Assessing the Quality of Cause-of-Death Reporting Before and During the COVID-19 Pandemic.

This study assessed the quality of cause-of-death reporting in the US before and during the COVID-19 pandemic. We used the selection rate and the adjusted odds ratio (aOR) to analyze each cause identified by the National Center for Health Statistics as unsuitable for the underlying cause of death (UCOD). The selection rate was defined as the proportion of deaths with mention of a particular unsuitable UCOD on the death certificate where that cause was ultimately selected as the UCOD. Out of 36 unsuitable UCODs, 33 exhibited a significant decline in selection rates from 2019 to 2021. However, when deaths with mention of COVID-19 on the death certificate were excluded, only 19 causes revealed a significant decline. In analyses that controlled for the age of decedents, aORs in 2021 were significantly lower compared with 2019 for 26 causes, and this number decreased to 17 causes in analyses that excluded COVID-19-related deaths. In conclusion, the overall quality of COD reporting improved during the COVID-19 pandemic, attributable mainly to the fact that over one-tenth of the deaths were related to COVID-19. Yet, for deaths that did not involve COVID-19, improvements in the quality of COD reporting were less prominent for certain causes.

Determinants of mortality status and population attributable risk fractions of the North West Province, South African site of the international PURE study.

BACKGROUND: Mortality data and comparative risk assessments from sub-Saharan Africa are limited. There is an urgent need for high quality population health surveys to be conducted, to improve the national health surveillance system. Our aim was to perform a comparative risk assesment and report on the mortality status and cause of death data of participants from a South African site of the international Prospective Urban Rural Epidemiology study. METHODS: 1 921 Black participants were included, with a median observational time of 13 years resulting in 21 525 person-years. We performed a comparative risk assessment considering four health status domains: locality (rural vs. urban), socio-economic status (SES) (education and employment), lifestyle factors (physical activity, smoking and alcohol consumption) and prevalent diseases (human immunodeficiency virus (HIV), type 2 diabetes mellitus and hypertension). Next, population-attributable fractions (PAFs) were calculated to determine the mortality risk attributable to modifiable determinants. RESULTS: 577 all-cause deaths occurred. Infectious diseases (28.1% of all deaths) were the most frequent cause of death, followed by cardiovascular disease (CVD) (22.4%), respiratory diseases (11.6%) and cancer (11.1%). The three main contributors to all-cause mortality were HIV infection, high SES and being underweight. HIV infection and underweight were the main contributors to infectious disease mortality and hypertension, the urban environment, and physical inactivity to CVD mortality. HIV had the highest PAF, followed by physical inactivity, alcohol and tobacco use and hypertension (for CVD mortality). CONCLUSION: This African population suffers from a quadruple burden of disease. Urban locality, high SES, prevalent disease (HIV and hypertension) and lifestyle factors (physical inactivity, tobacco and alcohol use) all contributed in varying degrees to all-cause and cause-specific mortalities. Our data confirm the public health importance of addressing HIV and hypertension, but also highlights the importance of physical inactivity, tobacco use and alcohol consumption as focal points for public health strategies to produce the most efficient mortality reduction outcomes.

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

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

Recommendations for broadening eligibility criteria in esophagus cancer clinical trials: the mortality disparity of esophagus cancer as a first or second primary malignancy.

Background: Esophagus cancer as a second primary malignancy (esophagus-2) is increasingly common, but its prognosis is poorly understood. This study aims to examine the overall, non-cancer related and cancer-specific survival of patients diagnosed with esophagus-2 compared to the first primary esophagus cancer (esophagus-1). Methods: We included primary esophagus cancer patients diagnosed from 1975 to 2019 in the Surveillance, Epidemiology, and End Results program. Esophagus-2 was identified in patients with a previous diagnosis of non-esophageal primary malignancy. Hazard ratios of overall, esophagus cancer-specific and non-cancer related mortality were estimated among patients with esophagus-2 compared to esophagus-1, adjusting for age, gender, tumor stage and other demographic and clinical characteristics. Results: A total of 74,521 and 14,820 patients were identified as esophagus-1 and esophagus-2 respectively. Esophagus-2 patients suffered lower risk of esophagus cancer-specific mortality in initial 5 years but with similar risk thereafter, independent of tumor characteristics and treatment. In the first 5 years after diagnosis, patients with esophagus-2 had similar risk of overall mortality with those with esophagus-1 but increased risk thereafter. As for non-cancer related mortality, esophagus-2 patients had higher risk all along. Conclusions: Esophagus-2 patients should not be entirely excluded from clinical trial and a 3-year exclusion window is suggested. A conservative approach to manage esophagus-2 solely based on malignancy history is not supported but effort should be put into surveillance, prevention and management of the comorbidities and complications for the first malignancy.

The prognostic impact of severe grade immune checkpoint inhibitor related pneumonitis in non-small cell lung cancer patients.

Objective: To compare the prognostic differences between non-small cell lung cancer (NSCLC) patients with mild and severe checkpoint inhibitor-associated pneumonitis (CIP), and explore the causes of death and prognostic risk factors in NSCLC patients with severe CIP. Methods: A retrospective study of a cohort of 116 patients with unresectable stage III or IV NSCLC with any grade CIP from April 2016 to August 2022 were conducted. To analyze the clinical characteristics of patients with different CIP grades, patients were divided into mild CIP group (grade 1-2, n=49) and severe CIP group (grade 3-5, n=67) according to the grade of CIP. To explore the OS-related risk factors in the severe CIP group, the patients were divided into a good prognosis (GP) group (≥ median OS, n=30) and a poor prognosis (PP) group (< median OS, n=37) based on whether their overall survival (OS) were greater than median OS. Baseline clinical and laboratory data were collected for analysis. Results: The median OS of all NSCLC patients combined with CIP was 11.4 months (95%CI, 8.070-16.100), The median OS for mild CIP and severe CIP was 22.1 months and 4.4 months respectively (HR=3.076, 95%CI, 1.904-4.970, P<0.0001). The results showed that the most common cause of death among severe CIP patients in the PP group was CIP and the most common cause in the GP group was tumor. The univariate regression analysis showed that suspension of antitumor therapy was a risk factor for poor prognosis (OR=3.598, 95%CI, 1.307-9.905, p=0.013). The multivariate logistic regression analysis showed that suspension of anti-tumor therapy (OR=4.24, 95%CI, 1.067-16.915, p=0.040) and elevated KL-6 (OR=1.002, 95%CI, 1.001-1.002, p<0.001) were independent risk factors for poor prognosis. Conclusion: In conclusion, patients with severe CIP had a poor prognosis, especially those with elevated KL-6, and the main cause of death is immune checkpoint inhibitor-associated pneumonitis complicated with infection. In addition, anti-tumor therapy for severe CIP patients should be resumed in time and should not be delayed for too long.

[Analysis of clinical characteristics and causes of death in 38 patients with pneumoconiosis].

Objective: To analyze the clinical characteristics and causes of death of patients with pneumoconiosis, and to provide evidence for the prevention and management of pneumoconiosis. Methods: From June 2022 to July 2023, 38 dead patients with pneumoconiosis confirmed by Shandong Academy of Occupational Health and Occupational Medicine were selected as the research objects. The clinical data of patients were collected through hospital information system (HIS) and laboratory information management system (LIS) to analyze the basic situation of patients with pneumoconiosis who died, the distribution of industry types, the course of disease, the nature of work, the type of reimbursement, complications/comorbidities, and the direct causes of death. Univariate analysis of variance was used to compare the course of pneumoconiosis death in patients with different age of exposure to dust. Results: Among the 38 patients with pneumoconiosis, there were 37 males and 1 female. The age of exposure to dust was 5-37 (19.29±8.17) years, the duration of disease was 5-41 (20.26±8.53) years, and the age of death was 27-86 (70.42±12.26) years old. There were 10 cases of stage Ⅰ pneumoconiosis, 18 cases of stage Ⅱ, 10 cases of stage Ⅲ pneumoconiosis and 32 cases (84.21%) of silicosis. There were 30 (78.95%) people aged ≥65 years and 8 (21.05%) people aged <65 years. The industry was mainly metal products (18 workers, 47.37%), and the distribution of work was mainly excavation workers (11 workers, 28.95%). The death course of pneumoconiosis patients with 10-<30 years of exposure to dust accounted for 76.32% (29/38). The average course of pneumoconiosis patients with 20-<30 years of exposure to dust was the longest[ (24.00±9.39) years], and there was no statistically significant difference in the average course of disease among different age of exposure to dust groups (F=1.81, P=0.165). The working units of the deceased patients were private enterprises or factories, and the hospitalization expenses were borne by individuals for 21 people (55.26%). The working unit was a state-owned enterprise, and 17 people (44.74%) were reimbursed for hospitalization expenses and work-related injuries. The main comorbidities/complications of pneumoconiosis patients were respiratory infection in 18 cases (47.37%) and chronic pulmonary heart disease (47.37%). The top 3 direct causes of death were pneumoconiosis in 13 cases (34.21%), pulmonary infection in 10 cases (26.32%) and lung cancer in 7 cases (18.42%) . Conclusion: Most of 38 cases of pneumoconiosis patients death diseases such as multiple combination of respiratory system, cardiovascular system, respiratory system disease is a major cause of death in pneumoconiosis patients.

From mono to multi-causality: Towards a comprehensive perspective on understanding death.

Cause-of-death statistics are an age-old source of information for health policy and medical research. In these statistics, the presentation of data is based on the idea of an underlying cause of death, i.e. one ("the") cause of death per deceased. This idea reflects an 18th Century causal thinking and is less and less applicable to contemporary patterns of dying in high income countries with an aging population suffering from chronic diseases and multi- or comorbidity at the end of life. Therefore, today's clinical reality calls for an innovation of cause-of-death statistics. For this, I will consider contemporary philosophical ideas on causality and their application to death. I will argue multi-causality is a more comprehensive way to understand death than mono-causality, implying a change of perspective with regard to current cause-of-death statistics.

Validation of Database Autopsy for Review of Pregnancy-Associated Deaths in Canada.

The database autopsy method was developed to determine probable causes of maternal deaths in the Canadian Institute for Health Information's hospital discharge abstract database, but the method has yet to be validated. Using immediate cause of death information from Quebec's hospitalization database as the gold standard, this study assessed the validity and reliability of the database autopsy method for pregnancy-associated deaths. The method had high sensitivity and specificity for identifying the most common causes of these deaths, as well as high interobserver agreement. We conclude that the database autopsy method is valid and reliable overall.

New perspectives of forensic pathology through machine learning approach on autopsy data: a pilot study.

Background: The analysis, interpretation and storage of information is entrusted to the individual expert, who bases his judgments on the knowledge resulting from the experience. The aim of this experimental study is to analyse and introduce a new line of research applicable to forensic pathology, based on the use of artificial intelligence techniques as a possible tool for data collection and analysis. Methods: The sample analysed is represented by judicial autop-sies performed at the University of Catanzaro from 01/01/2020 to 31/12/2021. For each case were performed: study of medical records; autopsy; histological examinations; toxicological analysis of blood samples. Continuous variables were presented as means ± standard deviations, and categorical variables were expressed as percentages. A random forest regression model was conducted, as a machine learning approach, to estimate the importance of individual solid organ weight variables in predicting cause of death. Conclusions: This study aimed to evaluate autopsy data to aid in the description and study of forensic cases, using a machine learning approach. To date, this study appears to be the first to evaluate the weight of organs in predicting a cause of death. Artificial intelligence techniques are an optimal solution in solving forensic dilemmas. The results of this study demonstrate that routine data can be submitted using machine learning techniques in order to identify key elements of procedures that provide more information in relation to the predic-tion of cause of death.

Autopsy rates and the misclassification of suicide and accident deaths.

Mortality statistics are critical to determine the burden of disease. Certain causes of death are prone to being misclassified on cause of death certificates. This poses a serious risk for public health and safety, as accurate death certificates form the basis for mortality statistics, which in turn are crucial for research, funding allocation and health interventions. This study uses generalised estimating equations and regression modelling to investigate for which cause of death categories suicide and accident deaths are misclassified as. National mortality statistics and autopsy rates from North America and Europe covering the past forty years were analysed to determine the associations between the different causes of death in cross-sectional and longitudinal models. We find that suicides and deaths by accidents are frequently mutually misclassified. We also find that suicides are frequently misclassified as drug use disorder deaths, in contrast to accident deaths, which are not misclassified as drug use disorder deaths. Furthermore, suicides do not seem to be misclassified as undetermined deaths or ill-defined deaths. The frequency of misclassification shows that the quality of death certificates should be improved, and autopsies may be used systematically to control the quality of death certificates.

Prevalence and Mortality of Life-Threatening and Life-Shortening Diseases in Children and Adolescents in Germany.

This study provides prevalence and mortality data for 0- to 19-year-old children and adolescents with medically documented life-threatening and life-shortening diagnoses in Germany. A secondary data analysis of more than 12 million insured persons documented by the statutory health insurance funds in Germany from 2014 to 2019 was conducted in collaboration with the German Association of Statutory Health Insurance Funds (GKV-SV) and the Institute for Applied Health Research Berlin (InGef), whose data sets vary in collection methods. Diagnosis prevalence and mortality were calculated based on selected International Classification of Diseases, 10th Revision (ICD-10) codes reported in inpatient and outpatient care settings. In Germany, the diagnosis prevalence of life-threatening and life-shortening diseases in children and adolescents ranges between 319 948 (InGef-adapted Fraser list) and 402 058 (GKV-SV). These diagnoses can be differentiated into different disease groups (Together-for-Short-Lives [TfSL] 1-4). The TfSL-1 group in which curative treatment can be feasible represents the largest one, with 190 865 persons. In 2019, approximately 1458 children and adolescents with life-threatening and life-shortening diseases died. The current diagnostic and mortality data of affected children and adolescents in Germany serve as the essential foundation for further research into the health care of the target group.

Mortality in patients receiving renal replacement therapy in South Korea.

Background: This study analyzed data from the end-stage renal disease patient registry collected by the Korean Society of Nephrology to explore trends in mortality among dialysis patients from 2001 to 2022. Methods: Mortality was analyzed in two ways: firstly, using the annual mortality rate; and secondly, by assessing survivability after a certain period of time since the initiation of dialysis. Additionally, we categorized the causes of death by disease group annually to observe how the proportions changed. Results: Since 2001, annual mortality for dialysis patients generally declined, except for a rise in 2020 and 2021 among hemodialysis patients. Overall mortality rates for all dialysis patients dropped from 74.2/1,000 person-years in 2001 to 42.3/1,000 person-years in 2022, with a more pronounced decrease in peritoneal dialysis. While survival probability over the 5 years following initiation of dialysis has shown a steady increase, short-term mortality from 2018 to 2020 affected by coronavirus disease 2019 (COVID-19) has shown a yearly increase by age group, with a greater effect in those aged 75 years and older. The leading causes of death for all dialysis patients have changed little, in the order of heart disease, infection, and vascular problems. Conclusion: While annual mortality and survival probability after dialysis initiation have generally improved in dialysis patients, there has been a temporary deterioration during the COVID-19 pandemic, most pronounced in the elderly.

ATF2/BAP1 Axis Mediates Neuronal Apoptosis After Subarachnoid Hemorrhage via P53 Pathway.

BACKGROUND: Neuronal apoptosis plays an essential role in the pathogenesis of brain injury after subarachnoid hemorrhage (SAH). BAP1 (BRCA1-associated protein 1) is considered to exert pro-apoptotic effects in multiple diseases. However, evidence supporting the effect of BAP1 on the apoptotic response to SAH is lacking. Therefore, we aimed to confirm the role of BAP1 in SAH-induced apoptosis. METHODS: Enzyme-linked immunosorbent assay (ELISA) was used to detect BAP1 expression in the cerebrospinal fluid. Endovascular perforation was performed in mice to induce SAH. Lentiviral short hairpin RNA targeting BAP1 mRNA was transduced into the ipsilateral cortex of mice with SAH to investigate the role of BAP1 in neuronal damage. Luciferase and coimmunoprecipitation assays were performed to investigate the mechanism through which BAP1 participates in hemin-induced SAH. RESULTS: First, BAP1 expression was upregulated in the cerebrospinal fluid of patients with SAH and positively associated with unfavorable outcomes. ATF2 (activating transcription factor-2) then regulated BAP1 expression by binding to the BAP1 promoter. In addition, BAP1 overexpression enhanced P53 activity and stability by reducing P53 proteasome-mediated degradation. Subsequently, elevated P53 promoted neuronal apoptosis via the P53 pathway. Inhibition of the neuronal BAP1/P53 axis significantly reduced neurological deficits and neuronal apoptosis and improved neurological dysfunction in mice after SAH. CONCLUSIONS: Our results suggest that the neuronal ATF2/BAP1 axis exerts a brain-damaging effect by modulating P53 activity and stability and may be a novel therapeutic target for SAH.

Validation of malaria-attributed deaths using verbal autopsy studies: a systematic review.

BACKGROUND: Malaria contributes substantially to the persistent burden of child deaths in sub-Saharan Africa. Accurate and comprehensive malaria mortality data are crucial to monitor the progress in reducing malaria incidence and mortality. Verbal Autopsy (VA) ascertains the cause of death despite its limitations leading to misclassification errors. Minimally Invasive Tissue Sampling (MITS) is being conducted in some settings as an alternative to Complete Diagnostic Autopsy (CDA). The present study examines the validity of malaria-related deaths comparing VA diagnoses with those obtained through MITS and/or CDA. METHODS: A comprehensive literature search for original studies in English language using Ovid MEDLINE, Ovid Embase, CINAHL via EBSCO, Scopus, The Cochrane Library via Wiley, Google Scholar and searching the MITS Surveillance Alliance papers was carried out. The reference period was January 1, 1990-March 31, 2024. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were adopted. RESULTS: Among 71 articles identified in the databases, 21 matched the eligibility criteria. Qualitative syntheses showed that malaria Cause Specific Mortality Fractions (CSMFs) across various studies ranged from 2 to 31%. Plasmodium falciparum was mostly responsible for these deaths and the most common complications were anaemia and cerebral malaria. The sensitivity and specificity of the VA validation studies ranged from 18.4% to 33% and from 86.6% to 97%, respectively, and there was a high level of misclassification for both InSilico and Expert Algorithm VA for malaria compared to MITS. The overall concordance rates between MITS and CDA diagnoses ranged from 68 to 90%, with the highest concordance seen in deaths due to infectious diseases and malignant tumours. Clinical data increased diagnostic coincidence between MITS blind to clinical data and the gold standard CDA by 11%. CONCLUSIONS: The comprehensive review finds that MITS demonstrated better accuracy compared to VA in diagnosing malaria-attributed deaths, particularly in hospital settings. The high specificity of malaria in VA diagnosis suggests population-based estimates of the proportion of deaths due to malaria are broadly plausible.

Characteristics of indoor and outdoor fatal hypothermia cases in Chiba, Japan.

In forensic medicine, hypothermia is a frequently encountered cause of death, and this characteristic provides public health information to prevent similar deaths in the future. Previous studies revealed regional differences in hypothermia occurrence (indoors or outdoors). However, to our knowledge, no recent studies in Japan have directly compared the characteristics of indoor- and outdoor-onset cases based on forensic autopsy reports. Hence, this study aimed to determine the characteristics and risks of unexpected hypothermia-related death. It included 218 cases from the Chiba Prefecture, Japan, wherein forensic autopsies were performed and hypothermia was diagnosed; these cases were categorized into indoor- and outdoor-onset cases, and their characteristics were examined. The results showed no significant differences between the two groups in relation to the age of onset or residential environment (i.e., the presence or absence of cohabitants). The outdoor-onset group tended to have a higher incidence of dementia. Regarding the causes of hypothermia, the indoor group had more internal causes (p < 0.0001), whereas the outdoor group had more primary and external causes (p < 0.0001 and p = 0.0029, respectively). The indoor group was more undressed than the outdoor group. Atypical antipsychotic components were predominantly detected in the blood in the outdoor group (p = 0.0077). The body mass index tended to be lower in the indoor group than in the outdoor group. Broadening public awareness of the present study findings may aid in developing preventative strategies for hypothermia based on the location of onset.

Mortality Rates of the Spanish Flu and Coronavirus Disease 2019 in the Netherlands: A Historical Comparison.

The coronavirus disease 2019 (COVID-19) pandemic has been called the deadliest disease event in history. In this study, we compared the cause-specific mortality rate of the Spanish flu (1918-1920) with that of COVID-19 (2020-2022) in the Netherlands. During the periods of exposure, about 50 000 people died of COVID-19 and 32 000 people of the Spanish flu. In absolute numbers, COVID-19 seems to be deadlier than Spanish flu. However, the crude mortality rates for COVID-19 and Spanish flu were 287 and 486 per 100 000 inhabitants, respectively. Comparing age-standardized mortality rates, there would have been 28 COVID-19- and 194 Spanish flu-related deaths in 1918-1920, or 214 Spanish flu- and 98 COVID-19-related deaths in 2020-2022 per 100 000 inhabitants per year. Thus, taking the population differences into account, the Spanish flu would have been deadlier than COVID-19.

Years of Life Lost Due to Complete Suicide in Iran: A National Registry-Based Study.

BACKGROUND: Suicide was the fourth leading cause of death among individuals aged 15 to 29 years worldwide in 2019, highlighting its significant impact on young people. Iran's suicide-related mortality rate was 5.1 per 100000 population in the same year, which is lower than the global average. This study aimed to estimate the years of life lost (YLLs) due to complete suicide in Iran. Study Design: A registry-based cross-sectional study. METHODS: The data on complete suicide cases used in this study were obtained from the national suicide registry of the Iranian Forensic Medicine Organization (FMO) that was registered between March 21, 2016 and March 20, 2020. RESULTS: The total number of YLL due to premature death by suicide over the four-year period was 611068 years (15.97 per 1000 persons) in males, 286847 years (7.65 per 1000 persons) in females, and 897915 years (11.86 per 1000 persons) for both genders. Moreover, the age group of 15-29 years experienced the highest YLL attributed to suicide. Furthermore, the study revealed an increasing trend of YLL due to suicide among individuals aged 30-44. CONCLUSION: These findings highlight the significant impact of suicide on the loss of potential years of life in Iran. The study indicates that the young and productive age groups of 15-29 and 30-44 years are particularly affected, with the highest YLL due to complete suicide. The study provides valuable insights for designing targeted and evidence-based suicide prevention programs that can reduce the burden of suicide in Iran, particularly among young and middle-aged adults.

Blunt Force Trauma in the Canarian Houbara Bustard (Chlamydotis undulata fuertaventurae) Produced by Collision with Overhead Lines.

The mortality of birds resulting from collisions and electrocutions with overhead lines, such as power lines and phone lines, among others, has been implicated in the decline of various avian species globally. Specifically, overhead line collisions pose a significant threat to the conservation of the Canarian houbara bustard (Chlamydotis undulata fuertaventurae), an endangered subspecies endemic to the Canary Islands. This study centers on the postmortem findings of Canarian houbara bustards that have collided with overhead lines, providing insights into the post-collision outcomes for these birds. A complete standardized necropsy of nine Canarian houbara bustards revealed that trauma was the cause of death in all cases. The most notable gross lesions associated with trauma included bone fractures, soft tissue lacerations, hemorrhages, luxations, and hemocoelom. The inguinal area, chest, and wings were the body regions more frequently affected. A histopathology, immunohistochemistry, and entomology analysis confirmed that numerous birds survived the initial trauma. We concluded that when a houbara bustard collides with an overhead line, it frequently survives the initial trauma, with a survival time ranging from minutes to hours. The histopathology, immunohistochemistry, or entomologic analysis may be helpful to approximate the timing interval between trauma and death.

Social Determinants of Health Among American Indians and Alaska Natives and Tribal Communities: Comparison with Other Major Racial and Ethnic Groups in the United States, 1990-2022.

Background and Objective: Limited research exists on health inequities between American Indians and Alaska Natives (AIANs), tribal communities, and other population groups in the United States. To address this gap in research, we conducted time-trend analyses of social determinants of health and disease outcomes for AIANs as a whole and specific tribal communities and compared them with those from the other major racial/ethnic groups. Methods: We used data from the 1990-2022 National Vital Statistics System, 2015-2022 American Community Survey, and the 2018-2020 Behavioral Risk Factor Surveillance System to examine socioeconomic, health, disability, disease, and mortality patterns for AIANs. Results: In 2021, life expectancy at birth was 70.6 years for AIANs, lower than that for Asian/Pacific Islanders (APIs) (84.1), Hispanics (78.8), and non-Hispanic Whites (76.3). All racial/ethnic groups experienced a decline in life expectancy between the pre-pandemic year of 2019 and the peak pandemic year of 2021. However, the impact of COVID-19 was the greatest for AIANs and Blacks whose life expectancy decreased by 6.3 and 5.8 years, respectively. The infant mortality rate for AIANs was 8.5 per 1,000 live births, 78% higher than the rate for non-Hispanic Whites. One in five AIANs assessed their physical and mental health as poor, at twice the rate of non-Hispanic Whites or the general population. COVID-19 was the leading cause of death among AIANs in 2021. Risks of mortality from alcohol-related problems, drug overdose, unintentional injuries, and homicide were higher among AIANs than the general population. AIANs had the highest overall disability, mental and ambulatory disability, health uninsurance, unemployment, and poverty rates, with differences in these indicators varying markedly across the AIAN tribes. Conclusion and Global Health Implications: AIANs remain a disadvantaged racial/ethnic group in the US in many health and socioeconomic indicators, with poverty rates in many Native American tribal groups and reservations exceeding 40%.

Coding Diagnoses from the Electronic Death Certificate with the 11th Revision of the International Statistical Classification of Diseases and Related Health Problems: An Exploratory Study from Germany.

The 11th Revision of the International Statistical Classification of Diseases, Injuries, and Causes of Death (ICD-11) will replace its predecessor as international standard for cause-of death-statistics. The digitization of healthcare is a main motivation for its introduction. In parallel, the replacement of the paper-based death certificate with an electronic format is under evaluation. At the moment, the death certificate is used in paper-based format with ICD-10 for coding in Germany. To be prepared for the switch to ICD-11, the compatibility between ICD-11 and the electronic certificate should be assured. Objectives were to check the appropriateness of diagnosis-related information found on death certificates for an ICD-11 coding and to describe enhancements to the certificate's structure needed to fully utilize the strengths of ICD-11. As part of an exploratory test of a respective application, information from 453 electronic death certificates were provided by one local health authority. From a sample of 200 certificates, 433 diagnosis texts were coded into the German version of ICD-11. The appropriateness of the results as well as the further requirements of ICD-11, particularly with regard to post-coordination, were checked. For 430 diagnosis texts, 649 ICD-11 codes were used. Three hundred and sixty two diagnosis texts were rated as appropriately represented through the coding result. Almost all certificates contained diagnosis texts that lacked details required by ICD-11 for a precise coding. The distribution of diseases was very similar between ICD-10 and ICD-11 coding. A few gaps in ICD-11 were identified. Information requested by ICD-11 for a mandatory post-coordination were almost entirely absent from the death certificates. The structure and content of the death certificate are currently not well prepared for an ICD-11 coding. Necessary information was frequently missing. The line-oriented structure of death certificates has to be supplemented with a more flexible approach. Then, the semantic knowledge base of ICD-11 should better guide the content related input fields of a future electronic death certificate.