Centers For Disease Control Research Articles

EFFECT OF SEX AND AGE ON SURVIVAL OF ADULT CULEX TARSALIS FROM A SUSCEPTIBLE LABORATORY STRAIN EXPOSED TO PERMETHRIN IN THE CDC BOTTLE BIOASSAY

ABSTRACT This study investigates the effect of mosquito sex and age on the survival and resistance determination of adult Culex tarsalis exposed to permethrin, a pyrethroid commonly used for mosquito control, using the Centers for Disease Control and Prevention (CDC) bottle bioassay method. A permethrin-susceptible strain of Cx. tarsalis (Bakersfield strain) was used in this study. Survival was compared for young adult females (2–5 days old) relative to older adult females (7–10 days old) and separately for female and male mosquitoes of the same age (2–5 days old). Mortality was slightly higher for males than females during the first observation period (0–5 min) following permethrin exposure, and higher for older females relative to younger females from 5 to 10 min following permethrin exposure, with no differences in mortality by either sex or age for observation periods during the remainder of the diagnostic period. When evaluated over the full diagnostic period, survival varied with mosquito age but not sex. However, all mosquitoes, regardless of sex or age, died within the 30-min diagnostic period for this species, confirming their permethrin susceptibility per the CDC bottle bioassay. This research contributes valuable insight into the potential impact of sex and age on mosquito susceptibility to insecticides in the context of insecticide resistance determination.

Trends in Sickle Cell Disease Mortality: 1979–2020

BACKGROUND AND OBJECTIVES: Although sickle cell disease (SCD)-related childhood mortality in the United States significantly improved in the 1990s, unclear is the trend in SCD-related mortality more recently given the continued disparities faced by this minoritized population. In this analysis, we aimed to (1) compare the overall and age-specific mortality rates from 1999 to 2009 vs 2010 to 2020 with a particular focus on the age of transition and (2) determine the most common causes of death for the US SCD population for 2010 to 2020. METHODS: We analyzed publicly available data from the Centers for Disease Control and Prevention WONDER database, a compilation of national-level mortality statistics from 1979 to 2020 derived from death certificates compiled by the National Center for Health Statistics. We searched by all individuals of all ethnicities, sexes, and ages using the underlying cause of death. RESULTS: The crude mortality rate for individuals with SCD for 2010 to 2020 was 1.6 per 1 000 000 individuals, which was significantly lower than the period 1999 to 2009 (crude rate 1.7 per 1 000 000, P < .0001). In addition, the mean age at mortality of those with SCD was older in 2010 to 2020 (43 years) versus 1999 to 2009 (39 years). However, there remains a significant increase in mortality rate in the 20 to 24 year age group versus 15 to 19 years (1.7 per 1 000 000 versus 0.7 per 1 000 000, P < .0001), corresponding with the age of transition from pediatric to adult centers. In addition, 39% of underlying causes of death were not caused by SCD, but rather primarily chronic conditions, including cardiovascular, cerebrovascular, malignancy, and renal disease. The study has several limitations mostly because of the imperfections of administrative data sources, including inaccuracies in diagnoses codes, risking over or undercounting. CONCLUSIONS: Although the US SCD-related mortality rate continues to decrease, the age of transition to adult care is a particularly vulnerable time in the lives of this marginalized group. Innovative and expanded approaches to care are greatly needed.

Trends in Hepatocellular Carcinoma Mortality Rates in the US and Projections Through 2040

ImportanceThe burden of liver cancer varies worldwide. An upward trend in both hepatocellular carcinoma (HCC) incidence and mortality in the past 2 decades has been observed.ObjectiveTo assess observed HCC-related age-standardized mortality rates (ASMRs) in the US for 2006 to 2022 and provide ASMR projections through 2040.Design, Setting, and ParticipantsThis cross-sectional study used data from the National Vital Statistics System, which is accessible through the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research website. Data on deaths attributed to HCC (from January 1, 2006, to December 31, 2022) were obtained for adults 25 years or older and were stratified by liver disease etiology, age, sex, and race and ethnicity. Etiologies included alcohol-associated liver disease (ALD), hepatitis B virus (HBV), hepatitis C virus (HCV), and metabolic dysfunction–associated steatotic liver disease (MASLD).Main Outcomes and MeasuresThe main outcomes were (1) observed ASMRs of HCC per 100 000 persons using Joinpoint regression (National Cancer Institute) to assess trends during 2006 to 2022 and (2) ASMRs projected for 2023 to 2040 using Prophet and AutoARIMA modeling.ResultsThis study included 188 280 HCC-related deaths from 2006 to 2022. Most deaths occurred among males (77.4%). The annual percentage change was 4.1% (95% CI, 2.2% to 7.7%) for 2006 to 2009 and decreased to 1.8% (95% CI, 0.7% to 2.0%) for 2009 to 2022, with an overall observed ASMR of 5.03 per 100 000 persons in 2022 and a projected ASMR of 6.39 per 100 000 persons by 2040, with consistent trends for both sexes. By etiology, ASMRs decreased for HCV- and HBV-related mortality but increased for ALD- and MASLD-related mortality. In 2022, MASLD surpassed HBV as the third-leading cause of HCC-related death and was projected to overtake HCV in 2032 as the second-leading cause; ALD was projected to be the leading cause of HCC-related death in 2026. In 2022, the ASMR was higher among individuals aged 65 years or older compared with those aged 25 to 64 years (18.37 vs 1.79 per 100 000 persons). The American Indian or Alaska Native population had the largest increase in projected ASMR by 2040 (14.71 per 100 000 persons) compared with the Asian population (3.03 per 100 000 persons).Conclusions and RelevanceIn this cross-sectional study, ASMRs for ALD- and MASLD-related HCC death increased rapidly from 2006 to 2022; ALD-related HCC was projected to be the leading cause by 2026, with MASLD as the second-leading cause by 2032. These findings may serve as a reference for public health decision-making and timely identification of groups at high risk of HCC death.

Development and validation of an Arabic tool for assessment of post-vaccination confidence in COVID-19 vaccines (ARAB-VAX-CONF)

Abstract Background Vaccine confidence is described as a belief that vaccines are effective, safe, and part of a trustworthy health system. The objective of this study was to develop and validate an Arabic tool to evaluate confidence in the received coronavirus disease 2019 (COVID-19) vaccines (ARAB-VAX-CONF). Methods The research team developed the ARAB-VAX-CONF based on three areas specified by the Centers for Disease Control and Prevention (CDC): confidence in vaccine effectiveness, confidence in vaccine safety, and confidence in the healthcare system. The analysis includes data from 406 eligible vaccinated persons (≥ 18 years). Cronbach’s alpha was used to measure internal consistency, while convergent, discriminant, exploratory, and confirmatory factor analyses were used to verify construct validity. Results A total of 406 adults were recruited, with a mean age of 33.0 ± 12.2 years. A total of 63.1% were males, 56.7% were married, 21.9% had chronic conditions, 93.3% were nonsmokers, and 39.6% were obligated to obtain vaccines. The three domains of the scale met the criterion of internal consistency (Cronbach’s alpha > 0.7). Convergent validity was identified by the significant inter-item and item-mean score of the domain correlation (P < 0.001). Discriminant validity was reported as the inter-factor correlation matrix (< 0.7). The Kaiser–Meyer–Olkin sampling adequacy measure was 0.80, and Bartlett’s sphericity test was significant (P < 0.001). Exploratory factor analysis indicated that the scale could be summarized into three factors. Confirmatory factor analysis confirmed the adequate psychometric properties and fit with observed data (root-mean-square error of approximation = 0.08, comparative fit index = 0.945, Tucker-Lewis index = 0.924, standardized root-mean-square residual = 0.086, normed fit index = 0.918, and goodness-of-fit index = 0.909). Conclusions The ARAB-VAX-CONF developed in this study is valid and reliable for assessing confidence in vaccine effectiveness, safety, and confidence in the healthcare system. The ARAB-VAX-CONF can support decision-makers in addressing the gap in vaccine confidence among various populations.

The Promotion of Non-Communicable Disease Screening in Gurage Zone, Ethiopia: A Mixed-Method Study

Background: Despite the high non-communicable disease (NCD) mortality in Ethiopia, NCD screening in the country remains suboptimal. This study assessed the health communication process and materials designed to promote NCD screening among adult primary healthcare facility attendants in the Gurage Zone, Ethiopia. Methods: A parallel mixed-methods approach was employed. Seven health communication materials were evaluated using the Modified Clear Communication Index Score by the Center for Disease Control and Prevention (CDC). Seven key informants who were involved in the production were interviewed to explore the process. Users’ satisfaction with the materials was assessed through a cross-sectional survey (N = 412). We used multivariable logistic regression with SPSS version 27 software to determine the factors associated with users’ satisfaction. Thematic analysis was applied for the qualitative data analysis using Opencode 4.03 software. Results: Qualitative interviews indicated that the production process relied on evidence, involved stakeholders, and included pretesting. The CDC index score revealed that five of the seven materials were considered clear and user-friendly, whereas two required improvement. Overall users’ satisfaction with the material was high with a mean score of 22.10 (SD ± 2.34; min: 14, max: 25). Age and educational status had significant positive association with users’ satisfaction. Conclusions: Developing health communication materials on promoting NCD screening based on evidence, stakeholders’ input, and pretesting can lead to good quality material and user satisfaction. We recommend future research works to measure changes in NCD screening service uptake as a result of using the health communication materials considered in this study.

Embracing Controversy: A Second Look at CDC Reform Efforts in the Wake of COVID-19.

Addressing criticism that the agency's Covid-19 response was lacking, the US Centers for Disease Control and Prevention (CDC) has proposed internal agency reforms intended to improve its performance during the next pandemic. They are aimed at improving surveillance and analytic capacity and agency communications. This essay, via a counterfactual analysis of the CDC's proposed reforms, asks how, if completed in advance of Covid-19, they might have changed outcomes in four cases of guidance controversy during the pandemic. CDC planned reforms, though they have merit, are predicated on the ability to come to "scientific closure" in a highly charged political environment. To improve outcomes in a future pandemic, the agency should consider how it plans to communicate with the public when recovering from error and when addressing controversy spurred by criticism from credible experts. However, the ability of future presidents to limit CDC performance and communications in the next pandemic and the lack of political consensus around the value of independent public health expertise threaten the agency's reform goals.

Impact of Expanded HIV Testing and Rapid Antiretroviral Therapy Initiation in Southwest China: An Interrupted Time-Series Analysis.

This study evaluates the impact of an expanded HIV testing initiative, launched in June 2018 in Luzhou, Sichuan, China, on antiretroviral therapy (ART) initiation rates among people living with HIV (PLWH). Using an uncontrolled interrupted time-series design, we analyzed data from 11,040 PLWH between June 2016 and December 2022, extracted from 108 health facilities via the Center for Disease Control and Prevention's ART database. The primary outcome measures were ART initiation rates within 7 and 30 days of HIV diagnosis. Results showed a significant improvement in the 30-day ART initiation rate following expanded testing, increasing from 46.1% to 90.9% by the study's end. The 7-day initiation rate also improved but remained below 30%. The study found that expanded testing enhanced the role of primary health care institutions in ART initiation. However, the COVID-19 pandemic, beginning January 2020, negatively impacted ART initiation rates, with a slight effect on 30-day rates but a persistent negative impact on 7-day rates. Despite these challenges and an increased HIV burden, Luzhou's ART initiation rates surpassed the national average. This study emphasizes the effectiveness of expanded HIV testing in ensuring timely ART access, crucial for HIV epidemic control, and improved patient outcomes. It also reveals challenges in maintaining HIV services during public health crises, offering insights into health care system resilience. Future research should focus on evaluating long-term treatment outcomes and strategies to support ending the AIDS epidemic.

Disparities in Vaccination Amongst Socially Vulnerable Patients with Inflammatory Bowel Disease.

Social determinants of health (SDOH) have a known impact on disparities in vaccination. Despite an increased risk for infection in patients with inflammatory bowel disease (IBD), SDOH and vaccination in this population have not been studied. Using census tract-level data from the Centers for Disease Control's social vulnerability index (SVI), we aimed to understand the relationship between SDOH and adherence to guideline-recommended vaccinations in patients with IBD. A single-center retrospective cohort of patients with IBD was used to geocode patient addresses to their individual census tract and corresponding SVI and subthemes (Socioeconomic Status, Household Composition, Minority Status, and Housing/Transportation). We used separate multivariable logistic regressions to examine the relationship between SVI and vaccination against influenza, COVID-19, pneumococcal pneumonia, and herpes zoster. A total of 7,036 patients were included. Rates of vaccination varied across vaccine-types: influenza (57%), COVID-19 (65%), pneumococcal pneumonia (58%), and herpes zoster (11%). High social vulnerability was associated with lower odds of vaccination against influenza (OR 0.47, p < 0.001), COVID-19 (OR 0.54, p < 0.001), pneumonia (OR 0.73, p = 0.012), and herpes zoster (OR 0.39, p < 0.001). Within the SVI subthemes, Socioeconomic Status, Household Composition, and Minority Status were important factors associated with differences in vaccine uptake. Higher social vulnerability was associated with lower rates of vaccination across all vaccine types. Identifying these disparities in vaccination for socially vulnerable patients with IBD is the first step to reducing preventable infections and ensuring all patients receive high quality, equitable care.

Frequency and risk factors of nosocomial infections in atrauma center: acase study from the Beni Suef University Hospital, Egypt.

Hospital-acquired infections (HAI) cause asignificant risk to patient maintenance and wellbeing, particularly within the specialized environment of atrauma center. This study focuses on investigating the frequency of HAI in atrauma center through acomprehensive surveillance and monitoring system. This observational study, conducted between January 2023 and June 2023, focused on the 16-bed trauma center. HAI diagnoses were based on the centers for disease control and prevention (CDC) definitions that typically include specific criteria for different types of infections, for example, urinary tract infections, surgical site infections, bloodstream infections, and others. Among the 160 trauma center-admitted patients, 89were included in the study. 44patients contracted HAI, resulting in afrequency of 49.4%. The incidence rates (IR) were 21/1000 central venous catheter (CVC) days for catheter-related bloodstream infections (CRBSI), 10/100 urinary catheter days for catheter-associated urinary tract infections (CAUTI), and 34/1000 ventilator days for ventilator-associated pneumonia (VAP). The HAI percentages noticed in the trauma center are comparatively lower than those reported in other developing country hospitals. The incidence of VAP aligns with findings from other studies.

Identifying the geographic leading edge of Lyme disease in the United States with internet searches: A spatiotemporal analysis of Google Health Trends data.

The geographic footprint of Lyme disease is expanding in the United States, which calls for novel methods to identify emerging endemic areas. The ubiquity of internet use coupled with the dominance of Google's search engine makes Google user search data a compelling data source for epidemiological research. We evaluated the potential of Google Health Trends to track spatiotemporal patterns in Lyme disease and identify the leading edge of disease risk in the United States. We analyzed internet search rates for Lyme disease-related queries at the designated market area (DMA) level (n = 206) for the 2011-2019 and 2020-2021 (COVID-19 pandemic) periods. We used maps and other exploratory methods to characterize changes in search behavior. To assess statistical correlation between searches and Lyme disease cases reported to Centers for Disease Control and Prevention (CDC) between 2011 and 2019, we performed a longitudinal ecological analysis with modified Poisson generalized estimating equation regression models. Mapping DMA-level changes in "Lyme disease" search rates revealed an expanding area of higher rates occurring along the edges of the northeastern focus of Lyme disease. Bivariate maps comparing search rates and CDC-reported incidence rates also showed a stronger than expected signal from Google Health Trends in some high-risk adjacent states such as Michigan, North Carolina, and Ohio, which may be further indication of a geographic leading edge of Lyme disease that is not fully apparent from routine surveillance. Searches for "Lyme disease" were a significant predictor of CDC-reported disease incidence. Each 100-unit increase in the search rate was significantly associated with a 10% increase in incidence rates (RR = 1.10, 95% CI: 1.07, 1.12) after adjusting for environmental covariates of Lyme disease identified in the literature. Google Health Trends data may help track the expansion of Lyme disease and inform the public and health care providers about emerging risks in their areas.

Abstract 4143228: Uncovering Hidden Disparities in Surgical Mortality among Texas Medicaid-Insured Infants with Critical Congenital Heart Disease

Background: Data shows that publicly insured patients with critical congenital heart disease (CCHD) have higher surgical mortality than privately insured patients. However, little is known about disparities within Medicaid-insured cohorts. We hypothesized that disparities in surgical mortality exist within the Medicaid population, with the highest mortality being among the most socially vulnerable patients. Methods: We conducted a retrospective cohort study using Texas Birth Defects Registry records of infants with CCHD born 2010-2014 who underwent cardiac surgery &lt;1 year old (CCHDs). Patients with CCHD as defined by the Centers for Disease Control or ductal dependent anatomy were included, and records for study inclusion were reviewed by a pediatric cardiologist. Cases were linked with death certificates and the Medicaid database, and Medicaid patients were stratified into Primary (PM) and Secondary (SM) cohorts. The PM cohort was comprised of patients with the highest scores (most socioeconomically vulnerable) based on the census tract derived Social Vulnerability Index (SVI). The primary predictor was race/ethnicity and primary outcome was infant mortality. Descriptive sociodemographics were analyzed using chi-square. Infant mortality was analyzed using stratified univariable Cox Proportional-Hazards models. Results: We identified 2525 infants with CCHD S , of whom 14.5% had PM and 56.9% had SM. The Medicaid-cohort had more single ventricle, chromosomal, and extracardiac defects than the Non-Medicaid (NM) cohort (p&lt;0.0001). Compared to the SM cohort, CCHD S infants with PM were more likely to be born preterm, and be born to mothers who are non-White, have &lt; a high school education (p&lt;0.0001, respectively), and who drove further to surgical facility (p&lt;0.005). Cox regression showed no racial/ethnic mortality disparities in the PM cohort. In the SM cohort, infant mortality was 2.2x higher among Black patients (HR 2.21, CI 1.41-3.45). In the NM cohort, Hispanic patients had nearly 2x (HR 1.93, CI 1.12-3.33) and Black patients had 3x (HR 3.01, CI 1.42-5.96) higher risk of infant mortality than White CCHDs infants. Conclusions: We completed one of the largest analyses of Medicaid-insured CCHD S infants using a novel SVI stratification. Despite worse SVI, racial/ethnic disparities in CCHD S mortality were not observed among PM-insured patients. Future database work should include stratified Medicaid populations to accurately interpret outcomes in patients with CCHD.

Trends in the Mortality and Death of Periviable Preterm Infants in the United States, 2011 to 2020.

This study aimed to examine the trends in the infant mortality rate (IMR) and the trends in the timing of death among periviable preterm infants at 22 to 24 weeks' gestational age (GA) in the United States from 2011 to 2020. Retrospective, serial cross-sectional analysis of periviable preterm infants born in the United States at 22 to 24 weeks' GA using the linked birth/infant death records from the Centers for Disease Control and Prevention. Data were analyzed from 2011 to 2020. The exposure was the year of death, and the outcome was the changes over time in the IMR and the timing of death. Further, we evaluated racial differences in the timing of death. We used nonparametric trend analysis to evaluate changes in mortality rate across the study period. The IMR was inversely related to GA, and for each GA and race/ethnicity, the IMR significantly declined during the study period. The IMR rate was highest in the first 7 days of life for all GAs and races/ethnicities. While Non-Hispanic White infants had a higher infant neonatal mortality rate than non-Hispanic Black infants, non-Hispanic Black infants had a higher postneonatal mortality rate. The IMR among periviable infants born at 22 to 24 weeks' GA improved for all GAs and races in the United States between 2011 and 2020. However, significant racial differences in the timing of death exist. · As expected, the IMR was inversely related to gestational age at 22 to 24 weeks.. · At each gestational age and for each racial/ethnic group, the overall IMR decreased during the study period.. · Non-Hispanic White infants had a higher neonatal mortality rate, whereas non-Hispanic Black infants had a higher postneonatal mortality rate..

Abstract 4117310: Alcohol-Related Cardiomyopathy - Exploration of Recent Mortality Trends in the United States

Introduction: Data is accumulating regarding the contemporary trends of mortality rates in patients with alcohol-related cardiomyopathy across the United States. Hypothesis: We hypothesized that with increased awareness about the adverse effects of alcohol on the cardiovascular system and the advancement of echocardiography in the early diagnosis of alcoholic cardiomyopathy, mortality rates may show a downward trend. Methods: This is a retrospective observational study that retrieved death certificates from the CDC WONDER (Center for Disease Control and Prevention’s Wide-ranging ONline Data for Epidemiological Research) database from 2001-2020. The mortality rate of alcohol-related cardiomyopathy using ICD code I42.6 (Alcoholic cardiomyopathy) was studied from 2001-2020. This study duration was further subdivided into five-year periods. We calculated the crude mortality rate and age-adjusted mortality rate per 100,000 for four U.S census regions (CR-1 Northeast, CR-2 Midwest, CR-3 South, CR-4 West). Results: The overall age-adjusted mortality rate remained at 0.1/100,000 deaths in four U.S census regions until 2015; however, in the last five years of the study period, AAMR(age-related mortality rate) increased from 0.1 to 0.2/100,000 deaths. Conclusions: The mortality trends associated with alcohol-related cardiomyopathy have not changed significantly over the past two decades. This can be explained by the larger number of people developing alcoholic cardiomyopathy due to the increase in global alcohol use in addition to the fact that more diagnosed patients are receiving earlier treatment with goal-directed medical therapy for cardiomyopathy. Limitations of this study include intrinsic weakness of the WONDER dataset (changes with ICD-9 to ICD-10 codes, and potentially miscoding) which needs further research. Discussion: This suggests that while mortality rates associated with alcohol-related cardiomyopathy remained relatively steady for most of the study period, there was a concerning uptick in the latter years. This could prompt further investigation into potential factors contributing to this increase, despite advancements in awareness and diagnostic techniques.

Abstract 4132212: Trends in Atrial Fibrillation or Flutter Related Mortality Among Adults in the United States: Insights from CDC WONDER Database from 1999-2020

Background: Atrial fibrillation or flutter (Afib/AFL) incidence rates continue to rise and are linked to significant mortality, particularly in older populations. Our analysis examines Afib/AFL mortality trends across different demographics and regions in the U.S. from 1999 to 2020, highlighting the importance of understanding these patterns. Aim: To guide preventive measures that alleviate the impact of Afib/AFL and identify high-risk populations and regions, we sought to quantify trends associated with Afib/AFL related mortality in the U.S. Methods: We conducted a comprehensive search of death certificates from 1999-2020 using Centers for Disease Control and Prevention Wide-Ranging OnLine Data for Epidemiologic Research (CDC WONDER) database focusing on Afib/AFL mortality in adults with ICD-10 codes I48. Gender, race, geographical and urban-rural parameters were investigated by calculating annual percent change (APC) and age-adjusted mortality rates (AAMRs) per 100,000 persons using the Joinpoint Regression Program (Joinpoint V 4.9.0.0, National Cancer Institute). Results: A total of 2,581,488 deaths occurred in patients with Afib/AFL from 1999 to 2020. The AAMR displayed an abrupt rise from 2018 to 2020 (APC: 8.51; 95% CI: 4.84-10.47). Men consistently exhibited a higher AAMR (overall AAMR male: 79.4, 95% CI 79.3-79.6; female: 60.8, 95% CI 60.7-60.9). Non-metropolitan areas showed higher AAMRs than metropolitan areas (overall AAMR non-metropolitan areas: 74.9, 95% CI 74.7-75.1; metropolitan: 67.2, 95% CI 67.1-67.2). Disparities were also observed in AAMRs by region with the West region showing the highest mortality rate with a notable rise between 2010 and 2020 (APC: 3.70, 95% CI 3.30-5.37). Non-hispanic (NH) White population showed the highest mortality (overall AAMR: 74.2, 95% CI 74.1-74.3), followed by NH American Indian (AAMR: 50.3), NH Black (AAMR: 45.8), NH Asian (AAMR: 35.0) and Hispanic (AAMR: 37.9) populations. Conclusion: Mortality from Afib/AFL has risen from 1999 to 2020. Men, NH white populations, and residents in non-metropolitan areas and Western U.S. are at higher risk. Targeted interventions and strategic healthcare resource allocation are needed to address these disparities and improve outcomes.

Abstract 4138275: Demographic, Regional, and State-level Trends of Mortality in patients with Atrial fibrillation in the United States, 1999 to 2020

Background: There exists a paucity of data regarding mortality trends among individuals with atrial fibrillation (AF) based on age, gender, race and ethnicity, and geographic regions. Objective: To investigate the trends in mortality in the United States (US) associated with AF among individuals aged ≥45 years. Methods: We reviewed the death certificate data from the Centers for Disease Control and Prevention (CDC) Wide-ranging Online Data for Epidemiologic Research (WONDER) database to examine atrial fibrillation–related mortality trends from 1999 to 2020 in individuals ≥45 years of age. We calculated crude and age adjusted mortality rates (AAMRs) per 100 000 patients and annual percentage change (APC) with 95% CIs. Results: Between 1999 and 2020, 2,576,839 AF-related deaths were identified among US adults over 45 years of age. The age adjusted mortality rate (AAMR) for AF-related deaths rose significantly from 70.6 in 1999 to 149.1 in 2020. Initially, the AAMR remained stable from 1999 to 2009 (APC): 2.31; 95% CI: -0.57 to 5.84), then increased significantly from 2009 to 2018 (APC: 3.60; 95% CI: 2.12 to 4.75), and saw a sharp rise from 2018 to 2020 (APC: 8.46; 95% CI: 4.76 to 10.44). There were notable disparities among demographic groups. Men consistently had higher AAMRs than women from 1999 (men: 79.9, women: 64.4) to 2020 (men: 180.5, women: 125.3). Non-Hispanic (NH) White adults had the highest AAMR (108.6), followed by NH American Indian/Alaska Native (73.4), NH Black (66.7), Hispanic or Latino (55.5), and NH Asian or Pacific Islander adults (51.2). The age group 85+ consistently showed the highest mortality rates throughout the study period. Regional differences were also evident, with the residents of western region (109.5) and nonmetropolitan areas (109.6) having the higher AAMRs when compared to other regions (Midwest: 104.3, Northeast: 95.1, and South: 95.0) and metropolitan areas (98.3), respectively. State-level variations were also significant. Conclusion: Our study found a rise in AF-related mortality in the US from 1999 to 2020, with significant disparities among demographic and geographic subgroups. Higher AAMRs were noted in males, non-Hispanic Whites, adults over 85, and residents of the western and nonmetropolitan US. Addressing disparities in access to quality care, timely diagnosis, insurance maintenance, and implementing targeted health policies can help reduce AF-related mortality.

Abstract 4122048: Disparities in Heart Failure-Related Mortality Among Reproductive-Aged Women in the United States from 1999 to 2019

Introduction: Heart failure (HF) majorly affects the elderly, but can also affect the younger population. This study aims to examine the trends of HF-related deaths among reproductive-aged women in the United States (US). Method: We conducted a retrospective analysis using the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database, extracting data through ICD-10 codes I11, I13.0, I13.2, and I50 to find HF-related deaths among women aged 15-44 from 1999 to 2019. We examined demographic disparities in HF mortality rates over time, considering age, ethnicity, and geographic areas. Results were reported as age-adjusted mortality rate (AAMR) and 95% confidence interval (CI). Joinpoint regression assessed trend changes and annual percentage change (APC). Results: Between 1999 and 2019, a total of 43,683 women aged 15-44 died from HF in the US, with an AAMR of 3.5 per 100,000 (95% CI: 3.5-3.5). The AAMR increased from 2.6 in 1999 to 4.8 in 2019. Non-Hispanic Black women had the highest AAMR at 10.2, while Hispanics had the lowest at 1.8. Geographically, the South was the most affected region with an AAMR of 4.6, contributing to nearly half (48.9%) of all deaths. States including Massachusetts, Oregon, New Hampshire, and Minnesota had the lowest AAMRs. Rural areas showed a higher AAMR compared to urban areas (4.4 Vs. 3.3). The age group (35-44) accounted for the majority of deaths (73.7%). Conclusion: HF-related mortality among reproductive-aged women increased from 1999 to 2019, with the highest burden among non-Hispanic Black women and those in the Southern region. Enhancing access to care, particularly in rural areas, and implementing targeted prevention programs are vital to reducing mortality rates.

Abstract 4139135: Trends in Stroke Related Mortality in Atrial Fibrillation Patients Aged 25 and Older in the United States: Insights from the CDC WONDER Database

Background: Stroke associated with atrial fibrillation (AF) is a significant cause of mortality. This CDC analysis delves into mortality trends due to stroke in AF patients aged ≥ 25 years, from 1999 to 2020. By analyzing extensive datasets we scrutinized how factors such as gender, race, region of residence, and level of urbanization intersect with mortality rates. Methods: Death data from 1999 to 2020 was analyzed using the Centers for Disease Control and Prevention database, employing ICD codes I48 for AF and I64 for stroke. Age-adjusted mortality rate (AAMR) per 100,000 people with 95% confidence intervals was calculated for the total population, stratified by gender, race, urban/rural status, and census region. The Joinpoint regression software was used to calculate annual percentage change (APC) trend for each stratification. Results: In the U.S. between 1999 and 2020, total of 331,106 deaths occurred among adults due to AF associated with stroke. Deaths occurred predominantly in medical facilities (43.2%). The overall AAMR for AF associated stroke decreased from 26.8 per 100,000 in 1999 to 18.4 in 2020, with an AAPC of -2.05 (p value &lt; 0.000001). Additionally, AAMR declined significantly from 1999 to 2018 (APC: -2.65, p value = 0.012398), followed by an increase from 2018 to 2020 (APC: 3.90, p value = 0.220356). Women had slightly higher AAMRs compared to men (men: 6.6; women: 7.1). The AAMR for women reduced substantially from 1999 to 2020 than for men. AAMRs varied among racial/ethnic groups, with White patients having the highest AAMR (7.4), followed by Blacks (5.4), American Indian or Alaska Natives (4.6), Asian or Pacific Islanders (4.5), and Hispanic population (4.1). AAMRs decreased for all races except for Black population. Geographically, AAMRs ranged from 4.3 in Nevada to 11.9 in Vermont, with the Western region showing the highest mortality (AAMR: 7.9). Nonmetropolitan areas had slightly higher AAMRs than metropolitan areas, with both experiencing a decrease over the study period. Conclusion: This analysis depicts significant disparities in mortality rates attributed to stroke associated with AF and underscores the need for larger population-based studies to further understand the primary factors influencing the observed geographical, racial, and gender differences. Targeted interventions and equitable healthcare access are crucial to mitigate these disparities and improve outcomes for this population.

Abstract 4131228: Where Adults with Advanced Heart Failure Die: Insights from the CDC-WONDER Database

Background: Adults with heart failure (HF) are becoming more and more prevalent. The location of death and related disparities in these patients are poorly understood. Aim: The purpose of the study was to look at the locations of adult deaths from HF and identify any age, race, or ethnicity-related variations over a 25-year period. Methods: The Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research Database provided death certificate data and the National Center for Health Statistics provided individual-level mortality data for the trend-level analysis of adults aged (20-64 and 65+ years) conducted from 1999-2023. Hospital, home, hospice and nursing home/long-term care were the categories for the places of death. Results: Between 1999 and 2023, a total of 7,644,759 adult deaths from HF were recorded (87.9% White, 53.4% female). HF-related deaths decreased from 1999 (3.60% and 143.6 AAMR) to 2010 (3.47% and 123.1 AAMR). From 2010 onwards, a gradual rise is seen, with the rate of HF deaths reaching 5.18% and 168.1 AAMR in 2023. Notably, deaths at home increased from 18.41% (50,648 of 275,132) in 1999 to 33.47% (132,470 of 395,826) in 2023 and deaths in hospice/nursing homes increased from 30.95% (85,144 of 275,132) in 1999 to 34.71% (116,634 of 336,014) in 2017 and then sudden fall was observed until 2023 to 29.54% (116,931 of 395,826). Older adults (65+) were more likely to die in inpatient facilities. Gender, ethnicity, and urbanization influenced the place of death, with males, whites, and those residing in large metropolitan areas more likely to die in medical facilities. Conclusion: Prioritize end-of-life planning for HF patients with poor prognosis, regardless of age, to improve quality of life and death.

Geo-classification of drug-resistant travel-associated Plasmodium falciparum using Pfs47 and Pfcpmp gene sequences (USA, 2018-2021).

Travel-related malaria is regularly encountered in the United States, and the U.S. Centers for Disease Control and Prevention (CDC) characterizes Plasmodium falciparum drug-resistance genotypes routinely for travel-related cases. An important aspect of antimalarial drug resistance is understanding its geographic distribution. However, specimens submitted to CDC laboratories may have missing, incomplete, or inaccurate travel data. To complement genotyping for drug-resistance markers Pfcrt, Pfmdr1, Pfk13, Pfdhps, Pfdhfr, and PfcytB at CDC, amplicons of Pfs47 and Pfcpmp are also sequenced as markers of geographic origin. Here, a bi-allele likelihood (BALK) classifier was trained using Pfs47 and Pfcpmp sequences from published P. falciparum genomes of known geographic origin to classify clinical genotypes to a continent. Among P. falciparum-positive blood samples received at CDC for drug-resistance genotyping from 2018 to 2021 (n = 380), 240 included a travel history with the submission materials, though 6 were excluded due to low sequence quality. Classifications obtained for the remaining 234 were compared to their travel histories. Classification results were over 96% congruent with reported travel for clinical samples, and with collection sites for field isolates. Among travel-related samples, only two incongruent results occurred; a specimen submitted citing Costa Rican travel classified to Africa, and a specimen with travel referencing Sierra Leone classified to Asia. Subsequently, the classifier was applied to specimens with unreported travel histories (n = 140; 5 were excluded due to low sequence quality). For the remaining 135 samples, geographic classification data were paired with results generated using CDC's Malaria Resistance Surveillance (MaRS) protocol, which detects single-nucleotide polymorphisms in and generates haplotypes for Pfcrt, Pfmdr1, Pfk13, Pfdhps, Pfdhfr, and PfcytB. Given the importance of understanding the geographic distribution of antimalarial drug resistance, this work will complement domestic surveillance efforts by expanding knowledge on the geographic origin of drug-resistant P. falciparum entering the USA.

Abstract 4112716: The Trend In Racial Differences In Mortality Attributed To Congenital Heart Diseases In Infants In The United States From 2005 To 2019

Background: Deaths from congenital heart disease (CHD) in children have been decreasing in the United States. We examined the differences in mortality trends between Non-Hispanic Black (NHB) and Non-Hispanic White (NHW) infants. Methods: We retrospectively analyzed publicly available data from the Centers for Disease Control and Prevention’s Wide-ranging Online Data for Epidemiologic Research (CDC WONDER). The data was obtained from the linked birth/infant deaths from 2005 to 2019. We evaluated all infant deaths up to 1 year of age with the cause of death listed as CHD (International classification of diseases, 10 th revision (ICD-10) codes Q20-Q26 (except atrial septal defect, Q21.1 and patent ductus arteriosus, Q25. CHD infant mortality rate (IMR) was calculated per 100,000 live births. Race was ascertained based on death certificate reporting. Joinpoint regression was used to examine CHD-IMR by year, including stratification by NHB vs NHW, and neonatal vs postneonatal. The difference between NHB and NHW CHD-IMR was ascertained via the Mann-Whitney U test. P&lt;0.05 was considered statistically significant. Results: Out of 60,243,988 live births, there were 19,004 CHD-related infant deaths. The characteristics of the study population are displayed in Table 1. The overall CHD-IMR declined from 36.1 to 27.0 per 100,000 live births (25.2%) with an average annual percentage change (AAPC) of -2.1 [95% CI -2.6, -1.572] (Figure 1). The CHD-IMR was significantly higher in NHB than in NHW (40 vs 29.3; P&lt;0.0001) and this difference remained when the mortality rate was stratified by neonatal and post-neonatal periods. The CHD-IMR decreased significantly in NHW [AAPC: -2%; 95% CI: -2.5, -1.5%], but not in NHB [AAPC of -1.4%, 95% CI, -3.0, 0.3%]. The NHB-to-NHW CHD-IMR ratio, a measure of CHD-IMR disparity averaged 1.4 over the study period [AAPC: 0.8%; 95% CI: -0.2, 1.8%] (Figure 2). Conclusions: The CHD-IMR declined significantly for NHW, but not in NHB in the US from 2005 to 2019. The CHD-IMR was higher in NHB than in NHW. There was no significant change in the NHB-to-NHW CHD-IMR ratio, signifying no change in the disparity that exists between NHB and NHW IMR. These findings may have implications for patient care and public health policymaking. They lay the groundwork for additional studies to determine and understand the drivers behind these findings such as in prenatal diagnosis.