Center of Biomedical Studies Applied to Sport, University of Ferrara, Italy; Public Health Department, AUSL Ferrara, Italy.
Center of Biomedical Studies Applied to Sport, University of Ferrara, Italy; Public Health Department, AUSL Ferrara, Italy.
J Sci Med Sport. 2018 Mar;21(3):307-311. doi: 10.1016/j.jsams.2017.06.003. Epub 2017 Jun 8.
To determine the prognostic ability of established percent-predicted equations of peak oxygen consumption (%PRED) estimated by a moderate submaximal walking test in a large cohort of outpatients with cardiovascular disease (CVD).
Population-based prospective study.
A total of 1442 male patients aged 25-85 years at baseline, underwent a moderate perceptually-regulated (11-13 on the 6-20 Borg scale) treadmill walk (1k-TWT) for peak oxygen consumption estimation (VO peak). %PRED was derived from ACSM, Ades et al, Morris et al, and the Wasserman/Hansen equations, and their prognostic performance was assessed. Overall mortality was the end point. Participants were divided into quartiles of %PRED, and mortality risk was estimated using a Cox regression model.
During a median 8.2year follow-up, 167 all-cause deaths occurred. The Wasserman/Hansen equation provided the highest prognostic value. Mortality rate was lower across increasing quartiles of %PRED. Compared to the first quartile, after adjustment for confounders, the mortality risk decreased for the second, third, and fourth quartiles, with HRs of 0.75 (95% CI 0.44-1.29, p=0.29), 0.67 (95% CI 0.38-1.18, p=0.17), and 0.37 (95% CI 0.10-0.78, p=0.009), respectively (p for trend <0.0001). Each 1% increase in %PRED conferred a 4% improvement in survival.
The percent-predicted VO peak determined by Wasserman/Hansen equations applied to the 1k-TWT is inversely and significantly related to survival in cardiac outpatients. The 1k-TWT is a simple and useful tool for stratifying mortality risk in patients participating in secondary prevention programs.
在心血管疾病（CVD）的大型门诊患者队列中，确定通过中度感知调节（Borg 量表 6-20 级的 11-13 级）跑步机行走（1k-TWT）估算的峰值摄氧量（%PRED）的已建立预测方程的预后能力。
基于人群的前瞻性研究。
共有 1442 名年龄在 25-85 岁的男性患者在基线时接受了中度感知调节（Borg 量表 6-20 级的 11-13 级）跑步机行走（1k-TWT）以估算峰值摄氧量（VOpeak）。%PRED 由 ACSM、Ades 等人、Morris 等人和 Wasserman/Hansen 方程得出，并评估了它们的预后性能。全因死亡率为终点。参与者被分为%PRED 的四分位数，使用 Cox 回归模型估计死亡率风险。
在中位 8.2 年的随访期间，发生了 167 例全因死亡。Wasserman/Hansen 方程提供了最高的预后价值。随着%PRED 的四分位数增加，死亡率降低。与第一四分位数相比，在调整混杂因素后，第二、第三和第四四分位数的死亡率风险分别降低，HR 分别为 0.75（95%CI 0.44-1.29，p=0.29）、0.67（95%CI 0.38-1.18，p=0.17）和 0.37（95%CI 0.10-0.78，p=0.009）（p 值<0.0001）。%PRED 每增加 1%，生存率提高 4%。
Wasserman/Hansen 方程应用于 1k-TWT 得出的%PRED 与门诊心脏病患者的生存呈负相关且显著相关。1k-TWT 是一种简单而有用的工具，可用于对参与二级预防计划的患者进行死亡率风险分层。
