The Clinical Utility of Noninvasive Forrester Classification in Acute Heart Failure from PREDICT Study

Abstract

The Forrester classification plays a crucial role in comprehending the underlying pathophysiology of heart failure (HF) and is employed to categorize the severity and predict the outcomes of patients with acute HF. Our objective was to assess the predictive value of the Forrester classification, based on noninvasive hemodynamic measurements obtained through Doppler echocardiography at admission, in forecasting the short-term prognosis posthospitalization of patients with acute HF. Patients were recruited for the Prospect trial to elucidate the utility of EchocarDIography-based Cardiac ouTput in acute heart failure (PREDICT) study, a multicenter, prospective study conducted in Japan. Participants were stratified into 4 profiles using cardiac index (CI) and early mitral filling velocity (E)/early-diastolic mitral annular velocity (e') ratio obtained from Doppler echocardiography upon admission (profile I: CI >2.2, E/e' ≤15, profile II: CI >2.2, E/e' >15, profile III: CI ≤2.2, E/e' ≤15, profile IV: CI ≤2.2, E/e' >15). The primary composite outcome of the study was all-cause mortality or worsening HF during the 14days of hospitalization. Cox proportional hazards model analysis was employed to identify prognostic factors during the observation period. A total of 270 subjects, with a mean age of 74±14years and a male proportion of 60%, were enrolled in the study. During the 14-day period of hospitalization, 58 participants (22%) had a composite outcome. Patients with low CI (i.e., profiles III and IV) demonstrated an elevated risk of composite outcome after adjusting for confounding variables, as evidenced by the adjusted hazard ratios of 5.85 (95% confidence interval 1.17 to 29.09, p<0.01, vs profile III) and 6.50 (95% confidence interval 1.53 to 27.68, p<0.01, vs profile IV) in comparison with profile I, respectively. In conclusion, the Forrester classification, derived from noninvasive Doppler echocardiography at admission, may predict early deterioration in patients hospitalized with acute HF.