Ill-defined Causes Research Articles

Privação material, desigualdades raciais e mortalidade por neoplasias de mama feminino, próstata e colo de útero na população adulta brasileira: um estudo ecológico

Abstract This article aims to identify the relationship between material deprivation and mortality from breast, cervical, and prostate neoplasms in the Brazilian adult population and the relationship between ethnicity/skin color and material deprivation. This cross-sectional ecological study calculated the mean mortality rate per 100,000 inhabitants, and deaths were standardized by age and gender and redistributed per to ill-defined causes, stratified by age group and ethnicity/skin color. We applied the Negative Binomial model, containing the interaction between ethnicity/skin color and the Brazilian Deprivation Index (IBP). We analyzed 85,903 deaths, and the most prevalent were those due to female breast neoplasms. The risk of death from cervical cancer was 8.5% higher for Black women than white women. In other places, mortality was higher among white people. For all causes, mortality increased with age. There was a significant interaction between ethnicity/skin color and IBP for all causes. Only deaths due to cervical neoplasms increased with higher IBP, while a decline was observed in other causes but was less significant among Black people. The IBP offers a multidimensional view of the socioeconomic conditions of the Brazilian population, allowing a better understanding of how social determinants operate on selected neoplasms.

Material deprivation, racial inequalities and mortality from female breast, prostate, and cervical neoplasm in the Brazilian adult population: an ecological study.

This article aims to identify the relationship between material deprivation and mortality from breast, cervical, and prostate neoplasms in the Brazilian adult population and the relationship between ethnicity/skin color and material deprivation. This cross-sectional ecological study calculated the mean mortality rate per 100,000 inhabitants, and deaths were standardized by age and gender and redistributed per to ill-defined causes, stratified by age group and ethnicity/skin color. We applied the Negative Binomial model, containing the interaction between ethnicity/skin color and the Brazilian Deprivation Index (IBP). We analyzed 85,903 deaths, and the most prevalent were those due to female breast neoplasms. The risk of death from cervical cancer was 8.5% higher for Black women than white women. In other places, mortality was higher among white people. For all causes, mortality increased with age. There was a significant interaction between ethnicity/skin color and IBP for all causes. Only deaths due to cervical neoplasms increased with higher IBP, while a decline was observed in other causes but was less significant among Black people. The IBP offers a multidimensional view of the socioeconomic conditions of the Brazilian population, allowing a better understanding of how social determinants operate on selected neoplasms.

Insights into the aetiology and temporal trends in cardiac mortality in the young: a 21-year review of national and registry data in the united kingdom

Abstract Background An accurate representation of the incidence and aetiology of cardiac and sudden cardiac death (SCD) is vital for healthcare policymakers to effectively allocate resources for preventative strategies. Purpose We aimed to report on the incidence and causes of cardiac and SCD among individuals under 35-years-old in England and Wales for 21 years (2001-2021), with a focus on identifying any temporal trends. Methods Annual mortality data from the Office for National Statistics (ONS) pertaining to cardiovascular (CV) and possible CV deaths in individuals under 35-years-old were analyzed using International Classification of Diseases-10 codes. Deaths were categorized into four-classes: A1- definitive cardiac deaths without identifiable structural heart disease (consistent with sudden arrhythmic death syndrome, SADS); A2- definitive cardiac deaths with identified structural heart disease; A3- definitive cardiac deaths with indeterminate cause; and B- potential cardiac deaths. Incidence rates were computed based on annual ONS census data. Additionally, insights were gleaned from the Cardiac Risk in the Young Centre for Cardiac Pathology (CRYCCP) nationwide registry. Results The mean annual number of definitive cardiac deaths (classes A1+A2+A3) was 414 (SD 27.4), resulting in an incidence of young cardiac and SCD of 1.68/100,000 individuals/year. Ischaemic heart disease (28.4%), cardiomyopathies (25.9%), and SADS (21.8%) were the most prevalent cardiac conditions. Cardiomyopathies and SADS related mortality peaked in the 10-to-19 age group, while ischaemic heart disease peaked in the 30-to-35 age group. A mean of 573 (SD 76.6) possible cardiac deaths (class B) occurred, these primarily included ill-defined causes (33.5%), epilepsy (32.4%), sudden infant death syndrome (24.2%), and drowning (7%). Definitive and possible cardiac deaths showed a male preponderance (male to female ratios: 2.3:1 and 1.6:1, respectively). A declining trend in cardiac mortality was observed with a 1.3% (95%CI: 1.0%-1.7%) incidence rate reduction/year (p<0.001). This was associated with a 2.5% annual incidence rate reduction for deaths attributed to structural heart disease (p<0.001), but an 8.5% annual incidence rate increase for deaths attributed to SADS (p<0.001). These trends corelated with increasing numbers of deaths referred to the CRYCCP where an expert cardiac pathologist diagnosed SADS in over 52% of cases. Conclusions Over 21 years in England and Wales, national datasets suggest the incidence of young cardiac and SCD is 1.68/100,000/year, with a small but appreciable declining mortality trend. The rise in SADS rates and contemporaneous decline in deaths attributed to structural heart disease may signify increased awareness and accessibility to expert cardiac pathologists. Ensuring accurate mortality coding is crucial for thoroughly assessing first-degree family members in cases of suspected inherited cardiac conditions.

Maternal Obesity and Risk of Sudden Unexpected Infant Death

Rates of maternal obesity are increasing in the US. Although obesity is a well-documented risk factor for numerous poor pregnancy outcomes, it is not currently a recognized risk factor for sudden unexpected infant death (SUID). To determine whether maternal obesity is a risk factor for SUID and the proportion of SUID cases attributable to maternal obesity. This was a US nationwide cohort study using Centers for Disease Control and Prevention National Center for Health Statistics linked birth-infant death records for birth cohorts in 2015 through 2019. All US live births for the study years occurring at 28 weeks' gestation or later from complete reporting areas were eligible; SUID cases were deaths occurring at 7 to 364 days after birth with International Statistical Classification of Diseases, Tenth Revision cause of death code R95 (sudden infant death syndrome), R99 (ill-defined and unknown causes), or W75 (accidental suffocation and strangulation in bed). Data were analyzed from October 1 through November 15, 2023. Maternal prepregnancy body mass index (BMI; calculated as weight in kilograms divided by height in meters squared). SUID. Of 18 857 694 live births eligible for analysis (median [IQR] age: maternal, 29 [9] years; paternal, 31 [9] years; gestational, 39 [2] weeks), 16 545 died of SUID (SUID rate, 0.88/1000 live births). After confounder adjustment, compared with mothers with normal BMI (BMI 18.5-24.9), infants born to mothers with obesity had a higher SUID risk that increased with increasing obesity severity. Infants of mothers with class I obesity (BMI 30.0-34.9) were at increased SUID risk (adjusted odds ratio [aOR], 1.10; 95% CI, 1.05-1.16); with class II obesity (BMI 35.0-39.9), a higher risk (aOR, 1.20; 95% CI, 1.13-1.27); and class III obesity (BMI ≥40.0), an even higher risk (aOR, 1.39; 95% CI, 1.31-1.47). A generalized additive model showed that increased BMI was monotonically associated with increased SUID risk, with an acceleration of risk for BMIs greater than approximately 25 to 30. Approximately 5.4% of SUID cases were attributable to maternal obesity. The findings suggest that infants born to mothers with obesity are at increased risk of SUID, with a dose-dependent association between increasing maternal BMI and SUID risk. Maternal obesity should be added to the list of known risk factors for SUID. With maternal obesity rates increasing, research should identify potential causal mechanisms for this association.

Method for redistributing ill-defined causes of death

Analysis of causes of death is crucial for monitoring an epidemiological situation and for developing adequate policy responses. However, the comparability of cause-specific mortality data depends on the proportion of ill-defined deaths. To eliminate the bias resulting from the varying proportions of such causes over time and between populations, deaths from ill-defined causes need to be reassigned to other categories. We provide thorough documentation of and tools for the practical implementation of a regression-based method for redistributing ill-defined causes of death, as first proposed by Sully Ledermann in the 1950s. The method relies on subnational cause-specific mortality data to estimate unbiased death rates at both national and subnational levels. We refine Ledermann’s method by elaborating on its mathematical properties, making additional adjustments, and evaluating the performance of the approach through simulations. To illustrate the practical application of the method, we rely on French subnational cause-of-death data and provide the R code for performing all calculations.

Factors associated with homicides of women in Brazil, by race or colour, 2016-2020.

This ecological, time-trend study examined rates of homicide against women residing in Brazil, by state and race/colour, from 2016 to 2020, by performing. Multiple analysis by regression model on longitudinal data. During the study period, 20,405 homicides of women were recorded in Brazil. Standardised homicides rates were higher among black women (6.1/100,000) than among white women (3.4/100,000). From 2016 to 2020, rates decreased 25.2%, from 4.7 deaths per 100,000 women in 2016 to 3.5 in 2020, with a statistically significant downward trend among both black and white women. Statistically significant inverse relationships were found between female homicide rates and HDI, illiteracy rate and proportion of ill-defined causes. The average homicide rate decreased in 2019 and 2020, as compared with 2016. Despite the decreasing time trend in homicide rates for both black and white women, they differed substantially by race, with worse outcomes for black women.

Temporal trend in fetal mortality according to two death avoidability classifications.

To analyze the temporal trend of fetal mortality and its components, of avoidable and ill-defined causes according to two avoidability classifications in Recife, Pernambuco, 2010-2021. Ecological study of temporal trends of fetal mortality in Recife, 2010-2021. The Brazilian List of Avoidable Causes of Death for fetal deaths (LBE-OF) and Brazilian List of Avoidable Causes of Death for children under five years of age (LBE < 5) were used. The Joinpoint regression model was applied to analyze the temporal trends. Trends in fetal mortality and its components were stationary. The group of avoidable causes presented higher mortality rates in both classifications, with an increasing trend according to the LBE-OF (Annual Percentage Change-APC: 2,1; p = 0,018) and stationary according to the LBE < 5. There was a decreasing trend in mortality from ill-defined causes only according to the LBE-OF (APC: -12,3; p < 0,001). The results showed the stagnation of the temporal trend in fetal mortality, the avoidability of most deaths, and the potential of LBE-OF in monitoring the quality of information on the basic causes and avoidability of fetal deaths.

Factors associated with homicides of women in Brazil, by race or colour, 2016-2020

Factors associated with homicides of women in Brazil, by race or colour, 2016-2020

A deathly silence: why has the number of people found decomposed in England and Wales been rising?

The number of deaths occurring in private homes in England and Wales had been rising for years, increasingly rapidly from 2020. Media stories and research linked decomposing bodies found in private homes with pandemic-related social isolation. We aim to explore whether these incidents are one-offs or part of a wider trend. Descriptive analysis of publicly available Office for National Statistics (ONS) data. England and Wales. All residents of England and Wales, 1979 to 2020. Using data from the Office for National Statistics, we calculate European Age Standardised Rates for deaths coded as R98 ('unattended death') and R99 ('other ill-defined and unknown causes of mortality') in the 10th version of the International Classification of Diseases (ICD-10), and the corresponding codes in ICD-9, by sex and age group from 1979 (when ICD-9 began) to 2020. These are proxy markers for deaths where decomposition precludes attribution of a specific cause at postmortem. While mortality from all other causes decreased from 1979 to 2020, the opposite was seen for deaths from R98 and R99 (or 'undefined deaths'), with men more affected than women. There was a sharp rise in these deaths in both sexes but in men particularly in the 1990s and 2000s, coinciding with a time when overall mortality was rapidly improving. The increase in people found dead from unknown causes suggests wider societal breakdowns of both formal and informal social support networks. They are concerning and warrant urgent further investigation. We call on national and international authorities to consider measures that would make it possible to identify these deaths more easily in routine data.

Road traffic death coding quality in the WHO Mortality Database.

To evaluate the precision and dependability of road traffic mortality data recorded in the World Health Organization Mortality Database and investigate how uncorrected data influence vital mortality statistics used in traffic safety programmes worldwide. We assessed country and territory-specific data quality from 2015 to 2020 by calculating the proportions of five types of nonspecific cause of death codes related to road traffic mortality. We compared age-adjusted road traffic mortality and changes in the average annual mortality rate before and after correcting the deaths with nonspecific codes. We generated road traffic mortality projections with both corrected and uncorrected codes, and redistributed the data using the proportionate method. We analysed data from 124 countries and territories with at least one year of mortality data from 2015 to 2020. The number of countries and territories reporting more than 20% of deaths with ill-defined or unknown cause was 2; countries reporting injury deaths with undetermined intent was 3; countries reporting unspecified unintentional injury deaths was 21; countries reporting unspecified transport crash deaths was 3; and countries reporting unspecified unintentional road traffic deaths was 30. After redistributing deaths with nonspecific codes, road traffic mortality changed by greater than 50% in 7% (5/73) to 18% (9/51) of countries and territories. Nonspecific codes led to inaccurate mortality estimates in many countries. We recommend that injury researchers and policy-makers acknowledge the potential pitfalls of relying on raw or uncorrected road traffic mortality data and instead use corrected data to ensure more accurate estimates when improving road traffic safety programmes.

Cardiovascular mortality in Brazil during the COVID-19 pandemic: a comparison between underlying and multiple causes of death

ObjectivesThe COVID-19 pandemic has differentially impacted cardiovascular disease (CVD) mortality worldwide. Causes of death misclassification may be one of the reasons. We evaluated the impact of the pandemic on CVD mortality in Brazil, comparing underlying causes (UCs) and multiple causes (MCs) of death. Study designEcological time-series study. MethodsAn ecological, time-series study was conducted analysing age-standardised death rates for CVD, from epidemiological week (EW) 10/2020 to 39/2021, using data from the Mortality Information System, Brazil. CVD was defined using the International Classification of Diseases (ICD-10) coding, if reported as UC or MC of death. Observed and expected data (mean for the same EW, 2017–2019) were compared. Risk ratios (RiRs) were analysed, and 95% confidence intervals (CIs) were calculated. ResultsAge-standardised mortality rate for CVD as UC of death was 165.8 (95%CI: 165.4–166.3) per 100,000 inhabitants, similar to what was expected (165.6/100,000, 95%CI: 165.2–166.1, RiR = 1.00). There was increased out-of-hospital mortality (RiR = 1.18; 95%CI: 1.17–1.19) and deaths of ill-defined causes (RiR = 1.43; 95%CI: 1.42–1.44). The increase in out-of-hospital deaths was more pronounced in the North (RiR = 1.33; 95%CI 1.30–1.36) region, with a less resilient health system. Conversely, as MCs of death, there was a 10% increase in CVD mortality (observed: 243.2 [95%CI: 242.7–243.7], expected: 221.6 [95%CI: 221.1–222.1] per 100,000). An increase also occurred in the North and Central West regions (RiR = 1.16; 95%CI: 1.15–1.18), among men (RiR = 1.11; 95%CI: 1.11–1.12) and individuals aged ≥60 years (RiR = 1.11; 95%CI: 1.10–1.11). ConclusionsDuring the pandemic, mortality rates for CVD as MCs of death increased in Brazil, whereas as UC mortality rates did not change. Higher out-of-hospital mortality, misclassification, and competing causes of death may explain this pattern.

Large Discrepancies in Dementia Mortality Reported in Vital Statistics: The Need for Improved Data to Inform Policy.

There is limited understanding of the intercountry comparability of dementia mortality data. This study compares reported dementia mortality in national vital statistics between countries and over time. In countries with low dementia reporting, this study identifies other causes to which dementia may be misclassified. Using the World Health Organization (WHO) Mortality Database, we calculated the ratio of reported to expected (Global Burden of Disease estimated) age-standardized dementia death rates in 90 countries from 2000 to 2019. Other causes to which dementia may be misclassified were identified as having relatively high cause fractions compared with other countries. No patients were involved. There is a large intercountry variation in reported dementia mortality rates. The ratio of reported to expected dementia mortality exceeded 100% in high-income countries but was below 50% in other super regions. In countries with low reported dementia mortality, cardiovascular diseases, ill-defined causes, and pneumonia have relatively high cause fractions and may be misclassified from dementia. Large discrepancies in dementia mortality reporting between countries, including often implausibly low reported mortality, makes comparison extremely difficult. Improved guidance for and training of certifiers and the use of multiple cause-of-death data can help strengthen the policy utility of dementia mortality data.

Recent changes in trends of mortality from cervical cancer in Southeastern Brazil.

To analyze the trends of cervical cancer mortality in Brazilian Southeastern states, and to compare them to Brazil and other regions between 1980 and 2020. Time series study based on data from the Sistema de Informações de Mortalidade (Brazilian Mortality Information System). Death data were corrected by proportional redistribution of deaths from ill-defined causes and cervical cancer of unspecified portion. Age-standardized and age-specific rates were calculated by screening target (25-39 years; 40-64 years) and non-target (65 years or older) age groups. Annual percentage changes (APC) were estimated by linear regression model with breakpoints. The coverage of Pap Smear exam in the Unified Health System (SUS) was evaluated between 2009 and 2020 according to age group and locality. There were increases in corrected mortality rates both in 1980 and in 2020 in all regions, with most evident increments at the beginning of the series. There was a decrease in mortality nationwide between 1980-2020; however, the state of São Paulo showed a discrete upward trend in 2014-2020 (APC=1.237; 95%CI 0.046-2.443). Noteworthy is the trend increment in the 25-39 year-old group in all study localities, being sharper in the Southeast region in 2013-2020 (APC=5.072; 95%CI 3.971-6.185). Screening coverage rates were highest in São Paulo and lowest in Rio de Janeiro, with a consistent decline from 2012 onwards at all ages. São Paulo is the first Brazilian state to show a reversal trend in mortality from cervical cancer. The changes in mortality patterns identified in this study point to the need for reorganization of the current screening program, which should be improved to ensure high coverage, quality, and adequate follow-up of all women with altered test results.

Cause-specific mortality in Spain during the pandemic: educational differences and its impact on life expectancy.

Life expectancy in Spain fell by 1 year between 2018/19 and 2020. Yet, little is known on the impact on cause-of-death (COD) dynamics and educational inequalities therein. We use individual-level death counts data by age, sex, education and multiple causes of death (MCOD) and the corresponding population exposures from national registers in Spain. Deaths were examined both as underlying cause of death (UCOD) and as contributory cause. We estimated life expectancies and lifespan inequalities by subpopulation groups and decomposed life expectancy differences between 2018/19 and 2020 by age groups and COD to assess the impact of COVID-19 (as MCOD) and major UCOD. COVID-19 contributed to a decline in male and female life expectancy in Spain between 2018/19 and 2020 (respectively, -1.7 and -1.4 years). Conversely, cancer, respiratory and circulatory system diseases and ill-defined causes as UCOD contributed to life expectancy increases. Life expectancy declines equalled -1.4 years among the low-educated in both sexes (population 30+), -1.0 and -0.7 years among middle-educated and -1.1 and -0.9 years among high-educated men and women. Without COVID-19, educational inequalities in life expectancy would have remained at similar levels, whereas lifespan variation would have been lower (-22% for women and -8% for men). Life expectancy declines in Spain in 2020 were mainly driven by COVID-19, with possible substitution effects, especially for respiratory system diseases (fewer deaths compared to 2018/19 when coded as UCOD but more as contributing cause). We therefore advocate analysing MCOD when studying changing COD patterns during the pandemic.

Can the sustainable development goals for cancer be met in Brazil? A population-based study.

A one-third reduction in premature mortality (30-69 years) from chronic noncommunicable diseases is goal 3.4 of the United Nations Sustainable Development Goals (UN SDG). The burden of NCDs is expected to continue to increase in low- and middle-income countries, including Brazil. The aim of this study was to assess geographical and temporal patterns in premature cancer mortality in Brazil between 2001 and 2015 and to predict this to 2030 in order to benchmark against the 3.4 SDG target. We used data on deaths from cancer in those aged 30-69, by age group, sex and cancer site, between 2001 and 2015 from the National Mortality Information System of Brazil (SIM). After correcting for ill-defined causes, crude and world age-standardised mortality rates per 100,000 inhabitants were calculated nationally and for the 5 regions. Predictions were calculated using NordPred, up to 2030. The difference in observed (2011-2015) and predicted (2026-2030) mortality was compared against the SDG 3.4 target. Between 2011-2015 and 2026-2030a 12.0% reduction in premature cancer age-standardised mortality rate among males and 4.6% reduction among females is predicted nationally. Across regions this varied from 2.8% among females in North region to 14.7% among males in South region. Lung cancer mortality rates are predicted to decrease among males but not among females nationally (men 28%, females 1.1% increase) and in all regions. Cervical cancer mortality rates are projected to remain very high in the North. Colorectal cancer mortality rates will increase for both sexes in all regions except the Southeast. Cancer premature mortality is expected to decrease in Brazil, but the extent of the decrease will be far from the SDG 3.4 target. Nationally, only male lung cancer will be close to reaching the SDG 3.4 target, reflecting the government's long-term efforts to reduce tobacco consumption. Projected colorectal cancer mortality increases likely reflect the epidemiological transition. This and, cervical cancer control will continue to be major challenges. These results will help inform strategic planning for cancer primary prevention, early detection and treatment programs; such initiatives should take cognizance of the regional differences highlighted here.

Methodological proposal for evaluation of death records from COVID-19

The limitation of studies on the coverage and completeness of death records is one of the main problems regarding vital statistics in Brazil. In 2020, the number of information systems on death records in Brazil increased due to the COVID-19 pandemic, generating more uncertainties about the quality of death records. This study proposed an evaluation of the quality of death records due to COVID-19. Three methodological stages were considered: estimation of deaths under-registration; redistribution of deaths from nonspecific causes (Garbage Codes), and redistribution of deaths from ill-defined causes to COVID-19 data. The proposal was applied in the State of Paraíba, Brazil, and its municipalities in 2020, by using the official records of the Brazilian Mortality Information System of the Brazilian Ministry of Health. In total, 1,281 deaths were retrieved, besides the 3,426 deaths officially recorded for Paraíba State, an increase of 37.4% in deaths from COVID-19. The proposal was effective, easy to apply, and can be used by managers of governmental spheres and people interested in it as a tool to assess the quality of death records for any geographic space, thus, contributing to a better understanding of the real effect of the pandemic.

Abstract B074: Evaluating nursing knowledge and readiness in providing care for post-9/11 veterans in civilian healthcare settings: A quality improvement project

Abstract Over three-million military service members deployed overseas in support of the post-9/11 Global War on Terror since 2001. Of those, 7,057 have been killed in action, 30,177 have committed suicide, 279,652 died from ill-defined and unknown medical causes, and 520,966 have been diagnosed with cancer. Post-9/11 veterans are 192.75% more likely to be diagnosed with cancer when compared to their civilian counterparts and are more likely to utilize civilian providers (75%) than the Department of Veterans Affairs for health care concerns. The purpose of this quality improvement project is to investigate the level of nurse knowledge, beliefs, and perceptions related to providing health care to post-9/11 veterans in civilian care settings. A descriptive project design with a 15-question survey was implemented. The survey was sent to registered nurses practicing in civilian care settings. A sample of 537 registered nurses practicing in civilian care settings responded. Findings included that 93% incorrectly chose mental health conditions as the most likely occurring condition in post-9/11 veterans, while 7% correctly chose medical illnesses as most prevalent. Nurse respondents reported a perceived prevalence of post-traumatic stress occurring more often than cancer and malignancies at a ratio of 19:1. These findings highlight the high potential for cognitive biases which may lead to misdiagnoses and delayed diagnoses in post-9/11 veterans presenting for care with medical symptoms, furthering the need for education. This quality improvement project revealed significant gaps in civilian nurses’ clinical knowledge in screening, assessing, identifying, treating, and recommending resources for post-9/11 veterans and medical-related conditions. Citation Format: Chelsey Simoni, Jack Ratliff. Evaluating nursing knowledge and readiness in providing care for post-9/11 veterans in civilian healthcare settings: A quality improvement project [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr B074.

Epidemiology of sudden infant death syndrome in Mexico, 2005-2020.

Sudden Infant Death Syndrome (SIDS) constitutes one of the main causes of mortality in children under one year of age in developed countries; it's frequency to varies geographically. In Mexico the real incidence of SIDS is not known. National databases of deaths in children under one year of age, from 2005 to 2020, were analyzed, due to Sudden Unexpected Infant Death (SUID) [SIDS (R95), accidental suffocation in a sleeping environment (W75), and other ill-defined and unspecified causes of mortality (R99), according to the International Classification of Diseases, tenth revision (ICD 10)]. Mortality rates per year of occurrence due to SUID and their subcategories were calculated. Simple frequencies of SIDS were obtained per year and month of occurrence, state of residence, age, place of death, and access to social security services. In the study period 473,545 infant deaths occurred; 7,714 (1.62%) deaths were due to SUID; of these, 6,489 (84%) were due to SIDS, which is among the 10 leading causes of infant death in Mexico. The average mortality rate for SUID was 22.4/100,000 live births, for SIDS was 18.8/100,000 live births. Mortality rates within the states were variable, ranging from 2.4/100,000 to 105.1/100,000 live births. In 81% of SIDS records there was no autopsy; 38% of deaths due to SIDS occurred in infants under one month of age, up to 87% of deaths occurred in families without social security services or it was unknown, and 76.2% of deaths occurred at home. Deaths were more frequent during the last months of autumn and during winter. In Mexico there is an underregistry of SIDS as cause of death, along with other SUID categories. Health workers need to be trained to improve diagnosis and data registration, including the practice of autopsies; additionally, it is necessary to implement a public health campaign.

Excess mortality and the COVID-19 pandemic: causes of death and social inequalities

BackgroundDuring the coronavirus diseases 2019 (COVID-19) pandemic, population’s mortality has been affected not only by the risk of infection itself, but also through deferred care for other causes and changes in lifestyle. This study aims to investigate excess mortality by cause of death and socio-demographic context during the COVID-19 pandemic in South Korea. MethodsMortality data within the period 2015–2020 were obtained from Statistics Korea, and deaths from COVID-19 were excluded. We estimated 2020 daily excess deaths for all causes, the eight leading causes of death, and according to individual characteristics, using a two-stage interrupted time series design accounting for temporal trends and variations in other risk factors.ResultsDuring the pandemic period (February 18 to December 31, 2020), an estimated 663 (95% empirical confidence interval [eCI]: -2356–3584) excess deaths occurred in South Korea. Mortality related to respiratory diseases decreased by 4371 (3452–5480), whereas deaths due to metabolic diseases and ill-defined causes increased by 808 (456–1080) and 2756 (2021–3378), respectively. The increase in all-cause deaths was prominent in those aged 65–79 years (941, 88–1795), with an elementary school education or below (1757, 371–3030), or who were single (785, 384–1174), while a decrease in deaths was pronounced in those with a college-level or higher educational attainment (1471, 589–2328).ConclusionNo evidence of a substantial increase in all-cause mortality was found during the 2020 pandemic period in South Korea, as a result of a large decrease in deaths related to respiratory diseases that offset increased mortality from metabolic disease and diseases of ill-defined cause. The COVID-19 pandemic has disproportionately affected those of lower socioeconomic status and has exacerbated inequalities in mortality.

Evaluation of the quality of cause of death statistics of the last decades in the European Union

Abstract Introduction The European Union (EU) do not publish the quality of cause-of-death statistics, when is possible to assess quality by reliability. Quality does not present consolidated indicators. Ill-defined and other inaccurate causes have presented different groupings. Objective To assess the quality of official cause-of-death statistics of the European Union by member states from 2006 to 2020. Methods Cases and population were from the WHO repertory. We selected causes in EU27 countries by up to fourth code-character of ICD10 -on the EuroStat website were not available-. Case counts were grouped into ill- defined, unspecific, less specific (the latter two, in inaccurate), and judicial (inaccurate external causes) categories, based on literature and expertise. We calculated age-adjusted rates to the Standard European Population by country, sex, period (2006-, 2011- and 2016-2020), and quality category. We tested the Comparative Mortality Ratio (CMR) of each country to the European Union median by a Bayesian approach, at 5% statistical significance. We plotted the rates proportion of each quality category in its all causes. Results We included 25 countries. Some did not report all years. Six countries showed &amp;gt;19% for ill-defined causes and 3 member states had &amp;lt;5% in both sex and last period. In inaccurate, for the same time period and sex, average pointed 10% with a range of 3-19%. In the same period, CMR exceeded significantly the EU median in 19 and 18 countries for women and men, respectively; and exceeded in unspecific causes in 12 countries for women and men. Discussion Literature showed that incorrect causes of death were random distributed. Probably major causes were biased and underestimated. Conclusions Quality of cause of death is a useful indicator of mortality statistics reliability. Quality indicators targeted national gaps across EU. We need a new EU task force on statistics of causes of death in accordance with the XXI century. Key messages • Quality indicators of causes of death statistics targeted national gaps across the European Union. • The statistics of death causes underestimated the main causes of death in the European Union.