Centro Cardiovascular, Hospital de Clinicas, Universidad de la Republica, Montevideo, Uruguay.
Centro Cardiovascular, Hospital de Clinicas, Universidad de la Republica, Montevideo, Uruguay.
JACC Cardiovasc Imaging. 2016 Aug;9(8):924-33. doi: 10.1016/j.jcmg.2015.10.026. Epub 2016 May 25.
This study sought to evaluate predictors of prosthesis-patient mismatch (PPM) and its association with the risk of perioperative and overall mortality.
PPM is associated with increased mid- and long-term mortality after surgical aortic valve replacement. Conflicting results have been reported with regard to its association with perioperative mortality.
Databases were searched for studies published between 1965 and 2014. Main outcomes of interest were perioperative mortality and overall mortality.
The search yielded 382 studies for inclusion. Of these, 58 articles were analyzed and their data extracted. The total number of patients included was 40,381 (39,568 surgical aortic valve replacement and 813 transcatheter aortic valve replacement). Perioperative (odds ratio: 1.54; 95% confidence interval: 1.25 to 1.91) and overall (i.e., perioperative and post-operative) mortality (hazard ratio: 1.26; 95% confidence interval: 1.16 to 1.36) was increased in patients with PPM. The impact of PPM on mortality was higher in those studies in which the mean age of the patients was <70 years of age (and/or AVR with associated coronary artery bypass graft was included). Severe PPM was associated with increased risk of both perioperative and overall mortality, whereas moderate PPM was associated with increased risk of perioperative mortality but not of overall mortality. The impact of PPM was less pronounced in patients with larger body mass index (>28 kg/m(2)) compared with those with lower index. Predictors of PPM were older age, female sex, hypertension, diabetes, renal failure, larger body surface area, larger body mass index, and the utilization of a bioprosthesis.
PPM increases perioperative and overall mortality proportionally to its severity. The identification of predictors for PPM may be useful to identify patients who are at higher risk for PPM. The findings of this study support the implementation of strategies to prevent PPM especially in patients <70 years of age and/or with concomitant coronary artery bypass graft.
本研究旨在评估假体-患者不匹配(PPM)的预测因素及其与围手术期和总死亡率风险的关系。
PPM 与外科主动脉瓣置换术后的中晚期死亡率增加有关。关于其与围手术期死亡率的关系,已有相互矛盾的结果报道。
检索了 1965 年至 2014 年期间发表的研究。主要观察终点为围手术期死亡率和总死亡率。
搜索结果共纳入 382 项研究。其中,分析了 58 篇文章并提取其数据。共纳入患者 40381 例(39568 例外科主动脉瓣置换术和 813 例经导管主动脉瓣置换术)。PPM 患者的围手术期(比值比:1.54;95%置信区间:1.25 至 1.91)和总死亡率(即围手术期和术后)(风险比:1.26;95%置信区间:1.16 至 1.36)均增加。在患者年龄<70 岁(和/或包括主动脉瓣置换术伴冠状动脉旁路移植术)的研究中,PPM 对死亡率的影响更高。严重 PPM 与围手术期和总死亡率的风险增加相关,而中度 PPM 与围手术期死亡率的风险增加相关,但与总死亡率无关。与体重指数较低的患者相比,体重指数>28kg/m2 的患者的 PPM 影响较小。PPM 的预测因素包括年龄较大、女性、高血压、糖尿病、肾衰竭、体表面积较大、体重指数较大以及生物假体的使用。
PPM 与严重程度成比例地增加围手术期和总死亡率。识别 PPM 的预测因素可能有助于识别发生 PPM 风险较高的患者。本研究的结果支持实施预防 PPM 的策略,特别是在<70 岁的患者和/或伴发冠状动脉旁路移植术的患者中。