What is the optimal nutritional assessment tool for predicting decline in the activity of daily living among older patients with heart failure?

Gut Microbiota as Predictive Biomarker for Chronic Heart Failure in Patients with Different Nutritional Risk

To examine the relationship between gut microbiota and disease development in chronic heart failure patients with different nutritional risk. The study analyzed stool samples from 62 CHF patients and 21 healthy peoples using 16S rRNA gene sequencing. CHF patients were separated into risk (n = 30) and non-risk group (n = 32) based on NRS2002 scores. Analysis methods used were LEfSe, random forest regression model, ROC curves, BugBase, PICRUSt2, metagenomeSeq. Risk group includes 11 cases of HFrEF, 6 cases of HFpEF, and 13 cases of HFmrEF. LefSe analysis confirmed that the risk group had higher levels of Enterobacter and Escherichia-Shigella. Correlation analysis revealed a negative correlation between prealbumin and Escherichia-Shigella. The presence of Enterobacter and Escherichia-Shigella worsens intestinal inflammation in CHF patients, impacting lysine metabolism by influencing its degradation metabolic function. This interference further disrupts albumin and prealbumin synthesis, leading to malnutrition in CHF patients and ultimately worsening the disease.

Association between changes in nutritional status and ability to perform activities of daily living in older patients with heart failure: A stratified analysis by frailty status

OBJECTIVES

We aimed to determine the association between changes in nutritional status and the activities of daily living (ADL) at discharge, considering frailty status of older patients with heart failure (HF).

METHODS

This study included 491 older inpatients with HF categorized into the following groups based on their clinical frailty scale (CFS) scores: low, intermediate, and high. Changes in nutritional status were assessed using the Controlling Nutritional Status score at admission and discharge. The outcome variable was Barthel Index (BI) at discharge.

RESULTS

Multivariate logistic regression analysis indicated an association between improvement in nutritional status and high BI at discharge in both the low and intermediate CFS groups (odds ratio [OR], 2.18 [95% confidence interval, 1.04-4.58]), (OR, 2.45 [1.21-4.95]), respectively.

CONCLUSIONS

Improvement in the ADL at discharge in older patients with HF was associated with improved nutritional status during hospitalization in the low and intermediate CFS groups.

Geriatric Nutritional Risk Index Predicts High Activities of Daily Living at Discharge in Older Patients with Heart Failure after Cardiac Rehabilitation

BACKGROUND

Hospitalization often leads to a decline in activities of daily living (ADL) in older patients with heart failure. Although cardiac rehabilitation (CR) improves ADL, it can be difficult to perform CR due to the deconditioning of these patients. This study aimed to examine the factors associated with ADL at discharge in older patients with heart failure who underwent CR.

METHODS

A total of 86 of 110 older heart failure patients aged ≥ 75 years (average age, 86.9 ± 5.7 years) transferred to our institution for CR were enrolled and classified into high ADL at discharge (n = 54) and low ADL at discharge (n = 32) groups. Physical characteristics, comorbidities, medications, blood test data, echocardiographic data, and nutritional status (Geriatric Nutritional Risk Index [GNRI]) were retrospectively examined from medical records. ADL were assessed using the Barthel Index (BI) at admission and discharge. Considering multicollinearity, the relationship between high ADL (BI ≥ 60) at discharge and these assessments at admission was analyzed using multiple logistic regression analysis. The receiver operating characteristic curve was analyzed to calculate the cutoff values for the parameters identified by the multiple logistic regression analysis.

RESULTS

The GNRI was the only independent factor predicting high ADL at discharge (p = 0.041; odds ratio [OR], 1.125; 95% confidence interval [CI], 1.005-1.260). The area under the receiver operating characteristic curve for the GNRI was 0.770 (95% CI, 0.664-0.876). The cutoff value for the GNRI was 83.4 (sensitivity, 85.2%; specificity, 62.5%).

CONCLUSION

These findings suggest that the GNRI score at admission predicts high ADL at discharge in older patients with heart failure who underwent CR.

Predictive Value of the Hemoglobin-Geriatric Nutritional Risk Index in Patients with Heart Failure

Malnutrition prevails among patients with heart failure (HF), increasing the likelihood of functional decline. We assessed the predictive value of the Hemoglobin-Geriatric Nutritional Risk Index (H-GNRI)—combining hemoglobin and the Geriatric Nutritional Risk Index (GNRI)—on prognosis in older patients with HF. We used the JMDC multicenter database to examine the potential associations between malnutrition risk and other outcome measures. The patients were categorized as low- (H-GNRI score = 2), intermediate- (H-GNRI score = 1), or high-risk (H-GNRI score = 0) based on their H-GNRI scores. The primary outcome measure was the Barthel Index (BI) gain; the secondary outcomes included the BI at discharge, the BI efficiency, length of hospital stay, in-hospital mortality, discharge to home or a nursing home, and hospitalization-associated disability. We analyzed 3532 patients, with 244 being low-risk, 952 being intermediate-risk, and 2336 being high-risk patients. The high-risk group of patients had significantly lower BI values at discharge, lower BI gains, reduced BI efficiency values, and prolonged hospital stays compared to those in the low-risk group. The high-risk patients also had higher in-hospital mortality rates, lower rates of discharge to home or a nursing home, and greater incidences of a hospitalization-associated disability in comparison to the low-risk group. The H-GNRI may serve as a valuable tool for determining prognoses for patients with HF.

Prealbumin level is a predictor of activities of daily living at discharge in older patients with heart failure who became ADL-independent after hospitalization: - Acute and early recovery cardiac rehabilitation trials

Chiba T, Yokota J, Takahashi R, Sasaki K, Suzuki H. Prealbumin level is a predictor of activities of daily living at discharge in older patients with heart failure who became ADL-independent after hospitalization - Acute and early recovery cardiac rehabilitation trials. Jpn J Compr Rehabil Sci 2023; 14: 69-77.

Objective

To determine the relationship between prealbumin level and activities of daily living (ADL) at discharge in patients with heart failure (HF) and assess the usefulness of prealbumin measurement in predicting discharge Barthel Index (BI) in older patients with HF who become non-independent in ADL after hospital admission.

Methods

Patients with HF, aged ≥75 years, who were admitted to an acute hospital and underwent acute and early recovery cardiac rehabilitation (CR) were studied retrospectively. The exclusion criteria were non-independent ADL before admission (BI < 85 points) and independent ADL at the start of CR (BI ≥ 85 points). The usefulness of prealbumin level in predicting discharge BI was compared between four models. Albumin and Controlling Nutritional Status (CONUT) were used as comparison variables. The models and independent variables were model 1 (covariates only), model 2 (prealbumin + covariates), model 3 (albumin + covariates), and model 4 (CONUT score + covariates). Adjusted R2, a measure of model fit, was used to compare predictive ability.

Results

A total of 152 patients were included in the analysis. Prealbumin level was a significant variable for BI at discharge but not albumin or CONUT. The adjusted R2 was higher in model 2 with the addition of prealbumin than that in model 1 (0.362 vs. 0.347).

Conclusion

Prealbumin levels are useful in predicting discharge BI in older patients with HF who become non-independent in ADL after hospitalization.

Combination of low muscle strength and malnutrition is associated with longer length of hospital stay among older patients with heart failure

BACKGROUND

Muscle strength and nutritional status are associated with length of hospital stay (LOHS) in older patients with heart failure (HF).

OBJECTIVES

The purpose of the study was to examine the association of the combination of muscle strength and nutritional status on LOHS in older patients with HF.

METHODS

This retrospective cohort study included 414 older inpatients with HF (men, 57.2%; median age, 81 years; interquartile range, 75-86 years). Patients were categorized into four groups according to their muscle strength and nutritional status: group 1, high muscle strength and normal nutritional status; group 2, low muscle strength and normal nutritional status; group 3, high muscle strength and malnutrition; and group 4, low muscle strength and malnutrition. The outcome variable was the LOHS, and an LOHS of >16 days was defined as long LOHS.

RESULTS

Multivariate logistic regression analysis adjusted for baseline characteristics (reference, group 1) showed that group 4 was associated with a more significant risk of long LOHS (odds ratio [OR], 3.54 [95% confidence interval, 1.85-6.78]). In the subgroup analysis, this relationship was maintained for the first admission HF group (OR, 4.65 [2.07-10.45]) but not for the HF readmission group (OR, 2.80 [0.72-10.90]).

CONCLUSIONS

Our results suggest that the long LOHS for older patients with HF at first admission was associated with a combination of low muscle strength and malnutrition but not by either factor individually.

Interpretations of the Role of Plasma Albumin in Prognostic Indices: A Literature Review

This review assesses how publications interpret factors that influence the serum or plasma albumin (PA) level in prognostic indices, focusing on inflammation and nutrition. On PubMed, a search for "albumin AND prognosis" yielded 23,919 results. From these records, prognostic indices were retrieved, and their names were used as search strings on PubMed. Indices found in 10 or more original research articles were included. The same search strings, restricted to "Review" or "Systematic review", retrieved yielded on the indices. The data comprised the 10 latest original research articles and up to 10 of the latest reviews. Thirty indices had 294 original research articles (6 covering two indices) and 131 reviews, most of which were from recent years. A total of 106 articles related the PA level to inflammation, and 136 related the PA level to nutrition. For the reviews, the equivalent numbers were 54 and 65. In conclusion, more publications mention the PA level as a marker of nutrition rather than inflammation. This is in contrast to several general reviews on albumin and nutritional guidelines, which state that the PA level is a marker of inflammation but not nutrition. Hypoalbuminemia should prompt clinicians to focus on the inflammatory aspects in their patients.

The Impact of Controlling Nutritional Status (CONUT) score on functional prognosis in hospitalized elderly patients with acute osteoporotic vertebral fractures

BACKGROUND

Nutritional status, which is associated with osteoporosis and muscle weakness is considered an important factor in the management of acute osteoporotic vertebral fracture (AOVF). However, few reports have investigated the nutritional status of hospitalized patients with AOVF and the impact of malnutrition on their functional prognosis. This study aimed to evaluate the nutritional status of hospitalized elderly patients with AOVF using the Controlling Nutritional Status (CONUT) score and to determine the usefulness of the CONUT score in predicting their functional prognosis.

METHODS

The CONUT score on admission was retrospectively calculated for 134 hospitalized elderly patients (mean age 83 ± 7.6 years, 66% female) with AOVF who received conservative treatment between 2017 and 2020. Functional outcome was assessed by comparing ambulatory ability before the onset of AOVF and upon discharge. Patients were divided into two groups: CONUT-high ( ≥ 4) and CONUT-low ( ≤ 3), according to receiver operating characteristic (ROC) analysis to predict decline in ambulatory ability upon discharge. Logistic regression analysis was performed to obtain odds ratios (OR) and 95% confidence intervals (CI) of the relationships between the nutritional status and ambulatory ability. The discriminative power of the CONUT score was then compared with other nutritional assessment tools such as the Geriatric Nutritional Risk Index (GNRI) and prognostic nutritional index (PNI) by ROC analysis.

RESULTS

81% of hospitalized patients with an AOVF were malnourished at the time of admission. The CONUT-high group had a significantly higher rate of decline in ambulatory ability (P < 0.001) than the CONUT-low group. Logistic regression analysis revealed the CONUT score ( ≥ 4) as an independent risk factor for a decline in ambulatory ability (OR 3.44, 95% CI 1.61-7.37, P = 0.0014). ROC analysis showed that the area under the curve (AUC) for the CONUT score (AUC = 0.724) was significantly greater than that for the GNRI (AUC = 0.624, P = 0.021) and PNI (AUC = 0.636, P = 0.0008).

CONCLUSIONS

This study showed that 81% of hospitalized elderly patients with AOVFs were malnourished and that the CONUT score was a useful predictive factor of functional prognosis.

The controlling nutritional status score and clinical outcomes in patients with heart failure: Pool analysis of observational studies

Background and aims

Malnutrition is very common in patients with heart failure (HF) and is associated with a worse clinical outcome. The Controlling Nutritional Status (CONUT) score is an easily derived index for the evaluation of malnutrition. This study aimed to evaluate the association between the CONUT score and the prognosis in patients with HF.

Methods and results

Electronic databases were searched for potential studies from inception up to February 15, 2022. Observational cohort studies included adult participants with HF, and reported the associations between the CONUT score and the adjusted relative risk (RR) of all-cause mortality, and patients with composite major adverse cardiac outcomes (MACEs) were included. We finally included 18 studies comprising 12,532 participants with HF for analysis. The median age of the patients was 70.5 years old, and 35.4% were women. After a median follow-up duration of 32.5 months, patients with HF with a higher CONUT score were associated with a higher risk of all-cause mortality (per 1 increment of the CONUT score: RR, 1.21, 95% CI, 1.13–1.29, I² = 68%, P for heterogeneity = 0.002) and MACEs (per 1 increment of the CONUT score: RR, 1.14, 95% CI, 1.06–1.23, I² = 81%, P for heterogeneity <0.0001) after adjusting for other prognostic factors. When the CONUT score was divided into the normal nutritional status and malnourished status, malnourished patients with HF were associated with increased risks of all-cause death (RR, 1.61, 95% CI, 1.40–1.85, I² = 17%, P for heterogeneity = 0.29) and MACEs (RR, 2.12, 95% CI, 1.49–3.02, I² = 87%, P for heterogeneity <0.0001), compared with those with normal nutritional status.

Conclusions

The CONUT score is associated with the clinical outcomes in patients with HF, and can be used as a screening tool of nutritional status in HF to improve prognosis.

Prognostic value of malnutrition evaluated using the Global Leadership Initiative on Malnutrition criteria and its association with psoas muscle volume in non-ischemic dilated cardiomyopathy

Heart failure (HF) is a systemic inflammatory disease that causes hypotrophy and skeletal muscle loss. The Global Leadership Initiative on Malnutrition (GLIM) criteria have been developed as a novel evaluation index for malnutrition, with reported usefulness in HF caused by ischemic heart disease. However, reports on the usefulness of malnutrition evaluated by the GLIM criteria in non-ischemic dilated cardiomyopathy (NIDCM) and its relationship with psoas muscle volume are lacking. We investigated the prognostic value of malnutrition evaluated using the GLIM criteria and its association with psoas muscle volume in patients with NIDCM. We enrolled 139 consecutive patients with NIDCM between December 2000 and June 2020. Malnutrition was evaluated using the GLIM criteria on admission. The median follow-up period was 4.7 years. Cardiac events were defined as a composite of cardiac death, hospitalization for worsening HF, and lethal arrhythmia. Furthermore, we measured the psoas muscle volume using computed tomography volumetry in 48 patients. At baseline, the median age was 50 years, and 132 patients (95.0%) had New York Heart Association functional class I or II HF. The median psoas muscle volume was 460.8 cm³. A total of 26 patients (18.7%) were malnourished according to the GLIM criteria. The Kaplan-Meier survival analysis showed that malnourished patients had more cardiac events than non-malnourished patients (log-rank, P < 0.001). The multivariate Cox proportional hazards regression analysis revealed that GLIM criteria-based malnutrition was an independent determinant of cardiac events (hazard ratio, 2.065; 95% confidence interval, 1.166-3.656; P = 0.014). Psoas muscle volume, which was assessed in a total of 48 patients, was lower in malnourished than in non-malnourished patients (median, 369.0 vs. 502.3 cm³; P = 0.035) and correlated with body mass index (r = 0.441; P = 0.002). Nutritional screening using the GLIM criteria may be useful in predicting future cardiac events in patients with NIDCM, reflecting a potential relationship between malnutrition and a low psoas muscle volume.