School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia (J T Neumann MD, L T P Thao PhD, E Callander PhD, P R Carr PhD, V Qaderi, Prof M R Nelson PhD, Prof C M Reid PhD, R L Woods PhD, S G Orchard PhD, Prof R Wolfe PhD, G Polekhina PhD, J M Trauer PhD, Prof A M Tonkin MD, Prof J J McNeil PhD); Department of Cardiology, University Heart and Vascular Centre Hamburg, Hamburg, Germany (J T Neumann, V Qaderi); German Centre for Cardiovascular Research, Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany (J T Neumann); Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia (Prof M R Nelson); Curtin School of Population Health, Curtin University, Perth, WA, Australia (Prof C M Reid); Sticht Center on Healthy Aging and Alzheimer's Prevention, Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, NC, USA (Prof J D Williamson MD); Centre for Aging and Population Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA (Prof A B Newman MD); Division of Geriatrics, Department of Medicine (Prof A M Murray MD) and Berman Centre for Outcomes and Clinical Research, Hennepin Healthcare Research Institute (Prof A M Murray), Hennepin Healthcare, Minneapolis, MN, USA; Department of Pharmacy Practice and Science, College of Pharmacy (Prof M E Ernst PharmD) and Department of Family Medicine, Carver College of Medicine (Prof M E Ernst), University of Iowa, Iowa City, IA, USA.
Lancet Healthy Longev. 2022 Feb;3(2):e89-e97. doi: 10.1016/s2666-7568(21)00308-1. Epub 2022 Feb 7.
Understanding the nature of transitions from a healthy state to chronic diseases and death is important for planning health-care system requirements and interventions. We aimed to quantify the trajectories of disease and disability in a population of healthy older people.
We conducted a secondary analysis of data from the ASPREE trial, which was done in 50 sites in Australia and the USA and recruited community-dwelling, healthy individuals who were aged 70 years or older (≥65 years for Black and Hispanic people in the USA) between March 10, 2010, and Dec 24, 2014. Participants were followed up with annual face-to-face visits, biennial assessments of cognitive function, and biannual visits for physical function until death or June 12, 2017, whichever occurred first. We used multistate models to examine transitions from a healthy state to first intermediate disease events (ie, cancer events, stroke events, cardiac events, and physical disability or dementia) and, ultimately, to death. We also examined the effects of age and sex on transition rates using Cox proportional hazards regression models.
19 114 participants with a median age of 74·0 years (IQR 71·6-77·7) were included in our analyses. During a median follow-up of 4·7 years (IQR 3·6-5·7), 1933 (10·1%) of 19 114 participants had an incident cancer event, 487 (2·5%) had an incident cardiac event, 398 (2·1%) had an incident stroke event, 924 (4·8%) developed persistent physical disability or dementia, and 1052 (5·5%) died. 15 398 (80·6%) individuals did not have any of these events during follow-up. The highest proportion of deaths followed incident cancer (501 [47·6%] of 1052) and 129 (12·3%) participants transitioned from disability or dementia to death. Among 12 postulated transitions, transitions from the intermediate states to death had much higher rates than transitions from a healthy state to death. The progression rates to death were 158 events per 1000 person-years (95% CI 144-172) from cancer, 112 events per 1000 person-years (86-145) from stroke, 88 events per 1000 person-years (68-111) from cardiac disease, 69 events per 1000 person-years (58-82) from disability or dementia, and four events per 1000 person-years (4-5) from a healthy state. Age was significantly associated with an accelerated rate for most transitions. Male sex ( female sex) was significantly associated with an accelerate rate for five of 12 transitions.
We describe a multistate model in a healthy older population in whom the most common transition was from a healthy state to cancer. Our findings provide unique insights into the frequency of events, their transition rates, and the impact of age and sex. These results have implications for preventive health interventions and planning for appropriate levels of residential care in healthy ageing populations.
The National Institutes of Health.
了解从健康状态到慢性疾病和死亡的转变性质对于规划医疗保健系统需求和干预措施非常重要。我们旨在量化健康老年人人群中疾病和残疾的轨迹。
我们对 ASPREE 试验的数据进行了二次分析,该试验在澳大利亚和美国的 50 个地点进行,招募了年龄在 70 岁或以上的社区居住的健康个体(美国的黑人或西班牙裔人年龄≥65 岁),时间为 2010 年 3 月 10 日至 2014 年 12 月 24 日。参与者每年进行一次面对面随访,每两年进行一次认知功能评估,每两年进行一次身体功能评估,直至死亡或 2017 年 6 月 12 日,以先发生者为准。我们使用多状态模型来检查从健康状态到首次中间疾病事件(即癌症事件、中风事件、心脏事件和身体残疾或痴呆)的转变,最终转变为死亡。我们还使用 Cox 比例风险回归模型检查年龄和性别对转移率的影响。
我们的分析纳入了 19114 名中位年龄为 74.0 岁(IQR 71.6-77.7)的参与者。在中位随访 4.7 年(IQR 3.6-5.7)期间,19114 名参与者中有 1933 名(10.1%)发生了癌症事件,487 名(2.5%)发生了心脏事件,398 名(2.1%)发生了中风事件,924 名(4.8%)发生了持续性身体残疾或痴呆,1052 名(5.5%)死亡。在随访期间,15398 名(80.6%)参与者没有发生这些事件。死亡人数最多的是癌症(501[47.6%]例 1052 例),129 例(12.3%)参与者从残疾或痴呆转变为死亡。在 12 个假设的转变中,从中间状态向死亡的转变率远高于从健康状态向死亡的转变率。死亡的进展率为每 1000 人年 158 例(95%CI 144-172)的癌症,112 例(86-145)的中风,88 例(68-111)的心脏病,69 例(58-82)的残疾或痴呆,以及每 1000 人年 4 例(4-5)的健康状态。年龄与大多数转变的加速率显著相关。男性(女性)与 12 个转变中的五个显著相关。
我们在健康老年人中描述了一种多状态模型,在该模型中,最常见的转变是从健康状态到癌症。我们的研究结果提供了有关事件频率、转移率以及年龄和性别的影响的独特见解。这些结果对预防保健干预措施和为健康老龄化人群规划适当的居住护理水平具有重要意义。
美国国立卫生研究院。