Handgrip strength in patients with acute decompensated heart failure: Accuracy as a predictor of malnutrition and prognostic value

Inspiratory muscle endurance is similarly reduced in the early and late stages of chronic Chagas heart disease

OBJECTIVE

Inspiratory muscle strength (IMS) appears to be reduced in subjects with chronic Chagas heart disease (CHD), especially in the presence of heart failure (HF). However, only one study about IMS and inspiratory muscle endurance (IME) in those with CHD without heart failure is available. This study aimed to compare IMS and IME in subjects with CHD in the presence and absence of HF.

METHODS

This is a cross-sectional study in which 30 CHD adult patients were divided into CHD-CC group (initial phase of CHD, without HF; n = 15) and CHD-HF group (advanced phase of CHD, with HF; n = 15). We assessed IMS by maximum inspiratory pressure (MIP) and IME by incremental (Pthmax) and constant load (TLim) tests. Reduced IMS and IME were considered by predicted MIP values <70% and Pthmax/MIP <75%, respectively.

RESULTS

Inspiratory muscle weakness (IMW) was more frequent in CHD-HF than in CHD-CC (46.7% vs. 13.3%; p = 0.05), and both groups had high frequencies of reduced IME (93.3% CHD-CC vs. 100.0% CHD-HF; p = 0.95). Age-adjusted logistic regression analysis using HF as a dependent variable showed that HF was associated with an increased chance of IMW compared with the CHD-CC group (OR = 7.47; p = 0.03; 95% CI 1.20-46.19).

CONCLUSION

This study suggests that, in patients with CHD, HF is associated with IMW, and that reduction of IME is already present in the initial phase, similar to the advanced phase with HF.

Causal relationship between nutritional assessment phenotypes and heart failure: A Mendelian randomization study

Introduction

Malnutrition is strongly associated with heart failure (HF); however, the causal link remains unclear. We used Mendelian randomization (MR) to infer causal associations between different nutritional assessment phenotypes and HF and to analyze whether these associations were mediated by common HF risk factors.

Methods

Two-sample bidirectional MR was used to infer causal associations between nutritional assessment phenotypes and HF. Mutual influences between different nutritional assessment phenotypes and potential correlations were estimated using multivariate MR methods. Two-step MR was used to quantify the mediating effects of common HF risk factors on the causal associations.

Results

Three phenotypes were positively associated with the development of HF: waist circumference (WC) (odds ratio [OR] = 1.74; 95% confidence interval [CI], 1.60-1.90; P = 3.95 × 10-39), body mass index (BMI) (OR = 1.70; 95%CI, 1.60-1.80; P = 1.35 × 10-73), and whole body fat mass (WBFM) (OR = 1.54; 95%CI, 1.44-1.65; P = 4.82 × 10-37). Multivariate MR indicated that WBFM remained positively associated with HF after conditioning on BMI and WC (OR = 2.05; 95%CI, 1.27-3.31; P = 0.003). Three phenotypes were negatively correlated with the development of HF: usual walking pace (UWP) (OR = 0.40; 95%CI, 0.27-0.60; P = 8.41 × 10-6), educational attainment (EA) (OR = 0.73; 95%CI, 0.67-0.79; P = 2.27 × 10-13), and total cholesterol (TC) (OR = 0.90; 95%CI, 0.84-0.96; P = 4.22 × 10-3). There was a bidirectional causality between HF and UWP (Effect estimate = -0.03; 95%CI, -0.05 to -0.01; P = 1.95 × 10-3). Mediation analysis showed that common risk factors for HF (hypertension, coronary artery disease, cardiomyopathy, and valvular heart disease) mediated these causal associations (all P < 0.05).

Conclusions

BMI, WC, and WBFM are potential risk factors for HF, and the correlation between WBFM and HF was significantly stronger than that between BMI and WC, and HF. EA, UWP, and TC are potential protective factors against HF. Common risk factors for HF mediate these causal pathways. Early identification of potential risk or protective factors for HF patients from the dimension of nutritional status is expected to further improve patient outcomes.

Predictive value of Global Leadership Initiative on Malnutrition criteria combined with handgrip strength for postoperative outcomes in overweight colorectal cancer patients

BACKGROUND AND AIM

The Global Leadership Initiative on Malnutrition (GLIM) criteria are increasingly used to assess the nutritional status of hospitalized patients and predict the prognosis of patients with malignant tumors; however, malnutrition is often overlooked in overweight individuals, such as colorectal cancer patients. This study aimed to investigate the predictive value of the GLIM criteria combined with handgrip strength (HGS) in overweight colorectal cancer patients.

METHODS

This retrospective study enrolled overweight patients who underwent radical resection for colorectal cancer at two centers between 2015 and 2021. Malnutrition was diagnosed based on the GLIM criteria. Skeletal muscle mass was assessed using the skeletal muscle index, and skeletal muscle function was assessed using the HGS test. The risk factors for complications and survival were also evaluated.

RESULTS

A total of 850 patients were enrolled in the study. The incidence of malnutrition in the GLIM and HGS-GLIM groups was 12.4% and 6.4%, respectively. The incidence of total complications in both the malnutrition groups was significantly higher than that in the control group. Patients in the HGS-GLIM-malnutrition group had worse overall survival and disease-free survival. HGS-GLIM was independently associated with postoperative complications (P = 0.046), overall survival (P = 0.037), and disease-free survival (P = 0.047).

CONCLUSION

The GLIM criteria combined with the HGS test is an effective tool for diagnosing malnutrition. Particularly, these modalities are applicable in overweight colorectal cancer patients. Compared with the standard GLIM criteria, this tool has a better predictive value for postoperative complications and long-term survival.

Handgrip strength and the prognosis of patients with heart failure: A meta-analysis

BACKGROUND

Reduced muscular strength is common in patients with heart failure (HF). The aim of the systematic review and meta-analysis was to evaluate the association between handgrip strength (HGS) and prognosis of patients with HF.

HYPOTHESIS

Reduced HGS may be a risk factor of poor prognosis of patients with HF.

METHODS

Relevant observational studies with longitudinal follow-up were obtained by a comprehensive search of PubMed, Embase, Cochrane Library, and Web of Science databases. A random-effects model was used to pool the results.

RESULTS

Fifteen studies involving 7350 patients with HF were included in the meta-analysis. Pooled results showed that HF patients with lower HGS were associated with a higher risk of mortality during follow-up (risk ratio [RR]: 2.00, 95% confidence interval [CI]: 1.55-2.58, p < .001; I2  = 0%). Subgroup analysis showed that the association was not significantly affected by characteristics such as study country, design, mean age of the patients, HF status (stable or advanced/acute), HF type (reduced or preserved ejection fraction), follow-up duration, and quality score (p for subgroup difference all > 0.05). Further analysis showed that per 1 kgf decrease of HGS was associated with an 8% increased risk of mortality during follow-up (RR: 1.08, 95% CI: 1.05-1.11, p < .001; I2  = 12%). Moreover, HF patients with lower HGS were also related to a higher risk of composite outcome of HF rehospitalization or mortality (RR: 1.67, 95% CI: 1.19-2.35, p = .003; I2  = 53%).

CONCLUSION

A low HGS may be associated with poor clinical outcomes of patients with HF.