BACKGROUND: There is need for risk stratification of adverse events in patients with heart failure with HFpEF as the number of patients is increasing and prognosis of this population is poor. This study was performed to determine whether endothelial dysfunction measured by peripheral artery tonometry (PAT) can predict prognosis of patients with heart failure with preserved ejection fraction (HFpEF). METHODS: We included 159 patients with HFpEF, and log-transformed reactive hyperemia index (L_RHI) was measured. Patients were followed-up for HF-related events, which including HF-related death and re-hospitalization due to congestive heart failure for 300 days. RESULTS: A total of 32 HF-related events occurred during follow-up, including 4 deaths due to HF and 28 cases of re-hospitalization due to acute decompensated HF. Cox regression analysis indicated that L_RHI (HR 0.56, 95% CI: 0.39-0.80 for an increase of 0.1) was an independent predictor of HF-related events. Receiver operating characteristic analysis was performed for L_RHI, and the area under the curve was 0.73 (95% CI: 0.62-0.83). Moreover, a value of 0.49 was suggested as the optimal cut-off value for prediction of adverse events in this population. CONCLUSION: L_RHI measured by non-invasive PAT is a predictor of poor prognosis in patients with HFpEF.
BACKGROUND: There is need for risk stratification of adverse events in patients with heart failure with HFpEF as the number of patients is increasing and prognosis of this population is poor. This study was performed to determine whether endothelial dysfunction measured by peripheral artery tonometry (PAT) can predict prognosis of patients with heart failure with preserved ejection fraction (HFpEF). METHODS: We included 159 patients with HFpEF, and log-transformed reactive hyperemia index (L_RHI) was measured. Patients were followed-up for HF-related events, which including HF-related death and re-hospitalization due to congestive heart failure for 300 days. RESULTS: A total of 32 HF-related events occurred during follow-up, including 4 deaths due to HF and 28 cases of re-hospitalization due to acute decompensated HF. Cox regression analysis indicated that L_RHI (HR 0.56, 95% CI: 0.39-0.80 for an increase of 0.1) was an independent predictor of HF-related events. Receiver operating characteristic analysis was performed for L_RHI, and the area under the curve was 0.73 (95% CI: 0.62-0.83). Moreover, a value of 0.49 was suggested as the optimal cut-off value for prediction of adverse events in this population. CONCLUSION: L_RHI measured by non-invasive PAT is a predictor of poor prognosis in patients with HFpEF.
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