Geriatric nutritional risk index predicts all-cause mortality in the oldest-old patients with acute coronary syndrome: A 10-year cohort study

Impact of geriatric nutritional risk index on clinical outcomes in acute coronary syndrome patients: a comprehensive meta-analysis

BACKGROUND

The Geriatric Nutritional Risk Index (GNRI), derived from serum albumin levels and body weight relative to ideal body weight, is a novel tool for assessing nutritional status. This meta-analysis explored the association between GNRI and the clinical outcomes in patients with acute coronary syndrome (ACS).

METHODS

We systematically searched PubMed, Embase, and Web of Science for studies evaluating the GNRI in patients with ACS. Inclusion criteria were observational studies reporting all-cause mortality or major adverse cardiovascular events (MACEs) among ACS patients categorized by low versus normal GNRI. Data extraction and quality assessment were independently performed by two authors, utilizing a random-effects model to account for potential heterogeneity.

RESULTS

Eleven cohort studies, encompassing 18 616 patients with ACS, were included. A low GNRI was associated with significantly increased risks of all-cause mortality (RR, 1.95; 95% CI, 1.63-2.34; P < 0.001; I² = 32%) and MACEs (RR, 1.93; 95% CI, 1.62-2.29; P < 0.001; I² = 25%). Subgroup analyses for the all-cause mortality outcome showed consistent findings across varied study designs, patient demographics, and follow-up periods (P for subgroup differences all >0.05). Sensitivity analyses conducted by sequentially excluding individual studies confirmed the stability of these results.

CONCLUSION

A low GNRI at the time of admission is a significant predictor of increased all-cause mortality and MACEs in patients with ACS.

Predictive value of geriatric nutritional risk indexes for hospital readmission and mortality in older patients

The Geriatric Nutritional Risk Index (GNRI) plays a crucial role in assessing nutritional status and predicting clinical outcomes in older patients. This study explores the GNRI as a prognostic tool for clinical outcomes in older inpatients. Spanning from August 2013 to December 2020, the research involved 573 older patients at Tianjin Third Central Hospital, China. The study assessed the association of GNRI with 6-month hospital readmission and 3-year all-cause mortality rates. Our findings reveal that higher GNRI scores significantly correlate with reduced hospital readmissions and mortality, underscoring the utility of GNRI in predicting clinical outcomes and guiding interventions in geriatric care. The study highlights the potential of integrating GNRI assessments into routine clinical evaluations to enhance patient care and optimize resource utilization in healthcare settings.

The Association Between Geriatric Nutritional Risk Index and Readmission Within Six Months in Elderly Heart Failure Patients: A Retrospective Cohort Study: Geriatric Nutritional Risk Index for Heart Failure Readmission Within 6 Months

Background: The geriatric nutritional risk index (GNRI) is a valuable tool that may predict the prognosis of elderly patients with heart failure (HF). Malnutrition and low GNRI scores have been associated with a higher risk of hospitalization and mortality. This study aimed to investigate the association between GNRI and 6-month readmission for HF in elderly Chinese patients. Materials and Methods: The study utilized data from hospitalized HF patients by combining electronic medical records from the PhysioNet restricted health data database with external outcome data. In our study, we used the GNRI as the independent variable and assessed its association with the risk of readmission within 6 months. The main analytical methods were multivariable Cox regression, stratified analysis with interaction, threshold effect analysis, and Kaplan-Meier survival curves. Results: This study involved 767 elderly HF patients, 61.3% of whom had malnutrition. In the threshold analysis, HF patients' 6-month readmission risk was significantly reduced with increasing GNRI, with a hazard ratio (HR) and 95% confidence interval (CI) of 0.99 (0.97.1). Malnutrition group was associated with a higher risk of readmission within 6 months for HF patients in analyses that were controlled for confounding factors, with HRs and their 95% CI of 1.17 (0.99, 1.38), 1.18 (1, 1.4), and 1.44 (1.08,1.93), respectively. Subgroup analysis showed that GNRI levels had a consistent impact on outcome events, unaffected by covariates. Conclusions: GNRI was negatively correlated with the outcome event of readmission within 6 months in elderly HF patients. Malnutrition group showed a higher risk of readmission within 6 months.

Serum Albumin-to-Creatinine Ratio Predicts One-Year Mortality in Elderly Patients with Non-ST-Elevation Acute Coronary Syndrome After Percutaneous Coronary Intervention: A Prospective Cohort Analysis

BACKGROUND Recently, the albumin-to-creatinine ratio (ACR) has been suggested as a valuable biomarker for adverse events in acute myocardial infarction. However, the prognostic value of ACR in very elderly patients (≥80 years) with non-ST-elevation acute coronary syndrome (NSTE-ACS) after percutaneous coronary intervention (PCI) remains unclear. MATERIAL AND METHODS A total of 354 very elderly patients with NSTE-ACS who underwent PCI were included in this study and followed up for 1 year. Patients were divided into 3 groups according to ACR tertiles. Logistic regression analysis proportional hazard model was used to determine the prognostic value of ACR. RESULTS Sixty-two patients (17.5%) with 114 major adverse cardiovascular and cerebrovascular events (MACCEs) were recorded during 1-year follow-up. Patients with lower ACR tended to be older and had a lower serum albumin level and higher uric acid and creatinine levels (P<0.05). Moreover, patients with lower ACR levels had elevated all-cause mortality and MACCEs. Kaplan-Meier analysis suggested that patients with a lower ACR had a significantly lower survival rate free of all-cause mortality and MACCEs. Multivariable logistic regression analysis demonstrated that ACR was an independent predictor of all-cause mortality in these patients. ROC analysis showed that when ACR was ≤42.8, sensitivity and specificity were 75.2% and 80.2%, respectively, and the area under the ROC curve was 0.802 (95% CI: 0.745-0.859; P<0.001). CONCLUSIONS A lower ACR was associated with a higher incidence of all-cause mortality in very elderly patients with NSTE-ACS after PCI. The ACR is a promising indicator for risk stratification and prognostic assessment in these individuals.

Advanced Lung Cancer Inflammation Index as Predictor of All-Cause Mortality in ST-Elevation Myocardial Infarction Patients Undergoing Primary Percutaneous Coronary Intervention

Background: The advanced lung cancer inflammation index (ALI) is an independent prognostic biomarker used to assess inflammation and nutritional status in various cancers, heart failure, and acute coronary syndromes. This study investigates the prognostic significance of ALI in patients experiencing ST-elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (pPCI), comparing its predictive abilities with the established Neutrophil-Lymphocyte Ratio (NLR). Methods: We conducted a retrospective analysis of 1171 patients from the Matrix Registry, encompassing demographic and clinical data for STEMI cases treated with pPCI, and ALI was determined using the formula [serum albumin (g/dL) × body mass index (kg/m2)]/NLR at the time of hospital admission. The primary outcome was all-cause mortality. Results: Of the 1171 patients, 86 died during the follow-up period. Univariate analysis identified age, female gender, smoking, hypertension, diabetes, prior myocardial infarction (PMI), lower left ventricular ejection fraction (LVEF), and reduced ALI as factors associated with mortality. Multivariate analysis confirmed age (HR: 1.1, 95% CI: 1.05-1.11, p < 0.001) and PMI (HR: 2.4, 95% CI: 1.4-4.3, p = 0.001) as prominent independent predictors, alongside ALI (HR: 0.95, 95% CI: 0.92-0.97, p < 0.001) and LVEF (HR: 0.98, 95% CI: 0.97-0.99, p = 0.04). An ALI cut-off of ≤10 indicated a higher mortality risk (HR: 2.3, 95% CI: 1.5-3.7, p < 0.001). The area under the curve for ALI (0.732) surpassed that for NLR (0.685), demonstrating ALI's superior predictive capability. Conclusions: ALI is an independent prognostic factor for all-cause mortality in STEMI patients undergoing pPCI, showing greater discriminatory power than NLR, particularly in patients with ALI values ≤ 10, who face a 2.3-fold higher mortality risk.

Association of adipose tissue inflammation and physical fitness in older adults

An active lifestyle is of key importance for reduction of obesity and inflammation, as well as circulating levels of adipokines. Therefore, the aim of our study was to assess the relationship of physical fitness with chronic inflammatory status, and to evaluate biomarkers useful in the analysis of adipose tissue dysfunction. Sixty-three older adults (69.6 ± 5.1 years) were allocated to a high n = 31 (women n = 23 and men n = 8 male) or low physical fitness n = 32 (women n = 29 and men n = 3) group based on gait speed values (1.4-1.8 m/s or ≤ 1.3 m/s). The gait speed correlated with hand grip strength (rs = 0.493, p = 0.0001) and with leptin level (R = -0.372, p = 0.003), which shows the benefits of physical activity on muscle strength and circulating adipokines. In low physical fitness group, 58.1% individuals had adiponectin to leptin ratio (Adpn/Lep) < 0.5 revealing dysfunction of adipose tissue and high cardiometabolic risk; 20% of the group were obese with BMI ≥ 30 kg/m2. In high physical fitness group, 25.8% of individuals had Adpn/Lep ≥ 1.0 i.e., within the reference range. Markers of systemic inflammation were significantly related to physical fitness: CRP/gait speed (rs = -0.377) and HMGB-1/gait speed (rs = -0.264). The results of the ROC analysis for Adpn (AUC = 0.526), Lep (AUC = 0.745) and HMGB-1 (AUC = 0.689) indicated their diagnostic potential for clinical prognosis in older patients. The optimal threshold values corresponded to 1.2 μg/mL for Adpn (sensitivity 74.2%, specificity 41.9%, OR = 1.4, 95%Cl 0.488-3.902), 6.7 ng/mL for Lep (sensitivity 56.2%, specificity 93.5%, OR = 14.8, 95%Cl 3.574-112.229), 2.63 mg/L for CRP (sensitivity 51.6%, specificity 84.3%, OR = 4.4, 95% Cl 1.401- 16.063) and 34.2 ng/mL for HMGB-1 (sensitivity 62.0%, specificity 86.6%, OR = 12.0, 95%Cl 3.254-61.614). The highest sensitivity and specificity were observed for Leptin and HMGB-1. The study revealed changes in inflammatory status in older adults at various levels of physical fitness and demonstrated diagnostic usefulness of adipokines in the assessment of adipose tissue inflammation.

Negative Association of GNRI with All-Cause Mortality in Chinese Atrial Fibrillation Patients: A Multicenter Retrospective Cohort Study

INTRODUCTION

Malnutrition is common in older atrial fibrillation (AF) patients and results in poor clinical outcomes. The Geriatric Nutritional Risk Index (GNRI) is a straightforward method for evaluating nutritional health. However, its prognostic value in AF patients is unclear. This research focused on examining the correlation between GNRI and overall mortality in Chinese individuals with AF.

METHODS

We performed a multicenter retrospective study at four Chinese hospitals involving patients diagnosed with AF between January 2019 and August 2023. Using GNRI, nutritional status was evaluated, classifying patients into three categories. Multivariable logistic regression and restricted cubic spline analysis assess the relationship between GNRI and mortality, with exploratory subgroup analyses investigating potential effect modifiers.

RESULTS

The study included 4,878 AF patients with a median follow-up of 19 months. The mean age was 71 (63-78), and the mean GNRI was 102 (95-108). Malnutrition was identified in 1,776 patients (36.41%). During the study, 419 (8.59%) deaths occurred. After controlling for confounders, moderate to severe malnutrition was linked to an increased risk of all-cause mortality compared to no malnutrition (odds ratio 1.50; 95% CI, 1.17-1.94). The relationship between GNRI and mortality risk was approximately linear, with consistent associations across subgroups.

CONCLUSION

Malnutrition, as assessed by GNRI, is prevalent among Chinese AF patients and is independently linked to higher all-cause mortality risk.

Combined effect of inflammation and malnutrition for long-term prognosis in patients with acute coronary syndrome undergoing percutaneous coronary intervention: a cohort study

BACKGROUND

Inflammation is a key driver of atherosclerotic diseases and is often accompanied by disease-related malnutrition. However, the long-term burden of dysregulated inflammation with superimposed undernutrition in patients with acute coronary syndrome (ACS) remains unclear. This study sought to investigate the double burden and interplay of inflammation and malnutrition in patients with ACS undergoing percutaneous Coronary Intervention (PCI).

METHODS

We retrospectively included 1,743 ACS patients undergoing PCI from June 2016 through November 2017 and grouped them according to their baseline nutritional and inflammatory status. Malnutrition was determined using the nutritional risk index (NRI) with a score lower than 100 and a high-inflamed condition defined as hs-CRP over 2 mg/L. The primary outcome was major adverse cardiovascular events (MACEs), compositing of cardiac mortality, non-fatal myocardial infarction, non-fatal stroke, and unplanned revascularization. Long-term outcomes were examined using the Kaplan-Meier method and compared with the log-rank test. Multivariable Cox proportional hazards regression analysis was applied to adjust for confounding. The reclassification index (NRI)/integrated discrimination index (IDI) statistics estimated the incremental prognostic impact of NRI and hs-CRP in addition to the Global Registry of Acute Coronary Events (GRACE) risk score.

RESULTS

During a median follow-up of 30 months (ranges 30-36 months), 351 (20.1%) MACEs occurred. Compared with the nourished and uninflamed group, the malnourished and high-inflamed group displayed a significantly increased risk of MACEs with an adjusted hazard ratio of 2.446 (95% CI: 1.464-4.089; P < 0.001). The prognostic implications of NRI were influenced by patients' baseline inflammatory status, as it was only associated with MACEs among those high-inflamed (P for interaction = 0.005). Incorporating NRI and hs-CRP into the GRACE risk score significantly improved its predictive ability for MACEs (NRI: 0.210, P < 0.001; integrated discrimination index; IDI: 0.010, P < 0.001) and cardiac death (NRI: 0.666, P < 0.001; IDI: 0.023, P = 0.002).

CONCLUSIONS

Among patients with ACS undergoing PCI, the double burden of inflammation and malnutrition signifies poorer outcomes. Their prognostic implications may be amplified by each other and jointly improve the GRACE risk score's risk prediction performance.

Prognostic value of geriatric nutritional risk index in patients with stable coronary artery disease undergoing percutaneous coronary intervention

BACKGROUND

Malnutrition increases the risk of poor prognosis in patients with cardiovascular disease, and our current research was designed to assess the predictive performance of the Geriatric Nutrition Risk Index (GNRI) for the occurrence of poor prognosis after percutaneous coronary intervention (PCI) in patients with stable coronary artery disease (SCAD) and to explore possible thresholds for nutritional intervention.

METHODS

This study retrospectively enrolled newly diagnosed SCAD patients treated with elective PCI from 2014 to 2017 at Shinonoi General Hospital, with all-cause death as the main follow-up endpoint. Cox regression analysis and restricted cubic spline (RCS) regression analysis were used to explore the association of GNRI with all-cause death risk and its shape. Receiver operating characteristic curve (ROC) analysis and piecewise linear regression analysis were used to evaluate the predictive performance of GNRI level at admission on all-cause death in SCAD patients after PCI and to explore possible nutritional intervention threshold points.

RESULTS

The incidence of all-cause death was 40.47/1000 person-years after a mean follow-up of 2.18 years for 204 subjects. Kaplan-Meier curves revealed that subjects at risk of malnutrition had a higher all-cause death risk. In multivariate Cox regression analysis, each unit increase in GNRI reduced the all-cause death risk by 14% (HR 0.86, 95% CI 0.77, 0.95), and subjects in the GNRI > 98 group had a significantly lower risk of death compared to those in the GNRI < 98 group (HR 0.04, 95% CI 0.00, 0.89). ROC analysis showed that the baseline GNRI had a very high predictive performance for all-cause death (AUC = 0.8844), and the predictive threshold was 98.62; additionally, in the RCS regression analysis and piecewise linear regression analysis we found that the threshold point for the GNRI-related all-cause death risk was 98.28 and the risk will be significantly reduced when the subjects' baseline GNRI was greater than 98.28.

CONCLUSIONS

GNRI level at admission was an independent predictor of all-cause death in SCAD patients after PCI, and GNRI equal to 98.28 may be a useful threshold for nutritional intervention in SCAD patients treated with PCI.

Quality of life and socio-demographic factors associated with nutritional risk in Brazilian community-dwelling individuals aged 80 and over: cluster analysis and ensemble methods

Introduction

The aim of the present study was to use cluster analysis and ensemble methods to evaluate the association between quality of life, socio-demographic factors to predict nutritional risk in community-dwelling Brazilians aged 80 and over.

Methods

This cross-sectional study included 104 individuals, both sexes, from different community locations. Firstly, the participants answered the sociodemographic questionnaire, and were sampled for anthropometric data. Subsequently, the Mini-Mental State Examination (MMSE) was applied, and Mini Nutritional Assessment Questionnaire (MAN) was used to evaluate their nutritional status. Finally, quality of life (QoL) was assessed by a brief version of World Health Organizations' Quality of Life (WHOQOL-BREF) questionnaire and its older adults' version (WHOQOL-OLD).

Results

The K-means algorithm was used to identify clusters of individuals regarding quality-of-life characteristics. In addition, Random Forest (RF) and eXtreme Gradient Boosting (XGBoost) algorithms were used to predict nutritional risk. Four major clusters were derived. Although there was a higher proportion of individuals aged 80 and over with nutritional risk in cluster 2 and a lower proportion in cluster 3, there was no statistically significant association. Cluster 1 showed the highest scores for psychological, social, and environmental domains, while cluster 4 exhibited the worst scores for the social and environmental domains of WHOQOL-BREF and for autonomy, past, present, and future activities, and intimacy of WHOQOL-OLD.

Conclusion

Handgrip, household income, and MMSE were the most important predictors of nutritional. On the other hand, sex, self-reported health, and number of teeth showed the lowest levels of influence in the construction of models to evaluate nutritional risk. Taken together, there was no association between clusters based on quality-of-life domains and nutritional risk, however, predictive models can be used as a complementary tool to evaluate nutritional risk in individuals aged 80 and over.

The Prognostic Value of Geriatric Nutritional Risk Index in Evaluating Rehospitalization and One-Year Mortality in Patients With Heart Failure

BACKGROUND

Malnutrition is frequently observed in patients with heart failure, and malnutrition causes poor prognosis in these patients. Various calculation tools are used to assess malnutrition, with the geriatric nutritional risk index (GNRI) being one that is frequently used. In our study, we aimed to investigate the value of GNRI in assessing one-year mortality and rehospitalization in patients with heart failure.

METHOD

A total of 196 patients aged 60 years and older were included in this retrospective study. A GNRI ≤ 98 was defined as malnutrition. Patients were divided into two groups: GNRI ≤ 98 (malnutrition) and GNRI > 98 (non-malnutrition). Rehospitalization due to heart failure and mortality were compared between both groups in the one-year follow-up.

RESULTS

The duration of hospitalization was significantly lower in the malnourished group compared to the non-malnutrition group (11.5 ± 7.5 days vs. 20.9 ± 16.3 days). All-cause mortality was significantly higher in the malnutrition group (30.8% vs. 18.1, p = 0.045). Risk factors were evaluated to predict all-cause death by Cox regression analysis, and GNRI (hazard ratio (HR) = 0.968; 95%CI: 0.942-0.995; p = 0.018) was associated with all-cause mortality.

CONCLUSIONS

GNRI, which is used as an indicator of malnutrition, is associated with all-cause mortality at one-year follow-up. Higher mortality was observed in the group with low GNRI, but it was observed that this group was hospitalized for less time due to heart failure.