Geriatric Nutritional Risk Index Score Research Articles

Does the Geriatric Nutritional Risk Index Play a Predictive Role in Postoperative Atrial Fibrillation and Outcomes in Cardiac Surgery?

<h3>Objectives</h3> Malnutrition is associated with adverse surgical outcomes. The Geriatric Nutritional Risk Index, a nutritional screening tool, could be a predictor of postoperative atrial fibrillation and outcomes in cardiac surgery. <h3>Design</h3> The authors enrolled 292 patients who underwent cardiac surgery and showed postoperative atrial fibrillation during hospitalization, and assessed mortality and readmission during a 90-day follow-up period. <h3>Setting</h3> A large academic hospital in China. <h3>Participants</h3> Participants were divided into low-risk (Geriatric Nutritional Risk Index <98) and no-risk malnutrition groups (Geriatric Nutritional Risk Index ≥98). <h3>Interventions</h3> Univariate and multivariate logistic regression analyses were used to validate the role of the Geriatric Nutritional Risk Index in predicting postoperative atrial fibrillation. Kaplan–Meier analysis was used to examine the effect of Geriatric Nutritional Risk Index scores on mortality and readmission after cardiac surgery. <h3>Measurements and Main Results</h3> A total of 136 patients were in the low-risk malnutrition group. Postoperative atrial fibrillation was more common in the low-risk group (63.2% <i>v</i> 28.8%, p < 0.001). Duration of intensive care unit stays and hospitalization were significantly longer than in the no-risk group (44 [43] <i>v</i> 39 [47] hours, p < 0.001; 18 [7] <i>v</i> 15 [6] days, p < 0.001). Multivariate analysis showed that Geriatric Nutritional Risk Index, age, and NYHA class independently predicted postoperative atrial fibrillation. Kaplan–Meier analysis showed that 90-day all-cause readmission, but not 90-day all-cause mortality, was different between groups based on the Geriatric Nutritional Risk Index (log-rank p < 0.001, log-rank p = 0.09). <h3>Conclusions</h3> The easily accessible Geriatric Nutritional Risk Index used for nutritional assessment before cardiac surgery has a predictive role in postoperative atrial fibrillation, and is related to short-term readmission.

Combined assessment of frailty and nutritional status can be a prognostic indicator after percutaneous coronary intervention.

The cardiac prognosis of patients with frailty and malnutrition remains poorly investigated. This study aimed to investigate the impact of frailty and malnutrition on cardiac prognosis by combining the clinical frailty scale (CFS) and the geriatric nutritional risk index (GNRI) in patients who underwent percutaneous coronary intervention (PCI). In this study, 608 patients who underwent PCI for stable angina pectoris between January 2018 and December 2020 were included. CFS scores of ≥ 4 were defined as high CFS and patients with these scores were considered frail. GNRI scores of ≤ 98.0 were defined as low GNRI and patients with these scores were considered to have malnutrition. Patients were categorized into low-risk (n = 267, low CFS and high GNRI), intermediate-risk (n = 200, high CFS or low GNRI), and high-risk (n = 141, high CFS and low GNRI) groups. Major adverse clinical events (MACEs), including all-cause death, nonfatal myocardial infarction, revascularization, hospitalization for heart failure, and stroke, were assessed. The median follow-up period was 529days. During the follow-up, MACEs were found in 135 patients. The high-risk group were older (77.0 ± 9.2 vs 71.4 ± 10.7 vs 65.0 ± 10.1years, p < 0.001), had higher prevalence rates of chronic kidney disease [61.7% (87/141) vs 37.5% (75/200) vs 16.9% (45/267); p < 0.001] and heart failure [47.5% (67/141) vs 22.5% (45/200) vs 12.4% (33/267), p < 0.001], and had higher C-reactive protein levels (1.64 ± 2.66 vs 1.00 ± 2.02 vs 0.34 ± 0.90mg/dL; p < 0.001) than the intermediate-risk and low-risk groups. The high-risk group [hazard ratio (HR), 4.39; 95% confidence interval (CI), 2.87-6.72; p < 0.001] was an independent predictor of MACEs. In conclusion, patients with both frailty and malnutrition had a higher risk of MACEs after PCI than patients with frailty or malnutrition. Post-PCI patients should be evaluated for combined frailty and malnutrition.

The impact of sarcopenia on short- and long-term outcomes of endoscopic submucosal dissection for early gastric cancer.

Sarcopenia prevalence has increased in proportion to the aging population in Japan. We aimed to investigate the association between sarcopenia and clinical outcomes and the prognostic factors of endoscopic submucosal dissection (ESD) for early gastric cancer (EGC). This retrospective study involved patients aged ≥ 65years who had undergone gastric ESD for EGC at our institution between January 2009 and December 2019. Patients were divided into two groups, namely, a sarcopenia group (109 patients) and a non-sarcopenia group (658 patients), based on the skeletal muscle index and intramuscular adipose tissue content (IMAC). Clinicopathological features, ESD-related adverse events, and outcomes were then compared. In the sarcopenia group, the mean age was higher, whereas performance and nutritional statuses were lower. There were no between-group differences in terms of treatment outcomes. Multivariate analyses (odds ratio [95% confidence interval (CI)]) indicated that a geriatric nutritional risk index score (GNRI) < 92 (2.12 [1.09-4.11], p = 0.03), anticoagulant therapy (1.76 [1.13-2.76], p = 0.01), tumor size ≥ 30mm (2.09 [1.23-3.55], p = 0.01), and sarcopenia (1.90 [1.05-3.45], p = 0.03) were significantly associated with ESD-related adverse events. High Charlson comorbidity index, low prognostic nutritional index, low GNRI, and high IMAC were significantly associated with poor overall survival (OS). OS was significantly shorter in the sarcopenia group even after matching. Patients with sarcopenia had significantly more adverse events and shorter OS; therefore, evaluation of a patient's general condition, including sarcopenia, before ESD is important.

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.

Relationship between initial nutritional status and functional independence measures at discharge in subacute stroke

ObjectiveThis retrospective study examined the association between nutritional status at admission and functional independence measure (FIM™) at discharge. Materials and MethodsThis study included 205 patients, aged ≥ 65, discharged from a convalescent ward between April 2017 and March 2018. The primary outcome was discharge FIMTM, and the secondary outcomes were the length of stay (LOS) and FIM efficiency. The explanatory variables included demographic data, stroke type, admission FIMTM, body mass index (BMI), controlling nutritional status (CONUT), and Geriatric Nutritional Risk Index (GNRI). Patients were divided into three groups based on BMI and GNRI scores and four groups based on the CONUT score. Univariate and multiple regression analyses were performed to predict discharge FIMTM. Kruskal–Wallis and Dunn's tests were also performed for intergroup comparisons. ResultsIn the univariate analyses, age, sex, onset-to-admission interval, admission FIMTM, GNRI, and BMI (all factors were p<0.001) were significant explanatory variables for discharge FIMTM. In the multiple linear regression analysis, admission FIMTM, LOS, age, and onset-to-admission interval were significant explanatory variables (adjusted R2 = 0.791; p<0.001). Although those with poor nutritional status required a longer hospital stay, they achieved the same FIM gain as those without poor nutritional status. ConclusionsNutritional status on admission did not affect the FIMTM at discharge in the convalescent ward. Patients with subacute stroke require adequate rehabilitation regardless of their nutritional status.

The change in nutritional status is related to cardiovascular events in patients with pacemaker implantation: A 4-year follow-up study.

BackgroundThe aim of our study was to evaluate changes in nutritional status as measured by the prognostic nutritional index (PNI) and geriatric nutritional risk index (GNRI) scores, and their abilities to predict clinical prognosis in patients with pacemaker implantation (PMI).MethodsA total of 595 patients who underwent permanent PMI from January 2011 to December 2020 were included. PNI and GNRI scores were separately calculated at the beginning day of PMI operation and at the end of 12-month follow-up, and their net changes (Δ) were calculated by PNI or GNRI scores at follow-up minus the corresponding scores on admission. The cohort patients were divided into low risk of malnutritional status (ΔPNI or ΔGNRI scores ≥ 0) and high risk of malnutritional status (ΔPNI or ΔGNRI scores < 0) groups. Primary outcome measure was a composite major adverse cardiovascular event (MCE), defined as heart failure hospitalization (HFH), myocardial infarction (MI), stroke, or death from any cause, presented as hazard ratios (HR) with 95% confidence intervals (CI) calculated by MCE in the crude or multivariate-adjusted Cox Proportional Hazards models. Receiver operating characteristic (ROC) curve analysis was used to compare the differential ability to predict incident MCEs betweenΔPNI andΔGNRI scores.ResultsIn total, 16% of patients developed the MCE during the follow-up. The cumulative event rates determined by Kaplan–Meier analysis were significantly higher in the high risk of malnutritional patients compared to the low risk of malnutritional patients (P < 0.05). Adjusted multivariate analysis showed that decreased PNI scores (HR: 2.228, 95% CI: 1.482–3.350) and decreased GNRI scores (HR: 2.178, 95% CI: 1.439–3.295) were independently associated with favorable outcomes. ROC curve analysis revealed an area under curve (AUC) of 0.586 forΔPNI scores and AUC of 0.592 for ΔGNRI scores, but their predictive abilities were not statistically different.ConclusionEither positive change of PNI or GNRI scores were associated with reduced risk of MCEs in patients with PMI, and they have similar ability to predict clinical cardiometabolic risk. Additional enhancing nutritional status during follow-up may help to prevent unfavorable prognosis in clinical practices.

Geriatric Nutritional Risk Index is related to the risk of stroke-associated pneumonia.

BackgroundStroke‐associated pneumonia (SAP) occurs frequently after a stroke. Geriatric Nutritional Risk Index (GNRI) is a valuable indicator of elderly individuals’ nutritional status. This research was designed to obtain insight into the link between GNRI and SAP.MethodsPatients with acute ischemic stroke (AIS) were categorized into the SAP and non‐SAP groups. GNRI scores were divided into four layers: Q1, GNRI < 82; Q2, 82≤ GNRI < 92; Q3, 92≤ GNRI ≤98; Q4, GNRI > 98. To identify the independent risk and protective factors of developing SAP, logistic regression analyses were conducted. Additionally, we utilized the restricted cubic spline (RCS) analysis to test the effect of GNRI on the SAP risk.ResultsThe SAP group showed lower GNRI scores than the non‐SAP group (96.88 ± 9.36 vs. 100.88 ± 8.25, p < 0.001). According to the logistic regression model, the Q1 and Q2 layers showed a higher risk of SAP than the Q3 layer, while the Q4 layer showed a lower SAP risk (all p < 0.05). Besides, the RCS model found that the risk of SAP dropped dramatically as GNRI scores increased, which got stable when the GNRI score was more significant than 100.ConclusionLower GNRI scores were linked to a higher prevalence of SAP. In clinical practice, GNRI showed predictive value for SAP, which could be helpful in early SAP intervention and therapy.

Geriatric nutritional risk index is associated with retinopathy in patients with type 2 diabetes

The geriatric nutritional risk index (GNRI) is a nutrition-related risk assessment tool and has been used in various clinical settings. The relationship between body mass index (BMI) and the associated risk of diabetic retinopathy (DR) remains inconclusive. We aimed to evaluate the association between GNRI and DR in patients with type 2 diabetes. We included a total of 1359 patients with type 2 diabetes who followed up in our diabetes clinic and underwent fundus photographic examinations from August 2006 to February 2014. DR was assessed by retinal ophthalmologists using comprehensive ophthalmologic examinations. Patients were divided into tertiles according to their GNRI category. Patients in a lower GNRI tertile tended to have a higher proportion of nonproliferative DR (NPDR) and proliferative DR (PDR) compared with those in the other tertiles. The risk of PDR was higher in patients included in GNRI tertile 1 (Odds ratio (OR) 2.252, 95% Confidence Interval (CI) 1.080–4.823, P = 0.033) and GNRI tertile 2 (OR 2.602, 95% CI 1.323–5.336, P = 0.007) compared with those in GNRI tertile 3. In patients with lower GNRIs, the prevalence of DR was higher than in those with higher GNRIs. When GNRI was compared with BMI using the area under the curve, overall accuracy was high in GNRI. The risk of PDR was high in patients with low GNRI and there is an inverse association between GNRI scores and prevalence of DR. GNRI might be a useful tool to predict DR in patients with type 2 diabetes.

The severity of nutrition and pneumonia predicts survival in patients with aspiration pneumonia: A retrospective observational study

IntroductionAspiration pneumonia is a common problem among older adults; it has a high mortality rate and the prevalence is increasing. Reports on the risk factors for mortality in patients with aspiration pneumonia are limited. This study aimed to evaluate the risk factors for 90‐day survival in patients with aspiration pneumonia.MethodsThis retrospective observational study was conducted at Seirei Mikatahara General Hospital between 1 April 2015 and 31 March 2016. Patients with aspiration pneumonia who had dysphagia or aspiration confirmed by modified water swallow test or VideoEndoscopic examination of swallowing were included. The primary endpoint was 90‐day survival. We performed univariate and multivariate logistic regression analyses with survival and non‐survival at 90 days as the independent variables.ResultsA total of 276 patients were recruited for this study. The A‐DROP score (odds ratio [OR] = 2.440; 95% confidence interval [CI], 1.400–4.270; p < 0.01), Geriatric Nutritional Risk Index score (OR = 0.383; 95% CI, 0.178–0.824; p < 0.05) and sex (OR = 0.365; 95% CI, 0.153–0.869; p < 0.05) were independent early predictors of mortality.ConclusionThe results suggest that nutritional status and the severity of pneumonia are important factors that predict life expectancy in patients with aspiration pneumonia.

Unplanned hemodialysis initiation and low geriatric nutritional risk index scores are associated with end-stage renal disease outcomes

Patients with end-stage renal disease (ESRD) have a low nutritional status and a high mortality risk. The geriatric nutritional risk index (GNRI) is a predictive marker of malnutrition. However, the association between unplanned hemodialysis (HD) and GNRI with mortality remains unclear. In total, 162 patients underwent HD at our hospital. They were divided into two groups: those with unplanned initiation with a central venous catheter (CVC; n = 62) and those with planned initiation with prepared vascular access (n = 100). There were no significant differences in sex, age, malignant tumor, hypertension, and vascular disease, while there were significant differences in the times from the first visit to HD initiation (zero vs. six times, p < 0.001) and days between the first visit and HD initiation (5 vs. 175 days, p < 0.001). The CVC insertion group had significantly lower GNRI scores at initiation (85.7 vs. 99.0, p < 0.001). The adjusted hazard ratios were 4.002 and 3.018 for the GNRI scores and frequency, respectively. The 3-year survival rate was significantly lower in the CVC + low GNRI group (p < 0.0001). The GNRI after 1 month was significantly inferior in the CVC insertion group. Inadequate general management due to late referral to the nephrology department is a risk factor for patients with ESRD.

Association between Geriatric Nutritional Risk Index and Depression after Ischemic Stroke.

Background: Malnutrition is associated with poor outcomes after stroke. However, the association between malnutrition and post-stroke depression (PSD) remains unelucidated. We aimed to explore the association between geriatric nutritional risk index (GNRI) and depression after ischemic stroke. Methods: In total, 344 patients with ischemic stroke were included in this analysis. The GNRI was calculated from serum albumin level, weight, and height at admission. Malnutrition was defined using the GNRI cutoff points. A lower GNRI score indicates an elevated nutritional risk. The outcome was depression, measured 14 days after ischemic stroke. Logistic regression models were used to estimate the association between the GNRI and risk of PSD. Results: A total of 22.9% developed PSD 14 days after stroke. The mean GNRI was 99.3 ± 6.0, and 53.8% of the patients had malnutrition. After adjusting for covariates, baseline malnutrition was not associated with risk of PSD (OR, 0.670; 95%CI, 0.370–1.213; p = 0.186). The restricted cubic splines revealed a U-shaped association between the GNRI and PSD. Compared to moderate GNRI, higher GNRI (OR, 2.368; 95%CI, 0.983–5.701; p = 0.085) or lower GNRI (OR, 2.226; 95%CI, 0.890–5.563; p = 0.087) did not significantly increase the risk of PSD. Conclusion: A low GNRI was not associated with an increased risk of depression after ischemic stroke.

Prognostic Value of the Geriatric Nutritional Risk Index in Patients with Non-Small Cell Lung Cancer: A Meta-Analysis

This study aimed to quantitatively identify the prognostic and clinicopathological value of the geriatric nutritional risk index (GNRI) in non-small cell lung cancer (NSCLC) through a meta-analysis. The electronic databases PubMed, Web of Science, Embase, and Cochrane Library were thoroughly searched from inception to December 14, 2021. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to evaluate the prognostic value of GNRI. Odds ratios (ORs) and 95%CIs were combined to estimate the clinicopathological significance of the GNRI in NSCLC. Seven studies with 2,023 patients were included in the meta-analysis. A low GNRI score was significantly associated with poor overall survival (OS) (HR = 2.01, 95%CI = 1.65–2.44, p < 0.001) and worse progression-free survival (PFS), recurrence–free survival (RFS), and cancer-specific survival (CSS) (HR = 1.81, 95%CI = 1.48–2.22, p < 0.001) in NSCLC. Furthermore, a low GNRI score was significantly associated with the histological type of non-adenocarcinoma (OR= 1.55, 95%CI = 1.19–2.03, p = 0.001) and Eastern Cooperative Oncology Group performance status (ECOG PS) ≥2 (OR= 2.81, 95%CI= 1.49–5.32, p = 0.001). A low GNRI score is a significant and effective prognostic marker for poor survival outcomes in patients with NSCLC. In addition, low GNRI score was correlated with higher ECOG PS scores.

GNRI And Conut Scores: Simple Predictors of Sarcopenia in Metastatic Colorectal Cancer Patients.

To evaluate the correlation between sarcopenia and inflammation- and nutrition-based markers in metastatic colorectal cancer (mCRC) patients. Age, body mass index (BMI), neutrophil/lymphocyte ratio (NLR), modified Glasgow prognostic score (mGPS), prognostic nutrition index (PNI), cachexia index (CIn), skeletal muscle index (SMI), controlling nutritional status (CONUT) score, and geriatric nutritional risk index (GNRI) were evaluated in 185 patients. Ideal cut-off values for the GNRI score were determined with the ROC curve analysis, and the patients were divided into two groups as low and high GNRI. Sarcopenia was diagnosed using CT scanning, the gold standard method. Univariate and multivariate Cox proportional hazard analyses were done based on the above-listed parameters to assess the correlation between sarcopenia and changes in immuno-nutrition and inflammatory response. Kaplan-Meier analysis was also done to evaluate survival. Univariate analysis of the 185 patients based on the EGWSOP 2018 threshold values showed correlation between the presence of sarcopenia and male gender, diagnosed colon cancer, history of metastasectomy, BMI < 24, high mGPS score, PNI score ≥ 45, high CONUT score, and low GNRI score (p < 0.05). In multivariate analysis, low GNRI (HR: 2.40; 95% CI: 1.03-5.544; p = 0.040), and high-CONUT scores (HR: 2.01; 95% CI: 1.06-3.73; p = 0.029) were identified as independent prognostic factors for the presence of sarcopenia. GNRI and CONUT scores are elementary and practical predictors for sarcopenia, a condition which is associated with poor outcomes in mCRC patients.

A Comparative Study of Three Nutritional Risk/Screening Indices for Predicting Cardiac Events and Physical Functioning Among Patients with Acute Heart Failure.

Undernutrition is very common among patients with heart failure (HF). This study evaluated the prognostic values of three nutritional risk/screening indices among patients with acute HF. We retrospectively calculated scores for 465 patients with acute HF using the Controlling Nutritional Status (CONUT) tool, the Geriatric Nutritional Risk Index (GNRI), and the Mini-Nutritional Assessment Short Form (MNA-SF). The outcomes of interest were the 1-year rate of cardiac events (cardiac-related death or HF-related readmission) and the Barthel index as an index of physical function during hospitalization. The CONUT, GNRI, and MNA-SF scores were significantly correlated, although the proportions of a normal nutritional state varied (CONUT: 18.3%, GNRI: 32.9%, and MNA-SF: 43.9%). Kaplan-Meier estimates revealed that cardiac events were more common among patients with undernutrition based on the CONUT score, and multivariable regression analysis revealed that only the CONUT score independently predicted poor outcomes. Furthermore, changes in the Barthel index during hospitalization were significantly correlated with the CONUT score but not with the GNRI and MNA-SF scores. In receiver operating characteristic analyses, the CONUT score had the most powerful predictive values on both the postdischarge incidence of cardiac events and the decline of physical function during hospitalization compared with the GNRI and the MNA-SF. These results indicate that the CONUT score might provide useful information for predicting poor outcomes in patients with acute HF.

Evaluation of three nutritional indices as predictors of 2-year mortality and major amputation in patients with chronic limb-threatening ischemia.

The present study aimed to examine which nutritional index, such as the controlling nutritional status (CONUT), prognostic nutritional index (PNI), and geriatric nutritional risk index (GNRI), is better for predicting prognosis in patients with chronic limb-threatening ischemia (CLTI) following revascularization. We retrospectively analyzed data of patients who underwent revascularization for CLTI between 2008 and 2020. The endpoints were 2-year overall survival and limb salvage. The optimal cutoff values of 2-year overall survival and major amputation were determined by receiver operating characteristic curve analyses. A total of 238 patients with CLTI and 289 limbs were analyzed. The 2-year overall survival rates were 48.9%, 54.6%, and 53.5% in patients with CONUT score ≥4, PNI score <42.6, and GNRI <98.4 compared with 80.0%, 80.0%, and 78.4% in patients with CONUT score <4, PNI score ≥42.6, and GNRI ≥98.4 (p < 0.01). Age, non-ambulatory status, hemodialysis, and nutritional indices were independent risk factors for 2-year mortality in the multivariate analyses. The 2-year limb salvage rates were 70.1%, 82.2%, and 81.9% in patients with CONUT score ≥7, PNI score <41.9, and GNRI <95.3 compared with 92.8%, 98.3%, and 94.2% in patients with CONUT score <7, PNI score ≥41.9, and GNRI ≥95.3 (p < 0.01). Wound, ischemia, and foot infection stage and each nutritional index (CONUT and PNI) were independent risk factors for major amputation in multivariate analyses. The overall survival and limb salvage rates of patients with malnutrition diagnosed by CONUT score were poor compared with those of normal nutrition or malnutrition diagnosed by PNI and/or GNRI scores. The CONUT, PNI, and GNRI scores can predict the 2-year overall survival in patients with CLTI after revascularization. The CONUT and PNI scores were associated with major amputation.

Potential association with malnutrition and allocation of combination medical therapies in hospitalized heart failure patients with reduced ejection fraction

Malnutrition is common in patients with heart failure with reduced ejection fraction (HFrEF) and may influence the long-term prognosis and allocation of combination medical therapy. We reviewed 1231 consecutive patient-level records from a multicenter Japanese registry of hospitalized HFrEF patients. Nutritional status was assessed using geriatric nutritional risk index (GNRI). Combination medical therapy were categorized based on the use of beta-blockers, renin-angiotensin system inhibitors, and mineralocorticoid receptor antagonists. The composite outcome of all-cause death and HF rehospitalization was assessed. The mean age was 72.0 ± 14.2 years and 42.6% patients were malnourished (GNRI < 92). At discharge, 43.6% and 33.4% of patients were receiving two and three agents, respectively. Malnourished patients had lower rates of combination medical therapy use. The standardized GNRI score was independently associated with the occurrence of adverse events (hazard ratio [HR]: 0.88, 95% confidence interval [CI] 0.79–0.98). Regardless of the GNRI score, referenced to patients receiving single agent, risk of adverse events were lower with those receiving three (HR: 0.70, 95% CI 0.55–0.91) or two agents (HR: 0.70, 95% CI 0.56–0.89). Malnutrition assessed by GNRI score predicts long-term adverse outcomes among hospitalized HFrEF patients. However, its prognosis may be modified with combination medical therapy.

The Impact of Nutritional Status on the Outcome of Transcatheter Aortic Valve Implantation.

The present study aims to evaluate how nutritional status may affect transcatheter aortic valve implantation (TAVI) outcomes. This is a retrospective study of 383 TAVI patients. In-hospital, 1-month, and 12-month survival was evaluated. Since most patients undergoing TAVI are over 75 years old, the NRI definition for a geriatric population (GNRI) was used. Preoperative baseline clinical and laboratory data were collected and then the corresponding nutritional status was calculated, including Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNRI), and Controlling Nutritional Status Score (CONUT). Survival analysis and receiver operating characteristic curve (ROC) analysis were used to evaluate the correlation between these parameters and TAVI outcome. By CONUT and GNRI scores, 168 (58.9%) and 40 (14.0%) patients were considered to have mild malnutrition, respectively. By using PNI, CONUT, and GNRI scores, 16 (5.7%), 29 (10.3%), and 39 (13.7%) patients were moderately or severely malnourished. Survival analysis showed that patients with worse nutritional status had a worse prognosis regardless of the nutritional score used. Subgroup analysis showed that these differences remained significant in subgroups of patients over age 75. COX multivariate analysis showed that GNRI, PNI, and CONUT were independently associated with all-cause mortality during the follow-up. Patients with worse nutritional status had a worse prognosis regardless of the nutritional score used. Subgroup analysis showed that these differences remained significant in subgroups of patients over age 75. GNRI, PNI, and CONUT were independent predictors of all-cause mortality after TAVI.

Diagnostic performance of nutritional indicators in patients with heart failure.

AimsThe aim of this study was to compare the diagnostic performance of the nutritional indicators, the mini nutritional assessment‐short form (MNA‐SF), the geriatric nutritional risk index (GNRI), and the controlling nutritional status (CONUT), in heart failure (HF) patients.Methods and resultsNutritional status was prospectively assessed by the aforementioned three nutritional indicators in 150 outpatients with HF who were then followed for 1 year. The prevalence of patients with the nutritional risk as assessed by the MNA‐SF, GNRI, and CONUT scores was 50.0%, 13.3%, and 54.0%, respectively. There was slight agreement of nutritional risk assessment between the MNA‐SF and GNRI scores (κ coefficient = 0.16), as well as the GNRI and CONUT scores (κ = 0.11), but poor agreement between the MNA‐SF and CONUT scores (κ = −0.09). The CONUT score had the lowest area under the curve (AUC) for the identification of low body weight, low muscle mass, and low physical function among the three indicators (all P < 0.05). Compared with the MNA‐SF score, both the GNRI and CONUT scores had lower AUCs for the identification of reduced dietary intake and weight loss (all P < 0.05). There was no significant difference in predicting all‐cause mortality or HF rehospitalization among the three indicators. The prescription of statins reduced the diagnostic performance of the CONUT score, as the CONUT score includes cholesterol level assessment.ConclusionsOf the three indicators, the diagnostic ability of the MNA‐SF score was the highest, and that of the CONUT score was the lowest, for the assessment of HF patient nutritional status. The CONUT score may misrepresent nutritional status, particularly in patients receiving statins.

Efficacy of the Nutritional Risk Index, Geriatric Nutritional Risk Index, BMI, and GLIM-Defined Malnutrition in Predicting Survival of Patients with Head and Neck Cancer Patients Qualified for Home Enteral Nutrition.

Malnutrition is a poor prognostic factor in cancer disease. In case of head and neck cancer, there are multiple disease symptoms and side effects of treatment that increase the risk of malnutrition. The aim of the study is to assess the association between nutritional status at the time of qualification for home enteral nutrition (HEN) and overall survival of patients with head and neck cancer (HNC), and assessment usefulness of selected nutritional indices as prognostic factors. The retrospective survival analysis involved 157 patients with HNC referred to HEN between January 2018 and October 2021. The nutritional status assessment was performed at the qualification for HEN visit. We have analyzed results of body mass index (BMI), Nutritional Risk Index (NRI) for patients <65 years, Geriatric Nutritional Risk Index (GNRI) for patients ≥65 years and malnutrition defined by Global Leadership Initiative on Malnutrition (GLIM). The mean patient survival was 44.7 weeks and the median was 23.9 weeks. Patients with low NRI and GNRI score had a higher risk of death (NRI: p = 0.0229; GNRI: p = 0.371). NRI, GNRI, and malnutrition defined by GLIM were superior to BMI as prognostic markers for survival. Results suggest that the use of NRI, GNRI, and GLIM criteria could provide useful prognostic information. The longer survival since the qualifying visit for home enteral nutrition suggests that nutritional management could be initiated earlier.

Malnutrition and Risk of Mortality in Ischemic Stroke Patients Treated With Intravenous Thrombolysis.

Background and PurposeMalnutrition is highly prevalent in ischemic stroke patients. We aimed to investigate whether malnutrition indexes may be useful in predicting mortality at 90 days in ischemic stroke patients treated with intravenous thrombolysis.MethodsWe retrospectively analyzed consecutive patients who underwent thrombolytic therapy at three comprehensive stroke centers. Malnutrition was assessed using the controlling nutritional status (CONUT) score, geriatric nutritional risk index (GNRI), and prognostic nutritional index (PNI).ResultsOf 979 patients (mean age, 66.8 years; males, 63.6%) included in this study, 91 (9.3%; 95% confidence interval [CI]: 8.4–10.2%) died at 3-month follow up. According to the CONUT, GNRI, and PNI scores, 9.9, 33.7, and 7.0% of patients were moderately or severely malnourished, respectively; 64.0% were at least mildly malnourished by at least 1 malnutrition index. In the multivariate regression model after adjusting for potential confounders, malnutrition (severe risk versus normal nutritional status) was significantly associated with an increased risk of mortality for CONUT scores (adjusted odds ratio [OR] 16.16, 95%CI, 7.86-67.11; P < 0.001), GNRI scores (adjusted OR 9.82, 4.10-23.51; P < 0.001) and PNI scores (adjusted OR 12.74, 5.56-29.19; P < 0.001). Similar results were found when the malnutrition scores were analyzed as continuous variables. Adding the three malnutrition indexes to models containing conventional risk factors significantly improved risk reclassification for 3-month mortality.ConclusionOur study showed that malnutrition may be associated with a higher risk of mortality at 3 months in ischemic stroke after intravenous thrombolysis.