IRVF patterns, rather than RI, depended on RAP, suggesting a correlation with renal congestion. In addition, IRVF patterns strongly correlated with clinical outcomes independent of RAP and other risk factors and might provide additional information to stratify vulnerable HF patients.

Aims The objective of the study was to evaluate whether the geriatric nutritional risk index (GNRI) at discharge may be helpful in predicting the long‐term prognosis of patients hospitalized with heart failure (HF) with preserved ejection fraction (HFpEF, left ventricular ejection fraction ≥50%), a common HF phenotype in the elderly. Methods and results Overall, 110 elderly HFpEF patients (≥65 years) from the Ibaraki Cardiovascular Assessment Study‐HF ( n = 838) were enrolled. The mean age was 78.5 ± 7.2 years, and male patients accounted for 53.6% ( n = 59). All‐cause mortality was compared between the low GNRI (<92) with moderate or severe nutritional risk group and the high GNRI (≥92) with no or low nutritional risk group. Cox proportional hazard regression models were constructed to evaluate the influence of the GNRI on all‐cause death with the following covariates using forward stepwise selection: age, sex, nutritional status based on the GNRI as a categorical variable, history of HF hospitalization, haemoglobin level, estimated glomerular filtration rate, log brain natriuretic peptide levels (logBNP), history of hypertension, log C‐reactive protein levels, left ventricular ejection fraction, left ventricular mass index, and the New York Heart Association functional classification (I/II or III class). The prognostic value of the GNRI was compared with that of serum albumin using C‐statistics. The GNRI was added to the logBNP, serum albumin or the body mass index was added to the logBNP, and the C‐statistic was compared using DeLong's test. Cox regression analysis revealed that age and a low GNRI were independent predictors of all‐cause death ( P < 0.05, n = 103; hazard ratio = 1.095, 95% confidence interval = 1.031–1.163, for age, and hazard ratio = 3.075, 95% confidence interval = 1.244–7.600, for the GNRI). DeLong's test for the two correlated receiver operating characteristic curves [area under the receiver operating characteristic curve (AUROC) of serum albumin, 0.71; AUROC of the GNRI, 0.75] demonstrated significant differences between the groups ( P = 0.038). Adding the GNRI to the logBNP increased the AUROC for all‐cause death significantly (0.71 and 0.80, respectively; P = 0.040, n = 105). The addition of serum albumin or the body mass index to the logBNP did not significantly increase the AUROC for all‐cause death ( P = 0.082 and P = 0.29, respectively). Conclusions Nutritional screening using the GNRI at discharge is helpful to predict the long‐term prognosis of elderly HFpEF patients.

Background: Although 2-dimensional strain analyses based on speckle tracking echocardiography have been used to detect myocardial deformation, the prognostic impact of 2-dimensional strain is unclear in patients with acute decompensated heart failure (HF). We investigated whether left ventricular and right ventricular (RV) strain parameters assessed by speckle tracking echocardiography provide incremental prognostic information in hospitalized patients because of acute decompensated HF. Methods and Results: Six hundred eighteen patients (age, 72±13 years; 38% women; ejection fraction, 46±16%) hospitalized for acute decompensated HF underwent clinical and echocardiographic evaluation just before discharge. We performed strain analyses of left ventricular global longitudinal strain and left ventricular global circumferential strain. We also analyzed RV longitudinal strain only from the free wall (RV-fwLS) and from all segments of the RV global longitudinal strain wall by using Tomtec software. The primary composite end point was cardiovascular death and readmission for HF. There were 34.8% cardiac events during a median follow-up of 427 days. In multivariate Cox models, among echocardiographic parameters, only impaired RV-fwLS (≥−13.1%; hazard ratio, 1.51; 95% CI, 1.12–2.04; P =0.01) was independently associated with cardiac events. Adding RV-fwLS to clinical risk evaluation (age, New York Heart Association class III/IV, blood urea nitrogen, and brain natriuretic peptide) markedly improved prognostic utility and consequently increased net reclassification improvement by 0.30 ( P =0.01). Conclusions: RV-fwLS is an independent predictor of cardiac events in acute decompensated HF and provides greater prognostic power than standard echocardiographic parameters.

The objective of the study was to clarify whether controlling nutritional status (CONUT) is useful for predicting the long-term prognosis of patients hospitalized with heart failure (HF). A total of 482 (57.5%) HF patients from the Ibaraki Cardiovascular Assessment Study-HF (N = 838) were enrolled (298 men, 71.7 ± 13.6 years). At admission, blood samples were collected and nutritional status assessed using CONUT. CONUT scores were defined as follows: 0-1, normal; 2-4, light; 5-8, moderate; and 9-12, severe undernutrition. Accordingly, 352 (73%) patients had light-to-severe nutritional disturbances. In the follow-up period [median 541.5 (range 354-786) days], 109 deaths were observed. A Kaplan-Meier analysis revealed that all-cause deaths occurred more frequently in HF patients with nutritional disturbances [n = 93 (26.4%)] than in those with normal nutrition [n = 16 (12.3%); log-rank p < 0.001]. The Cox proportional hazard analyses revealed that a per point increase in the CONUT score was associated with an increased risk of all-cause death (hazard ratio 1.142; 95% confidence interval, 1.044-1.249) after controlling simultaneously for age, sex, previous history of HF hospitalization, log brain natriuretic peptide, and use of therapeutic agents at admission (tolvaptan and aldosterone antagonists). This study suggests that nutritional screening using CONUT scores is helpful in predicting the long-term prognosis of patients hospitalized with HF in a multicenter registry setting.

SummaryControlling nutritional status (CONUT) uses 2 biochemical parameters (serum albumin and cholesterol level), and 1 immune parameter (total lymphocyte count) to assess nutritional status. This study examined if CONUT could predict the short-term prognosis of heart failure (HF) patients.A total of 482 (57.5%) HF patients from the Ibaraki Cardiovascular Assessment Study-HF (n = 838) were enrolled (298 men, 71.7 ± 13.6 years). Blood samples were collected at admission, and nutritional status was assessed using CONUT. CONUT scores were defined as follows: 0-1, normal; 2-4, light; 5-8, moderate; and 9-12, severe degree of undernutrition. Accordingly, 352 (73%) patients had light-to-severe nutritional disturbances. The logarithmically transformed plasma brain natriuretic peptide (log BNP) concentration was significantly higher in the moderate-severe nutritional disturbance group (2.92 ± 0.42) compared to the normal group (2.72 ± 0.45, P < 0.01). CONUT scores were significantly higher in the in-hospital death patients [4 (3-8), n = 14] compared with patients who were discharged following symptom alleviation [3 (1-5), n = 446, P < 0.05]. With the exception of transferred HF patients (n = 22), logistic regression analysis that incorporated the CONUT score and the log BNP, showed that a higher CONUT score (P = 0.019) and higher log BNP (P = 0.009) were predictors of in-hospital death, and the median duration of hospital stay was 20 days.Our results demonstrate the usefulness of CONUT scores as predictors of short-term prognosis in hospitalized HF patients.(Int Heart J Advance Publication)