Raisi Andrea, Zerbini Valentina, Myers Jonathan, Masotti Sabrina, Piva Tommaso, Lordi Rosario, Chiaranda Giorgio, Grazzi Giovanni, Mazzoni Gianni, Mandini Simona
Center for Exercise Science and Sport, Department of Neuroscience and Rehabilitation, University of Ferrara, Italy.
Center for Exercise Science and Sport, Department of Neuroscience and Rehabilitation, University of Ferrara, Italy.
Int J Cardiol. 2023 Jan 15;371:371-376. doi: 10.1016/j.ijcard.2022.09.014. Epub 2022 Sep 9.
To estimate the association between average walking speed (WS), determined using a moderate 1-km treadmill-walking test (1 k-TWT), and all-cause mortality in female patients with stable cardiovascular disease (CVD).
A sample of 431 patients (age 67 [34-88] years), performed a 1 k-TWT and were followed for all-cause mortality for up to 23 years. Variables significantly associated with mortality were determined by Cox proportional hazard models. Based on average WS during the 1k_TWT the sample was subdivided into tertiles, and mortality risk was calculated. Receiver-operating-characteristic curves were constructed to assess the discriminatory accuracy of WS for estimating survival.
During a median follow-up of 10.4 years, a total of 135 deaths from any cause occurred, with an average mortality rate of 4.2%. The strongest predictor of mortality was WS (c-statistic for all-cause mortality 0.801, 95% confidence intervals: 0.51-1.11, p < 0.0001). Survival rate decreased from the fastest to the lowest tertile. Compared to the group with the lowest WS, the hazard ratios (95% confidence intervals) for the second and third tertiles were 0.73 (0.48-1.12) and 0.47 (0.25-0.91), respectively (p for trend <0.0001).
Average WS maintained during a moderate treadmill-walk is inversely related to survival in female patients with CVD. The 1 k-TWT is a simple and useful tool for assessing progress and stratifying risk in women undergoing secondary prevention programs.
评估通过适度的1公里跑步机步行测试(1k-TWT)测定的平均步行速度(WS)与稳定心血管疾病(CVD)女性患者全因死亡率之间的关联。
431名患者(年龄67[34 - 88]岁)样本进行了1k-TWT测试,并随访全因死亡率长达23年。通过Cox比例风险模型确定与死亡率显著相关的变量。根据1k_TWT期间的平均WS将样本分为三分位数,并计算死亡风险。构建受试者工作特征曲线以评估WS估计生存的判别准确性。
在中位随访10.4年期间,共发生135例任何原因导致的死亡,平均死亡率为4.2%。死亡率的最强预测因素是WS(全因死亡率的c统计量为0.801,95%置信区间:0.51 - 1.11,p < 0.0001)。生存率从最快三分位数到最低三分位数逐渐降低。与WS最低的组相比,第二和第三三分位数的风险比(95%置信区间)分别为0.73(0.48 - 1.12)和0.47(0.25 - 0.91)(趋势p < 0.0001)。
适度跑步机步行期间保持的平均WS与CVD女性患者的生存呈负相关。1k-TWT是评估接受二级预防计划的女性的病情进展和分层风险的简单且有用的工具。