School of Biological and Population Health Sciences, Oregon State University, Corvallis.
Department of Epidemiology and Public Health, University College London, London, United Kingdom.
JAMA Netw Open. 2019 Jul 3;2(7):e198024. doi: 10.1001/jamanetworkopen.2019.8024.
In etiological research, investigators using death certificate data have traditionally extracted underlying cause of mortality alone. With multimorbidity being increasingly common, more than one condition is often compatible with the manner of death. Using contributory cause plus underlying cause would also have some analytical advantages, but their combined utility is largely untested.
To compare the relative utility of cause of death data extracted from the underlying cause field vs any location on the death certificate (underlying and contributing combined).
DESIGN, SETTING, AND PARTICIPANTS: This study compares the association of 3 known risk factors (cigarette smoking, low educational attainment, and hypertension) with health outcomes based on where cause of death data appears on the death certificate in 2 prospective cohort study collaborations (UK Biobank [N = 502 655] and the Health Survey for England [15 studies] and the Scottish Health Surveys [3 studies] [HSE-SHS; N = 193 873]). Data were collected in UK Biobank from March 2006 to October 2010 and in HSE-SHS from January 1994 to December 2008. Data analysis began in June 2018 and concluded in June 2019.
Death from cardiovascular disease, cancer, dementia, and injury. For each risk factor-mortality end point combination, a ratio of hazard ratios (RHR) was computed by dividing the effect estimate for the underlying cause by the effect estimate for any mention.
In UK Biobank, there were 14 421 deaths (2.9%) during a mean (SD) of 6.99 (1.03) years of follow up; in HSE-SHS, there were 21 314 deaths (11.0%) during a mean (SD) of 9.61 (4.44) years of mortality surveillance. Established associations of risk factors with death outcomes were essentially the same irrespective of placement of cause on the death certificate. Results from each study were mutually supportive. For having ever smoked cigarettes (vs never having smoked) in the UK Biobank, the RHR for cardiovascular disease was 0.98 (95% CI, 0.87-1.10; P value for difference = .69); for cancer, the RHR was 0.99 (95% CI, 0.93-1.05; P value for difference = .69). In the HSE-SHS, the RHR for cardiovascular disease was 0.94 (95% CI, 0.87-1.01; P value for difference = .09); for cancer, it was 1.01 (95% CI, 0.94-1.10; P value for difference = .75).
Risk factor-end point associations were not sensitive to the placement of data on the death certificate. This has implications for the examination of the association of risk factors with causes of death where there may be too few events to compute reliable effect estimates based on the underlying field alone.
在病因研究中,传统上,研究人员仅使用死亡证明数据提取根本死因。随着共病的日益普遍,超过一种疾病通常与死亡方式相符合。使用促成原因加根本原因也会有一些分析优势,但它们的综合效用在很大程度上尚未得到检验。
比较从根本原因字段中提取的死因数据与死亡证明上任何位置(根本原因和促成原因相结合)的死因数据的相对效用。
设计、地点和参与者:本研究比较了 3 种已知风险因素(吸烟、低教育程度和高血压)与基于 2 项前瞻性队列研究合作(英国生物库[N=502655]和英格兰健康调查[15 项研究]和苏格兰健康调查[3 项研究][HSE-SHS;N=193873])中死亡证明上出现的死因数据的健康结局之间的关联。英国生物库的数据收集于 2006 年 3 月至 2010 年 10 月,HSE-SHS 数据收集于 1994 年 1 月至 2008 年 12 月。数据分析始于 2018 年 6 月,于 2019 年 6 月结束。
心血管疾病、癌症、痴呆和伤害导致的死亡。对于每个风险因素-死亡率终点组合,通过将根本原因的效应估计值除以任何提及的效应估计值来计算危险比(RHR)。
在英国生物库中,在平均(SD)6.99(1.03)年的随访期间,有 14421 人(2.9%)死亡;在 HSE-SHS 中,在平均(SD)9.61(4.44)年的死亡率监测期间,有 21314 人(11.0%)死亡。风险因素与死亡结局的既定关联基本相同,无论死因在死亡证明上的位置如何。每个研究的结果都相互支持。在英国生物库中,与从不吸烟(从不吸烟)相比,有过吸烟史的人患心血管疾病的 RHR 为 0.98(95%CI,0.87-1.10;差异 P 值=0.69);对于癌症,RHR 为 0.99(95%CI,0.93-1.05;差异 P 值=0.69)。在 HSE-SHS 中,心血管疾病的 RHR 为 0.94(95%CI,0.87-1.01;差异 P 值=0.09);对于癌症,RHR 为 1.01(95%CI,0.94-1.01;差异 P 值=0.75)。
风险因素-终点关联不受数据在死亡证明上位置的影响。这对基于根本字段单独计算可靠效应估计值的风险因素与死因之间的关联的检验具有重要意义,因为可能存在太少的事件来计算可靠的效应估计值。