Imperial Clinical Trials Unit, Imperial College London, London, United Kingdom.
PLoS One. 2010 Jul 26;5(7):e11775. doi: 10.1371/journal.pone.0011775.
Although, on average, cognition declines with age, cognition in older adults is a dynamic process. Hypertension is associated with greater decline in cognition with age, but whether treatment of hypertension affects this is uncertain. Here, we modelled dynamics of cognition in relation to the treatment of hypertension, to see if treatment effects might better be discerned by a model that included baseline measures of cognition and consequent mortality
METHODOLOGY/PRINCIPAL FINDINGS: This is a secondary analysis of the Hypertension in the Very Elderly Trial (HYVET), a double blind, placebo controlled trial of indapamide, with or without perindopril, in people aged 80+ years at enrollment. Cognitive states were defined in relation to errors on the Mini-Mental State Examination, with more errors signifying worse cognition. Change in cognitive state was evaluated using a dynamic model of cognitive transition. In the model, the probabilities of transitions between cognitive states is represented by a Poisson distribution, with the Poisson mean dependent on the baseline cognitive state. The dynamic model of cognitive transition was good (R(2) = 0.74) both for those on placebo and (0.86) for those on active treatment. The probability of maintaining cognitive function, based on baseline function, was slightly higher in the actively treated group (e.g., for those with the fewest baseline errors, the chance of staying in that state was 63% for those on treatment, compared with 60% for those on placebo). Outcomes at two and four years could be predicted based on the initial state and treatment.
CONCLUSIONS/SIGNIFICANCE: A dynamic model of cognition that allows all outcomes (cognitive worsening, stability improvement or death) to be categorized simultaneously detected small but consistent differences between treatment and control groups (in favour of treatment) amongst very elderly people treated for hypertension. The model showed good fit, and suggests that most change in cognition in very elderly people is small, and depends on their baseline state and on treatment. Additional work is needed to understand whether this modelling approach is well suited to the valuation of small effects, especially in the face of mortality differences between treatment groups.
ClinicalTrials.gov NCT0012281.
尽管认知能力通常会随着年龄的增长而下降,但老年人的认知能力是一个动态的过程。高血压与年龄相关的认知能力下降有关,但治疗高血压是否会影响这一点尚不确定。在这里,我们建立了认知与高血压治疗关系的动态模型,以观察是否通过包括认知基线测量和随后的死亡率在内的模型,能够更好地发现治疗效果。
方法/主要发现:这是高血压老年人试验(HYVET)的二次分析,这是一项针对 80 岁及以上人群的吲达帕胺联合或不联合培哚普利的双盲、安慰剂对照试验。认知状态与简易精神状态检查(MMSE)的错误相关,错误越多表示认知越差。使用认知状态的动态模型评估认知状态的变化。在该模型中,认知状态之间的转移概率由泊松分布表示,泊松平均值取决于基线认知状态。该认知状态的动态模型对安慰剂组(R²=0.74)和活性治疗组(R²=0.86)都很好。基于基线功能,主动治疗组保持认知功能的可能性略高(例如,对于基线错误最少的人,处于该状态的机会在治疗组中为 63%,而在安慰剂组中为 60%)。根据初始状态和治疗,可预测两年和四年的结果。
结论/意义:一种允许所有结果(认知恶化、稳定性改善或死亡)同时分类的认知动态模型,在接受高血压治疗的非常老年人群中,检测到治疗和对照组之间(治疗组有利)的微小但一致的差异。该模型拟合良好,表明在非常老年人群中,认知的大部分变化都很小,并且取决于他们的基线状态和治疗。需要进一步研究以了解这种建模方法是否非常适合评估小效应,特别是在治疗组之间存在死亡率差异的情况下。
ClinicalTrials.gov NCT0012281。