Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Research on electric vehicle charging safety warning model based on back propagation neural network optimized by improved gray wolf algorithm

New energy vehicles have become a global transportation development trend in order to achieve considerable fuel consumption and carbon emission reductions. However, as the number of new energy cars grows, new energy vehicle safety concerns are becoming more evident, posing a major threat to drivers' lives and property and limiting the industry's growth. This paper develops a charging safety early warning model for electric vehicles (EV) based on the Improved Grey Wolf Optimization (IGWO) algorithm in order to improve the timeliness and accuracy of charging safety early warning. The greatest voltage of a single battery was chosen as the study goal based on the polarization characteristics of lithium-ion batteries and the equalization features of a vehicle lithium-ion battery pack. The IGWO-BP algorithm is then used to fit the entire EV charging process and anticipate the vehicle's charging condition. At the same time, set the warning threshold and the warning error code. In real time, comparing the EV charging data with the fitted data, computing the residual, and building the EV charging safety warning model based on the residual change. Finally, case analysis is performed using daily charging data from both rapid and slow charging. The findings reveal that the proposed early warning model based on the IGWO-BP algorithm can reliably recognize the abnormal state of EV charging voltage and issue timely warnings.This research was supported in part by the International Science and Technology Cooperation Project of Jilin Province Science and Technology Department, grant number 20210402080GH, the author hereby expresses his gratitude to the above-mentioned institution for their support

An updated meta-analysis on the clinical outcomes of percutaneous left atrial appendage closure versus direct oral anticoagulation in patients with atrial fibrillation

The availability of direct oral anticoagulants (DOACs) with known lower bleeding risk compared with warfarin have raised questions about the role of left atrial appendage closure (LAAC). We aimed to perform a meta-analysis to compare the clinical outcomes for LAAC versus DOACs. All studies directly comparing LAAC with DOACs up to January 2023 were included. The outcomes studied included the combined major adverse cardiovascular (CV) events outcomes, ischemic stroke and thromboembolic events, major bleeding, CV mortality, and all-cause mortality. Hazard ratios (HRs) and their 95% confidence interval were extracted or estimated from the data and pooled together with a random-effects model. A total of 7 studies (1 randomized controlled trial, 6 propensity-matched observational studies) were finally included, with a pooled population of 4,383 patients who underwent LAAC and 4,554 patients on DOACs. There were no significant differences between patients who underwent LAAC and patients on DOACs in terms of baseline age (75.0 vs 74.7, p = 0.27), CHA2DS2-VASc score (5.1 vs 5.1, p = 0.33), or HAS-BLED score (3.3 vs 3.3, p = 0.36). After a mean weighted follow-up of 22.0 months, LAAC was associated with significantly lower rates of combined major adverse CV event outcomes (HR 0.73 [0.56 to 0.95], p = 0.02), all-cause mortality (HR 0.68 [0.54 to 0.86], p = 0.02), and CV mortality (HR 0.55 [0.41 to 0.72], p<0.01). There were no significant differences in the rates of ischemic stroke or systemic embolism (HR 1.12 [0.92 to 1.35], p = 0.25), major bleeding (HR 0.94 [0.67 to 1.32], p = 0.71), or hemorrhagic stroke (HR 1.07 [0.74 to 1.54], p = 0.74) between LAAC and DOAC. In conclusion, percutaneous LAAC was found to be as efficacious as DOACs for stroke prevention, with lower all-cause and CV mortality. The rates of major bleeding and hemorrhagic stroke were similar. LAAC has a potential role to play in stroke prevention in patients with atrial fibrillation in the era of DOACs, but further randomized data are needed

The SYNERGY II Everolimus elutiNg stent In patients Older than 75 years undergoing coronary Revascularisation associated with a short dual antiplatelet therapy (SENIOR) trial: rationale and design of a large-scale randomised multicentre study

International audienceAims: In the elderly population, bare metal stents (BMS) are often preferred over drug-eluting stents (DES) because of the longer duration of dual antiplatelet therapy (DAPT) associated with the latter. The SENIOR trial is designed to determine whether one of the latest generation of DES can reduce major cardiovascular events compared to BMS, despite a similar short DAPT duration.Methods and results: The SENIOR trial is a multicentre, single-blind, prospective, randomised trial comparing the latest generation DES (SYNERGY™ II; Boston Scientific, Marlborough, MA, USA) to BMS (Rebel™; Boston Scientific) in 1,200 patients ≥75 years old. DAPT will be given for one or six months according to clinical presentation, irrespective of stent type. The primary outcome is the composite of all-cause mortality, non-fatal myocardial infarction, stroke or ischaemia-driven target lesion revascularisation at one year. Secondary endpoints include the rate of major bleedings and the rate of stent thrombosis at one year.Conclusions: This trial is designed to evaluate a new revascularisation strategy combining DES and short duration DAPT in elderly patients. It has the potential to decrease the need for target lesion revascularisation without a significant DAPT-related increase in bleeding compared to BMS

The SYNERGY II Everolimus elutiNg stent In patients Older than 75 years undergoing coronary Revascularisation associated with a short dual antiplatelet therapy (SENIOR) trial: rationale and design of a large-scale randomised multicentre study

In the elderly population, bare metal stents (BMS) are often preferred over drug-eluting stents (DES) because of the longer duration of dual antiplatelet therapy (DAPT) associated with the latter. The SENIOR trial is designed to determine whether one of the latest generation of DES can reduce major cardiovascular events compared to BMS, despite a similar short DAPT duration.status: publishe