The evaluation of the nutritional status in Parkinson's disease: geriatric nutritional risk index comparison with mini nutritional assessment questionnaire.

OBJECTIVE: The symptoms associated with Parkinson's disease may lead to reduced food consumption and in turn, malnutrition. It is therefore important to apply a reliable nutrition screening tool to evaluate the nutritional status of individuals with Parkinson's disease. This cross-sectional study aims to compare the Mini Nutritional Assessment (MNA) questionnaire and the Geriatric Nutrition Risk Index (GNRI) in the assessment of the nutritional status of individuals with Parkinson's disease, and to evaluate the usability of the GNRI in cases of Parkinson's disease. METHODS: The study was conducted with 89 individuals over the age of 60 who were diagnosed with Parkinson's disease. Study data were collected using a questionnaire form administered through face-to-face interviews, the MNA-Long Form (MNA-LF), and the GNRI was calculated. RESULTS: The mean GNRI scores were significantly lower in the participants with malnutrition (106.5 ± 19.4) than in the participants at risk of malnutrition (121.0 ± 10.3) and the participants with no malnutrition (125.3 ± 9.6) according to the MNA-LF (p < 0.001). Although there was a positive correlation between the MNA-LF and the GNRI scores, this correlation was not significant (p = 0.095). CONCLUSIONS: This is the first study to research the nutritional status of individuals with Parkinson's disease using the GNRI. The malnutrition rate detected by GNRI was found to be lower than MNA in Parkinson's patients receiving outpatient treatment. Similar studies are recommended to determine the usability of GNRI on inpatients.

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.

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.

Using the geriatric nutritional risk index to predict outcomes in older patients with remnant gastric cancer after gastrectomy: a retrospective multicenter study in Japan.

PURPOSE: This study investigated the prognostic value of the geriatric nutritional risk index (GNRI) in patients undergoing curative gastrectomy for remnant gastric cancer (RGC). METHODS: This multicenter retrospective study included 105 patients with RGC of ≥ 65 years of age who underwent curative gastrectomy at 10 institutions in Japan between January 2000 and December 2016. Postoperative complications, overall survival (OS), and disease-specific survival (DSS) were analyzed. RESULTS: Receiver operating curve analyses indicated that the optimal cutoff value of the GNRI for OS was 95.4. Patients were categorized into high and low GNRI groups based on the optimal GNRI cutoff value. The GNRI was significantly correlated with body mass index (p < 0.001), amount of bleeding (p = 0.021), Clavien-Dindo grade 5 postoperative complications (p = 0.040), death caused by primary disease (p = 0.010), and death caused by other diseases (p = 0.002). The OS and DSS were significantly worse in the low GNRI group. A low GNRI and T3 or deeper tumor invasion were independent prognostic factors for OS and DSS. CONCLUSIONS: The GNRI is a promising predictor of both short- and long-term outcomes in older patients with RGC.

GNRI Sustainability during One Cycle of First-Line Chemotherapy as a Prognostic Indicator in Patients with Metastatic Urothelial Carcinoma.

INTRODUCTION: This study evaluated the prognostic value of a sustained high Geriatric Nutritional Risk Index (GNRI) during first-line chemotherapy for patients with metastatic urothelial carcinoma (mUC). METHODS: Between January 2018 and February 2022, 123 patients received platinum-based chemotherapy at Nagoya City University Hospital and affiliated institutions. Of these, 118 eligible patients who showed an Eastern Cooperative Oncology Group performance status (ECOG-PS) between 0 and 2 were retrospectively examined. Based on body mass index and serum albumin levels, GNRI was calculated immediately before and after the first primary chemotherapy cycle. Patients were divided into two groups based on GNRI: GNRI sustained ≥92 in sustainable (n = 63) and GNRI <92 in unsustainable (n = 55) groups, respectively. Clinical outcomes were compared. RESULTS: No significant differences were noted between the two groups for age, gender, cycle of first-line treatment, and type of series of sequential treatments after failure of first-line therapy. Median overall survival from the start of first-line chemotherapy was 30.2 months (95% confidence interval [CI]: 20.9-NA) for sustainable and 12.6 months (95% CI: 9.0-21.2) for unsustainable groups, respectively (p < 0.05). Multivariate analysis identified ECOG-PS:2 and fatigue, an adverse event, as independent predictors of unsustainable GNRI transition (95% CI: 1.29-90.6, odds ratio [OR]: 10.8; 95% CI: 1.06-26.9, OR: 5.34, respectively). CONCLUSION: Sustaining a high level of GNRI was an important prognostic indicator in patients with mUC receiving first-line chemotherapy. Appropriate intervention for controlling adverse events, including fatigue, may enhance physical strength during cancer treatment.

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.

Comparison of the adequacy of geriatric nutritional risk index with that of the mini nutritional assessment-short form and global leadership initiative on malnutrition criteria in assessing nutritional status to predict the 1-year prognosis of hospitalized Japanese older adults: a single-institutional cohort study.

BACKGROUND: The global leadership initiative on malnutrition (GLIM) proposed the first international standards (GLIM criteria) for malnutrition diagnosis. Early screening using nutritional tools is recommended to improve the prognosis of older patients. The association between Mini Nutritional Assessment-Short Form (MNAⓇ-SF) and Geriatric Nutritional Risk Index (GNRI) and prognosis has been reported, but there is insufficient evidence to develop the GLIM criteria for older inpatients. We aimed to evaluate the MNAⓇ-SF, GNRI, and GLIM criteria to determine their contribution to the prognosis prediction of hospitalized older patients at 1 year after discharge. METHODS: This study included 386 patients hospitalized between September 2014 and October 2015, and May and December 2019. After excluding 17 patients who died at the time of initial hospitalization, 23 who were lost to follow-up after 1 year, and 28 who had missing data on admission, only 318 were included in the final analysis. The primary outcome was death within 1 year after discharge, assessed using the MNA®-SF, GNRI, and GLIM criteria, and survival analysis was conducted. Multivariate Cox proportional hazards analysis was performed to identify the nutritional assessment tools that contributed to the prognosis prediction. RESULTS: A total of 43 patients died within 1 year. Of them, 58.1% had malnutrition and 37.2% were at risk of malnutrition, assessed using the MNAⓇ-SF; 27.9% had severely malnourished assessed using the GNRI; and 58.1% had severely malnourished assessed using the GLIM criteria. The proportions of malnourished and severely malnourished patients were significantly higher in the mortality group than in the survival group. Multivariate Cox proportional hazards analysis showed hazard ratios of 1.06 (95% confidence interval [CI]: 0.24-4.71) for at risk and 2.17 (95% CI: 0.48-9.84) for malnutrition (MNAⓇ-SF); 5.68 (95% CI: 2.74-11.80) for moderately malnourished and 7.69 (95% CI: 3.13-18.91) for severely malnourished (GNRI); and 1.47 (95% CI: 0.48-4.50) for moderately malnourished and 2.45 (95% CI: 1.22-4.93) for severely malnourished (GLIM criteria); GNRI had the most significant contribution to prognosis prediction. CONCLUSIONS: GNRI significantly contributed to the prognosis prediction 1 year after hospital discharge of older patients.

Association between nutritional status scores and the 30-day mortality in patients with acute kidney injury: an analysis of MIMIC-III database.

BACKGROUND: Studies have proven that the risk of acute kidney injury (AKI) increased in patients with malnutrition. Prognostic nutritional index (PNI) and geriatric nutritional risk index (GNRI) were general tools to predict the risk of mortality, but the prognostic value of them for in-hospital mortality among patients with AKI have not been validated yet. Herein, this study aims to explore the association between PNI and GNRI and 30-day mortality in patients with AKI. METHODS: Demographic and clinical data of 863 adult patients with AKI were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database in 2001-2012 in this retrospective cohort study. Univariate and multivariate Cox proportional regression analyses were used to explore the association between PNI and GNRI and 30-day mortality. The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). Subgroup analyses of age, Sequential Organ Failure Assessment (SOFA) score and Simplified Acute Physiology (SAPS-II) score were also performed. RESULTS: Totally, 222 (26.71%) patients died within 30 days. After adjusting for covariates, PNI ≥ 28.5 [HR = 0.71, 95%CI: (0.51-0.98)] and GNRI ≥ 83.25 [HR = 0.63, 95%CI: (0.47-0.86)] were both associated with low risk of 30-day mortality. These relationships were also found in patients who aged ≥ 65 years old. Differently, high PNI level was associated with low risk of 30-day mortality among patients with SOFA score < 6 or SAPS-II score < 43, while high GNRI was associated with low risk of 30-day mortality among those who with SOFA score ≥ 6 or SAPS-II score ≥ 43 (all P < 0.05). CONCLUSION: PNI and GNRI may be potential predictors of 30-day mortality in patients with AKI. Whether the PNI is more recommended for patients with mild AKI, while GNRI for those with severe AKI is needed further exploration.

The preoperative geriatric nutritional risk index predicts long-term prognosis in elderly locally advanced rectal cancer patients: a two-center retrospective cohort study.

BACKGROUND: The objective is to explore the value of preoperative geriatric nutritional risk index (GNRI) in evaluating long-term prognosis in elderly locally advanced rectal cancer (LARC) patients who accepted neoadjuvant chemoradiotherapy (NCRT) and to compare GNRI with established nutritional markers, including prognostic nutritional index (PNI) and controlling nutritional status (CONUT) score. METHODS: Preoperative GNRI was retrospectively assessed in 172 LARC patients aged ≥ 60 years who underwent radical resection after NCRT at two centers. Optimal cutoff value of GNRI was determined by X-tile program. The association of GNRI with clinicopathological parameters and nutritional markers was analyzed. The survival ability of markers was evaluated using time-dependent receiver-operating characteristic (ROC) curve analysis. Finally, survival analysis was performed using Kaplan-Meier and Cox regression analysis. RESULTS: GNRI was highly correlated with nutritional markers. An optimal cutoff value for the GNRI was 96. In the time-dependent ROC curve, GNRI demonstrated a stable predictive ability for both disease-free survival (DFS) and overall survival (OS). Multivariate analysis showed that GNRI was the only nutritional marker that independently predicted DFS (HR 2.457, 95% CI 1.066-5.665, P = 0.035) and OS (HR 9.002, 95% CI 3.100-26.146, P < 0.001). As an additional benefit, GNRI was able to stratify survival in subgroups of ypTNM and tumor response. CONCLUSION: Preoperative GNRI is a promising predictor of long-term survival for elderly LARC patients undergoing NCRT, superior to the established nutritional markers.

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.

A Low Geriatric Nutritional Risk Index Is Associated with Low Muscle Volume and a Poor Prognosis among Cirrhotic Patients.

Background and Objectives: The geriatric nutritional risk index (GNRI) is an easily calculable index that can be determined using three common clinical variables. The GNRI is suggested to be related to sarcopenia in cirrhotic patients. However, the relationship between the GNRI and the prognosis in patients with liver cirrhosis (LC) has not been reported. The aim of the present research is to study the association of the GNRI with the nutritional status, hepatic function reserve, and prognosis in patients with liver cirrhosis (LC). Materials and Methods: A total of 370 cirrhotic patients whose nutritional statuses were evaluated using anthropometric measurements and bioimpedance analysis were studied. The associations between the GNRI and nutritional status and the GNRI and hepatic function reserve were analyzed. We also investigated the GNRI and prognosis of patients with LC. Results: The median age of the enrolled patients was 66 years old, and 266 (71.9%) patients had viral hepatitis-related LC. The GNRI was shown to decrease with the progression of chronic liver disease, represented by an increased FIB-4 index and severe Child-Pugh and mALBI grades. In addition, a low GNRI (<92) was associated with severe cirrhosis-related metabolic disorders, including a low branched-chain amino acid-to-tyrosine ratio (BTR) and a low zinc value. The GNRI was positively correlated with two nutrition-related anthropometric variables (% arm circumference and % arm muscle circumference), and a low GNRI was related to a low skeletal muscle mass index (SMI) (<7.0 kg/m2 for men or <5.7 kg/m2 for women), as determined by using bioimpedance analysis. In addition, patients with a low GNRI (<92) had a poorer prognosis than those with a high GNRI (≥92) (log-rank test: p = 0.0161, and generalized Wilcoxon test, p = 0.01261). Conclusions: Our results suggest that a low GNRI is related to severe chronic liver disease, low muscle volume, and a poor prognosis of patients with cirrhosis.

Evaluation of the efficacy of using gnri and mis as a predictor of mortality in elderly hemodialysis patients.

Background: Malnutrition is one of the most common geriatric syndromes in hemodialysis (HD) patients. Although there is no gold standard for evaluating nutritional status in HD patients, the Subjective Global Assessment (SGA), Geriatric Nutritional Risk Index (GNRI), and Malnutrition-Inflammation Score (MIS) are widely used in clinical settings. Aim: To examine the efficacy of using Geriatric Nutritional Risk Index (GNRI) and Malnutrition-Inflammation Score (MIS) as a predictor of mortality in elderly hemodialysis patients. Subjects and Methods: A retrospective cohort study was carried out in Malatya Training and Research Hospital's Hemodialysis Unit between July 2018 and August 2022. Two hundred seventy-four elderly hemodialysis patients were included in the study. Demographic characteristics, laboratory parameters, and anthropometric measurements of the patients were reviewed. Statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) version 16.0 software (SPSS Inc., Chicago, IL, USA). Logistic regression analysis was performed to identify independent predictors of mortality. Results: The mean age of 83 patients who died was 70.00 ± 8.39 years and 47 (56.6%) of these patients were male. All-cause death occurred in 69 (71.1%) of 97 patients with an MIS of ≥6. All-cause death occurred in 24 (54.5%) of 44 patients with a GNRI score of <91.2. Accordingly, MIS (P < 0.001, OR = 1.376 [0.163-0.392]), GNRI (P = 0.001, OR = -0.431 [1.189-1.990]), and age (P = 0.021, OR = 0.109 [0.818-0.984]) were found to be independent predictors of all-cause mortality. Conclusions: GNRI and MIS are important predictors of increased risk of mortality from all causes in elderly HD patients.

Prognostic value of geriatric nutritional risk index for patients with biliary tract cancer undergoing surgical resection - a single-institution retrospective cohort study.

Introduction: The geriatric nutritional risk index (GNRI) is an index of nutritional status associated with clinical outcomes in various cancers; however, its prognostic value in biliary tract cancer (BTC) remains to be elucidated. This retrospective study aimed to investigate the association between preoperative GNRI and long-term prognosis of patients with BTC undergoing surgical resection. Material and methods: A total of 213 patients were included. The relationships between GNRI and clinicopathological variables, including inflammatory markers such as C-reactive protein (CRP) and neutrophil-to-lympho-cyte ratio, were analysed. The impact of GNRI on overall survival (OS) and relapse-free survival (RFS) was investigated by Kaplan-Meier curves and Cox proportional hazards models. Results: Applying a GNRI cut-off of 98, the low-GNRI group comprised 135 patients (63%). The low-GNRI group had elevated carbohydrate antigen 19-9 and CRP levels, high rates of preoperative biliary stenting, lymph node metastases, and perineural invasion, and a lower rate of R0 resection than the high-GNRI group. Both OS and RFS in the low-GNRI group were significantly lower. In multivariate analysis, low GNRI was a significant predictor of poor OS (hazard ratio [HR], 1.731; 95% CI: 1.111-2.696; p = 0.015) and RFS (HR, 1.900; 95% CI: 1.231-2.931; p = 0.004), independently of inflammatory and tumour markers, as well as of pathological features. Conclusions: Preoperative GNRI may be an easily accessible predictor of poor prognosis in patients with BTC undergoing surgical resection.

Risk factors for recurrence in elderly patients with stage II colorectal cancer: a multicenter retrospective study.

BACKGROUND: Adjuvant chemotherapy for stage II colorectal cancer (CRC) is considered appropriate for patients with risk factors for recurrence, rather than for all patients uniformly. However, the risk factors for recurrence remain controversial, and there is limited information, especially for elderly patients. The Geriatric Nutritional Risk Index (GNRI) is widely used as a simple nutritional screening tool in the elderly and is associated with cancer prognosis and recurrence. This study aimed to investigate the risk factors for recurrence in the elderly with stage II CRC, focusing on the GNRI. METHODS: We enrolled 348 elderly patients (≥ 75 years) with stage II CRC who underwent curative resection at the Department of Surgery, Tottori University and our 10 affiliated institutions. The patients were divided into GNRIhigh (≥ 93.465) and GNRIlow (< 93.465) groups. RESULTS: The GNRIlow group showed a significantly worse overall survival (OS), cancer-specific survival (CSS), and relapse-free survival (RFS) (P < 0.001, P < 0.001, and P < 0.001, respectively). In a multivariate analysis, GNRIlow (hazard ratio [HR]: 2.244, P < 0.001), pathologic T4 stage (HR: 1.658, P = 0.014), and moderate to severe lymphatic or venous invasion (HR: 1.460, P = 0.033) were independent factors affecting RFS. By using these three factors to score the risk of recurrence from 0 to 3 points, the prognosis was significantly stratified in terms of OS, CSS, and RFS (P < 0.001, P < 0.001, and P < 0.001, respectively). The recurrence rate for each score was as follows: 0 points, 9.8%; 1 point, 22.0%; 2 points, 37.3%; and 3 points, 61.9%. CONCLUSIONS: GNRIlow, pathologic T4 stage, and moderate to severe lymphatic or venous invasion are high-risk factors for recurrence in the elderly with stage II CRC. The scoring system using these three factors appropriately predicted their recurrence and outcome.

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.

The Elderly Nutritional Index for Geriatric Malnutrition Assessment (ENIGMA): concurrent, construct and predictive validity in an external evaluation cohort of community-dwelling older persons.

We previously developed a malnutrition risk index, the Elderly Nutritional Index for Geriatric Malnutrition Assessment (ENIGMA) with good predictive accuracy for mortality risk in an original population cohort (SLAS1). Herein, we further evaluate the concurrent and predictive validity of the ENIGMA construct in an external validation cohort (SLAS-2) of 2824 community-dwelling older adults aged 55+ years. They were assessed on the ENIGMA index, Mini Nutritional Assessment-Short Form (MNA-SF) and the Geriatric Nutritional Risk Index (GNRI), known correlates of malnutrition, and baseline and follow-up functional dependency and 10-year mortality risk. Higher ENIGMA risk categories were significantly associated (P < 0·001) with lower education, living alone, smoking, low physical activity, BMI < 18·5 kg/m2, poorer muscle strength and functional mobility, exhaustion, physical frailty, homocysteine, glomerular filtration rate, Hb, red and white blood cell counts, platelets, systemic inflammation indexes, metabolic syndrome, CVD, cognitive impairment and depressive symptoms (Geriatric Depression Scale ≥ 5). ENIGMA scores showed statistically significant (P < 0·001) correlations but low-to-moderate concordance with MNA-SF (r = 0·148, agreement = 45·9 %, kappa = 0·085) and GNRI scores (r = 0·156, agreement = 45·8 %, kappa = 0·096). Controlling for known correlates of malnutrition, only high-risk ENIGMA among the indexes significantly predicted baseline functional dependency (OR = 1·64, 95 % CI 1·01, 2·65) and mortality (hazard ratio = 1·65 (95 % CI 1·04, 2·62). ENIGMA marginally out-performed MNA-SF and GNRI in predicting baseline functional dependency (AUC: 0·625 v. 0·584 v. 0·526), follow-up functional dependency (AUC: 0·594 v. 0·525 v. 0·479) and 10-year mortality risk (AUC: 0·641 v. 0·596 v. 0·595). The concurrent and predictive validity of the ENIGMA construct is replicated in an external evaluation study of community-dwelling older persons.

Impact of nutritional status on prognosis in acute myocardial infarction patients undergoing percutaneous coronary intervention.

BACKGROUND: Malnutrition affects the prognosis of cardiovascular disease. Acute myocardial infarction (AMI) has been a major cause of death around the world. Thus, we investigated the impact of malnutrition as defined by Geriatric Nutritional Risk Index (GNRI) on mortality in AMI patients. METHODS: In 268 consecutive AMI patients who underwent percutaneous coronary intervention (PCI), associations between all-cause death and baseline characteristics including malnutrition (GNRI < 92.0) and Global Registry of Acute Coronary Events (GRACE) risk score were assessed. RESULTS: Thirty-three patients died after PCI. Mortality was higher in the 51 malnourished patients than in the 217 non-malnourished patients, both within 1 month after PCI (p < 0.001) and beyond 1 month after PCI (p = 0.017). Multivariate Cox proportional hazards regression modelling using age, left ventricular ejection fraction and GRACE risk score showed malnutrition correlated significantly with all-cause death within 1 month after PCI (hazard ratio [HR] 7.04; 95% confidence interval [CI] 2.30-21.51; p < 0.001) and beyond 1 month after PCI (HR 3.10; 95% CI 1.70-8.96; p = 0.037). There were no significant differences in area under the receiver-operating characteristic (ROC) curve between GRACE risk score and GNRI for predicting all-cause death within 1 month after PCI (0.90 vs. 0.81; p = 0.074) or beyond 1 month after PCI (0.69 vs. 0.71; p = 0.87). Calibration plots comparing actual and predicted mortality confirmed that GNRI (p = 0.006) was more predictive of outcome than GRACE risk score (p = 0.85) beyond 1 month after PCI. Furthermore, comparison of p-value for interaction of malnutrition and GRACE risk score for all-cause death within 1 month after PCI, beyond 1 month after PCI, and the full follow-up period after PCI were p = 0.62, p = 0.64 and p = 0.38, respectively. CONCLUSIONS: GNRI may have a potential for predicting the mortality in AMI patients especially in beyond 1 month after PCI, separate from GRACE risk score. Assessment of nutritional status may help stratify the risk of AMI mortality.

Malnutrition-associated high bleeding risk with low thrombogenicity in patients undergoing percutaneous coronary intervention.

BACKGROUND AND AIMS: Although antithrombotic treatments are established for coronary artery disease (CAD), they increase the bleeding risk, especially in malnourished patients. The total thrombus-formation analysis system (T-TAS) is useful for the assessment of thrombogenicity in CAD patients. Here, we examined the relationships among malnutrition, thrombogenicity and 1-year bleeding events in patients undergoing percutaneous coronary intervention (PCI). METHODS AND RESULTS: This was a retrospective analysis of 300 consecutive CAD patients undergoing PCI. Blood samples obtained on the day of PCI were used in the T-TAS to compute the thrombus formation area under the curve. We assigned patients to two groups based on the geriatric nutritional risk index (GNRI): 102 patients to the lower GNRI group (≤98), 198 patients to the higher GNRI group (98<). The primary endpoint was the incidence of 1-year bleeding events defined by Bleeding Academic Research Consortium criteria types 2, 3, or 5. The T-TAS levels were lower in the lower GNRI group than in the higher GNRI group. Kaplan-Meier analysis showed worse 1-year bleeding event-free survival in the lower GNRI group compared with the higher GNRI group. The combined model of the GNRI and the Academic Research Consortium for High Bleeding Risk (ARC-HBR) had good calibration and discrimination for bleeding risk prediction. In addition, having a lower GNRI and ARC-HBR positivity was associated with 1-year bleeding events. CONCLUSION: A lower GNRI could reflect low thrombogenicity evaluated by the T-TAS and determine bleeding risk in combination with ARC-HBR positivity.

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.