Built environment in early life is linked to heterogeneous trajectories of loneliness from childhood to adolescence in the ABCD study.

Factors associated with dental dam use during non-surgical root canal treatment: A national dental PBRN study.

A comprehensive analysis of jurisdiction-specific laws related to scheduling or required prescription drug monitoring of gabapentin in the United States, 2016-2024.

Dilated cardiomyopathy (DCM) is a common cause of heart failure and is associated with substantial morbidity and mortality. However, data on mortality trends and disparities in DCM mortality in the United States are limited. The objective of this study is to define trends and demographic and regional disparities in DCM-related mortality in the United States. Data from the Centers for Disease Control and Prevention Wide-ranging Online Data for epidemiological Research were analyzed from 2004 to 2022 for DCM-related mortality in the US population >15 years. Age-adjusted mortality rates (AAMRs) per 100 000 people and associated annual percent changes were analyzed using Joinpoint regression analysis. Mortality trends were stratified by sex, race and ethnicity, age group, census region, urbanization classification, and state. Between 2004 and 2022, 138 076 DCM-related deaths were reported in the study population. The AAMR decreased from 4.41 in 2004 to 1.98 in 2019 with an Average annual percentage change of -5.09 (95% CI, -5.40 to -4.86), after which it increased slightly to 2.22 in 2021. Men consistently had 2- to 2.5-fold higher AAMR compared with women. Non-Hispanic Black or Black people had the highest AAMR. The highest mortality rate during the study period was seen in the older population (age≥75 years). Regionally, the Midwest and South had the highest AAMR in 2004, which was overtaken by the West US after 2010. Rural-urban areas had similar AAMRs for most years. DCM-related mortality decreased over the past 2 decades, with a slight increase observed during the COVID-19 pandemic. Despite the decreasing trend, sex and racial disparities persisted, with men and Black people having the highest AAMR, whereas regional disparities changed, with the Midwest and South census regions showing an improvement compared with the West of the United States.

Type 2 diabetes mellitus (T2DM) and acute myocardial infarction (AMI) are critical health challenges that increase mortality, particularly in older adults. This study analyzed trends in AAMRs and disparities in comorbid T2DM and MI mortality (1999-2022) across demographics, regions, and age groups to identify inequities and guide interventions. Mortality data from CDC death certificates were analyzed. AAMRs per 1000,000 and annual percentage changes (APCs) with 95% confidence intervals (CIs) were calculated using Joinpoint Regression. From 1999 to 2022, there were 183,221 deaths attributed to the combination of T2DM and MI. Throughout this period, men consistently exhibited higher mortality rates compared to women. When analyzing racial and ethnic groups, Non-Hispanic (NH) American Indian and NH Alaska Native groups had the highest AAMRs, followed by NH Black population, while NH Asian and Pacific Islander population recorded the lowest rates. Geographically, the West (AAMR 118.8) and Midwest (115.0) regions reported the highest death rates, whereas the Northeast had the lowest rate at 70.4. Age-specific trends indicated the most significant increases in mortality among individuals aged 85 and older. Furthermore, non-metropolitan areas experienced a sharper rise in death rates after 2015, showing an APC of 7.4%, compared to a more moderate increase of 6.1% in metropolitan areas. West Virginia displayed the highest burden of deaths related to T2DM and MI, with an AAMR of 173.6, while Nevada had the lowest burden at 30.1. Mortality from comorbid T2DM and MI has surged, with widening disparities across gender, race, regions, and age groups. Targeted interventions are essential to reduce these inequities and prevent deaths. The online version contains supplementary material available at 10.1007/s40200-025-01795-2.

The impact of heat exposure on patients with end-stage kidney disease (ESKD) is of growing concern in the context of climate change. In this study, we investigated the association of heat exposure with hospitalization and mortality, and how the risk of these adverse health outcomes varied by climate region in the US. We obtained hospitalization and mortality data for patients with ESKD receiving in-center hemodialysis treatment between 2012 and 2018 at Fresenius Kidney Care facilities located within the contiguous US. We used the treatment facility location to assign heat exposure using maximum universal thermal climate index temperature data. We conducted a space-time-stratified case-crossover study using conditional Poisson regression with distributed lag nonlinear models to examine the effects of heat exposure at the 95th percentile of the region-specific temperature distribution for lags of three days. Stratified analyses were run to assess differences in associations across nine climate regions and three latitude bands. The cumulative lag 0-3 risk of hospitalization associated with heat exposure was highest in the West (rate ratio [RR]: 1.099; 95% confidence interval [CI]: 1.041, 1.160), whereas the highest risk of mortality was observed in the Northwest region (RR: 1.097; 95% CI: 1.007, 1.195). We observed significant increases in the risk of hospitalization at the low- and mid-latitude bands and a significant increase in the risk of mortality in the mid-latitude band. We observed spatial heterogeneity across US climate regions. The strongest effects of heat exposure were observed in the Ohio Valley, South, and West regions for hospitalization and the Upper Midwest, Southeast, and Northwest regions for mortality. Findings may be used to inform targeted interventions to patients with ESKD residing in areas with higher risks of adverse health outcomes following heat exposure.

External evaluation of the SORG machine learning algorithm predicting 90-day and 1-year mortality in a Midwest cohort of patients with spinal metastasis.

BackgroundPublic confidence is a cornerstone of effective healthcare delivery and the legitimacy of healthcare reform. In Ireland’s Health Service Executive (HSE) Mid-West (MW), Regional Health Area (RHA) E, ongoing concerns about access to care at University Hospital Limerick (UHL) and the wider responsiveness of the system highlight the need for a deeper understanding of public trust in this region.MethodsThis study conducted an online cross-sectional survey of 358 participants from RHA E using convenience sampling and fully anonymised data. It assessed Emergency Department (ED) utilisation and developed a novel Overall Confidence Index (OCI), capturing five dimensions of healthcare trust across 15 Likert-scale items. Statistical analyses included Ordinal Logistic Regression (OLR), linear regression, and factor analysis to identify confidence predictors. Although respondents from Clare were over-represented, post-hoc weighting made little difference to the results.Results80.78% of respondents expressed dissatisfaction. Confidence was significantly lower among older adults (textrm{Odds Ratio (OR)} = 0.81, textrm{p} = 0.012), among people living with a chronic illness (textrm{OR} = 1.40, textrm{p} = 0.002), and among Clare residents compared with those in Limerick (textrm{OR} = 1.31, textrm{p} = 0.025). ED usage showed a negative trend but was not statistically significant (textrm{p} = 0.089). Factor analysis pointed to two underlying dimensions of confidence: “Trust in Care Quality” and “Systemic Transparency”.ConclusionsIn this region, trust is influenced more by broader system and population factors than by individual service use. The OCI provides a useful way to track changes in public trust over time. To rebuild confidence, reforms should focus on fair access across regions, better support for people with chronic illness, and greater transparency in how the system is run. Future studies should use a quota-based, mixed-methods design to enhance representativeness and inform Sláintecare aligned health policy.Supplementary InformationThe online version contains supplementary material available at 10.1186/s12913-025-13663-z.

Residency exposures help shape trainees' decisions to pursue further academic training. In pediatric otolaryngology, the care of complex patients requires advanced training and expertise beyond general residency training. The aim of this study was to determine if specific characteristics of the pediatric experience in residency are related to pursing a pediatric otolaryngology fellowship. Web based analysis of all 128 ACGME Otolaryngology residency programs and graduates from 2017 to 2022 utilizing individual program websites and the Doximity Residency Navigator. Characteristics obtained included program size, location, and pediatric rotation characteristics (free-standing children's hospital, associated accredited fellowship, pediatric fellowship trained faculty). Each individual graduate listed in program websites was profiled on the basis of their google webpage to identify those listing pediatric otolaryngology training. Multivariate and univariate analysis were employed for statistical analysis. Residency programs with rotations at children's hospitals with pediatric fellowships had significantly more graduate's complete pediatric otolaryngology fellowships (25.6% vs. 63.6%, p = 0.001). This held true on multivariate analysis (OR = 5.0 (1.5-18.0), p = 0.010) when controlling for program location, rotation at a Children's hospital, and rotation at a Children's hospital with fellowship. Programs in the Midwest region were 4.4 times more likely to produce graduates pursuing pediatric fellowship training versus other regions (p = 0.038). Program size did not associate with graduates seeking fellowship. Exposure to hospitals with pediatric otolaryngology fellowships increased the likelihood of trainees who pursue pediatric otolaryngology fellowships. Future studies further investigating resident perceptions of their pediatric experience and their motivation to pursue pediatric otolaryngology fellowship will be beneficial. N/A.

Knowledge of resident bacteria present within animal food manufacturing facilities, as well as the understanding of antimicrobial resistance genes (ARGs), can help inform cleaning and sanitation practices to reduce microbial risks for the animal and human food chains. The goal of this study was to characterize resident bacteria previously isolated in selected swine feed mills within the Midwest region of the United States at multiple seasonal timepoints. About 121 resident bacterial isolates were identified and classified into six genera, consisting of 68 Enterobacter, 34 Citrobacter, four Cronobacter, eight Klebsiella, three Proteus, and four Pseudomonas, in addition to 30 Escherichia coli and 33 Salmonella characterized previously. Among the 121 isolates discussed within the current work, the majority (48; 39.7%) came from environmental samples taken from either non-feed contact surfaces such as floors and feed contact surfaces (38; 31.4%) or transient surfaces such as brooms and workers' shoes (20; 16.5%), and only 12 samples (9.9%) came directly from finished feed. A range of ARGs and metal tolerance genes (MTGs) were identified. This research provides an initial framework to understand the diversity of resident flora in feed mill facilities in the Midwest region and identify areas to focus on for housekeeping and sanitization within mills. This information is critical to developing feed safety strategies and preventing antimicrobial resistance spread in the farm-to-table continuum.

Early-stage adrenal cancer has a 5-year survival rate of 50% to 60% which drops to 10% to 20% following metastasis. We aim to identify the adrenal cancer mortality patterns across various demographics and geographies in the U.S. from 1999 to 2020 by using a national database. Death certificate-associated datasets were retrieved from the CDC WONDER database using the ICD-10 code C74 to identify adrenal cancer patients. age-adjusted mortality rates were calculated per million population along with annual percent changes in them for all the stratifications, including sex, race, and geography. Overall, 14,622 mortalities were attributed to adrenal cancer, with AAMR decreasing from 2.429 in 1999 to 2.068 in 2020 (APC–0.7804; P <.05). Males (2.21) and non-Hispanic Whites (2.16) exhibited the highest rates. Older adults (6.09) reported the highest AAMR compared with younger populations. Further peak rates were observed among the residents of non-metropolitan areas (2.32) and the Midwest region (2.23). Overall, the mortality rates declined, but significant demographic and regional disparities exist, emphasizing the need for targeted interventions chiefly for older individuals, men, and those in non-metropolitan areas.

Production of day-neutral strawberries ( Fragaria x ananassa ) is increasing in the Upper Midwest region of the USA, resulting in an extended strawberry harvest season compared to traditional June-bearing production systems. However, the longer harvest season comes with additional insect pest pressure and the need for novel integrated pest management strategies. Spotted-wing drosophila ( Drosophila suzukii ; SWD) and tarnished plant bug ( Lygus lineolaris ; TPB) can decrease strawberry yield and fruit quality. Insecticides are the dominant management strategy for both insect pests; however, fewer effective insecticides are available in organic production systems. Interplanting is an integrated pest management strategy which can provide conservation biological control and may repel or attract species of interest through volatile organic compound (VOCs) emissions. We investigated the effect of interplanting alfalfa and sweet alyssum with day-neutral strawberry plants on fruit yield and quality, SWD infestation and TPB damage, arthropod abundance and diversity. Additionally, we measured the relative abundance of sweet alyssum VOCs, acetophenone and benzaldehyde, in the field because they may be aversive to SWD adults. The interplanting treatment inconsistently affected fruit production; in year one of the study, the control treatment had larger fruit than the other two treatments and, in year two, berries interplanted with sweet alyssum had more marketable yield than the other two treatments. Treatments did not affect SWD infestation or TPB damage. Acetophenone and benzaldehyde VOC production varied in the sweet alyssum plots by time of day and date. The control treatment had less arthropod abundance and diversity compared to the intercrop treatments. Intercropping may provide resources for arthropod communities but may not reduce key pest species such as SWD and TPB in day-neutral strawberries.

Although the atmospheric boundary layer height (ABLH) is a highly relevant parameter for various meteorological studies, the analysis of its behavior remains undersampled in South America, especially in Brazil. In this context, this work presents a monthly characterization of the ABLH during the convective period (Convective Boundary Layer Height-CBLH) using radiosonde data and a comparison between the monthly patterns obtained from ERA5 and COSMIC-2 data. The results demonstrate that, based on radiosonde data, the CBLH can be grouped into six regions (Northern Amazon, North, Northeast, Midwest, Southeast, and South), with seasonality varying according to the continentality and the climate to which they are exposed. The ERA5 and COSMIC-2 data show considerable agreement for most of the year [average absolute difference of [362 ± 182] m] and demonstrate the same seasonality observed in radiosondes for the North Amazon, North, Northeast, Southeast, and South regions. The highest discrepancies between ERA5 and COSMIC-2 occur during the fire season, mainly at Midwest region, reaching 802 m in July, likely linked to the sensitivity of the COSMIC-2 to fire plumes.

Background: Stroke is the fifth leading cause of mortality in the United States (US), with diverse etiologies. Evidence suggests that cancer is a significant predisposing factor, with studies demonstrating an elevated risk of stroke in cancer patients. However, mortality trends due to concomitant stroke and cancer remain underexplored. Therefore, our study aims to investigate mortality trends attributable to stroke and cancer in the US across demographics and regions. Methods: The CDC WONDER multiple cause of death database was used to extract death certificate data for adults aged ≥ 25 years. Age-adjusted mortality rates (AAMR) per 100,000 persons were calculated, and annual trends were determined by calculating annual percent change (APC) and the average APC (AAPC) in AAMR using Joinpoint regression analysis. Results: From 1999 to 2023, a total of 538,858 stroke and cancer-related deaths were recorded in the US. The AAMR decreased from 1999 to 2009 (APC: -3.76, 95% CI: -4.90 to -3.06) and then till 2014 (APC: -2.36, 95% CI: -3.98 to -0.97), followed by a stable trend till 2018 (APC: 0.85, 95% CI: -1.36 to 2.21). Subsequently, the AAMR surged between 2018 and 2021 (APC: 7.86, 6.29 to 9.10) and then a stable disease period was observed till 2023 (APC:0.72, 95% CI: -1.20 to 2.60). Males had higher AAMRs than females. Non-Hispanic (NH) Black or African Americans displayed the highest AAMR, followed by NH White, other NH populations, and Hispanic or Latino group. Midwest region reported the highest AAMR while Northeast reported the lowest. Rural areas exhibited a higher AAMR (11.09, 95% CI: 11.01 to 11.16) than urban areas (AAMR: 9.2, 95% CI: 9.17 to 9.23). When stratified by cancer types, gastrointestinal and lung cancer experienced the highest AAMRs. Upon stratification by stroke subtype, intracerebral hemorrhage had the highest AAMRs during early years of study period; however, ischemic stroke-related AAMR showed the highest increase between 2017 and 2023 (APC: 11.89, 95% CI: 8.14 to 13.82). Conclusions: While the overall stroke and cancer-related mortality is decreasing, ischemic stroke-related cancer deaths are on the rise. Highest mortality rates were found in men, NH Black or African Americans, residents of the Midwest region, and rural areas. Our findings underscore the critical need for early cardiovascular care for cancer patients. Furthermore, efforts are needed to improve equitable access to healthcare for socioeconomically disadvantaged populations.

Introduction: Obesity is a known risk factor contributing to the development of hypertension. This study aims to identify integrated temporal trends, racial and ethnic disparities, and geographic variation in obesity-related hypertension deaths. Methods: We analyzed de-identified data from the CDC WONDER database (1999–2020) to examine hypertension-related mortality trends among obese U.S. adults aged 25 and older. Age-adjusted mortality rates were assessed per 100,000 population by demographics and geography, and temporal trends were evaluated using Joinpoint regression. Results: Between 1999 and 2020, 178,402 U.S. deaths were attributed to obesity and hypertension as contributing causes, with the age-adjusted mortality rate (AAMR) rising from 0.84 to 8.36 per 100,000. This reflects an overall annual percentage change (AAPC) of 7.13% (p &lt; 0.000001) and a sharp rise from 2018 to 2020 (APC 22.95%, p = 0.0463). Males accounted for 93,806 deaths (52.58%), with an AAMR increase from 0.76 to 9.78 (AAPC 7.85%), while females had 84,596 deaths (47.42%) and an AAMR increase from 0.86 to 7.06 (AAPC 5.59%). Highest AAPCs were seen in ages 25–34 (10.63%), 35–44 (9.99%), 55–64 (9.89%), and 85+ (8.04%). By race, Whites contributed 122,976 deaths (AAPC 6.82%), Black or African Americans 31,553 (AAPC 6.29%), and Hispanics 5,314 (AAPC 9.75%, 2018–2020 APC 63.11%). American Indians or Alaska Natives had the highest AAPC (1,829 deaths, 10.51%), followed by Asians/Pacific Islanders (1,705 deaths, 7.21%). Regionally, the South had the most deaths (69,186; AAMR 0.70 to 9.21, AAPC 7.44%), with a steep post-2018 rise in the Northeast (APC 24.24%). Urban areas reported 139,918 deaths (78.43%), while rural areas had 38,484 (21.57%). California recorded the highest state count (21,496), followed by Texas (12,058); Wyoming (512) and South Dakota (587) had the lowest. These data reveal rising mortality with disparities by age, race, region, and urbanicity. Conclusion: HHD-related AAMR steadily rose from 1999 to 2018 and sharply increased through 2020, with higher rates in older males, the Southern and Midwest regions, and rural areas, highlighting the need for targeted public health interventions.

Background: Sleep disorders are associated with an increased risk of atrial fibrillation (AF) due to shared risk factors. Despite this association, the sociodemographic mortality trends of these two conditions remain unstudied. This study explores the contemporary mortality trends in American adults (≥25 years) with coexisting AF and sleep disorders from 2000 to 2019. Methods: We analyzed the mortality data using the CDC WONDER database, extracting age-adjusted mortality rates (AAMR) per 100,000 population from 2000 to 2019. AF was identified using ICD-10 code I48, and sleep disorders were identified using ICD-10 code G47. We included those mortalities in our analysis where both AF and sleep disorders were either the underlying or contributing cause of death. Trends were analyzed by year, sex, race and ethnicity, census region, and metropolitan status. We used the Jointpoint regression to calculate the annual percent change (APC) in AAMR with 95% confidence intervals. Results: During the study period, a total of 27,516 deaths occurred in patients where both AF and sleep disorders were listed as contributing to death, with an overall AAMR of 0.62 per 100,000. The overall AAMR increased from 0.08 in 2000 to 1.55 in 2019, with a significantly increasing trend from 2000 to 2009 (APC: 18.89, p &lt; 0.001) and from 2009 to 2019 (APC: 13.30, p &lt; 0.001). Men had a higher AAMR (0.99) than women (0.39). White population had the highest AAMR (0.70), followed by American Indians or Alaska Natives (0.63), Blacks or African Americans (0.46), Hispanics or Latinos (0.25), and Asians or Pacific Islanders (0.16). Significant geographic variation was observed, with the Midwest region (0.80) exhibiting the highest AAMR. Non-metropolitan areas had a higher AAMR (0.75) than metropolitan areas (0.58). Conclusion: The mortality trend related to coexisting AF and sleep disorders constantly rose throughout the study period, with important sociodemographic disparities. Further research is warranted to address the mortality secondary to coexisting AF and sleep disorders.

INTRODUCTION: Heart failure (HF) contributes to the progression and worsening of chronic kidney disease (CKD) by mechanisms like reduced renal perfusion and neurohormonal activation, increasing mortality risk. Our study analyzes trends in CKD mortality among patients with HF in the United States from 1999 to 2023. METHODS: Death records from the Centers for Disease Control and Prevention’s Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database (1999–2023) included patients aged 45 and above having CKD as the underlying cause of death and HF listed as a contributing cause. Age-adjusted mortality rates (AAMRs) per 100,000 population were analyzed, and temporal trends were assessed using Joinpoint regression to calculate the annual percent change (APC). RESULTS: From 1999 to 2023, a total of 107,259 deaths occurred from CKD in patients with HF. AAMR rose almost 2 times from 2.4 in 1999 to 4.8 in 2023, showing a prominent increase shift from 2009 to 2018 (APC: 6.18; 95% CI: 5.16 to 9.50). AAMR in males (4.4) reported by 2023 was twice that of females (2.8). NH African Americans (5.8) recorded doubled the AAMRs compared to other racial/ethnic groups. Mortality rates among older adults (8.6) were 16 times higher than middle-aged adults (0.5). Rates were also notably high in non-metropolitan areas (3.9) and the Midwest regions (4.0). CONCLUSION: HF complicates CKD management and contributes significantly to CKD-related mortality. Rising AAMR trends across geographic and demographic groups highlight the need for targeted interventions and proper resource allocation to reduce this dual burden.

Background: Hypertension is increased blood pressure above 140/90mmHg. Novel therapeutics toward Hypertension have shown improvement in cardiovascular activity. However, patients with hypertension have shown an increased risk of heart failure (HF). We aim to analyze the trends of mortality in people with HF and Hypertension in the adult US population. Objectives: The purpose of this study was to assess the trends and regional differences in Hypertension and HF related mortality among older adults (≥65) in the United States. Methods: CDC WONDER(Center for disease control and prevention Wide-Ranging Online Database for Epidemiologic Research) database was examined from 1999 to 2020. The study population included U.S. adults aged 65+ years, with hypertension-related heart failure. ICD-10 codes were used, I10–I50 as underlying causes and I50 as a multiple cause of death. Age-adjusted mortality rates (AAMR) were calculated per 100,000. Annual percent change (APC) was estimated to assess mortality trends over time. Analyses were stratified by sex, race, state, place of death, and U.S. census region. The Midwest region and American Indian/Alaska Native population were excluded. Analysis was done through joinpoint. Results: Between 1999 and 2020, 259,079 deaths occurred from hypertension related HF. The AAMR rose from 11.27 in 1999 to 21.723 in 2000, and the highest AAMR reported was 41.05 in 2020. Females showed higher AAMR (women = 41.09 vs men = 40.18). Nursing home/Long term care facilities accounted for 36.06% of all places of death followed by Descendants Home with 30.05%. Racial groups showed highest mortality in Blacks/African Americans (53.59) followed by White (40.58), lower AAMR in Hispanic/Latino (31.92) and Asian/Pacific Islanders (24.21). The Western Region reported the highest AAMR (49.87). Conclusion: Hypertension-related heart failure mortality among U.S. adults aged 65+ increased from 1999 to 2020, with higher rates in females, Black individuals, and the Western region. Disparities by race, sex, and place of death highlight the need for targeted public health efforts and improved care in long-term settings.

Background: Ischemic heart disease (IHD) is one of the most common causes of sudden cardiac death, with insulin-dependent diabetes mellitus (IDDM) affected patients emerging with more disease burden in said population. The correlation between IDDM and IHD hasn't been explored thoroughly enough, including the intersection of variables that affect both conditions. Research Question: The purpose of this study was to observe national trends in IHD-related mortality among adults ≥25 years with comorbid IDDM in the U.S from 1999 to 2023 and how these vary by year, gender, race, and region in the U.S. Methods: We utilized the CDC WONDER(Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) Database to examine the mortality rates among adults aged ≥ 25 years affected with IHD and IDDM from 1999 to 2023. The International Classification of Diseases, Tenth Revision(ICD-10 codes) were used to associate deaths due to IHD (I20-I25) and IDDM (E10). The annual percentage change (APC) for age-adjusted mortality rates per 100,000 (AAMRs) was calculated using Joinpoint regression with a 95% confidence interval (CI). Results: Between 1999 and 2023, there were a total of 118,810 deaths (males=62,908, females=55,902) among adults aged ≥25 years with IDDM and IHD. The overall AAMR decreased from 5.76 per 100,000 in 1999 to 1.22 in 2015, with an average APC of -9.04 (95% CI: -9.39 to -8.68), then to 1.12 in 2021 (APC: 1.65, 95% CI: -4.44 to 1.22), followed by a slow decline to 0.89 in 2023(APC: -10.51, 95% CI: -24.12 to 5.54). Mortality was consistently higher in males (1999=6.37, 2023=1.18) compared to females (1999=5.31, 2023=0.63). Among racial groups, Black/African Americans had the highest average AAMR (2.37), followed by American Indian or Alaska Native(1.94), Whites(1.93), and Asian or Pacific Islanders(0.75). The Midwest region had the highest average AAMR(2.83), followed by the Northeast(2.36), South(2.24), and West(1.76) regions. Conclusion: While there has been a significant overall decrease in IHD-related mortality among insulin-dependent diabetics in the U.S, there are continuing disparities between different regions and demographic segments. The highest AAMRs were noted among males, Black or African Americans, and residents of the Midwest region. These findings underscore the importance of tailored health interventions and further research to address these disparities.

Background: Clinical depression is associated with an increased risk of cerebrovascular accidents. Despite this risk, the mortality trends related to both depression and cerebrovascular disease have been unexplored. This study investigates contemporary mortality trends among U.S. adults (aged ≥25 years) with coexisting depression and cerebrovascular disease over the two decades spanning from 1999 to 2019. Methods: We analyzed the death data using the CDC WONDER database. We extracted the age-adjusted mortality rates (AAMR) per 100,000 population from 1999 to 2019. We identified depression by using the ICD-10 codes F32, F33, F41.2, and F92.0. Cerebrovascular disease was identified using the ICD-10 codes I60-I69. Deaths with cerebrovascular disease and depression as either underlying or contributing causes were included in the study. Trends were analyzed by year, sex, race and ethnicity, census region, and metropolitan status. Joinpoint regression was used to calculate the annual percent change (APC) in AAMR with 95% confidence intervals (CI). Results: During the study period, a total of 35,227 deaths occurred in patients with comorbid cerebrovascular disease and depression, with an overall AAMR of 0.77 per 100,000. The overall AAMR decreased from 1.07 in 1999 to 0.73 in 2019, was stable from 1999 to 2002 (APC: 1.63, p = 0.057), decreased from 2002 to 2009 (APC: -7.57, p &lt; 0.001), remained stable from 2009 to 2014 (APC: -1.72, p = 0.111), and increased from 2014 to 2019 (APC: 3.46, p = 0.0004). Women had a higher AAMR (0.82) than men (0.70). Racial disparities showed that non-Hispanic (NH) Whites had the highest AAMR (0.85), followed by NH American Indian/Alaska Natives (0.70), NH Black/African Americans (0.52), Hispanics/Latinos (0.41), and NH Asians/Pacific Islanders (0.28). Significant geographic variation was also observed, with the Midwest region (1.1) and the state of Alabama (2.53) exhibiting the highest AAMR. Non-metropolitan areas had a higher AAMR (1.07) than metropolitan areas (0.72). Conclusion: Despite an overall declining trend between 1999-2019, we noted an increase in the mortality trend related to comorbid cerebrovascular disease and depression from 2014-2019, with prominent sociodemographic disparities among cohorts. These findings highlight the importance of both neurological and psychological approaches in the management of cerebrovascular disease care, particularly among vulnerable sociodemographic groups.