Do postoperative hemodynamic parameters add prognostic value for mortality after surgical aortic valve replacement?

被引:0
作者
Velders, Bart J. J. [1 ]
Vriesendorp, Michiel D. [1 ]
Asch, Federico M. [2 ]
Dagenais, Francois [3 ]
Lange, Rurdiger [4 ]
Reardon, Michael J. [5 ]
Rao, Vivek [6 ]
Sabik, Joseph F., III [7 ]
Groenwold, Rolf H. H. [8 ,9 ]
Klautz, Robert J. M. [1 ]
机构
[1] Leiden Univ Med Ctr, Dept Cardiothorac Surg, Albinusdreef 2, NL-2333ZA Leiden, Netherlands
[2] MedStar Hlth Res Inst, Cardiovasc Core Labs, Washington, DC USA
[3] Quebec Heart & Lung Inst, Div Cardiac Surg, Quebec City, PQ, Canada
[4] German Heart Ctr Munich, Dept Cardiovasc Surg, Munich, Germany
[5] Houston Methodist DeBakey Heart & Vasc Ctr, Dept Cardiothorac Surg, Houston, TX USA
[6] Toronto Gen Hosp, Dept Cardiovasc Surg, Toronto, ON, Canada
[7] Case Western Reserve Univ, Univ Hosp, Dept Surg, Sch Med, Cleveland, OH USA
[8] Leiden Univ Med Ctr, Clin Epidemiol, Leiden, Netherlands
[9] Leiden Univ Med Ctr, Biomed Data Sci, Leiden, Netherlands
来源
JTCVS OPEN | 2024年 / 17卷
关键词
prosthesis-patient mismatch; postoperative hemodynamic parameters; echocardiography; surgical aortic valve replacement; predictive analytics; END-POINT DEFINITIONS; LONG-TERM SURVIVAL; MISMATCH; IMPACT;
D O I
10.1016/j.xjon.2023.11.011
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Although various hemodynamic parameters to assess prosthetic performance are available, prosthesis-patient mismatch (PPM) is defined exclusively by effective orifice area (EOA) index thresholds. Adjusting for the Society of Thoracic Surgeons predicted risk of mortality (STS PROM), we aimed to explore the added value of postoperative hemodynamic parameters for the prediction of all-cause mortality at 5 years after aortic valve replacement. Methods: Data were obtained from the Pericardial Surgical Aortic Valve Replacement (PERIGON) Pivotal Trial, a multicenter prospective cohort study examining the performance of the Avalus bioprosthesis. Candidate predictors were assessed at the first follow-up visit; patients who had no echocardiography data, withdrew consent, or died before this visit were excluded. Candidate predictors included peak jet velocity, mean pressure gradient, EOA, predicted and measured EOA index, Doppler velocity index, indexed internal prosthesis orifice area, and categories for PPM. The performance of Cox models was investigated using the c-statistic and net reclassification improvement (NRI), among other tools. Results: A total of 1118 patients received the study valve, of whom 1022 were eligible for the present analysis. In univariable analysis, STS PROM was the sole significant predictor of all-cause mortality (hazard ratio, 1.40; 95% confidence interval, 1.261.55). When extending the STS PROM with single hemodynamic parameters, neither the c-statistics nor the NRIs demonstrated added prognostic value compared to a model with STS PROM alone. Similar findings were observed when multiple hemodynamic parameters were added. Conclusions: The STS PROM was found to be the main predictor of patient prognosis. The additional prognostic value of postoperative hemodynamic parameters for the prediction of all-cause mortality was limited. (JTCVS Open 2024;17:47-54)
引用
收藏
页码:47 / 54
页数:8
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