Racial Inequities in Mortality Rate in Hospitalized Children.

BACKGROUND AND OBJECTIVES: Racial/ethnic inequities for inpatient mortality in children at a national level in the U.S. have not been explored. The objective of this study was to evaluate differences in inpatient mortality rate among different racial/ethnic groups, using the Kids' Inpatient Database. METHODS: A cross-sectional study of children of ages greater than 28 days and less than 21 years discharged during 2012 and 2016. Racial/ethnic groups - White, Black, Hispanic, Asian and Pacific Islander and Native Americans were analyzed in two cohorts, Cohort A (all discharges) and Cohort B (ventilated children). RESULTS: A total of 4,247,604 and 79,116 discharges were included in cohorts A and B, respectively. Univariate analysis showed that the inpatient mortality rate was highest among Asian and Pacific Islander children for both cohorts: A (0.47% [0.42-0.51]), B (10.9% [9.8-12.1]). Regression analysis showed that Asian and Pacific Islander and Black children had increased odds of inpatient mortality compared to White children: A (1.319 [1.162-1.496], 1.178 [1.105-1.257], respectively) and B (1.391 [1.199-1.613], 1.163 [1.079-1.255], respectively). Population-based hospital mortality was highest in Black children (1.17 per 10,000 children). CONCLUSIONS: Inpatient mortality rates are significantly higher in U.S. children of Asian and Pacific Islander and Black races compared to White children. U.S. population-based metrics such as hospitalization rate, ventilation rate, and hospital mortality rate are highest in Black children. Our data suggest that lower median household income alone may not account for a higher inpatient mortality rate. The causes and prevention of racial and ethnic inequities in hospitalized children need to be explored further.

Racial/Ethnic disparities in the chains of morbid events leading to death: network analysis of US multiple cause of death data.

Multiple-cause-of-death data have not yet been applied to the study of racial/ethnic differences in causal chains of events leading to death, nor they have been used to examine racial/ethnic disparities in cause-of-death certification. We use publicly available 2019 US death certificate data to reassemble chains of morbid events leading to death. From them, we construct and analyze directed multiple cause of death networks by race and sex of deaths aged 60+. Three perspectives to measure disparities are employed: (i) relative prevalence of cause-of-death-pairs, (ii) strength of associations between diseases, (iii) similarities in transition matrices. Non-Hispanic Blacks (NHB) had overall lower prevalence of cause of death pairs, Hispanics (HIS) were burdened more by alcohol-related mortality and Asian and Pacific Islanders (API) exceeded in transitions to cerebrovascular diseases. Lower similarity was observed in transitions to external causes of death, dementia and Alzheimer's disease, pulmonary heart diseases, interstitial respiratory diseases, and diseases of the liver. After excluding rare diseases, the similarity further decreased for ill-defined conditions, diabetes mellitus, other cardiovascular diseases, diseases of the pleura, and anemia. To sum up, races/ethnicities not only vary in structure and timing of death but they differ in morbid processes leading to death as well.

Racial and ethnic disparities in monthly trends in alcohol-induced mortality among US adults from January 2018 through December 2021.

Background: Historically, American Indians/Alaska Natives (AIANs), Blacks, and Hispanics have experienced higher alcohol-induced mortality rates. Given a disproportionate surge in unemployment rate and financial strain among racial and ethnic minorities and limited access to alcohol use disorder treatment during the COVID-19 pandemic, it is essential to examine monthly trends in alcohol-induced mortality in the United States during the pandemic.Objectives: This study estimates changes in monthly alcohol-induced mortality among US adults by age, sex, and race/ethnicity.Methods: Using monthly deaths from 2018-2021 national mortality files (N = 178,201 deaths, 71.5% male, 28.5% female) and census-based monthly population estimates, we calculated age-specific monthly alcohol-induced death rates and performed log-linear regression to derive monthly percent increases in mortality rates.Results: Alcohol-induced deaths among adults aged ≥25 years increased by 25.7% between 2019 (38,868 deaths) and 2020 (48,872 deaths). During 2018-2021, the estimated monthly percent change was higher for females (1.1% per month) than males (1.0%), and highest for AIANs (1.4%), followed by Blacks (1.2%), Hispanics (1.0%), non-Hispanic Whites (1.0%), and Asians (0.8%). In particular, between February 2020 and January 2021, alcohol-induced mortality increased by 43% for males, 53% for females, 107% for AIANs, the largest increase, followed by Blacks (58%), Hispanics (56%), Asians (44%), and non-Hispanic Whites (39%).Conclusions: During the peak months of the pandemic, the rising trends in alcohol-induced mortality differed substantially by race and ethnicity. Our findings indicate that behavioral and policy interventions and future investigation on underlying mechanisms should be considered to reduce alcohol-induced mortality among Blacks and AIANs.

Contemporary trends in mortality related to high-risk pulmonary embolism in US from 1999 to 2019.

BACKGROUND: Population-based data on high-risk pulmonary embolism (PE) mortality trends in the United States (US) are scant. OBJECTIVES: To assess current trends in US mortality related to high-risk PE over the past 21 years and determine differences by sex, race, ethnicity, age and census region. METHODS: Data were extracted from the Centers for Disease Control and Prevention (CDC) Wide-ranging ONline Data for Epidemiologic Research (WONDER) to determine trends in age-adjusted mortality rates (AAMR) per 100,000 people, due to high-risk PE. To calculate nationwide annual trends, we assessed the average (AAPC) and annual percent change (APC) with relative 95 % confidence intervals (CIs) using Joinpoint regression. RESULTS: Between 1999 and 2019, high-risk PE was listed as the underlying cause of death in 209,642 patients, corresponding to an AAMR of 3.01 per 100,000 people (95 % CI: 2.99 to 3.02). AAMR from high-risk PE remained stable from 1999 to 2007 [APC: -0.2 %, (95 % CI: -2.0 to 0.5, p = 0.22)] and then significantly increased [APC: 3.1 % (95 % CI: 2.6 to 3.6), p < 0.0001], especially in males [AAPC: 1.9 % (95 % CI: 1.4 to 2.4), p < 0.001 vs AAPC: 1.5 % (95 % CI: 1.1 to 2.2), p < 0.001]. AAMR increase was more pronounced in those <65 years, Black Americans, and residents of rural areas. CONCLUSIONS: In an US population analysis, high-risk PE mortality rate increased, with racial, sex-based, and regional variations. Further studies are needed to understand root causes for these trends and to implement appropriate corrective strategies.

Excess Mortality and Years of Potential Life Lost Among the Black Population in the US, 1999-2020.

Importance: Amid efforts in the US to promote health equity, there is a need to assess recent progress in reducing excess deaths and years of potential life lost among the Black population compared with the White population. Objective: To evaluate trends in excess mortality and years of potential life lost among the Black population compared with the White population. Design, setting, and participants: Serial cross-sectional study using US national data from the Centers for Disease Control and Prevention from 1999 through 2020. We included data from non-Hispanic White and non-Hispanic Black populations across all age groups. Exposures: Race as documented in the death certificates. Main outcomes and measures: Excess age-adjusted all-cause mortality, cause-specific mortality, age-specific mortality, and years of potential life lost rates (per 100 000 individuals) among the Black population compared with the White population. Results: From 1999 to 2011, the age-adjusted excess mortality rate declined from 404 to 211 excess deaths per 100 000 individuals among Black males (P for trend <.001). However, the rate plateaued from 2011 through 2019 (P for trend = .98) and increased in 2020 to 395-rates not seen since 2000. Among Black females, the rate declined from 224 excess deaths per 100 000 individuals in 1999 to 87 in 2015 (P for trend <.001). There was no significant change between 2016 and 2019 (P for trend = .71) and in 2020 rates increased to 192-levels not seen since 2005. The trends in rates of excess years of potential life lost followed a similar pattern. From 1999 to 2020, the disproportionately higher mortality rates in Black males and females resulted in 997 623 and 628 464 excess deaths, respectively, representing a loss of more than 80 million years of life. Heart disease had the highest excess mortality rates, and the excess years of potential life lost rates were largest among infants and middle-aged adults. Conclusions and relevance: Over a recent 22-year period, the Black population in the US experienced more than 1.63 million excess deaths and more than 80 million excess years of life lost when compared with the White population. After a period of progress in reducing disparities, improvements stalled, and differences between the Black population and the White population worsened in 2020.

Serum 25-hydroxyvitamin D concentrations are inversely associated with all-cause mortality among Koreans: a nationwide cohort study.

Evidence on the association between serum 25-hydroxyvitamin D (25(OH)D) concentration and all-cause and cause-specific mortality in Asians, especially Koreans, is limited. We hypothesized that high concentrations of 25(OH)D are associated with lower all-cause and cause-specific mortality in the general Korean population. This study included 27,846 adults participating in the Fourth and Fifth Korean National Health and Nutrition Examination Survey 2008-2012, followed up through December 31, 2019. Hazard ratios (HR) and 95% confidence intervals (CIs) for mortality from all causes, cardiovascular disease (CVD), and cancer were estimated using multivariable-adjusted Cox proportional hazards regression. The weighted mean serum 25(OH)D of study participants was 17.77 ng/mL; 66.5% had vitamin D deficiency (<20 ng/mL) and 94.2% had insufficient vitamin D (<30 ng/mL). During a median follow-up of 9.4 years (interquartile range, 8.1-10.6 years), 1680 deaths were documented, including 362 CVD deaths and 570 cancer deaths. Serum 25(OH)D levels ≥30 ng/mL were inversely associated with all-cause mortality (HR, 0.57; 95% CI, 0.43-0.75) compared with serum 25(OH)D levels <10 ng/mL. Based on the quartile cutoffs of serum 25(OH)D concentration, the highest quartile of serum 25(OH)D concentration (≥21.8 ng/mL) was associated with the lowest all-cause mortality (HR, 0.72; 95% CI, 0.60-0.85; P trend < .001), and CVD mortality (HR, 0.60; 95% CI, 0.42-0.85; P trend = .006). No association with cancer mortality outcome was found. In conclusion, higher serum 25(OH)D levels were associated with lower all-cause mortality in the general Korean population. An additional association was found between higher quartile of serum 25(OH)D and lower CVD mortality.

Black Representation in the Primary Care Physician Workforce and Its Association With Population Life Expectancy and Mortality Rates in the US.

Importance: Studies have suggested that greater primary care physician (PCP) availability is associated with better population health and that a diverse health workforce can improve care experience measures. However, it is unclear whether greater Black representation within the PCP workforce is associated with improved health outcomes among Black individuals. Objective: To assess county-level Black PCP workforce representation and its association with mortality-related outcomes in the US. Design, Setting, and Participants: This cohort study evaluated the association of Black PCP workforce representation with survival outcomes at 3 time points (from January 1 to December 31 each in 2009, 2014, and 2019) for US counties. County-level representation was defined as the ratio of the proportion of PCPs who identifed as Black divided by the proportion of the population who identified as Black. Analyses focused on between- and within-county influences of Black PCP representation and treated Black PCP representation as a time-varying covariate. Analysis of between-county influences examined whether, on average, counties with increased Black representation exhibited improved survival outcomes. Analysis of within-county influences assessed whether counties with higher-than-usual Black PCP representation exhibited enhanced survival outcomes during a given year of heightened workforce diversity. Data analyses were performed on June 23, 2022. Main Outcomes and Measures: Using mixed-effects growth models, the impact of Black PCP representation on life expectancy and all-cause mortality for Black individuals and on mortality rate disparities between Black and White individuals was assessed. Results: A combined sample of 1618 US counties was identified based on whether at least 1 Black PCP operated within a county during 1 or more time points (2009, 2014, and 2019). Black PCPs operated in 1198 counties in 2009, 1260 counties in 2014, and 1308 counties in 2019-less than half of all 3142 Census-defined US counties as of 2014. Between-county influence results indicated that greater Black workforce representation was associated with higher life expectancy and was inversely associated with all-cause Black mortality and mortality rate disparities between Black and White individuals. In adjusted mixed-effects growth models, a 10% increase in Black PCP representation was associated with a higher life expectancy of 30.61 days (95% CI, 19.13-42.44 days). Conclusions and Relevance: The findings of this cohort study suggest that greater Black PCP workforce representation is associated with better population health measures for Black individuals, although there was a dearth of US counties with at least 1 Black PCP during each study time point. Investments to build a more representative PCP workforce nationally may be important for improving population health.

Can Early Disadvantage Be Overcome? A Life Course Approach to Understanding How Disadvantage, Education, and Social Integration Impact Mortality into Middle Adulthood Among a Black American Cohort.

Health equity research has identified fundamental social causes of health, many of which disproportionately affect Black Americans, such as early life socioeconomic conditions, neighborhood disadvantage, and racial discrimination. However, the role of life course factors in premature mortality among Black Americans has not been tested extensively in prospective samples into later adulthood. To better understand how social factors at various life stages impact mortality, this study examines the effect of life course poverty, neighborhood disadvantage, and discrimination on mortality and factors that may buffer their effect (i.e., education, social integration) among the Woodlawn cohort (N = 1242), a community cohort of urban Black Americans followed since 1966. Taking a life course perspective, we analyze mortality data for deaths through age 58 years old, as well as data collected at ages 6, 16, 32, and 42. At age 58, 204 (16.4%) of the original cohort have died, with ages of death ranging from 9 to 58.98 (mean = 42.9). Cox proportional hazard models adjusting for confounders show statistically significant differences in mortality risk based on timing and persistence of poverty; those who were never poor or poor only in early life had lower mortality risk at ages 43-58 than those who were persistently poor from childhood to adulthood. Education beyond high school and high social integration were shown to reduce the risk of mortality more for those who did not experience poverty early in their life course. Findings have implications for the timing and content of mortality prevention efforts that span the full life course.

Trends in nasopharyngeal cancer mortality in the United States, 1999-2020.

OBJECTIVES: The incidence of nasopharyngeal cancer (NPC) has been declining in the United States (US) in recent years. However, little is known about the latest trends in NPC mortality in the US population. This study aimed to examine the trends in NPC mortality rate by age, sex, race and ethnicity and US Census Region from 1999 to 2020. METHODS: Mortality data were extracted from the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research (WONDER) database. Decedents whose cause of death was NPC were identified using the International Classification of Diseases Codes, 10th Revision: C11.0-C11.9. Trends in age adjusted mortality rates (AAMR) from NPC were assessed using a joinpoint regression model. Annual Percentage Changes (APC) and Average Annual Percentage Changes were examined overall and by age, sex, race and ethnicity and census region. RESULTS: From 1999 through 2020, a total of 14 534 NPC deaths were recorded in the US (AAMR = 0.2 per 100 000; 95% CI: 0.2, 0.2). Overall trends remained stationary throughout the study period. Since 2006, recent trends declined by 6.1% per year (95% CI: -8.4, -3.7) among Non-Hispanic Whites, and by 2.7% per year among Non-Hispanic Blacks, Asians/Pacific Islanders and Hispanics. Trends either stabilized or declined by sex, age and US Census Region. Similar results were obtained when the analysis was restricted to decedents aged 65 years and above. CONCLUSIONS: Stationary or declining trends in NPC mortality could be due to the falling incidence of the disease and/or advances in medical diagnosis and treatment. Considering the enigmatic nature of NPC, future studies should explore the genetic and sociodemographic factors associated with the trends reported in this study.

The epidemiological burden of reducing salt intake in Paraguay: A modeling study / A carga epidemiológica da redução do sal no Paraguai: um estudo de modelagem

ABSTRACT Objective This study aims to estimate the epidemiological burden of excessive salt intake reduction and achieve the World Health Organization salt reduction target for 2025 in Paraguay, in 2019. Methods We used the Preventable Risk Integrated Model, a comparative risk assessment macro-simulation model, to estimate the averted deaths, disease incidence, and disability-adjusted life years from cardiovascular disease attributable to salt intake in the population of Paraguay for different salt reduction policy scenarios. Results As a result, in Paraguay, excessive salt intake (over 5 g/day) is responsible for approximately 2,656 cardiovascular disease deaths (95% Uncertainty Interval: 1,250-3,765), 4,816 cardiovascular disease cases (95% UI: 2,251-6,947), and 60,529 disability-adjusted life years (95% UI: 27,828-86,258) per year. By reducing salt consumption by 30%, as recommended by the World Health Organization until 2025, approximately 1,188 deaths (95% UI: 520 to 1,820), 2,100 incident cases (95% UI: 923-3,234), and 27,272 disability-adjusted life years (95% UI: 11,999-41,675) from cardiovascular disease could be averted every year. Conclusion In conclusion, the burden of cardiovascular disease attributable to excessive salt intake is significant and salt reduction policies must become a priority in Paraguay.

RESUMO Objetivo Este estudo visa estimar a carga epidemiológica do consumo excessivo de sal e o alcance da meta da Organização Mundial de Saúde para 2025 no Paraguai, em 2019. Métodos Foi usado um modelo de avaliação comparativa de risco (Preventable Risk Integrated Model) para análise comparativa de risco para estimar mortes, casos incidentes e anos de vida ajustados por incapacidade (DALYs) por doenças cardiovasculares atribuíveis ao consumo excessivo de sal na população paraguaia em diferentes cenários. Resultados No Paraguai, o consumo excessivo de sal é responsável por aproximadamente 2.656 mortes (Intervalo de Incerteza 95%: 1.250-3.765), 4.816 casos incidentes (95% II: 2.251-6.947) e 60.529 DALYs (95% II: 27.828-86.258) por doenças cardiovasculares por ano. Com uma redução de 30% no consumo de sal, como recomendado pela Organização Mundial de Saúde até 2025, aproximadamente 1.188 mortes (95% II: 520-1.820), 2.100 casos incidentes (95% II: 923-3.234) e 27.272 DALYs (95% II: 11.999-41.675) por doenças cardiovasculares poderiam ser prevenidos ou adiados por ano. Conclusão Concluiu-se que a carga de doenças cardiovasculares atribuível ao consumo excessivo de sal no Paraguai é significante e políticas de redução deveriam ser priorizadas no país.

Mortalidad atribuida al consumo de tabaco en España: Revisión sistemática / Smoking-attributable mortality in Spain: A systematic review

La mortalidad atribuida (MA) al consumo de tabaco es un indicador que refleja la evolución de la epidemia tabáquica a nivel poblacional. El objetivo de este trabajo es identificar y describir los estudios publicados que hayan estimado MA al consumo de tabaco en España. Se realizó una búsqueda en las bases de datos de PubMed y EMBASE de los trabajos publicados hasta el 15/04/2021. Se incluyeron estudios que estimaron MA en España ensu conjunto o en unidades territoriales. Se identificaron 146 estudios y 22cumplieron los criterios de elegibilidad. La primera estimación de MA en España data de 1978 y la última de 2017. En 12 estudios se estimó la MA a nivel nacional, 8 en comunidades autónomas, 1 a nivel provincial y 1 en una ciudad. La mayoría de estimaciones se realizaron en adultos mayores de 34años categorizados como fumadores, exfumadores y nunca fumadores. La mortalidad observada derivó en todos los estudios de registros oficiales y los riesgos relativos mayoritariamente del Cancer Prevention Study II. En el periodo analizado se observó una disminución en la carga de MA en relación con la mortalidad total. En España se dispone de estimaciones de MA a nivel global, pero no tienen periodicidad regular y es infrecuente que se realicen en unidades territoriales. Debido a variaciones en la metodología y en las fuentes de datos es difícil evaluar de forma precisa cambios en la MA. Sería necesario disponer de estimaciones periódicas globales y regionales para monitorizar correctamente la epidemia tabáquica en España. (AU)

Smoking-attributable mortality (SAM) is an indicator that reflects the evolution of the tobacco epidemic at the population level. The objective of this study is to identify and to describe published studies that have estimated SAM in Spain. A search in PubMed and EMBASE databases was performed, limited to studies published until April 15th, 2021. Studies that estimated SAM in Spain or its constituent regions were included. Of the 146 studies identified, 22 met eligibility criteria. The first estimate of SAM in Spain dates from 1978 and the last from 2017. Twelve of the studies found estimated SAM at national level, 8 in regions, 1 in a province and 1 in a city. Most estimates were made for adults aged over 34, categorized as smokers, ex-smokers and never smokers. Observed mortality derived, in all studies, from official records, and relative risks mostly from Cancer Prevention StudyII. In the period analyzed, a decrease in the burden of SAM was observed. In Spain, different SAM estimates are available globally, but they do not haveregular periodicity, and such estimates are infrequently made by region. Dueto variations in methodology and data sources, it is difficult to assess changesin SAM. Having global and regional periodic estimates would be necessary to correctly monitor the tobacco epidemic in Spain. (AU)

Dynamics of racial disparities in all-cause mortality during the COVID-19 pandemic.

As research documenting disparate impacts of COVID-19 by race and ethnicity grows, little attention has been given to dynamics in mortality disparities during the pandemic and whether changes in disparities persist. We estimate age-standardized monthly all-cause mortality in the United States from January 2018 through February 2022 for seven racial/ethnic populations. Using joinpoint regression, we quantify trends in race-specific rate ratios relative to non-Hispanic White mortality to examine the magnitude of pandemic-related shifts in mortality disparities. Prepandemic disparities were stable from January 2018 through February 2020. With the start of the pandemic, relative mortality disadvantages increased for American Indian or Alaska Native (AIAN), Native Hawaiian or other Pacific Islander (NHOPI), and Black individuals, and relative mortality advantages decreased for Asian and Hispanic groups. Rate ratios generally increased during COVID-19 surges, with different patterns in the summer 2021 and winter 2021/2022 surges, when disparities approached prepandemic levels for Asian and Black individuals. However, two populations below age 65 fared worse than White individuals during these surges. For AIAN people, the observed rate ratio reached 2.25 (95% CI = 2.14, 2.37) in October 2021 vs. a prepandemic mean of 1.74 (95% CI = 1.62, 1.86), and for NHOPI people, the observed rate ratio reached 2.12 (95% CI = 1.92, 2.33) in August 2021 vs. a prepandemic mean of 1.31 (95% CI = 1.13, 1.49). Our results highlight the dynamic nature of racial/ethnic disparities in mortality and raise alarm about the exacerbation of mortality inequities for Indigenous groups due to the pandemic.

Trends in Cancer Mortality Among Black Individuals in the US From 1999 to 2019.

Importance: Cancer is the second leading cause of mortality in the US. Despite national decreases in cancer mortality, Black individuals continue to have the highest cancer death rates. Objective: To examine national trends in cancer mortality from 1999 to 2019 among Black individuals by demographic characteristics and to compare cancer death rates in 2019 among Black individuals with rates in other racial and ethnic groups. Design, Setting, and Participants: This serial cross-sectional study used US national death certificate data obtained from the National Center for Health Statistics and included all cancer deaths among individuals aged 20 years or older from January 1999 to December 2019. Data were analyzed from June 2021 to January 2022. Exposures: Age, sex, and race and ethnicity. Main Outcomes and Measures: Trends in age-standardized mortality rates and average annual percent change (AAPC) in rates were estimated by cancer type, age, sex, and race and ethnicity. Results: From 1999 to 2019, 1 361 663 million deaths from cancer occurred among Black individuals. The overall cancer death rate significantly decreased among Black men (AAPC, -2.6%; 95% CI, -2.6% to -2.6%) and women (AAPC, -1.5%; 95% CI, -1.7% to -1.3%). Death rates decreased for most cancer types, with the greatest decreases observed for lung cancer among men (AAPC, -3.8%; 95% CI, -4.0% to -3.6%) and stomach cancer among women (AAPC, -3.4%; 95% CI, -3.6% to -3.2%). Lung cancer mortality also had the largest absolute decreases among men (-78.5 per 100 000 population) and women (-19.5 per 100 000 population). We observed a significant increase in deaths from liver cancer among men (AAPC, 3.8%; 95% CI, 3.0%-4.6%) and women (AAPC, 1.8%; 95% CI, 1.2%-2.3%) aged 65 to 79 years. There was also an increasing trend in uterus cancer mortality among women aged 35 to 49 years (2.9%; 95% CI, 2.3% to 2.6%), 50 to 64 years (2.3%; 95% CI, 2.0% to 2.6%), and 65 to 79 years (1.6%; 95% CI, 1.2% to 2.0%). In 2019, Black men and women had the highest cancer mortality rates compared with non-Hispanic American Indian/Alaska Native, Asian or Pacific Islander, and White individuals and Hispanic/Latino individuals. Conclusions and Relevance: In this cross-sectional study, there were substantial decreases in cancer death rates among Black individuals from 1999 to 2019, but higher cancer death rates among Black men and women compared with other racial and ethnic groups persisted in 2019. Targeted interventions appear to be needed to eliminate social inequalities that contribute to Black individuals having higher cancer mortality.

Racial/ethnic disparities in hepatocellular carcinoma incidence and mortality rates in the United States, 1992-2018.

BACKGROUND AND AIMS: HCC is characterized by racial/ethnic disparities in rates. Recent USA reports suggest that incidence has begun to decline, but it is not clear whether the declines have occurred among all groups, nor whether mortality has declined. Thus, the current study examined USA incidence and mortality between 1992 and 2018. APPROACH & RESULTS: HCC incidence and incidence-based mortality data from the Surveillance, Epidemiology, and End Results program were used to calculate age-standardized rates by race/ethnicity, sex, and age. Trends were analyzed using joinpoint regression to estimate annual percent change (APC). Age-period-cohort models assessed the effects on trends of age, calendar period, and birth cohort. Overall, HCC incidence significantly declined between 2015 and 2018 (APC, -5.6%). Whereas most groups experienced incidence declines, the trends were most evident among Asians/Pacific Islanders, women, and persons <50 years old. Exceptions were the rates among non-Hispanic Black persons, which did not significantly decline (APC, -0.7), and among American Indians/Alaska Natives, which significantly increased (APC, +4.3%). Age-period-cohort modeling found that birth cohort had a greater effect on rates than calendar period. Among the baby boom cohorts, the 1950-1954 cohort had the highest rates. Similar to the overall incidence decline, HCC mortality rates declined between 2013 and 2018 (APC, -2.2%). CONCLUSIONS: HCC incidence and mortality rates began to decline for most groups in 2015, but persistent differences in rates continued to exist. Rates among non-Hispanic Black persons did not decline significantly, and rates among American Indians/Alaska Natives significantly increased, suggesting that greater effort is needed to reduce the HCC burden among these vulnerable groups.

Mortality Rates Among U.S. Women of Reproductive Age, 1999-2019.

INTRODUCTION: High and increasing levels of pregnancy-related mortality and morbidity in the U.S. indicate that the underlying health status of reproductive-aged women may be far from optimal, yet few studies have examined mortality trends and disparities exclusively among this population. METHODS: All-cause and cause-specific mortality data for 1999-2019 were obtained from the Centers for Disease Control and Prevention WONDER Underlying Cause of Death database. Levels and trends in mortality between 1999 and 2019 for women aged 15-44 years stratified by age, race/ethnicity, and state were examined. Given the urgent need to address pregnancy-related health disparities, the correlation between all-cause and pregnancy-related mortality rates across states for the years 2015-2019 was also examined. RESULTS: Age-adjusted, all-cause mortality rates among women aged 15-44 years improved between 2003 and 2011 but worsened between 2011 and 2019. The recent increase in mortality among this age group was not driven solely by increases in external causes of death. Patterns differed by age, race/ethnicity, and geography, with non-Hispanic American Indian and Alaskan Native women having 2.3 and non-Hispanic Black women having 1.4 times the risk of all-cause mortality in 2019 compared with that of non-Hispanic White women. Age-adjusted all-cause mortality rates and pregnancy-related mortality rates were strongly correlated at the state level (r=0.75). CONCLUSIONS: Increasing mortality among reproductive-aged women has substantial implications for maternal, women's, and children's health. Given the high correlation between pregnancy-related mortality and all-cause mortality at the state level, addressing the structural factors that shape mortality risks may have the greatest likelihood of improving women's health outcomes across the life course.

Plant-based diets and incident cardiovascular disease and all-cause mortality in African Americans: A cohort study.

BACKGROUND: Prior studies have documented lower cardiovascular disease (CVD) risk among people with a higher adherence to a plant-based dietary pattern. Non-Hispanic black Americans are an understudied group with high burden of CVD, yet studies of plant-based diets have been limited in this population. METHODS AND FINDINGS: We conducted an analysis of prospectively collected data from a community-based cohort of African American adults (n = 3,635) in the Jackson Heart Study (JHS) aged 21-95 years, living in the Jackson, Mississippi, metropolitan area, US, who were followed from 2000 to 2018. Using self-reported dietary data, we assigned scores to participants' adherence to 3 plant-based dietary patterns: an overall plant-based diet index (PDI), a healthy PDI (hPDI), and an unhealthy PDI (uPDI). Cox proportional hazards models were used to estimate associations between plant-based diet scores and CVD incidence and all-cause mortality. Over a median follow-up of 13 and 15 years, there were 293 incident CVD cases and 597 deaths, respectively. After adjusting for sociodemographic characteristics (age, sex, and education) and health behaviors (smoking, alcohol intake, margarine intake, physical activity, and total energy intake), no significant association was observed between plant-based diets and incident CVD for overall PDI (hazard ratio [HR] 1.06, 95% CI 0.78-1.42, p-trend = 0.72), hPDI (HR 1.07, 95% CI 0.80-1.42, p-trend = 0.67), and uPDI (HR 0.95, 95% CI 0.71-1.28, p-trend = 0.76). Corresponding HRs (95% CIs) for all-cause mortality risk with overall PDI, hPDI, and uPDI were 0.96 (0.78-1.18), 0.94 (0.76-1.16), and 1.06 (0.86-1.30), respectively. Corresponding HRs (95% CIs) for incident coronary heart disease with overall PDI, hPDI, and uPDI were 1.09 (0.74-1.61), 1.11 (0.76-1.61), and 0.79 (0.52-1.18), respectively. For incident total stroke, HRs (95% CIs) for overall PDI, hPDI, and uPDI were 1.00 (0.66-1.52), 0.91 (0.61-1.36), and 1.26 (0.84-1.89) (p-trend for all tests > 0.05). Limitations of the study include use of self-reported dietary intake, residual confounding, potential for reverse causation, and that the study did not capture those who exclusively consume plant-derived foods. CONCLUSIONS: In this study of black Americans, we observed that, unlike in prior studies, greater adherence to a plant-based diet was not associated with CVD or all-cause mortality.

Medicaid expansion and variability in mortality in the USA: a national, observational cohort study.

BACKGROUND: The expansion of the Medicaid public health insurance programme has varied by state in the USA. Longer-term mortality and factors associated with variability in outcomes after Medicaid expansion are under-studied. We aimed to investigate the association of state Medicaid expansion with all-cause mortality. METHODS: This was a population-based, national, observational cohort study capturing all reported deaths among adults aged 25-64 years via death certificate data in the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database in the USA from Jan 1, 2010, to Dec 31, 2018. We obtained national demographic and mortality data for adults aged 25-64 years, and state-level demographics and 2010-18 mortality estimates for the overall population by linking federally maintained registries (CDC WONDER, Behavioral Risk Factor Surveillance System, Health Resources and Services Administration, US Census Bureau, and Bureau of Labor Statistics). States were categorised as Medicaid expansion or non-expansion states as classified by the Kaiser Family Foundation. Multivariable difference-in-differences analysis assessed the absolute difference in the annual, state-level, all-cause mortality per 100 000 adults after Medicaid expansion. FINDINGS: Among 32 expansion states and 17 non-expansion states, Medicaid expansion was associated with reductions in all-cause mortality (-11·8 deaths per 100 000 adults [95% CI -21·3 to -2·2]). There was variability in changes in all-cause mortality associated with Medicaid expansion by state (ranging from -63·8 deaths per 100 000 adults [95% CI -134·1 to -42·9] in Delaware to 30·4 deaths per 100 000 adults [-39·8 to 51·4] in New Mexico). State-level proportions of women (-17·8 deaths per 100 000 adults [95% CI -26·7 to -8·8] for each percentage point increase in women residents) and non-Hispanic Black residents (-1·4 deaths per 100 000 adults [-2·4 to -0·3] for each percentage point increase in non-Hispanic Black residents) were associated with greater adjusted reductions in all-cause mortality among expansion states. INTERPRETATION: After 4 years of implementation, Medicaid expansion remains associated with significant reductions in all-cause mortality, but reductions are variable by state characteristics. These results could inform policy makers to provide broad-based equitable improvements in health outcomes. FUNDING: University of Southern California Research Center for Liver Diseases.

Demographic and Regional Trends of Mortality in Patients With Acute Myocardial Infarction in the United States, 1999 to 2019.

Acute myocardial infarction (AMI)-related mortality has been decreasing within the United States because of improvements in management and preventive efforts; however, persistent disparities in demographic subsets such as race may exist. In this study, the nationwide trends in mortality related to AMI in adults in the United States from 1999 to 2019 are described. Trends in mortality related to AMI were assessed through a cross-sectional analysis of the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database. Age-adjusted mortality rates per 100,000 people and associated annual percentage change and average annual percentage changes with 95% confidence intervals (CIs) were determined. Joinpoint regression was used to assess the trends in the overall, demographic (gender, race/ethnicity, age), and regional groups. Between 1999 and 2019, a total of 3,655,274 deaths related to AMI occurred. In the overall population, age-adjusted mortality rates decreased from 134.7 (95% CI 134.2 to 135.3) in 1999 to 48.5 (95% CI 48.3 to 48.8) in 2019 with an average annual percentage change of -5.0 (95% CI -5.5 to -4.6). Higher mortality rates were seen in Black individuals, men, and those living in the South. Patients older than 85 years experienced substantial decreases in mortality. In addition, rural counties had persistently higher mortality rates in comparison with urban counties. In conclusion, despite decreasing mortality rates in all groups, persistent disparities continued to exist throughout the study period.

Association of Incarceration With Mortality by Race From a National Longitudinal Cohort Study.

Importance: The association between incarceration and long-term mortality risk is unknown and may contribute to racial disparities in overall life expectancy. Objective: To determine whether incarceration in the US is associated with an increase in mortality risk and whether this association is different for Black compared with non-Black populations. Design, Setting, and Participants: This generational retrospective cohort study used data from the National Longitudinal Survey of Youth 1979, a nationally representative cohort of noninstitutionalized youths aged 15 to 22 years, from January 1 to December 31, 1979, with follow-up through December 31, 2018. A total of 7974 non-Hispanic Black and non-Hispanic non-Black participants were included. Statistical analysis was performed from October 26, 2019, to August 31, 2021. Exposures: Time-varying exposure of having experienced incarceration during follow-up. Main Outcomes and Measures: The main outcome was time to death. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% CIs, adjusted for baseline sociodemographic, economic, and behavioral risk factors. Models were evaluated for the full cohort and stratified by race. Results: Of the 7974 individuals included in our sample, 4023 (50.5%) were male, and 2992 (37.5%) identified as Black (median age, 18 [IQR, 17-20] years). During a median follow-up of 35 years (IQR, 33-37 years), 478 participants were incarcerated and 818 died. Unadjusted exposure to at least 1 incarceration between 22 and 50 years of age was 11.5% (95% CI, 10.4%-12.7%) for Black participants compared with 2.5% (95% CI, 2.1%-2.9%) for non-Black participants. In the multivariable Cox proportional hazards model with the full cohort, time-varying exposure to incarceration was associated with an increased mortality rate (adjusted HR [aHR], 1.35; 95% CI, 0.97-1.88), a result that was not statistically significant. In the models stratified by race, incarceration was significantly associated with increased mortality among Black participants (aHR, 1.65; 95% CI, 1.18-2.31) but not among non-Black participants (aHR, 1.17; 95% CI, 0.68-2.03). Conclusions and Relevance: In this cohort study with 4 decades of follow-up, incarceration was associated with a higher mortality rate among Black participants but not among non-Black participants. These findings suggest that incarceration, which was prevalent and unevenly distributed, may have contributed to the lower life expectancy of the non-Hispanic Black population in the US.

Racial/Ethnic Differences in 30-Day Mortality for Heart Failure and Pneumonia in the Veterans Health Administration Using Claims-based, Clinical, and Social Risk-adjustment Variables.

BACKGROUND: Prior studies have identified lower mortality in Black Veterans compared with White Veterans after hospitalization for common medical conditions, but these studies adjusted for comorbid conditions identified in administrative claims. OBJECTIVES: The objectives of this study were to compare mortality for non-Hispanic White (hereafter, "White"), non-Hispanic Black (hereafter, "Black"), and Hispanic Veterans hospitalized for heart failure (HF) and pneumonia and determine whether observed mortality differences varied according to whether claims-based comorbid conditions and/or clinical variables were included in risk-adjustment models. RESEARCH DESIGN: This was an observational study. SUBJECTS: The study cohort included 143,520 admissions for HF and 127,782 admissions for pneumonia for Veterans hospitalized in 132 Veterans Health Administration (VA) Medical Centers between January 2009 and September 2015. MEASURES: The primary independent variable was racial/ethnic group (ie, Black, Hispanic, and non-Hispanic White), and the outcome was all-cause mortality 30 days following admission. To compare mortality by race/ethnicity, we used logistic regression models that included different combinations of claims-based, clinical, and sociodemographic variables. For each model, we estimated the average marginal effect (AME) for Black and Hispanic Veterans relative to White Veterans. RESULTS: Among the 143,520 (127,782) hospitalizations for HF (pneumonia), the average patient age was 71.6 (70.9) years and 98.4% (97.1%) were male. The unadjusted 30-day mortality rates for HF (pneumonia) were 7.2% (11.0%) for White, 4.1% (10.4%) for Black and 8.4% (16.9%) for Hispanic Veterans. Relative to White Veterans, when only claims-based variables were used for risk adjustment, the AME (95% confidence interval) for the HF [pneumonia] cohort was -2.17 (-2.45, -1.89) [0.08 (-0.41, 0.58)] for Black Veterans and 1.32 (0.49, 2.15) [4.51 (3.65, 5.38)] for Hispanic Veterans. When clinical variables were incorporated in addition to claims-based ones, the AME, relative to White Veterans, for the HF [pneumonia] cohort was -1.57 (-1.88, -1.27) [-0.83 (-1.31, -0.36)] for Black Veterans and 1.50 (0.71, 2.30) [3.30 (2.49, 4.11)] for Hispanic Veterans. CONCLUSIONS: Compared with White Veterans, Black Veterans had lower mortality, and Hispanic Veterans had higher mortality for HF and pneumonia. The inclusion of clinical variables into risk-adjustment models impacted the magnitude of racial/ethnic differences in mortality following hospitalization. Future studies examining racial/ethnic disparities should consider including clinical variables for risk adjustment.