血浆水 T2 随生活方式改变而改善:线性混合效应模型的新预测

IF 4.3 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
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引用次数: 0

摘要

治疗领域新型生物标志物背景血浆和血清水 T2 是代谢健康的全球标志物。在 PREMIER 随机对照试验的一项辅助研究中,我们测量了 4578 份生物库血浆和血清样本的 T2 值。母研究招募了 810 名参与者,并将他们随机分为 3 个治疗组:纯建议组(TX1)、综合生活方式干预组(TX2)和综合加 DASH:高血压饮食防治法组(TX3)。在干预后的 0 个月(基线)、6 个月和 18 个月测量健康和体能。在此,我们开发了新的线性混合效应模型来评估血浆水 T2 反应,以进行生物标记物验证。这些模型结合了重复测量研究设计的适当调整,以尽量减少混杂和偏差。假设方法使用 Stata 18.0 进行线性混合效应建模。结果模型 1 将基线血浆水 T2、访问(月)和治疗组作为固定效应。嵌套在队列中的受试者 ID 为随机效应。18 个月后,TX1 的血浆水 T2 增加了 25.3 毫秒(p=0.0240),TX2 增加了 12.1 毫秒(p=0.2815),TX3 增加了 23.5 毫秒(p=0.0362)。模型 2 纳入了其他协变量:基线血浆水 T2、基线低密度脂蛋白、血浆总蛋白、空腹胰岛素、体能、体重指数与种族的交互作用、就诊时间(月)、治疗组,以及就诊时间(月)与amp;治疗之间的交互作用作为固定效应。受试者 ID 嵌套在队列中,随时间变化,作为模型 2 的随机效应。18 个月后,血浆水 T2 在 TX1 中增加了 35.2 毫秒(p=0.0003),在 TX2 中增加了 27.8 毫秒(p=0.0049),在 TX3 中增加了 30.0 毫秒(p=0.0028)。6 个月后观察到类似但较小的增长:TX1 为 17.0 毫秒(p=0.0142),TX2 为 14.3 毫秒(p=0.0459),TX3 为 15.3 毫秒(p=0.0364)。图 1 中绘制了模型 2 的时间轨迹。结论模型 2 表明,在 6 个月和 18 个月后,每个治疗组的血浆水 T2 都有大幅增加(改善)。这些结果验证了血浆水 T2 是一种实用的生物标志物,可用于监测生活方式改变后心脏代谢健康的总体改善情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PLASMA WATER T2 IMPROVES WITH LIFESTYLE MODIFICATION: NEW PREDICTIONS FROM LINEAR MIXED EFFECTS MODELS

Therapeutic Area

Novel Biomarkers

Background

Plasma and serum water T2 are global markers of metabolic health. In an ancillary study of the PREMIER randomized controlled trial, we measured T2 values for 4,578 biobanked plasma and serum samples. The parent study recruited and randomized 810 participants into 3 treatment arms: advice-only (TX1), comprehensive lifestyle intervention (TX2), and comprehensive plus DASH: dietary approaches to stop hypertension (TX3). Health and fitness were measured at 0 (baseline), 6- and 18-months post-intervention. Here, we developed new linear mixed effects models to assess the plasma water T2 response for biomarker validation. The models incorporate adjustments appropriate for a repeated measures study design to minimize confounding and bias. Hypothesis: Plasma water T2 increases (improves) in response to the PREMIER lifestyle interventions.

Methods

Linear mixed-effects modeling was performed using Stata 18.0. The primary outcome was change from baseline in plasma water T2 at 18 months for each treatment arm, evaluated using pairwise marginal comparisons.

Results

Model 1 incorporated baseline plasma water T2, visit (months), and treatment group as fixed effects. Subject ID nested into cohort were random effects. After 18 months, plasma water T2 increased by 25.3 msec in TX1 (p=0.0240), 12.1 msec in TX2 (p=0.2815), and 23.5 msec in TX3 (p=0.0362). Model 2 incorporated additional covariates: baseline plasma water T2, baseline LDL, plasma total protein, fasting insulin, fitness, BMI-Race interaction, visit (months), treatment group, and the interaction between visit in months & treatment as fixed effects. Subject ID nested into cohort, varying by time, served as random effects for Model 2. After 18 months, plasma water T2 increased by 35.2 msec in TX1 (p=0.0003), 27.8 msec in TX2 (p=0.0049), and 30.0 msec in TX3 (p=0.0028). Similar but smaller increases were observed after 6 months: 17.0 msec in TX1 (p=0.0142), 14.3 msec in TX2 (p=0.0459) and 15.3 msec in TX3 (p=0.0364). The time trajectories for Model 2 are plotted in Figure 1.

Conclusions

Model 2 demonstrated substantial increases (improvements) in plasma water T2 after 6 and 18 months for each treatment group. These results validate plasma water T2 as a practical biomarker for monitoring global improvement in cardiometabolic health following lifestyle modification.
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来源期刊
American journal of preventive cardiology
American journal of preventive cardiology Cardiology and Cardiovascular Medicine
CiteScore
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审稿时长
76 days
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