Key result
Low shower oxygen saturation is linked to ~3.4-fold higher 90-day HF rehospitalization or CV death.
Why the study?
Early post-discharge deterioration in HF is an unmet clinical challenge requiring a home-applicable physiological stress assessment. Whether continuous oxygen saturation monitoring during showering predicts early post-discharge outcomes in patients hospitalised for acute HF remained unclear.
Does continuous oxygen saturation monitoring during showering identify patients at increased risk of heart failure rehospitalisation or cardiovascular death in patients hospitalised for acute heart failure?
Observational (n=82)
Does continuous oxygen saturation monitoring during showering identify patients at increased risk of heart failure rehospitalisation or cardiovascular death in patients hospitalised for acute heart failure?
Continuous oxygen saturation monitoring during showering using a waterproof wearable device can identify acute heart failure patients at an approximately threefold higher risk of 90-day rehospitalization or cardiovascular death.
Background Early post-discharge deterioration represents a vulnerable phase in heart failure (HF) and remains a major unmet clinical challenge. A home-applicable, standardised physiological stress assessment is therefore needed. Showering is a universal daily activity imposing a moderate load (2–3 METs) and frequently provokes dyspnoea in HF patients. Waterproof wearable technology now enables continuous second-by-second oxygen saturation monitoring during real-world activities. Whether continuous SpO₂ monitoring during showering provides a reliable home-based assessment remains unclear. Purpose To evaluate whether oxygen saturation measured during showering is associated with early post-discharge clinical outcomes in patients hospitalised for acute HF. Methods In this prospective observational study, 82 consecutive patients hospitalised for acute HF underwent continuous second-by-second SpO₂ monitoring prior to discharge using a waterproof wearable pulse oximeter. Mean SpO₂ during a single showering session under stable clinical conditions (SpO₂-shw) was calculated for each patient. Patients were followed for 90 days for a composite endpoint of HF rehospitalisation or cardiovascular death. Associations between SpO₂-shw and outcomes were assessed using Cox proportional hazards models, analysed as a continuous variable and by median stratification. Results The mean age was 78.4 years, 48% of patients were female, mean left ventricular ejection fraction (LVEF) was 46.7%, and median NT-proBNP was 2124 pg/mL. SpO₂-shw showed a modest inverse correlation with NT-proBNP (r = −0.252; 95% CI −0.445 to −0.038; p = 0.022). When analysed as a continuous variable, SpO₂-shw was inversely associated with the composite endpoint (HR 0.90 per 1% increase; 95% CI 0.82–0.99; p = 0.036). This association remained significant after adjustment for age (p = 0.043) and LVEF (p = 0.045). The median SpO₂-shw was 92.3%. Patients with SpO₂-shw ≤92.3% experienced significantly higher event rates, with early post-discharge separation of Kaplan–Meier curves. Low SpO₂-shw was associated with an approximately threefold increased risk of the composite endpoint (HR 3.41; 95% CI 1.10–10.58; p = 0.034). Conclusions Reduced oxygen saturation during showering was associated with early HF deterioration. Continuous second-by-second monitoring during a routine daily activity such as showering may provide clinically relevant physiological information without formal exercise testing. This simple home-applicable approach may support early post-discharge risk stratification.
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Sunayama et al. (2026) conducted an observational in Acute heart failure (n=82). Mean oxygen saturation during showering (SpO₂-shw) ≤92.3% vs. Mean oxygen saturation during showering (SpO₂-shw) >92.3% was evaluated on Composite of heart failure rehospitalisation or cardiovascular death (HR 3.41, 95% CI 1.10-10.58, p=0.034). Low oxygen saturation during showering (≤92.3%) increased 90-day HF rehospitalisation or CV death risk (HR 3.41; 95% CI 1.10-10.58; p=0.034).
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