Does a Gradient-Adjusted Cardiac Power Index Improve Prediction of Post-Transcatheter Aortic Valve Replacement Survival Over Cardiac Power Index?

Yonsei Medical Journal 2020년 61권 6호 p.482 ~ p.491

(Agasthi Pradyumna) - Mayo Clinic Department of Cardiovascular Diseases
(Pujari Sai Harika) - Mayo Clinic Department of Cardiovascular Diseases
(Mookadam Farouk) - Mayo Clinic Department of Cardiovascular Diseases
(Tseng Andrew) - Mayo Clinic Department of Cardiovascular Diseases
(Venepally Nithin R.) - Mayo Clinic Department of Cardiovascular Diseases
(Wang Panwen) - Mayo Clinic Department of Health Sciences Research
(Allam Mohamed) - Mayo Clinic Department of Cardiovascular Diseases
(Sweeney John) - Mayo Clinic Department of Cardiovascular Diseases
(Eleid Mackram) - Mayo Clinic Department of Cardiovascular Diseases
(Fortuin Floyd David) - Mayo Clinic Department of Cardiovascular Diseases
(Holmes David R. Jr) - Mayo Clinic Department of Cardiovascular Diseases
(Beohar Nirat) - Mount Sinai Medical Center Division of Cardiology
(Arsanjani Reza) - Mayo Clinic Department of Cardiovascular Diseases

Abstract

Purpose: Cardiac power (CP) index is a product of mean arterial pressure (MAP) and cardiac output (CO). In aortic stenosis, however, MAP is not reflective of true left ventricular (LV) afterload. We evaluated the utility of a gradient-adjusted CP (GCP) index in predicting survival after transcatheter aortic valve replacement (TAVR), compared to CP alone.

Materials and Methods: We included 975 patients who underwent TAVR with 1 year of follow-up. CP was calculated as (CO×MAP)/[451×body surface area (BSA)] (W/m2). GCP was calculated using augmented MAP by adding aortic valve mean gradient (AVMG) to systolic blood pressure (CP1), adding aortic valve maximal instantaneous gradient to systolic blood pressure (CP2), and adding AVMG to MAP (CP3). A multivariate Cox regression analysis was performed adjusting for baseline covariates. Receiver operator curves (ROC) for CP and GCP were calculated to predict survival after TAVR.

Results: The mortality rate at 1 year was 16%. The mean age and AVMG of the survivors were 81±9 years and 43±4 mm Hg versus 80±9 years and 42±13 mm Hg in the deceased group. The proportions of female patients were similar in both groups (p=0.7). Both CP and GCP were independently associated with survival at 1 year. The area under ROCs for CP, CP1, CP2, and CP3 were 0.67 [95% confidence interval (CI), 0.62?0.72], 0.65 (95% CI, 0.60?0.70), 0.66 (95% CI, 0.61?0.71), and 0.63 (95% CI 0.58?0.68), respectively.

Conclusion: GCP did not improve the accuracy of predicting survival post TAVR at 1 year, compared to CP alone.

키워드

Aortic valve stenosis, transcatheter aortic valve replacement, hemodynamics, mortality
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SCI(E) MEDLINE 학술진흥재단(KCI) KoreaMed 
주제코드
주제명(Target field)
연구대상(Population)
연구참여(Sample size)
대상성별(Gender)
질병특성(Condition Category)
연구환경(Setting)
연구설계(Study Design)
연구기간(Period)
중재방법(Intervention Type)
중재명칭(Intervention Name)
키워드(Keyword)
유효성결과(Recomendation)
Gradient-adjusted CPI does not show superiority over CPI alone in predicting 1-year mortality post TAVR.
연구비지원(Fund Source)
근거수준평가(Evidence Hierarchy)
출판년도(Year)
참여저자수(Authors)
대표저자
KCD코드
ICD 03
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