Utility of Nutritional Screening in Predicting Short-Term Prognosis of Heart Failure Patients

Prognostic value of nutritional screening tools in hospitalized patients with decompensated heart failure: A systematic review and meta-analysis

Nutritional risk screening is fundamental to prevent undesirable outcomes in heart failure (HF). Current reviews of nutritional screening tools encompass both hospitalized and outpatient settings, which may not be suitable because of different clinical manifestations. We hypothesize that multidimensional tools would better identify prognosis of decompensated patients because the tools assess more than isolated aspects. This systematic review aims to explore the association of multidimensional nutritional risk screening tools and prognosis in patients hospitalized with decompensated HF. Five databases were searched for studies that assessed nutritional risk through multidimensional screening tools and its association with prognosis in adults hospitalized with decompensated HF. The 95% confidence interval and relative risk were computed using a random-effects model. Inverse variance method was used. Thirty-eight studies were included. Most studies demonstrated higher nutritional risk was significantly associated with worse prognosis. Quantitative analysis identified higher nutritional risk by using the Mini Nutritional Assessment Short Form (MNA-SF), Controlling Nutritional Status, Geriatric Nutritional Risk Index, and Prognostic Nutritional Index to be associated with all-cause mortality. The MNA-SF demonstrated greater magnitude of association with all-cause mortality in older subjects (relative risk, 4.85; 95% confidence interval, 2.0-11.75). Higher nutritional risk was associated with poor prognosis and higher mortality in patients hospitalized with decompensated HF, especially when screened by MNA-SF. Tools were not directly compared. That might reinforce the importance of evaluating multiple aspects when screening hospitalized HF patients once symptoms associated with decompensation frequently mask the underlying nutritional status and risk. PROSPERO registration number (CRD42021256271).

COntrolling NUTritional Status (CONUT) as Predictive Score of Hospital Length of Stay (LOS) and Mortality: A Prospective Cohort Study in an Internal Medicine and Gastroenterology Unit in Italy

BACKGROUND

Hospital malnutrition affects nearly 30% of patients in medical wards and correlates with worse outcomes. An early assessment is necessary to stratify the risk of short-term outcomes and mortality. The predictive role of COntrolling NUTritional status (CONUT) score in this context has not yet been elucidated in Western countries. We aimed to test CONUT at admission as a predictive score of hospital outcomes, in an Internal Medicine and Gastroenterology Department of an Italian Tertiary Care University hospital.

METHODS

We prospectively enrolled patients admitted to our center, stratifying them into the four CONUT classes (normal = 0-1; mild = 2-4; moderate = 5-8; severe = 9-12 points) according to serum albumin (g/dL), total lymphocyte count (/mm³), and total cholesterol (mg/dL); the primary outcome measure was length of stay (LOS) and the secondary one was in-hospital mortality.

RESULTS

Out of a total of 203 patients enrolled, 44 (21.7%) patients had a normal status (0-1), 66 (32.5%) had a mild impairment (2-4), 68 (33.5%) had a moderate impairment (5-8), and 25 (12.3%) a severe impairment (9-12). The mean LOS was 8.24 ± 5.75 days; nine patients died. A moderate-severe CONUT correlated with a higher LOS at the univariate [HR 1.86 (95% CI 13.9-3.47); p < 0.0001] and multivariate analysis [HR 1.52 (95% CI 1.10-2.09); p = 0.01]. The CONUT score was also a predictor of mortality, with an AUC of 0.831 (95% CI 0.680-0.982) and with an optimal cut-off at 8.5 points. Nutritional supplementation within 48 h from admission correlated with lower mortality [OR 0.12 (95% CI 0.02-0.56) p = 0.006].

CONCLUSIONS

CONUT is a reliable and simple predictor of LOS and in-hospital mortality in medical wards.

The Association of Nutritional Risk Screening 2002 With 1-Year Re-hospitalization and the Length of Initial Hospital Stay in Patients With Heart Failure

Backgrounds and Aims

Nutritional Risk Screening 2002 (NRS-2002) has been widely recommended for identifying the nutritional risk. However, the association between NRS-2002 and the prognosis of heart failure has not been fully addressed. This study aimed to explore the association of NRS-2002 with 1-year re-hospitalization and the length of initial hospital stay in heart failure patients.

Methods

This retrospective study included 2,830 heart failure patients. The primary endpoint was 1-year re-hospitalization for heart failure. The secondary endpoint was the length of initial hospital stay. The Log-binomial regression analysis was performed to determine the association between NRS-2002 and re-hospitalization. The Cox regression model was fitted to estimate hazard of discharge. The cumulative incidence curves of discharge were plotted using Kaplan–Meier method and log-rank test was performed. Exploratory analysis was also conducted according to the classification of heart failure and the level of N-terminal pro-B-type natriuretic peptide (NT-proBNP) fold-elevation.

Results

Among 2,830 heart failure patients, the mean age was 64.3 years and 66.4% were male. A total of 122 (4.3%) patients were considered at high nutritional risk. Log-binomial regression analysis demonstrated that higher NRS-2002 score was an independent risk factor of re-hospitalization ([1 vs. 0]: relative risks [RR] = 1.383, 95% CI = 1.152 to 1.660; [2 vs. 0]: RR = 1.425, 95% CI = 1.108 to 1.832; [3–7 vs. 0]: RR = 1.770, 95% CI = 1.310 to 2.393). Kaplan–Meier curve showed that the cumulative incidence of discharge was lower in high nutritional risk group (Log rank p &lt; 0.001). Cox regression analysis also found that higher NRS-2002 score (2 or ≥3) was strongly associated with longer length of initial hospital stay ([2 vs. 0]: Hazard ratios [HR] = 0.854, 95% CI = 0.748 to 0.976; [3–7 vs. 0]: HR = 0.609, 95% CI = 0.503 to 0.737). Exploratory analysis showed that such association still remained irrespective of NT-proBNP fold-elevation, but only existed in patients with heart failure with preserved ejection fraction (HFpEF).

Conclusion

In patients with heart failure, high NRS-2002 score was strongly and independently associated with the incidence of 1-year re-hospitalization and the length of initial hospital stay.

Prognostic importance of the Controlling Nutritional Status (CONUT) score in patients undergoing cardiac resynchronisation therapy

Aims

Malnutrition is common and associated with worse clinical outcomes in patients with heart failure (HF). The Controlling Nutritional Status (CONUT) score is an integrated index for evaluating diverse aspects of the complex mechanism of malnutrition. However, the relationship between the severity of malnutrition assessed by the CONUT score and clinical outcomes of HF patients receiving cardiac resynchronisation therapy (CRT) has not been fully clarified.

Methods

Clinical records of 263 patients who underwent pacemaker or defibrillator implantation for CRT between March 2003 and October 2020 were retrospectively evaluated. The CONUT score was calculated from laboratory data obtained before CRT device implantation. Patients were divided into three groups: normal nutrition (CONUT scores 0–1, n=58), mild malnutrition (CONUT scores 2–4, n=132) and moderate or severe malnutrition (CONUT scores 5–12, n=73). The primary endpoint was all-cause mortality.

Results

The moderate or severe malnutrition group had a lower body mass index, more advanced New York Heart Association functional class, higher Clinical Frailty Scale score, lower levels of haemoglobin and higher levels of N-terminal probrain natriuretic peptide (all p<0.05). In the moderate or severe malnutrition group, the CRT response rate was significantly lower than for the other two groups (p=0.001). During a median follow-up period of 31 (10–67) months, 103 (39.1%) patients died. Kaplan-Meier analysis revealed that the moderate or severe malnutrition group had a significantly higher mortality rate (log-rank p<0.001). A higher CONUT score and CONUT score ≥5 remained significantly associated with all-cause mortality after adjusting for previously reported clinically relevant factors and the conventional risk score (VALID-CRT risk score) (all p<0.05).

Conclusions

A higher CONUT score before CRT device implantation was strongly associated with HF severity, frailty, lower CRT response rate and subsequent long-term all-cause mortality.

Prognostic Value of 3 Nutritional Screening Tools to Predict 30-Day Outcome in Patients Undergoing Carotid Artery Stenting

The effect of malnutrition on outcomes after carotid artery stenting (CAS) is not well known. This study reports the relationship between malnutrition and post-procedure 30-day major adverse events (MAEs). A total of 978 patients hospitalized for CAS were enrolled in the study. Controlling nutritional status (CONUT) score, the nutritional risk index (NRI), and the prognostic nutritional index (PNI) were calculated. MAEs (myocardial infarction, stroke/transient ischemic attack and mortality) were compared. According to the CONUT score, NRI, and PNI, 9.4%, 41%, and 11.4% patients were moderately or severely malnourished, respectively; 74.8% were at least mildly malnourished by at least 1 score. Forty-seven patients (4.8%) had a post-procedure 30-day MAE. Continuous classifications of the indexes were independently associated with higher MAE. CONUT showed the highest predictive ability, whereas NRI had the lowest (C-index: CONUT, 0.701; NRI, 0.681; PNI, 0.688). According to categorical classification of indexes, only CONUT and PNI showed predictive ability for MAE. Malnutrition assessment could identify patients with CAS at elevated risk for MAE. CONUT, NRI, and PNI continuous scores were independent prognostic factors for the post-procedure 30-day MAE. According to our study, CONUT showed the highest predictive ability.

Association Between Albumin-Bilirubin Score at Admission and In-Hospital Mortality in Patients with Acute Heart Failure

Liver dysfunction is one of the most recognized complications in patients with acute heart failure (HF) and therefore a liver function score may be useful for risk-stratification in those patients. Recently, the albumin-bilirubin (ALBI) score was developed as a new model to assess liver function in liver disease. We explored the association between the ALBI score at admission and in-hospital mortality in patients with acute HF.We enrolled 262 patients (median age, 86 years, 137 males) who were admitted to our hospital for treatment of acute HF. The following data were recorded: vital signs, laboratory data including B-type natriuretic peptide (BNP) level, echocardiographic data at admission, demographic and clinical characteristics, and treatment and prognostic information. The Get With the Guidelines-Heart Failure (GWTG-HF) risk score was calculated as an established risk model for each patient. The primary outcome was all-cause in-hospital mortality.During hospitalization, 37 patients (14.1%) died. The in-hospital mortality rate was significantly higher in patients with ALBI scores > -2.25 compared with patients with ALBI scores ≤ -2.25 (21.1% versus 4.5%, respectively; P = 0.0001). Multivariate analysis revealed that the GWTG-HF score (odds ratio [OR] 1.16, 95% confidence interval [CI] 1.08-1.25, P < 0.0001), BNP level (OR 1.0007, 95% CI 1.0003-1.001, P = 0.0003) and ALBI score (OR 6.0, 95% CI 1.8-19.6, P = 0.0017) were independently associated with in-hospital mortality.Our results indicated that the ALBI score was independently associated with in-hospital mortality in patients hospitalized for acute HF.

Tools for the Assessment of the Malnutrition Status and Possible Interventions in Elderly with Cardiovascular Diseases

Malnutrition represents a common and important feature in elderly people affected by cardiovascular diseases. Several studies have investigated its prevalence and prognostic role in most clinical settings, including cardiovascular disease. However, in daily practice it usually remains unrecognized and consequently untreated. The present review was ideated to answer the main questions about nutritional status assessment in patients with cardiovascular disease: why, when, where, how to evaluate it, and what to do to improve it. The three main cardiovascular diseases, namely aortic stenosis, ischaemic heart disease, and heart failure were considered. First, the main evidence supporting the prognostic role of malnutrition are summarized and analyzed. Second, the main tools for the assessment of malnutrition in the hospital and outpatient setting are reported for each condition. Finally, the possible strategies and interventions to address malnutrition are discussed.

＜Editors' Choice＞ Prognostic utility of multipoint nutritional screening for hospitalized patients with acute decompensated heart failure

This study aimed to evaluate the impact of serial changes in nutritional status on 1-year events including all-cause mortality or rehospitalization owing to heart failure (HF) among hospitalized patients with acute decompensated HF (ADHF). The study subjects comprised 253 hospitalized patients with ADHF. The controlling nutritional status (CONUT) score was assessed both at hospital admission and discharge. The subjects were divided into three groups according to nutritional status using CONUT score: normal (0 and 1), mild risk (2-4), and moderate to severe risk defined as malnutrition (5-12). We observed nutritional status was improved or not. The incidence of malnutrition was 30.4% at hospital admission and 23.7% at discharge, respectively. Malnutrition was independently associated with 1-year events among hospitalized patients with ADHF. Presence or absence of improvement in nutritional status was significantly associated with 1-year events (P < 0.05), that was independent of percentage change in plasma volume in multivariate Cox regression analyses. We determined a reference model, including gender and estimated glomerular filtration rate, using multivariate logistic regression analysis (P < 0.05). Adding the absence of improvement in nutritional status during hospitalization to the reference model significantly improved both NRI and IDI (0.563, P < 0.001 and 0.039, P = 0.001). Furthermore, malnutrition at hospital discharge significantly improved NRI (0.256, P = 0.036) In conclusion, serial changes in the nutritional status evaluated on the basis of multiple measurements may provide more useful information to predict 1-year events than single measurement at hospital admission or discharge in hospitalized patients with ADHF.

Correlations and Prognostic Roles of the Nutritional Status and Neutrophil-to-lymphocyte Ratio in Elderly Patients with Acute Myocardial Infarction Undergoing Primary Coronary Intervention

The prognostic capacities of nutritional status and inflammation in patients with acute myocardial infarction (AMI) have attracted increasing interest. However, the combined usefulness of the Controlling Nutritional Status (CONUT) score and neutrophil-to-lymphocyte ratio (NLR) in predicting adverse outcomes has not been investigated. The aim of our study was to investigate the relationship between the CONUT score and the NLR in patients with AMI and assessing the potential of these factors as prognostic markers.In this retrospective study, we reviewed the medical records of consecutive patients aged 65 years or older who were diagnosed with AMI and who underwent primary coronary intervention. We assessed the nutritional and inflammatory statuses using the CONUT score and the NLR, respectively. The NLR and CONUT score in the major adverse cardiovascular event (MACE) (+) patients were significantly higher than those in the MACE (-) patients. The areas under the receiver operating characteristic curves of the NLR and CONUT score were 0.71 and 0.77, respectively. The Kaplan-Meier analysis showed that patients with a high NLR (≥6.07) and CONUT score (≥3.5) had the worst prognoses. The multivariate Cox proportional hazards analyses suggested that the CONUT score was an independent predictor.The CONUT score was proven to be a significant prognostic factor of clinical outcomes in patients with AMI. However, further research in this area is needed to more fully understand the relationship among nutritional status, inflammation, and cardiovascular diseases, which might help reduce MACEs in patients with AMI.

The Additional Prognostic Value of Ghrelin for Mortality and Readmission in Elderly Patients with Acute Heart Failure

Purpose

To evaluate the prognostic value of ghrelin, a growth hormone-releasing peptide, for mortality and readmission in elderly patients with acute heart failure (AHF).

Patients and Methods

We measured plasma ghrelin and pro B-type natriuretic peptide (NT-proBNP) levels upon emergency admission in 241 prospectively recruited elderly AHF patients (61.0% men). The outcomes were all-cause mortality and/or readmission due to heart failure (HF). Multivariate Cox proportional hazards regression analyses were used to evaluate the prognostic value of ghrelin. Discrimination, calibration, and reclassification indices were compared between models, with or without ghrelin.

Results

During 1.2 years of follow-up, we observed 90 events (57 deaths and 33 readmissions due to HF). Plasma ghrelin levels were significantly elevated in elderly AHF patients, when compared to healthy control subjects (P < 0.001). Patients with events had significantly higher baseline ghrelin levels, when compared to those without (P < 0.001). Ghrelin levels were positively correlated with NT-proBNP levels and HF severity, whereas they were negatively correlated with nutritional status (all P < 0.05). Log transformed ghrelin levels were independently associated with AHF events (hazard ratio = 2.64, 95% confidence interval = 1.11–6.25, P = 0.028). The incorporation of ghrelin into the reference model, or reference with the NT-proBNP model, both improved C-statistics (from 0.742–0.780 and 0.836–0.857; P = 0.074 and 0.044, respectively), resulting in an improvement in net reclassification index (14.42% and 10.45%, P = 0.020 and 0.025, respectively), and integrated discrimination index (5.64% and 3.60%, both P < 0.001). Patients who displayed the above NT-proBNP and ghrelin median levels had a markedly higher risk of AHF adverse events (P < 0.001).

Conclusion

Plasma ghrelin is an independent predictor of adverse events in elderly AHF patients. Ghrelin may provide additional value to clinical parameters or NT-proBNP for prognostic risk stratification in AHF.

Geriatric Nutritional Risk Index Is Associated With Prognosis in Patients With Pulmonary Arterial Hypertension and Chronic Thromboembolic Pulmonary Hypertension

Background: The Geriatric Nutritional Risk Index (GNRI) is a simple tool for assessing nutritional risk that predicts prognosis in patients with heart failure. This study evaluated associations between the GNRI at first hospitalization and prognosis in patients with pulmonary artery hypertension (PAH) and those with chronic thromboembolic pulmonary hypertension (CTEPH). Methods and Results: This retrospective investigation included 104 patients with either PAH or CTEPH who were treated at Kagoshima University Hospital in Japan. Patients were divided into a high (≥92) and low (<92) GNRI groups. Body mass index and serum albumin levels were significantly lower in the low GNRI group (P<0.001). Over a median follow-up period of 24 months, the incidence of pulmonary hypertension rehospitalization was higher in the low GNRI group (P=0.04). Kaplan-Meier analysis revealed that the cumulative event-free rate was significantly lower in the low GNRI group (P=0.002). Low GNRI was significantly associated with a poorer outcome after adjusting for different sets of confounding factors, including: age and sex (P=0.004); age, sex, and PAH (P=0.043); and age, sex, and mean pulmonary artery pressure (P=0.003). Conclusions: The GNRI at first hospitalization is useful for predicting prognosis in PAH and CTEPH patients.

Usefulness of the Simplified Frailty Scale in Predicting Risk of Readmission or Mortality in Elderly Patients Hospitalized with Cardiovascular Disease

The simplified frailty scale is a simple frailty assessment tool modified from Fried's phenotypic frailty criteria, which is easy to administer in hospitalized patients. The applicability of the simplified frailty scale to indicate prognosis in elderly hospitalized patients with cardiovascular disease (CVD) was examined.This cohort study was performed in 895 admitted patients ≥ 65 years (interquartile range, 71.0-81.0, 541 men) with CVD. Patients were classified as robust, prefrail, or frail based on the five components of the simplified frailty scale: weakness, slowness, exhaustion, low activity, and weight loss. The primary endpoint was the composite outcome of all-cause mortality and unplanned readmission for CVD.Patients positive for greater numbers of frailty components showed higher risk of all-cause mortality or unplanned CVD-related readmission (P for trend < 0.001). Classification as both frail (adjusted HR: 3.27, 95% confidence interval [CI]: 1.49-7.21, P = 0.003) and prefrail (adjusted HR: 2.19, 95% CI: 1.00-4.79, P = 0.049) independently predicted the composite endpoint compared with robust after adjusting for potential confounding factors. The inclusion of prefrail, frail, and number of components of frailty increased both continuous net reclassification improvement (0.113, P = 0.049; 0.426, P < 0.001; and 0.321, P < 0.001) and integrated discrimination improvement (0.007, P = 0.037; 0.009, P = 0.038; and 0.018, P = 0.002) for the composite endpoint.Higher scores on the simplified frailty scale were associated with increased risk of mortality or readmission in elderly patients hospitalized for CVD.

Clinical Significance of the Controlling Nutritional Status (CONUT) Score in Patients with Infective Endocarditis

Risk stratification of patients with infective endocarditis (IE) is difficult. The Controlling Nutritional Status (CONUT) score is an index of immune function and nutritional status. We investigated the prognostic value of the CONUT score in IE and whether its prognostic value differed between IE patients with and without indications for surgery.Clinical records were retrospectively evaluated for 92 patients with IE treated at Nihon University Itabashi Hospital and Nihon University Hospital between January 2014 and May 2019. The CONUT score was determined upon admission, and patients were divided into two groups at the median score (≤ 7 [n = 50] and ≥ 8 [n = 42]). The primary outcome was all-cause mortality at 90 days after admission.The high CONUT group had significantly higher C-reactive protein and N-terminal pro-brain natriuretic peptide levels, as well as a significantly lower hemoglobin and estimated glomerular filtration rate (all P < 0.05), and considerably more valve perforation (26% versus 8%, P < 0.05). Kaplan-Meier analysis revealed that mortality was significantly higher in the high CONUT group (P < 0.001). Even after adjusting for the propensity score based on IE risk factors, a higher CONUT score was still associated with mortality. A receiver-operating characteristic analysis revealed that a CONUT score ≥ 8 had a sensitivity of 86% and specificity of 76% for predicting all-cause mortality. A CONUT score ≥ 8 was most strongly associated with mortality in patients with surgical indications (P < 0.001).In patients with IE, a higher CONUT score was significantly associated with inflammation, heart failure, renal dysfunction, anemia, valve dysfunction, and short-term mortality, especially in patients with surgical indications.

Association between Preoperative Nutritional Status and Clinical Outcomes of Patients with Coronary Artery Disease Undergoing Percutaneous Coronary Intervention

Background: Malnutrition is associated with poor outcomes in patients with cancer, heart failure and chronic kidney disease. This study aimed to investigate the predictive value of the Controlling Nutritional Status (CONUT) score in coronary artery disease (CAD) patients. Methods: We recruited a cohort of 3118 patients with CAD undergoing percutaneous coronary intervention (PCI) from 2005 to 2015. Nutritional status was evaluated using the CONUT score, with higher scores reflecting worse nutritional status. Results: After adjustment for comorbidities and medication, an increased CONUT score was independently associated with a higher risk of acute myocardial infarction (AMI) (HR: 1.13; 95% CI: 1.03–1.24), cardiovascular (CV) death (HR: 1.18; 95% CI: 1.07–1.30), congestive heart failure (CHF) (HR: 1.11; 95% CI: 1.04–1.18), a major adverse cardiovascular event (MACE) (HR: 1.14; 95% CI: 1.07–1.22), and total CV events (HR: 1.11; 95% CI: 1.07–1.15). The subgroup analyses demonstrated that the association of the CONUT score existed independently of other established cardiovascular risk factors. In addition, CONUT significantly improved risk stratification for myocardial infarction (MI), cardiac death, CHF, MACEs and total CV events compared to conventional risk factors in CAD patients by the significant increase in the C-index (p < 0.05) and reclassification risk categories in cardiac death and MACEs. Conclusions: The CONUT score improved the risk prediction of adverse events compared to traditional risk factors in CAD patients after percutaneous coronary intervention (PCI).

Effect of risk of malnutrition on 30-day mortality among older patients with acute heart failure in Emergency Departments

BACKGROUND

Little is known about the prevalence and impact of risk of malnutrition on short-term mortality among seniors presenting with acute heart failure (AHF) in emergency setting. The objective was to determine the impact of risk of malnutrition on 30-day mortality risk among older patients who attended in Emergency Departments (EDs) for AHF.

MATERIAL AND METHODS

We performed a secondary analysis of the OAK-3 Registry including all consecutive patients ≥65 years attending in 16 Spanish EDs for AHF. Risk of malnutrition was defined by the Mini Nutritional Assessment Short Form (MNA-SF) < 12 points. Unadjusted and adjusted logistic regression models were used to assess the association between risk of malnutrition and 30-day mortality.

RESULTS

We included 749 patients (mean age: 85 (SD 6); 55.8% females). Risk of malnutrition was observed in 594 (79.3%) patients. The rate of 30-day mortality was 8.8%. After adjusting for MEESSI-AHF risk score clinical categories (model 1) and after adding all variables showing a significantly different distribution among groups (model 2), the risk of malnutrition was an independent factor associated with 30-day mortality (adjusted OR by model 1 = 3.4; 95%CI 1.2-9.7; p = .020 and adjusted OR by model 2 = 3.1; 95%CI 1.1-9.0; p = .033) compared to normal nutritional status.

CONCLUSIONS

The risk of malnutrition assessed by the MNA-SF is associated with 30-day mortality in older patients with AHF who were attended in EDs. Routine screening of risk of malnutrition may help emergency physicians in decision-making and establishing a care plan.

Geriatric nutritional risk index predicts all-cause deaths in heart failure with preserved ejection fraction

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.

The Relationship between Controlling Nutritional (CONUT) Score and Clinical Markers among Adults with Hepatitis C Virus Related Liver Cirrhosis

Aims: To identify the relationship between the Controlling Nutrition Status (CONUT) score and clinical parameters among adults with hepatitis C virus (HCV)-related liver cirrhosis (LC) (n = 264, 141 males and 123 females). Methods: The relationship between the CONUT score and clinical variables such as Child-Pugh classification were investigated. We also examined factors linked to poor nutritional state as determined by CONUT score. Results: According to the CONUT score, normal nutritional state was found in 57 patients, mild malnutrition state in 132, moderate malnutrition state in 68 and severe malnutrition state in 7. The CONUT score ranged from 0 to 9 (median = 2) in Child-Pugh A (n = 198), 0 to 10 (median = 6) in Child-Pugh B (n = 62) and 6 to 9 (median = 7.5) in Child-Pugh C (n = 4) (overall, p < 0.00001). Multivariate analysis revealed that FIB-4 index, branched-chain amino acid to tyrosine ratio and extracellular water to total body water ratio in bioimpedance analysis were significant for both CONUT score 2 or more, and 5 or more. FIB-4 index had the highest predictability for both CONUT score 2 or more and 5 or more among three parameters. Conclusion: The CONUT score well reflects liver functional reserve among adults with HCV-related LC. FIB-4 index can be useful for malnutrition.

Nutritional screening based on the controlling nutritional status (CONUT) score at the time of admission is useful for long-term prognostic prediction in patients with heart failure requiring hospitalization

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.