使用先进的统计技术预测收缩压干预试验中的全因死亡率

William J. Kostis , Javier Cabrera , Chun Pang Lin , John B. Kostis , Jennifer Wellings , Stavros Zinonos , Jeanne M. Dobrzynski , Daniel Blickstein
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引用次数: 0

摘要

收缩压干预试验(SPRINT)在高血压和心血管疾病附加风险患者中进行,这些患者随机分为收缩压(SBP)低于120毫米汞柱的强化血压组和目标低于140毫米汞柱的标准组。无论最初随机分配到强化组还是标准组(图1中的阴影区域),治疗3个月时年龄相同(±2岁),收缩压相同(±3毫米汞柱)。方法和结果在3.26年的随访期间,强化组参与者的收缩压降低了14.8毫米汞柱,平均接受了一种降压药(2.8比1.8)。这与强化治疗组较低的全因死亡率相关(风险比,0.73;95% CI, 0.60 ~ 0.90, p = 0.003)。对收缩压的影响在3个月时达到,此后保持不变。本文解决了两个问题,关于在匹配集SPRINT的全因死亡率。1)服用一种以上药物对全因死亡率有何影响?与药物数量相关的全因死亡率的条件logistic回归显示,在3.26年的随访期间,服用一种以上药物的患者比服用一种药物的患者更容易死亡(系数= 0.5039,OR = 1.6552, p = 0.0322)。2)收缩压治疗与全因死亡率之间是否存在U型曲线关系?收缩压与全因死亡呈U型曲线拟合。这在未调整分析中随机分配到标准目标组的患者中以及在人口统计学或所有协变量调整的分析中都可以看到(p <0.001)。联合治疗组和强化治疗组的U型曲线不明显。在3.26年的随访中,性别、年龄和3个月时收缩压匹配且接受一种以上药物治疗的sprint参与者的全因死亡率较高。那些被随机分配到标准治疗目标的患者在3个月时收缩压与全因死亡率之间存在U曲线关系。联合治疗组和强化治疗组的U型曲线不明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Use of advanced statistical techniques to predict all-cause mortality in the Systolic Blood Pressure Intervention Trial

Background

The Systolic Blood Pressure Intervention Trial (SPRINT) was conducted in patients with hypertension and additional risk for cardiovascular disease who were randomized to the intensive blood pressure group targeting systolic blood pressure (SBP) less than 120 mm Hg and to the standard group where the target was less than 140 mm Hg. Analyses were done in the matched group of participants with the same gender, same age (±2 years) and same SBP (±3 mm Hg) at three months of treatment regardless of initial randomization to intensive or standard group (shaded area in Figure 1).

Methods and results

During 3.26 years of follow-up, intensive group participants had 14.8 mm Hg lower SBP and received on average one more (2.8 vs. 1.8) blood pressure lowering medications. This was associated with lower all-cause mortality in the intensive treatment group (hazard ratio, 0.73; 95% CI, 0.60 to 0.90, p = 0.003). The effect on SBP was achieved at 3 months and remained unchanged thereafter. This paper addresses two questions with respect to all-cause mortality in SPRINT in the matched set. 1) What is the effect of receiving more than one drug on all-cause mortality. Conditional logistic regression for all-cause mortality with respect to number of drugs indicated that during the 3.26 years of follow-up persons who received more than one drug were more likely to die (coefficient = 0.5039, OR = 1.6552, p = 0.0322) than patients who received one drug. 2) Was there a U curve relationship between on treatment SBP and all-cause mortality? A U curve fitting a quadratic equation (parabola) of SBP and all-cause death was observed. This was seen in the patients randomized to the standard target group in unadjusted analyses as well as in analyses adjusted for demographics or all covariates (p < 0.001 for all). The U curves in the combined group and the intensive treatment group were less pronounced.

Conclusion

SPRINT participants who were matched for gender, age, and SBP at 3 months, and received more than one drug had higher all-cause mortality during the 3.26 years of follow-up. Those who were randomized to standard treatment target had a U curve relationship between SBP at three months and all-cause mortality. The U curves in the combined group and the intensive treatment group were less pronounced.

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来源期刊
International Journal of Cardiology: Hypertension
International Journal of Cardiology: Hypertension Medicine-Cardiology and Cardiovascular Medicine
CiteScore
0.40
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0.00%
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0
审稿时长
13 weeks
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