Lung is the largest organ of the respiratory system. During hypoxia, pulmonary cells undergo rapid damage changes and activate the self-rescue pathways, thus leading to complex biomacromolecule modification. Death from mechanical asphyxia refers to death due to acute respiratory disorder caused by mechanical violence. Because of the absence of characteristic signs in corpse, the accurate identification of mechanical asphyxia has always been the difficulty in forensic pathology. This paper reviews the biomacromolecule changes under the pulmonary hypoxia condition and discusses the possibility of application of these changes to accurate identification of death from mechanical asphyxia, aiming to provide new ideas for related research.
Humans ; Asphyxia/pathology* ; Cause of Death ; Hypoxia/pathology* ; Lung/pathology* ; Forensic Pathology

To study of premature/early death of autistic patients from the perspective of life course can help families, medical institutions and policy makers better deal with the adverse effects of autism. Several studies have shown that autistic patients have a high risk of death, however, the results are still inconsistent. To assess the risk of mortality among the autistic patients, we undertook a comprehensive search of MEDLINE, Web of Science and EMBASE databases. This paper reviewed the studies on the negative disease outcomes of autism spectrum disorders, including the risk of death, causes of death and several research hotspots in this field. Strict inclusion/exclusion criteria were used. Information was extracted from selected papers, tabulated and synthesized. In the study, 15 studies were included, with a total of 216 045 individuals. The main outcome was all-cause mortality in association with autism and the secondary outcome was cause-specific mortality. The results showed that all-cause mortality was higher for the autistic patients (RR=2.32, 95%CI: 1.98-2.72, I²=87.1%, P < 0.001). Risk ratio showed a greater inequality for female than male (male: RR=2.00, 95%CI: 1.57-2.55, I²=93.2%, P < 0.001; female: RR=4.66, 95%CI: 3.30-6.58, I²=92.0%, P < 0.001). Compared with the unnatural death, the risk of natural death was higher (RR=3.44, 95%CI: 1.27-9.26, I²=80.2%, P=0.025). As autism had many comorbidities, which would bring more health risks and natural deaths possibilities. There were some structural differences in unnatural death. Accidental injury death and suicide were two kinds of causes. Lacking social skills would weaken the ability to ask for help when encountering injuries. This paper put forward some suggestions for futures. First, to well study the comorbidity can reduce the risk of death from a medical point of view. Second, the scientists and policymakers should pay attention to the social environment and provide a safer environment for the autistic patients. Third, for women and for adolescents without cognitive impairment, due to their high risk of suicide, the society should provide them with more supportive social networks and improve their life satisfaction. Fourth, it is necessary to balance the rehabilitation resources in various regions in China and provide more high-quality lifelong rehabilitation monitoring and care services.
Adolescent ; Humans ; Male ; Female ; Autism Spectrum Disorder ; Cause of Death ; Comorbidity ; Autistic Disorder ; China

The coronavirus disease 2019 (COVID-19) has been a global epidemic for more than three years, causing more than 6.9 million deaths. COVID-19 has the clinical characteristics of strong infectivity and long incubation period, and can cause multi-system damage, mainly lung damage, clinical symptoms of acute respiratory distress syndrome (ARDS) and systemic multiple organ damage. The SARS-CoV-2 virus is still constantly mutating. At present, there is no global consensus on the pathological changes of COVID-19 associated deaths and even no consensus on the criteria for determining the cause of death. The investigation of the basic pathological changes and progression of the disease is helpful to guide the clinical treatment and the development of therapeutic drugs. This paper reviews the autopsy reports and related literature published worldwide from February 2020 to June 2023, with a clear number of autopsy cases and corresponding pathological changes of vital organs as the inclusion criteria. A total of 1 111 autopsy cases from 65 papers in 18 countries are included. Pathological manifestations and causes of death are classified and statistically analyzed, common pathological changes of COVID-19 are summarized, and analytical conclusions are drawn, suggesting that COVID-19 infection can cause life-threatening pathological changes in vital organs. On the basis of different health levels of infected groups, the direct cause of death is mainly severe lung damage and secondary systemic multiple organ failure.
Humans ; SARS-CoV-2 ; COVID-19/pathology* ; Cause of Death ; Lung/pathology* ; Autopsy

OBJECTIVE: To analyze the mortality of injuries among children and adolescents aged 5 to 24 in China from 1990 to 2019, and to provide the theoretical basis for the formulation of policies related to injury prevention. METHODS: The mortality data of children and adolescents aged 5 to 24 years in China between 1990 and 2019 were obtained from Global Burden of Disease (GBD) 2019, and the change in mortality between 1990 and 2019 was described. Age-period-cohort analysis was utilized to determine the age effect, period effect and cohort effect for road injuries, drowning and self-harm. RESULTS: Injury mortality of Chinese children and adolescents aged 5 to 24 years decreased from 46.22 [95% uncertainty interval (UI): 40.88-52.12] per 100 000 to 20.36 (95%UI: 17.58-23.38) per 100 000 between 1990 and 2019. Sub-group analysis revealed a pattern that was basically consistent with the overall trend. From 1990 to 2019, drowning declined from the first leading cause of injury death among children and adolescents aged 5 to 24 years in China to the second while road injuries became the one which caused the most death among them, and self-harm was the third leading cause of injury death. The top three causes of injury death in each subgroup were basically the same as the overall, but the order was different in each subgroup. Age-period-cohort analysis showed that the death risk of road injuries, drowning, and self-harm all decreased with period and cohort. Aside from that, the death risk of road injuries showed a U-shape trend, which decreased at first but increased soon afterwards, with the increase of age, while the death risk of drowning decreased with age and the death risk of self-harm increased with age. CONCLUSION In China, the injuries mortality among children and adolescents aged 5 to 24 years has decreased over the last three decades. However, specific cause-related injury deaths, manifested differently in different sub-groups. Targeted policies and intervention should be proposed to reduce the mortality of children and adolescents in accordance with the characteristics of injuries death in different genders and age groups.
Adolescent ; Asians ; Cause of Death ; Child ; China/epidemiology* ; Drowning ; Female ; Global Burden of Disease ; Humans ; Infant ; Male ; Wounds and Injuries

The existence of garbage codes in death cause surveillance data sets could influence the accuracy of the death cause statistics, and subsequently affect the precision and effectiveness of public health policy making. International and domestic researchers have studied the characteristics of garbage codes in various death cause data sets from different countries or regions in the world. They proposed several approaches for redistributing garbage codes, such as expert consultancy, fixed proportional reassignment, using the information about death cause chain, building statistical models, and so on. This paper summarizes and compares the principles, applications and limitation of application scenarios of currently common methods for garbage code redistribution in order to provide some references for improving the accuracy and usefulness of the death cause data in China.
Causality ; Cause of Death ; Data Collection ; Humans ; Models, Statistical ; Public Policy

OBJECTIVES: To provide reference basis for reducing the mortality for children under 5 years old and promote the healthy development, the mortality for children under 5 years old and the main causes for death in Liuyang City from 2013 to 2020 are analyzed. METHODS: The data of 725 cases of death for children under 5 years old in Liuyang City from 2013 to 2020 were collected.The causes and difference of death among the children were analyzed retrospectively by descriptive statistic methods. RESULTS: There were a total of 144 516 live births in Liuyang City from 2013 to 2020. The mortality for children under 5 years old was 5.01‰, for infants was 3.39‰, and for newborns was 1.63‰. The male child mortality was 5.28‰, and the female child mortality rate was 4.72‰, with significant difference (P>0.05). The mortality for children under 5 years old was seasonal fluctuation, without significant difference among seasons (P>0.05). For the past 5 years, the top 3 causes for death among children under 5 years old were preterm birth and low birth weight, congenital heart disease, and pneumonia. Before death, 341 cases (47.04%) were treated in provincial hospitals, 198 cases (27.31%) in county-level hospitals, 56 cases (7.72%) in village-level hospitals, and 130 cases (17.93%) were not treated. CONCLUSIONS The mortality for children under 5 years old in Liuyang City is gradually reduced in the past 5 years. The main causes for death are premature birth and low birth weight, congenital heart disease and pneumonia. We should develop healthy education, improve the rate of prenatal diagnosis, promote the construction of obstetrics and paediatrics, and fundamentally reduce the mortality for children under 5 years old.
Cause of Death ; Child ; Child Mortality ; Child, Preschool ; Female ; Heart Defects, Congenital ; Humans ; Infant ; Infant Mortality ; Infant, Newborn ; Male ; Pneumonia/epidemiology* ; Pregnancy ; Premature Birth ; Retrospective Studies

Humans ; Accidents, Traffic ; Cause of Death ; Technology

BACKGROUNDS: Cardiovascular disease (CVD) remains the leading cause of deaths nationwide. However, little is understood about its temporal trend and corresponding influence on longevity improvements. We aimed to describe the updated tendency in CVD mortality and to quantify its impact on life expectancy (LE) increase in China. METHODS: All-cause mortality rates were calculated with population sizes from the National Bureau of Statistics and death counts from the National Health Commission. We estimated CVD mortality rates by allocating age- and sex-based mortality envelopes to each CVD subtype based on its proportion derived from the Disease Surveillance Points system. The probability of CVD premature deaths and LE were calculated with life tables and we adopted Arriaga's method to quantitate age- and cause-specific contributions to LE gains. RESULTS: During 2013 to 2018, the age-standardized mortality rate of CVD decreased from 289.69 (95% confidence interval [CI]: 289.03, 290.35)/100,000 to 272.37 (95%CI: 271.81, 272.94)/100,000, along with a decline in probability of CVD premature deaths from 9.05% (95%CI: 9.02%, 9.09%) to 8.13% (95%CI: 8.10%, 8.16%). The gap in CVD mortality across sexes expanded with more remarkable declines in females, especially for those aged 15 to 64 years. Among major subtypes, the probability of premature deaths from hemorrhage stroke declined fastest, while improvements of ischemic stroke and ischemic heart disease were limited, and there was an increase in stroke sequelae. LE in China reached 77.04 (95%CI: 76.96, 77.12) years in 2018 with an increase of 1.38 years from 2013. Of the total LE gains, 21.15% (0.29 years) were attributed to reductions of CVD mortality in the overall population, mostly driven by those aged >65 years. CONCLUSIONS The general process in reducing CVD mortality has contributed to longevity improvements in China. More attention should be paid to prevention and control of atherosclerotic CVD and stroke sequelae, especially for the elderly. Working-age males also deserve additional attention due to inadequate improvements.
Aged ; Male ; Female ; Humans ; Cardiovascular Diseases ; Life Expectancy ; China/epidemiology* ; Disease Progression ; Stroke ; Cause of Death

Objective This study aimed to determine the association of hyperlipidemia with clinical endpoints among hospitalized patients with COVID-19, especially those with pre-existing cardiovascular diseases (CVDs) and diabetes. Methods This multicenter retrospective cohort study included all patients who were hospitalized due to COVID-19 from 21 hospitals in Hubei province, China between December 31, 2019 and April 21, 2020. Patients who were aged < 18 or ≥ 85 years old, in pregnancy, with acute lethal organ injury (e.g., acute myocardial infarction, severe acute pancreatitis, acute stroke), hypothyroidism, malignant diseases, severe malnutrition, and those with normal lipid profile under lipid-lowering medicines (e.g., statin, niacin, fenofibrate, gemfibrozil, and ezetimibe) were excluded. Propensity score matching (PSM) analysis at 1:1 ratio was performed to minimize baseline differences between patient groups of hyperlipidemia and non-hyperlipidemia. PSM analyses with the same strategies were further conducted for the parameters of hyperlipidemia in patients with increased triglyceride (TG), increased low-density lipoprotein cholesterol (LDL-C), and decreased high-density lipoprotein cholesterol (HDL-C). Mixed-effect Cox model analysis was performed to investigate the associations of the 28-days all-cause deaths of COVID-19 patients with hyperlipidemia and the abnormalities of lipid parameters. The results were verified in male, female patients, and in patients with pre-existing CVDs and type 2 diabetes. Results Of 10 945 inpatients confirmed as COVID-19, there were 9822 inpatients included in the study, comprising 3513 (35.8%) cases without hyperlipidemia and 6309 (64.2%) cases with hyperlipidemia. Based on a mixed-effect Cox model after PSM at 1:1 ratio, hyperlipidemia was not associated with increased or decreased 28-day all-cause death [adjusted hazard ratio (
Adult ; Aged ; Aged, 80 and over ; COVID-19/therapy* ; Cardiovascular Diseases/complications* ; Case-Control Studies ; Cause of Death ; China/epidemiology* ; Diabetes Mellitus, Type 2/complications* ; Female ; Hospitalization ; Humans ; Hyperlipidemias/complications* ; Male ; Middle Aged ; Propensity Score ; Proportional Hazards Models ; Retrospective Studies ; Risk Factors

BACKGROUND: Whether there is an association between serum uric acid (SUA) level and risk of mortality in the general population remains unclear. Based on the China National Survey of Chronic Kidney Disease linked to mortality data, a population-based cohort study was performed to investigate the association between SUA level and all-cause mortality, cardiovascular disease (CVD) mortality, and cancer mortality in China. METHODS: The survival status of participants in the cross-sectional survey was identified from January 1, 2006 to December 31, 2017. Only 33,268 individuals with complete SUA data among the 47,204 participants were included in the analysis. We determined the rates of all-cause mortality, CVD mortality, and cancer mortality. We used Cox proportional hazards regression models to evaluate the effect of the SUA level on mortality. RESULTS: During a total of 297,538.4 person-years of follow-up, 1282 deaths occurred. In the Cox proportional hazards regression model, the rate of all-cause mortality, CVD mortality, and cancer mortality had a U-shaped association with SUA levels only in men, whereas no significant associations were detected in women. For all-cause mortality in men, the multivariable-adjusted hazard ratios (HRs) in the first, second, and fourth quartiles compared with the third quartile were 1.31 (95% confidence interval [CI] 1.04-1.67), 1.17 (95% CI 0.92-1.47), and 1.55 (95% CI 1.24-1.93), respectively. For CVD mortality, the corresponding HRs were 1.47 (95% CI 1.00-2.18), 1.17 (95% CI 0.79-1.75), and 1.67 (95% CI 1.16-2.43), respectively. For the cancer mortality rate, only a marginally significant association was detected in the fourth quartile compared with the third quartile with an HR of 1.43 (95% CI 0.99-2.08). CONCLUSIONS The association between SUA and mortality differed by sex. We demonstrated a U-shaped association with SUA levels for all-cause and CVD mortalities among men in China.
Cause of Death ; China/epidemiology* ; Cohort Studies ; Cross-Sectional Studies ; Female ; Humans ; Male ; Proportional Hazards Models ; Risk Factors ; Uric Acid