Correction: Feola, M., et al. Six-Month Predictive Value of Diuretic Resistance Formulas in Discharged Heart Failure Patients after an Acute Decompensation. J. Clin. Med. 2020, 9, 2932

Background. The diuretic response has been shown to be a robust independent marker of cardiovascular outcomes in acute heart failure patients. The objectives of this clinical research are to analyze two different formulas (diuretic response (DR) or response to diuretic (R-to-D)) in predicting 6-month clinical outcomes. Methods: Consecutive patients discharged alive after an acute decompensated heart failure (ADHF) were enrolled. All patients underwent N-terminal-pro hormone BNP (NT-proBNP) and an echocardiogram together with DR and R-to-D calculation during diuretic administration. Death by any cause, cardiac transplantation and worsening heart failure (HF) requiring readmission to hospital were considered cardiovascular events. Results: 263 patients (62% male, age 78 years) were analyzed at 6-month follow-up. During the follow-up 58 (22.05%) events were scheduled. Patients who experienced CV-event had a worse renal function (p = 0.001), a higher NT-proBNP (p = 0.001), a lower left ventricular ejection fraction (p = 0.01), DR (p = 0.02) and R-to-D (p = 0.03). Spearman rho’s correlation coefficient showed a strong direct correlation between DR and R to D in all patients (r = 0.93; p < 0.001) and both in heart failure with reduced ejection fraction (HFrEF) (r = 0.94; p < 0.001) and HF preserved ejection fraction (HFpEF) (r = 0.91; p < 0.001). At multivariate analysis, a value of R-to-D <1.69 kg/40 mg, but only <0.67 kg/40 mg for DR were significantly related to poor 6-month outcome (p = 0.04 and p = 0.05, respectively). Receiver operating characteristic (ROC) curve analyses demonstrated that DR and R-to-D are equivalent in predicting prognosis (area under curve (AUC): 0.39 and 0.40, respectively). Only R-to-D was inversely related to in-hospital stay (r = −0.23; p = 0.01). Conclusion: Adding diuresis to DR seemed to provide a better risk assessment in alive HF patients discharged after an acute decompensation.

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Retrospective application of Program to Access and Review Trending iNformation and Evaluate coRrelation to Symptoms in patients with Heart Failure criteria for the remote management of patients with cardiac resynchronisation therapy

Journal of Telemedicine and Telecare ◽

10.1177/1357633x16647633 ◽

2016 ◽

Vol 23 (4) ◽

pp. 470-475

Author(s):

Francesco MA Brasca ◽

Jessica Franzetti ◽

Valeria Rella ◽

Gabriella Malfatto ◽

Roberto Brambilla ◽

...

Keyword(s):

Heart Failure ◽

Remote Monitoring ◽

Area Under The Curve ◽

Cardiac Resynchronisation Therapy ◽

Failure Criteria ◽

Heart Failure Patients ◽

Patients With Heart Failure ◽

Cardiac Resynchronisation ◽

Acute Decompensation ◽

Resynchronisation Therapy

Aim The Program to Access and Review Trending iNformation and Evaluate coRrelation to Symptoms in patients with Heart Failure (PARTNERS HF) trial elaborated a multiparametric model for prediction of acute decompensation in advanced heart failure patients, based on periodical in office data download from cardiac resynchronisation devices. In this study, we evaluated the ability of the PARTNERS HF criteria to detect initial decompensation in a population of moderate heart failure patients under remote monitoring. Methods We retrospectively applied the PARTNERS HF criteria to 1860 transmissions from 104 patients (median follow up 21 months; range 1–67 months), who were enrolled in our programme of telemedicine after cardiac resynchronisation therapy. We tested the ability of a score based on these criteria to predict any acute clinical decompensation occurring in the 15 days following a transmission. Results In 441 cases, acute heart failure was diagnosed after the index transmission. The area under the curve (AUC) of the score for the diagnosis of acute decompensation was 0.752 (confidence interval (CI) 95% 0.728–0.777). The best score cut-off was consistent with the results of PARTNERS HF: with a score ≥2, sensitivity was 75% and specificity 68%. The odds ratio for events was 6.24 (CI 95% 4.90–7.95; p < 0.001). Conclusions When retrospectively applied to remote monitoring transmissions and arranged in a score, PARTNERS HF criteria could identify HF patients who subsequently developed acute decompensation. These results warrant prospective studies applying PARTNERS HF criteria to remote monitoring.

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