全球、地区和国家按年龄、性别划分的 264 种死因的死亡率:2016 年全球疾病负担研究的系统分析。
Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016.
出版信息
Lancet. 2017 Sep 16;390(10100):1151-1210. doi: 10.1016/S0140-6736(17)32152-9.
BACKGROUND
Monitoring levels and trends in premature mortality is crucial to understanding how societies can address prominent sources of early death. The Global Burden of Disease 2016 Study (GBD 2016) provides a comprehensive assessment of cause-specific mortality for 264 causes in 195 locations from 1980 to 2016. This assessment includes evaluation of the expected epidemiological transition with changes in development and where local patterns deviate from these trends.
METHODS
We estimated cause-specific deaths and years of life lost (YLLs) by age, sex, geography, and year. YLLs were calculated from the sum of each death multiplied by the standard life expectancy at each age. We used the GBD cause of death database composed of: vital registration (VR) data corrected for under-registration and garbage coding; national and subnational verbal autopsy (VA) studies corrected for garbage coding; and other sources including surveys and surveillance systems for specific causes such as maternal mortality. To facilitate assessment of quality, we reported on the fraction of deaths assigned to GBD Level 1 or Level 2 causes that cannot be underlying causes of death (major garbage codes) by location and year. Based on completeness, garbage coding, cause list detail, and time periods covered, we provided an overall data quality rating for each location with scores ranging from 0 stars (worst) to 5 stars (best). We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to generate estimates for each location, year, age, and sex. We assessed observed and expected levels and trends of cause-specific deaths in relation to the Socio-demographic Index (SDI), a summary indicator derived from measures of average income per capita, educational attainment, and total fertility, with locations grouped into quintiles by SDI. Relative to GBD 2015, we expanded the GBD cause hierarchy by 18 causes of death for GBD 2016.
FINDINGS
The quality of available data varied by location. Data quality in 25 countries rated in the highest category (5 stars), while 48, 30, 21, and 44 countries were rated at each of the succeeding data quality levels. Vital registration or verbal autopsy data were not available in 27 countries, resulting in the assignment of a zero value for data quality. Deaths from non-communicable diseases (NCDs) represented 72·3% (95% uncertainty interval [UI] 71·2-73·2) of deaths in 2016 with 19·3% (18·5-20·4) of deaths in that year occurring from communicable, maternal, neonatal, and nutritional (CMNN) diseases and a further 8·43% (8·00-8·67) from injuries. Although age-standardised rates of death from NCDs decreased globally between 2006 and 2016, total numbers of these deaths increased; both numbers and age-standardised rates of death from CMNN causes decreased in the decade 2006-16-age-standardised rates of deaths from injuries decreased but total numbers varied little. In 2016, the three leading global causes of death in children under-5 were lower respiratory infections, neonatal preterm birth complications, and neonatal encephalopathy due to birth asphyxia and trauma, combined resulting in 1·80 million deaths (95% UI 1·59 million to 1·89 million). Between 1990 and 2016, a profound shift toward deaths at older ages occurred with a 178% (95% UI 176-181) increase in deaths in ages 90-94 years and a 210% (208-212) increase in deaths older than age 95 years. The ten leading causes by rates of age-standardised YLL significantly decreased from 2006 to 2016 (median annualised rate of change was a decrease of 2·89%); the median annualised rate of change for all other causes was lower (a decrease of 1·59%) during the same interval. Globally, the five leading causes of total YLLs in 2016 were cardiovascular diseases; diarrhoea, lower respiratory infections, and other common infectious diseases; neoplasms; neonatal disorders; and HIV/AIDS and tuberculosis. At a finer level of disaggregation within cause groupings, the ten leading causes of total YLLs in 2016 were ischaemic heart disease, cerebrovascular disease, lower respiratory infections, diarrhoeal diseases, road injuries, malaria, neonatal preterm birth complications, HIV/AIDS, chronic obstructive pulmonary disease, and neonatal encephalopathy due to birth asphyxia and trauma. Ischaemic heart disease was the leading cause of total YLLs in 113 countries for men and 97 countries for women. Comparisons of observed levels of YLLs by countries, relative to the level of YLLs expected on the basis of SDI alone, highlighted distinct regional patterns including the greater than expected level of YLLs from malaria and from HIV/AIDS across sub-Saharan Africa; diabetes mellitus, especially in Oceania; interpersonal violence, notably within Latin America and the Caribbean; and cardiomyopathy and myocarditis, particularly in eastern and central Europe. The level of YLLs from ischaemic heart disease was less than expected in 117 of 195 locations. Other leading causes of YLLs for which YLLs were notably lower than expected included neonatal preterm birth complications in many locations in both south Asia and southeast Asia, and cerebrovascular disease in western Europe.
INTERPRETATION
The past 37 years have featured declining rates of communicable, maternal, neonatal, and nutritional diseases across all quintiles of SDI, with faster than expected gains for many locations relative to their SDI. A global shift towards deaths at older ages suggests success in reducing many causes of early death. YLLs have increased globally for causes such as diabetes mellitus or some neoplasms, and in some locations for causes such as drug use disorders, and conflict and terrorism. Increasing levels of YLLs might reflect outcomes from conditions that required high levels of care but for which effective treatments remain elusive, potentially increasing costs to health systems.
FUNDING
Bill & Melinda Gates Foundation.
背景
监测过早死亡的水平和趋势对于了解社会如何应对突出的早逝原因至关重要。2016 年全球疾病负担研究(GBD 2016)提供了 195 个地点 1980 年至 2016 年 264 种死因的特定病因死亡率的综合评估。这一评估包括对发展中预期的流行病学转变的评估,以及对当地模式偏离这些趋势的评估。
方法
我们通过年龄、性别、地理位置和年份估计了特定死因的死亡人数和生命损失年数(YLL)。YLL 是通过将每个死亡人数乘以每个年龄的标准预期寿命而得出的。我们使用由以下组成的 GBD 死因数据库:死亡率登记(VR)数据,对漏报和垃圾编码进行了校正;国家和次国家的死因验证研究,对垃圾编码进行了校正;以及针对特定死因的其他来源,如孕产妇死亡率调查和监测系统。为了便于评估质量,我们按地点和年份报告了归因于 GBD 1 级或 2 级原因的死亡人数中不能作为根本死因(主要垃圾编码)的比例。根据完整性、垃圾编码、病因清单详细信息和涵盖的时间段,我们为每个地点提供了整体数据质量评分,分数范围从 0 星(最差)到 5 星(最好)。我们使用稳健的统计方法,包括死因综合模型(CODEm),为每个地点、年份、年龄和性别生成估计值。我们评估了与社会人口指数(SDI)相关的特定死因死亡的观察到的和预期的水平和趋势,SDI 是一个综合指标,由人均收入、教育程度和总生育率的衡量标准衍生而来,地理位置按 SDI 分为五组。与 2015 年相比,我们在 2016 年的 GBD 病因层次结构中增加了 18 个死因。
发现
可用数据的质量因地点而异。25 个国家被评为最高类别(5 星),而 48、30、21 和 44 个国家在每个后续的数据质量级别中被评为。在 27 个国家没有可获得的传染病或死因验证数据,因此这些国家的死因质量值为零。2016 年,非传染性疾病(NCDs)占死亡人数的 72.3%(95%不确定性区间[UI]为 71.2-73.2),当年有 19.3%(18.5-20.4)的死亡归因于传染性、孕产妇、新生儿和营养性疾病(CMNN),另有 8.43%(8.00-8.67)归因于伤害。尽管全球范围内 2006 年至 2016 年 NCD 死亡率的年龄标准化率下降,但这些死亡人数却在增加;CMNN 病因导致的死亡人数和年龄标准化率在 2006-16 年期间均有所下降,而伤害导致的死亡人数则略有变化。2016 年,5 岁以下儿童的三个主要死因是下呼吸道感染、新生儿早产并发症和出生窒息和创伤引起的新生儿脑病,导致 180 万人死亡(95% UI 为 159 万至 189 万)。1990 年至 2016 年,死亡年龄明显向高龄转移,90-94 岁年龄组的死亡人数增加了 178%(95% UI 为 176-181),95 岁以上年龄组的死亡人数增加了 210%(208-212)。按年龄标准化 YLL 率计算,前 10 位死因的变化显著减少(2006 年至 2016 年的年化变化率为 2.89%);同期所有其他死因的年化变化率较低(下降 1.59%)。全球范围内,2016 年 YLL 总量的五个主要原因是心血管疾病;腹泻、下呼吸道感染和其他常见传染病;肿瘤;新生儿疾病;以及艾滋病毒/艾滋病和结核病。在病因分组内更精细的分类水平上,2016 年 YLL 总量的前 10 个原因是缺血性心脏病、脑血管疾病、下呼吸道感染、腹泻疾病、道路伤害、疟疾、新生儿早产并发症、艾滋病毒/艾滋病、慢性阻塞性肺疾病和出生窒息和创伤引起的新生儿脑病。在 113 个国家中,缺血性心脏病是男性的主要死因,在 97 个国家中,缺血性心脏病是女性的主要死因。各国 YLL 水平的比较,相对于仅根据 SDI 预期的 YLL 水平,突出了明显的区域模式,包括撒哈拉以南非洲地区疟疾和艾滋病毒/艾滋病的 YLL 水平高于预期;大洋洲的糖尿病;拉丁美洲和加勒比地区的人际暴力;以及东欧和中欧的心肌病和心肌炎。195 个地点中有 117 个地点的缺血性心脏病导致的 YLL 水平低于预期。其他 YLL 明显低于预期的主要死因包括南亚和东南亚许多地区的新生儿早产并发症,以及西欧的脑血管疾病。
解释
过去 37 年来,所有 SDI 五分位数的传染病、孕产妇、新生儿和营养性疾病的死亡率都呈下降趋势,许多地点的进展速度快于其 SDI 水平。全球向高龄死亡的转移表明,在减少许多早逝原因方面取得了成功。由于糖尿病或某些肿瘤等原因,全球 YLL 有所增加,在某些地点,由于药物使用障碍、冲突和恐怖主义等原因,YLL 也有所增加。YLL 水平的增加可能反映了需要高水平护理但治疗方法仍难以捉摸的疾病的结果,这可能会增加卫生系统的成本。
资助
比尔和梅琳达·盖茨基金会。