Rate of Aquatic and Maritime Drowning Deaths After US-Mexico Border Wall Height Increase.

This study assesses migratory drowning deaths along the southwest border of the US before and after the increase in border wall height.

Trends in all causes and cause specific mortality attributable to ambient particulate matter pollution in China from 1990 to 2019: A secondary data analysis study.

BACKGROUND: Particularly fine particulate matter (PM2.5) has become a significant public health concern in China due to its harmful effects on human health. This study aimed to examine the trends in all causes and cause specific morality burden attributable to PM2.5 pollution in China. METHODS: We extracted data on all causes and cause specific mortality data attributable to PM2.5 exposure for the period 1990-2019 in China from the Global Burden of Disease 2019. The average annual percent change (AAPC) in age-standardized mortality rates (ASMR) and years of life lost (YLLs) due to PM2.5 exposure were calculated using the Joinpoint Regression Program. Using Pearson's correlation, we estimated association between burden trends, urban green space area, and higher education proportions. RESULTS: During the period 1990-1999, there were increases in mortality rates for All causes (1.6%, 95% CI: 1.5% to 1.8%), Diabetes mellitus (5.2%, 95% CI: 4.9% to 5.5%), Encephalitis (3.1%, 95% CI: 2.6% to 3.5%), Ischemic heart disease (3.3%, 95% CI: 3% to 3.6%), and Tracheal, bronchus and lung cancer (5%, 95% CI: 4.7% to 5.2%). In the period 2010-2019, Diabetes mellitus still showed an increase in mortality rates, but at a lower rate with an AAPC of 1.2% (95% CI: 1% to 1.4%). Tracheal bronchus and lung cancer showed a smaller increase in this period, with an AAPC of 0.5% (95% CI: 0.3% to 0.6%). In terms of YLLs, the trends appear to be similar. CONCLUSION: Our findings highlight increasing trends in disease burden attributable to PM2.5 in China, particularly for diabetes mellitus, tracheal, bronchus, and lung cancer.

The New Crisis of Increasing All-Cause Mortality in US Children and Adolescents.

This Viewpoint discusses increased rates in pediatric mortality by age and cause between 1999 and 2021.

Research Note: COVID-19 Is Not an Independent Cause of Death.

The COVID-19 pandemic has had overwhelming global impacts with deleterious social, economic, and health consequences. To assess the COVID-19 death toll, researchers have estimated declines in 2020 life expectancy at birth (e0). When data are available only for COVID-19 deaths, but not for deaths from other causes, the risks of dying from COVID-19 are typically assumed to be independent of those from other causes. In this research note, we explore the soundness of this assumption using data from the United States and Brazil, the countries with the largest number of reported COVID-19 deaths. We use three methods: one estimates the difference between 2019 and 2020 life tables and therefore does not require the assumption of independence, and the other two assume independence to simulate scenarios in which COVID-19 mortality is added to 2019 death rates or is eliminated from 2020 rates. Our results reveal that COVID-19 is not independent of other causes of death. The assumption of independence can lead to either an overestimate (Brazil) or an underestimate (United States) of the decline in e0, depending on how the number of other reported causes of death changed in 2020.

Trends in mortality and causes of death among Chinese adolescents aged 10-19 years from 1990 to 2019.

Objective: Promoting adolescent health is essential to achieving the goals of the Healthy China 2030 (HC 2030) initiative. As socioeconomic conditions improve and medical practices and disease patterns evolve, adolescent mortality rates and causes of death vary considerably. This study provides up-to-date data on adolescent mortality and causes of death in China, highlighting key areas of focus for investment in adolescent health. Methods: Data regarding mortality and causes of death in Chinese adolescents aged 10-19 years were extracted from the Global Burden of Disease study from 1990 to 2019. The data variables were examined according to year, sex, and age. The autoregressive integrated moving average model was used to predict non-communicable disease (NCD) mortality rates and rank changes in the leading causes of death until 2030. Results: The all-cause mortality rate (per 100,000 population) of Chinese adolescents aged 10-19 years steadily declined from 1990 (72.6/100,000) to 2019 (28.8). Male adolescents had a higher mortality (37.5/100,000 vs. 18.6 in 2019) and a slower decline rate (percent: -58.7 vs. -65.0) than female adolescents. Regarding age, compared with those aged 10-14 years, the mortality rate of adolescents aged 15-19 years had a higher mortality (35.9/100,000 vs. 21.2 in 2019) and a slower decrease rate (percent: -57.6 vs. -63.2). From 1990 to 2019, the rates of communicable, maternal, and nutritional diseases declined the most (percent: -80.0), while injury and NCDs mortality rates were relatively slow (percent: -50.0 and -60.0). In 2019, the five leading causes of death were road injuries (6.1/100,000), drowning (4.5), self-harm (1.9), leukemia (1.9), and congenital birth defects (1.3). Furthermore, NCDs' mortality rate decreased by -46.6% and -45.4% between 2015-2030 and 2016-2030, respectively. Conclusion: A notable decline was observed in all-cause mortality rates among Chinese adolescents aged 10-19 years. In addition, the mortality rates of NCDs are projected to meet the target from the Global Strategy for Women's, Children's, and Adolescents' Health (2016-2030) and HC2030 reduction indicators by 2030. However, it should be noted that injury is the leading cause of death, with sexual and age disparities remaining consistent.

Relatório de análise de mortalidade intra-hospitalar e suas causas em Moçambique, 2018 a 2021 / Report analysing in-hospital mortality and its causes in Mozambique, 2018 to 2021

O sistema de registo de mortes hospitalares é o centro do sistema de informação em saude compreende a captura de evento vital (morte), a sua enumeração em relatórios estatísticos, sua sistematização, consolidação e elaboração de estatísticas periódicas sobre o evento captado. A US é considerada fonte ideal para a obtenção de dados sobre mortalidade e suas causas pois é o local onde estas têm lugar. Esta informação pode ser utilizada para vigilâcia da mortalidade e prevenção em saude. Avaliações sistemáticas das estatísticas de mortalidade possibilitam a identificação do perfil epidemiológico, contribuindo assim para a tomada de decisão com vista à melhoria da saúde da população. É importante a apresentação de estatísticas de mortalidade por causas, pois são essenciais para avaliar o peso da doença e delinear medidas políticas e intervenções efectivas em saúde. Desde a pioneira análise dos registos paroquiais de Londres no século XVII, feita por Graunt, os registos de óbito vêm sendo usados na produção de estatísticas de mortalidade. As mortes podem ser analisadas quanto ao número e em relação a algumas variáveis, dentre outras, sexo, idade, local, tempo, entre outras, constituindo, entretanto, sua causa o aspecto mais importante. Examinando os níveis gerais de mortalidade institucional fornece uma visão geral da qualidade da prestação de serviços de saúde e do estado de saúde da população coberta. A desagregação por instalação ou região pode destacar epidemias em potencial ou atendimento não óptimo. Assim, no encontro proposto pretende-se analisar a mortalidade institucional com recurso a dados extraídos do módulo de gestão de dados hospitalares. Estes dados também alimentam o registo civil que por sua vez alimenta as estatísticas nacionais. Este relatório apresenta informação que pode auxiliar na avaliação da qualidade de dados sobre causas de morte atribuidas nas US do País. O relatório foi produzido com base nos dados do MGDH e Sistemade informaçao para monitoria e avaliação e abrange um período de quatro anos de 2018 a 2021...

Análisis de causas de muerte intrahospitalarias mal definidas e imprecisas / Analysis of ill-defined and imprecise in-hospital causes of death

Introducción: la información sobre las causas de muerte es de gran importancia tanto para los países como para las instituciones sanitarias, en la medida en que contribuye a la evaluación y el seguimiento del estado de salud de la población y a la planificación de intervenciones sanitarias. El objetivo del estudio fue evaluar la proporción de causas de muerte mal definidas e imprecisas y su relación con el día de la semana y período lectivo de médicos residentes en el Hospital Italiano de Buenos Aires (HIBA) durante 2020. Métodos: se realizó un estudio analítico de corte transversal a partir de certificados médicos de defunción de pacientes fallecidos en el ámbito intrahospitalario, evaluando las causas de muerte mal definidas (términos médicos que no aportan información desde el punto de vista clínico y epidemiológico) y las imprecisas (no resultan lo suficientemente específicas como para identificar entidades nosológicas que permitan establecer acciones de prevención y control). Resultados: se analizaron 1030 certificados de defunción, con una proporción de certificados con causa básica de muerte mal definida del 2,3% (n = 24), mientras que en el 17,4% (n = 180) fue imprecisa. No se hallaron diferencias entre la proporción de causas básicas mal definidas y las imprecisas según el día de la semana o período lectivo. Al extender el análisis a todas las causas (básicas, mediatas e inmediatas), la proporción de causas mal definidas fue del 1,6% (n = 40) y la de imprecisas del 51% (n = 1212). Conclusiones: los resultados definen al HIBA como un centro de mediana calidad estadística en el registro de causas de muerte. Se concluye que es necesario mejorarla, para lo que resulta de interés la creación de un plan de capacitación y entrenamiento de los médicos en el grado y el posgrado. (AU)

Introduction: information on causes of death is of great importance both for countries and for health institutions, as it contributes to the evaluation and monitoring of the health status of the population and to the planning of health interventions. The purpose of this study was to evaluate the proportion of ill-defined and imprecise causes of death and its relationship with the day of the week and academic calendar during 2020 at the Hospital Italiano de Buenos Aires. Methods: a cross-sectional study was carried out from data recorded in the death certificates of patients who died in the intrahospital setting, evaluating ill-defined causes of death (medical terms that do not provide clinical or epidemiological information) and imprecise ones (not specific enough to identify nosological entities susceptible to prevention or control). Results: 1030 death certificates were analyzed. The proportion of certificates with ill-defined underlying causes of death was 2.3% (n=24), while 17.4% (n=180) was imprecise. No significant differences were found between the ill-defined and imprecise underlying causes of death and the day of the week and academic calendar. When extending the analysis to all causes (underlying, intermediate, and immediate) the percentage of ill-defined causes was 1.6% (n=40) and 51% (n=1212) was imprecise. Conclusions: results define our hospital as of medium statistical quality on medical death certification. It is concluded that it is necessary to improve the quality of the registry, for which the creation of a training plan for undergraduate and graduate physicians is of interest. (AU)

Mortality Among People Experiencing Homelessness in San Francisco During the COVID-19 Pandemic.

Importance: There has been recent media attention on the risk of excess mortality among homeless individuals during the COVID-19 pandemic, yet data on these deaths are limited. Objectives: To quantify and describe deaths among people experiencing homelessness in San Francisco during the COVID-19 pandemic and to compare the characteristics of these deaths with those in prior years. Design, Setting, and Participants: A cross-sectional study tracking mortality among people experiencing homelessness from 2016 to 2021 in San Francisco, California. All deceased individuals who were homeless in San Francisco at the time of death and whose deaths were processed by the San Francisco Office of the Chief Medical Examiner were included. Data analysis was performed from August to October 2021. Exposure: Homelessness, based on homeless living status in an administrative database. Main Outcomes and Measures: Descriptive statistics were used to understand annual trends in demographic characteristics, cause and manner of death (based on autopsy), substances present in toxicology reports, geographic distribution of deaths, and use of health and social services prior to death. Total estimated numbers of people experiencing homelessness in San Francisco were assessed through semiannual point-in-time counts. The 2021 point-in-time count was postponed owing to the COVID-19 pandemic. Results: In San Francisco, there were 331 deaths among people experiencing homelessness in the first year of the COVID-19 pandemic (from March 17, 2020, to March 16, 2021). This number was more than double any number in previous years (eg, 128 deaths in 2016, 128 deaths in 2017, 135 deaths in 2018, and 147 deaths in 2019). Most individuals who died were male (268 of 331 [81%]). Acute drug toxicity was the most common cause of death in each year, followed by traumatic injury. COVID-19 was not listed as the primary cause of any deaths. The proportion of deaths involving fentanyl increased each year (present in 52% of toxicology reports in 2019 and 68% during the pandemic). Fewer decedents had contacts with health services in the year prior to their death during the pandemic than in prior years (13% used substance use disorder services compared with 20% in 2019). Conclusions and Relevance: In this cross-sectional study, the number of deaths among people experiencing homelessness in San Francisco increased markedly during the first year of the COVID-19 pandemic. These findings may guide future interventions to reduce mortality among individuals experiencing homelessness.

Reasons for reperfusion delay in ST-elevation myocardial infarction and their impact on mortality.

AIMS: The impact of reperfusion delay in ST-elevation myocardial infarction (STEMI) is well known. We aimed to describe the specific reasons for delay to primary percutaneous coronary intervention (pPCI), and their impact on mortality after adjusting for confounders, using the first-medical-contact-to-device (FMCTD) time to measure the delay. METHODS: Between January 2006 and December 2019, 2149 STEMI patients underwent pPCI at our centre. Delayed pPCI was defined as FMCTD > 90 min or > 120 min in the case of inter-hospital transfer. The causes of delay were classified as system-related (related to the network organization) or patient-related (related to the clinical condition of the patient). Primary outcome was 1-year all-cause mortality. RESULTS: The pPCI was timely in 69.9% of patients, delayed for system-related causes in 16.4% or for patient-related causes in 13.7%. Different patient-related causes induced variable median FMCTD time (from 114 min for technically difficult pPCI to 159 min for ECG and/or symptom resolution). By multivariable Cox-regression models, the main independent risk factors for mortality were delay due to comorbidities [hazard ratio (HR) 2.19 (1.22-3.91)], or hemodynamic instability [HR 2.05 (1.25-3.38)], after adjusting for Global Registry of Acute Coronary Events risk score tertiles and angiographic success. The difference in risk of mortality is maintained over the entire spectrum of time from symptom onset. CONCLUSIONS: Different causes of delay had different impacts on mortality, generally more important than the length of the delay. Causes of delay such as hemodynamic instability and comorbidities should prompt specific programs of performance improvement. Timely pPCI maintains prognostic advantages after several hours from symptom onset, mandating prompt reperfusion also in late-presenter patients.

Association of State Social and Environmental Factors With Rates of Self-injury Mortality and Suicide in the United States.

Importance: Self-injury mortality (SIM) combines suicides and the preponderance of drug misuse-related overdose fatalities. Identifying social and environmental factors associated with SIM and suicide may inform etiologic understanding and intervention design. Objective: To identify factors associated with interstate SIM and suicide rate variation and to assess potential for differential suicide misclassification. Design, Setting, and Participants: This cross-sectional study used a partial panel time series with underlying cause-of-death data from 50 US states and the District of Columbia for 1999-2000, 2007-2008, 2013-2014 and 2018-2019. Applying data from the Centers for Disease Control and Prevention, SIM includes all suicides and the preponderance of unintentional and undetermined drug intoxication deaths, reflecting self-harm behaviors. Data were analyzed from February to June 2021. Exposures: Exposures included inequity, isolation, demographic characteristics, injury mechanism, health care access, and medicolegal death investigation system type. Main Outcomes and Measures: The main outcome, SIM, was assessed using unstandardized regression coefficients of interstate variation associations, identified by the least absolute shrinkage and selection operator; ratios of crude SIM to suicide rates per 100 000 population were assessed for potential differential suicide misclassification. Results: A total of 101 325 SIMs were identified, including 74 506 (73.5%) among males and 26 819 (26.5%) among females. SIM to suicide rate ratios trended upwards, with an accelerating increase in overdose fatalities classified as unintentional or undetermined (SIM to suicide rate ratio, 1999-2000: 1.39; 95% CI, 1.38-1.41; 2018-2019: 2.12; 95% CI, 2.11-2.14). Eight states recorded a SIM to suicide rate ratio less than 1.50 in 2018-2019 vs 39 states in 1999-2000. Northeastern states concentrated in the highest category (range, 2.10-6.00); only the West remained unrepresented. Least absolute shrinkage and selection operator identified 8 factors associated with the SIM rate in 2018-2019: centralized medical examiner system (ß = 4.362), labor underutilization rate (ß = 0.728), manufacturing employment (ß = -0.056), homelessness rate (ß = -0.125), percentage nonreligious (ß = 0.041), non-Hispanic White race and ethnicity (ß = 0.087), prescribed opioids for 30 days or more (ß = 0.117), and percentage without health insurance (ß = -0.013) and 5 factors associated with the suicide rate: percentage male (ß = 1.046), military veteran (ß = 0.747), rural (ß = 0.031), firearm ownership (ß = 0.030), and pain reliever misuse (ß = 1.131). Conclusions and Relevance: These findings suggest that SIM rates were associated with modifiable, upstream factors. Although embedded in SIM, suicide unexpectedly deviated in proposed social and environmental determinants. Heterogeneity in medicolegal death investigation processes and data assurance needs further characterization, with the goal of providing the highest-quality reports for developing and tracking public health policies and practices.

Mental Health Services Under Strain in Rural America.

Improvements are needed to address high rates of suicide.

Joinpoint Regression About Injury Mortality and Hospitalization in Korea.

BACKGROUND: Injury is a social problem that causes health and property losses, and it is important to identify the size and trend of injury for efficient prevention and management. Therefore, this study analyzed the trends in injury mortality and hospitalization rates from 2005 to 2019 in Korea. METHODS: Using mortality data by Statistics Korea and Korea National Hospital Discharge In-depth injury survey by the Korea Disease Control and Prevention Agency (KDCA), age standardized rates were calculated for death and hospitalization to analyze trends and annual changes with the joinpoint regression model. In addition, annual changes in the hospitalization rate of the transport accident and fall injuries by age group were analyzed, which are the major causes of injuries. RESULTS: From 2005 to 2019, the injury mortality rate has been on the decline, but the injury hospitalization rate has been on the rise. The annual rate of change varied depending on the injury mechanism, but the mortality rate tended to decrease or remain similar level, while the rate of hospitalization has steadily increased. In addition, by age group, injury mortality and hospitalization rates were high in the elderly. In particular, the hospitalization rate of the elderly was higher when comparing the hospitalization rate of the children in transport accidents and falls. Pedestrian transport accidents tended to decrease under the age of 15, but remained similar for those aged 65 and older, and bicycle accidents tended to increase in both groups. In addition, hospitalization rates were higher in the fall, with both groups showing a statistically significant increase in hospitalization rates caused by falls. CONCLUSION: This study analyzed the trend of injury mortality and hospitalization and found that transport accidents and falls may vary depending on the means or age of the accident. Since injury is a big social problem that is a burden of disease, safety education and legal sanctions for injury prevention should be further improved in the future, especially by prioritizing vulnerable groups by age and detailed mechanisms of injury.

Causes of death among people who used illicit opioids in England, 2001-18: a matched cohort study.

BACKGROUND: In many countries, the average age of people who use illicit opioids, such as heroin, is increasing. This has been suggested to be a reason for increasing numbers of opioid-related deaths seen in surveillance data. We aimed to describe causes of death among people who use illicit opioids in England, how causes of death have changed over time, and how they change with age. METHODS: In this matched cohort study, we studied patients in the Clinical Practice Research Datalink with recorded illicit opioid use (defined as aged 18-64 years, with prescriptions or clinical observations that indicate use of illicit opioids) in England between Jan 1, 2001, and Oct 30, 2018. We also included a comparison group, matched (1:3) for age, sex, and general practice with no records of illicit opioid use before cohort entry. Dates and causes of death were obtained from the UK Office for National Statistics. The cohort exit date was the earliest of date of death or Oct 30, 2018. We described rates of death and calculated cause-specific standardised mortality ratios. We used Poisson regression to estimate associations between age, calendar year, and cause-specific death. FINDINGS: We collected data for 106 789 participants with a history of illicit opioid use, with a median follow-up of 8·7 years (IQR 4·3-13·5), and 320 367 matched controls with a median follow-up of 9·5 years (5·0-14·4). 13 209 (12·4%) of 106 789 participants in the exposed cohort had died, with a standardised mortality ratio of 7·72 (95% CI 7·47-7·97). The most common causes of death were drug poisoning (4375 [33·1%] of 13 209), liver disease (1272 [9·6%]), chronic obstructive pulmonary disease (COPD; 681 [5·2%]), and suicide (645 [4·9%]). Participants with a history of illicit opioid use had higher mortality rates than the comparison group for all causes of death analysed, with highest standardised mortality ratios being seen for viral hepatitis (103·5 [95% CI 61·7-242·6]), HIV (16·7 [9·5-34·9]), and COPD (14·8 [12·6-17·6]). In the exposed cohort, at age 20 years, the rate of fatal drug poisonings was 271 (95% CI 230-313) per 100 000 person-years, accounting for 59·9% of deaths at this age, whereas the mortality rate due to non-communicable diseases was 31 (16-45) per 100 000 person-years, accounting for 6·8% of deaths at this age. Deaths due to non-communicable diseases increased more rapidly with age (1155 [95% CI 880-1431] deaths per 100 000 person-years at age 50 years; accounting for 52·0% of deaths at this age) than did deaths due to drug poisoning (507 (95% CI 452-562) per 100 000 person-years at age 50 years; accounting for 22·8% of deaths at this age). Mirroring national surveillance data, the rate of fatal drug poisonings in the exposed cohort increased from 345 (95% CI 299-391) deaths per 100 000 person-years in 2010-12 to 534 (468-600) per 100 000 person-years in 2016-18; an increase of 55%, a trend that was not explained by ageing of participants. INTERPRETATION: People who use illicit opioids have excess risk of death across all major causes of death we analysed. Our findings suggest that population ageing is unlikely to explain the increasing number of fatal drug poisonings seen in surveillance data, but is associated with many more deaths due to non-communicable diseases. FUNDING: National Institute for Health Research.

Outcomes associated with the high sensitivity cardiac troponin testing in patients presenting with non-cardiovascular disorders.

There are limited data regarding the utility of troponin testing in patients presenting with non-cardiovascular (CV) symptoms as the primary manifestation. The study population comprised 2057 patients who presented to the emergency department (ED) of a US healthcare system with non-CV symptoms as the primary manifestation between January and September 2018. We compared the effect of high-sensitivity cardiac troponin T (hs-cTnT) (n = 901) after its introduction vs. 4th generation cTnT (n = 1156) on the following outcomes measures: ED length of stay (LOS), coronary tests/procedures (angiography or stress test), and long-term mortality. Mean age was 64 ± 17 yrs., and 47% were female. Primary non-CV manifestations included pneumonia, obstructive pulmonary disease, infection, abdominal-complaint, and renal failure. Mean follow up was 9 ± 4 months. Patients' demographics and medical history were clinically similar between the two troponin groups. A second cTn test was obtained more frequently in the hs-cTnT than cTnT (84% vs. 32%; p < 0.001), possibly leading to a longer ED stay (8.1 ± 8.2 h vs 5.6 ± 3.4 h, respectively; p < 0.001). Coronary tests/procedures were performed at a significantly higher rate in the hs-cTnT than cTnT following the introduction of the hs-cTnT test (28% vs. 22%, p < 0.001). Multivariate analysis showed that following the introduction of hs-cTnT testing, there was a significant 27% lower risk of long-term mortality from ED admission through follow-up (HR = 0.73, 95%CI 0.54-0.98; p = 0.035). In conclusion, we show that in patients presenting primarily with non-CV disorders, the implementation of the hs-cTnT was associated with a higher rate of diagnostic coronary procedures/interventions, possibly leading to improved long-term survival rates.

Trends of Ten Leading Causes of Death in Head and Neck Squamous Cell Carcinoma.

OBJECTIVE: An understanding of the leading causes of death in patients with head and neck squamous cell carcinoma (HNSCC) would be helpful to inform doctors, patients, and healthcare providers on disease management. This study aimed to comprehensively study the leading causes of death in these survivors. METHODS: We investigated the trends of risk factors for major causes of death in patients with HNSCC. Causes of death in HNSCC were obtained from the Surveillance, Epidemiology, and End Results registries. We characterized trends in the 5-year cumulative mortality as well as risk factors associated with the ten leading causes of death. RESULTS: Among 48 297 deaths identified, the ten leading causes were as follows: HNSCC, heart disease, lung cancer, chronic obstructive pulmonary disease (COPD), cerebrovascular disease, pneumonia & influenza, accidents & adverse effects, esophagus cancer, chronic liver diseases, and septicemia. Non-HNSCC deaths surpassed HNSCC deaths 4 years after cancer diagnosis. There was a significant decline in the 5-year cumulative mortality from HNSCC, heart disease, lung cancer, COPD, cerebrovascular disease, and esophagus cancer. The risks of mortality from the ten leading causes varied with patient characteristics. CONCLUSION: Our findings provide a useful picture of mortality patterns in HNSCC survivors, which might help when planning personalized HNSCC care.