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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.

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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.

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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.

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Malnutrition is linked to adverse outcomes in post-cardiac surgery patients. This study investigates the correlation between the Geriatric Nutritional Risk Index (GNRI) and adverse hospital outcomes in patients following cardiac surgery. This retrospective study included elderly patients with heart disease who were admitted to the Department of Cardiology, Fujian Medical University Union Hospital from January 2020 to December 2022. Patients were divided into two groups based on the cut-off value (98 g/dL). Data from 407 patients were assessed, with 278 (68.3%) classified as having nutritional risk and 129 (31.7%) as having no nutritional risk. Notable distinctions were observed in body weight, BMI, and left ventricular ejection fraction (P < 0.05). Laboratory indicators indicated lower levels of serum albumin, lymphocytes, red blood cells, hemoglobin, admission blood glucose, and admission triglyceride in the nutritional risk group (P < 0.05). Neutrophils and serum creatinine were higher in the nutritional risk group (P < 0.05). Poor prognosis was prevalent in the nutrition risk group (64.7%), with higher incidences of adverse outcomes (P < 0.05). Univariate and multivariate studies showed that GNRI < 98 g/dL was an independent predictor of postoperative cardiac surgery. Nutritional risk was an important predictor of adverse hospital outcomes after the surgery.

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This study aimed to explore the association between bone mineral density and physical frailty including nutrition, muscle mass, and oral function. We included participants aged 35-80 years and examined their bone mineral density, serum albumin level, body composition, and variance of hue (VOH) of two-colored gum. We also used the geriatric oral health assessment index (GOHAI). These data were used to calculate the geriatric nutritional risk index (GNRI) and skeletal muscle index (SMI). Multinomial logistic regression was performed to assess the relationship between GNRI, SMI, VOH, GOHAI, and bone mineral density after adjusting for comorbidities, including hypertension, diabetes mellitus, and previous bone fracture. We included 228 participants and classified their bone mineral density as normal, osteopenic, or osteoporotic. Older age (odds ratio (OR) 1.15, 95% confidence interval (CI) [1.08, 1.23]), low GNRI (OR 0.90, 95% CI [0.83, 0.98]), low SMI (OR 0.43, 95% CI [0.27, 0.68]), and high VOH (OR 1.08, 95% CI [1.01, 1.17]) were significantly associated with osteoporosis. Older age (OR 1.08, 95% CI [1.04, 1.11]) and low GNRI (OR 0.93, 95% CI [0.87, 0.99]) were significantly associated with osteopenia. GNRI, SMI, and VOH were significantly associated with osteoporosis among male participants. Although the multinomial logistic regression analysis indicated that GNRI, SMI, VOH, and GOHAI were not significantly associated with osteoporosis or osteopenia among female participants, the demographic distribution showed that older age, low GNRI, and low SMI were significantly associated with bone mineral density decline. Physical frailty, including nutritional decline, muscle mass loss, and poor oral status, is associated with low bone density. This easy-to-use tool can be used to detect osteoporosis early and to prevent osteoporosis and osteoporosis-related fractures.

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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.

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AIM: The role of malnutrition among patients with severe heart failure (HF) is not well established. We evaluated the incidence, predictors, and prognostic impact of malnutrition in patients with severe HF. METHODS AND RESULTS: Nutritional status was measured using the geriatric nutritional risk index (GNRI), based on body weight, height and serum albumin concentration, with malnutrition defined as GNRI ≤98. It was assessed in consecutive patients with severe HF, defined by at least one high-risk 'I NEED HELP' marker, enrolled at four Italian centres between January 2020 and November 2021. The primary endpoint was all-cause mortality. A total of 510 patients with data regarding nutritional status were included in the study (mean age 74 ± 12 years, 66.5% male). Among them, 179 (35.1%) had GNRI ≤98 (malnutrition). At multivariable logistic regression, lower body mass index (BMI) and higher levels of natriuretic peptides (B-type natriuretic peptide [BNP] > median value [685 pg/ml] or N-terminal proBNP > median value [5775 pg/ml]) were independently associated with a higher likelihood of malnutrition. Estimated rates of all-cause death at 1 year were 22.4% and 41.1% in patients without and with malnutrition, respectively (log-rank p < 0.001). The impact of malnutrition on all-cause mortality was confirmed after multivariable adjustment for relevant covariates (adjusted hazard ratio 2.03, 95% confidence interval 1.43-2.89, p < 0.001). CONCLUSION: In a contemporary, real-world, multicentre cohort of patients with severe HF, malnutrition (defined as GNRI ≤98) was common and independently associated with an increased risk of mortality. Lower BMI and higher natriuretic peptides were identified as predictors of malnutrition in these patients.

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Introduction: Several prognostic factors have been identified in patients with metastatic bladder cancer (BC). As it is known, older adult patients are prone to nutritional deficiency. The knowledge about nutrition and impact on survival in older patients with metastatic bladder cancer is missing. It is necessary to specifically examine this population. Because timely interventions can make a positive impact on this patients population. This retrospective study aimed to evaluate the prognostic effect of the Geriatric Nutritional Risk Index (GNRI), Controller Nutritional Status (CONUT) score and Prognostic Nutritional Index (PNI) before first-line chemotherapy in the metastatic stage in patients with metastatic bladder cancer over 70. Participants and methods: Patients over 70 with pathologically confirmed denovo metastatic or recurrent metastatic bladder cancer were included in the study. Patients with infections diagnosed at the time of diagnosis, autoimmune diseases or history of steroid use were excluded. Since our population consists of a specific age group with a specific cancer, we found a new cut-off value by performing ROC analysis to ensure optimal sensitivity and specificity in terms of progression. Low GNRI value was related with poor nutritional status. Low PNI value was related with poor nutritional status and high CONUT score was related with poor nutritional status. Factors predicting overall survival (OS) and Progression-Free Survival (PFS) were assessed using both univariate and multivariate Cox proportional hazards analyses. Results: 106 patients were included in the study and the average age was 75.5 years. In the GNRI-Low group, PFS was significantly shorter than that in the GNRI-High group [HR (95% CI) = 57.1 (12.8-255.5), (p < 0.001)]. Among those with a low-CONUT score, PFS was found to be longer than that in the high-CONUT group [HR (95% CI) = 1.7 (1.0-3.0), (p = 0.039)]. The median PFS of the PNI-Low group wasn't significantly shorter than that of the PNI-High group [HR (95% CI) = 1.8 (0.5-6.2), (p = 0.359)]. Conclusion: Our study suggests that the GNRI and CONUT scores are useful for predicting survival in patients over 70 years of age with BC.

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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.

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This study aimed to develop a predictive nomogram model to estimate the odds of osteoporosis (OP) in elderly patients with type 2 diabetes mellitus (T2DM) and validate its prediction efficiency. The hospitalized elderly patients with T2DM from the Affiliated Hospital of North Sichuan Medical University between July 2022 and March 2023 were included in this study. We sorted them into the model group and the validation group with a ratio of 7:3 randomly. The selection operator regression (LASSO) algorithm was utilized to select the optimal matching factors, which were then included in a multifactorial forward stepwise logistic regression to determine independent influencing factors and develop a nomogram. The discrimination, accuracy, and clinical efficacy of the nomogram model were analyzed utilizing the receiver operating characteristic (ROC) curve, calibration curve, and clinical decision curve analysis (DCA). A total of 379 study participants were included in this study. Gender (OR = 8.801, 95% CI 4.695-16.499), Geriatric Nutritional Risk Index (GNRI) < 98 (OR = 4.698, 95% CI 2.416-9.135), serum calcium (Ca) (OR = 0.023, 95% CI 0.003-0.154), glycated hemoglobin (HbA1c) (OR = 1.181, 95% CI 1.055-1.322), duration of diabetes (OR = 1.076, 95% CI 1.034-1.119), and serum creatinine (SCr) (OR = 0.984, 95% CI 0.975-0.993) were identified as independent influencing factors for DOP occurrence in the elderly. The area under the curve (AUC) of the nomogram model was 0.844 (95% CI 0.797-0.89) in the modeling group and 0.878 (95% CI 0.814-0.942) in the validation group. The nomogram clinical prediction model was well generalized and had moderate predictive value (AUC > 0.7), better calibration, and better clinical benefit. The nomogram model established in this study has good discrimination and accuracy, allowing for intuitive and individualized analysis of the risk of DOP occurrence in elderly individuals. It can identify high-risk populations and facilitate the development of effective preventive measures.

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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.

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The prevalence of chronic kidney disease (CKD) is rising, especially in elderly individuals. The overlap between CKD and aging is associated with body composition modification, metabolic abnormalities, and malnutrition. Renal care guidelines suggest treating CKD patient with a low-protein diet according to the renal disease stage. On the other hand, geriatric care guidelines underline the need for a higher protein intake to prevent malnutrition. The challenge remains of how to reconcile a low dietary protein intake with insuring a favorable nutritional status in geriatric CKD populations. Therefore, this study aims to evaluate the effect of a low-protein adequate energy intake (LPAE) diet on nutritional risk and nutritional status among elderly CKD (stage 3-5) patients and then to assess its impact on CKD metabolic abnormalities. To this purpose, 42 subjects [age ≥ 65, CKD stage 3-5 in conservative therapy, and Geriatric Nutritional Risk Index (GNRI) ≥ 98] were recruited and the LPAE diet was prescribed. At baseline and after 6 months of the LPAE diet, the following data were collected: age, sex, biochemical parameters, anthropometric measurements, body composition, and the GNRI. According to their dietary compliance, the subjects were divided into groups: compliant and non-compliant. For the compliant group, the results obtained show no increased malnutrition risk incidence but, rather, an improvement in body composition and metabolic parameters, suggesting that the LPAE diet can provide a safe tool in geriatric CKD patients.

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Background: Malnutrition is common in patients undergoing hemodialysis and is a powerful predictor of morbidity and mortality. This study aimed to investigate the effect of nutritional status on permanent catheter patency in elderly patients aged >75 years of age undergoing dialysis using tunneled dialysis catheters; Methods: Records of 383 patients whose nutritional factors and body cell mass (BCM) were measured simultaneously at the start of dialysis between 14 January 2020 and 30 September 2023, at Chungnam National University Hospital, were retrospectively reviewed. The relationships between permanent catheter patency at 180 days and BCM parameters and clinical parameters were studied using Kaplan-Meier survival curves and multivariate Cox proportional hazards analysis. Results: Age and sexual differences were significant (p ≤ 0.05), and most of the BCM parameters and BCM were not significant (p ≤ 0.05), except for intracellular water. Permanent catheter patency was superior at low controlling nutritional status (CONUT) scores (p < 0.05). After adjustment for covariates, the CONUT score remained an independent factor associated with permanent catheter-patency survival; Conclusions: CONUT scores measured before the start of dialysis are expected to play an important role in predicting the prognosis of permanent catheter-patency survival in patients aged >75 years.

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Background Geriatric nutritional risk index (GNRI) on the prognosis of patients with diffuse large B-cell lymphoma (DLBCL) remains unclear. The purpose of this meta-analysis was to discuss the value of the GNRI in evaluating long-term outcomes in DLBCL. Methods We systematically and roundly retrieved PubMed, Cochrane Library, Embase, Scopus and Web of Science electronic databases from inception of the databases to March 20, 2023. At the same time, we calculated the pool hazard ratios (HRs) with their 95% confidence interval (CI) for overall survival and progression-free survival to assess the effect of GNRI on the prognosis of DLBCL patients. Results In our primary meta-analysis, 7 trials with a total of 2448 patients were enrolled. Results showed that lower level of GNRI was related to poorer overall survival (HR = 1.78, 95% CI 1.27, 2.50, p < 0.01) and worse progression-free survival (HR = 2.31, 95% CI 1.71, 3.13, p < 0.01) in DLBCL patients. Conclusion The results of our meta-analysis indicate that a lower GNRI significantly associated with poorer prognosis for DLBCL. It is believed that GNRI was a promisingly predictive indicator of survival outcomes in DLBCL patients. However, large multicenter prospective studies are necessary to verify the results (AU)

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Purpose: To explore the predictive value of nutritional risk for all-cause death and functional outcomes among elderly acute stroke patients. Patients and Methods: A total of 479 elderly acute stroke patients were enrolled in this study. The nutritional risk of patients was screened by the GNRI and NRS-2002. The primary outcome was all-cause death, and the secondary outcome was poor prognosis defined as a modified Rankin Scale (mRS) score ≥3. Results: Based on the NRS-2002, patients with nutritional risk had a higher risk of all-cause death at 3 months (adjusted OR: 3.642, 95% CI 1.046~12.689) and at 3 years (adjusted OR: 2.266, 95% CI 1.259~4.076) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 2.748, 95% CI 1.518~4.972. Based on the GNRI, compared to those without nutritional risk, patients with mild malnutrition also had a higher risk of all-cause death at 3 months (adjusted OR: 7.186, 95% CI 1.550~33.315) and at 3 years (adjusted OR: 2.255, 95% CI 1.211~4.199) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 1.947, 95% CI 1.030~3.680), so patients with moderate and severe malnutrition had a higher risk of all-cause death at 3 months (adjusted OR: 6.535, 95% CI 1.380~30.945) and at 3 years (adjusted OR: 2.498, 95% CI 1.301~4.799) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 2.213, 95% CI 1.144~4.279). Conclusion: Nutritional risk increases the risk of poor short-term and long-term outcomes in elderly patients with acute stroke. For elderly stroke patients, we should pay attention to early nutritional risk screening, and effective intervention should be provided to improve the prognosis of such patients.

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PURPOSE: The Geriatric Nutrition Risk Index (GNRI) is a simple and validated tool used to assess the nutritional status of elderly patients and predict the risk of short-term postoperative complications, as well as the long-term prognosis, after cancer surgery. In this study, we aimed to evaluate the predictive value of GNRI for the long-term postoperative prognosis in elderly patients with primary non-muscle-invasive bladder cancer (NMIBC) who underwent transurethral resection of bladder tumor (TURBT). METHODS: We retrospectively analyzed data from 292 elderly patients with primary NMIBC. Using X-tile software, we divided the cohort into two groups based on GNRI and determined the cut-off value for postoperative recurrence-free survival (RFS). Propensity score matching (PSM) with a ratio of 1:3, Kaplan-Meier analysis, log-rank test, and COX proportional hazards regression were used to assess the correlation between GNRI and prognosis and identify factors predicting recurrence and progression. RESULTS: In the entire cohort, the 3 year recurrence group had significantly lower GNRI compared to the 3 year non-recurrence group (P = 0.0109). The determined GNRI cut-off value was 93.82. After PSM, the low GNRI group had significantly lower RFS (P < 0.0001) and progression-free survival (PFS) (P = 0.0040) than the high GNRI group. Multivariate COX regression showed that GNRI independently predicted RFS (HR 2.108; 95% CI 1.266-3.512; P = 0.004) and PFS (HR 2.155; 95% CI 1.135-4.091; P = 0.019) in elderly patients with primary NMIBC. CONCLUSION: Preoperative GNRI is a prognostic marker for disease recurrence and progression in elderly patients with primary NMIBC undergoing TURBT.

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BACKGROUND: Geriatric nutritional risk index (GNRI) on the prognosis of patients with diffuse large B-cell lymphoma (DLBCL) remains unclear. The purpose of this meta-analysis was to discuss the value of the GNRI in evaluating long-term outcomes in DLBCL. METHODS: We systematically and roundly retrieved PubMed, Cochrane Library, Embase, Scopus and Web of Science electronic databases from inception of the databases to March 20, 2023. At the same time, we calculated the pool hazard ratios (HRs) with their 95% confidence interval (CI) for overall survival and progression-free survival to assess the effect of GNRI on the prognosis of DLBCL patients. RESULTS: In our primary meta-analysis, 7 trials with a total of 2448 patients were enrolled. Results showed that lower level of GNRI was related to poorer overall survival (HR = 1.78, 95% CI 1.27, 2.50, p < 0.01) and worse progression-free survival (HR = 2.31, 95% CI 1.71, 3.13, p < 0.01) in DLBCL patients. CONCLUSION: The results of our meta-analysis indicate that a lower GNRI significantly associated with poorer prognosis for DLBCL. It is believed that GNRI was a promisingly predictive indicator of survival outcomes in DLBCL patients. However, large multicenter prospective studies are necessary to verify the results.

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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.

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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.

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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.

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