Prognostic significance of pulmonary arterial wedge pressure estimated by deep learning in acute heart failure.

ABSTRACT:

Aims

Acute decompensated heart failure (ADHF) presents with pulmonary congestion, which is caused by an increased pulmonary arterial wedge pressure (PAWP). PAWP is strongly associated with prognosis, but its quantitative evaluation is often difficult. Our prior work demonstrated that a deep learning approach based on chest radiographs can calculate estimated PAWP (ePAWP) in patients with cardiovascular disease. Therefore, the present study aimed to assess the prognostic value of ePAWP and compare it with other indices of haemodynamic congestion.

Methods and results

We conducted a post hoc analysis of a single-centre, prospective, observational heart failure registry and analysed data from 534 patients admitted for ADHF between January 2018 and December 2019. The deep learnin

SUBMITTER: Saito Y 

PROVIDER: S-EPMC10053257 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature