[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.

Educational inequalities in all-cause and cause-specific mortality in Japan: national census-linked mortality data for 2010-15.

BACKGROUND: Due to the lack of a national mortality inequality monitoring framework, the overall picture in Japan remains unclear. Here, we investigated educational inequalities in mortality and their cause-specific contribution in Japan. METHOD: Data were obtained by linking the 2010 Japanese population census and death records between 1 October 2010 and 30 September 2015. We included 7 984 451 Japanese people aged 30-79 years who had a unique 'matching key' generated by sex, birth year/month, address (municipality), marital status and age of spouse (9.9% of the total census population). We computed population-weighted all-cause and cause-specific age-standardized mortality rates (ASMRs) by education level. In addition, we calculated the slope index of inequality (SII), relative index inequality (RII) by education level, and population attributable fraction (PAF) referenced with the highest education (e.g. university graduation). RESULTS: Individuals with less education had higher all-cause and cause-specific ASMRs than highly educated individuals. All-cause SII (per 100 000 person-years) values were 433 (95% CI: 410-457) for men and 235 (95% CI: 217-252) for women. RII values were 1.48 (95% CI: 1.45-1.51) for men and 1.47 (95% CI: 1.43-1.51) for women. Estimated PAFs, excess premature deaths caused by educational inequalities, were 11.6% for men and 16.3% for women, respectively. Cerebrovascular diseases, ischaemic heart diseases and lung cancer were the major contributors to mortality inequalities for both sexes. CONCLUSIONS: This first census-based comprehensive report on cause-specific educational mortality inequalities suggested that differences in unfavourable health risk factors by educational background might be associated with these inequalities in Japan.

The Characterization of Violent Deaths Among Asian and Pacific Islander Americans.

INTRODUCTION: Health disparities in the Asian and Pacific Islander Americans (APIAs) community have not been well described, unlike non-Hispanic Black and Hispanic communities. However, there has been a rise in violence against the APIA community. This study explores and characterizes violent death by incident (e.g., homicide, suicide), weapon (e.g., firearm, strangulation), and location types among APIAs as they compare with other racial or ethnic groups. METHODS: We used the National Violent Death Reporting System from 2003 to 2018 to characterize violent deaths among APIA and compared them to all other races. We compared these racial categories in two ways. First, we compared all races as a categorical variable that included six non-Hispanic racial categories including "Other or unspecified" and "two or more races. We then created a binary variable of APIA versus All Other Races for analysis. We explored the incident type of death, substance abuse disorders, mental health history, and gang involvement among other variables. We used Chi-square tests for categorical variables and Mann-Whitney U-tests for continuous variables. RESULTS: Overall, APIAs had a unique pattern of violent death. APIAs were more likely to commit suicide (71.74%-62.21%, P<0.001) and less likely to die of homicide than other races (17.56%-24.31%, P<0.001). In the cases of homicide, APIAs were more likely to have their deaths precipitated by another crime (40.87% versus 27.87%, P < 0.001). APIAs were more than twice as likely to die of strangulation than other races (39.93%-18.06%, P<0.001). Conversely, APIAs were less likely to die by firearm than other races (29.69-51.51, P<0.001). CONCLUSIONS: APIAs have a unique pattern of violence based on analysis of data from the National Violent Death Reporting System. Our data reveal a significant difference in the incident, weapon and location type as compared to Americans of other races, which begs further inquiry into the patterns of change in time and factors that contribute to inter-racial differences in death patterns.

The contributions of avoidable causes of death to gender gap in life expectancy and life disparity in the US and Canada: 2001-2019.

OBJECTIVES: This study measures public health policies' and healthcare system's influence, by assessing the contributions of avoidable deaths, on the gender gaps in life expectancy and disparity (GGLD and GGLD, respectively) in the United States (US) and Canada from 2001 to 2019. METHODS: To estimate the GGLE and GGLD, we retrieved age- and sex-specific causes of death from the World Health Organization's mortality database. By employing the continuous-change model, we decomposed the GGLE and GGLD by age and cause of death for each year and over time using females as the reference group. RESULTS: In Canada and the US, the GGLE (GGLD) narrowed (increased) by 0.9 (0.2) and 0.2 (0.3) years, respectively. Largest contributor to the GGLE was non-avoidable deaths in Canada and preventable deaths in the US. Preventable deaths had the largest contributions to the GGLD in both countries. Ischemic heart disease contributed to the narrowing GGLE/GGLD in both countries. Conversely, treatable causes of death increased the GGLE/GGLD in both countries. In Canada, "treatable & preventable" as well as preventable causes of death narrowed the GGLE while opposite was seen in the US. While lung cancer contributed to the narrowing GGLE/GGLD, drug-related death contributed to the widening GGLE/GGLD in both countries. Injury-related deaths contributed to the narrowing GGLE/GGLD in Canada but not in the US. The contributions of avoidable causes of death to the GGLE declined in the age groups 55-74 in Canada and 70-74 in the US, whereas the GGLE widened for ages 25-34 in the US. CONCLUSION: Canada experienced larger reduction in the GGLE compared to the US attributed mainly to preventable causes of death. To narrow the GGLE and GGLD, the US needs to address injury deaths. Urgent interventions are required for drug-related death in both countries, particularly among males aged 15-44 years.

Cause-of-Death Determinants of Lifespan Inequality.

We propose a novel decomposition approach that breaks down the levels and trends of lifespan inequality as the sum of cause-of-death contributions. The suggested method shows whether the levels and changes in lifespan inequality are attributable to the levels and changes in (1) the extent of inequality in the cause-specific age-at-death distribution (the "Inequality" component), (2) the total share of deaths attributable to each cause (the "Proportion" component), or (3) the cause-specific mean age at death (the "Mean" component). This so-called Inequality-Proportion-Mean (or IPM) method is applied to 10 low-mortality countries in Europe. Our findings suggest that the most prevalent causes of death (in our setting, "circulatory system" and "neoplasms") do not necessarily contribute the most to overall levels of lifespan inequality. In fact, "perinatal and congenital" causes are the strongest drivers of lifespan inequality declines. The contribution of the IPM components to changes in lifespan inequality varies considerably across causes, genders, and countries. Among the three components, the Mean one explains the least lifespan inequality dynamics, suggesting that shifts in cause-specific mean ages at death alone contributed little to changes in lifespan inequality.

Socioeconomic inequalities in avoidable mortality in Italy: results from a nationwide longitudinal cohort.

BACKGROUND: Disparities in avoidable mortality have never been evaluated in Italy at the national level. The present study aimed to assess the association between socioeconomic status and avoidable mortality. METHODS: The nationwide closed cohort of the 2011 Census of Population and Housing was followed up for 2012-2019 mortality. Outcomes of preventable and of treatable mortality were separately evaluated among people aged 30-74. Education level (elementary school or less, middle school, high school diploma, university degree or more) and residence macro area (North-West, North-East, Center, South-Islands) were the exposures, for which adjusted mortality rate ratios (MRRs) were calculated through multivariate quasi-Poisson regression models, adjusted for age at death. Relative index of inequalities was estimated for preventable, treatable, and non-avoidable mortality and for some specific causes. RESULTS: The cohort consisted of 35,708,459 residents (48.8% men, 17.5% aged 65-74), 34% with a high school diploma, 33.5% living in the South-Islands; 1,127,760 deaths were observed, of which 65.2% for avoidable causes (40.4% preventable and 24.9% treatable). Inverse trends between education level and mortality were observed for all causes; comparing the least with the most educated groups, a strong association was observed for preventable (males MRR = 2.39; females MRR = 1.65) and for treatable causes of death (males MRR = 1.93; females MRR = 1.45). The greatest inequalities were observed for HIV/AIDS and alcohol-related diseases (both sexes), drug-related diseases and tuberculosis (males), and diabetes mellitus, cardiovascular diseases, and renal failure (females). Excess risk of preventable and of treatable mortality were observed for the South-Islands. CONCLUSIONS: Socioeconomic inequalities in mortality persist in Italy, with an extremely varied response to policies at the regional level, representing a possible missed gain in health and suggesting a reassessment of priorities and definition of health targets.

Childhood Factors Associated With Unnatural Death Through Midadulthood.

Importance: Life expectancy is decreasing in the US. Without national efforts to address factors that support policies and programs directed at children living in areas of concentrated poverty, life expectancy will likely continue to decline while costs and suffering associated with unnatural deaths will increase. Objective: To identify which childhood factors are associated with death from unnatural causes through midadulthood. Design, Setting, and Participants: For this cohort study, longitudinal data on childhood characteristics came from a group-randomized intervention trial implemented in Baltimore City Public Schools, Baltimore, Maryland (baseline 1985-1986; all students entering first grade were selected to participate at age 6 years). Participants were followed up to midadulthood with a National Death Index search through December 31, 2020. Data analysis was performed from February to May 2023. Exposures: Exposures included individual factors (ie, sociodemographic characteristics, teacher-reported aggressive behavior, self-reported depression, anxiety, early alcohol and cannabis use, and assaultive violence exposure), family and peer factors (ie, household structure and education level, deviant peer affiliation, and parental monitoring), and neighborhood factors (ie, rates of neighborhood assault and public assistance). Main Outcomes and Measures: The main outcome was unnatural death, defined as death due to unintentional injury, suicide, and homicide. A National Death Index search ascertained participants who died by age 41 to 42 years and cause of death. Multivariable Cox proportional hazards models were used to identify whether the exposures were independently associated with future mortality by unnatural causes. Results: The initial trial included 2311 children, and longitudinal data were available for 2180 participants (median [IQR] age in first grade, 6.3 [6.0-6.5] years; 1090 female [50.0%]; 1461 Black [67.0%]; 1168 received free or reduced lunch in first grade [53.6%]). A total of 111 male participants (10.2%) and 29 female participants (2.7%) died; among those who died, 96 male participants (86.5%) and 14 female participants (48.3%) died of unnatural causes. Two factors remained significantly associated with mortality from unnatural causes: female sex was associated with reduced risk (hazard ratio, 0.13; 95% CI, 0.08-0.22), and neighborhood public assistance was associated with increased risk (hazard ratio, 1.89; 95% CI, 1.09-3.30). Conclusions and Relevance: In this urban population-based cohort study, no modifiable risk factors of mortality at the level of the individual (eg, depression or anxiety and substance use) or the family (eg, household education level) were identified. However, the degree of neighborhood poverty in early childhood was significantly associated with death by unnatural causes in early adulthood, suggesting that economic policies are needed to advance health equity in relation to premature mortality.

Trends in socioeconomic inequalities in cause-specific premature mortality in Belgium, 1998-2019.

BACKGROUND: Higher levels of socioeconomic deprivation have been consistently associated with increased risk of premature mortality, but a detailed analysis by causes of death is lacking in Belgium. We aim to investigate the association between area deprivation and all-cause and cause-specific premature mortality in Belgium over the period 1998-2019. METHODS: We used the 2001 and 2011 Belgian Indices of Multiple Deprivation to assign statistical sectors, the smallest geographical units in the country, into deprivation deciles. All-cause and cause-specific premature mortality rates, population attributable fraction, and potential years of life lost due to inequality were estimated by period, sex, and deprivation deciles. RESULTS: Men and women living in the most deprived areas were 1.96 and 1.78 times more likely to die prematurely compared to those living in the least deprived areas over the period under study (1998-2019). About 28% of all premature deaths could be attributed to socioeconomic inequality and about 30% of potential years of life lost would be averted if the whole population of Belgium faced the premature mortality rates of the least deprived areas. CONCLUSION: Premature mortality rates have declined over time, but inequality has increased due to a faster pace of decrease in the least deprived areas compared to the most deprived areas. As the causes of death related to poor lifestyle choices contribute the most to the inequality gap, more effective, country-level interventions should be put in place to target segments of the population living in the most deprived areas as they are facing disproportionately high risks of dying.

Disproportionate burden of violence: Explaining racial and ethnic disparities in potential years of life lost among homicide victims, suicide decedents, and homicide-suicide perpetrators.

Research indicates that the burden of violent death in the United States is disproportionate across racial and ethnic groups. Yet documented disparities in rates of violent death do not capture the full extent of this inequity. Recent studies examining race-specific rates of potential years of life lost-a summary measure of premature mortality-indicate that persons of color may die at younger ages than their counterparts, leading to increased trauma among surviving family members, friends, and communities. This study examines racial and ethnic disparities in potential years of life lost among people who died by homicide and suicide. We calculated potential years of life lost using life expectancy values specific to each racial and ethnic group, thereby isolating racial differences in potential years of life lost due to violence. Findings indicated that persons of color were disproportionately impacted by violence. Non-Hispanic African American homicide victims, suicide decedents, and homicide-suicide perpetrators died eleven or more years earlier than their non-Hispanic White counterparts. Similar disparities were observed for non-Hispanic Asian or Pacific Islander decedents. Less pronounced differences were observed for Hispanic and non-Hispanic American Indian or Alaska Native decedents. These racial and ethnic disparities were partly accounted for by a broad array of individual differences, incident characteristics, and contextual factors. The results suggest that homicide and suicide exact a high societal cost, and the burden of that cost is disproportionately high among persons of color.

Unveiling the silent crisis: global burden of suicide-related deaths among children aged 10-14 years.

BACKGROUND: The rise in suicides among children aged 10-14 years demands urgent attention globally. This study aims to assess the global burden of suicide-related deaths in this age group from 1990 to 2019, considering factors such as sex, geography, and sociodemographics, to inform prevention strategies and interventions. METHODS: The data from Global Burden of Disease 2019, encompassing 204 countries and territories, were analyzed to investigate deaths and years of life lost (YLLs) due to suicide among children aged 10-14 years. Statistical analyses, including mortality rates, YLLs, and the sociodemographic index (SDI), were conducted using standardized tools. RESULTS: In 2019, a total of 8327 [95% uncertainty interval (UI) = 7073-9685] children aged 10-14 years died globally due to suicide, with a mortality rate of 1.30 (95% UI = 1.10-1.51) per 100,000. The rates varied across countries/territories ranging between 0.05 (95% UI = 0.02-0.10) in South Africa and 7.49 (95% UI = 5.13-10.57) in Greenland. The contribution of suicide-related deaths to all-cause mortality ranged from 0.07% (95% UI = 0.04%-0.15%) in South Africa to 33.02% (95% UI = 24.36%-41.53%) in Greenland. Worldwide, there were approximately 636,196 (95% UI = 540,383-740,009) YLLs due to suicide, with a rate of 99.07 (95% UI = 84.15-115.23) per 100,000. The association between SDI and suicide-related deaths was evident, with higher contributions observed in countries with higher SDI. CONCLUSIONS: This study reveals a concerning global burden of suicide-related deaths among children aged 10-14 years. Despite progress in reducing mortality rates, suicide remains a significant issue. While overall rates have declined, the percentage of deaths caused by suicide in this age group is increasing.

Contribution of causes of death to changing inequalities in life expectancy by income in Finland, 1997-2020.

BACKGROUND: Socioeconomic inequalities in mortality originate from different causes of death. Alcohol-related and smoking-related deaths are major drivers of mortality inequalities across Europe. In Finland, the turn from widening to narrowing mortality disparities by income in the early 2010s was largely attributable to these causes of death. However, little is known about recent inequalities in life expectancy (LE) and lifespan variation. METHODS: We used individual-level total population register-based data with annual information on disposable household income and cause-specific mortality for ages 30-95+, and assessed the contribution of smoking on mortality using the Preston-Glei-Wilmoth method. We calculated trends in LE at age 30 and SD in lifespan by income quintile in 1997-2020 and conducted age and cause-of-death decompositions of changes in LE. RESULTS: Disparity in LE and lifespan variation by income increased in 2015-2020, largely attributable to the stagnation of both measures in the lowest income quintile. The LE gap between the extreme quintiles in 2018-2020 was 11.2 (men) and 5.9 (women) years, of which roughly 40% was attributable to alcohol and smoking. However, the recent widening of the gap and the stagnation in LE in the lowest quintile over time were not driven by any specific cause-of-death group. CONCLUSIONS: After a decade of narrowing inequalities in LE and lifespan variation in Finland, the gaps between income groups are growing again. Increasing LE disparity and stagnating mortality on the lowest income levels are no longer attributable to smoking and alcohol-related deaths but are more comprehensive, originating from most cause-of-death groups.

Maternal Deaths Using Coroner's Data: A Latent Class Analysis.

OBJECTIVE: Knowledge regarding the antecedent clinical and social factors associated with maternal death around the time of pregnancy is limited. This study identified distinct subgroups of maternal deaths using population-based coroner's data, and that may inform ongoing preventative initiatives. METHODS: A detailed review of coroner's death files was performed for all of Ontario, Canada, where there is a single reporting mechanism for maternal deaths. Deaths in pregnancy, or within 365 days thereafter, were identified within the Office of the Chief Coroner for Ontario database, 2004-2020. Variables related to the social and clinical circumstances surrounding the deaths were abstracted in a standardized manner from each death file, including demographics, forensic information, nature and cause of death, and antecedent health and health care factors. These variables were then entered into a latent class analysis (LCA) to identify distinct types of deaths. RESULTS: Among 273 deaths identified in the study period, LCA optimally identified three distinct subgroups, namely, (1) in-hospital deaths arising during birth or soon thereafter (52.7% of the sample); (2) accidents and unforeseen obstetric complications also resulting in infant demise (26.3%); and (3) out-of-hospital suicides occurring postpartum (21.0%). Physical injury (22.0%) was the leading cause of death, followed by hemorrhage (16.8%) and overdose (13.3%). CONCLUSION: Peri-pregnancy maternal deaths can be classified into three distinct sub-types, with somewhat differing causes. These findings may enhance clinical and policy development aimed at reducing pregnancy mortality.

Mortality by avoidable causes in Brazil from 1990 to 2019: data from the Global Burden of Disease Study.

OBJECTIVES: The aim of this study was to analyse the trends of avoidable mortality in Brazil from 1990 to 2019 and its correlation with sociodemographic indexes (SDIs). STUDY DESIGN: Epidemiological mortality trends. METHODS: This study analysed data from the Global Burden of Disease database. The list of causes of avoidable death, as proposed by Nolte and McKee, was applied and included 32 causes. The current study used age-standardised mortality rates and the rates of change, in addition to a correlation analysis between avoidable death and the SDI. RESULTS: Mortality rates decreased from 343.90/100,000 inhabitants in 1990 to 155.80/100,000 inhabitants in 2019. Infectious diseases showed the largest decline in mortality rates, but notable decreases were also found for diarrhoeal diseases (-94.9%), maternal conditions (-66.5%) and neonatal conditions (-60.5%). Mortality rates for non-communicable diseases (NCDs) also decreased (-48%) but maintained a similar absolute number of deaths in 2019 compared with 1990. Decreased mortality rates were also found for ischaemic heart disease (-49.1%), stroke (-61.4%) and deaths due to adverse effects caused by medical treatments (-26.2%). Avoidable mortality rates declined in all of the 27 Brazilian states, and a high correlation was found between deaths and SDI (R = -0.74; P < 0.000001). CONCLUSIONS: A reduction in avoidable deaths was found throughout Brazil over the study period, although major regional inequalities were revealed. Richer states presented the best overall reduction in mortality rates. The biggest decreases in mortality were seen in maternal and paediatric infectious diseases in the poorest states due to the expansion of the Primary Health System and improvements in sanitation. Today, NCDs predominate and efforts should be made to formulate public policies for the prevention and control of NCDs.

Cause-Specific Mortality and Racial Differentials in Life Expectancy, Chicago 2018-2019.

BACKGROUND: In Chicago in 2018, the average life expectancy (ALE) for NH Blacks was 71.5 years, 9.1 fewer years than for NH Whites (80.6 years). Inasmuch as some causes of death are increasingly recognized products of structural racism, in urban areas, such causes may have potential for reducing racial inequities through public health intervention. Our purpose is to allocate racial inequities in ALE in Chicago to differentials in cause-specific mortality. METHODS: Using multiple decrement processes and decomposition analysis, we examine cause-specific mortality in Chicago to determine the causes of death that contribute to the gap in life expectancy between NH Blacks and NH Whites. RESULTS: Among females, the racial difference in ALE was 8.21 years; for males, it was 10.53 years. We find that cancer and heart disease mortality account for 3.03 years or 36% of the racial gap in average life expectancy among females. Differences in homicide and heart disease mortality rates comprised over 45% of the disparity among males. CONCLUSIONS: Strategies for improving inequities in life expectancy should account for differences between males and females in cause-specific mortality rates. In urban areas with high levels of segregation, reducing inequities in ALE may be possible by dramatically reducing mortality rates from some causes. CONTRIBUTION: This paper illustrates the state of inequities in ALE between NH Blacks and NH Whites in Chicago for the period just prior to the onset of the COVID-19 pandemic, using a well-established method of decomposing mortality differentials for sub-populations.

Racial Disparity among Youth Decedents of Legal Intervention Trauma.

BACKGROUND: Legal intervention trauma (LIT) is defined as injury due to any encounter with law enforcement. This study investigates associations between demographics, violent status, and law enforcement tactics among youth decedents of LIT. STUDY DESIGN: Decedents of LIT age 26 years or younger were identified using the CDC's National Violent Death Reporting System from 2003 to 2018. Decedents were classified as "violent" if they possessed a weapon, were committing a violent crime, or if law enforcement reported justified use of force. All others were classified as "nonviolent." Law enforcement tactics were stratified into "lethal" (firearm with standard ammunition) or "less lethal" (any other) force. Differences in the racial distribution across these classifications were assessed using chi-square tests of proportions. RESULTS: We identified 1,281 youth decedents of LIT; of which, 92.5% met violent criteria. Black youths were less likely than White youths to possess a weapon (71.6% vs 77.4%, p = 0.02) and were not more likely to be committing a violent crime (63.6% vs 60.4%, p = 0.27). They were, however, more likely than White youths to experience force reported as justified by law enforcement (89.9% vs 82.4%, p = 0.002) and to experience exclusively lethal force not preceded by less-lethal tactics (94.0% vs 88.7%, p = 0.001). Among the subset of 85 cases where law enforcement reported justified use of force despite the decedent not possessing a weapon or committing a violent crime, the precipitating event was more often a traffic stop for Black youths than for White youths (28.5% vs 6.66%, p = 0.02). CONCLUSIONS: These findings indicate a racial disparity among youth decedents of LIT.

Rural versus urban outcomes following transcatheter aortic valve implantation: The importance of the heart team.

BACKGROUND: Rural patients face known healthcare disparities and worse cardiovascular outcomes compared to urban residents due to inequitable access and delayed care. Few studies have assessed rural-urban differences in outcomes following Transcatheter Aortic Valve Implantation (TAVI). We compared short-term post-TAVI outcomes between rural and urban patients. METHODS: We performed a retrospective analysis of n = 413 patients who underwent TAVI at our large academic medical center, between 2011 and 2020 (rural/urban patients = 93/320. Rural/urban males = 53/173). Primary outcomes were all-cause mortality and cardiovascular mortality. Secondary outcomes included stroke/transient ischemic attack, myocardial infarction, atrial fibrillation, acute kidney injury, bleeding, vascular complications, and length of stay. RESULTS: The mean age in years was 77 [IQR 70-82] for rural patients and 78 [IQR 72-84] for urban patients. Baseline characteristics were similar between groups, except for a greater frequency of active smokers and diabetics as well as a greater body mass index in the rural group. There were no statistically significant differences in all-cause or cardiovascular mortality between the groups. There was also no statistically significant difference in secondary outcomes. CONCLUSION: Rural and urban patients had no statistically significant difference in all-cause mortality or cardiovascular mortality following TAVI. Given its minimally invasive nature and quality-centric, multidisciplinary care provided by the TAVI Heart Teams, TAVI may be the preferred modality for the treatment of severe aortic stenosis in rural populations.

The burden of diseases and risk factors in Bangladesh, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.

BACKGROUND: Bangladesh has made substantial progress in improving socioeconomic and health indicators over the past 50 years, but data on national disease burden are scarce. We used data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to estimate the burden of diseases and risk factors in Bangladesh from 1990 to 2019. METHODS: For this systematic analysis, we analysed data from vital registration systems, surveys, and censuses using multistage modelling processes to estimate life expectancy at birth, mortality rate, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs). Additionally, we compared the health status of Bangladesh with that of the other countries in the GBD south Asia region-Bhutan, India, Nepal, and Pakistan. FINDINGS: Life expectancy at birth in Bangladesh increased from 58·2 years (95% uncertainty interval 57·1-59·2) in 1990 to 74·6 years (72·4-76·7) in 2019. Between 1990 and 2019, the age-standardised mortality rate decreased from 1509·3 (1428·6-1592·1) to 714·4 (604·9-838·2) deaths per 100 000 population. In 2019, non-communicable diseases represented 14 of the top 20 causes of death; the leading three causes were stroke, ischaemic heart disease, and chronic obstructive pulmonary disease. High blood pressure, high fasting plasma glucose, and smoking were the top three risk factors. From 1990 to 2019, the rate of all-cause DALYs decreased by 54·9% (48·8-60·4). In 2019, the leading causes of DALYs and YLLs were neonatal disorders, stroke, and ischaemic heart disease, whereas musculoskeletal disorders, depressive disorders, and low back pain were the leading causes of YLDs. Bangladesh has the lowest age-standardised rates of mortality, YLDs, and YLLs and the highest life expectancy at birth in south Asia. INTERPRETATION: Over the past 30 years, mortality rates have reduced by more than half in Bangladesh. Bangladesh must now address the double burden of communicable and non-communicable diseases. Cost-effective, multisectoral efforts are needed to prevent and control non-communicable diseases, promote healthy lifestyles, and prevent premature mortality and disabilities. FUNDING: Bill & Melinda Gates Foundation. TRANSLATION: For the Bangla translation of the abstract see Supplementary Materials section.

Verbal autopsy to assess causes of mortality among the economically productive age group in the tribal region of Melghat, central India.

Background & Objectives: Verbal autopsy (VA) is the systematic and retrospective inquiry (from relatives) about the symptoms of an illness prior to death. In tribal India, 67-75 per cent of deaths occur at home with an unknown cause of death (CoD). Hence, the aim of this study was to determine the CoD in the 16-60 yr age group utilizing VA. Methods: A prospective, community based longitudinal study was conducted in 32 tribal villages in the Melghat region of Maharashtra, between 2004 and 2020. Number of deaths and VAs in 16-60 yr age group were collected by village health workers (VHWs) and supervisors, verified by five different persons (internal-external) and cross-checked by three VA interpretation trained physicians. A modified version of WHO VA was used. Cause-specific mortality fractions were calculated. Results: Of the 1011 deaths recorded, mortality in males was significantly higher than females (P<0.001). A total of 763 VAs were conducted which revealed that tuberculosis was the leading CoD, followed by jaundice, heart diseases, diarrhoea, central nervous system infections and suicide. Suicides were significantly more common among males than in females (P=0.046). Significantly, more deaths occurred during the monsoon (P=0.002), especially diarrhoeal deaths (P=0.024). Interpretation & conclusions: The findings of this study suggest that, in Indian tribal areas, infectious diseases are the leading causes of morbidity and one of the major causes of deaths in economically productive age group. Intensified VHW-mediated interventions are required to reduce the premature deaths.

Assessment of the aortic tunica media histological changes in relation with the cause of death.

AIM: The authors set out to evaluate the correlations between three of the main morphological aortic parameters (elastic fibers - FE, collagen fibers - FCOL, and smooth muscle fibers - FM) and the cause of death. MATERIALS AND METHODS: Study groups included 25 cases died of a vascular disease (V_P), 37 cases died of a non-vascular disease (NV_P) and 28 cases died of a violent/suspect non-pathological cause of death (V_Dth), the latter group representing also the control group. Four aortic cross-sections (base, arch, thoracic, and abdominal regions) were collected during autopsy from the selected cases, fixed in 10% buffered formalin and first of all photographed together with a calibrating ruler. Then, they were embedded in paraffin, sectioned off at 4 µm and stained with Hematoxylin-Eosin (HE) and Orcein. The obtained histological slides were transformed into virtual slides. Fibrillary components amounts were using a custom-made software, developed in MATLAB (MathWorks, USA). Statistical tools used were Pearson's correlation test, t-test (two-sample assuming equal variances) and one-way analysis of variance (ANOVA) test. RESULTS AND DISCUSSIONS: The amounts of the three fibrillary components of the aortic tunica media had a synchronous variation in all aortic regions in each of the three groups, excepting FCOL in the group of patients died from vascular pathology, which presented only a trend of synchronous variation along the aorta. FE had their lowest values and FCOL had their highest values in patients died from vascular pathology. FCOL had always higher levels than FE in people died from any pathological condition, vascular or non-vascular. FM had always at least two times lower level than that of the other types of fibers, regardless of whether the person died due to a pathological condition or not. CONCLUSIONS: The different pathological conditions causing death are influencing the fibrillary composition of aortic tunica media. Further studies are required to reveal other changes in the morphology of aortic wall in particular and vascular wall in general that could be related with different pathological conditions affecting the entire organism.