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Integration of Brain Tissue Saturation Monitoring in Cardiopulmonary Exercise Testing in Patients with Heart Failure
Published on: October 1, 2019
Prognostic value of exercise-induced pulmonary congestion by lung ultrasound in patients with heart failure
Rie Nakayama1, Yoichi Takaya1, Takahiro Nishihara1
1Department of Cardiovascular Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, 2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan.
Introduction:
Pulmonary congestion during exercise is related to a poor prognosis in patients with heart failure (HF). B-Lines assessed by lung ultrasound quantitatively identify pulmonary congestion. The aim of this study was to evaluate the prognostic value of exercise-induced B-lines in patients with HF.
Methods:
Patients with HF who were admitted to Okayama University Hospital between February 2021 to June 2024 were enrolled. Symptom-limited exercise echocardiography using a bicycle ergometer was performed at the time of discharge. B-lines were evaluated in the 2-site simplified scan. The end point was cardiac death or hospitalization for HF.
Results:
A total of 124 patients with HF (71 [57-78] years, 65% male) were enrolled. The total number of B-lines was 1.9 ± 2.1 at rest, which significantly increased to 5.4 ± 3.5 at the peak workload of the average 40 W. In the receiver operating characteristic curve, the cut-off value of exercise-induced B-lines ≥7 at peak workload was related to cardiac events (sensitivity: 50%, specificity: 79%). During the follow-up period of 25 months, 26 patients had cardiac events. Kaplan-Meier analysis showed that the event-free survival rate was significantly worse in patients with B-lines ≥7 at peak workload than in those with B-lines <7 at peak workload (log-rank test, P = .002). B-lines ≥7 at peak workload were independently related to cardiac events.
Conclusion:
Exercise-induced B-lines are associated with cardiac death or hospitalization for HF in patients with HF. B-lines at peak workload may identify risk stratification of HF.
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