The trend of the quality of cause-of-death data and its association with socio-economic indicators in Serbia in the period 2005-19.

This study aims to evaluate the temporal trend in the quality of cause-of-death data and garbage code profiles and to determine its association with socio-economic status in Serbia. A longitudinal study was assessed using data from mortality registers from 2005 to 2019. Computer application Analysis of Causes of National Deaths for Action (ANACONDA) calculates the distribution of garbage codes by severity and composite quality indicator: Vital Statistics Performance Index for Quality (VSPI(Q)). A relationship between VSPI(Q) and country development was estimated by analysing two socio-economic indicators: the Socio-demographic Index and the Human Development Index (HDI). Serbia indicates progress in strengthening cause-of-death statistics. The steady upward trend of the VSPI(Q) index has risen from 55.6 (medium quality) to 70.2 (high quality) over the examined years. Significant reduction of 'Insufficiently specified causes with limited impact' (Level 4) and an increase in the trend of 'High-impact garbage codes' (Levels 1 to 3) were evident. Decreased deaths of no policy value (annual percentage change of -1.41%) have manifested since 2014. A strong positive association between VSPI(Q) and socio-economic indicators was assessed, where the HDI has shown a stronger association with VSPI(Q). Improved socio-economic conditions on the national level are followed by enhanced cause-of-death data quality. Upcoming actions to improve quality should be directed at high-impact garbage codes. The study underlines the need to prioritise the education and training of physicians with a crucial role in death certification to overcome many cause-of-death quality issues identified in this assessment.

Strengthening care for noncommunicable diseases in the Americas

Noncommunicable diseases (NCDs), such as cardiovascular diseases, cancer, respiratory diseases and diabetes, account for 81% of lives lost in the Americas. An estimated 240 million adults in the Region live with at least one NCD, requiring access to continuous support, delivered through Primary Health Care. Successful implementation of NCD policies and interventions can result in significant cost savings, alleviating the economic burden on healthcare systems, individuals, and society, while effective NCD management at the Primary Health Care level reduces premature deaths and disabilities. Strengthening integration of NCDs into Primary Health Care represents a key milestone in a country’s health system response to the Sustainable Development Agenda, with the aim of leaving no-one behind.

Peripherally inserted central catheter design and material for reducing catheter failure and complications.

BACKGROUND: Peripherally inserted central catheters (PICCs) facilitate diagnostic and therapeutic interventions in health care. PICCs can fail due to infective and non-infective complications, which PICC materials and design may contribute to, leading to negative sequelae for patients and healthcare systems. OBJECTIVES: To assess the effectiveness of PICC material and design in reducing catheter failure and complications. SEARCH METHODS: The University of Queensland and Cochrane Vascular Information Specialist searched the Cochrane Vascular Specialised Register, CENTRAL, MEDLINE, Embase, and CINAHL databases and the WHO ICTRP and ClinicalTrials.gov trials registers to 16 May 2023. We aimed to identify other potentially eligible trials or ancillary publications by searching the reference lists of retrieved included trials, as well as relevant systematic reviews, meta-analyses, and health technology assessment reports. We contacted experts in the field to ascertain additional relevant information. SELECTION CRITERIA: We included randomised controlled trials (RCTs) evaluating PICC design and materials. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Our primary outcomes were venous thromboembolism (VTE), PICC-associated bloodstream infection (BSI), occlusion, and all-cause mortality. Secondary outcomes were catheter failure, PICC-related BSI, catheter breakage, PICC dwell time, and safety endpoints. We assessed the certainty of evidence using GRADE. MAIN RESULTS: We included 12 RCTs involving approximately 2913 participants (one multi-arm study). All studies except one had a high risk of bias in one or more risk of bias domain. Integrated valve technology compared to no valve technology for peripherally inserted central catheter design Integrated valve technology may make little or no difference to VTE risk when compared with PICCs with no valve (risk ratio (RR) 0.71, 95% confidence interval (CI) 0.19 to 2.63; I² = 0%; 3 studies; 437 participants; low certainty evidence). We are uncertain whether integrated valve technology reduces PICC-associated BSI risk, as the certainty of the evidence is very low (RR 0.20, 95% CI 0.01 to 4.00; I² = not applicable; 2 studies (no events in 1 study); 257 participants). Integrated valve technology may make little or no difference to occlusion risk when compared with PICCs with no valve (RR 0.86, 95% CI 0.53 to 1.38; I² = 0%; 5 studies; 900 participants; low certainty evidence). We are uncertain whether use of integrated valve technology reduces all-cause mortality risk, as the certainty of evidence is very low (RR 0.85, 95% CI 0.44 to 1.64; I² = 0%; 2 studies; 473 participants). Integrated valve technology may make little or no difference to catheter failure risk when compared with PICCs with no valve (RR 0.80, 95% CI 0.62 to 1.03; I² = 0%; 4 studies; 720 participants; low certainty evidence). We are uncertain whether integrated-valve technology reduces PICC-related BSI risk (RR 0.51, 95% CI 0.19 to 1.32; I² = not applicable; 2 studies (no events in 1 study); 542 participants) or catheter breakage, as the certainty of evidence is very low (RR 1.05, 95% CI 0.22 to 5.06; I² = 20%; 4 studies; 799 participants). Anti-thrombogenic surface modification compared to no anti-thrombogenic surface modification for peripherally inserted central catheter design We are uncertain whether use of anti-thrombogenic surface modified catheters reduces risk of VTE (RR 0.67, 95% CI 0.13 to 3.54; I² = 15%; 2 studies; 257 participants) or PICC-associated BSI, as the certainty of evidence is very low (RR 0.20, 95% CI 0.01 to 4.00; I² = not applicable; 2 studies (no events in 1 study); 257 participants). We are uncertain whether use of anti-thrombogenic surface modified catheters reduces occlusion (RR 0.69, 95% CI 0.04 to 11.22; I² = 70%; 2 studies; 257 participants) or all-cause mortality risk, as the certainty of evidence is very low (RR 0.49, 95% CI 0.05 to 5.26; I² = not applicable; 1 study; 111 participants). Use of anti-thrombogenic surface modified catheters may make little or no difference to risk of catheter failure (RR 0.76, 95% CI 0.37 to 1.54; I² = 46%; 2 studies; 257 participants; low certainty evidence). No PICC-related BSIs were reported in one study (111 participants). As such, we are uncertain whether use of anti-thrombogenic surface modified catheters reduces PICC-related BSI risk (RR not estimable; I² = not applicable; very low certainty evidence). We are uncertain whether use of anti-thrombogenic surface modified catheters reduces the risk of catheter breakage, as the certainty of evidence is very low (RR 0.15, 95% CI 0.01 to 2.79; I² = not applicable; 2 studies (no events in 1 study); 257 participants). Antimicrobial impregnation compared to non-antimicrobial impregnation for peripherally inserted central catheter design We are uncertain whether use of antimicrobial-impregnated catheters reduces VTE risk (RR 0.54, 95% CI 0.05 to 5.88; I² = not applicable; 1 study; 167 participants) or PICC-associated BSI risk, as the certainty of evidence is very low (RR 2.17, 95% CI 0.20 to 23.53; I² = not applicable; 1 study; 167 participants). Antimicrobial-impregnated catheters probably make little or no difference to occlusion risk (RR 1.00, 95% CI 0.57 to 1.74; I² = 0%; 2 studies; 1025 participants; moderate certainty evidence) or all-cause mortality (RR 1.12, 95% CI 0.71 to 1.75; I² = 0%; 2 studies; 1082 participants; moderate certainty evidence). Antimicrobial-impregnated catheters may make little or no difference to risk of catheter failure (RR 1.04, 95% CI 0.82 to 1.30; I² = not applicable; 1 study; 221 participants; low certainty evidence). Antimicrobial-impregnated catheters probably make little or no difference to PICC-related BSI risk (RR 1.05, 95% CI 0.71 to 1.55; I² = not applicable; 2 studies (no events in 1 study); 1082 participants; moderate certainty evidence). Antimicrobial-impregnated catheters may make little or no difference to risk of catheter breakage (RR 0.86, 95% CI 0.19 to 3.83; I² = not applicable; 1 study; 804 participants; low certainty evidence). AUTHORS' CONCLUSIONS: There is limited high-quality RCT evidence available to inform clinician decision-making for PICC materials and design. Limitations of the current evidence include small sample sizes, infrequent events, and risk of bias. There may be little to no difference in the risk of VTE, PICC-associated BSI, occlusion, or mortality across PICC materials and designs. Further rigorous RCTs are needed to reduce uncertainty.

Disparities in cause-specific mortality by health insurance type and premium: evidence from Korean NHIS-HEALS cohort study, 2002-2019.

BACKGROUND: Although one's socioeconomic status affects health outcomes, limited research explored how South Korea's National Health Insurance (NHI) system affects mortality rates. This study investigated whether health insurance type and insurance premiums are associated with mortality. METHODS: Based on the National Health Insurance Service-Health Screening cohort, 246,172 men and 206,534 women aged ≥ 40 years at baseline (2002-2003) were included and followed until 2019. Health insurance type was categorized as employee-insured (EI) or self-employed-insured (SI). To define low, medium, and high economic status groups, we used insurance premiums at baseline. Death was determined using the date and cause of death included in the cohort. Cox proportional hazard models were used to analyze the association between insurance factors and the overall and cause-specific mortality. RESULTS: The SI group had a significantly higher risk of overall death compared to the EI group (adjusted hazard ratio (HR) [95% confidence interval]: 1.13 [1.10-1.15] for men and 1.18 [1.15-1.22] for women), after adjusting for various factors. This trend extended to death from the five major causes of death in South Korea (cancer, cardiovascular disease, cerebrovascular disease, pneumonia, and intentional self-harm) and from external causes, with a higher risk of death in the SI group (vs. the EI group). Further analysis stratified by economic status revealed that individuals with lower economic status faced higher risk of overall death and cause-specific mortality in both sexes, compared to those with high economic status for both health insurance types. CONCLUSION: This nationwide study found that the SI group and those with lower economic status faced higher risk of overall mortality and death from the five major causes in South Korea. These findings highlight the potential disparities in health outcomes within the NHI system. To address these gaps, strategies should target risk factors for death at the individual level and governments should incorporate such strategies into public health policy development at the population level. TRIAL REGISTRATION: This study was approved by the Institutional Review Board of Chungbuk National University Hospital (CBNUH-202211-HR-0236) and adhered to the principles of the Declaration of Helsinki (1975).

Association Between Socioeconomic Inequalities in Pain and All-Cause Mortality in the China Health and Retirement Longitudinal Study: Longitudinal Cohort Study.

BACKGROUND: Few studies focus on the equality of pain, and the relationship between pain and death is inconclusive. Investigating the distribution of pain and potential mortality risks is crucial for ameliorating painful conditions and devising targeted intervention measures. OBJECTIVE: Our study aimed to investigate the association between inequalities in pain and all-cause mortality in China. METHODS: Longitudinal cohort data from waves 1 and 2 of the China Health and Retirement Longitudinal Study (2011-2013) were used in this study. Pain was self-reported at baseline, and death information was obtained from the 2013 follow-up survey. The concentration index and its decomposition were used to explain the inequality of pain, and the association between pain and death was analyzed with a Cox proportional risk model. RESULTS: A total of 16,747 participants were included, with an average age of 59.57 (SD 9.82) years. The prevalence of pain was 32.54% (8196/16,747). Among participants with pain, the main pain type was moderate pain (1973/5426, 36.36%), and the common pain locations were the waist (3232/16,747, 19.3%), legs (2476/16,747, 14.78%) and head (2250/16,747, 13.44%). We found that the prevalence of pain was concentrated in participants with low economic status (concentration index -0.066, 95% CI -0.078 to -0.054). Educational level (36.49%), location (36.87%), and economic status (25.05%) contributed significantly to the inequality of pain. In addition, Cox regression showed that pain was associated with an increased risk of all-cause mortality (hazard ratio 1.30, 95% CI 1.06-1.61). CONCLUSIONS: The prevalence of pain in Chinese adults is concentrated among participants with low economic status, and pain increases the risk of all-cause death. Our results highlight the importance of socioeconomic factors in reducing deaths due to pain inequalities by implementing targeted interventions.

Sex Differences in Cardiovascular Outcomes in Patients With Kidney Failure.

BACKGROUND: Cardiovascular disease is the leading cause of mortality in patients with kidney failure, and their risk of cardiovascular events is 10 to 20 times higher as compared with the general population. METHODS AND RESULTS: We evaluated 508 822 patients who initiated dialysis between January 1, 2005 and December 31, 2014 using the United States Renal Data System with linked Medicare claims. We determined hospitalization rates for cardiovascular events, defined by acute coronary syndrome, heart failure, and stroke. We examined the association of sex with outcome of cardiovascular events, cardiovascular death, and all-cause death using adjusted time-to-event models. The mean age was 70±12 years and 44.7% were women. The cardiovascular event rate was 232 per thousand person-years (95% CI, 231-233), with a higher rate in women than in men (248 per thousand person-years [95% CI, 247-250] versus 219 per thousand person-years [95% CI, 217-220]). Women had a 14% higher risk of cardiovascular events than men (hazard ratio [HR], 1.14 [95% CI, 1.13-1.16]). Women had a 16% higher risk of heart failure (HR, 1.16 [95% CI, 1.15-1.18]), a 31% higher risk of stroke (HR, 1.31 [95% CI, 1.28-1.34]), and no difference in risk of acute coronary syndrome (HR, 1.01 [95% CI, 0.99-1.03]). Women had a lower risk of cardiovascular death (HR, 0.89 [95% CI, 0.88-0.90]) and a lower risk of all-cause death than men (HR, 0.96 [95% CI, 0.95-0.97]). CONCLUSIONS: Among patients undergoing dialysis, women have a higher risk of cardiovascular events of heart failure and stroke than men. Women have a lower adjusted risk of cardiovascular mortality and all-cause mortality.

Evolution of mortality rates among women of reproductive age in Brazilian municipalities: an ecological analysis using Global Burden of Disease estimates.

OBJECTIVES: Women's mortality at a reproductive age has been a global concern, and its decrease has been incorporated as a target of the UN Sustainable Development Goals. The aim of this study was to describe the spatial-temporal evolution of mortality rates among women of reproductive age in Brazilian municipalities by groups of causes and socioeconomic indicators from 2000 to 2018. STUDY DESIGN: Ecological analysis. METHODS: This work was an ecological, descriptive study that analyzed estimates of mortality rates among women of reproductive age (15-49 years) by main groups of causes of death from the Global Burden of Disease (GBD) study in three consecutive trienniums, T1 (2000-2002), T2 (2009-2011), and T3 (2016-2018). To quantify the temporal evolution in mortality rates, the present study calculated the percentage change for each triennium. The spatial analysis of mortality rates was carried out using Moran's index. The Pearson coefficient was used to analyze the correlation between the data. RESULTS: A significant decline in mortality rates was found for all groups of causes in all regions of the country. Despite the downward trend, the percentage change from 2009 to 2011 to 2016 to 2018 showed a decrease in the group of Noncommunicable Diseases (NCDs) and external causes. The decline in mortality rates of women due to external causes showed only a minimal change in the North and Northeast regions from T2 to T3, whereas a cluster of neighboring municipalities with high mortality rates persisted in the municipalities of the South region and in the state of Roraima. The ranking of the main causes of death in Brazilian municipalities showed an increase in neoplasms in detriment to cardiovascular diseases (CVDs). CONCLUSIONS: The main causes of death in women of reproductive age at a more local level could be used to recognize inequalities and to develop interventions aimed at tackling premature and preventable deaths.

Changes in Racial and Ethnic Inequities in Pregnancy-Associated Death in the United States During the COVID-19 Pandemic.

Objectives. To examine changes in cause-specific pregnancy-associated deaths during the COVID-19 pandemic by race and ethnicity and assess changes in racial and ethnic inequities in pregnancy-associated deaths. Methods. We used US vital statistics mortality data from 2018 to 2021 to identify pregnancy-associated deaths among females aged 15 to 44 years. We calculated crude pregnancy-associated death rates (deaths per 100 000 live births) by year, cause, and race/ethnicity, percent change in death rate, and the inequity (difference) in rate for each racial or ethnic group compared with non-Hispanic White people. Results. The pregnancy-associated death rate for obstetric, drug-related, homicide, and other causes of death increased during 2020, and obstetric deaths continued to increase in 2021. Overall estimates mask 2021 increases in drug-related deaths among Hispanic, non-Hispanic American Indian and Alaska Native (AI/AN), and non-Hispanic Asian people; increases in homicide among most racial and ethnic groups; and increases in suicide among Hispanic, non-Hispanic AI/AN, and non-Hispanic Asian people. Conclusions. We found disproportionate increases in pregnancy-associated deaths from nonobstetric causes among minoritized racial and ethnic groups during the COVID-19 pandemic. (Am J Public Health. 2024;114(7):733-742. https://doi.org/10.2105/AJPH.2024.307651).

Disease burden and risk factors of children aged 0-14 years in China: a retrospective study on data from the Global Burden of Disease Study 2019.

OBJECTIVES: This study aimed to analyse the current status, trends and risk factors of disease burden from 1990 to 2019 among Chinese children. DESIGN AND PARTICIPANTS: It was a retrospective study on data from the Global Burden of Disease Study 2019 (GBD 2019). Data of disease burden and risk factors were extracted from the GBD 2019. Children were divided into two groups of <5 and 5-14 years. Data were analysed using GBD results query tool, Excel and Pareto analysis. PRIMARY OUTCOME MEASURES: Disability-Adjusted Life Years (DALYs) and deaths. RESULTS: The overall disease burden for both children <5 years and those aged 5-14 years significantly decreased from 1990 to 2019. For children aged <5 years, in 2019, the leading cause of deaths and DALYs were 'neonatal disorders', and the top risk factor was 'low birth weight'. Compared with data of 1990, the ranking of causes of deaths and DALYs in 2019 saw the most significant increase for 'HIV/AIDS and sexually transmitted infections' and 'skin and subcutaneous diseases' respectively. Conversely, the ranking of deaths/DALYs causes that dropped most significantly was 'nutritional deficiencies'. For children aged 5-14, in 2019, the leading deaths and DALYs causes were 'unintentional injuries' and 'mental disorders' respectively. The top risk factors were 'alcohol use' and 'short gestation', respectively. The ranking of deaths and DALYs causes rose most significantly were 'HIV/AIDS and sexually transmitted infections' and 'neonatal disorders', respectively. Conversely, the ranking of deaths causes that dropped most significantly were 'other infectious diseases', 'enteric infections' and 'nutritional deficiencies'. For DALYs, the causes that dropped most significantly in ranking were 'other infectious diseases'. CONCLUSIONS: The disease burden of children has significantly changed from 1990 to 2019, with notable differences between children aged <5 and 5-14 years. To optimise the allocation of health resources, it is necessary to adjust management strategies based on the latest disease burden.

Age-specific and cause-specific mortality contributions to the socioeconomic gap in life expectancy in Germany, 2003-21: an ecological study.

BACKGROUND: Earlier death among people in socioeconomically deprived circumstances has been found internationally and for various causes of death, resulting in a considerable life-expectancy gap between socioeconomic groups. We examined how age-specific and cause-specific mortality contributions to the socioeconomic gap in life expectancy have changed at the area level in Germany over time. METHODS: In this ecological study, official German population and cause-of-death statistics provided by the Federal Statistical Office of Germany for the period Jan 1, 2003, to Dec 31, 2021, were linked to district-level data of the German Index of Socioeconomic Deprivation. Life-table and decomposition methods were applied to calculate life expectancy by area-level deprivation quintile and decompose the life-expectancy gap between the most and least deprived quintiles into age-specific and cause-specific mortality contributions. FINDINGS: Over the study period, population numbers varied between 80 million and 83 million people per year, with the number of deaths ranging from 818 000 to 1 024 000, covering the entire German population. Between Jan 1, 2003, and Dec 31, 2019, the gap in life expectancy between the most and least deprived quintiles of districts increased by 0·7 years among females (from 1·1 to 1·8 years) and by 0·1 years among males (from 3·0 to 3·1 years). Thereafter, during the COVID-19 pandemic, the gap increased more rapidly to 2·2 years in females and 3·5 years in males in 2021. Between 2003 and 2021, the causes of death that contributed the most to the life-expectancy gap were cardiovascular diseases and cancer, with declining contributions of cardiovascular disease deaths among those aged 70 years and older and increasing contributions of cancer deaths among those aged 40-74 years over this period. COVID-19 mortality among individuals aged 45 years and older was the strongest contributor to the increase in life-expectancy gap after 2019. INTERPRETATION: To reduce the socioeconomic gap in life expectancy, effective efforts are needed to prevent early deaths from cardiovascular disease and cancer in socioeconomically deprived populations, with cancer prevention and control becoming an increasingly important field of action in this respect. FUNDING: German Cancer Aid and European Research Council.

Gender disparities in all-cause mortality among individuals with early-onset cardiovascular diseases.

BACKGROUND AND OBJECTIVE: Gender disparities in mortality among individuals with early-onset cardiovascular disease (CVD) remain uncertain. This study aimed to investigate gender differences in all-cause mortality and identify influencing factors. METHODS: Data extracted from the Kailuan Study, a prospective cohort study initiated in 2006, were analyzed. A total of 2,829 participants with early-onset CVD were included. Cox proportional hazard models were used to assess hazard ratios (HR) and 95% confidence intervals (CI) for gender disparities in all-cause mortality, adjusting for various factors. RESULTS: Males experienced a median follow-up duration of 7.54 years with 276 recorded deaths, and females had a median follow-up of 6.45 years with 105 recorded deaths. Gender disparities in all-cause mortality were observed, with men experiencing a higher all-cause mortality risk compared to women (HR: 1.42, 95% CI: 1.04, 1.92) in the fully adjusted model. Both in men and women with early-onset CVD, elevated hs-CRP levels and an eGFR < 60 mL/min/1.73m2 notably escalated the risk of all-cause mortality. Furthermore, the utilization of antiplatelet agents and successful blood glucose control might mitigate the risk of all-cause mortality. Smoking and eGFR decline modified the association between gender and all-cause death, women were more vulnerable to tobacco consumption and kidney misfunctioning than men (P-interaction = 0.019). CONCLUSION: The study highlights gender disparities in all-cause mortality among individuals with early-onset CVD, with men experiencing a higher risk of mortality compared to women. Addressing these disparities is important for improving outcomes in this population. Further research is needed to develop sex-specific interventions and strategies to reduce gender-related mortality disparities in early-onset CVD.

Healthcare use and costs in the last six months of life by level of care and cause of death.

BACKGROUND: Existing knowledge on healthcare use and costs in the last months of life is often limited to one patient group (i.e., cancer patients) and one level of healthcare (i.e., secondary care). Consequently, decision-makers lack knowledge in order to make informed decisions about the allocation of healthcare resources for all patients. Our aim is to elaborate the understanding of resource use and costs in the last six months of life by describing healthcare use and costs for all causes of death and by all levels of formal care. METHOD: Using five national registers, we gained access to patient-level data for all individuals who died in Norway between 2009 and 2013. We described healthcare use and costs for all levels of formal care-namely primary, secondary, and home- and community-based care -in the last six months of life, both in total and differentiated across three time periods (6-4 months, 3-2 months, and 1-month before death). Our analysis covers all causes of death categorized in ten ICD-10 categories. RESULTS: During their last six months of life, individuals used an average of healthcare resources equivalent to €46,000, ranging from €32,000 (Injuries) to €64,000 (Diseases of the nervous system and sense organs). In terms of care level, 63% of healthcare resources were used in home- and community-based care (i.e., in-home nursing, practical assistance, or nursing home care), 35% in secondary care (mostly hospital care), and 2% in primary care (i.e., general practitioners). The amount and level of care varied by cause of death and by time to death. The proportion of home- and community-based care which individuals received during their last six months of life varied from 38% for cancer patients to 92% for individuals dying with mental diseases. The shorter the time to death, the more resources were needed: nearly 40% of all end-of-life healthcare costs were expended in the last month of life across all causes of death. The composition of care also differed depending on age. Individuals aged 80 years and older used more home- and community-based care (77%) than individuals dying at younger ages (40%) and less secondary care (old: 21% versus young: 57%). CONCLUSIONS: Our analysis provides valuable evidence on how much healthcare individuals receive in their last six months of life and the associated costs, broken down by level of care and cause of death. Healthcare use and costs varied considerably by cause of death, but were generally higher the closer a person was to death. Our findings enable decision-makers to make more informed resource-allocation decisions and healthcare planners to better anticipate future healthcare needs.

Racial and Ethnic Disparities in All-Cause and Cause-Specific Mortality Among US Youth.

Importance: Mortality rates in US youth have increased in recent years. An understanding of the role of racial and ethnic disparities in these increases is lacking. Objective: To compare all-cause and cause-specific mortality trends and rates among youth with Hispanic ethnicity and non-Hispanic American Indian or Alaska Native, Asian or Pacific Islander, Black, and White race. Design, Setting, and Participants: This cross-sectional study conducted temporal analysis (1999-2020) and comparison of aggregate mortality rates (2016-2020) for youth aged 1 to 19 years using US Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database. Data were analyzed from June 30, 2023, to January 17, 2024. Main Outcomes and Measures: Pooled, all-cause, and cause-specific mortality rates per 100 000 youth (hereinafter, per 100 000) for leading underlying causes of death were compared. Injuries were classified by mechanism and intent. Results: Between 1999 and 2020, there were 491 680 deaths among US youth, including 8894 (1.8%) American Indian or Alaska Native, 14 507 (3.0%) Asian or Pacific Islander, 110 154 (22.4%) Black, 89 251 (18.2%) Hispanic, and 267 452 (54.4%) White youth. Between 2016 and 2020, pooled all-cause mortality rates were 48.79 per 100 000 (95% CI, 46.58-51.00) in American Indian or Alaska Native youth, 15.25 per 100 000 (95% CI, 14.75-15.76) in Asian or Pacific Islander youth, 42.33 per 100 000 (95% CI, 41.81-42.86) in Black youth, 21.48 per 100 000 (95% CI, 21.19-21.77) in Hispanic youth, and 24.07 per 100 000 (95% CI, 23.86-24.28) in White youth. All-cause mortality ratios compared with White youth were 2.03 (95% CI, 1.93-2.12) among American Indian or Alaska Native youth, 0.63 (95% CI, 0.61-0.66) among Asian or Pacific Islander youth, 1.76 (95% CI, 1.73-1.79) among Black youth, and 0.89 (95% CI, 0.88-0.91) among Hispanic youth. From 2016 to 2020, the homicide rate in Black youth was 12.81 (95% CI, 12.52-13.10) per 100 000, which was 10.20 (95% CI, 9.75-10.66) times that of White youth. The suicide rate for American Indian or Alaska Native youth was 11.37 (95% CI, 10.30-12.43) per 100 000, which was 2.60 (95% CI, 2.35-2.86) times that of White youth. The firearm mortality rate for Black youth was 12.88 (95% CI, 12.59-13.17) per 100 000, which was 4.14 (95% CI, 4.00-4.28) times that of White youth. American Indian or Alaska Native youth had a firearm mortality rate of 6.67 (95% CI, 5.85-7.49) per 100 000, which was 2.14 (95% CI, 1.88- 2.43) times that of White youth. Black youth had an asthma mortality rate of 1.10 (95% CI, 1.01-1.18) per 100 000, which was 7.80 (95% CI, 6.78-8.99) times that of White youth. Conclusions and Relevance: In this study, racial and ethnic disparities were observed for almost all leading causes of injury and disease that were associated with recent increases in youth mortality rates. Addressing the increasing disparities affecting American Indian or Alaska Native and Black youth will require efforts to prevent homicide and suicide, especially those events involving firearms.

Epidemiology and demographic patterns of cardiovascular diseases and neoplasms deaths in Western Europe: a 1990-2019 analysis.

OBJECTIVES: Cardiovascular diseases (CVDs) and neoplasms have been considered as public health concerns worldwide. This study aimed to estimate the epidemiological patterns of death burden on CVDs and neoplasms and its attributable risk factors in Western Europe from 1990 to 2019 to discuss the potential causes of the disparities. STUDY DESIGN AND METHODS: We collected data on CVDs and neoplasms deaths in 24 Western European countries from the Global Burden of Disease Study. We analyzed patterns by age, sex, country, and associated risk factors. The results include percentages of total deaths, age-standardized death rates per 100,000 population, and uncertainty intervals (UIs). Time trends were assessed using annual percent change. RESULTS: In 2019, CVDs and neoplasms accounted for 33.54% and 30.15% of Western Europe's total deaths, with age-standardized death rates of 128.05 (95% UI: 135.37, 113.02) and 137.51 (95% UI: 142.54, 128.01) per 100,000. Over 1990-2019, CVDs rates decreased by 54.97%, and neoplasms rates decreased by 19.54%. Top CVDs subtypes were ischemic heart disease and stroke; top cancers for neoplasms were lung and colorectal. Highest CVD death burdens were in Finland, Greece, Austria; neoplasm burdens in Monaco, San Marino, Andorra. The major risk factors were metabolic (CVDs) and behavioral (neoplasms). Gender differences revealed higher CVDs death burden in males, while neoplasms burden varied by risk factors and age groups. CONCLUSION: In 2019, CVDs and neoplasms posed significant health risks in Western Europe, with variations in death burdens and risk factors across genders, age groups, and countries. Future interventions should target vulnerable groups to lessen the impact of CVDs and neoplasms in the region.

Association Between Coronary Assessment in Heart Failure and Clinical Outcomes Within a Safety-Net Setting Using a Target Trial Emulation Observational Design.

BACKGROUND: Ischemic cardiomyopathy is the leading cause of heart failure (HF). Most patients do not undergo coronary assessment after HF diagnosis. There are no randomized clinical trials of coronary assessment after HF diagnosis. METHODS: Using an electronic health record cohort of all individuals with HF within the San Francisco Health Network from 2001 to 2019, we identified factors associated with coronary assessment. Then, we studied the association of coronary assessment within 30 days of HF diagnosis with all-cause mortality and a composite of mortality and emergent angiography using a target trial emulation observational comparative-effectiveness approach. Target trial emulation is an approach to causal inference based on creating a hypothetical randomized clinical trial protocol and using observational data to emulate the protocol. We used propensity scores for covariate adjustment. We used national death records to improve the ascertainment of mortality and included falsification end points for the cause of death. RESULTS: Among 14 829 individuals with HF (median, 62 years old; 5855 [40%] women), 3987 (26.9%) ever completed coronary assessment, with 2467/13 301 (18.5%) with unknown coronary artery disease status at HF diagnosis assessed. Women, older individuals, and people without stable housing were less likely to complete coronary assessment. Among 5972 eligible persons of whom 627 underwent early elective coronary assessment, coronary assessment was associated with lower mortality (hazard ratio, 0.84 [95% CI, 0.72-0.97]; P=0.025), reduced risk of the composite outcome (hazard ratio, 0.86 [95% CI, 0.73-1.00]), higher rates of revascularization (odds ratio, 7.6 [95% CI, 5.4-10.6]), and higher use of medical therapy (odds ratio, 2.5 [95% CI, 1.7-3.6]), but not the falsification end points. CONCLUSIONS: In a safety-net population, disparities in coronary assessment after HF diagnosis are not fully explained by coronary artery disease risk factors. Early coronary assessment is associated with improved HF outcomes possibly related to higher rates of revascularization and guideline-directed medical therapy but with low certainty that this finding is not attributable to unmeasured confounding.

Burden and distribution of mortality due to sepsis and severe infection in children and adolescents in Aotearoa/New Zealand.

AIM: The aims of this research were to determine the mortality from sepsis and severe infection in the paediatric and adolescent populations of Aotearoa/New Zealand, and to determine the distribution of mortality by sub-populations. METHODS: We used three different methods to identify deaths from sepsis and severe infection and compared the groups: All deaths primarily coded with any ICD-10-AM code relating to sepsis; The presence of A40, A41 and P36 in any cause of death field; Deaths due to pneumonia and meningitis. Cases were selected from a national mortality database, with cause of death as ascribed in the national mortality collection for the years 2002-2020 inclusive. Overall sepsis and severe infection rates were calculated from the sum of unique cases from all three methods for determining sepsis and severe infection cases. RESULTS: Substantially different results were obtained depending on the method of identifying cases. In total, 577 deaths due to sepsis and severe infection were detected, with an overall rate of 1.99/100 000 age-specific population and statistically significant disparity by ethnic grouping. Rates were highest in post-neonatal infants at 22.7 per 100 000, regardless of the method of identification. CONCLUSIONS: There is a considerable opportunity to improve the mortality from sepsis and severe infection in children and young people. The ethnic disparities described in this paper show the need to ensure a high level of care for those most marginalised in society through the development and provision of systems and structures that meet, rather than fail to meet need.

Symptom burden, service use and care dissatisfaction among older adults with cancer, cardiovascular disease, respiratory disease, dementia and neurological disease during the last 3 months before death: A pooled analysis of mortality follow-back surveys.

BACKGROUND: Variation in the provision of care and outcomes in the last months of life by cancer and non-cancer conditions is poorly understood. AIMS: (1) To describe patient conditions, symptom burden, practical problems, service use and dissatisfaction with end-of-life care for older adults based on the cause of death. (2) To explore factors related to these variables focussing on the causes of death. DESIGN: Secondary analysis of pooled data using cross-sectional mortality follow-back surveys from three studies: QUALYCARE; OPTCare Elderly; and International Access, Right, and Empowerment 1. SETTING/PARTICIPANTS: Data reported by bereaved relatives of people aged ⩾75 years who died of cancer, cardiovascular disease, respiratory disease, dementia or neurological disease. RESULTS: The pooled dataset contained 885 responses. Overall, service use and circumstances surrounding death differed significantly across causes of death. Bereaved relatives reported symptom severity from moderate to overwhelming in over 30% of cases for all causes of death. Across all causes of death, 28%-38% of bereaved relatives reported some level of dissatisfaction with care. Patients with cardiovascular disease and dementia experienced lower symptom burden and dissatisfaction than those with cancer. The absence of a reliable key health professional was consistently associated with higher symptom burden (p = 0.002), practical problems (p = 0.001) and dissatisfaction with care (p = 0.001). CONCLUSIONS: We showed different trajectories towards death depending on cause. Improving symptom burden and satisfaction in patients at the end-of-life is challenging, and the presence of a reliable key health professional may be helpful.

[Socioeconomic deprivation and premature mortality in Germany, 1998-2021 : An ecological study with what-if scenarios of inequality reduction]. / Sozioökonomische Deprivation und vorzeitige Sterblichkeit in Deutschland 1998­2021 : Eine ökologische Studie mit What-if-Szenarien der Ungleichheitsreduktion.

BACKGROUND: Earlier mortality in socioeconomically disadvantaged population groups represents an extreme manifestation of health inequity. This study examines the extent, time trends, and mitigation potentials of area-level socioeconomic inequalities in premature mortality in Germany. METHODS: Nationwide data from official cause-of-death statistics were linked at the district level with official population data and the German Index of Socioeconomic Deprivation (GISD). Age-standardized mortality rates before the age of 75 were calculated stratified by sex and deprivation quintile. A what-if analysis with counterfactual scenarios was applied to calculate how much lower premature mortality would be overall if socioeconomic mortality inequalities were reduced. RESULTS: Men and women in the highest deprivation quintile had a 43% and 33% higher risk of premature death, respectively, than those in the lowest deprivation quintile of the same age. Higher mortality rates with increasing deprivation were found for cardiovascular and cancer mortality, but also for other causes of death. Socioeconomic mortality inequalities had started to increase before the COVID-19 pandemic and further exacerbated in the first years of the pandemic. If all regions had the same mortality rate as those in the lowest deprivation quintile, premature mortality would be 13% lower overall. DISCUSSION: The widening gap in premature mortality between deprived and affluent regions emphasizes that creating equivalent living conditions across Germany is also an important field of action for reducing health inequity.

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021.

BACKGROUND: Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS: The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION: Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING: Bill & Melinda Gates Foundation.