The Geriatric Nutritional Risk Index

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.

Nonlinear Association Between Geriatric Nutritional Risk Index and Cardiovascular Disease in the Elderly Based on the NHANES Database

There is growing evidence that body nutritional status influences the development of cardiovascular disease, particularly in the elderly population. The Geriatric Nutritional Risk Index (GNRI), as a tool for assessing the nutritional status and nutritional risk of elderly individuals, is applied in clinical practice. This study aimed to elucidate the relationship between GNRI and cardiovascular disease in the elderly and to assess the impact of nutritional status on cardiovascular disease.This study is a cross-sectional study based on the National Health and Nutrition Examination Survey (NHANES) database. The data for this investigation were obtained from the NHANES database from 2007 to 2018, which included 10,277 individuals aged 60 years and older. The relationship between GNRI and cardiovascular disease in the elderly was investigated using weighted multivariable logistic regression models, and smooth fitting curves were drawn to explore their association. In addition, subgroup analyses were used to explore population differences.In this study, after adjusting for all confounding variables, the odds ratio and 95% confidence intervals (CI) of the model were 0.98 (0.96, 1.00), with no statistically significant association. Smooth fitting curves showed a nonlinear correlation between GNRI and cardiovascular disease. We found an inflection point (GNRI = 139.55). Moreover, GNRI was negatively associated with cardiovascular disease in the elderly before the inflection point and not statistically significant after the inflection point.In this large cross-sectional study, we found a nonlinear correlation between GNRI and cardiovascular disease in the general elderly population in the United States.

Association between the geriatric nutritional risk index and postoperative delirium in gastric surgery patients: an analysis of the MIMIC-IV database

BACKGROUND

This study explores the correlation between nutritional status, as determined by the Geriatric Nutritional Risk Index (GNRI), and the incidence of postoperative delirium (POD) in patients undergoing gastric surgery.

METHODS

Data were obtained from the MIMIC-IV 2.2 database for patients aged 18 years or older who underwent gastric surgery. Patients were categorized into the malnourished group (GNRI < 98) and the non-malnourished group (GNRI ≥ 98). Multivariable logistic regression was performed to assess the association between GNRI and POD, and various potential confounders were adjusted to ensure the robustness of the results. Non-linear relationships between GNRI and POD risk were evaluated through restricted cubic spline (RCS) analysis. Subgroup analyses were conducted to examine the effect of GNRI on POD across different patient categories, and interactions were calculated. Propensity score matching (PSM) was employed to reduce confounding bias.

RESULTS

The study included a total of 4,818 patients, of whom 1,133 (23.5%) developed POD. Patients with a GNRI < 98 had a significantly higher risk of POD compared with those with a GNRI ≥ 98 (odds ratio (OR): 2.21, 95% confidence interval (CI): 1.93-2.53, p < 0.001). Even after adjustment for relevant confounders, GNRI remained significantly associated with POD (OR:1.24, 95% CI: 1.04-1.48, p < 0.001). This association was further supported by the results from PSM (OR:1.23, 95% CI: 1.01-1.51, p = 0.045). RCS analysis demonstrated a non-linear relationship between GNRI and POD risk (p < 0.05). Subgroup analyses revealed significant interactions within the cardiovascular disease, renal replacement therapy, benzodiazepine medication, and vasoactive drug subgroups (p for interaction < 0.05). After the patient population was adjusted to individuals aged 65 and older, this correlation remained significant (p for interaction < 0.05).

CONCLUSIONS

This study identifies a significant association between GNRI and the incidence of POD in patients undergoing gastric surgery. Improving nutritional status before surgery may lower the risk of developing POD.

Association of geriatric nutritional risk index with total testosterone in elderly adults in the US: evidence from NHANES 2011-2016

Background and objectives

There is growing evidence that deficiencies in specific nutrients can impact testosterone levels in older men. However, research examining the predictive value of overall nutritional status on testosterone levels remains limited. The Geriatric Nutritional Risk Index (GNRI) is an effective tool for assessing the nutritional status of the elderly. Therefore, this study aimed to investigate the potential correlation between the GNRI and serum total testosterone (TT).

Methods

A representative sample of U.S. males aged 60 years and older who participated in the National Health and Nutrition Examination Survey (NHANES) cycles from 2011 to 2016 was utilized for this cross-sectional study. The research included a total of 829 older adults. Tandem mass spectrometry and liquid chromatography were employed to quantify TT. To examine the association between GNRI and TT, restricted cubic splines (RCS) and weighted multivariate regression analyses were conducted. Subgroup analysis was performed to identify the variables influencing the positive association between GNRI and TT. Additionally, a sensitivity analysis was carried out to compare the weighted and unweighted data.

Results

After adjusting for all other factors, a positive association was found between GNRI and TT. The beta coefficient was 5.59, with a 95% confidence interval of 2.16 to 9.01, and a p-value of 0.003. Compared to the lowest quartile of GNRI (Q1), the second quartile (Q2), third quartile (Q3), and fourth quartile (Q4) significantly increased the level of TT. The beta coefficients for Q2, Q3, and Q4 were 70.15 (p = 0.022), 104.40 (p < 0.001), and 84.83 (p < 0.001), respectively. In subgroup analyses, statistically significant associations were observed among participants who did not have diabetes, had hypertension, and had a BMI of 24.9 or less. According to the sensitivity analysis, unweighted data also found GNRI to be associated with TT (beta = 3.09, P = 0.031).

Conclusion

A positive correlation was identified between the GNRI and TT in the elderly male population of the United States. Further prospective studies with larger sample sizes are needed to confirm the causal relationship between GNRI and TT.

Association between malnutrition risk and the prognosis of geriatric heart failure patients undergoing left ventricular assist device implantation

BACKGROUND

Evidence regarding the association between malnutrition risk and the prognosis of geriatric heart failure (HF) patients undergoing left ventricular assist device (LVAD) implantation is lacking. Our study aims to investigate how malnutrition risk, assessed using the geriatric nutritional risk index (GNRI) values, relates to the outcomes of geriatric HF patients undergoing LVAD, using data from the Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS) registry.

METHODS

A retrospective analysis was conducted using data from INTERMACS registry. Patients aged 65 and above who received LVAD implantation between 2008 and 2017 were included. The GNRI was used to stratify patients into three groups: absence of risk (GNRI > 98), mild risk (GNRI 92-98), and moderate to severe risk (GNRI < 92). The primary outcome was long-term survival for up to four years following LVAD implantation.

RESULTS

We included 5429 patients aged 65 and above undergoing LVADs. The malnutrition risk was presented in 75.8% of the patients before implantation, decreasing to 32.4% at 3 months, and 59.5% at 24 months post-implantation. Moderate-to-severe malnutrition risk, both pre-implant and 6 months post-implant, was associated with an increased risk of death (pre-implant: hazard ratio (HR): 1.25 [95% CI: 1.12-1.40], p < 0.001; 6 months: HR: 2.36 [95% CI: 2.01-2.77], p < 0.001). Mortality decreased with increasing pre-implant GNRI up to approximately 100 and 6-month post-implant GNRI up to 104. Patients with malnutrition risk also had an increased risk of infection, poor quality of life (QoL), and reduced functional exercise capacity after the LVAD implantation.

CONCLUSIONS

Malnutrition risk was highly prevalent in HF patients aged 65 and above undergoing LVADs implantation. The presence of malnutrition risk was associated with an increased risk of death, infection, poor quality of life, and reduced functional exercise capacity.

Assessing the predictive power of nutritional indices on all-cause and cardiovascular mortality in hemodialysis patients: a longitudinal study

BACKGROUND AND HYPOTHESIS

The prognostic value of nutritional scoring tools in assessing the relationship between nutritional status and prognosis in hemodialysis patients is unclear. This multicenter retrospective cohort study compared the Prognostic Nutritional Index (PNI), Controlling Nutritional Status scores (CONUT), and Geriatric Nutritional Risk Index (GNRI) for predictive accuracy of all-cause and cardiovascular mortality, especially the impact of dynamic changes over time on prognosis.

METHODS

Hemodialysis patients from four hospitals were included. Laboratory data and nutrition scores were collected at the initiation of dialysis, and at 6th, 12th, and 18th months after dialysis initiation. A joint model analyzed the relationship between dynamic nutritional scores and prognosis. Predictive values were assessed using the area under the curve (AUC).

RESULTS

The study included 863 patients with a median follow-up of 37 months. During the follow-up, 23.8% of patients died, with 14% attributed to cardiovascular causes. Malnourished patients demonstrated higher risks for all-cause and cardiovascular mortality. Dynamic changes in PNI and GNRI scores were significantly associated with reduced all-cause and cardiovascular mortality risks. Precisely, longitudinal increases in PNI and GNRI scores corresponded to a 4% and 3% reduction in all-cause (PNI: HR, 0.96; 95% CI, 0.95-0.98; GNRI: HR, 0.97; 95% CI, 0.96-0.98) and cardiovascular mortality risk (PNI: HR, 0.96; 95% CI, 0.94-0.98; GNRI: HR, 0.97; 95% CI, 0.95-0.98) respectively, with longer dialysis duration. Changes in CONUT scores were not significantly associated with either all-cause or cardiovascular mortality. The AUCs of the three joint models indicated that the GNRI score (0.893) possessed higher predictive accuracy for all-cause mortality compared to PNI (0.832) and CONUT (0.852). Similar trends were observed for cardiovascular mortality.

CONCLUSION

Nutritional scores and their dynamic changes are intimately associated with mortality risk in hemodialysis patients. Compared to PNI and CONUT, the baseline GNRI and its post-dialysis variations demonstrate a superior predictive capability for all-cause and cardiovascular mortality in these patients.

Predictive value of nutritional scores in non-valvular atrial fibrillation patients: Insights from the AFTER-2 study

BACKGROUND AND AIM

Many scoring systems are used to evaluate malnutrition, but there is no consensus on which scoring system would be more appropriate. We aimed to investigate the effect of malnutrition in patients with non-valvular atrial fibrillation (NVAF) and to compare three scoring systems.

METHODS AND RESULTS

A total of 2592 patients with non-valvular AF from 35 different centers in Turkey were included in this prospective study. All participants were divided into two groups: 761 patients who died and 1831 patients who were alive. The malnutrition status of all participants was evaluated with three scoring systems. The primary outcome was all-cause mortality. The mean age of the population was 68.7 ± 11.1 years, and 55.5 % were female. According to Cox regression analysis, the geriatric nutritional risk index (GNRI) (HR = 0.989, 95 % CI: 0.982-0.997, p = 0.007), controlling nutritional status (CONUT) score (HR = 1.121, 95 % CI: 1.060-1.185, p < 0.001), and prognostic nutritional index (PNI) (HR = 0.980, 95 % CI: 0.962-0.999, p = 0.036) were found to be significant mortality predictors. ROC curve analysis indicated GNRI (AUC = 0.568), CONUT (AUC = 0.572), and PNI (AUC = 0.547) had moderate predictive values. Kaplan-Meier analysis showed that increasing the risk class based on GNRI (p < 0.001) and CONUT (p < 0.001) was associated with decreased survival, while PNI staging had no statistically significant effect (p = 0.266).

CONCLUSIONS

Malnutrition, determined by three scoring systems, was found to be an independent predictor of all-cause mortality in NVAF patients. Nutritional examination may provide useful information for prognosis and risk stratification in patients with NVAF.

Prevalence, associated factors, and impact of vitamin B12 deficiency in older medical inpatients

PURPOSE

This retrospective cohort study aims to explore the prevalence of vitamin B12 deficiency in older hospitalized adults and identify key factors associated with this deficiency, as well as its impact on frailty and functional decline.

METHODS

Data were collected from older adults (≥65 years) sequentially admitted to the Internal Medicine Department of a tertiary university hospital. Clinical and laboratory characteristics, including age, sex, somatometric data, cause of admission, past medical history, chronic medication use, and laboratory tests, were recorded. Frailty and functional status were assessed using the Fried Frailty Scale (FFS), Clinical Frailty Scale (CFS), Barthel Index, and Katz Index. Vitamin B12 levels on admission were categorised as deficient (<200 pg/ml), borderline (200-300 pg/ml), normal (300-999 pg/ml), and high (≥1000 pg/ml).

RESULTS

A total of 894 patients were included. The median age was 83 years and 487 (54.5%) were females. The prevalence of vitamin B12 deficiency was found in 9.1%, while 17.3% of the sample had borderline levels. Multivariate analysis identified polypharmacy (≥5 drugs), low albumin levels/Geriatric Nutritional Risk Index (GNRI), and nursing home residency as independent factors associated with low B12 levels. Multivariate analyses showed that B12 deficiency was significantly associated with higher frailty rates and lower functional status.

CONCLUSION

Vitamin B12 deficiency is prevalent among hospitalized older patients and is significantly associated with increased frailty and reduced functional status. These findings underscore the importance of routine screening for B12 deficiency in this vulnerable population to improve clinical outcomes and quality of life.

Prognostic Value of Shock Index Creatinine in Patients with Severe Aortic Stenosis Undergoing Transcatheter Aortic Valve Replacement

INTRODUCTION

Shock index (SI) and its derivatives have been reported to have prognostic value in various cardiovascular diseases. This study aims to ascertain the utility of shock index creatinine (SIC) in predicting mid-term mortality among patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR).

METHODS

We conducted a retrospective analysis of 555 patients with severe AS who underwent TAVR from April 2016 to March 2023. SIC was calculated as (SI × 100) - estimated creatinine clearance (CCr). The primary endpoint was all-cause mortality during the follow-up period, and secondary endpoints included in-hospital complications as defined by the Valve Academic Research Consortium-3 (VARC-3) criteria. Patients were stratified into two groups based on the optimal cutoff value determined by the receiver-operating characteristic (ROC) curve. Cox regression analysis was employed to identify independent predictors of all-cause mortality. Additionally, restricted cubic spline (RCS) was deployed to illustrate the relationship between SIC and mortality risk. The predictive performance of risk scores was evaluated using the area under the ROC curve (AUC).

RESULTS

Over a mean follow-up period of 21.5 months, there were 51 cases of all-cause mortality. Patients with a high SIC, identified by a cutoff of 16.5, exhibited a significantly higher cumulative all-cause mortality compared to those with a low SIC (18.3% vs. 5.2%, p < 0.001; adjusted HR = 2.188; 95% CI 1.103-4.341, p = 0.025). Patients with a high SIC were older (p = 0.002) and exhibited a higher prevalence of frailty (p < 0.001). Furthermore, they exhibited a heightened probability of moderate or severe mitral regurgitation (p < 0.001), tricuspid regurgitation (p < 0.001), and pulmonary hypertension (p < 0.001) compared to those with a low SIC. In terms of perioperative complications, acute kidney injury (10.1% vs. 3.9%, p = 0.008) and bleeding (13.6% vs. 6.7%, p = 0.014) were more prevalent in patients with a high SIC. The RCS demonstrated a positive correlation between SIC and all-cause mortality rate. Furthermore, incorporating high SIC into the STS score improved its predictive value for 1-year all-cause mortality (AUC: 0.731 vs. 0.649, p = 0.01).

CONCLUSION

Patients with a high SIC are more likely to experience frailty and cardiac damage and exhibit an increased in-hospital and mid-term mortality rate. SIC may provide additional information for risk stratification of patients undergoing TAVR.

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.

Prevalence and prognostic significance of malnutrition in patients with secondary mitral regurgitation undergoing transcatheter edge-to-edge repair

BACKGROUND

Malnutrition is associated with poor prognosis in several cardiovascular diseases; however, its role in patients with secondary mitral regurgitation (SMR) is poorly known.

AIMS

To evaluate the impact of nutritional status, assessed using different scores, on clinical outcomes in patients with SMR undergoing transcatheter edge-to-edge repair (TEER) in a real-world setting.

METHODS

A total of 658 patients with SMR and complete nutritional data were identified from the MIVNUT registry. Nutritional status has been assessed using controlling nutritional status index (CONUT), prognostic nutritional index (PNI), and geriatric nutritional risk index (GNRI) scores. Outcomes of interest were all-cause mortality and all-cause mortality or heart failure (HF) hospitalization.

RESULTS

Any malnutrition grade was observed in 79.4%, 16.7%, and 47.9% of patients by using CONUT, PNI, and GNRI, respectively, while moderate to severe malnutrition was noted in 24.7%, 16.7%, and 25.6% of patients, respectively. At a median follow-up of 2.2 years, 212 patients (32.2%) died. Moderate-severe malnutrition was associated with a higher rate of all-cause mortality (HR: 2.46 [95% CI: 1.69-3.58], HR: 2.18 [95% CI: 1.46-3.26], HR: 1.97 [95% CI: 1.41-2.74] for CONUT, PNI, and GNRI scores, respectively). The combined secondary endpoint of all-cause mortality and HF rehospitalization occurred in 306 patients (46.5%). Patients with moderate-severe malnutrition had a higher risk of the composite endpoint (HR: 1.56 [95% CI: 1.20-2.28], HR: 1.55 [95% CI: 1.01-2.19], HR: 1.36 [95% CI: 1.02-1.80] for CONUT, PNI, and GNRI scores, respectively). After adjustment for multiple confounders, moderate-severe malnutrition remained independently associated with clinical outcomes.

CONCLUSIONS

Moderate-severe malnutrition was common in patients with SMR undergoing TEER. It was independently associated with poor prognosis regardless of the different scores used.

Effects of malnutrition on disease severity and adverse outcomes in idiopathic pulmonary arterial hypertension: a retrospective cohort study

BACKGROUND

Malnutrition is common in patients with chronic cardiovascular disease and is associated with significantly higher all-cause mortality. Approximately one-third of patients with heart failure are malnourished. However, the relationship between malnutrition and idiopathic pulmonary arterial hypertension (IPAH) remains unclear. This study aimed to clarify the prognostic value of malnutrition in patients with IPAH.

METHODS

A total of 432 consecutive participants with IPAH were included in this study between March 2013 and August 2021. Three common malnutrition assessment tools, including the geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status (CONUT) score, were used to evaluate the nutritional status of patients with IPAH. The relationships between the malnutrition tools and long-term adverse outcomes were determined using restricted cubic splines and multivariate Cox regression models.

RESULTS

During a mean follow-up of 3.1 years, 158 participants experienced clinical worsening or all-cause death. Patients were stratified into the low-, intermediate- and high-risk groups based on the European Society of Cardiology (ESC) risk stratification, and the PNI (55.9 ± 5.7 vs. 54.4 ± 7.2 vs. 51.1 ± 7.1, P = 0.005) and CONUT score (2.1 ± 0.9 vs. 2.5 ± 1.2 vs. 3.3 ± 1.1, P < 0.001) identified these patient groups better than the GNRI. All three malnutrition tools were associated with well-validated variables that reflected IPAH severity, such as the World Health Organization functional class, 6-min walk distance, and N-terminal pro-brain natriuretic peptide level. The CONUT score exhibited better predictive ability than both the GNRI (ΔAUC = 0.059, P < 0.001) and PNI (ΔAUC = 0.095, P < 0.001) for adverse outcomes and significantly improved reclassification and discrimination beyond the ESC risk score. Multivariable Cox regression analysis indicated that only the CONUT score (hazard ratio = 1.363, 95% confidence interval 1.147, 1.619 per 1.0-standard deviation increment, P < 0.001) independently predicted adverse outcomes.

CONCLUSIONS

The malnutrition status was associated with disease severity in patients with IPAH. The CONUT score provided additional information regarding the risk of clinically worsening events, making it a meaningful risk stratification tool for these patients.

Geriatric nutrition risk index in the prediction of all-cause and cardiovascular mortality in older adults with hyperlipidemia: NHANES 1999-2018

BACKGROUND

Malnutrition is linked to a higher risk of unfavorable outcomes in various illnesses. The present investigation explored the correlation between inadequate nutritional condition and outcomes in older individuals diagnosed with hyperlipidemia.

METHODS

The geriatric nutritional risk index (GNRI) was used to evaluate the nutritional status. All patients were divided into two groups according to GNRI. A Kaplan-Meier analysis was used to assess the survival rates of different groups at risk of malnutrition. In addition, GNRI was used in COX proportional risk regression models to evaluate its predictive effect on both overall mortality and cardiovascular mortality among patients with hyperlipidemia. Furthermore, the study employed restricted cubic splines (RCS) to examine the nonlinear correlation between GNRI and mortality.

RESULTS

The study included 4,532 elderly individuals diagnosed with hyperlipidemia. During a median follow-up duration of 139 months, a total of 1498 deaths from all causes and 410 deaths from cardiovascular causes occurred. The Kaplan-Meier analysis demonstrated significantly poorer survival among individuals at risk of malnutrition, as indicated by the GNRI. In the malnutrition risk group, the modified COX proportional hazards model revealed that a decrease in GNRI was associated with a higher risk of all-cause mortality (HR=1.686, 95% CI 1.212-2.347) and cardiovascular mortality (HR=3.041, 95% CI 1.797-5.147). Furthermore, the restricted cubic splines revealed a non-linear association between GNRI and both all-cause mortality and cardiovascular mortality (p-value for non-linearity = 0.0039, p-value for non-linearity=0.0386).

CONCLUSIONS

In older patients with hyperlipidemia, lower levels of GNRI are associated with mortality. The GNRI could potentially be used to predict all-cause mortality and cardiovascular mortality.

Interrelationship between Altered Left Ventricular Ejection Fraction and Nutritional Status in the Post-Acute Myocardial Infarction Patient

There is currently little research on the effects of reduced left ventricular ejection fraction and altered nutritional status in patients with acute myocardial infarction. We therefore examined the interrelationship between the parameters of left ventricular dysfunction after acute myocardial infarction and changes in the Geriatric Nutrition Risk Index (GNRI) and the Nutrition Status Control Index (CONUT). Based on the evidence, frailty is considered to be an important factor affecting the prognosis of cardiovascular disease, so it is important to detect malnutrition early to prevent adverse cardiovascular events. This study was an observational, prospective study that included a total of 73 subjects who presented at the 3-month AMI follow-up. All subjects were subjected to laboratory tests and the groups were divided as follows: group 1, in which we calculated the CONUT score, (CONUT < 3 points, n = 57) patients with normal nutritional status and patients with moderate to severe nutritional deficiency (CONUT ≥ 3, n = 16). In group 2, the GNRI score was calculated and out of the 73 patients we had: GNRI ≥ 98, n = 50, patients with normal nutritional status, and GNRI < 98, n = 23, patients with altered nutritional status. The results of this study showed that we had significant differences between LVEF values at 3 months post-infarction where, in the CONUT group, patients with altered nutritional status had lower LVEF values (46.63 ± 3.27% versus 42.94 ± 2.54%, p < 0.001) compared to CONUT < 3. Also, in the GNRI group, we had lower LVEF values in patients with impaired nutritional status (46.48 ± 3.35% versus 44.39 ± 3.35%, p = 0.01). It can be seen that LVEF values are improved at 3 months post infarction in both groups, in patients with impaired nutritional status and in patients with good nutritional status. Patients with impaired nutritional status have lower ejection fraction and worse outcomes in both the CONUT and GNRI groups at 3 months post acute myocardial infarction.

Impact of malnutrition in patients with severe heart failure

AIM

The role of malnutrition among patients with severe heart failure (HF) is not well established. We evaluated the incidence, predictors, and prognostic impact of malnutrition in patients with severe HF.

METHODS AND RESULTS

Nutritional status was measured using the geriatric nutritional risk index (GNRI), based on body weight, height and serum albumin concentration, with malnutrition defined as GNRI ≤98. It was assessed in consecutive patients with severe HF, defined by at least one high-risk 'I NEED HELP' marker, enrolled at four Italian centres between January 2020 and November 2021. The primary endpoint was all-cause mortality. A total of 510 patients with data regarding nutritional status were included in the study (mean age 74 ± 12 years, 66.5% male). Among them, 179 (35.1%) had GNRI ≤98 (malnutrition). At multivariable logistic regression, lower body mass index (BMI) and higher levels of natriuretic peptides (B-type natriuretic peptide [BNP] > median value [685 pg/ml] or N-terminal proBNP > median value [5775 pg/ml]) were independently associated with a higher likelihood of malnutrition. Estimated rates of all-cause death at 1 year were 22.4% and 41.1% in patients without and with malnutrition, respectively (log-rank p < 0.001). The impact of malnutrition on all-cause mortality was confirmed after multivariable adjustment for relevant covariates (adjusted hazard ratio 2.03, 95% confidence interval 1.43-2.89, p < 0.001).

CONCLUSION

In a contemporary, real-world, multicentre cohort of patients with severe HF, malnutrition (defined as GNRI ≤98) was common and independently associated with an increased risk of mortality. Lower BMI and higher natriuretic peptides were identified as predictors of malnutrition in these patients.

Assessing the Predictive Value of Different Nutritional Indexes for Contrast-Associated Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Intervention

BACKGROUND

The link between malnutrition and poor prognosis in cardiovascular disease has been established but the association between malnutrition and contrast-associated acute kidney injury (CA-AKI), a common complication of coronary procedures, remains poorly understood. In this study we investigated the predictive value of 3 nutritional indexes for CA-AKI in patients undergoing percutaneous coronary intervention (PCI).

METHODS AND RESULTS

The study included a total of 6,049 consecutive patients undergoing PCI between May 2012 and September 2020, among whom 352 (5.8%) developed CA-AKI. We used the Controlling Nutritional Status (CONUT) score, the Geriatric Nutritional Risk Index (GNRI), and the Prognostic Nutritional Index (PNI) to assess the association between malnutrition risk and CA-AKI after PCI. Multivariate logistic regression analysis revealed that malnutrition, as identified by GNRI and PNI, was significantly associated with a higher risk of CA-AKI (moderate-severe malnutrition in GNRI: odds ratio [OR]=1.92, [95% confidence interval (CI), 1.27-2.85]; malnutrition in PNI: OR=1.87, [95% CI, 1.39-2.50]), whereas the CONUT score did not demonstrate a significant difference (P>0.05). Furthermore, GNRI (∆AUC=0.115, P<0.001) and PNI (∆AUC=0.101, P<0.001) exhibited superior predictive ability than the CONUT score for CA-AKI and significantly improved reclassification and discrimination in the fully adjusted model.

CONCLUSIONS

Malnutrition, especially identified by the GNRI and PNI, was associated with a higher risk of CA-AKI after PCI. GNRI and PNI performed better than the CONUT score in predicting CA-AKI.

Impact of Controlling Nutritional Status Score on Mortality in Elderly Patients with Idiopathic Pulmonary Fibrosis

Background: There are only a few reports on the nutritional status and mortality of patients with idiopathic pulmonary fibrosis (IPF). As such, this study aims to investigate the relationship between controlling nutritional status (CONUT) and the mortality of elderly patients with IPF. Methods: A total of 170 IPF patients aged ≥65 years old who visited the rehabilitation department of our hospital between July 2014 and July 2021 (mean age: 75.7 ± 6.3 years, sex (male/female): 138/32, %FVC: 78.3 ± 18.3%) were retrospectively analyzed. The Kaplan-Meier method and log-rank test were applied. Furthermore, using a Cox proportional hazards model with multivariate analysis, we analyzed the relationship between all-cause mortality and baseline characteristics including CONUT. Results: Based on the CONUT score, the normal group included 101 cases, the mild group included 58 cases, the moderate group included 11 cases, and the severe group had 0 cases. There were 49 cases of all-cause mortality events, suggesting that the mortality of the moderate group was significantly poorer than that of the normal and mild groups (p < 0.05). Furthermore, multivariate analysis identified GAP stage (HR: 5.972, 95%CI: 2.901~12.291, p < 0.0001), mMRC scale (HR: 0.615, 95%CI: 0.389~0.971, p = 0.009), and CONUT (HR: 2.012, 95%CI: 1.192~3.395, p = 0.037) as factors significantly influencing mortality. Conclusions: Severe malnutrition was not observed in elderly patients with IPF. Moderate malnutrition was associated with a significantly higher risk of all-cause mortality, suggesting that CONUT is an important indicator for predicting mortality.

Geriatric nutritional risk index and controller nutritional status score before metastatic first-line chemotherapy predict survival in patients over 70 years of age with metastatic bladder cancer

Introduction

Several prognostic factors have been identified in patients with metastatic bladder cancer (BC). As it is known, older adult patients are prone to nutritional deficiency. The knowledge about nutrition and impact on survival in older patients with metastatic bladder cancer is missing. It is necessary to specifically examine this population. Because timely interventions can make a positive impact on this patients population. This retrospective study aimed to evaluate the prognostic effect of the Geriatric Nutritional Risk Index (GNRI), Controller Nutritional Status (CONUT) score and Prognostic Nutritional Index (PNI) before first-line chemotherapy in the metastatic stage in patients with metastatic bladder cancer over 70.

Participants and methods

Patients over 70 with pathologically confirmed denovo metastatic or recurrent metastatic bladder cancer were included in the study. Patients with infections diagnosed at the time of diagnosis, autoimmune diseases or history of steroid use were excluded. Since our population consists of a specific age group with a specific cancer, we found a new cut-off value by performing ROC analysis to ensure optimal sensitivity and specificity in terms of progression. Low GNRI value was related with poor nutritional status. Low PNI value was related with poor nutritional status and high CONUT score was related with poor nutritional status. Factors predicting overall survival (OS) and Progression-Free Survival (PFS) were assessed using both univariate and multivariate Cox proportional hazards analyses.

Results

106 patients were included in the study and the average age was 75.5 years. In the GNRI-Low group, PFS was significantly shorter than that in the GNRI-High group [HR (95% CI) = 57.1 (12.8-255.5), (p < 0.001)]. Among those with a low-CONUT score, PFS was found to be longer than that in the high-CONUT group [HR (95% CI) = 1.7 (1.0-3.0), (p = 0.039)]. The median PFS of the PNI-Low group wasn't significantly shorter than that of the PNI-High group [HR (95% CI) = 1.8 (0.5-6.2), (p = 0.359)].

Conclusion

Our study suggests that the GNRI and CONUT scores are useful for predicting survival in patients over 70 years of age with BC.

Impact of the geriatric nutritional risk index on long-term outcomes in patients undergoing hemodialysis: a meta-analysis of observational studies

Background

This meta-analysis aimed to synthesize current evidence on the association between the Geriatric Nutritional Risk Index (GNRI) and long-term outcomes in patients undergoing hemodialysis.

Methods

Electronic databases were systematically searched for relevant studies that investigated the association between GNRI and long-term outcomes in hemodialysis patients until November 2023. The primary outcome was the association between the GNRI (i.e., low versus high) and overall mortality risk, while the secondary outcome was the relationship between the GNRI and cardiovascular mortality risk.

Results

Thirty cohort studies involving 55,864 patients were included. A low GNRI was found to be significantly associated with increased overall mortality (hazard ratio [HR]: 2.42, 95% confidence interval [CIs]: 2.10-2.79, p < 0.00001, I2 = 65%). Each unit increase in GNRI corresponded to a 5% reduction in mortality risk (HR: 0.95, 95% CI: 0.93-0.96, p < 0.00001, I2 = 79%). The association remained consistent across Asian (HR = 2.45, 95% CI: 2.08-2.88, p < 0.00001, I2 = 70%) and non-Asian subgroups (HR = 2.3, 95% CI: 1.72-3.06, p < 0.00001, I2 = 23%). Meta-regression analysis of patient age (coefficient: -0.002; p = 0.896), male proportion (coefficient: 0.002; p = 0.875), percentage of diabetes mellitus (coefficient: -0.003; p = 0.605), and follow-up duration (coefficient: -0.003; p = 0.431) revealed that these moderator variables did not significantly influence the association between GNRI and overall mortality risk. Cardiovascular mortality risk also increased with low GNRI (HR, 1.93; 95%CI: 1.51-2.45, p < 0.00001; I2 = 2%). Similarly, an inverse association was observed between the GNRI values and cardiovascular mortality risk (HR, 0.94; 95% CI: 0.91-0.97; p < 0.0001; I2 = 65%) (per unit increase).

Conclusion

The GNRI is a simple nutritional screening tool that can be used to effectively stratify patients undergoing hemodialysis globally. Further studies are warranted to determine whether nutrition optimization based on the GNRI improves long-term outcomes.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, CRD42023483729.

Geriatric nutritional risk index is correlated with islet function but not insulin resistance in elderly patients with type 2 diabetes: A retrospective study

The geriatric nutritional risk index (GNRI) is a simple nutritional assessment tool that can predict poor prognosis in elderly subjects. The aim of this study was to evaluate the association between GNRI and both islet function and insulin sensitivity in patients with type 2 diabetes mellitus. This research carries significant implications for the integrated treatment and nutritional management of this patient population. A total of 173 patients with type 2 diabetes mellitus, aged 60 years or older, who were hospitalized in the Endocrinology Department at Hebei General Hospital from February 2018 to June 2021, were selected as the research subjects. These subjects were divided into 4 groups according to the quartile of their GNRI values: T1 (GNRI < 99.4, n = 43), T2 (99.4 ≤ GNRI < 103, n = 43), T3 (103 ≤ GNRI < 106.3, n = 43), and T4 (GNRI ≥ 106.3, n = 44). Glucose, insulin, and C-peptide concentrations were tested at 0, 30, 60, 120, and 180 minutes during a 75 g oral glucose tolerance test. The homeostasis model assessment for insulin resistance and the homeostasis model assessment for β cell function index were calculated. As the GNRI value increased, the levels of total protein, albumin, hemoglobin, alanine transaminase, aspartate aminotransferase, and 25-hydroxyvitamin D increased significantly. The area under the curve for blood glucose decreased significantly across the 4 groups, while the AUCs for insulin and C-peptide showed an overall increasing trend. β Cell function index increased significantly with the increase of GNRI; meanwhile, both the early-phase insulin secretion index and the late-phase insulin secretion index increased significantly. Although there was an increasing trend, homeostasis model assessment for insulin resistance did not change significantly among the 4 groups. This study indicates that elderly type 2 diabetes patients with higher nutritional risk have worse islet function, while insulin sensitivity is not associated with nutritional risk.

The geriatric nutrition risk index is longitudinally associated with incident Sarcopenia: evidence from a 5-year prospective cohort

BACKGROUND

Previous studies investigating the association between the geriatric nutrition risk index (GNRI) and sarcopenia either lacked longitudinal evidence or narrowly focused on specific populations.

AIMS

We aimed to reveal longitudinal associations of GNRI with sarcopenia risk in community-dwelling Chinese. We also investigated interaction effects of potential factors on such associations.

METHODS

We included participants aged ≥ 50 years with sufficient data from the WCHAT study who did not have sarcopenia at baseline and completed sarcopenia assessment during follow-up. GNRI was calculated according to the formula based on serum albumin, height and weight. Sarcopenia was diagnosed according to the 2019 AWGS consensus. Longitudinal associations between GNRI and sarcopenia were estimated by logistic regression with GNRI as either a continuous or categorical variable by tertiles, using generalized estimating equations (GEE) as sensitivity analyses. Subgroup analyses by potential covariates were conducted to detect interaction effects.

RESULTS

A total of 1907 participants without baseline sarcopenia were finally included, of whom 327 (17.1%) developed incident sarcopenia during 5-year follow-up. After controlling for confounders, sarcopenia risk decreased with each one standard deviation increase in GNRI (ORadjusted=0.36, 95% CI 0.31-0.43), and it also decreased successively from the lowest (< 111.2) through middle (111.2-117.7) to the highest (≥ 117.8) tertile of the GNRI level (P for trend < 0.001). Similar results were yielded by GEE. Such associations generally remained robust across subgroups with distinct characteristics, while significant differences were observed between different age groups (≥ 65 vs. <65 years) (interaction P-value < 0.05).

CONCLUSION

GNRI is longitudinally associated with sarcopenia risk with possibly age-specific differences in association magnitude, which holds implications for policymakers to conduct population-based risk assessment.

Geriatric nutritional risk index and adverse medical outcomes among Egyptian patients admitted to a geriatric hospital: a prospective cohort study

BACKGROUND

Elderly are one of the most heterogeneous and vulnerable groups who have a higher risk of nutritional problems. Malnutrition is prevalent among hospitalized elderly but underdiagnosed and almost undistinguishable from the changes in the aging process. The Geriatric Nutritional Risk Index (GNRI) is a tool created to predict nutrition-related complications in hospitalized patients. This study aims to measure the prevalence of nutritional risk using the GNRI among hospitalized elderly Egyptian inpatients and to determine the association between the GNRI and selected adverse clinical outcomes.

METHODS

A hospital-based prospective cohort study was conducted among 334 elderly patients admitted to a tertiary specialized geriatric university hospital in Cairo, Egypt from August 2021 to June 2022. Within 48 hours after hospital admission, socio-demographic characteristics, blood biomarkers, anthropometric measurements, and nutritional risk assessment by the GNRI score were obtained. Patients were divided into three groups based on their GNRI: high, low, and no nutritional risk (GNRI<92, 92-98, and >98) respectively. Patients were followed up for the occurrence of adverse outcomes during hospital stay (bed sores, Healthcare-Associated Infections (HAIs), hospital Length of Stay (LOS), and hospital mortality) and three months after discharge (non-improvement medical status, appearance of new medical conditions, hospital readmission and 90-day mortality). Multivariable regression and survival analysis were conducted.

RESULTS

The prevalence of high-nutritional risk was 45.5% (95% CI, 40%-51%). Patients with high risk had significantly longer LOS than those with no risk. The high-nutritional risk was significantly associated with the development of bed sores (Adjusted Odds Ratio (AOR) 4.89; 95% CI, 1.37-17.45), HAIs (AOR: 3.18; 95% CI, 1.48-6.83), and hospital mortality (AOR: 4.41; 95% CI, 1.04-18.59). The overall survival rate was significantly lower among patients with high-nutritional risk compared to those with no risk.

CONCLUSION

GNRI is a simple and easily applicable objective nutritional screening tool with high prognostic value in this Egyptian sample of patients. The findings of this study signal the initiation of the application of this tool to all geriatric hospitals in Egypt.

Sarcopenia evaluation on cardiac magnetic resonance imaging in older adults for outcomes prediction following surgical aortic valve replacement

BACKGROUND

Sarcopenia refers to a reduction in skeletal muscle mass and strength. Despite the known association between single-slice muscle measurements on lumbar computed tomography and poor outcomes in various clinical settings, studies using thoracic muscle measurements on cardiac magnetic resonance imaging (CMR) have been limited.

METHODS

Patients undergoing surgical aortic valve replacement (SAVR) between 2010 and 2020 were included if they were ≥ 50 years of age with preoperative CMR. Manual unilateral pectoralis major and minor skeletal muscle area measurements were made at the carina and normalized for body size by height to obtain skeletal muscle index (SMI). Sarcopenia was defined as the lowest sex-stratified SMI tertile and higher-risk as the highest fiftieth percentile Society of Thoracic Surgeons' (STS) mortality score.

RESULTS

A total of 133 patients were included, 35 (26.3%) females. The average age was 64 ± 9 years, with most Caucasian (93.2%). Compared to non-sarcopenic patients, sarcopenic patients were older with lower body mass index. During a median follow-up of 27.3 (7.6-60.4) months, 10 (22.2%) deaths occurred in the sarcopenic group and 8 (9.1%) in the non-sarcopenic group (p = 0.039 by log-rank test). On subgroup analysis (66 patients), higher-risk sarcopenic patients had 10 (37.0%) deaths compared to 8 (20.5%) in higher-risk non-sarcopenic patients (p = 0.011 by log-rank test).

CONCLUSIONS

Simple unilateral pectoralis muscle measurements on preoperative CMR can be used as an adjunct to traditional risk scores for predicting mortality post-SAVR.

Triglyceride glucose index as a predictor of mortality in middle-aged and elderly patients with type 2 diabetes in the US

Despite a wealth of research linking the triglyceride glucose index (TyG index) to metabolic diseases. However, little evidence links the TyG index to all-cause or CVD mortality in middle-aged and elderly individuals with type 2 diabetes (T2D). This study analyzed data from 2998 patients with T2D who participated in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. The TyG index and mortality in middle-aged and elderly T2D patients were investigated using Cox regression models. The nonlinear association between the TyG index and mortality can be understood with the help of a restricted cubic spline (RCS). During a median follow-up period of 82 months, 883 fatalities were observed from all causes and 265 from CVD. The TyG index was found to have a U-shaped relationship with all-cause and CVD mortality in T2D, with cutoffs of 8.95 and 9, respectively, according to the RCS. After controlling for other factors, an increase of 1 unit in the TyG index was related to an increase of 33% in all-cause mortality and 50% in CVD mortality when TyG was ≥ 8.95 and 9. When TyG < 8.95 and 9, with the change in the TyG index, the change in all-cause and CVD death was insignificant. Patients with T2D who are middle-aged or older, especially elderly patients, have higher TyG levels associated with increased mortality. In middle-aged and elderly patients with T2D, the TyG index may predict the probability of death from any cause and death from CVD.

The Geriatric Nutritional Risk Index Is an Optimal Evaluation Parameter for Predicting Mortality in Adult All Ages Hemodialysis Patients: A Korean Population-Based Study

The Geriatric Nutritional Risk Index (GNRI) is a nutritional screening tool used for predicting mortality in patients undergoing hemodialysis (HD). This study investigated the cutoff values for the GNRI for predicting mortality in HD patients using Korean HD quality assessment data from 2015. To identify the optimal GNRI cutoff value, we used Harrell's C-index with multivariate Cox regression models. The highest value of C-index was identified as the cutoff value of GNRI for all-cause mortality in this population. In total, 34,933 patients were included; 90.8 of GNRI was the highest value of C-index, and it was used as a cutoff value to predict mortality; 3311 patients (9.5%) had GNRI values < 90.8, and there were 12,499 deaths during the study period. The mean follow-up period was 53.7 months. The crude mortality rates in patients with GNRI values < 90.8 and ≥ 90.8 were 160.4/1000 and 73.2/1000 person-years respectively. In the fully adjusted Cox model, patients with a GNRI < 90.8 had a 1.78 times higher risk of mortality than those with a GNRI ≥ 90.8. These findings suggest that the optimal GNRI cutoff value is 90.8 for predicting mortality in maintenance HD patients.

Geriatric Nutritional Risk Index and Risk of Mortality in Critically Ill Patients With Acute Kidney Injury: A Multicenter Cohort Study

OBJECTIVES

Malnutrition is associated with adverse outcomes in acute or chronic diseases. However, the prediction value of the Geriatric Nutritional Risk Index (GNRI) in critically ill patients with acute kidney injury (AKI) has not been well studied.

METHODS

Data was extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) and the electronic intensive care unit database. We used two nutritional indicators, the GNRI and the modified Nutrition Risk in Critically ill (NUTRIC) score, to evaluate the relationship between the nutritional status of patients with AKI and prognosis. The outcome is in-hospital mortality and 90-day mortality. The prediction accuracy of GNRI was compared with the NUTRIC score.

RESULTS

A total of 4,575 participants with AKI were enrolled in this study. The median age of 68 (interquartile range, 56-79) years, and 1,142 (25.0%) patients experienced in-hospital mortality, and 1,238 (27.1%) patients experienced 90-day mortality. Kaplan-Meier survival analysis indicated that lower GNRI levels and high NUTRIC score are associated with lower in-hospital and 90-day survival of patients with AKI (P < .001 by log-rank test). After multivariate adjustment, Cox regression analysis demonstrated a 2-fold increased risk of in-hospital (hazard ratio = 2.019, 95% confidence interval: 1.699-2.400, P < .001) and 90-day (hazard ratio = 2.023, 95% confidence interval: 1.715-2.387, P < .001) mortality in the low GNRI group. Moreover, the multivariate-adjusted Cox model containing GNRI had higher prediction accuracy for the prognosis of patients with AKI than that with NUTRIC score (AUCGNRI model vs. AUCNUTRIC model for in-hospital mortality = 0.738 vs. 0.726, AUCGNRI model vs. AUCNUTRIC model for 90-day mortality = 0.748 vs. 0.726). In addition, the prediction value of GNRI was validated by the electronic intensive care unit database (7,881 patients with AKI) with satisfying performance (AUCGNRI model = 0.680).

CONCLUSIONS

Our results demonstrated that GNRI is strongly associated with survival in patients in the intensive care unit coexisting with AKI, and the GNRI has a superior predictive value than the NUTRIC score.

Geriatric nutritional risk index was associated with in-hospital mortality among cardiac intensive care unit patients

Background

Identifying risk factors associated with cardiac intensive care unit (CICU) patients' prognosis can help clinicians intervene earlier and thus improve their prognosis. The correlation between the geriatric nutrition risk index (GNRI), which reflects nutritional status, and in-hospital mortality among CICU patients has yet to be established.

Method

The present study retrospectively enrolled 4,698 CICU patients. Based on the nutritional status, the participants were categorized into four groups. The primary endpoint was in-hospital mortality. The length of hospital stay and length of CICU stay were the secondary endpoints. To explore the correlation between nutritional status and in-hospital mortality, a logistic regression analysis was conducted. The nonlinear associations of GNRI with in-hospital mortality were evaluated using restricted cubic spline (RCS). Furthermore, subgroup analyses were conducted to evaluate the effect of the GNRI on in-hospital mortality across different subgroups, with calculation of the p for interaction.

Result

A higher risk of malnutrition was significantly linked to an increased incidence of in-hospital mortality (High risk vs. No risk: 26.2% vs. 4.6%, p < 0.001), as well as a longer length of hospital stay (High risk vs. No risk: 15.7, 9.1-25.1 vs. 8.9, 6.9-12.9, p < 0.001) and CICU stay (High risk vs. No risk: 6.4, 3.8-11.9 vs. 3.2, 2.3-5.1, p < 0.001). An elevated GNRI was significantly associated with an increased risk of in-hospital mortality even after controlling for pertinent confounding factors (High risk vs. No risk: OR, 95% CI: 2.37, 1.67-3.37, p < 0.001, p for trend <0.001). Additionally, the RCS model showed a linear relationship between GNRI and in-hospital mortality, with the risk of in-hospital mortality significantly decreasing as GNRI increased (non-linear p = 0.596). Furthermore, in the subgroups of hypertension, ventricular arrhythmias, cardiac arrest, shock, and chronic kidney disease, there was a significant interaction between nutritional status and in-hospital mortality.

Conclusion

Among CICU patients, a low GNRI was a significant predictor of in-hospital mortality. Furthermore, patients with a higher risk of malnutrition, as indicated by low GNRI values, experienced significantly longer hospital and CICU stays.

Association of prognostic nutritional index with long-term mortality in patients receiving percutaneous coronary intervention for acute coronary syndrome: a meta-analysis

The predictive value of the prognostic nutritional index (PNI) for the long-term prognosis of patients with acute coronary syndrome (ACS) remains uncertain. Medline, Embase, Cochrane Library, and Google Scholar were searched from inception until January 2023 to study the relationship between all-cause mortality risk and PNI in patients receiving percutaneous coronary intervention for ACS (i.e., primary outcome). Thirteen observational studies were included in this meta-analysis. Analysis of seven studies using PNI as a categorical variable showed a pooled hazard ratio (HR) of all-cause mortality of 2.97 (95% CI 1.65 to 5.34, p = 0.0003, I2 = 89%, n = 11,245) for patients with a low PNI. The meta-analysis also showed a higher risk of major adverse cardiovascular events (MACEs) in patients with a low PNI (HR 2.04; 95% CI 1.59 to 2.61; p < 0.00001; I2 = 21%; n = 8534). Moreover, advanced age, diabetes mellitus, and high Global Registry of Acute Coronary Events risk scores were associated with a high risk of all-cause mortality, whereas a high body mass index was associated with a low risk of all-cause mortality. The results showed an association between a low PNI and an increased risk of long-term mortality in patients undergoing coronary interventions for ACS. Further randomized controlled trials are necessary to confirm these findings.

Impact of Malnutrition in Patients With Heart Failure and Secondary Mitral Regurgitation: The COAPT Trial

BACKGROUND

Although malnutrition is associated with poor prognosis in several diseases, its prognostic impact in patients with heart failure (HF) and secondary mitral regurgitation (SMR) is not understood.

OBJECTIVES

The purpose of this study was to assess the prevalence and impact of malnutrition in HF patients with severe SMR randomized to transcatheter edge-to-edge repair (TEER) with the MitraClip plus guideline-directed medical therapy (GDMT) vs GDMT alone in the COAPT trial.

METHODS

Baseline malnutrition risk was calculated using the validated geriatric nutritional risk index (GNRI) score. Patients were categorized as having "malnutrition" (GNRI ≤98) vs "no malnutrition" (GNRI >98). Outcomes were assessed through 4 years. The primary endpoint of interest was all-cause mortality.

RESULTS

Among 552 patients, median baseline GNRI was 109 (IQR: 101-116); 94 (17.0%) had malnutrition. All-cause mortality at 4 years was greater in patients with vs those without malnutrition (68.3% vs 52.8%; P = 0.001). Using multivariable analysis, both baseline malnutrition (adjusted-HR [adj-HR]: 1.37; 95% CI: 1.03-1.82; P = 0.03) and randomization to TEER plus GDMT compared with GDMT alone (adj-HR: 0.65; 95% CI: 0.51-0.82; P = 0.0003) were independent predictors of 4-year mortality. In contrast, GNRI was unrelated to the 4-year rate of heart failure hospitalization (HFH), although TEER treatment reduced HFH (adj-HR: 0.46; 95% CI: 0.36-0.56). The reductions in death (adj-P_interaction = 0.46) and HFH (adj-P_interaction = 0.67) with TEER were consistent in patients with and without malnutrition.

CONCLUSIONS

Malnutrition was present in 1 of 6 patients with HF and severe SMR enrolled in COAPT and was independently associated with increased 4-year mortality (but not HFH). TEER reduced mortality and HFH in patients with and without malnutrition. (Cardiovascular Outcomes Assessment of the MitraClip Percutaneous Therapy for Heart Failure Patients With Functional Mitral Regurgitation [The COAPT Trial] and COAPT CAS [COAPT]; NCT01626079).

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.

Prognostic Significance of Nutrition-Associated Markers in Heart Failure with Preserved Ejection Fraction: A Systematic Review and Meta-Analysis

BACKGROUND

The prognostic significance of nutrition indicators in patients with heart failure with preserved ejection fraction (HFpEF) is unclear.

OBJECTIVES

This systematic review and meta-analysis aimed to assess the prognostic value of serum albumin (SA), the geriatric nutritional risk index (GNRI), and the prognostic nutritional index (PNI) in patients with HFpEF.

METHODS

Databases of PubMed, Embase, The Cochrane Library, and Web of Science were systematically searched for all studies published up to January 2022. The prognostic significance of SA, GNRI, and PNI for HFpEF was explored. Pooled hazard ratio (HR) and 95% confidence interval (CI) were estimated using the STATA 15.0 software. The Quality of Prognosis Studies tool was used to assess the quality of studies.

RESULTS

Nine studies met the inclusion criteria, and 5603 adults with HFpEF were included in the meta-analysis. The analyses showed that a decreased SA or GNRI was significantly related to high all-cause mortality (HR: 1.98; 95% CI: 1.282-3.057; p = 0.002; and HR: 1.812;95% CI: 1.064-3.086; p = 0.029, respectively). Furthermore, a lower SA indicates a bad composite outcome of all-cause mortality and HF rehospitalization (HR: 1.768; 95% CI: 1.483-2.108; p = 0.000), and a lower GNRI was significantly associated with high cardiovascular mortality (HR: 1.922; 95% CI: 1.504-2.457;p = 0.000). However, a lower PNI did not correlate with all-cause mortality (HR: 1.176; 95% CI: 0.858-1.612, p=0.314).

CONCLUSIONS

Our meta-analysis indicates that SA and GNRI may be useful indicators to predict the prognosis of patients with HFpEF.

Association of preoperative prognostic nutritional index with risk of postoperative delirium: A systematic review and meta-analysis

Study objective

To assess the association between prognostic nutritional index (PNI) and risk of postoperative delirium (POD) in adult patients.

Methods

MEDLINE, Google scholar, EMBASE, and Cochrane library databases were searched from inception till April 2022. The primary outcome was the association between PNI and the risk of POD, while the secondary outcomes were correlations of other prognostic factors with POD risk. The correlation between PNI and the incidence of POD was assessed with three approaches: Difference in preoperative PNI between POD and non-POD groups (Model 1) as well as the association of PNI as a continuous parameter (Model 2) or as a binary variable (i.e., low vs. high using a PNI cut-off value of 50) (Model 3) with POD risk.

Results

Analysis of nine observational studies published from 2010 to 2021 recruiting 3,743 patients showed a POD incidence of 6.4-35%. Our meta-analysis demonstrated a lower PNI among patients in the POD group (MD: -3.78, 95% CI: -4.85 to -2.71, p < 0.0001, I ² = 54.2%) compared to the non-POD group (Model 1). Pooled results revealed a negative association between PNI and POD risk for both Model 2 (OR: 0.91, 95% CI: 0.86-0.97, p = 0.002, I ² = 71%) and Model 3 (OR: 1.68, 95% CI: 1.26-2.23, p < 0.0001, I ² = 0%). Besides, while our results supported an age-dependent increase in POD risk, other factors including body-mass index, surgical time, health status, hypertension, diabetes mellitus, and male gender were non-significant predictors of POD.

Conclusion

Our results demonstrated a negative association between PNI and POD, which warrant further large-scale studies for validation.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42022323809.

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

Background and objective

Nutritional status assessment in acute coronary syndrome (ACS) patients has been neglected for a long time. The geriatric nutritional risk index (GNRI) is a sensitive indicator for assessing the nutritional status of the elderly. This study aims to explore the association between GNRI and all-cause mortality in the oldest-old patients with ACS.

Methods

The patients who met the inclusion criteria were consecutively enrolled from January 2006 to December 2012. Clinical data were collected on admission, and all subjects were followed after being discharged. The nutritional status was evaluated using GNRI. The relationship between GNRI and all-cause mortality was assessed by using different analyses.

Results

A total of 662 patients with a mean age of 81.87 ± 2.14 years old were included in our study, and followed (median: 63 months, IQR 51-71). Patients whose GNRI ≤ 98 were reported as at risk of malnutrition (31.11%, n = 206). In multivariable analysis, we found that for each SD increase in GNRI, the risk of all-cause mortality lowered by 23%, and the HR for GNRI ≤ 98 was 1.39 (95% CI 1.04-1.86). After stratifying patients into three groups by tertiles of GNRI, we found that the HRs for tertile 2 and tertile 3 were 1.49 (95% CI 1.02-2.19) and 1.74 (95% CI 1.22-2.50), respectively. The trend test revealed a dose-response relationship between GNRI and all-cause mortality in the oldest-old with ACS. Lastly, in subgroup analyses, we found a reliable association between GNRI and all-cause mortality.

Conclusion

Malnutrition is common in the oldest-old patients with ACS, and GNRI could predict their long-term all-cause mortality in a dose-dependent manner. GNRI may be a prospective index for risk-stratification and secondary-prevention in the oldest-old patients with ACS.

Virus Infections in Older People

Older people are more prone to viral infections, and often have worse outcomes. This was well demonstrated during the COVID-19 pandemic, where a disproportionate number of deaths occurred in the oldest and frailest people. The assessment of the older person with a viral infection is complicated by the high prevalence of multiple comorbidities and sensory or cognitive impairment. They often present with common geriatric syndromes such as falls or delirium, rather than the more typical features of a viral illness in younger people. Comprehensive geriatric assessment by a specialist multidisciplinary team is the gold standard of management, as viral illness is unlikely to present in isolation of other healthcare needs. We discuss the presentation, diagnosis, prevention, and management of common viral infections-respiratory syncytial virus, coronavirus, norovirus, influenza, hepatitis, herpes, and dengue viruses-with special consideration of infections in the older patient.

Effects of sodium-glucose cotransporter-2 inhibitors on nutritional status in heart failure with reduced ejection fraction

OBJECTIVE

This study aimed to evaluate the effects of sodium-glucose cotransporter-2 inhibitors on nutritional status in patients with heart failure with reduced ejection fraction.

METHODS

The sodium-glucose cotransporter-2 inhibitor treatment was initiated in 153 patients with heart failure with reduced ejection fraction who were symptomatic despite optimal medical treatment and were followed up for 6 months. The Minnesota Living With Heart Failure Questionnaire scores, New York Heart Association functional class, NT-pro-BNP levels, and nutritional index scores of the patients were evaluated before sodium-glucose cotransporter-2 inhibitor treatment and at the 6-month follow-up. The nutritional status of the patients was evaluated with the COntrolling NUTritional Status score, Geriatric Nutritional Risk Index, and Prognostic Nutritional Index.

RESULTS

After sodium-glucose cotransporter-2 inhibitor treatment, significant changes were observed in the mean scores of the three different nutritional indexes: COntrolling NUTritional Status (before: 2.76±2.43 vs. after: 1.12±1.23, p<0.001), Geriatric Nutritional Risk Index (before: 98.2±9.63 vs. after: 104.4±5.83, p<0.001), and Prognostic Nutritional Index (before: 37.9±4.63 vs. after: 42.9±3.83, p<0.001) scores. A significant decrease in the number of patients with malnutrition was observed according to the COntrolling NUTritional Status (before: 46.4% vs. after: 9.7%, p<0.001), Geriatric Nutritional Risk Index (before: 41.8% vs. after: 18.9%, p=0.006), and Prognostic Nutritional Index (before: 36.6% vs. after: 13.7%, p=0.007) scores. A significant functional improvement was observed in patients after sodium-glucose cotransporter-2 treatment: Minnesota Living With Heart Failure Questionnaire scores (before: 39.2±7.2 vs. after: 20.4±7.4, p<0.001), NT-pro-BNP levels (before: 2989±681 vs. after: 1236±760, p<0.001), and New York Heart Association class (before: class II-III: 95.5%; class IV: 4.5% vs. after: class II-III: 78%; class IV: 0%, p<0.001).

CONCLUSION

In patients with heart failure with reduced ejection fraction who are symptomatic despite optimal medical treatment, the addition of an sodium-glucose cotransporter-2 inhibitor to treatment can significantly improve both the nutritional and functional statuses.

The impact of geriatric nutritional risk index on esophageal squamous cell carcinoma patients with neoadjuvant therapy followed by esophagectomy

Background

The Geriatric Nutritional Index (GNRI) has been indicated as a nutritional index which is highly associated with complications and mortality in older hospitalized patients. Moreover, early studies had suggested that GNRI is a potential prognostic indicator for some malignances. However, the prognostic value of GNRI in esophageal squamous cell carcinoma (ESCC) patients underwent neoadjuvant therapy followed by esophagectomy remains elusive.

Materials and methods

This retrospective study incorporated 373 patients with ESCC who had underwent neoadjuvant therapy followed by radical esophagectomy at West China Hospital of Sichuan University between April 2011 and September 2021. The GNRI formula was: 1.489 × albumin (g/dl) + 41.7 × current weight/ideal weight. Patients were classified as GNRI-low (GNRI < 98.7) or GNRI high (GNRI ≥ 98.7). The association between GNRI and clinical survival status were assessed utilizing Kaplan-Meier methods and Cox regression analysis.

Results

Three hundred and seventy three patients were retrospectively included in this study. 80 (21.5%) and 293 (78.5%) patients had been divided into the GNRI-low and GNRI-high groups respectively. Pathological T stage and the rate of nodal metastasis were significantly higher in the GNRI low group than in the GNRI high group (P = 0.003 and P = 0.001, respectively) among the examined demographic parameters. Furthermore, GNRI was significantly correlated with postoperative complications, patients with lower GNRI had a higher postoperative complication rate as compared with GNRI high group [Odds ratio: 2.023; 95% confidence interval (CI): 1.208–3.389; P = 0.007]. Univariate analysis of 5-year overall survival (OS) and disease-free survival (DFS) found that the rate of survival was considerably lower in the GNRI-low group than in the GNRI-high group (P < 0.001). However, multivariate analysis demonstrated that GNRI was not an independent risk factor.

Conclusion

In patients with ESCC, low GNRI exhibited a poor nutritional indicator and related to postoperative complications after neoadjuvant therapy. Intensive follow-up after surgery should be performed for ESCC patients with low GNRI.

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.

Prevalence and impact of malnutrition on readmission among hospitalized patients with heart failure in China

AIMS

Malnutrition is common in patients with heart failure (HF) and is associated with poorer quality of life and increased mortality; however, an effective screening tool for malnutrition and its impact on the readmission of patients with HF is uncertain. Our objectives were to study (i) the nutritional status of Chinese hospitalized patients with HF and its impact on readmission and (ii) the validity of seven malnutrition screening tools.

METHODS AND RESULTS

In this study, univariate and multivariate analyses of Cox proportional hazards regression were used to determine important predictors of readmission. The endpoint was readmission due to HF or non-HF. A total of 402 patients were included (66.4% male, median age 62 years [range: 20-92 years], median NT-proBNP 5,229 ng/L). During a median follow-up of 159 days, 150 patients (37%) were readmitted to the hospital. After adjusting for confounders, only malnutrition assessed using the Controlling Nutritional Status (CONUT) nutrition score was independently associated with readmission (P = 0.0293). A base model for predicting readmission with a C-statistic of 0.680 and subsequent addition of various nutritional screening tools improved its performance over the base model. Patients with malnutrition had a twofold increased risk of readmission.

CONCLUSIONS

We found that the prevalence of malnutrition among hospitalized patients with HF in China is very high and that malnutrition significantly increases the risk of readmission in these patients. CONUT is a validated screening tool for malnutrition and may provide valuable prognostic information.

Associations of Overall Survival with Geriatric Nutritional Risk Index in Patients with Advanced Pancreatic Cancer

Nutritional assessment is critical in cancer care to maintain quality of life and improve survival. The Geriatric Nutritional Risk Index (GNRI) may be a practical tool to assess nutritional status and predict survival. This study aimed to examine survival using GNRI in advanced-stage pancreatic cancer (PC). The retrospective analysis used data of patients with stage III or IV PC. Inclusion criteria: age > 18 and hospital admission for at least three days at or following diagnosis between 2014 and 2017. Data collected: demographics, albumin levels, BMI and weight. Days between the first and last admission, median survival and GNRI scores calculated. Patients categorized into groups: any nutritional risk (GNRI ≤ 98) and no nutritional risk (GNRI > 98). 102 patients had a median survival of 87.5 days and mean GNRI of 98.7. Patients surviving longer than 90 days showed higher mean weight (p = 0.0128), albumin (p = 0.0002) and BMI (p = 0.0717) at the first admission. Mean survival days for patients at any nutritional risk were 110 days compared to 310 days for no nutritional risk (p = 0.0002). GNRI score at first admission after diagnosis is associated with survival. It is vital to monitor nutritional status using weight and albumin to promote increased survival from diagnosis.

Predictive Value of Geriatric Nutritional Risk Index in Patients With Lower Extremity Peripheral Artery Disease: A Meta-Analysis

Background

Conflicting results have been reported on the value of the Geriatric Nutritional Risk Index (GNRI) in predicting adverse outcomes in patients with peripheral artery disease (PAD). The objective of this meta-analysis was to evaluate the association of GNRI with adverse outcomes in patients with lower extremity PAD.

Methods

Relevant studies were comprehensively searched in PubMed and Embase databases until December 31, 2021. Eligible studies should evaluate the value of GNRI in predicting major adverse cardiovascular and leg events (MACLEs), all-cause mortality, and amputation in patients with lower extremity PAD.

Results

Eight studies reporting on 9 articles involving 5,541 patients were included. A fixed-effect model meta-analysis showed that patients with PAD with low GNRI had an increased risk of MACLEs [adjusted risk ratio (RR) 2.26; 95% confidence interval (CI) 1.54–3.31] and all-cause mortality (RR 2.38; 95% CI 1.71–3.31) compared with those with high GNRI. When analysis of GNRI is by continuous data, 10 units of GNRI decrease was associated with 36% and 44% higher risk of MACLEs and all-cause mortality, respectively. However, per 10 units GNRI score decrease was not significantly associated with a higher risk of amputation (p = 0.051).

Conclusion

Low GNRI may be an independent predictor of adverse outcomes in patients with lower extremity PAD. Routine screening of nutritional status using the GNRI may provide important prognostic information in patients with PAD.

Malnutrition Screening and Assessment

Malnutrition is a serious problem with a negative impact on the quality of life and the evolution of patients, contributing to an increase in morbidity, length of hospital stay, mortality, and health spending. Early identification is fundamental to implement the necessary therapeutic actions, involving adequate nutritional support to prevent or reverse malnutrition. This review presents two complementary methods of fighting malnutrition: nutritional screening and nutritional assessment. Nutritional risk screening is conducted using simple, quick-to-perform tools, and is the first line of action in detecting at-risk patients. It should be implemented systematically and periodically on admission to hospital or residential care, as well as on an outpatient basis for patients with chronic conditions. Once patients with a nutritional risk are detected, they should undergo a more detailed nutritional assessment to identify and quantify the type and degree of malnutrition. This should include health history and clinical examination, dietary history, anthropometric measurements, evaluation of the degree of aggression determined by the disease, functional assessment, and, whenever possible, some method of measuring body composition.

Albumin-to-globulin ratio predicts clinical outcomes of heart failure with preserved ejection fraction in women

Despite advances in medicine, heart failure with preserved ejection fraction (HFpEF) remains an increasing health concern associated with a high mortality rate. Research has shown sex-based differences in the clinical characteristics of patients with HF; however, definitive biomarkers for poor clinical outcomes of HFpEF in women are unavailable. We focused on the albumin-to-globulin ratio (AGR), a biomarker for malnutrition and inflammation and investigated its usefulness as a predictor of clinical outcomes of HFpEF in women. We measured the AGR in consecutive 224 women with HFpEF and 249 men with HFpEF. There were 69 cardiac events in women with HFpEF and 69 cardiac events in men with HFpEF during the follow-up period. The AGR decreased with advancing New York Heart Association functional class in women with HFpEF. Patients were categorized into three groups based on AGR tertiles. Kaplan-Meier analysis showed that among the three groups, the risk for cardiac events and HF-associated rehospitalizations was the highest in the lowest tertile in women with HFpEF. Univariate and multivariate Cox proportional hazard regression analyses showed that after adjustment for confounding risk factors, the AGR was an independent predictor of cardiac events and HF-associated rehospitalizations in women with HFpEF, but not in men with HFpEF. The addition of AGR to the risk factors significantly improved the net reclassification and integrated discrimination indices in women with HFpEF. This is the first study that highlights the significant association between the AGR and the severity and clinical outcomes of HFpEF in women. Addition of AGR to the risk factors improved its prognostic value for clinical outcomes, which indicates that this variable may serve as a useful clinical biomarker for HFpEF in women.

Associations of the Geriatric Nutritional Risk Index With Femur Bone Mineral Density and Osteoporosis in American Postmenopausal Women: Data From the National Health and Nutrition Examination Survey

Background

The geriatric nutritional risk index (GNRI) has been used as a significant tool to access the nutritional status of the elderly. However, the relationship between the GNRI and femur bone mineral density (BMD) and the risk of osteoporosis remains unclear in American postmenopausal women.

Objectives

We aimed to explore associations between the GNRI with femur BMD and the risk of osteoporosis in American postmenopausal women.

Methods

We merged the continuous National Health and Nutrition Examination Survey (NHANES) 2005–2006, 2007–2008, 2009–2010, 2013–2014, and 2017–2018 to ensure a large and representative sample, including 3,152 participants. The linear relationship between the GNRI and femur BMD was assessed via a weighted multivariate linear regression model. The odds ratios (ORs) and 95% confidence intervals (95% CIs) for the association between the GNRI and the risk of osteoporosis were assessed by a weighted logistic regression model. Moreover, the nonlinear relationship was also characterized by smooth curve fitting (SCF) and a weighted generalized additive model (GAM).

Results

After adjusting for all covariates, the weighted multivariable linear regression models demonstrated that the GNRI was positively correlated with femur BMD. The weighted logistic regression models demonstrated that each unit of increased GNRI value was associated with a decreased risk of osteoporosis of 4.13%. When categorizing GNRI based on quartiles, ORs between the risk of osteoporosis and the GNRI across quintiles 2, 3, and 4 compared with quintile 1 were 0.5565 (95% CI: 0.4791, 0.6463; P &lt; 0.000001), 0.5580 (95% CI: 0.4600, 0.6769; P &lt; 0.000001), and 0.3475 (95% CI: 0.2681, 0.4505; P &lt; 0.000001). The trends similar to the above were also observed in SCF and GAM.

Conclusion

This study indicated that nutritional status, represented by the GNRI, was positively associated with femur BMD and negatively associated with the risk of osteoporosis in American postmenopausal women. The GNRI may be a good tool to identify American postmenopausal women who need further bone health nutritional support.

Associations of geriatric nutrition risk index and other nutritional risk-related indexes with sarcopenia presence and their value in sarcopenia diagnosis

Objective

Standard modalities recommended for sarcopenia diagnosis may be unavailable in primary care settings. We aimed to comprehensively evaluate and compare associations of some better popularized nutritional risk-related indexes with sarcopenia presence and their value in sarcopenia diagnosis in community-dwelling middle-aged and elderly adults, including geriatric nutrition risk index (GNRI), albumin (ALB), calf circumference (CC), mid-arm circumference (MAC), triceps skinfold thickness (TST) and body mass index (BMI).

Methods

Based on the West China Health and Aging Trend study, the current study included participants aged 50 or older who were recruited in 2018. Sarcopenia-related assessment and diagnosis were in line with Asian Working Group for Sarcopenia 2019. For each single index, we assessed its association with sarcopenia presence by univariate and multivariate logistic regression analysis; we also computed diagnostic measures including the area under the receiver operating characteristic curve (AUC) and sensitivity, specificity, accuracy at the optimal cut-off value determined according to Youden’s index.

Results

A total of 3829 subjects were included, consisting of 516 and 3313 subjects in the sarcopenia and non-sarcopenia groups, respectively. Regarding the risk for sarcopenia presence, the fully adjusted odds ratios of GNRI, ALB, CC, MAC, TST and BMI per standard deviation decrease were 2.95 (95% CI 2.51–3.47, P < 0.001), 1.01 (95% CI 0.90–1.15, P = 0.816), 4.56 (95% CI 3.82–5.44, P < 0.001), 4.24 (95% CI 3.56–5.05, P < 0.001), 1.67 (95% CI 1.92–1.45, P < 0.001) and 4.09 (95% CI 3.41–4.91, P < 0.001), respectively. Regarding the value in sarcopenia diagnosis in the entire study population, their AUCs could be ordered as MAC (0.85, 95% CI 0.83–0.86) > GNRI (0.80, 95% CI 0.78–0.82), CC (0.83, 95% CI 0.81–0.85), BMI (0.81, 95% CI 0.79–0.83) > TST (0.72, 95% CI 0.70–0.74) > ALB (0.62, 95% CI 0.60–0.65). At the relevant optimal cut-off values, the sensitivity was the highest for CC (0.83, 95% CI 0.80–0.87) and MAC (0.80, 95% CI 0.77–0.84), while GNRI showed the highest specificity (0.79, 95% CI 0.78–0.81) and accuracy (0.78, 95% 0.76–0.79).

Conclusion

Overall diagnostic performance was the best for MAC, followed by GNRI, CC, BMI, and the worst for TST, ALB in distinguishing sarcopenia from non-sarcopenia in middle-aged and elderly adults in community-based settings. CC or MAC might do better in reducing missed diagnosis, while GNRI was superior in reducing misdiagnosis.

Nutritional Risk Index Improves the GRACE Score Prediction of Clinical Outcomes in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Background: Malnutrition has been shown to be associated with adverse cardiovascular outcomes in many patient populations.

Aims: To investigate the prognostic significance of malnutrition as defined by nutritional risk index (NRI) in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) and whether NRI could improve the GRACE score based prognostic models.

Methods: This study applied NRI among 1,718 patients with ACS undergoing PCI. Patients were divided into three nutritional risk groups according to their baseline NRI: no nutritional risk (NRI ≥ 100), mild nutritional risk (97.5 ≤ NRI <100), and moderate-to-severe nutritional risk (NRI <97.5). The primary endpoint was the composite of major adverse cardiovascular events (MACE), including all-cause death, non-fatal stroke, non-fatal myocardial infarction, or unplanned repeat revascularization.

Results: During a median follow-up of 927 days, 354 patients developed MACE. In the overall population, compared with normal nutritional status, malnutrition was associated with increased risk for MACE [adjusted HR for mild and moderate-to-severe nutritional risk, respectively: 1.368 (95%CI 1.004–1.871) and 1.473 (95%CI 1.064–2.041)], and NRI significantly improved the predictive ability of the GRACE score for MACE (cNRI: 0.070, P = 0.010; IDI: 0.005, P < 0.001). In the diabetes subgroup, malnutrition was associated with nearly 2-fold high adjusted risk of MACE, and the GRACE score combined with NRI appeared to have better predictive ability than that in the overall population.

Conclusion: Malnutrition as defined by NRI was independently associated with MACE in ACS patients who underwent PCI, especially in individuals with diabetes, and improved the predictive ability of the GRACE score based prognostic models.

Nutritional and Non-Nutritional Predictors of Low Spot Urinary Creatinine Concentration in Patients with Heart Failure

Low spot urinary creatinine concentration (SUCR) is a marker of muscle wasting and clinical outcome. The risk factors for low SUCR in heart failure (HF) remain poorly understood. We explored the risk factors for low SUCR related to poor outcomes. In 721 HF patients (age: 52.3 ± 11 years, female: 14%, NYHA: 2.7 ± 0.7) SUCR and Dexa body composition scans were performed. BMI prior HF-onset, weight loss, and appendicular muscle mass were obtained. Each patient was classified as malnutrition or normal by GLIM criteria and three other biochemical indices (CONUT, PNI, and GRNI). Sarcopenia index (SI) as creatinine to cystatin C ratio was also calculated. Within 1 year, 80 (11.1%) patients died. In ROC curve we identified a SUCR value of 0.628 g/L as optimally discriminating surviving from dead. In low SUCR group more advanced HF, higher weight loss and catabolic components of weight trajectory (CCWT), more frequent under-nutrition by GLIM, and lower SI were observed. In multivariate analysis the independent predictors of low SUCR were SI, CCWT, and GNRI score. In conclusion: the risk of low SUCR was associated with a worse outcome. Low SUCR was associated with greater catabolism and sarcopenia but not with biochemical indices of malnutrition.

Predictive Value of Geriatric Nutritional Risk Index in Patients With Coronary Artery Disease: A Meta-Analysis

Background: Low Geriatric Nutritional Risk Index has been identified as an index of impaired nutritional state. The objective of the meta-analysis was to assess the association of the Geriatric Nutritional Risk Index (GNRI) with adverse outcomes in patients with coronary artery disease (CAD).

Methods: Relevant studies were identified by comprehensively searching PubMed and Embase databases in May 2021. Studies assessing the association of GNRI with all-cause mortality or major adverse cardiovascular events (MACEs) in patients with CAD were included. The predictive value of GNRI was summarized by pooling multivariable adjusted risk ratios (RR) with 95% confidence intervals (CI) per GNRI point decrease or the lowest vs. the highest GNRI group.

Results: A total of eight studies involving 9277 patients with CAD were analyzed. Meta-analysis showed that the lowest GNRI was associated with a higher risk of all-cause mortality (RR 2.10; 95% CI 1.68–2.63) and MACEs (RR 2.84; 95% CI 1.56–5.16), respectively. Furthermore, per point decrease in GNRI was associated with 8 and 10% additional risk of all-cause mortality and MACEs. Subgroup analysis indicated that the value of low GNRI in predicting all-cause mortality was not affected by subtype of patients or follow-up duration.

Conclusion: Low GNRI score at baseline was associated with a higher risk of all-cause mortality and cardiovascular events in patients with CAD. The nutritional state estimated by the GNRI score could provide important predictive information in patients with CAD.

Prognostic impact of malnutrition in elderly patients with acute myocardial infarction

We aimed to investigate the prevalence and the prognostic impact of malnutrition using the geriatric nutritional risk index (GNRI) in elderly patients with acute myocardial infarction (AMI). We investigated 130 consecutive patients aged ≥ 75 years who were discharged following successful primary coronary intervention between March 2009 and December 2016. The mean age of the patients was 81.5 ± 5.0 years, and 55.4% of them were male. At discharge, the patients' nutritional statuses were evaluated using the GNRI, which were calculated as follows: 14.89 × serum albumin (g/dL) + 41.7 × body mass index/22. The patients were divided into two groups, a low GNRI group (GNRI < 92) with nutrition-related risk and a high GNRI group (GNRI ≥ 92) without nutrition-related risk. The mean GNRI score of all patients was 95.2 ± 11.0, and 46 patients (35.4%) had a low GNRI score. During the mean follow-up of 1030 ± 850 days, the all-cause mortality was significantly higher in the low GNRI group than in the high GNRI group (32.6% vs. 13.1%, p < 0.001), while the event rates of AMI recurrence and hospitalization due to heart failure did not differ significantly between the two groups. Multivariate Cox proportional analysis revealed that low GNRI was a modest but independent predictor of mortality (hazard ratio, 0.94; 95% confidence interval 0.90-0.98; p = 0.01). Among elderly patients with AMI, malnutrition assessed using the GNRI was often encountered and was an independent predictor of long-term mortality.

Association Between Geriatric Nutritional Risk Index and Frailty in Older Hospitalized Patients

Objective

Previous studies have explored the association between malnutrition and frailty, but no study has investigated whether the Geriatric Nutritional Risk Index (GNRI), a simple and objective nutritional risk screening tool, is associated with the frailty of older adults. The study aimed to examine the relationship between nutrition-related risk, as assessed by the GNRI, and frailty among older hospitalized patients.

Methods

A cross-sectional study was conducted in the West China Hospital of Sichuan University with 740 patients aged ≥70 years between March 2016 and Jan 2017. Nutritional and frailty status was evaluated with the GNRI and FRAIL scale, respectively. The adjusted and unadjusted ordinal logistic regression analyses were used to examine the relationship between nutritional risk and frailty. The ability of GNRI in detecting frailty was assessed by receiver operating characteristic (ROC) curve analysis.

Results

The prevalence of low, moderate, and severe nutritional risk among frail patients were 30.1%, 27.6%, and 12.5%, respectively. Ordinal logistic regression analysis showed that malnutrition assessed by the GNRI had a significant association with frailty after adjustment of age, sex, polypharmacy, comorbidity, vision impairment, hearing impairment, cognitive impairment, and depression. In the ROC analysis, the area under the curve for GNRI identifying frailty was 0.698 (95% CI: 0.66-0.74; P<0.001), and the optimal cut-point value was 97.16 (sensitivity: 64.3%; specificity: 66.9%).

Conclusion

Nutrition-related risk screened by the GNRI was independently associated with frailty. The GNRI could be used as a simple tool in detecting nutritional risk and frailty status of older patients.