The relationship between Geriatric Nutritional Risk Index (GNRI) and in-hospital mortality in critically ill patients with Acute Kidney Injury (AKI).

BACKGROUND: The role of the geriatric nutritional risk index (GNRI) as a prognostic factor in intensive care unit (ICU) patients with acute kidney injury (AKI) remains uncertain. OBJECTIVES: The aim of this study was to investigate the impact of the GNRI on mortality outcomes in critically ill patients with AKI. METHODS: For this retrospective study, we included 12,058 patients who were diagnosed with AKI based on ICD-9 codes from the eICU Collaborative Research Database. Based on the values of GNRI, nutrition-related risks were categorized into four groups: major risk (GNRI < 82), moderate risk (82 ≤ GNRI < 92), low risk (92 ≤ GNRI < 98), and no risk (GNRI ≥ 98). Multivariate analysis was used to evaluate the relationship between GNRI and outcomes. RESULTS: Patients with higher nutrition-related risk tended to be older, female, had lower blood pressure, lower body mass index, and more comorbidities. Multivariate analysis showed GNRI scores were associated with in-hospital mortality. (Major risk vs. No risk: OR, 95% CI: 1.90, 1.54-2.33, P < 0.001, P for trend < 0.001). Moreover, increased nutrition-related risk was negatively associated with the length of hospital stay (Coefficient: -0.033; P < 0.001) and the length of ICU stay (Coefficient: -0.108; P < 0.001). The association between GNRI scores and the risks of in-hospital mortality was consistent in all subgroups. CONCLUSIONS: GNRI serves as a significant nutrition assessment tool that is pivotal to predicting the prognosis of critically ill patients with AKI.

Evaluating the Impact of Nutritional Risk on Stress-Induced Hyperglycemia and Trauma Patient Outcomes.

INTRODUCTION: Stress-induced hyperglycemia (SIH) and malnutrition are common in trauma patients and are linked to worse outcomes. This study examined the influence of nutritional status, determined by the Geriatric Nutritional Risk Index (GNRI), on the incidence of SIH in trauma patients. METHODS: A retrospective analysis was conducted on adult trauma patients admitted to a Level I trauma center from 1 January 2009 to December 31, 2021. Patients were categorized into four groups: SIH, diabetic hyperglycemia (DH), diabetic normoglycemia (DN), and non-diabetic normoglycemia (NDN). Nutritional status was assessed using GNRI: high risk (GNRI < 82), moderate risk (82 ≤ GNRI < 92), low risk (92 ≤ GNRI ≤ 98), and no risk (GNRI > 98). Incidence of SIH and outcomes were analyzed across GNRI groups. RESULTS: SIH was associated with higher mortality across all GNRI groups compared to NDN, with the highest rate (45.7%) in the high-risk group. Mortality decreased as GNRI increased in all glucose groups. NDN patients had the lowest mortality rates across GNRI groups. There was no correlation between GNRI and SIH incidence (p = 0.259). CONCLUSION: SIH significantly influenced mortality across all nutritional status groups, with the highest impact in malnourished patients. Although malnutrition did not affect SIH incidence, both SIH and poor nutritional status independently contributed to worse trauma outcomes. Targeted management of hyperglycemia and nutritional deficiencies is crucial for improving survival.

The Geriatric Nutritional Risk Index as a prognostic factor in patients treated with immune checkpoint inhibitors with non-small-cell lung cancer.

Background: Globally, non-small cell lung cancer (NSCLC) is a leading factor in cancer-related mortality. Additionally, the Geriatric Nutritional Risk Index (GNRI) has been assessed as a predictive and prognostic indicator in various types of carcinomas. Our study aims to assess the prognostic importance of GNRI computed at diagnosis in NSCLC patients receiving immune checkpoint inhibitors (ICIs). Methods: The study evaluated 148 patients who underwent immunotherapy for NSCLC from January 1, 2018, through December 31, 2021, retrospectively. Patients combined with other malignant tumors or severe comorbidities were excluded from the study. The receiver operating characteristic (ROC) curve was employed in regulating the ideal cutoff worth of GNRI. Survival outcomes were evaluated through Kaplan-Meier analysis. Following this, both univariate and multivariate analyses were conducted utilizing Cox regression analysis to identify any potential factors that may influence the survival outcomes. Results: The cutoff point for GNRI was 108.15 [area under the curve (AUC) =0.575, P=0.048]. Further analysis using the Kaplan-Meier method demonstrated that individuals in the high GNRI group had significantly longer progression-free survival (PFS) and overall survival (OS) compared to those in the low GNRI group (P=0.02, P=0.01). The further stratified study showed that GNRI had greater predictive value in tumor node metastasis (TNM) stage II-III and elderly (age ≥65 years) NSCLC patients undergoing ICI therapy. The multivariate Cox regression analysis indicated that GNRI [hazard ratio (HR): 0.536, P=0.03], obesity (HR: 16.283, P<0.001), and surgical history (HR: 0.305, P<0.001) were associated with poorer survival rates. Conclusions: Among patients undergoing ICI therapy for NSCLC, GNRI is an effective independent prognostic indicator, and a high GNRI at diagnosis is substantially related with longer PFS and OS. The incorporation of GNRI in pre-treatment evaluations within clinical settings is beneficial.

Geriatric nutritional risk index as a predictor for surgical site infection in malignant musculoskeletal tumours of the trunk.

BACKGROUND AND OBJECTIVE: Surgical site infection (SSI) is common in surgery for malignant musculoskeletal tumours, specifically those arising from the trunk. In this study, we investigated the risk factors for SSI after resection of musculoskeletal tumours of the trunk. METHODS: This retrospective observational study included 125 patients (72 males, 53 females) with musculoskeletal tumours of the trunk in our hospital from 1 April 2008 to 31 August 2023. The incidence of SSI and its risk factors were investigated. RESULTS: SSI was observed in 26% (32/125), and the median time to SSI was 22 days. On multivariate analysis, the following were identified as risk factors for SSI: tumours arising caudal to Jacoby's line (hazard ratio [HR] 4.04; P = .0107), soft tissue reconstruction (HR 3.43; P = .0131), and low Geriatric Nutritional Risk Index (GNRI) (HR 0.96; P = .0304). Patients were classified into two risk categories based on GNRI scores: the risk group (GNRI ≤98) and no risk group (>98). The risk group showed a significantly lower overall noninfection survival rate (P = .023). CONCLUSION: Tumours arising caudal to Jacoby line, soft tissue reconstruction, and lower GNRI were risk factors for SSI. Preoperative and postoperative nutritional interventions should be considered to improve GNRI.

Geriatric Nutritional Risk Index Is an Independent Prognostic Factor for Patients With Esophageal Cancer Who Receive Curative Treatment.

BACKGROUND/AIM: The perioperative nutritional status has recently been reported to influence the prognosis of various types of cancer. We investigated the relationship between the Geriatric Nutritional Risk Index (GNRI) and overall survival (OS) and recurrence-free survival (RFS) in patients with esophageal cancer who received radical and adjuvant therapy. PATIENTS AND METHODS: Patients who underwent radical resection for esophageal cancer at our hospital (n=187) were included. Background characteristics, surgical factors, and OS were examined retrospectively. The GNRI was calculated using preoperative values, with GNRI <98 classified as low-GNRI. RESULTS: Seventy-five and 112 patients were classified into the GNRI-low and -high groups, respectively. The 3- and 5-year OS rates were 75.7% and 66.7%, respectively, in the GNRI-high group and 43.2% and 36.7% in the GNRI-low group; the difference was statistically significant (p<0.001). In the univariate and multivariate analyses, low-GNRI was selected as a risk factor for OS. The hazard ratio for low-GNRI was 2.184 (95% confidence interval=1.361-3.508, p=0.001). The 5-year RFS rate in the high- and low-GNRI groups was 54.6% and 25.0%, respectively (p=0.001). In the univariate and multivariate analyses, low-GNRI was a risk factor for RFS. The hazard ratio for low-GNRI was 1.704 (95%CI=1.121-2.590, p=0.013). Regarding the type of recurrence, lymph node recurrence was significantly more common in the low-GNRI group (p=0.008). CONCLUSION: Low-GNRI was an independent risk factor for OS and RFS after radical resection of esophageal cancer. The preoperative GNRI may be a useful prognostic factor after esophageal cancer surgery.

Association between the serum zinc level and nutritional status represented by the geriatric nutritional Rrisk index.

BACKGROUND: Although it is widely known that patients with chronic kidney disease (CKD) can develop zinc deficiency, in our previous analysis, the estimated glomerular filtration rate (eGFR) was not independently associated with the serum zinc level. Thus, a post hoc analysis was conducted to investigate the involvement of nutritional status. METHODS: A total of 655 subjects not on dialysis (402 males; mean age, 57 ± 18 years) who underwent serum zinc level measurements at Jikei University Hospital between April 2018 and March 2019 were selected using the Standardized Structured Medical Information eXchange2 (SS-MIX2) system. In addition, anthropometric data and the Geriatric Nutritional Risk Index (GNRI) representing nutritional status were obtained, and the relationship between the serum zinc level and nutritional status was investigated by multiple regression analysis. RESULTS: The serum albumin level and the GNRI were lower in the zinc-deficiency group, and both were positively associated with the serum zinc level (rho = 0.44, P < 0.01 and rho = 0.44, P < 0.01, respectively). On multiple regression analysis, the GNRI (t = 3.09, P < 0.01) and serum albumin level (t = 4.75, P < 0.01) were independently associated with the serum zinc level. Although a higher eGFR was associated with a higher serum zinc level, this association disappeared on multivariate analysis. CONCLUSION: In this post hoc analysis, the GNRI, as well as the serum albumin level, were correlated with the serum zinc level, indicating that nutritional status is an important determinant of the zinc level. Further investigations are needed to clarify the effects of nutritional status and kidney function on zinc deficiency.

A nomogram prognostic model for diffuse large B-cell lymphoma based on SUVmax and GNRI in elderly patients.

To establish a nomogram for elderly patients with diffuse large B-cell lymphoma (DLBCL) based on nutritional and imaging features. The data of 221 elderly pretreatment DLBCL patients were retrospectively analyzed. All cases were randomly separated into the training group and validation group. A nomogram was built based on the results of multivariate analysis. A nomogram was established based on maximum standardized uptake value (SUVmax), geriatric nutritional risk index (GNRI), and lactate dehydrogenase. The concordance index (C-index) of the nomogram was 0.772 for the training group and 0.729 for the validation group, and similar results were found in the area under the curve (AUC). The calibration curve showed favorable consistency between prediction and real survival. The decision curve analysis (DCA) also showed that the nomogram had favorable clinical effectiveness. The new risk-stratification model divided patients into three groups with obvious survival. The C-index and AUCs for the new model were greater than those of IPI and NCCN-IPI. The DCA curve suggested that the new model had better clinical effectiveness than the IPI and NCCN-IPI. The nomogram prognostic model based on SUVmax and GNRI performed superior to NCCN-IPI and equal to IPI for risk stratification of elderly DLBCL patients.

Use of the Geriatric Nutritional Risk Index to Assess Risk for Postoperative Complications Following Posterior Cervical Decompression/Fusion.

BACKGROUND: Posterior cervical decompression with or without fusion (PCD/F) is used to manage degenerative spinal conditions. Malnutrition has been implicated for poor outcomes in spine surgery. The aim of this study was to assess the ability of the Geriatric Nutritional Risk Index (GNRI) as a risk calculator for postoperative complications in patients undergoing PCD/F. METHODS: The 2006 to 2018 American College of Surgeons National Surgery Quality Improvement Program Database was queried for patients undergoing PCD/F. Nutritional status was categorized as normal (GNRI greater than 98), moderately malnourished (GNRI 92-98), or severely malnourished (GNRI less than or equal to 92). Complications within 30 days of surgery were compared among the groups. Preoperative data that were statistically significant (P < 0.05) upon univariate χ2 analysis were included in the univariate then multivariate binary regression model to calculate adjusted ORs. All ORs were assessed at the 95% CI. RESULTS: Of the 7597 PCD/F patients identified, 15.6% were severely malnourished and 19.1% were moderately malnourished. Severe and moderate malnourishment were independent risk factors for mortality (OR = 3.790, 95% CI 2.492-5.763, P < 0.001; OR = 2.150, 95% CI 1.351-3.421, P = 0.011). Severe malnourishment was an independent risk factor for sepsis/septic shock (OR = 3.448, 95% CI 2.402-4.948, P < 0.001). CONCLUSIONS: In elderly patients undergoing PCD/F, severe malnutrition, as defined by the GNRI, was an independent risk factor for mortality and sepsis/septic shock. CLINICAL RELEVANCE: The GNRI may be more useful than other indices for risk stratification in elderly patients because it accounts for confounding variables such as hydration status and paradoxical malnourishment in obese patients.

The impact of geriatric nutritional risk index on one-year outcomes in hospitalized elderly patients with heart failure.

Background: Strategies that accurately predict outcomes in elderly heart failure (HF) patients have not been sufficiently established. In previous reports, nutritional status, ability to perform activities of daily living (ADL), and lower limb muscle strength are known prognostic factors associated with cardiac rehabilitation (CR). In the present study, we investigated which CR factors can accurately predict one-year outcomes in elderly patients with HF among the above factors. Methods: Hospitalized patients with HF over 65 years of age from January 2016 to January 2022 were retrospectively enrolled in the Yamaguchi Prefectural Grand Medical (YPGM) Center. They were consequently recruited to this single-center retrospective cohort study. Nutritional status, ADL, and lower limb muscle strength were assessed by geriatric nutritional risk index (GNRI), Barthel index (BI), and short physical performance battery (SPPB) at discharge, respectively. One year after discharge, the primary and secondary outcomes were evaluated by all-cause death or HF readmission and major adverse cardiac and cerebrovascular events (MACCE), respectively. Results: Overall, 1,078 HF patients were admitted to YPGM Center. Of those, 839 (median age 84.0, 52% female) met the study criteria. During the follow-up of 228.0 days, 72 patients reached all-cause death (8%), 215 experienced HF readmission (23%), and 267 reached MACCE (30%: 25 HF death, six cardiac death, and 13 strokes). A multivariate Cox proportional hazard regression analysis revealed that the GNRI predicted the primary outcome (Hazard ratio [HR]: 0.957; 95% confidence interval [CI]: 0.934-0.980; p < 0.001) and the secondary outcome (HR: 0.963; 95%CI: 0.940-0.986; p = 0.002). Furthermore, a multiple logistic regression model using the GNRI most accurately predicted the primary and secondary outcomes compared to those with the SPPB or BI models. Conclusion: A nutrition status model using GNRI provided a better predictive value than ADL ability or lower limb muscle strength. It should be recognized that HF patients with a low GNRI at discharge may have a poor prognosis at one year.

Geriatric nutritional risk index after neoadjuvant chemoradiotherapy and survival in older patients with advanced rectal cancer.

PURPOSE: To investigate the clinical impact of malnutrition on the survival of older patients with advanced rectal cancer who underwent neoadjuvant chemoradiotherapy. METHODS: We investigated the clinical significance of the geriatric nutritional risk index (GNRI) in 237 patients aged over 60 years with clinical stage II/III rectal adenocarcinoma who were treated with neoadjuvant long-course chemoradiotherapy or total neoadjuvant therapy followed by radical resection from 2004 to 2017. Pre-treatment and post-treatment GNRI were evaluated, with patients split into low (< 98) and high (≥ 98) GNRI groups. The prognostic impact of pre-treatment and post-treatment GNRI levels on overall survival (OS), post-recurrence survival (PRS), and disease-free survival (DFS) was evaluated using univariate and multivariate analyses. RESULTS: Fifty-seven patients (24.1%) before neoadjuvant treatment and 94 patients (39.7%) after neoadjuvant treatment were categorized with low GNRI. Pre-treatment GNRI levels were not associated with OS (p = 0.80) or DFS (p = 0.70). Patients in the post-treatment low GNRI group had significantly poorer OS than those in the post-treatment high GNRI group (p = 0.0005). The multivariate analysis showed that post-treatment low GNRI levels were independently associated with poorer OS (hazard ratio, 3.06; 95% confidence interval, 1.55-6.05; p = 0.001). Although post-treatment GNRI levels were not associated with DFS (p = 0.24), among the 50 patients with recurrence, post-treatment low GNRI levels were associated with poorer PRS (p = 0.02). CONCLUSION: Post-treatment GNRI is a promising nutritional score associated with OS and PRS in patients over 60 years with advanced rectal cancer treated with neoadjuvant chemoradiotherapy.

The relationship between the baseline geriatric nutritional risk index (GNRI) and neurological function at the convalescence stage in patients with stroke: a cross-sectional study.

BACKGROUND: Malnutrition is a common complication after stroke and may worsen neurological outcomes for patients. There are still no uniform tools for screening nutritional status for the patients with stroke. We aimed to explore the relationship between the baseline geriatric nutritional risk index (GNRI) and neurological function at the convalescence stage for patients with stroke and assessed the predictive value of the GNRI for adverse neurological outcomes. METHODS: A total of 311 patients with stroke were enrolled retrospectively. Basic information and laboratory results on admission since onset of stroke were collected. The GNRI on admission was calculated and neurological outcomes evaluated by the Barthel index at 1 month after the onset of stroke. Statistical analyses, including correlation coefficient tests, multivariate regression analyses, and receiver operating characteristic (ROC) analyses, were applied in this study. RESULTS: Compared with the good outcome group, the poor outcome group showed a significantly lower GNRI on admission (P < 0.05). GNRI was associated with Barthel index (r = 0.702, P < 0.01). The GNRI was independently correlated with the Barthel index (Standardization ß = 0.721, P < 0.01) and poor outcome 0.885 (95% CIs, 0.855-0.917, P < 0.01) after adjusting for covariates. Compared with no nutritional risk grades (Q4), the OR of GNRI to poor neurological outcome increased across increasing nutritional risk grades of GNRI (OR = 2.803, 95% CIs = 1.330-5.909 in Q3, 7.992, 95% CIs = 3.294-19.387 in Q2 and 14.011, 95% CIs = 3.972-49.426 in Q1, respectively, P for trend < 0.001). The area under ROC curves (AUC) of the GNRI was 0.804, which was larger than that of the NIHSS, BMI, or Albumin (P < 0.01), with an optimal cut-off value of 97.69, sensitivity of 69.51% and specificity of 77.27%. Combined GNRI with NIHSS gained the largest AUC among all the variables (all P < 0.05), with an AUC of 0.855, sensitivity of 84.75 and specificity of 72.73%. CONCLUSIONS: For patients with stroke, higher nutritional risk grades at baseline indicated worse neurological function at the convalescence stage. Compared with NIHSS, BMI, and Albumin, GNRI was a competitive indicator for the risk of poor neurological outcome. The predictive property of GNRI for adverse neurological outcomes might be more powerful when combined with NIHSS.

Association between geriatric nutritional risk index and pathological phenotypes of IgA nephropathy.

Background: IgA nephropathy (IgAN) is an immune disease related to oxidative stress and inflammation. It is the most common type of glomerulonephritis in the world and is the cause of chronic kidney disease and end-stage renal disease (ESRD). The Geriatric Nutritional Risk Index (GNRI) is a practical and uncomplicated method to assess the risk of morbidity and mortality, but its ability to assess IgAN is still unclear. Here, we evaluated the association between the GNRI and clinical and histologic findings of IgAN. Methods: In a cross-sectional study, we included 348 biopsy-verified IgAN patients. The Oxford classification was used to analyze the pathological characteristics of the included patients. Based on previous studies, the participants were divided into two groups using a cutoff value of 92. Differences in clinicopathological indices between the two groups were compared. The correlation between the GNRI and the indicators was evaluated by using a bivariate correlation analysis. A binary logistic regression analysis was conducted to determine the factors associated with the crescent lesions in IgAN. Results: In this study, 138 out of 348 patients (39.7%) had low GNRI scores (GNRI < 92). Patients in the low GNRI group tended to have a significantly lower body mass index; lower hemoglobin, serum albumin, serum IgG, and serum C3 levels; and higher 24-h proteinuria. The proportions of females, Oxford M1 and Oxford C1/2 were higher in the low GNRI group. The GNRI was positively correlated with body mass index (r = 0.57, P < 0.001), hemoglobin (r = 0.35, P < 0.001), serum albumin (r = 0.83, P < 0.001), serum IgG (r = 0.32, P < 0.001), and serum C3 (r = 0.26, P < 0.001) and negatively correlated with 24-h proteinuria (r = -0.36, P < 0.001) and the proportion of crescents (r = -0.24, P < 0.001). The GNRI scores and serum IgG levels were considered independent factors influencing the crescent lesions in IgAN. Conclusions: The GNRI can reflect the severity of clinical and histologic phenotypes in IgAN patients. Lower GNRI and serum IgG levels may suggest an increased risk of crescent lesions and are potential markers for disease monitoring in IgAN.

The Geriatric Nutritional Risk Index (GNRI) as a Prognostic Biomarker for Immune Checkpoint Inhibitor Response in Recurrent and/or Metastatic Head and Neck Cancer.

Malnutrition is a frequent comorbidity in head and neck cancer patients and has been shown to impair immunotherapy response in other cancer types. The geriatric nutritional risk index (GNRI) assesses malnutrition using the patient's ideal weight, actual weight, and serum albumin. The aim of this study was to evaluate the prognostic relevance of malnutrition as determined by the GNRI for the response to immunotherapy in recurrent and/or metastatic head and neck squamous cell carcinoma (R/M HNSCC). A total of 162 patients with R/M HNSCC who received immune checkpoint inhibitors were included. The associations between the GNRI and progression-free survival (PFS), overall survival (OS), and the disease control rate (DCR) were computed. Univariable analysis showed worse PFS for GNRI ≤ 98 (p < 0.001), ECOG performance status (PS) ≥ 2 (p = 0.012), and enteral (p = 0.009) and parenteral (p = 0.015) nutritional supplementation, and worse OS for GNRI < 92 (p < 0.001), ECOG PS ≥ 2 (p < 0.001), and enteral (p = 0.008) and parenteral (p = 0.023) nutritional supplementation. In our multivariable model, GNRI ≤ 98 (p = 0.012) and ECOG PS ≥ 2 (p = 0.025) were independent prognostic factors for PFS. For OS, GNRI < 92 (p < 0.001) and ECOG PS ≥ 2 (p < 0.001) were independent prognostic factors. A GNRI ≤ 98 was significantly associated with a lower DCR compared to a GNRI > 98 (p = 0.001). In conclusion, our findings suggest that the GNRI may be an effective predictor for response to immunotherapy in R/M HNSCC.

HALP score and GNRI: Simple and easily accessible indexes for predicting prognosis in advanced stage NSCLC patients. The Izmir oncology group (IZOG) study.

Objective: The Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) Score and the Geriatric Nutrition Risk Index (GNRI) are used as prognostic factors in different types of cancers. In this study we analyzed the prognostic value of the HALP Score and the GNRI calculated prior to first-line treatment in patients diagnosed with de novo metastatic non-small cell lung cancer (mNSCLC). Materials and methods: De novo mNSCLC patients were retrospectively evaluated from January 2016 to December 2019. Patients with Driver's mutation, severe comorbidities, active infection, or insufficient organ function, and those receiving anti-inflammatory treatment were excluded from the study. Optimal cut-off points for the HALP score and the GNRI were calculated with the receiver operating characteristic (ROC) curve analysis. Predictive factors for overall survival (OS) were assessed with univariate and multivariate Cox proportional hazard analyses, and OS was studied with the Kaplan-Meier analysis. Results: The study included 401 patients in total. In the ROC curve analysis, the cut-off points were found 23.24 (AUC = 0.928; 95% CI: 0.901-0.955, p < 0.001) for HALP, and 53.60 (AUC = 0.932; 95% CI: 0.908-0.955, p < 0.001) for GNRI. Groups with lower HALP scores and lower GNRI had significantly shorter OS compared to those with higher HALP scores and GNRIs. Univariate analysis showed that male gender, smoking, high ECOG score, low HALP score and low GNRI were associated with worse survival rates. Multivariate analysis showed that low HALP score (HR = 2.988, 95% CI: 2.065-4.324, p < 0.001); low GNRI score (HR = 2.901, 95% CI: 2.045-4.114, p < 0.001) and smoking history (HR = 1.447, 95% CI: 1.046-2.001, p = 0.025) were independent factors associated with worse OS rates. Conclusion: Our study showed the HALP score and the GNRI to be of prognostic value as simple, cost-effective, and useful markers that predict OS in de novo mNSCLC patients.

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

BACKGROUND: Stroke-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. METHODS: Patients 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. RESULTS: The 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. CONCLUSION: Lower 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.

Synergistic Effects of the Geriatric Nutritional Risk Index and the Modified Creatinine Index for Predicting Mortality in Patients on Hemodialysis.

This study aimed to investigate whether a combined estimation of the geriatric nutritional risk index (GNRI) and the modified creatinine index (mCI) provides synergistic information for mortality in patients treated by chronic hemodialysis. We analyzed 499 patients on hemodialysis for five years. We set each cut-off value as the high (≥92) and low (<92) GNRI groups and the high (≥21 mg/kg/day) and low (<21 mg/kg/day) mCI groups, and divided them into four subgroups: G1, high GNRI + high mCI; G2, high GNRI + low mCI; G3, low GNRI + high mCI; and G4, low GNRI + low mCI. The survival rate was evaluated and time-to-event analysis was performed. All-cause death occurred in 142 (28%) patients. Kaplan−Meier curves showed that G2 and G4 had a significantly worse outcome (p < 0.05) than G1 but not G3. Using the multivariable-adjusted model, only G4 was significantly associated with all-cause mortality compared with G1. Our study suggests that the synergistic effects of the GNRI and the mCI are helpful in predicting all-cause mortality. The combination of these indices may be superior to a single method to distinguish patients who are well or moderately ill from potentially severely ill.

Prognostic Value of Geriatric Nutritional Risk Index in Esophageal Carcinoma: A Systematic Review and Meta-Analysis.

Esophageal cancer (EC) is one of the most common cancers worldwide. Malnutrition often leads to poor prognosis of patients with EC. Geriatric nutritional risk index (GNRI) was reported as an objective nutrition-related risk index. We intend to comprehensively review evidence of GNRI in predicting EC prognosis. To explore the influence of GNRI on the long-term survival outcome of patients with EC, a meta-analysis was needed. We searched the Web of Science, Medline, Embase, and the Cochrane Library databases. The association between prognosis of patients with EC and GNRI was evaluated by pooling hazard ratios (HRs) and their corresponding 95% confidence intervals (CIs). The fixed model or random model method was chosen according to the heterogeneity among the studies. Totally, 11 studies with 1785 patients who met the inclusion criteria were eventually included in our meta-analysis. Comparing the lower level GNRI group and the higher level GNRI group, the pooled results showed that lower GNRI had a negative impact on overall survival (OS) (HR: 1.75, 95% CI: 1.45-2.10, P < 0.01) and cancer-specific survival (CSS) (HR: 1.77, 95% CI: 1.19-2.62, P < 0.01), indicating that lower GNRI significantly predicted poor OS. In conclusion, lower GNRI could predict the poor prognosis of patients with EC. Meanwhile, more well-designed randomized controlled trials (RCTs) are needed to confirm the findings.

Nutritional Disorder Evaluated by the Geriatric Nutritional Risk Index Predicts Death After Hospitalization for Infection in Patients Undergoing Maintenance Hemodialysis.

OBJECTIVE: Infection is related to a higher rate of hospitalization and subsequent death in patients undergoing hemodialysis. Limited data are available about factors associated with death after hospitalization for infection. Nutritional disorder also known as protein energy wasting is profoundly associated with poor consequences. The Geriatric Nutritional Risk Index (GNRI) is a simple but useful nutritional screening tool to predict mortality. We examined whether the GNRI could predict hospitalization for infection and subsequent death. DESIGN AND METHODS: This was a prospective cohort study on patients undergoing hemodialysis. The predictor was the GNRI. The patients were divided into tertiles of the GNRI (T1 to T3), with the highest tertile of T3 as the referent. The outcomes of interest were all-cause mortality, hospitalization for infection, and subsequent death. RESULTS: Of 518 patients, 107 patients died (median follow-up period: 5.0 years; interquartile range: 3.6-5.0) and 169 patients experienced new hospitalization for infection (median follow-up period: 4.5 years; interquartile range: 3.4-5.0) during the follow-up period from December 2004 to December 2009. A lower GNRI was a significant predictor for all-cause mortality in multivariable Cox models (hazard ratio [HR]: 2.9, 95% confidential interval [CI]: 1.5-5.5, P < .001 for T1 vs. T3). However, the GNRI was not associated with hospitalization for infection in multivariable Fine-Gray models with death as a competing risk (subdistributional HR: 1.5, 95% CI: 1.0-2.3, P = .056 for T1 vs. T3). After hospitalization for infection, 38 patients died during the subsequent 2.5-year follow-up period. The GNRI was a significant predictor of death after hospitalization for infection in multivariable Cox models (HR: 2.7, 95% CI: 1.3-5.6, P = .006 for T1 vs. T2+T3). CONCLUSIONS: A lower GNRI predicted a higher risk of all-cause mortality but not hospitalization for infection. However, a lower GNRI was significantly associated with a higher risk of mortality after hospitalization for infection. These findings suggest that long-term mortality after hospitalization for infection was predicted by nutritional disorder evaluated by the GNRI.

Combined Evaluation of Geriatric Nutritional Risk Index and Modified Creatinine Index for Predicting Mortality in Patients on Hemodialysis.

The geriatric nutritional risk index (GNRI) and modified creatinine index (mCI) are surrogate markers of protein-energy wasting in patients receiving hemodialysis. We aimed to examine whether a combined evaluation of these indices improved mortality prediction in this population. We retrospectively investigated 263 hemodialysis patients divided into two groups, using 91.2 and 20.16 mg/kg/day as cut-off values of GNRI and mCI, respectively. The resultant four groups were reshuffled into four subgroups defined using combinations of cut-off values of both indices and were followed up. During the follow-up period (median: 3.1 years), 103 patients died (46/103, cardiovascular causes). Lower GNRI and lower mCI were independently associated with all-cause mortality (adjusted hazard ratio (aHR) 4.96, 95% confidence intervals (CI) 3.10-7.94, and aHR 1.92, 95% CI 1.22-3.02, respectively). The aHR value for the lower GNRI and lower mCI group vs. the higher GNRI and higher mCI group was 7.95 (95% CI 4.38-14.43). Further, the addition of GNRI and mCI to the baseline risk assessment model significantly improved the C-index of all-cause mortality (0.801 to 0.835, p = 0.025). The simultaneous evaluation of GNRI and mCI could be clinically useful to stratify the risk of mortality and to improve the predictability of mortality in patients on hemodialysis.

The utility of geriatric nutritional risk index to predict outcomes in chronic limb-threatening ischemia.

OBJECTIVES: To assess geriatric nutritional risk index (GNRI) in patients with chronic limb-threatening ischemia (CLTI). BACKGROUND: The prevalence of CLTI continues to rise, with major amputation and mortality remaining prominent. Frailty is a vital risk factor for adverse outcomes in cardiovascular care. The GNRI is a nutrition-based surrogate for frailty that has been utilized in Southeast Asia to predict adverse events in CLTI. It has not yet been evaluated in a primarily Western population, nor in the context of wound healing. METHODS: Between 8August 2017 and April 2019, we identified patients undergoing endovascular interventions for CLTI at our institution, categorized into low GNRI (≤ 94, frail) versus normal GNRI (> 94, reference). We analyzed the risks of major adverse limb events (MALE), its individual components [mortality, major amputation, and target vessel revascularization (TVR)], amputation free survival (AFS), and wound healing using Kaplan-Meier and multivariate cox-proportional hazard regression analyses. RESULTS: A total of 255 patients were included in the analysis, with follow up of 14 ± 9.1 months. Lower GNRI was associated with higher cumulative event rates for MALE (71.0% vs. 43.3%, p < 0.001), mortality (34.3% vs. 15.2%, p < 0.001), major amputation (31.2% vs. 15.8%, p = 0.002), and freedom from AFS (56.0% vs. 28.2%, p < 0.001). There was a trend toward lower TVR and higher wound healing with higher GNRI score. CONCLUSIONS: Our single-center, retrospective evaluation of GNRI (as a surrogate for frailty) correlated with increased risks of MALE, mortality, and major amputation. Future directions should focus not only on the recognition of these patients, but risk-factor modification to optimize long-term outcomes.