolones continue to be generally well-tolerated antimicrobials, serious adverse reactions cause long-term impairment to patients and high healthcare costs. Therefore, the risks and benefits should be weighed carefully in antibiotic prescription policies, as well as with individual patients.

Contemporary clinical and economic outcomes among oral anticoagulant treated and untreated elderly patients with atrial fibrillation: Insights from the United States Medicare database.

BACKGROUND: Oral anticoagulants (OACs) mitigate the risk of stroke in atrial fibrillation (AF) patients. OBJECTIVE: Elderly AF patients who were treated with OACs (apixaban, dabigatran, edoxaban, rivaroxaban, or warfarin) were compared against AF patients who were not treated with OACs with respect to their clinical and economic outcomes. METHODS: Newly diagnosed AF patients were identified between January 2013 and December 2017 in the Medicare database. Evidence of an OAC treatment claim on or after the first AF diagnosis was used to classify patients into treatment-defined cohorts, and these cohorts were further stratified based on the initial OAC prescribed. The risks of stroke/systemic embolism (SE), major bleeding (MB), and death were analyzed using inverse probability treatment weighted time-dependent Cox regression models, and costs were compared with marginal structural models. RESULTS: The two treatment groups were composed of 1,421,187 AF patients: OAC treated (N = 583,350, 41.0% [36.4% apixaban, 4.9% dabigatran, 0.1% edoxaban, 26.7% rivaroxaban, and 31.9% warfarin patients]) and untreated (N = 837,837, 59.0%). OAC-treated patients had a lower adjusted risk of stroke/SE compared to untreated patients (hazard ratio [HR]: 0.70; 95% confidence interval [CI]: 0.68-0.72). Additionally patients receiving OACs had a lower adjusted risk of death (HR: 0.56; 95% CI: 0.55-0.56) and a higher risk of MB (HR: 1.57; 95% CI: 1.54-1.59) and this trend was consistent across each OAC sub-group. The OAC-treated cohort had lower adjusted total healthcare costs per patient per month ($4,381 vs $7,172; p < .0001). CONCLUSION: For the OAC-treated cohort in this elderly US population, stroke/SE and all-cause death were lower, while risk of MB was higher. Among OAC treated patients, total healthcare costs were lower than those of the untreated cohort.

Influence of broader geographic allograft sharing on outcomes and cost in smaller lung transplant centers.

OBJECTIVE: On November 24, 2017, Organ Procurement and Transplantation Network implemented a change to lung allocation replacing donor service area with a 250 nautical mile radius around donor hospitals. We sought to evaluate the experience of a small to medium size center following implementation. METHODS: Patients (47 pre and 54 post) undergoing lung transplantation were identified from institutional database from January 2016 to October 2019. Detailed chart review and analysis of institutional cost data was performed. Univariate analysis was performed to compare eras. RESULTS: Similar short-term mortality and primary graft dysfunction were observed between groups. Decreased local donation (68% vs 6%; P < .001), increased travel distance (145 vs 235 miles; P = .004), travel cost ($8626 vs $14,482; P < .001), and total procurement cost ($60,852 vs $69,052; P = .001) were observed postimplementation. We also document an increase in waitlist mortality postimplementation (6.9 vs 31.6 per 100 patient-years; P < .001). CONCLUSIONS: Following implementation of the new allocation policy in a small to medium size center, several changes were in accordance with policy intention. However, concerning shifts emerged, including increased waitlist mortality and resource utilization. Continued close monitoring of transplant centers stratified by size and location are paramount to maintaining global availability of lung transplantation to all Americans regardless of geographic residence or socioeconomic status.

Decision tree outcome prediction of acute acetaminophen exposure in the United States: A study of 30,000 cases from the National Poison Data System.

Acetaminophen is one of the most commonly used analgesic drugs in the United States. However, the outcomes of acute acetaminophen overdose might be very serious in some cases. Therefore, prediction of the outcomes of acute acetaminophen exposure is crucial. This study is a 6-year retrospective cohort study using National Poison Data System (NPDS) data. A decision tree algorithm was used to determine the risk predictors of acetaminophen exposure. The decision tree model had an accuracy of 0.839, an accuracy of 0.836, a recall of 0.72, a specificity of 0.86 and an F1_score of 0.76 for the test group and an accuracy of 0.848, a recall of 0.85, a recall of 0.74, a specificity of 0.87 and an F1_score of 0.78 for the training group. Our results showed that elevated serum levels of liver enzymes, other liver function test abnormality, anorexia, acidosis, electrolyte abnormality, increased bilirubin, coagulopathy, abdominal pain, coma, increased anion gap, tachycardia and hypotension were the most important factors in determining the outcome of acute acetaminophen exposure. Therefore, the decision tree model is a reliable approach in determining the prognosis of acetaminophen exposure cases and can be used in an emergency room or during hospitalization.

Gaps in standardized postoperative pain management quality measures: A systematic review.

BACKGROUND: The goal of this study was an assessment of availability postoperative pain management quality measures and National Quality Forum-endorsed measures. Postoperative pain is an important clinical timepoint because poor pain control can lead to patient suffering, chronic opiate use, and/or chronic pain. Quality measures can guide best practices, but it is unclear whether there are measures for managing pain after surgery. METHODS: The National Quality Forum Quality Positioning System, Agency for Healthcare Research and Quality Indicators, and Centers for Medicare and Medicaid Services Measures Inventory Tool databases were searched in November 2019. We conducted a systematic literature review to further identify quality measures in research publications, clinical practice guidelines, and gray literature for the period between March 11, 2015 and March 11, 2020. RESULTS: Our systematic review yielded 1,328 publications, of which 206 were pertinent. Nineteen pain management quality measures were identified from the quality measure databases, and 5 were endorsed by National Quality Forum. The National Quality Forum measures were not specific to postoperative pain management. Three of the non-endorsed measures were specific to postoperative pain. CONCLUSION: The dearth of published postoperative pain management quality measures, especially National Quality Forum-endorsed measures, highlights the need for more rigorous evidence and widely endorsed postoperative pain quality measures to guide best practices.

Impact of opioid use disorder on resource utilization and readmissions after operative trauma.

BACKGROUND: Although patients with opioid use disorder have been shown to be more susceptible to traumatic injury, the impact of opioid use disorder after trauma-related admission remains poorly characterized. The present nationally representative study evaluated the association of opioid use disorder on clinical outcomes after traumatic injury warranting operative intervention. METHODS: The 2010 to 2018 Nationwide Readmissions Database was used to identify adult trauma victims who underwent major operative procedures. Injury severity was quantified using International Classification of Diseases Trauma Mortality Prediction Model. Entropy balancing was used to adjust for intergroup differences. Multivariable regression models were developed to assess the association of opioid use disorder on in-hospital mortality, perioperative complications, resource utilization, and readmissions. RESULTS: Of an estimated 5,089,003 hospitalizations, 54,097 (1.06%) had a diagnosis of opioid use disorder with increasing prevalence during the study period. Compared with others, opioid use disorder had a lower proportion of extremity injuries and falls but greater predicted mortality measured by Trauma Mortality Prediction Model. After adjustment, opioid use disorder was associated with decreased odds of in-hospital mortality (adjusted odds ratio: 0.61; 95% confidence interval, 0.53-0.70) but had greater likelihood of pneumonia, infectious complications, and acute kidney injury. Additionally, opioid use disorder was associated with longer hospitalization duration as well as greater index costs and risk of readmission within 30 days (adjusted odds ratio: 1.36; 95% confidence interval, 1.25-1.49). CONCLUSION: Opioid use disorder in operative trauma has significantly increased in prevalence and is associated with decreased in-hospital index mortality but greater resource utilization and readmission.

Nationwide Readmissions Analysis of Minimally Invasive Versus Open Ventral Hernia Repair: A Retrospective Population-Based Study.

INTRODUCTION: Minimally invasive ventral hernia repair (MISVHR) has been performed for almost 30 years; recently, there has been an accelerated adoption of the robotic platform leading to renewed comparisons to open ventral hernia repair (OVHR). The present study evaluates patterns and outcomes of readmissions for MISVHR and OVHR patients. METHODS: The Nationwide Readmissions Database (NRD) was queried for patients undergoing OVHR and MISVHR from 2016 to 2018. Demographic characteristics, complications, and 90-day readmissions were determined. A subgroup analysis was performed to compare robotic ventral hernia repair (RVHR) vs laparoscopic hernia repair (LVHR). Standard statistical methods and logistic regression were used. RESULTS: Over the 3-year period, there were 25 795 MISVHR and 180 635 OVHR admissions. Minimally invasive ventral hernia repair was associated with a lower rate of 90-day readmission (11.3% vs 17.3%, P < .01), length of stay (LOS) (4.0 vs 7.9 days, P < .01), and hospital charges ($68,240 ± 75 680 vs $87,701 ± 73 165, P < .01), which remained true when elective and non-elective repairs were evaluated independently. Postoperative infection was the most common reason for readmission but was less common in the MISVHR group (8.4% vs 16.8%, P < .01). Robotic ventral hernia repair increased over the 3-year period and was associated with decreased LOS (3.7 vs 4.1 days, P < .01) and comparable readmissions (11.3% vs 11.2%, P = .74) to LVHR, but was nearly $20,000 more expensive. In logistic regression, OVHR, non-elective operation, urban-teaching hospital, increased LOS, comorbidities, and payer type were predictive of readmission. CONCLUSIONS: Open ventral hernia repair was associated with increased LOS and increased readmissions compared to MISVHR. Robotic ventral hernia repair had comparable readmissions and decreased LOS to LVHR, but it was more expensive.

A Guide to Industry Payments and an Algorithm for Their Management.

BACKGROUND: The Open Payments database was created to increase transparency of industry payment relationships within medicine. The current literature often examines only 1 year of the database. In this study, the authors use 5 years of data to show trends among industry payments to plastic surgeons from 2014 to 2018. In addition, the authors lay out the basics of conflict-of-interest reporting for the new plastic surgeon. Finally, the authors suggest an algorithm for the responsible management of industry relationships. METHODS: This study analyzed nonresearch payments made to plastic surgeons from January 1, 2014, to December 31, 2018. Descriptive statistics were calculated using R Statistical Software and visualized using Tableau. RESULTS: A total of 304,663 payments totaling $140,889,747 were made to 8148 plastic surgeons; 41 percent ($58.28 million) was paid to 50 plastic surgeons in the form of royalty or license payments. With royalties excluded, average and median payments were $276 and $25. The average yearly total per physician was $2028. Of the 14 payment categories, 95 percent of the total amount paid was attributable payments in one of six categories. Seven hundred thirty companies reported payments to plastic surgeons from 2014 to 2018; 15 companies (2 percent) were responsible for 80 percent ($66.34 million) of the total sum paid. Allergan was responsible for $24.45 million (29.6 percent) of this amount. CONCLUSIONS: Although discussions on the proper management of industry relationships continue to evolve, the data in this study illustrate the importance of managing industry relationships. The simple guidelines suggested create a basis for managing industry relationships in the career of the everyday plastic surgeon.

Industry Payments to Plastic Surgeons, 2013 to 2018: Who's Getting Paid?

BACKGROUND: The Physician Payments Sunshine Act of 2010 mandated that all industry payments to physicians be publicly disclosed. To date, industry support of plastic surgeons has not been longitudinally characterized. The authors seek to evaluate payment trends from 2013 to 2018 and characteristics across plastic surgeon recipients of industry payments. METHODS: The authors cross-referenced those in the 2019 American Society of Plastic Surgeons member database with Centers for Medicare & Medicaid Services Open Payments database physician profile identification number indicating industry funds received within the study period. We categorized surgeons by years since American Board of Plastic Surgery certification, practice region, and academic affiliation. RESULTS: A sum of $89,436,100 (247,614 payments) was received by 3855 plastic surgeons. The top 1 percent of earners (n = 39) by dollar amount received 52 percent of industry dollars to plastic surgeons; of these, nine (23 percent) were academic. Overall, 428 surgeons (11 percent) were academic and received comparable dollar amounts from industry as their nonacademic counterparts. Neither geographic location nor years of experience were independent predictors of payments received. The majority of individual transactions were for food and beverage, whereas the majority of industry dollars were typically for royalties or license. CONCLUSIONS: Over half of all industry dollars transferred went to just 1 percent of American Society of Plastic Surgeons members receiving payments between 2013 and 2018. Considerable heterogeneity exists when accounting for payment subcategories.

The European Bioinformatics Institute (EMBL-EBI) in 2021.

The European Bioinformatics Institute (EMBL-EBI) maintains a comprehensive range of freely available and up-to-date molecular data resources, which includes over 40 resources covering every major data type in the life sciences. This year's service update for EMBL-EBI includes new resources, PGS Catalog and AlphaFold DB, and updates on existing resources, including the COVID-19 Data Platform, trRosetta and RoseTTAfold models introduced in Pfam and InterPro, and the launch of Genome Integrations with Function and Sequence by UniProt and Ensembl. Furthermore, we highlight projects through which EMBL-EBI has contributed to the development of community-driven data standards and guidelines, including the Recommended Metadata for Biological Images (REMBI), and the BioModels Reproducibility Scorecard. Training is one of EMBL-EBI's core missions and a key component of the provision of bioinformatics services to users: this year's update includes many of the improvements that have been developed to EMBL-EBI's online training offering.

Denoising Diffusion MRI via Graph Total Variance in Spatioangular Domain.

Diffusion MRI (DMRI) plays an essential role in diagnosing brain disorders related to white matter abnormalities. However, it suffers from heavy noise, which restricts its quantitative analysis. The total variance (TV) regularization is an effective noise reduction technique that penalizes noise-induced variances. However, existing TV-based denoising methods only focus on the spatial domain, overlooking that DMRI data lives in a combined spatioangular domain. It eventually results in an unsatisfactory noise reduction effect. To resolve this issue, we propose to remove the noise in DMRI using graph total variance (GTV) in the spatioangular domain. Expressly, we first represent the DMRI data using a graph, which encodes the geometric information of sampling points in the spatioangular domain. We then perform effective noise reduction using the powerful GTV regularization, which penalizes the noise-induced variances on the graph. GTV effectively resolves the limitation in existing methods, which only rely on spatial information for removing the noise. Extensive experiments on synthetic and real DMRI data demonstrate that GTV can remove the noise effectively and outperforms state-of-the-art methods.

Health care costs associated with hepatitis C virus infection in First Nations populations in Ontario: a retrospective matched cohort study.

BACKGROUND: Colonization and marginalization have affected the risk for and experience of hepatitis C virus (HCV) infection for First Nations people in Canada. In partnership with the Ontario First Nations HIV/AIDS Education Circle, we estimated the publicly borne health care costs associated with HCV infection among Status First Nations people in Ontario. METHODS: In this retrospective matched cohort study, we used linked health administrative databases to identify Status First Nations people in Ontario who tested positive for HCV antibodies or RNA between 2004 and 2014, and Status First Nations people who had no HCV testing records or only a negative test result (control group, matched 2:1 to case participants). We estimated total and net costs (difference between case and control participants) for 4 phases of care: prediagnosis (6 mo before HCV infection diagnosis), initial (after diagnosis), late (liver disease) and terminal (6 mo before death), until death or Dec. 31, 2017, whichever occurred first. We stratified costs by sex and residence within or outside of First Nations communities. All costs were measured in 2018 Canadian dollars. RESULTS: From 2004 to 2014, 2197 people were diagnosed with HCV infection. The mean net total costs per 30 days of HCV infection were $348 (95% confidence interval [CI] $277 to $427) for the prediagnosis phase, $377 (95% CI $288 to $470) for the initial phase, $1768 (95% CI $1153 to $2427) for the late phase and $893 (95% CI -$1114 to $3149) for the terminal phase. After diagnosis of HCV infection, net costs varied considerably among those who resided within compared to outside of First Nations communities. Net costs were higher for females than for males except in the terminal phase. INTERPRETATION: The costs per 30 days of HCV infection among Status First Nations people in Ontario increased substantially with progression to advanced liver disease and finally to death. These estimates will allow for planning and evaluation of provincial and territorial population-specific hepatitis C control efforts.

Trends in the use of cervical cancer screening tests in a large medical claims database, United States, 2013-2019.

OBJECTIVE: To examine trends in the use of cervical cancer screening tests during 2013-2019 among commercially insured women. METHODS: The study population included women of all ages with continuous enrollment each year in the IBM MarketScan commercial or Medicare supplemental databases and without known history of cervical cancer or precancer (range = 6.9-9.8 million women per year). Annual cervical cancer screening test use was examined by three modalities: cytology alone, cytology plus HPV testing (cotesting), and HPV testing alone. Trends were assessed using 2-sided Poisson regression. RESULTS: Use of cytology alone decreased from 34.2% in 2013 to 26.4% in 2019 among women aged 21-29 years (P < .0001). Among women aged 30-64 years, use of cytology alone decreased from 18.9% in 2013 to 8.6% in 2019 (P < .0001), whereas cotesting use increased from 14.9% in 2013 to 19.3% in 2019 (P < .0001). Annual test use for HPV testing alone was below 0.5% in all age groups throughout the study period. Annually, 8.7%-13.6% of women aged 18-20 years received cervical cancer screening. There were persistent differences in screening test use by metropolitan residence and census regions despite similar temporal trends. CONCLUSIONS: Temporal changes in the use of cervical cancer screening tests among commercially insured women track changes in clinical guidelines. Screening test use among individuals younger than 21 years shows that many young women are inappropriately screened for cervical cancer.