Cardiovascular Risk Factors Predicting Cardiovascular and Cancer Deaths in a Middle-Aged Population Followed-Up for 61 Years until Extinction.

BACKGROUND AND AIM: To study the relationships of cardiovascular risk factors with cancer and cardiovascular mortality in a cohort of middle-aged men followed-up for 61 years. MATERIALS AND METHODS: A rural cohort of 1611 cancer- and cardiovascular disease-free men aged 40-59 years was examined in 1960 within the Italian Section of the Seven Countries Study, and 28 risk factors measured at baseline were used to predict cancer (n = 459) and cardiovascular deaths (n = 678) that occurred during 61 years of follow-up until the extinction of the cohort with Cox proportional hazard models. RESULTS: A model with 28 risk factors and cancer deaths as the end-point produced eight statistically significant coefficients for age, smoking habits, mother early death, corneal arcus, xanthelasma and diabetes directly related to events, and arm circumference and healthy diet inversely related. In the corresponding models for major cardiovascular diseases and their subgroups, only the coefficients of age and smoking habits were significant among those found for cancer deaths, to which healthy diet can be added if considering coronary heart disease alone. Following a competing risks analysis by the Fine-Gray method, risk factors significantly common to both conditions were only age, smoking, and xanthelasma. CONCLUSIONS: A sizeable number of traditional cardiovascular risk factors were not predictors of cancer death in a middle-aged male cohort followed-up until extinction.

Methadone Take-Home Policies and Associated Mortality: Permitting versus Non-Permitting States.

To mitigate COVID-19 exposure risks in methadone clinics, the Substance Abuse and Mental Health Services Administration (SAMHSA) issued a temporary modification of regulations in March 2020 to permit, with state concurrence, extended take-home methadone doses. The modification allowed for up to 28 days of take-home methadone for stable patients and 14 days for those less stable. Using both interrupted time series and difference-in-differences methods, this study examined the association between the policy change and fatal methadone overdoses, comparing states that permitted the expansion of take-home doses with states that did not. The findings suggest the pandemic emergency take-home policy did not increase methadone-involved mortality.

The role of miRNA-21 and hypoxia inducible factor-1 in predicting post mortem interval in cardiac muscles of aluminum phosphide deaths.

BACKGROUND: The assessment of the postmortem interval (PMI) represents one of the major challenges in forensic pathology. Because of their stability, microRNAs, or miRNAs, are anticipated to be helpful in forensic research. OBJECTIVE: To see if estimation of PMI is possible using miRNA-21 and Hypoxia-inducible factor-1α (HIF-1α) expression levels in the heart samples from aluminum phosphide toxicity (Alpt). METHODS: This was a cross sectional study on 60 post-mortem samples (heart tissues) collected at different intervals during forensic autopsies. The two groups were allocated equally according to the cause of death into Group I (non-toxicated deaths, n = 30): Deaths caused by other than toxicity, and Group II (toxicated deaths, n = 30): Deaths due to Alpt. MDA (Malondialdehyde) and GSH (Glutathione), were measured in heart tissues using ELIZA. MiRNA- 21and HIF-1α expression levels were measured in heart tissues at different PMI using RT-Q PCR. ROC curve for detection of toxicated deaths using miRNA-21 and HIF was carried out. RESULTS: miRNA-21 and HIF-1α expression levels in Alp deaths were up regulated while GSH was downregulated with statistically significant difference. There was positive correlation between miRNA-21, HIF-1α and MDA with PMI while there was negative correlation between GSH and PMI in Alp deaths. In prediction of post mortem interval in Alp deaths miRNA-21 sensitivity and specificity were (75.9 %, 51.7 %, respectively) while HIF-1α sensitivity and specificity were 100 %. CONCLUSION: PMI can be calculated using the degree to which particular miRNA-21 and HIF-1α are expressed in the heart tissue. The combination of miRNA-21 with HIF-1α in post mortem estimation is precious indicators.

Gynaecological cancer-related deaths in a tertiary hospital: A four-year retrospective review.

The aim of this study is to describe the profile, causes of death, and associated complications among women who died with a diagnosis of gynecological cancer during a four-year period in a gynae oncology unit in a tertiary hospital. The study is based on a retrospective review of clinical records of patients. There were 368 gynecological cancer admissions during the study period and 51 gynecological cancer-related deaths (13.8%); however, only 48 (13%) of the 51 files were available for analysis. The mean age of the women who died was 52.7 years (SD ±16.92). Most of the women who died were South African citizens (41, 85%), black (44, 91.7%) and unemployed (37, 77.1%). The most common comorbidities were hypertension and HIV which occurred at similar frequencies (20, 41.7%), followed by diabetes mellitus (7, 14,6%). The three most common cancers were cervical (18, 37.5%), ovarian (13, 27.1%), and endometrial (12, 25,0%). All women who died (48, 100%) had some form of cancer-related complications on admission to the hospital. The most common complication at presentation was obstructive uropathy (16, 31.3%) followed by ascites (11, 21.6%) and pleural effusion (8, 15.8%). Just less than half of the patients (22, 45.8%) received palliative treatment due to advanced-stage disease, and the remainder, (20, 41.6%) and (5, 10.4%) surgical and radiation therapy, respectively. The surgical procedure performed was staging laparotomy for ovarian and endometrial cancer (19, 95%) and radical hysterectomy and lymph node dissection for operatable cervical cancer (01, 5%). Forty-nine complications were recorded among the 20 women who underwent surgical treatment. The most common complications were sepsis and hemorrhage followed by organ injury.

Le but de cette étude est de décrire le profil, les causes de décès et les complications associées chez les femmes décédées avec un diagnostic de cancer gynécologique au cours d'une période de quatre ans dans une unité de gynécologie-oncologie d'un hôpital tertiaire. L'étude est basée sur une revue rétrospective des dossiers cliniques des patients. Il y a eu 368 admissions pour cancer décès liés au cancer gynécologique 51 décès d'origine gynécologique (13,8 %) ; cependant, seulement 48 (13 %) des 51 dossiers étaient disponibles pour analyse. L'âge moyen des femmes décédées était de 52,7 ans (ET ± 16,92). La plupart des femmes décédées étaient des citoyennes sud-africaines (41, 85 %), noires (44, 91,7 %) et au chômage (37, 77,1 %). Les comorbidités les plus courantes étaient l'hypertension et le VIH, qui survenaient à des fréquences similaires (20, 41,7 %), suivis du diabète sucré (7, 14,6 %). Les trois cancers les plus courants étaient le cancer du col de l'utérus (18, 37,5 %), de l'ovaire (13, 27,1 %) et de l'endomètre (12, 25,0 %). Toutes les femmes décédées (48, 100 %) ont présenté une forme ou une autre de complications liées au cancer lors de leur admission à l'hôpital. La complication la plus fréquente lors de la présentation était l'uropathie obstructive (16, 31,3 %), suivie de l'ascite (11, 21,6 %) et de l'épanchement pleural (8, 15,8 %). Un peu moins de la moitié des patients (22, 45,8 %) ont reçu un traitement palliatif en raison d'un stade avancé de la maladie, et le reste (20, 41,6 %) et (5, 10,4 %), une chirurgie et une radiothérapie, respectivement. L'intervention chirurgicale réalisée était une laparotomie de stadification pour un cancer de l'ovaire et de l'endomètre (19, 95 %) et une hystérectomie radicale et un curage ganglionnaire pour un cancer du col de l'utérus opérable (01, 5 %). Quarante-neuf complications ont été enregistrées parmi les 20 femmes ayant bénéficié d'un traitement chirurgical. Les complications les plus courantes étaient la septicémie et l'hémorragie, suivies de lésions organiques.

Improving Naloxone Co-prescribing Through Clinical Decision Support.

BACKGROUND: Despite national guidelines recommending naloxone co-prescription with high-risk medications, rates remain low nationally. This was reflected at our institution with remarkably low naloxone prescribing rates. We sought to determine if a clinical decision support (CDS) tool could increase rates of naloxone co-prescribing with high-risk prescriptions. METHODS:  An alert in the electronic health record was triggered upon signing an order for a high-risk opioid medication without a naloxone co-prescription. We examined all opioid prescriptions written by family and general internal medicine practitioners at the University of Iowa Hospitals and Clinics in outpatient encounters between November 30, 2020, and February 28, 2022. Once triggered by a high-risk prescription, the CDS tool had the option to choose an order set with an automatically selected co-prescription for naloxone along with patient instructions automatically added to the patient's after-visit summary (AVS). We examined the monthly percentage of patients receiving Schedule II opioid prescriptions ≥90 morphine milliequivalents (MME)/day who received concurrent naloxone prescriptions in the 12 months before the CDS went live and the three months following go-live. RESULTS:  Concurrent naloxone prescriptions increased from 1.1% in the 12 months prior to implementation in November 2021 to 9.4% (p<0.001) during the post-intervention period across eight family medicine and internal medicine clinics. DISCUSSION:  This single-center quality improvement project with retrospective analysis demonstrates the potential efficacy of a single CDS tool in increasing the rate of naloxone prescription. The impact of such prescribing on overall mortality requires further research. CONCLUSIONS: The CDS tool was easy to implement and improved rates of appropriate naloxone co-prescribing.

A comparison of the characteristics of accidental substance-related acute toxicity deaths in Canada across life stages, 2016-2017. / Comparaison des caractéristiques des décès accidentels attribuables à une intoxication aiguë due à une substance au Canada aux différents stades de la vie, 2016-2017.

The acute toxicity (sometimes called "overdose" or "poisoning") crisis has affected Canadians across all stages of life, including youth, adults and older adults. Our biological risks and exposures to substances change as we age. Based on a national chart review study of coroner and medical examiner data on acute toxicity deaths in 2016 and 2017, this analysis compares the burden of deaths and circumstances of death, locations of acute toxicity event and death, health history and substances contributing to death of people, by sex and life stage.

This analysis reveals key differences in the characteristics of acute toxicity deaths by sex and life stage, and suggests potential intervention points for each group. Many people across demographics were alone while using substances before the acute toxicity event, and many were alone when they died. Youth, particularly female youth, more often died in circumstances where someone might have been available to help by calling 911 or administering first aid and naloxone. For the people who were in contact with health care prior to their death, about one-quarter (24%­28%) of adults and older adults sought assistance for reasons related to pain. Youth more often sought assistance for a nonfatal acute toxicity event (13%­14%) or for mental health (particularly female youth, 21%) than people in other life stages. Multiple substances contributed to most deaths, and both pharmaceutical and nonpharmaceutical substances were common causes of death for all life stages and sexes. There are demographic differences in the specific substances contributing to death.

Cette analyse présente les différences clés des caractéristiques des décès attribuables à une intoxication aiguë par sexe et stade de la vie, et propose des interventions possibles pour chaque groupe. Dans toutes les catégories démographiques, plusieurs personnes étaient seules au moment de consommer des substances avant l'intoxication aiguë, et plusieurs d'entre elles étaient seules au moment du décès. Les jeunes, et en particulier les jeunes femmes, sont décédées le plus souvent dans des circonstances où quelqu'un aurait pu être disponible pour aider en appelant le 911 ou en administrant les premiers soins et la naloxone. Parmi les personnes qui étaient en contact avec le système de santé avant leur décès, environ le quart (24 % à 28 %) des adultes et des aînés ont sollicité de l'aide pour des raisons liées à la douleur. Les jeunes ont plus souvent sollicité de l'aide pour une intoxication aiguë non mortelle (13 % à 14 %) ou pour des raisons liées à la santé mentale (en particulier les jeunes femmes, 21 %) que les personnes à d'autres stades de la vie. La polyconsommation de substances était en cause pour la plupart des décès, et les substances pharmaceutiques et non pharmaceutiques étaient toutes deux des causes courantes de décès pour tous les stades de la vie et les sexes. Il existe des différences démographiques en lien avec les substances spécifiques ayant contribué aux décès.

Real-time forecast of temperature-related excess mortality at small-area level: towards an operational framework.

The development of innovative tools for real-time monitoring and forecasting of environmental health impacts is central to effective public health interventions and resource allocation strategies. Though a need for such generic tools has been previously echoed by public health planners and regional authorities responsible for issuing anticipatory alerts, a comprehensive, robust and scalable real-time system for predicting temperature-related excess deaths at a local scale has not been developed yet. Filling this gap, we propose a flexible operational framework for coupling publicly available weather forecasts with temperature-mortality risk functions specific to small census-based zones, the latter derived using state-of-the-art environmental epidemiological models. Utilising high-resolution temperature data forecast by a leading European meteorological centre, we demonstrate a real-time application to forecast the excess mortality during the July 2022 heatwave over England and Wales. The output, consisting of expected temperature-related excess deaths at small geographic areas on different lead times, can be automated to generate maps at various spatio-temporal scales, thus facilitating preventive action and allocation of public health resources in advance. While the real-case example discussed here demonstrates an application for predicting (expected) heat-related excess deaths, the framework can also be adapted to other weather-related health risks and to different geographical areas, provided data on both meteorological exposure and the underlying health outcomes are available to calibrate the associated risk functions. The proposed framework addresses an urgent need for predicting the short-term environmental health burden on public health systems globally, especially in low- and middle-income regions, where rapid response to mitigate adverse exposures and impacts to extreme temperatures are often constrained by available resources.

Hospital referrals, exclusions from hospital care, and deaths among long-term care residents in the Community of Madrid during the March-April 2020 COVID-19 epidemic period: a multivariate time series analysis.

BACKGROUND: From March 7 to April 7, 2020, the Community of Madrid (CoM), Spain, issued interventions in response to the COVID-19 epidemic, including hospital referral triage protocols for long-term care facility (LTCF) residents (March 18-25). Those with moderate to severe physical disability and cognitive impairment were excluded from hospital referral. This research assesses changes in the association between daily hospital referrals and the deaths of LTCF residents attributable to the triage protocols. METHODS: Daily hospital referrals and all-cause mortality from January to June 2020 among LTCF residents and the CoM population aged 65 + were obtained. Significant changes in LTCF resident daily hospital referrals time series, and in-LTCF and in-hospital daily deaths, were examined with tests for breaks and regimes in time series. Multivariate time series analyses were conducted to test changes in the associations between LTCF resident hospital referrals with daily deaths in-hospital and in-LTCF, and in the CoM population aged 65 + when the triage protocols were implemented. RESULTS: Among LTCF residents, hospital referrals declined sharply from March 6 to March 23, 2020. Increases in LTCF residents' daily deaths occurred from March 7 to April 1, followed by a decrease reaching pre-epidemic levels after April 28. The daily ratio of in-hospital deaths to in-LTCF deaths reached its lowest values from March 9 to April 19, 2020. The four versions of the triage protocol, published from March 18 to March 25 had no impact on further changes in the association of hospital referrals with daily deaths of LTCF residents in-hospital or in-LTCF. CONCLUSIONS: While LTCF residents' deaths increased, hospital referrals of LTCF residents decreased with the introduction of the CoM governmental interventions on March 7. They were implemented before the enactment of the triage protocols, protecting hospitals from collapse while overlooking the need for standards of care within LTCFs. The CoM triage protocols sanctioned the existing restrictions on hospital referrals of LTCF residents.

Preventability of Hospital Deaths in Patients with Non-Ventilator Hospital-Acquired Pneumonia.

BACKGROUND: Crude and adjusted mortality rates for patients with non-ventilator hospital-acquired pneumonia (NV-HAP) are amongst the highest of all healthcare-associated infections, leading to calls for greater prevention. Patients prone to NV-HAP, however, tend to be severely ill at baseline making it unclear whether their high mortality rates are due to NV-HAP, underlying conditions, or both. METHODS: Two infectious disease physicians conducted detailed medical record reviews on 150 randomly selected adults from 4 hospitals who died in-hospital following an NV-HAP event between April 2016 and May 2021. Reviewers abstracted risk factors, estimated the preventability of NV-HAP, identified causes of death, and adjudicated the preventability of death. RESULTS: Patients' median age was 69.3 (IQR 60.7-77.4) and 43.3% were female. Comorbidities were common: 57% had cancer, 30% chronic kidney disease, 29% chronic lung disease, and 27% heart failure. At least one hospice-eligible condition was present before NV-HAP in 54% and "Do Not Resuscitate" orders in 24%. Most (99%) had difficult-to-modify NV-HAP risk factors: 76% altered mental status, 35% dysphagia, and 27% nasogastric/orogastric tubes. NV-HAP was deemed possibly or probably preventable in 21% and hospital death likely or very likely preventable in 8.6%. CONCLUSIONS: Most patients who die following NV-HAP have multiple, severe underlying comorbidities and difficult-to-modify risk factors for NV-HAP. Only 1 in 5 NV-HAPs that culminated in death and 1 in 12 deaths following NV-HAP were judged potentially preventable. This does not diminish the importance of NV-HAP prevention programs but informs expectations about the potential magnitude of their impact on hospital deaths.

Are employment and social integration more strongly associated with deaths of despair than psychological or economic distress?

The label "deaths of despair" for rising US mortality related to drugs/alcohol/suicide seems to implicate emotional distress as the cause. However, a Durkheimian approach would argue that underlying structural factors shape individuals' behavior and emotions. Despite a growing literature on deaths of despair, no study has directly compared the effects of distress and structural factors on deaths of despair versus other causes of mortality. Using data from the Midlife in the United States study with approximately 26 years of mortality follow-up, we evaluated whether psychological or economic distress, employment status, and social integration were more strongly associated with drug/alcohol/suicide mortality than with other causes. Cox hazard models, adjusted for potential confounders, showed little evidence that psychological or economic distress were more strongly associated with mortality related to drugs/alcohol/suicide than mortality from other causes. While distress measures were modestly, but significantly associated with these deaths, the associations were similar in magnitude for many other types of mortality. In contrast, detachment from the labor force and lower social integration were both strongly associated with drug/alcohol/suicide mortality, more than for many other types of mortality. Differences in the estimated percentage dying of despair between age 25 and 65 were larger for employment status (2.0% for individuals who were neither employed nor retired versus only 0.6% for currently employed) and for social integration (1.9% for low versus 0.7% for high integration) than for negative affect (1.2% for high versus 0.8% for no negative affect). Most of the association between distress and drug/alcohol/suicide mortality appeared to result from confounding with structural factors and with pre-existing health conditions that may influence both the perception of distress and mortality risk. While deaths of despair result from self-destructive behavior, our results suggest that structural factors may be more important determinants than subjective distress.

Temporal trends in Parkinson's disease among older adults in the United States from 1999 to 2020: Retrospective analysis from CDC WONDER database.

This retrospective study assessed the mortality trends related to Parkinson's Disease (PD) between 1999 and 2020. We assessed individuals aged 65 years and older and a total of 831,793 deaths were identified. Of these total number of deaths, place of death was accessible for 830,176 cases. Majority of the deaths occurred in nursing homes of long-term care facilities (367,633), followed by at home (212,886), medical facilities (165,450), other locations (44,506), and hospice (39,701). Analysis of age-adjusted mortality rates (AAMR) revealed an overall rise from 1999 to 2020, 88.9 to 119.6 per 100,000 population. AAMR showed an initial decline between 1999 and 2013, followed by a slight increase between 2013 and 2018 and then a significant rise from 2018 to 2020. Gender-based analysis showed a constantly higher AAMR for older men compared to older women. Variations in AAMR based on race and ethnicity revealed that Non-Hispanic White population had the highest AAMRs. Geographic disparities among states showed that Nebraska, Vermont, Minnesota, Utah, and Idaho had a significantly higher AAMR than Hawaii, Florida, Nevada. New York, and District of Columbia. Midwest region had a consistently higher AAMR followed by West, South, and Northeast. Additionally, nonmetropolitan areas had a higher AAMR than metropolitan areas. These findings offer valuable insights into mortality patterns related to PD among the elderly, highlighting the significance of incorporating demographic and geographic variables into public health planning and interventions.

[Exploring the reality of seafarers' deaths and injuries and preventive measures from the cases of overwork-related disorders].

OBJECTIVES: Till date, only few studies have detailed the reality of overwork-related disorders among seafarers. Therefore, in this study, we aimed to evaluate the prevalence of overwork-related disorders among seafarers and assess factors such as patient attributes, diseases diagnosed at the time of determination, workload factors, and other aspects, thereby suggesting relevant preventative measures. METHODS: Among all the patients identified with overwork-related disorders from April 2010 to March 2017, 2,280 cases of cerebrovascular and cardiovascular diseases and 3,517 cases of mental disorders were selected. To identify seafarer-related cases, keywords related to seafarers were extracted. Subsequently, 33 cases of cardiovascular disease and 19 cases of mental disorders were obtained. RESULTS: The average age of the patients with cerebrovascular and cardiovascular diseases was 56.7 years; for those with mental disorders, it was 45.2 years. The patients were most commonly engaged in fishing, transportation, and postal services. Most patients were employed in the deck department or were captains. The most common types of vessels were fishing and cargo ships. Among the diseases diagnosed at the time of determination, cerebrovascular diseases accounted for 20 cases (60.6%) and cardiovascular diseases accounted for 13 cases (39.4%), with cerebral and myocardial infarctions being the most frequent conditions. Among mental disorders, "mood disorders" accounted for 7 cases (36.8%), and "neurotic disorders, stress-related disorders, and somatoform disorders" accounted for 12 cases (63.2%), with major depressive episodes, post-traumatic stress disorder, and adjustment disorders being the most common. The most common workload factor for patients with cerebrovascular and cardiovascular diseases was "long-term excessive work," and among non-workload factors, "long working hours" and "irregular working hours" were prevalent. For mental disorders, 8 cases were attributed to "extreme psychological stress." Specific events leading to these diseases included "interpersonal relationships," "experiencing accidents or disasters," and "work quantity and quality." CONCLUSIONS: Both cerebrovascular and cardiovascular diseases, as well as mental disorders, showed a notable aging trend among seafarers. Thus, measures that consider the characteristics of elderly workers, such as their physical function, are important. Additionally, as seafarers are distributed across various industries and occupations, measures should be specifically tailored to their industry and job type. Our study confirmed that long working hours and irregular working hours were prevalent in both cases. Therefore, there is an urgent need for further efforts to prevent and mitigate overwork-related deaths among seafarers, including organizational support from onshore workplaces and enhancement of medical and operational support using information and communication technology.

What is a migrant death? An operational definition for a more accurate enumeration of migrant mortality along the US-Mexico border.

Over the last forty years an indeterminate number of persons, ranging from thousands to tens of thousands, have died along the US-Mexico border during migration, fleeing poverty, armed conflict, situations of violence, and disasters. An accurate accounting of migrant deaths along the southern US border is the first step toward an understanding of the extent and the contributing factors of these deaths. In this article, we describe a key aspect of our collaborative work aimed at developing a more representative account of migrant mortality along the southwestern US border: the determination of criteria for inclusion of specific forensic cases as "migrant." Our intention is not to propose a definition of "what is a migrant death" applicable to all contexts and situations but rather one specific to the US-Mexico border region. Our main impetus is to build and launch a web portal to track and map migrant deaths at the US-Mexico border. The criteria we have identified are based on an examination of death data collected by various agencies in the four border states (California, Arizona, New Mexico, and Texas) and at the federal level by the National Missing and Unidentified Persons System (NamUs). They include a) context of human remains discovery; b) identification media/documentation; c) geographic setting; and d) personal effects. Taken together, these criteria will facilitate our determination, case by case, of the probability that human remains found along the United States side of the border may be from a person in the context of migration.

Global Epidemiologic Trends and Projections to 2030 in Non-Rheumatic Degenerative Mitral Valve Disease from 1990 to 2019: An Analysis of the Global Burden of Disease Study 2019.

Background: No studies have updated the epidemiologic changes in non-rheumatic degenerative mitral valve disease (DMVD) since 2019, thus this study utilized data from the Global Study of Diseases, Injuries, and Risk Factors 2019 (GBD2019) to assess the burden of DMVD in 204 countries and territories over the period 1990-2019, as well as changes in the prevalence, incidence, deaths and changes in disability-adjusted life years (DALYs). Methods: Using the results from the GBD2019, analyzing the incidence, prevalence, deaths, and DALYs rates, as well as their age-standardized rates (ASR). Based on the human development index (HDI), the socio-demographic index (SDI), age, and sex. Results: In 2019, there were 24.229 million (95% uncertainty interval (UI) 23.081-25.419 million) existing cases of DMVD worldwide, with 1.064 million (95% UI 1.010-1.122 million) new cases and 0.034 million (95% UI 0.028-0.043 million) deaths, and 0.883 million (95% UI 0.754-1.092 million) disability-adjusted life years. The incidence, prevalence, deaths, and DALYs of DMVD and their ASR showed significant differences across sex, age groups, regions, and countries from 1990 to 2019. It is projected that by 2030, the incidence of DMVD in females will be 0.72 million with an ASR of 15.59 per 100,000 population, 0.51 million in males with an ASR of 11.75 per 100,000 population, and a total incidence of 1.23 million with an ASR of 14.03 per 100,000 population. Conclusions: DMVD remains a significant public health problem that cannot be ignored, despite a decreasing trend in the ASR of global incidence, prevalence, deaths and DALYs from 1990 to 2019. However, we note an adverse development trend in countries with low socio-demographic indexes and seriously aging societies, and sex inequality is particularly prominent. This indicates the need to reposition current prevention and treatment strategies, with some national health administrations developing corresponding strategies for preventing an increase in DMVD based on local health, education, economic conditions, sex differences, and age differences.

Sudden death after a mountain bike race.

Presented case study deals with the sudden death of a 47 years old male, shortly after a mountain bike race after reported nausea and chest pain followed by loss of consciousness and resuscitation. Cardiopulmonary resuscitation was unsuccessful. An autopsy was enacted due to the sudden death in a seemingly healthy person. An acute infarction of the anterior cardiac wall on the basis of stenosis of the anterior interventricular branch of the left coronary artery with histopathological findings of eosinophilic coronary periarteritis was assessed. Sudden death during sport activities represents a complex problem which forensic physicians have to face. An external and internal examination of the body is not always sufficient. It is crucial for the forensic physician to have sufficient knowledge and enough information about the circumstances of the death and anamnestic records. Eosinophilic coronary periarteritis occurs rarely, predominantly in males and with uncertain etiology.

Deaths of despair-associated mortality rates globally: a 2000-2019 sex-specific disparities analysis.

OBJECTIVES: The aim of this study was to explore sex-specific disparities in rates of deaths of despair across 183 countries from 2000 to 2019. STUDY DESIGN: Secondary analysis of cross-sectional population-level data. METHODS: Data were obtained from the World Health Organization Health Inequality Data Repository. We analysed data on mortality due to alcohol, drug-use disorders, and self-harm (as a proxy for suicide). We calculated the average rate of deaths of despair by year and sex, trends in these rates, and cause-specific mortality trends. We then fitted mixed-effect generalised linear models to compare mortality rates by sex and country. RESULTS: Analyses revealed significant disparities by sex, with a 3.3-fold higher rate among men than among women globally (95% confidence interval: 3.1-3.5, P < 0.001). There was a significant decline in deaths of despair globally and among both sexes during the assessed period (5% per 5 years). Lesotho, Belarus, the US, the Russian Federation, Guyana, and Slovenia ranked among the top 10 countries out of 183 with the highest mortality rates for both sexes. Canada, the Republic of Korea, Belgium, and Finland were countries with the highest mortality rates among women, whereas Ukraine, Lithuania, Mongolia, and Eswatini have the highest rates among men. In the US, 5-year mortality rates increased by 35% for women and 21% for men: drug-use mortality showed a significant increase over time, whereas suicide rates decreased for both sexes in the given country. Additionally, mortality rates from alcohol use decreased among women. CONCLUSIONS: This global analysis shed light on health disparities by sex in deaths of despair, especially concerning trends in the US. It identified countries and groups in need of targeted mental health and substance-use programs. Moreover, the disparities by sex revealed in this analysis suggest that mental health and substance-use interventions and programs may need to be more attentive to sex and/or gender, such as inequitable social norms and restrictive forms of masculinities, which have been shown to be contributing factors to deaths of despair.

Birth Patterns in the Aftermath of the 1918 Influenza Pandemic in India: The Case of Madras City.

This paper examines the timing of one-time fluctuations in births subsequent to the 1918 influenza pandemic in Madras (now Chennai), India. After seasonally decomposing key demographic aggregates, we identified abrupt one-time fluctuations in excess births, deaths, and infant deaths. We found a contemporaneous spike in excess deaths and infant deaths and a 40-week lag between the spike in deaths and a subsequent deficit in births. The results suggest that India experienced the same kind of short-term postpandemic "baby bust" that was observed in the United States and other countries. Identifying the mechanisms underlying this widespread phenomenon remains an open question and an important topic for future research.

Impact of Ambient Temperature on Mortality Burden and Spatial Heterogeneity in 16 Prefecture-Level Cities of a Low-Latitude Plateau Area in Yunnan Province: Time-Series Study.

Background: The relation between climate change and human health has become one of the major worldwide public health issues. However, the evidence for low-latitude plateau regions is limited, where the climate is unique and diverse with a complex geography and topography. objectives: This study aimed to evaluate the effect of ambient temperature on the mortality burden of nonaccidental deaths in Yunnan Province and to further explore its spatial heterogeneity among different regions. Methods: We collected mortality and meteorological data from all 129 counties in Yunnan Province from 2014 to 2020, and 16 prefecture-level cities were analyzed as units. A distributed lagged nonlinear model was used to estimate the effect of temperature exposure on years of life lost (YLL) for nonaccidental deaths in each prefecture-level city. The attributable fraction of YLL due to ambient temperature was calculated. A multivariate meta-analysis was used to obtain an overall aggregated estimate of effects, and spatial heterogeneity among 16 prefecture-level cities was evaluated by adjusting the city-specific geographical characteristics, demographic characteristics, economic factors, and health resources factors. Results: The temperature-YLL association was nonlinear and followed slide-shaped curves in all regions. The cumulative cold and heat effect estimates along lag 0-21 days on YLL for nonaccidental deaths were 403.16 (95% empirical confidence interval [eCI] 148.14-615.18) and 247.83 (95% eCI 45.73-418.85), respectively. The attributable fraction for nonaccidental mortality due to daily mean temperature was 7.45% (95% eCI 3.73%-10.38%). Cold temperature was responsible for most of the mortality burden (4.61%, 95% eCI 1.70-7.04), whereas the burden due to heat was 2.84% (95% eCI 0.58-4.83). The vulnerable subpopulations include male individuals, people aged <75 years, people with education below junior college level, farmers, nonmarried individuals, and ethnic minorities. In the cause-specific subgroup analysis, the total attributable fraction (%) for mean temperature was 13.97% (95% eCI 6.70-14.02) for heart disease, 11.12% (95% eCI 2.52-16.82) for respiratory disease, 10.85% (95% eCI 6.70-14.02) for cardiovascular disease, and 10.13% (95% eCI 6.03-13.18) for stroke. The attributable risk of cold effect for cardiovascular disease was higher than that for respiratory disease cause of death (9.71% vs 4.54%). Furthermore, we found 48.2% heterogeneity in the effect of mean temperature on YLL after considering the inherent characteristics of the 16 prefecture-level cities, with urbanization rate accounting for the highest proportion of heterogeneity (15.7%) among urban characteristics. Conclusions: This study suggests that the cold effect dominated the total effect of temperature on mortality burden in Yunnan Province, and its effect was heterogeneous among different regions, which provides a basis for spatial planning and health policy formulation for disease prevention.

The global burden of disease attributable to high body mass index in 204 countries and territories: Findings from 1990 to 2019 and predictions to 2035.

AIM: Our study aims to provide an updated estimate of age- and sex-specific deaths and disability-adjusted life years (DALYs) associated with high body mass index (BMI) from 1990 to 2019 at the global, regional and national levels, and to forecast the global burden of disease attributed to high BMI from 2020 to 2035. METHODS: We used the data for the number of deaths, DALYs, age-standardized rate (per 100 000 population), percentage change and population attributable fraction from the Global Burden of Disease Study 2019 (GBD 2019) to examine the disease burden attributable to high BMI. We further applied an autoregressive integrated moving average (ARIMA) model to predict the disease burden for the period 2020-2035. RESULTS: From 1990 to 2019, the deaths and DALYs attributable to high BMI increased by 148% and 155.86% for men, and by 111.67% and 121.78% for women, respectively. In 2019, high BMI directly accounted for 8.52% [95% uncertainty intervals (UI) 0.05, 0.12] of all-cause deaths and 5.89% (95% UI 0.04, 0.08) of global DALYs. The highest death rates were observed in men aged 65-69 and women aged 75-79. The highest DALY rates were observed in the age group of 60-64 for both sexes. In 2019, the highest age-standardized deaths and DALY rates were observed in the Central Asia region [163.15 (95% UI 107.72, 223.58) per 100 000 people] and the Oceania region [4643.33 (95% UI 2835.66, 6902.6) per 100 000 people], respectively. Fiji [319.08 (95% UI 213.77, 444.96) per 100 000 people] and Kiribati [10 000.58 (95% UI 6266.55, 14159.2) per 100 000 people] had the highest age-standardized deaths and DALY rates, respectively. In 2019, the highest age-standardized rates of high BMI-related deaths and DALYs were observed in the middle-high socio-demographic index quintile and in the middle socio-demographic index quintile. The age-standardized deaths and DALY rates attributable to high BMI are projected to increase in both sexes from 2020 to 2035. The death rates are projected to rise from 62.79 to 64.31 per 100 000 people, while the DALY rates are projected to rise from 1946 to 2099.54 per 100 000 people. CONCLUSIONS: High BMIs significantly contribute to the global disease burden. The projected rise in deaths and DALY rates attributable to high BMI by 2035 highlights the critical need to address the impact of obesity on public health. Our study provides policymakers with up-to-date and comprehensive information.