A novel optimized adaptive servo-ventilation setting for a patient with severe heart failure based on the echocardiogram: a case report

基于超声心动图的重度心力衰竭患者新型优化自适应伺服通气设置:病例报告

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Abstract

BACKGROUND: Adaptive servo-ventilation (ASV) is a non-invasive positive-pressure ventilation therapy considered beneficial for treating heart failure (HF) in patients with central sleep apnoea. However, to the best of our knowledge, there is no evidence indicating that this therapy increases the mortality in HF patients. We hypothesized that ASV settings are important for HF patients with reduced ejection fraction. Therefore, to determine the suitable ASV setting for such patients, we optimized these settings to improve the left ventricular (LV) output during the therapy. CASE SUMMARY: We present a case of HF caused by dilated cardiomyopathy in a 45-year-old man. He was hospitalized due to HF; his LV ejection fraction was ∼20%, and haemodynamics analysis revealed his HF grade was Forrester subset IV. During hospitalization, he was diagnosed with sleep apnoea; therefore, we induced ASV with our optimized setting using an echocardiogram evaluating stroke volume (SV). Using this method, we could determine the appropriate setting that increased his SV and improved his apnoea-hypopnoea index. At the 5th-year follow-up, he had no dyspnoea on effort (New York Heart Association Functional Classification I). He continued using the ASV with good adherence, and no hospitalization for ventricular arrhythmia and HF was reported. DISCUSSION: Our ASV optimized setting showed beneficial effects in an HF patient with reduced ejection fraction. This method improved the patient's SV and apnoea-hypopnoea index, indicating that this novel method should be considered for HF patients with reduced ejection fraction.

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