The prevalence of malnutrition and its effects on the all-cause mortality among patients with heart failure: A systematic review and meta-analysis

What is the additive value of nutritional deficiency to VA-FI in the risk assessment for heart failure patients?

OBJECTIVES

To assess the impact of adding the Prognostic Nutritional Index (PNI) to the U.S. Veterans Health Administration frailty index (VA-FI) for the prediction of time-to-death and other clinical outcomes in Veterans hospitalized with Heart Failure.

METHODS

A retrospective cohort study of veterans hospitalized for heart failure (HF) from October 2015 to October 2018. Veterans ≥50 years with albumin and lymphocyte counts, needed to calculate the PNI, in the year prior to hospitalization were included. We defined malnutrition as PNI ≤43.6, based on the Youden index. VA-FI was calculated from the year prior to the hospitalization and identified three groups: robust (≤0.1), prefrail (0.1-0.2), and frail (>0.2). Malnutrition was added to the VA-FI (VA-FI-Nutrition) as a 32nd deficit with the total number of deficits divided by 32. Frailty levels used the same cut-offs as the VA-FI. We compared categories based on VA-FI to those based on VA-FI-Nutrition and estimated the hazard ratio (HR) for post-discharge all-cause mortality over the study period as the primary outcome and other adverse events as secondary outcomes among patients with reduced or preserved ejection fraction in each VA-FI and VA-FI-Nutrition frailty groups.

RESULTS

We identified 37,601 Veterans hospitalized for HF (mean age: 73.4 ± 10.3 years, BMI: 31.3 ± 7.4 kg/m2). In general, VA-FI-Nutrition reclassified 1959 (18.6%) Veterans to a higher frailty level. The VA-FI identified 1,880 (5%) as robust, 8,644 (23%) as prefrail, and 27,077 (72%) as frail. The VA-FI-Nutrition reclassified 382 (20.3%) from robust to prefrail and 1577 (18.2%) from prefrail to frail creating the modified-prefrail and modified-frail categories based on the VA-FI-Nutrition. We observed shorter time-to-death among Veterans reclassified to a higher frailty status vs. those who remained in their original group (Median of 2.8 years (IQR:0.5,6.8) in modified-prefrail vs. 6.3 (IQR:1.8,6.8) years in robust, and 2.2 (IQR:0.7,5.7) years in modified-frail vs. 3.9 (IQR:1.4,6.8) years in prefrail). The adjusted HR in the reclassified groups was also significantly higher in the VA-FI-Nutrition frailty categories with a 38% increase in overall all-cause mortality among modified-prefrail and a 50% increase among modified-frails. Similar trends of increasing adverse events were also observed among reclassified groups for other clinical outcomes.

CONCLUSION

Adding PNI to VA-FI provides a more accurate and comprehensive assessment among Veterans hospitalized for HF. Clinicians should consider adding a specific nutrition algorithm to automated frailty tools to improve the validity of risk prediction in patients hospitalized with HF.

Frailty, Sarcopenia, Cachexia, and Malnutrition in Heart Failure

With global aging, the number of patients with heart failure has increased markedly. Heart failure is a complex condition intricately associated with aging, organ damage, frailty, and cognitive decline, resulting in a poor prognosis. The relationship among frailty, sarcopenia, cachexia, malnutrition, and heart failure has recently received considerable attention. Although these conditions are distinct, they often exhibit a remarkably close relationship. Overlapping diagnostic criteria have been observed in the recently proposed guidelines and position statements, suggesting that several of these conditions may coexist in patients with heart failure. Therefore, a comprehensive understanding of these conditions is essential, and interventions must not only target these conditions individually, but also provide comprehensive management strategies. This review article provides an overview of the epidemiology, diagnostic methods, overlap, and prognosis of frailty, sarcopenia, cachexia, and malnutrition in patients with heart failure, incorporating insights from the FRAGILE-HF study data. Additionally, based on existing literature, this article discusses the impact of these conditions on the effectiveness of guideline-directed medical therapy for patients with heart failure. While recognizing these conditions early and promptly implementing interventions may be advantageous, further data, particularly from well-powered, large-scale, randomized controlled trials, are necessary to refine personalized treatment strategies for patients with heart failure.

Impact of malnutrition on the quality of life in older patients with advanced heart failure: a cohort study

OBJECTIVES

The aim of this study was to assess the prevalence of malnutrition, the clinical characteristics associated with malnutrition and the impact of nutritional status on mortality, quality of life, self-care abilities, and activities of daily living in the older patients with advanced heart failure.

METHODS

A prospective multicentre cohort study including 260 community-dwelling elderly patients with advanced HF was conducted between June 2017 and December 2019. The study was carried out in 22 primary healthcare centres, three university hospitals, one acute-care hospital, and one geriatric rehabilitation unit in the city of Barcelona (Spain). Nutritional status was assessed at baseline using the Mini Nutritional Assessment questionnaire. Patient-reported outcome measures included quality of life (EQ-5D-3L), self-care behaviour (European Heart Failure Self-care Behaviour Scale) and impact on activities of daily living (Barthel Index).

RESULTS

Using the MNA-SF, 126 (48.5%) patients were identified as being at risk of malnutrition and 33 (12.7%) patients as having confirmed malnutrition. Compared to HF patients with normal nutritional status, patients with confirmed malnutrition were significantly older, with a lower BMI, and with reduced haemoglobin levels. During follow-up (median 14.9 months, Interquartile Range; 4.9-26.9), 133 (51.2%) of the included participants died, and mortality was significantly higher among patients identified as having malnutrition (p < 0.001). Better Barthel index and quality of life scores were inversely related to the risk of malnutrition, [Odds Ratio (OR) 0.97 (95% Confidence interval 0.96; 0.98) and OR 0.98 (95% Confidence interval, 0.96; 0.99)], respectively. Higher scores in the European Heart Failure Self-care Behaviour Scale, which implies worse self care, were related to higher malnutrition risk, OR 1.05 (95% Confidence interval, 1.02; 1.09. Adjusted multivariate logistic model found that malnutrition was significantly associated with poor quality of life, and adverse impacts on daily activities and self-care.

CONCLUSIONS

In community-dwelling older patients with advanced HF, malnutrition was associated with worse patient reported outcome measures related to poor quality of life, and adverse impacts on self-care and daily activities. Nutritional status must be systematically addressed by primary care nurses and family doctors to improve survival rates in these patients. It would be helpful the incorporation of expert professionals in nutrition in the primary health care centres.

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).

Malnutrition-related mortality trends in older adults in the United States from 1999 to 2020

BACKGROUND

Malnutrition mortality in older adults is underrepresented in scientific literature. This obscures any recent changes and hinders needed social change. This study aims to assess malnutrition mortality trends in older adults (≥ 65 years old) from 1999 to 2020 in the United States (U.S.).

METHODS

Mortality data from the Centers for Disease Control and Prevention's (CDC) Wide-Ranging Online Data for Epidemiology Research (WONDER) database were extracted. The ICD-10 Codes E40 - E46 were used to identify malnutrition deaths. Crude mortality rates (CMR) and age-adjusted mortality rates (AAMR) were extracted by gender, age, race, census region, and urban-rural classification. Joinpoint regression analysis was used to calculate annual percentage changes (APC) of AAMR by the permutation test and the parametric method was used to calculate 95% confidence intervals. Average Annual Percentage Changes (AAPC) were calculated as the weighted average of APCs.

RESULTS

Between 1999 and 2020, 93,244 older adults died from malnutrition. Malnutrition AAMR increased from 10.7 per 100,000 in 1999 to 25.0 per 100,000 in 2020. The mortality trend declined from 1999 to 2006 (APC = -8.8; 95% CI: -10.0, -7.5), plateaued till 2013, then began to rise from 2013 to 2020 with an APC of 22.4 (95% CI: 21.3, 23.5) and an overall AAPC of 3.9 (95% CI: 3.1, 4.7). Persons ≥ 85 years of age, females, Non-Hispanic Whites, residents of the West region of the U.S., and urban areas had the highest AAPCs in their respective groups.

CONCLUSION

Despite some initial decrements in malnutrition mortality among older adults in the U.S., the uptrend from 2013 to 2020 nullified all established progress. The end result is that malnutrition mortality rates represent a historical high. The burden of the mortality uptrends disproportionately affected certain demographics, namely persons ≥ 85 years of age, females, Non-Hispanic Whites, those living in the West region of the U.S., and urban areas. Effective interventions are strongly needed. Such interventions should aim to ensure food security and early detection and remedy of malnutrition among older adults through stronger government-funded programs and social support systems, increased funding for nursing homes, and more cohesive patient-centered medical care.

The prediction model of the short-term outcome in elderly heart failure patients

This study was designed to investigate the effect of the comprehensive geriatric assessment on the short-term prognosis of the elderly heart failure patients (EHFP), analyze the relevant risk factors, and construct an effective risk prediction model. According to the selection and exclusion criteria, 617 patients were filtered from 800 patients from the cadre ward database of the first Hospital of Jilin University. The EHFP were randomly divided into the model group (432 cases) and the validation group (185 cases). A retrospective study on the general clinical data of patients in the model group was conducted to analyze the risk factors associated with the short-term outcomes of EHFP. Based on the risk factors, the risk prediction model was established and validated through the validation group. In the model group, the following independent risk factors were identified for the short-term outcomes in EHFP in the light of univariate logistic and cox regression analysis: female (β = 0.989, OR = 1.277, 95% CI: 1.090-1.847, P = 0.024), age (65-75 years, β = 0.654, OR = 2.320, 95% CI: 1.135-3.136, P = 0.012; 75-85 years, β = 1.123, OR = 3.159, 95% CI: 1.532-5.189, P = 0.001; age > 85 years old, β = 1.513, OR = 4.895, 95% CI: 1.866-979, P = 0.001), frailty (β = 1.015, OR = 2.761, 95% CI: 1.097-6.945, P = 0.031), malnutrition (β = 1.271, OR = 3.560, 95% CI: 1.122-11.325, P = 0.002), and EF≦40% (β = 1.250, OR = 3.498, 95% CI: 1.898-6.447, P = 0.001). The simple risk prediction score was set up in line with the five risk factors, including range (1-7), the area under ROC curve (0.771, 95% CI: 0.723-0.819), and H-L test (P = 0.393), so patients were divided into the low-risk group (1-3) and the high-risk group (4-8). As a result, the number of EHFP in the high-risk group was significantly much more than that in the low-risk group (70.1% versus 29.9%, P < 0.001). Besides, the area under ROC curve (0.758, 95% CI: 0.682-0.835) and H-L test (P = 0.669) of the validation group indicated that this model could be a promising prediction model for the short-term outcomes of EHFP. Female, age, frailty, malnutrition, and EF ≦ 40% are independent risk factors for short-term outcomes of EHFP. The risk prediction model based on the five risk factors provided compelling clinic predictive value for the short-term prognosis of EHFP.

Malnutrition in heart failure with preserved ejection fraction

BACKGROUND

Malnutrition may be an important geriatric condition in adults with heart failure with preserved ejection fraction (HFpEF), but studies on its prevalence and associated clinical outcomes are limited. The aim of this study was to determine if malnutrition is associated with short-term morbidity and mortality in ambulatory patients with HFpEF.

METHODS

We examined 231 patients with a clinical diagnosis of HFpEF seen at two dedicated academic HFpEF programs (Weill Cornell Medicine and Michigan Medicine) from June 2018 to April 2022. Malnutrition was defined by Mini-Nutritional Assessment Short Form (MNA-SF) scores ≤11. The primary endpoint was a 6-month composite of all-cause mortality and all-cause hospitalization. A Cox proportional-hazard models was used to examine the association between malnutrition and the primary endpoint, adjusting for race, prior hospitalization history, and the validated Meta-Analysis Global Group in Chronic (MAGGIC) heart failure prognostic risk score.

RESULTS

The median age of the cohort was 73 years (interquartile range 64-81). The most common comorbid conditions included hypertension (prevalence 81%), atrial fibrillation (43%), and obesity (63%). The prevalence of malnutrition was 42% (n = 97), and MNA-SF scores did not significantly correlate with body mass index (R = -0.02, p = 0.71). At the 6-month follow-up, 62 patients (26.8%) were hospitalized and four patients died (1.7%). In a fully-adjusted analysis, malnutrition was independently associated with the composite outcome of all-cause mortality and all-cause hospitalization (HR 1.94 [95% CI: 1.17-3.20], p = 0.01).

CONCLUSION

Despite a high prevalence of obesity, two out of five ambulatory adults with HFpEF are malnourished. Malnutrition was independently associated with adverse outcomes at 6 months. Future work is necessary to develop interventions that can address malnutrition.

Enterocutaneous fistula formation after cardiac transplantation due to injury from LVAD driveline migration

A man in his early 20s with heart failure with reduced ejection fraction secondary to non-compaction cardiomyopathy (Titin (TTN) gene mutation positive) was transitioned from left ventricular assist device (LVAD) mechanical support to heart transplantation. Transplantation was successful; however, LVAD explantation resulted in innumerable complications secondary to penetration of the driveline into the peritoneal cavity. He developed an enterocutaneous fistula which led to concurrent malnutrition, poor wound healing, systemic infection, and allograft rejection in a patient less than 1 month after heart transplantation on immunosuppression.

Prevalence and prognostic importance of malnutrition, as assessed by four different scoring systems, in elder patients with heart failure

BACKGROUND AND AIMS

The lack of standard diagnostic criteria in elder patients with heart failure (HF) makes it challenging to diagnose and manage malnutrition. We aimed to explore the prevalence of malnutrition, its associations and prognostic significance among elder patients with HF using four different nutritional scoring systems.

METHODS AND RESULTS

Consecutively presenting patients aged ⩾65 years, diagnosed with HF, and admitted to HF care unit of Fuwai Hospital CAMS&PUMC (Beijing, China) were assessed for nutritional indices. In total, 1371 patients were enrolled (59.4% men; mean age 72 years; median NT-proBNP 2343 ng/L). Using scores for the prognostic nutritional index (PNI) ≤38, controlling nutritional status (CONUT) score >4, geriatric nutritional risk index (GNRI) ≤91, and triglycerides, total cholesterol, and body weight index (TCBI) ≤1109, 10.4%, 18.3%, 9.2%, and 50.0% of patients had moderate or severe malnutrition, respectively. There was a strong association between worse scores and lower body mass index, more severe symptoms, atrial fibrillation, and anemia. The mortality over a median follow-up of 962 days (interquartile range (IQR): 903-1029 days) was 28.3% (n = 388). For those with moderate or severe condition, 1-year mortality was 35.2% for PNI, 28.3% for CONUT, 28.0% for GNRI, and 19.1% for TCBI. Malnutrition, defined by any of the included indices, showed added prognostic value when incorporated into a model and included preexisting prognostic factors (C-statistic: 0.711). However, defining malnutrition by the CONUT score yielded the most significant improvement in the prognostic predictive value (C-statistic: 0.721; p < 0.001).

CONCLUSION

Malnutrition is prevalent among elder patients with HF and confers increased mortality risk. Among the nutritional scores studied, the CONUT score was most effective in predicting the mortality risk.

CLINICAL TRIAL REGISTRATION

URL: ClinicalTrials.gov; Unique Identifier: NCT02664818.

Undernutrition was a prevalent clinical problem among older adult patients with heart failure in a hospital setting in Northwest Ethiopia

Background

Undernutrition is a frequently noticed medical problem in patients with heart failure. It is caused by poor nutrient intake, malabsorption, systemic inflammation, neurohumoral activation, oxidative stress, and hypermetabolic state. Undernutrition results in a decrease in the quality of life and the survival rate in patients with heart failure. There is a paucity of documentation on undernutrition among patients with heart failure in sub-Saharan African countries. The study aimed to determine the magnitude and associated factors of undernutrition among older adult patients with heart failure in the hospital setting in Northwest Ethiopia.

Methods

An institutional-based cross-sectional study was conducted at the University of Gondar Hospital, Northwest Ethiopia, between 1 June 2021 and 31 October 2021. A consecutive sampling method was used to recruit 262 study subjects. A Mini-nutritional assessment-full form (MNA-FL) Questionnaire was used to extract nutritional information among patients with heart failure. Patients with heart failure, who scored MNA-FL score &lt;17, were declared to have undernutrition. The data were entered into EPI Info version 4.6.0.0 and then exported to SPSS version 26 for analysis. Explanatory variables associated with undernutrition in patients with heart failure were analyzed by applying a logistic regression model. A P-value of &lt;0.05 was used to declare a significant association.

Results

A total of 262 patients with heart failure were included in the study. The mean age (± SD) of the study subjects was 64.6 (± 9.2) years. Hypertensive heart disease (111/262, 42%) was the most common cause of heart failure. Hypertension was the frequently observed comorbid disease. Based on the MNA-FL score for nutritional status, 75 out of 262 (28.6%, 95% CI: 22.9–34.4%) were undernourished (MNA-FL &lt; 17), while 124 out of 262 (47.3%, CI: 41.5–53.1%) were at risk of undernutrition (MNA-FL = 17–23.5). The remaining 63 out of 262 (24.1%, 95% CI: 18.2–29.8%) study subjects were well nourished (MNA-FL &gt; 24). On a multivariate analysis, patients with severe heart failure (New York Heart Association (NYHA) functional class III/IV) (AOR = 4.287, CI: 2.012–9.134, P-value &lt; 0.001), with a duration of illness of 3–5 years (AOR = 3.225, CI: 1.138–9.137, P-value = 0.028), with a duration of illness of &gt;5 years (AOR = 4.349, CI: 1.592–11.879, P-value = 0.001), presence of comorbidities (AOR = 2.29, CI: 1.06–4.96, P-value = 0.036), who underwent treatment with loop diuretics (AOR = 2.983, CI: 1.407–6.326, P-value = 0.040), and who reside in a rural area (AOR = 5.119, CI: 2.481–10.560, P-value &lt; 0.001) were at risk of developing undernutrition.

Conclusion

Undernutrition was a significant clinical problem in older patients with heart failure. Nutritional interventions should be prioritized for patients with chronic and severe heart failure.

Association of malnutrition with renal dysfunction and clinical outcome in patients with heart failure

Malnutrition, glomerular damage (GD), and renal tubular damage (RTD) are common morbidities associated with poor clinical outcomes in heart failure (HF) patients. However, the association between malnutrition and renal dysfunction and its impact on clinical outcomes in HF patients have not yet been fully elucidated. We assessed the nutritional status and renal function of 1061 consecutive HF patients. Malnutrition, GD, and RTD were defined as a controlling nutritional status (CONUT) score of ≥ 5, reduced eGFR or microalbuminuria, and levels of N-acetyl-beta-d-glucosamidase of > 14.2 U/gCr according to previous reports, respectively. Patients with RTD had a higher CONUT score and a lower prognostic nutritional index and geriatric nutritional risk index than those without. Multivariate logistic analysis demonstrated that RTD, but not GD, was significantly associated with malnutrition. There were 360 cardiac events during the median follow-up period of 688 days. Multivariate Cox proportional hazard regression analysis demonstrated that comorbid malnutrition and renal dysfunction, rather than simple malnutrition, were significantly associated with cardiac events in HF patients. We found a close relationship between malnutrition and renal dysfunction in HF patients. Comorbid malnutrition and renal dysfunction were risk factors for cardiac events in HF patients, suggesting the importance of managing and treating these.

Nutrition Assessment and Dietary Interventions in Heart Failure: JACC Review Topic of the Week

Despite the high prevalence of nutrition disorders in patients with heart failure (HF), major HF guidelines lack specific nutrition recommendations. Because of the lack of standardized definitions and assessment tools to quantify nutritional status, nutrition disorders are often missed in patients with HF. Additionally, a wide range of dietary interventions and overall dietary patterns have been studied in this population. The resulting evidence of benefit is, however, conflicting, making it challenging to determine which strategies are the most beneficial. In this document, we review the available nutritional status assessment tools for patients with HF. In addition, we appraise the current evidence for dietary interventions in HF, including sodium restriction, obesity, malnutrition, dietary patterns, and specific macronutrient and micronutrient supplementation. Furthermore, we discuss the feasibility and challenges associated with the implementation of multimodal nutrition interventions and delineate potential solutions to facilitate addressing nutrition in patients with HF.

Diagnostic performance of nutritional indicators in patients with heart failure

Aims

The aim of this study was to compare the diagnostic performance of the nutritional indicators, the mini nutritional assessment‐short form (MNA‐SF), the geriatric nutritional risk index (GNRI), and the controlling nutritional status (CONUT), in heart failure (HF) patients.

Methods and results

Nutritional status was prospectively assessed by the aforementioned three nutritional indicators in 150 outpatients with HF who were then followed for 1 year. The prevalence of patients with the nutritional risk as assessed by the MNA‐SF, GNRI, and CONUT scores was 50.0%, 13.3%, and 54.0%, respectively. There was slight agreement of nutritional risk assessment between the MNA‐SF and GNRI scores (κ coefficient = 0.16), as well as the GNRI and CONUT scores (κ = 0.11), but poor agreement between the MNA‐SF and CONUT scores (κ = −0.09). The CONUT score had the lowest area under the curve (AUC) for the identification of low body weight, low muscle mass, and low physical function among the three indicators (all P < 0.05). Compared with the MNA‐SF score, both the GNRI and CONUT scores had lower AUCs for the identification of reduced dietary intake and weight loss (all P < 0.05). There was no significant difference in predicting all‐cause mortality or HF rehospitalization among the three indicators. The prescription of statins reduced the diagnostic performance of the CONUT score, as the CONUT score includes cholesterol level assessment.

Conclusions

Of the three indicators, the diagnostic ability of the MNA‐SF score was the highest, and that of the CONUT score was the lowest, for the assessment of HF patient nutritional status. The CONUT score may misrepresent nutritional status, particularly in patients receiving statins.