Association of nutritional risk index with metabolic biomarkers, appetite-regulatory hormones and inflammatory biomarkers and outcome in patients with chronic heart failure

2014 ◽  
Vol 68 (11) ◽  
pp. 1293-1300 ◽  
Author(s):  
G. Gouya ◽  
P. Voithofer ◽  
S. Neuhold ◽  
A. Storka ◽  
G. Vila ◽  
...  
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Risk Index ◽  
Inflammatory Biomarkers ◽  
Nutritional Risk ◽  
Nutritional Risk Index ◽  
Metabolic Biomarkers

PROGNOSTIC IMPACT OF GERIATRIC NUTRITIONAL RISK INDEX IN ELDERLY PATIENTS WITH HEART FAILURE

2019 ◽  
Vol 73 (9) ◽  
pp. 1807
Author(s):  
Takahiro Okano ◽  
Hirohiko Motoki ◽  
Masatoshi Minamisawa ◽  
Kazuhiro Kimura ◽  
Soichiro Ebisawa ◽  
...  
Keyword(s):  
Heart Failure ◽  
Elderly Patients ◽  
Risk Index ◽  
Nutritional Risk ◽  
Prognostic Impact ◽  
Geriatric Nutritional Risk Index ◽  
Nutritional Risk Index ◽  
Patients With Heart Failure

scholarly journals Geriatric Nutritional Risk Index Predicts Cardiovascular Events in Patients at Risk for Heart Failure

2018 ◽  
Vol 82 (6) ◽  
pp. 1614-1622 ◽  
Author(s):  
Masatoshi Minamisawa ◽  
Takashi Miura ◽  
Hirohiko Motoki ◽  
Yasushi Ueki ◽  
Hitoshi Nishimura ◽  
...  
Keyword(s):  
Heart Failure ◽  
At Risk ◽  
Cardiovascular Events ◽  
Risk Index ◽  
Nutritional Risk ◽  
Geriatric Nutritional Risk Index ◽  
Nutritional Risk Index ◽  
Patients At Risk

scholarly journals Agreement and Classification Performance of Malnutrition Tools in Patients with Chronic Heart Failure

2020 ◽  
Vol 4 (6) ◽  
Author(s):  
Shirley Sze ◽  
Pierpaolo Pellicori ◽  
Jufen Zhang ◽  
Joan Weston ◽  
Andrew L Clark
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Short Form ◽  
Risk Index ◽  
Classification Performance ◽  
Misclassification Rate ◽  
Kappa Statistics ◽  
Predictive Values ◽  
Nutritional Risk Index ◽  
Moderate Malnutrition

ABSTRACT Background Malnutrition is common in patients with chronic heart failure (CHF) and is associated with adverse outcome, but few data exist. Objectives The objective of this study was to compare the agreement and classification performance of 6 malnutrition tools in patients with CHF. Methods We evaluated the performance of 6 malnutrition tools: COntrolling NUTritional Status Index (CONUT), Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI), Malnutrition Universal Screening Tool (MUST), Mini Nutritional Assessment–Short Form (MNA-SF), and Subjective Global Assessment (SGA), in 467 consecutive patients with CHF who attended our clinic for follow-up. We used Venn diagrams and Kappa statistics to study the agreement of different tools. Because there is no “gold standard” for malnutrition evaluation, for each of the malnutrition tools, we used the results of the other 5 tools to produce a standard combined index for evaluating at least moderate malnutrition. Subjects were considered as having at least moderate malnutrition if so identified by ≥3/5 tools. We evaluated the sensitivity, specificity, and predictive values of different tools in identifying significant malnutrition as defined by the combined index. Results Men comprised 67% of patients, median age was 76 years, and median N-terminal pro-B-type natriuretic peptide (NTproBNP) was 1156 ng/L. The prevalence of any degree and at least moderate malnutrition ranged between 6–60% and 3–9%, respectively, with CONUT classifying the highest proportion of subjects as malnourished. Malnourished patients tended to be older and have worse symptoms, higher NTproBNP, and more comorbidities. CONUT had the highest sensitivity (80%), MNA-SF and SGA had the highest specificity (99%), and MNA-SF had the lowest misclassification rate (2%) in identifying at least moderate malnutrition as defined by the combined index. Conclusions Malnutrition is common in patients with CHF. The prevalence of malnutrition varies depending on the tool used. Among the 6 malnutrition tools studied, MNA-SF has the best classification performance in identifying significant malnutrition as defined by the combined index.

Abstract 12986: Geriatric Nutritional Risk Index Provides the Additional Long-term Prognostic Information to Gwtg Heart Failure Risk Score in Acute Decompensated Heart Failure Patients With and Without Reduced LVEF

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Takahisa Yamada ◽  
Tetsuya Watanabe ◽  
Takashi Morita ◽  
Yoshio Furukawa ◽  
Shunsuke Tamaki ◽  
...  
Keyword(s):  
Heart Failure ◽  
Nutritional Status ◽  
Risk Score ◽  
Risk Index ◽  
Nutritional Risk ◽  
Geriatric Nutritional Risk Index ◽  
Prognostic Information ◽  
Poor Outcome ◽  
Nutritional Risk Index

Backgrounds: The Get with The Guidelines (GWTG) heart failure (HF) risk score was developed in the GWTG inpatient HF registry to predict in-hospital mortality and has been recently reported to be associated with post-discharge long-term outcomes. Malnutrition is associated with poor outcome in ADHF patients. However, there is no information available on the long-term prognostic significance of the combination of GWTG-HF risk score and malnutrition in patients admitted for ADHF, relating to reduced left ventricular ejection fraction (LVEF). Methods: We studied 303 ADHF patients discharged with survival (HFrEF(LVEF<40%); n=180, HFpEF(LVEF≥40%;n=123). At the admission, we evaluated GWTG-HF score and nutritional status. Variables required for the GWTG-HF risk score were race, age, systolic blood pressure, heart rate, serum levels of blood urea nitrogen and sodium, and the presence of chronic obstructive pulmonary disease. Nutritional status was evaluated by Geriatric Nutritional Risk Index (GNRI) calculated as follows: 14.89 · serum albumin (g/dl) + 41.7 · BMI/22, and malnutrition was defined as GNRI<92. The study endpoint was cardiovascular-renal poor outcome (CVR), defined as cardiovascular death and the development of end-stage renal disease requiring renal replacement therapy. Results: During a follow-up period of 4.2±3.3 yrs, 86 patients had CVR. At multivariate Cox analysis, GWTG-HF risk score and GNRI were significantly and independently associated with CVR, in both HFrEF and HFpEF groups. The patients with both greater GWTG-HF score (>median value=35) and malnutrition had a significantly increased risk of CVR than those with either and none of them ([HFrEF] 60% vs 32% vs 16%, p<0.0001, [HFpEF] 45% vs 18% vs 12%, p<0.0001, respectively) Conclusion: Malnutrition assessed by GNRI would provide the additional long-term prognostic information to GWTG-HF risk score in patients admitted for ADHF, irrespective of the presence of reduced LV function.

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