| Literature DB >> 33359198 |
Yutaka Matsuhiro1, Masami Nishino2, Kohei Ukita1, Akito Kawamura1, Hitoshi Nakamura1, Koji Yasumoto1, Masaki Tsuda1, Naotaka Okamoto1, Akihiro Tanaka1, Yasuharu Matsunaga-Lee1, Masamichi Yano1, Yasuyuki Egami1, Ryu Shutta1, Jun Tanouchi1, Takahisa Yamada3, Yoshio Yasumura4, Shunsuke Tamaki3, Takaharu Hayashi5, Akito Nakagawa6, Yusuke Nakagawa7, Daisaku Nakatani8, Yohei Sotomi8, Shungo Hikoso8, Yasushi Sakata8.
Abstract
The American Society of Echocardiography and/or the European Association of Cardiovascular Imaging recommend a conventional algorithm for estimating left ventricular (LV) filling pressure in heart failure. However, several patients are classed as "indeterminate" due to their LV filling pressures being impossible to calculate. We investigated whether our new echocardiographic algorithm can predict clinical outcomes in patients with heart failure with preserved ejection fraction (HFpEF). We enrolled 754 consecutive patients from the PURSUIT-HFpEF registry. We used the new algorithm to divide them into 2 groups; a normal LV filling pressure group (N group) and a high LV filling pressure group (H group). The H group consisted of 342 patients. Over a mean follow-up of 342 days, 185 patients reached the primary composite end point (157 readmissions for worsening heart failure and 43 cardiovascular deaths). In a multivariable Cox analysis, being in the H group was significantly associated with an increased rate of cardiac events compared with the N group (hazard ratio: 1.71; 95% confidence interval: 1.17 to 2.50, p = 0.006). There were 56 patients (7%) who were assigned to "indeterminate" with the conventional algorithm. Using the new algorithm, we reclassified 16 patients (29%) into the H group and 40 patients (71%) into the N group. The Kaplan-Meier curves showed the reclassified H group had a significantly higher incidence of cardiac events than those assigned to the N group (p < 0.01). In conclusion, the present study demonstrated LV filling pressure assessed by our algorithm can predict clinical outcomes in patients with HFpEF.Entities:
Mesh:
Year: 2020 PMID: 33359198 DOI: 10.1016/j.amjcard.2020.12.035
Source DB: PubMed Journal: Am J Cardiol ISSN: 0002-9149 Impact factor: 2.778