GNRI as a Prognostic Factor for Outcomes in Cancer Patients: A Systematic Review of the Literature

Clinical significance of geriatric nutritional risk index in esophageal squamous cell carcinoma receiving neoadjuvant immunotherapy

OBJECTIVE

The geriatric nutritional risk index (GNRI) is a novel nutrition-related indicator designed to predict the risk of clinical outcomes in various cancers. The clinical significance of risk assessment, therapeutic response, and prognostic prediction of GNRI in esophageal squamous cell carcinoma (ESCC) receiving neoadjuvant immunochemotherapy (NICT), a hot point of treatment these days, have not been documented in any research.

METHODS

Two hundred and twenty-four cases with ESCC who underwent radical resection after NICT were retrospectively recruited. Using the calculation formula of GNRI (1.489 × albumin (g/L) + 41.7 × current weight/ideal weight), the cases were split into two cohorts. Analysis was done on the connections between GNRI and clinical outcomes, such as clinical features, postoperative complications, and pathological complete response (pCR). Prognostic factors of overall survival (OS) and disease-free survival (DFS) were also performed.

RESULTS

Patients were then categorized as low (n = 139) or high (n = 85) group based on the threshold. After radical surgery, 67 patients achieved pCR (29.9%). Higher pCR rates were attained by patients in the high GNRI group (41.2% vs. 23.0%, P = 0.004). Lower GNRI patients experienced a considerably higher severe morbidity (36.7% vs. 23.5%, P = 0.040), particularly in the case of respiratory complications (28.8% vs. 14.1%, P = 0.012). Compared to high GNRI patients, lower GNRI cases had inferior 3-year OS (68.5% vs. 87.3%, P = 0.003) and DFS (64.8% vs. 81.5%, P = 0.002). It was also discovered that GNRI was a significant independent variable of both DFS [hazard ratios (HR) = 0.436, P = 0.009] and OS (HR = 0.294, P = 0.012).

CONCLUSION

The GNRI, based on nutrition-related indicators, was independently related to postoperative complications, pCR prediction, and prognostication in ESCC receiving NICT.

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.

Impact of preoperative haemoglobin, albumin, lymphocyte, and platelet score on oral cancer prognosis

OBJECTIVE

To evaluate the preoperative haemoglobin, albumin, lymphocyte, and platelet score as a prognostic indicator in oral squamous cell carcinoma treated by radical surgery.

SUBJECTS AND METHODS

Patients (83 men, 32 women; 65.80 ± 11.47 years) who underwent radical surgery between 2012 and 2022 were included. Factors affecting overall survival and disease-free survival according to the haemoglobin, albumin, lymphocyte, and platelet score were examined. Patients were categorised into low- and high-score groups using optimal cut-off values obtained from receiver operating characteristic curve analysis.

RESULTS

The low-score group had poorer overall and disease-free survival (p < 0.001 each). Multivariate analysis identified alcohol consumption (hazard ratio [HR], 3.83; 95% confidence interval [CI]: 1.56-9.41, p = 0.003); vascular invasion (HR, 3.97; 95% CI: 1.60-9.85, p = 0.003); and the haemoglobin, albumin, lymphocyte, and platelet score (HR, 0.39; 95% CI: 0.20-0.78, p = 0.007) as independent prognostic factors for overall survival and vascular (HR, 3.66; 95% CI: 1.79-7.50, p < 0.001) and lymphovascular (HR, 2.44; 95% CI: 1.36-4.41, p = 0.003) invasion as independent prognostic factors for disease-free survival.

CONCLUSION

The preoperative haemoglobin, albumin, lymphocyte, and platelet score may be a significant prognostic factor for patients with oral squamous cell carcinoma undergoing radical surgery.

Prognostic value of the geriatric nutritional risk index and other hematological markers on long-term survival in the geriatric population

OBJECTIVES

The prognostic value of hematological markers has not been extensively explored in the geriatric population, particularly in the presence of the frailty phenotype among hospitalized individuals. Therefore, our study aimed to assess the influence of the frailty phenotype in hospitalized geriatric individuals on hematological markers and their impact on short- and long-term outcomes.

METHODS

This is a secondary analysis of a prospective cohort study. This study involved hospitalized individuals who were followed during their hospitalization and for nearly 2 years after discharge. At baseline, Fried's frailty phenotype was assessed, as well as hematological markers, including neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, neutrophil-monocyte ratio, platelet-lymphocyte ratio, systemic inflammation index, prognostic nutritional index, geriatric nutritional risk index (GNRI), and C-reactive protein-albumin ratio. The phase angle derived from bioelectrical impedance analysis was likewise considered a prognostic biomarker. Our main outcomes were hospital length of stay and mortality during follow-up.

RESULTS

Frailty occurred in 43.2% of the population. Individuals with the frailty phenotype exhibited worse hematological markers and lower phase angle values. Low GNRI and elevated C-reactive protein-albumin ratio values were independently associated with mortality (hazard ratio = 6.88, 95% confidence interval 2.0-23.6; hazard ratio = 2.2, 95% confidence interval 1.1-4.4). Only higher values of the systemic inflammation index were independently associated with prolonged hospital stays.

CONCLUSION

Hematological markers may serve as a feasible tool for prognostic assessment. Individuals with the frailty phenotype and low GNRI represented a worst-case scenario. Geriatr Gerontol Int 2024; 24: 312-318.

Shoulder arthroscopy in elderly patients: malnutrition and early postoperative outcomes

Background

This study investigates the association between the Geriatric Nutritional Risk Index (GNRI), a simple, readily available malnutrition risk index, and 30-day postoperative complications following shoulder arthroscopy.

Methods

The American College of Surgeons National Surgical Quality Improvement Program database was used to identify all patients aged ≥65 years who underwent shoulder arthroscopy between 2015 and 2021. The study population was indexed into 3 cohorts of preoperative GNRI: normal/reference (GNRI >98), moderate malnutrition (92≤ GNRI ≤98), and severe malnutrition (GNRI <92). Multivariate logistic regression analysis was conducted to investigate the connection between preoperative GNRI and postoperative complications.

Results

Severe malnutrition was independently significantly associated with a greater likelihood of any complication (odds ratio [OR]: 11.70, 95% confidence interval [CI]: 8.58-15.94; P < .001), sepsis (OR: 26.61, 95% CI: 10.86-65.21; P < .001), septic shock (OR: 7.53, 95% CI: 1.56-36.32; P = .012), blood transfusions (OR: 25.38, 95% CI: 6.40-100.59; P < .001), pulmonary embolism (OR: 7.25, 95% CI: 1.27-41.40; P = .026), surgical site infection (OR: 22.08, 95% CI: 7.51-64.97; P < .001), nonhome discharge (OR: 15.75, 95% CI: 9.83-25.23; P < .001), readmission (OR: 2.69, 95% CI: 1.52-4.74; P < .001), unplanned reoperation (OR: 6.32, 95% CI: 2.23-17.92; P < .001), length of stay >2 days (OR: 23.66, 95% CI: 16.25-34.45; P < .001), and mortality (OR: 14.25, 95% CI: 2.89-70.40; P = .001).

Conclusion

GNRI-based malnutrition is strongly predictive of perioperative complications following shoulder arthroscopy in geriatric patients and has utility as an adjunctive risk stratification tool.

The Geriatric Nutritional Risk Index Predicts Prognosis in Japanese Patients with LATITUDE High-Risk Metastatic Hormone-Sensitive Prostate Cancer: A Multi-Center Study

Malnutrition is associated with prognosis in cancer. The geriatric nutritional risk index (GNRI), based on the ratio of actual to ideal body weight and also serum albumin level, is a simple screening tool for assessing nutrition. We investigated the GNRI as a prognostic factor for oncological outcomes in patients with high-risk metastatic hormone-sensitive prostate cancer (mHSPC) using a Japanese multicenter cohort. This study included a total of 175 patients with LATITUDE high-risk mHSPC, of whom 102 had received androgen deprivation therapy (ADT) plus upfront abiraterone acetate, and 73 had received ADT plus bicalutamide (Bica), from 14 institutions associated with the Tokai Urologic Oncology Research Seminar. Patients were classified into GNRI-low (<98) or GNRI-high (≥98) groups. The GNRI was based on the body mass index and serum albumin level. Kaplan-Meier analysis revealed that the median overall survival (OS) of a GNRI-low group (median 33.7 months; 95% confidence interval [CI]: 26.2-not reached [NR]) was significantly worse than that of a GNRI-high group (median: NR; 95% CI: NR-NR; p < 0.001). Multivariate analysis identified Bica and low GNRI (<98) as independent prognostic factors for reduced times to both castration-resistant prostate cancer and OS, and, therefore, a poor prognosis. Our findings indicate the GNRI may be a practical prognostic indicator in the evaluation of survival outcomes in patients with LATITUDE high-risk mHSPC.

Predicting Risk of Severe Toxicity and Early Death in Older Adult Patients Treated with Chemotherapy

BACKGROUND

Determining the risk of grade 3-5 toxicity and early death (ED) is important to plan chemotherapy in older adult patients with cancer. Our objective was to identify factors predicting these complications at the time of treatment initiation.

METHODS

234 patients aged ≥70 were subjected to a geriatric assessment and variables related to the tumor and the treatment were also collected. Logistic regression multivariable analysis was used to relate these factors with the appearance of grade 3-5 toxicity and ED. Predictive scores for both toxicity and ED were then developed.

RESULTS

Factors related to grade 3-5 toxicity were hemoglobin, MAX2 index, ADL, and the CONUT score. Factors related to ED were tumor stage and the GNRI score. Two predictive scores were developed using these variables. ROC curves for the prediction of toxicity and ED were 0.71 (95% CI: 0.64-0.78) and 0.73 (95% CI: 0.68-0.79), respectively.

CONCLUSIONS

Two simple and reliable scores were developed to predict grade 3-5 toxicity and ED in older adult patients with cancer. This may be helpful in treatment planning.

Prognostic significance of psoas muscle index in male hepatocellular carcinoma patients treated with immune checkpoint inhibitors and tyrosine kinase inhibitors

Currently, the relationship between nutritional indices and the prognosis of hepatocellular carcinoma (HCC) patients treated with immune checkpoint inhibitors (ICIs) and tyrosine kinase inhibitors (TKIs) remains unclear. This study aims to investigate the prognostic value of psoas muscle index (PMI), prognostic nutritional index (PNI), body mass index (BMI), and geriatric nutritional risk index (GNRI) in HCC patients treated with ICIs combined with TKIs. A total of 124 male patients with HCC were included in this study. PNI, PMI, BMI, and GNRI were calculated at the beginning of treatment. The Cox proportional hazards model was used to analyze the effect of various variables. In the univariate analysis, PMI, PNI, GNRI, and ALB were found to impact the outcomes of the patients at different follow-up times. However, the predictive value of these nutritional indices was eliminated when established risk factors were considered. In the multivariate analysis that only included nutrition-related indicators, PMI emerged as an independent prognostic factor for 1-year treatment outcomes. The group with low PMI (≤5.5409 cm2/m2) was found to have a higher risk of death at one year and at the end of the follow-up period.

The Addition of the Geriatric Nutritional Risk Index to the Prognostic Scoring Systems Did Not Improve Mortality Prediction in Trauma Patients in the Intensive Care Unit

Background

Malnutrition is prevalent among critically ill patients and has been associated with a poor prognosis. This study sought to determine whether the addition of a nutritional indicator to the various variables of prognostic scoring models can improve the prediction of mortality among trauma patients in the intensive care unit (ICU).

Methods

This study's cohort included 1,126 trauma patients hospitalized in the ICU between January 1, 2018, and December 31, 2021. Two nutritional indicators, the prognostic nutrition index (PNI), a calculation based on the serum albumin concentration and peripheral blood lymphocyte count, and the geriatric nutritional risk index (GNRI), a calculation based on the serum albumin concentration and the ratio of current body weight to ideal body weight, were examined for their association with the mortality outcome. The significant nutritional indicator was served as an additional variable in prognostic scoring models of the Trauma and Injury Severity Score (TRISS), the Acute Physiology and Chronic Health Evaluation (APACHE II), and the mortality prediction models (MPM II) at admission, 24, 48, and 72 h in the mortality outcome prediction. The predictive performance was determined by the area under the receiver operating characteristic curve.

Results

Multivariate logistic regression revealed that GNRI (OR, 0.97; 95% CI, 0.96-0.99; p=0.007), but not PNI (OR, 0.99; 95% CI, 0.97-1.02; p=0.518), was independent risk factor for mortality. However, none of these predictive scoring models showed a significant improvement in prediction when the GNRI variable is incorporated.

Conclusions

The addition of GNRI as a variable to the prognostic scoring models did not significantly enhance the performance of the predictors.

Prognostic Role of Geriatric Nutritional Risk Index in Patients with Pancreatic Cancer: A Meta-Analysis

Background: The Geriatric Nutritional Risk Index (GNRI) is used to assess the prognosis of patients with pancreatic cancer. Therefore, this meta-analysis was conducted to evaluate the association between the GNRI and prognosis in pancreatic cancer.Methods: We performed a pooled analysis of the hazard ratios (HRs) and 95% confidence intervals (CIs) of the GNRI for survival in pancreatic cancer. Using pooled odds ratios (ORs) and 95% CIs, we investigated the association between the GNRI and clinicopathological characteristics of pancreatic cancer.Results: Six studies were included in this meta-analysis, totaling 1,513 patients. A low GNRI was significantly associated with a poorer overall survival (OS) in the pooled results (HR, 1.95; 95% CI, 1.29-2.94; p = 0.002) in pancreatic cancer. However, GNRI was not significantly associated with progression-free survival (PFS) in pancreatic cancer (HR, 1.57; 95% CI, 0.90-2.73; p = 0.114). The pooled results indicated that a low GNRI was significantly associated with tumor location of pancreas head (OR, 2.18; 95% CI, 1.45-3.29; p < 0.001).Conclusions: This meta-analysis showed that low GNRI was significantly associated with poor OS but not with poor PFS in patients with pancreatic cancer. The GNRI is a novel and effective risk factor and a potential biomarker for the prognosis of pancreatic cancer.

Lymphocyte-C-reactive protein ratio with calf circumference could better predict survival of patients with non-metastatic cancer

Systemic inflammatory responses caused by tumor cells play an important role in the occurrence and development of tumors. The aim of this study was to identify biomarkers that most accurately predict prognoses in patients with non-metastatic cancer and to evaluate their clinical significance when combined with muscle markers. This study retrospectively evaluated 2,797 cancer patients diagnosed with cancer at TNM stages I, II, and III. Lymphocyte-C-reactive protein ratio (LCR) in conjunction with calf circumference (CC) were used (or chosed) after evaluating the predictive value of 13 inflammatory marker combinations and five anthropometric indicators for patient outcomes using the C-index. The Kaplan-Meier method and Cox's proportional hazards regression modeling were used to analyze the individual and combined effects of these two potential biomarkers on overall survival. This study enrolled 1,604 men (57.3%) and 1,193 women (42.7%) with a mean age of 58.75 years. Among the 13 inflammatory nutritional indicators, the LCR was the most accurate predictor of prognoses in patients with non-metastatic cancer. After multifactorial adjustment, we found that low LCR had an adverse effect on overall survival (hazard ratio [HR]: 2.50; 95% confidence interval [CI]: 2.17, 2.88; P < 0.001). Low LCR combined with low CC was also shown to be an independent risk factor for poor overall survival (HR: 2.26; 95% CI: 1.80, 2.83; P < 0.001). Compared with LCR or CC alone, the combination of the two had greater prognostic value for patients with non-metastatic cancer. The LCR can be implemented as a useful biomarker to predict prognoses in patients with non-metastatic cancer. CC is the best anthropometric indicator of muscle loss in patients with non-metastatic cancer. The combination of LCR and CC can better predict the prognosis of patients with non-metastatic cancer, and can provide important information for clinicians to formulate diagnosis and treatment plans.

The Geriatric Nutritional Risk Index is a prognostic marker in patients with metastatic colorectal cancer

BACKGROUND

The Geriatric Nutritional Risk Index (GNRI) is a nutritional index for elderly patients that is associated with prognosis in cancer patients. We investigated using the GNRI in patients with metastatic colorectal cancer to predict prognosis.

METHODS

This study included 419 metastatic colorectal cancer patients who received first-line chemotherapy between February 2005 and December 2020. First, we calculated pre-treatment GNRI and divided the patients into four groups according to the values (G1-G4). We evaluated patient characteristics and overall survival in the four groups.

RESULTS

Overall, 419 patients were included. The median follow-up was 34.4 months. Lower GNRI was positively associated with a lower grade Eastern Cooperative Oncology Group Performance Status (p = 0.009), synchronous metastases (p < 0.001), primary tumor resection prior to chemotherapy (p = 0.006), and did not undergo resection after chemotherapy (p < 0.001). Patients with low GNRI had significantly shorter overall survival than the group with high GNRI (median OS: G1 = 19.3 months [M], G2 = 30.8 M, G3 = 38 M, G4 = 39.7 M; log-rank test, p < 0.001). Multivariate Cox regression analysis showed that GNRI was an independent prognostic factor (G3: HR = 0.49, 95% CI = 0.35-0.69; G4: HR = 0.67, 95% CI = 0.48-0.93). In the subgroup analysis of overall survival, we found no interaction between clinicopathological factors and the prognostic value of GNRI. Interestingly, younger patients (< 70 years) but not older patients showed a significant difference in overall survival according to GNRI, despite being the metric being designed for elderly patients.

CONCLUSION

Pretreatment GNRI can be a prognostic marker for patients with mCRC who received systemic chemotherapy.

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 β = 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.

The Geriatric Nutritional Risk Index predicts sarcopenia in patients with cirrhosis

Patients with cirrhosis are at high risk for sarcopenia and malnutrition, which are associated with reduced quality of life and increased mortality. We investigated the relationship between the Geriatric Nutritional Risk Index (GNRI) and sarcopenia/gait speed and assessed the usefulness of the GNRI for predicting sarcopenia in patients with cirrhosis. We evaluated 202 patients with cirrhosis and divided them into three groups based on baseline GNRI values: low (L)-GNRI (< 94.0, n = 49), intermediate (I)-GNRI (between 94.0 and 109.5, n = 103), and high (H)-GNRI groups (> 109.5, n = 50). Sarcopenia was diagnosed according to the criteria of the Japan Society of Hepatology. The prevalence of sarcopenia and slow gait speed was the lowest in the H-GNRI group (8.0% and 26.0%, respectively) and the highest in the L-GNRI group (49.0% and 44.9%, respectively). They increased stepwise with a decline in the GNRI group (p < 0.001 and p = 0.05, respectively). The GNRI values were significantly and positively correlated with handgrip strength, skeletal muscle mass index, and gait speed. Multivariate analysis identified lower GNRI as an independent risk factor for sarcopenia. The optimal cutoff value of the GNRI for predicting sarcopenia was 102.1 (sensitivity/specificity, 0.768/0.630). The GNRI was significantly associated with sarcopenia and physical performance and could be a helpful screening tool for predicting sarcopenia in patients with cirrhosis.

The Prognostic Role of GLIM Criteria in Postoperative Outcomes after Upper Gastrointestinal Cancer Surgery: A Meta-Analysis of Observational Studies

Oncologic patients often suffer from malnutrition, which might negatively affect treatment outcomes. Global Leadership Initiative on Malnutrition (GLIM)-based malnutrition is associated with short- and long-term outcomes in cancer patients. The aim of the current meta-analysis was to determine the impact of GLIM-defined malnutrition on postoperative complications and survival in esophageal and gastric cancer patients. A systematic search was conducted to identify studies published until February 2022 that assessed the association between GLIM criteria and short- and long-term outcomes in esophageal and gastric cancer patients. We included seven observational studies reporting on a total of 3662 patients with esophageal and gastric cancer. GLIM-defined malnutrition was associated with increased overall complications (pooled HR 2.58, 95% CI 1.45-4.59, p = 0.001). Malnutrition was significantly associated with decreased overall survival (pooled HR 1.63, 95% CI 1.18-1.84, p = 0.003) as well as with decreased disease-free survival (pooled HR 1.78, 95% CI 1.36-2.33, p < 0.0001). GLIM-based malnutrition was associated with an increased risk for developing postoperative complications and impaired survival of esophageal and gastric cancer patients. Our findings support the use of GLIM criteria in clinical practice as a relatively simple and reliable tool for assessing the nutritional status of oncologic patients.

Impact of malnutrition as defined by the GLIM criteria on treatment outcomes in patients with cancer: A systematic review and meta-analysis

BACKGROUND & AIMS

Malnutrition has been reported to lead to poor postoperative outcomes. The Global Leadership Initiative on Malnutrition (GLIM) criteria were published in 2019 as a global consensus on the criteria for diagnosing malnutrition. However, the relationship between GLIM-defined malnutrition and treatment outcomes in patients with cancer has not been fully investigated. Therefore, this study aimed to clarify the impact of GLIM-defined malnutrition on the treatment outcomes of patients with cancer.

METHODS

We searched MEDLINE, the Cochrane Central Register of Controlled Trials, EMBASE, the World Health Organization International Clinical Trials Platform Search Portal, and ClinicalTrials.gov and identified observational studies published from inception to January 17, 2022. We conducted a systematic review and random-effects meta-analysis studies that included patients with cancer aged >18 years who received any kind of treatment and whose nutritional status was assessed using GLIM criteria. We independently assessed the risk of bias and quality of evidence using Quality In Prognosis Studies and Grading of Recommendations, Assessment, Development, and Evaluation approach. The primary outcomes were overall survival (OS) and postoperative complications. Hazard ratios and 95% confidence intervals (CIs) for OS and relative risk ratios and 95% CIs for postoperative complications were pooled. The protocol was published by PROSPERO (CRD42022304004).

RESULTS

Of 67 studies after screening, ten studies (n = 11,700) reported the impact of GLIM-defined malnutrition on postoperative outcomes. Compared with no malnutrition, GLIM-defined malnutrition may worsen OS (hazard ratio, 1.56; 95% CI, 1.38-1.75; I² = 37%) and increase postoperative complications (relative risk ratio, 1.82; 95% CI, 1.28-2.60; I² = 87%). The risk of bias in each study was either moderate or high. The certainty of the evidence was low because of publication bias and a moderate or high risk of bias.

CONCLUSIONS

GLIM-defined malnutrition may worsen OS and increase the risk of postoperative complications in patients with cancer undergoing treatment. Further studies are needed to confirm these findings and mitigate this risk.

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.

A nutritional assessment tool, GNRI, predicts sarcopenia and its components in type 2 diabetes mellitus: A Japanese cross-sectional study

Background

There are few reports evaluating the relationship between undernutrition and the risk of sarcopenia in type 2 diabetes mellitus (T2DM) patients.

Objective

We investigated whether undernutritional status assessed by the geriatric nutritional risk index (GNRI) and controlling nutritional status (CONUT) were associated with the diagnosis of sarcopenia.

Methods

This was a cross-sectional study of Japanese individuals with T2DM. Univariate or multivariate logistic regression analysis was performed to assess the association of albumin, GNRI, and CONUT with the diagnosis of sarcopenia. The optimal cut-off values were determined by the receiver operating characteristic (ROC) curve to diagnose sarcopenia.

Results

In 479 individuals with T2DM, the median age was 71 years [IQR 62, 77], including 264 (55.1%) men. The median duration of diabetes was 17 [11, 23] years. The prevalence of sarcopenia was 41 (8.6%) in all, 21/264 (8.0%) in men, and 20/215 (9.3%) in women. AUCs were ordered from largest to smallest as follows: GNRI > albumin > CONUT. The cut-off values of GNRI were associated with a diagnosis of sarcopenia in multiple logistic regression analysis (odds ratio 9.91, 95% confidential interval 5.72-17.2), P < 0.001. The superiority of GNRI as compared to albumin and CONUT for detecting sarcopenia was also observed in the subclasses of men, women, body mass index (BMI) < 22, and BMI ≥ 22.

Conclusions

Results showed that GNRI shows a superior diagnostic power in the diagnosis of sarcopenia. Additionally, its optimal cut-off points were useful overall or in the subclasses. Future large and prospective studies will be required to confirm the utility of the GNRI cut-off for undernutrition individuals at risk for sarcopenia.

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.

Prognostic impact of geriatric nutritional risk index on patients with urological cancers: A meta-analysis

Background

Despite previous research examining the predictive value of the geriatric nutritional risk index (GNRI) in individuals with urological cancers (UCs), results have been conflicting. This study aimed to comprehensively explore the potential link between GNRI and the prognosis of UCs using a meta-analysis.

Methods

The Cochrane Library, PubMed, Embase, and Web of Science databases were systematically and exhaustively searched. We estimated the prognostic importance of the GNRI in patients with UCs by calculating the pooled hazard ratios (HRs) and 95% confidence intervals (CIs) on survival outcomes. Publication bias was identified using Egger's test and Begg's funnel plot.

Results

Eight trials with 6,792 patients were included in our meta-analysis. Patients with UCs who had a lower GNRI before treatment had a higher risk of experiencing worse overall survival (HR = 2.62, 95% CI = 1.69-4.09, p < 0.001), recurrence-free survival/progression-free survival (HR = 1.77, 95% CI = 1.51-2.08, p < 0.001), and cancer-specific survival (HR = 2.32, 95% CI = 1.28-4.20, p = 0.006). Moreover, the subgroup analysis did not change the predictive significance of the GNRI in individuals with UCs. Neither Egger's nor Begg's test indicated substantial bias in this analysis.

Conclusion

As a result of our meta-analysis, we found that a low GNRI strongly predicts poor prognosis for patients with UCs. A lower pretreatment GNRI indicates poor survival outcomes in UCs.

Relationships Between Hair Chemical Elements and Nutritional Status in Oldest-Old and Centenarian Populations

Background

Hair chemical elements reflect physical condition over time. Collection, transporting, and storing hair is more convenient than handling blood. Hair elements show higher levels for a long time, which allows for more accurate and sensitive results than using blood. Studies explored the relationships between elements and age, without full consideration of nutritional status, in older people. This study explored the relationships between hair chemical elements and Geriatric Nutritional Risk Index (GNRI) in oldest-old and centenarian populations to provide an updated reference for nutritional evaluation of older people.

Methods

A total of 152 participants over 80 years old underwent home interviews and physical examinations. An inductively coupled plasma mass spectrometer was used to detect hair chemical elements.

Results

Women accounted for 77.0% of participants. Women had lower levels of zinc, and higher levels of selenium, manganese, lead, iron, and copper than men (P<0.05 for all). Ninety-two participants formed the 80-99 year group, and 60 participants formed the 100+ year group. Centenarians had lower levels of selenium, lead, iron, and copper than those aged 80-99 years (P<0.05 for all). Hair selenium levels were positively associated with GNRI (odds ratio: 11.55, 95% confidence interval: 3.42-19.68, P < 0.05) based on a multivariate linear regression analysis. Other chemical elements had no significant associations with GNRI based on a multivariate linear regression analysis.

Conclusion

Chemical elements and nutrient status were altered based on age and gender, and an association existed between hair selenium and nutritional status in older people. Chemical elements may influence and indicate nutritional status in older people.

The Impact of Controlling Nutritional Status (CONUT) score on functional prognosis in hospitalized elderly patients with acute osteoporotic vertebral fractures

BACKGROUND

Nutritional status, which is associated with osteoporosis and muscle weakness is considered an important factor in the management of acute osteoporotic vertebral fracture (AOVF). However, few reports have investigated the nutritional status of hospitalized patients with AOVF and the impact of malnutrition on their functional prognosis. This study aimed to evaluate the nutritional status of hospitalized elderly patients with AOVF using the Controlling Nutritional Status (CONUT) score and to determine the usefulness of the CONUT score in predicting their functional prognosis.

METHODS

The CONUT score on admission was retrospectively calculated for 134 hospitalized elderly patients (mean age 83 ± 7.6 years, 66% female) with AOVF who received conservative treatment between 2017 and 2020. Functional outcome was assessed by comparing ambulatory ability before the onset of AOVF and upon discharge. Patients were divided into two groups: CONUT-high ( ≥ 4) and CONUT-low ( ≤ 3), according to receiver operating characteristic (ROC) analysis to predict decline in ambulatory ability upon discharge. Logistic regression analysis was performed to obtain odds ratios (OR) and 95% confidence intervals (CI) of the relationships between the nutritional status and ambulatory ability. The discriminative power of the CONUT score was then compared with other nutritional assessment tools such as the Geriatric Nutritional Risk Index (GNRI) and prognostic nutritional index (PNI) by ROC analysis.

RESULTS

81% of hospitalized patients with an AOVF were malnourished at the time of admission. The CONUT-high group had a significantly higher rate of decline in ambulatory ability (P < 0.001) than the CONUT-low group. Logistic regression analysis revealed the CONUT score ( ≥ 4) as an independent risk factor for a decline in ambulatory ability (OR 3.44, 95% CI 1.61-7.37, P = 0.0014). ROC analysis showed that the area under the curve (AUC) for the CONUT score (AUC = 0.724) was significantly greater than that for the GNRI (AUC = 0.624, P = 0.021) and PNI (AUC = 0.636, P = 0.0008).

CONCLUSIONS

This study showed that 81% of hospitalized elderly patients with AOVFs were malnourished and that the CONUT score was a useful predictive factor of functional prognosis.

Comparison of the geriatric nutritional risk index and the prognostic nutritional index in determining survival outcome in patients with non-small cell lung cancer undergoing surgical resection: A cohort study

To assess the clinical feasibility of the geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI) as determinants of survival in patients with stage I to III non-small cell lung cancer (NSCLC). This retrospective study included patients with stage I to III NSCLC from all age groups. Hazard ratios (HRs) for overall survival (OS), cancer-specific survival (CSS), and relapse-free survival (RFS) were calculated using the Cox regression analysis. The concordance index (C-index) of the models was evaluated following the establishment of the prognostic models for survival. The median patient age was 69 years, and 64.6% of the patients were male. In total, 172 (65.4%) patients were classified as having stage I disease, 52 (19.8%) as stage II disease, and 39 (14.8%) as stage III disease. Using multivariate Cox regression analysis, the HRs of GNRI for OS, CSS, and RFS were 0.37 (P = .003), 0.47 (P = .041), and 0.38 (P < .001), respectively. However, the HRs of the PNI for survival outcomes were not statistically significant. Overall, age, sex, tumor-node-metastasis (TNM) stage, pleural invasion (PI), and GNRI were significant determinants of OS and constituted the OS model (concordance index [C-index], 0.824). In addition, age, TNM stage, PI, and GNRI were significant determinants of CSS and constituted the CSS model (C-index, 0.828). Finally, TNM stage, PI, lymphatic invasion, and GNRI were significant determinants of RFS and constituted the RFS model (C-index, 0.783). Our study showed that GNRI, but not PNI, was a predictor of OS, CSS, and RFS in patients with stage I-III NSCLC across all age groups. Excellent discriminant power was observed for OS, CSS, and RFS models.

Geriatric Nutritional Risk Index and the Prognosis of Patients with Stroke: A Meta-Analysis

Malnutrition evidenced by low geriatric nutritional risk index (GNRI) has been suggested as a potential predictor of poor prognosis of patients with various clinical conditions. We performed a meta-analysis to systematically assess the association between GNRI and the prognosis of patients after stroke. Cohort studies were identified by search of PubMed, Embase, Cochrane's Library and Web of Science databases from inception to March 25, 2022, according to the aim of the meta-analysis. A random-effect model incorporating the potential between-study heterogeneity was used to pool the results. Eight cohort studies with 13573 patients with stroke contributed to the meta-analysis. Pooled results showed that malnutrition as evidenced by low GNRI was independently associated with a higher risk of poor functional outcome [risk ratio (RR): 1.54, 95% confidence interval (CI): 1.19 to 1.98, p<0.001; I2=69%] and an increased incidence of all-cause mortality (RR: 1.82, 95% CI: 1.35 to 2.47, p<0.001; I2=74%). Sensitivity analyses showed consistent results in patients with ischemic stroke, and in prospective cohort studies. Subgroup analyses showed that the associations were not significant for patients with GNRI-defined mild malnutrition (p=0.18 and 0.20 for functional and mortality outcomes, respectively), but significant for patients with moderate-severe malnutrition (both p<0.001). Difference in follow-up durations did not significantly affect the associations (p for subgroup difference=0.75 and 0.70, respectively). In conclusion, a low GNRI is associated with poor functional and survival outcomes in patients after stroke.

HALP score and GNRI: Simple and easily accessible indexes for predicting prognosis in advanced stage NSCLC patients. The İzmir 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 &lt; 0.001) for HALP, and 53.60 (AUC = 0.932; 95% CI: 0.908–0.955, p &lt; 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 &lt; 0.001); low GNRI score (HR = 2.901, 95% CI: 2.045–4.114, p &lt; 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.

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

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

Geriatric nutritional risk index as a prognostic factor in patients with recurrent pancreatic cancer

The aim of this study is to investigate the prognostic significance of geriatric nutritional risk index (GNRI) at the time of recurrence in patients with recurrent pancreatic cancer, and the relationship between GNRI and skeletal muscle mass for survival outcomes after recurrence. This study enrolled 77 patients who developed postoperative recurrence. The skeletal muscle mass index (SMI) was used in this study. The patients were divided into a high-GNRI group (n = 36) and a low-GNRI group (n = 41) for the GNRI, and were divided into a high-SMI group (n = 38) and a low-SMI group (n = 39) for SMI. The 2-year post-recurrence overall survival of patients in the high-GNRI group was significantly longer than that of patients in the low-GNRI group (P = 0.001). No significant difference for the 2-year post-recurrence OS curves between the high-SMI group and the low-SMI group was observed (P = 0.125). Upon stratifying the patients with high GNRI or low GNRI according to SMI, There was no significant difference in the 2-year post-recurrence OS curves between the patients with both high GNRI and high SMI and the patients with high GNRI and low SMI (P = 0.399). Similarly, There was no significant difference in the 2-year post-recurrence OS curves between the patients with low GNRI and high SMI and the patients with both low GNRI and low SMI (P = 0.256). Multivariate analysis revealed that the GNRI at the time of recurrence was an independent prognostic risk factor in patients with recurrent pancreatic cancer (P = 0.019). The GNRI at the time of recurrence is useful for predicting the prognosis in patients with recurrence pancreatic cancer. Skeletal muscle mass at the time of recurrence is not contributed to predict post-recurrence survival of patients with recurrent pancreatic cancer.

Geriatric Nutritional Risk Index and Survival of Patients With Colorectal Cancer: A Meta-Analysis

Background

Geriatric nutritional risk index (GNRI) is an indicator of nutritional status derived by serum albumin level and ideal body weight, which has been proposed as a predictor of prognosis for elderly population with various clinical conditions. The objective of the meta-analysis was to comprehensively evaluate the association between baseline GNRI and survival of patients with colorectal cancer (CRC).

Methods

Cohort studies were identified by search of PubMed, Embase, and Web of Science databases from inception to January 05, 2022 according to the aim of the meta-analysis. A random-effect model incorporating the potential between-study heterogeneity was adopted to pool the results.

Results

Nine studies including 3658 patients with CRC contributed to the meta-analysis. Results showed that CRC patients with lower GNRI at baseline had worse overall survival (OS, hazard ratio [HR] 2.39, 95% confidence interval [CI] 1.78-3.23, p&lt;0.001; I2 = 60%) and progression-free survival (PFS, HR 1.77, 95% CI 1.38-2.26, p&lt;0.001; I2 = 33%). The results were consistent in sensitivity analyses limited to elderly patients (HR for OS 2.25, p&lt;0.001; HR for PFS 1.65, p=0.003). Subgroup analyses showed consistent results in patents with different cancer stages, and in studies with median follow-up &lt; and ≥ 5 years (p for subgroup effects all &lt; 0.05).

Conclusion

A lower GNRI at baseline may be independent associated with poor survival outcomes of patients with CRC. Evaluating the nutritional status using GNRI may be important for risk stratification of patients with CRC.

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

OBJECTIVE

To evaluate the correlation between sarcopenia and inflammation- and nutrition-based markers in metastatic colorectal cancer (mCRC) patients.

MATERIALS AND METHODS

Age, body mass index (BMI), neutrophil/lymphocyte ratio (NLR), modified Glasgow prognostic score (mGPS), prognostic nutrition index (PNI), cachexia index (CIn), skeletal muscle index (SMI), controlling nutritional status (CONUT) score, and geriatric nutritional risk index (GNRI) were evaluated in 185 patients. Ideal cut-off values for the GNRI score were determined with the ROC curve analysis, and the patients were divided into two groups as low and high GNRI. Sarcopenia was diagnosed using CT scanning, the gold standard method. Univariate and multivariate Cox proportional hazard analyses were done based on the above-listed parameters to assess the correlation between sarcopenia and changes in immuno-nutrition and inflammatory response. Kaplan-Meier analysis was also done to evaluate survival.

RESULTS

Univariate analysis of the 185 patients based on the EGWSOP 2018 threshold values showed correlation between the presence of sarcopenia and male gender, diagnosed colon cancer, history of metastasectomy, BMI < 24, high mGPS score, PNI score ≥ 45, high CONUT score, and low GNRI score (p < 0.05). In multivariate analysis, low GNRI (HR: 2.40; 95% CI: 1.03-5.544; p = 0.040), and high-CONUT scores (HR: 2.01; 95% CI: 1.06-3.73; p = 0.029) were identified as independent prognostic factors for the presence of sarcopenia.

CONCLUSION

GNRI and CONUT scores are elementary and practical predictors for sarcopenia, a condition which is associated with poor outcomes in mCRC patients.

Geriatric Nutritional Risk Index is Associated with Hospital Death in Elderly Patients with Multiple Organ Dysfunction Syndrome: A Retrospective Study Based on the MIMIC-III Database

Purpose

Elderly patients with multiple organ dysfunction syndrome (MODS) have a higher mortality during hospitalization in the intensive care unit (ICU). Elderly patients often suffer from malnutrition. On the basis of the MIMIC-III database, this study analyzed the effect of the baseline nutritional status on the death of elderly patients with MODS during hospitalization.

Materials and Methods

Elderly patients with MODS were screened out from MIMIC-III 1.4 database. The geriatric nutritional risk index (GNRI) was calculated and used to group patients into: normal nutrition (GNRI > 98) and malnutrition (GNRI ≤ 98) groups. The malnutrition group was divided into mild (92–98), moderate (82–91), and severe (≤81) groups. The differences in the baseline data and the incidence of adverse events between groups were compared. The GAM model was used to determine whether a curve relationship was present between the hospital death of elderly patients with MODS and GNRI and analyze the threshold saturation effect. The multivariate logistic regression was used to calculate the odds ratio (OR) of in-hospital deaths in different GNRI groups. The interaction test was performed to find subgroups with differences.

Results

A total of 2456 elderly patients with MODS were enrolled. A total of 1,273 (51.8%) and 1183 (48.2%) patients were in the normal nutrition and malnutrition groups, respectively. The mortality rate of patients in the normal nutrition group during hospitalization was lower than that in the malnutrition group (206/1273 vs. 292/1183, X2 = 27.410, P < 0.001; OR = 0.59, 95% CI: 0.48–0.72). The GAM model fitting analysis showed a threshold saturation effect at GNRI = 92. Adjusted OR values with GNRI ≥ 92 began to change to 1, and GNRI and death had no association. At GNRI < 92, high GNRI related to low risk of death. Subgroup analysis of patients with GNRI < 92 showed that the risk of death in elderly male patients was lower than that of female patients.

Conclusion

GNRI is related to the severity of illness in elderly patients with MODS. At GNRI < 92, moderate to severe malnutrition increases the risk of death in elderly patients with MODS during hospitalization.

Prognostic impact of preoperative Geriatric Nutritional Risk Index in oral squamous cell carcinoma

OBJECTIVES

To investigate the prognostic impact of preoperative Geriatric Nutritional Risk Index (GNRI) values in older adults undergoing radical surgery for oral squamous cell carcinoma (OSCC).

SUBJECTS AND METHODS

This retrospective study included 61 patients ≥ 65 years old with OSCC (43 men, 18 women; age: 72.1±5.4 years) who underwent radical surgery between 2013 and 2020. Factors influencing overall survival (OS) and disease-free survival (DFS) were examined.

RESULTS

Receiver operating characteristic curve analysis indicated that the optimal GNRI value for classifying patients into low-GNRI (<93.7; OS: n=19 [31.1%], DFS: n=42 [68.9%]) and high-GNRI groups (≥93.7; OS, n=19 [31.1%]; DFS, n=42 [68.9%]) was 93.7. OS and DFS rates were significantly lower in the low-GNRI group than in the high-GNRI group. Univariate analysis indicated that alcohol use, preoperative serum C-reactive protein level, lymphatic invasion, postoperative treatment, and GNRI were significantly correlated with OS, while lymphatic invasion, postoperative treatment, and GNRI were significantly correlated with DFS. In multivariate analysis, only GNRI was significantly correlated with OS. DFS and postoperative treatment were independent predictors of DFS.

CONCLUSIONS

Preoperative GNRI may be a significant prognostic factor in older adults with OSCC. GNRI assessment and nutritional intervention may improve prognosis in patients at high nutritional risk.

Impact of geriatric nutritional risk index on outcomes after gastrectomy in elderly patients with gastric cancer: a retrospective multicenter study in Japan

BACKGROUND

Several studies investigated the utility of inflammation and nutritional markers in predicting the prognosis in patients with gastric cancer; however, the markers with the best predictive ability remain unclear. This retrospective study aimed to determine inflammation and nutritional markers that predicted prognosis in elderly patients over 75 years of age undergoing curative gastrectomy for gastric cancer.

METHODS

Between January 2005 and December 2015, 497 consecutive elderly gastric cancer patients aged over 75 years underwent curative gastrectomy in 12 institutions. The geriatric nutritional risk index (GNRI), prognostic nutritional index, neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, and C-reactive protein/albumin ratio were examined as prognostic markers for overall survival (OS) and disease-specific survival (DSS) using area under the curve (AUC) using receiver operating characteristic (ROC) curve analysis.

RESULTS

The GNRI had the highest AUC and predictive value for both OS (0.637, p < 0.001) and DSS (AUC 0.645, p < 0.001). The study cohort was categorized into the high and low GNRI groups based on the optimal GNRI cut-off values for OS (97.0) and DSS (95.8) determined with the ROC analysis. For both OS and DSS, there was a significant correlation between the GNRI and several clinicopathological factors including age, body mass index, albumin, American Society of Anesthesiologists physical status score, depth of tumor invasion, lymph node metastasis, lymphatic invasion, pathological stage, operation duration, bleeding, procedure, approach, death due to primary disease, and death due to other disease. The GNRI remained a crucial independent prognostic factor for both OS (Hazard ratio [HR] = 1.905, p < 0.001) and DSS in multivariate analysis (HR = 1.780, p = 0.043).

CONCLUSIONS

Among a panel of inflammation and nutritional markers, the GNRI exhibited the best performance as a prognostic factor after curative gastrectomy in elderly patients with gastric cancer, indicating its utility as a simple and promising index for predicting OS and DSS in these patients.

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.

Clinical Significance of Nutrition and Inflammation in Esophageal Cancer Patients with Surgery: A Meta-Analysis

Many studies have reported that the geriatric nutritional risk index (GNRI) and C-reactive protein to albumin ratio (CAR) may be associated with prognosis of esophageal cancer (EC); however, the results are inconsistent. Therefore, we performed a meta-analysis to evaluate the effect of preoperative GNRI and CAR on the prognosis of EC. PubMed, Embase, Cochrane Library, and Web of Science databases were searched. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were used to analyze the relationship between GNRI/CAR and prognosis. Publication bias was estimated using Begg's funnel plot asymmetry test and Egger's test. A total of 21 studies comprising 5,018 patients were included in the meta-analysis. A decreased GNRI was significantly associated with poorer overall survival (OS) (HR = 1.808, 95% CI: 1.489-2.196, P < 0.001) and cancer-specific survival (CSS) (HR = 1.769, 95% CI: 1.193-2.624, P = 0.005), and an increased CAR was significantly associated with lower OS (HR = 2.179, 95% CI: 1.587-2.992, P < 0.001), CSS (HR = 1.733, 95% CI: 1.333-2.253, P < 0.001), and recurrence-free survival (HR = 2.178, 95% CI: 1.328-3.573, P = 0.002). Thus, preoperative GNRI and CAR may be noninvasive and powerful tools for predicting survival outcomes in patients with EC.

Preoperative nutritional evaluation of prostate cancer patients undergoing laparoscopic radical prostatectomy

Background and objective

Prostate cancer (PCa) is one of the most common malignant tumors in men. Geriatric Nutritional Risk Index (GNRI) is an objective index for evaluating nutritional status of elderly people over 65 years old. The aim of the current study was to explore the correlation and predictive value between GNRI and postoperative recovery and complications in PCa patients undergoing laparoscopic radical prostatectomy (LRP).

Methods

Taking 98 as the GNRI boundary value, 96 PCa patients (aged≥65 y) undergoing LRP in the Department of Urology, Affiliated Hospital of North Sichuan Medical College from January 2018 to December 2020 were grouped into malnutrition group (MNg, 34 patients, 35.4%) and normal nutrition group (NNg, 62 patients, 64.6%). Basic information, laboratory examination indexes, operation conditions, postoperative complications and postoperative recovery indexes of patients were recorded and retrospectively analyzed. Clavien-Dindo Classification System (CDCS) was used to assess postoperative complications. T-test was used to analyze differences between the two groups. ROC curve was generated to determine the predictive value of GNRI for postoperative complications.

Results

Percentage of complications was significantly higher in MNg group compared with that in NNg group (P < 0.01). The average grade based on CDCS was significantly lower in NNg group compared with that in MNg group (P < 0.01). Body weight, Body Mass Index (BMI), preoperative hemoglobin value (HGB), serum albumin (ALB) values of MNg and NNg were significantly positively correlated with GNRI (P<0.01). Incidence and severity of postoperative complications of MNg patients were significantly higher compared with those of NNg patients (P<0.05). Average hospitalization cost of MNg patients was higher in MNg patients compared with that of NNg patients (P<0.05). Duration of post-anesthesia care unit (PACU), duration of antibiotic use and duration of indwelling drainage tube were longer in MNg patients compared with those in NNg patients (P<0.05). Furthermore, volume of indwelling drainage tube was higher in MNg patients compared with that in NNg patients (P<0.05).

Conclusion

GNRI is an effective and reliable tool for evaluation of preoperative nutritional status of prostate cancer patients. The findings showed that GNRI is correlated with postoperative recovery and complications, and is an effective predictive marker.

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

Background

Novel evidence showed that the Geriatric Nutritional Risk Index (GNRI) may lead to poor prognosis of human cancers. Therefore, we conducted a meta-analysis to explore the impact of GNRI in lung cancer and its prognostic value.

Methods

We searched the databases of PubMed, Web of Science, Embase, Scopus, and Cochrane Library up to July 2021 for relevant research and merged the hazard ratios (HRs) and 95% confidence intervals (CIs) to evaluate the association between GNRI and overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS) in patients with lung cancer.

Results

Eight studies involving 2,399 patients were included in our primary meta-analysis. The results indicated that lower level of GNRI was associated with poorer OS, RFS, and CSS of lung cancer patients (OS: HR = 1.99, 95% CI: 1.68–2.35, p < 0.0001; RFS: HR = 2.34, 95% CI: 1.11–4.95, p = 0.0258; CSS: HR = 2.45, 95% CI: 1.43–4.18, p = 0.0011). The association was robust after subgroup analysis and sensitivity analysis.

Conclusions

GNRI may be a prognostic factor of lung cancer, which can lead to poorer survival. However, more prospective studies are necessary to confirm the results.

Systematic Review Registration

International Prospective Register of Systematic Reviews (PROSPERO), identifier CRD42021269574.

A simplified frailty score predicts survival and can aid treatment-intensity decisions in older patients with DLBCL

A simplified frailty score predicts survival and toxicity in older patients with DLBCL and can inform treatment-intensity decisions.

Full-dose R-CHOP is not superior to R-miniCHOP in older unfit DLBCL patients, whereas older fit patients likely benefit from full-dose R-CHOP.

Patients with diffuse large B-cell lymphoma (DLBCL) have a median age of 70 years. Yet, empirical knowledge about the treatment of older patients is limited because they are frequently excluded from clinical trials. We aimed to construct a simplified frailty score and examine survival and treatment-related mortality (TRM) according to frailty status and treatment intensity in an older real-world population with DLBCL. All patients aged ≥70 years diagnosed with DLBCL between 2006 and 2016 in southeastern Norway (N = 784) were included retrospectively and divided into training (n = 522) and validation (n = 262) cohorts. We constructed and validated a frailty score based on geriatric assessment variables and examined survival and TRM according to frailty status and treatment. The frailty score identified 3 frailty groups with distinct survival and TRM, independent of established prognostic factors (2-year overall survival [OS]: fit, 82%; unfit, 47%; frail, 14%; P < .001). For fit patients, full-dose R-CHOP (initial dosage >80%) was associated with better survival than attenuated R-CHOP ([R-miniCHOP]; 2-year OS: 86% vs 70%; P = .012), also in adjusted analyses. For unfit and frail patients, full-dose R-CHOP was not superior to R-miniCHOP, whereas an anthracycline-free regimen was associated with poorer survival in adjusted analyses. A simplified frailty score identified unfit and frail patients with a higher risk for death and TRM, which can aid treatment-intensity decisions in older patients with DLBCL. In this study, fit patients benefited from full-dose R-CHOP, whereas unfit and frail patients had no benefit from full-dose R-CHOP over R-miniCHOP. An online calculator for assessment of the frailty score is available at https://wide.shinyapps.io/app-frailty/.

Low Geriatric Nutritional Risk Index Is Associated with Poorer Prognosis in Elderly Diffuse Large B-Cell Lymphoma Patients Unfit for Intensive Anthracycline-Containing Therapy: A Real-World Study

Nutritional assessments, including the Geriatric Nutritional Risk Index (GNRI), have emerged as prediction tools for long-term survival in various cancers. This study aimed to investigate the therapeutic strategy and explore the prognostic factors in the elderly patients (≥65 years) with diffuse large B cell lymphoma (DLBCL). The cutoff value of the GNRI score (92.5) was obtained using the receiver operating characteristic curve. Among these patients (n = 205), 129 (62.9%) did not receive standard R–CHOP chemotherapy. Old age (≥80 years), poor performance status, low serum albumin level, and comorbidities were the major factors associated with less intensive anti-lymphoma treatment. Further analysis demonstrated that a lower GNRI score (<92.5) was linked to more unfavorable clinical features. In the patients who received non-anthracycline-containing regimens (non-R–CHOP), multivariate analysis showed that a low GNRI can serve as an independent predictive factor for worse progression-free (HR, 2.85; 95% CI, 1.05–7.72; p = 0.039) and overall survival (HR, 2.98; 95% CI, 1.02–8.90; p = 0.045). In summary, nutritional evaluation plays a role in DLBCL treatment and the GNRI score can serve as a feasible predictive tool for clinical outcomes in frail elderly DLBCL patients treated with non-anthracycline-containing regimens.

Assessment of Systemic Inflammation and Nutritional Indicators in Predicting Recurrence-Free Survival After Surgical Resection of Gastrointestinal Stromal Tumors

Background

Recent studies have shown that the systemic inflammation and nutritional indicators are prognostic for a variety of malignancies. However, only limited data have so far demonstrated their usefulness in gastrointestinal mesenchymal tumors (GIST).

Methods

We retrospectively analyzed the data of GIST patients who underwent radical surgery in Beijing hospital from October 2004 to July 2018. The area under the receiver operating characteristic curve (AUC) was used to compare several commonly used inflammatory and nutritional indicators. The indicators with largest AUC were further analysis. Optimal cut-off values of those indicators in predicting recurrence-free survival (RFS) were determined. Kaplan-Meier curve and the time-dependent receiver operating characteristic (ROC) curve were used to assess the prognostic values. We then used univariate and multivariate Cox regression analyses to identify prognostic factors that were associated with RFS.

Results

In total, 160 patients who underwent surgery for GIST were included in the study. The median survival time was 34.5 months, with 1-, 3-, and 5-year RFS rates of 96.1%, 84.7%, and 80.8%, respectively. The inflammatory and nutritional indicators with largest AUC were Systemic immunoinflammatory Index (SII) and Geriatric Nutrition Risk Index (GNRI), reached 0.650 and 0.713, respectively. The optimal cutoff of GNRI and SII were 98.3, and 820.0, respectively. Univariate analysis showed that GNRI, SII, KI67, surgery method, tumor location, tumor size, and mitotic index were all significant prognostic indicators of RFS. After multivariate Cox analysis, independent prognostic factors for RFS in GIST included tumor location, mitotic index, tumor size, and GNRI (HR=2.802,95% CI: 1.045 to 7.515, p = 0.041). Besides, SII also tended to be associated with RFS (HR = 2.970, 95% CI: 0.946 to 9.326, p = 0.062).

Conclusions

High GNRI is an independent prognostic factor for RFS in GIST, while SII can be considered as a prognostic factor. GNRI and SII can be used as tools to evaluate the prognosis of patients before surgery, helping doctors to better treat high-risk patients.

Geriatric Nutritional Risk Index as a Prognostic Factor for Mortality in Elderly Patients with Moderate to Severe Traumatic Brain Injuries

Background

The Geriatric Nutritional Risk Index (GNRI) is a simple and objective screening tool for clinicians to screen patients’ nutritional status based on serum albumin level and their weight and height. The original study had divided patients based on GNRI into quartiles of nutritional risk for death: a no-risk group (GNRI >98), a low-risk group (GNRI 92–98), a moderate-risk group (GNRI 82 to <92), and a major-risk group (GNRI <82). Given that the patients generally sustained traumatic brain injury (TBI) in an acute condition, the study aimed to explore whether GNRI presents a prognostic value for the mortality outcome of these patients.

Methods

From January 1, 2009, to December 31, 2019, 581 elderly patients with moderate to severe TBI, which was defined as sustaining a head Abbreviated Injury Scale ≥3, was included in the study population. The collected data included age, sex, body mass index, serum albumin levels at admission, preexisting comorbidities, Glasgow Coma Scale, and Injury Severity Score. The primary outcome in the comparison was in-hospital mortality.

Results

Multivariate logistic regression analysis revealed that GNRI, ESRD, and ISS were significant independent risk factors for mortality in patients with moderate to severe TBI. When subgrouping the study population into four nutritional risk categories according to the quartile deviation as Q1 (GNRI <85, n = 145), Q2 (GNRI 85 to <93.8 n = 145), Q3 (GNRI 93.8 to 103, n = 145), and Q4 (GNRI >103, n = 146), Q1 patients had a significantly longer LOS in hospital (25.2 days vs 18.6 days, respectively; p = 0.004) and higher mortality rate (28.3% vs 11.7%, respectively; p < 0.001) than Q4 patients. The mortality rate was significantly higher in Q1 patients than in Q4 patients (OR, 2.8; 95% CI, 1.14–6.78; p = 0.021).

Conclusion

This study revealed that the GNRI is a significant independent risk factor and a promising simple assessment tool for mortality in elderly patients with moderate to severe TBI.

Nutritional screening based on objective indices at admission predicts in-hospital mortality in patients with COVID-19

BACKGROUND

Could nutritional status serve as prognostic factors for coronavirus disease 2019 (COVID-19)? The present study evaluated the clinical and nutritional characteristics of COVID-19 patients and explored the relationship between risk for malnutrition at admission and in-hospital mortality.

METHODS

A retrospective, observational study was conducted in two hospitals in Hubei, China. Confirmed cases of COVID-19 were typed as mild/moderate, severe, or critically ill. Clinical data and in-hospital death were collected. The risk for malnutrition was assessed using the geriatric nutritional risk index (GNRI), the prognostic nutritional index (PNI), and the Controlling Nutritional Status (CONUT) via objective parameters at admission.

RESULTS

Two hundred ninety-five patients were enrolled, including 66 severe patients and 41 critically ill patients. Twenty-five deaths were observed, making 8.47% in the whole population and 37.88% in the critically ill subgroup. Patients had significant differences in nutrition-related parameters and inflammatory biomarkers among three types of disease severity. Patients with lower GNRI and PNI, as well as higher CONUT scores, had a higher risk of in-hospital mortality. The receiver operating characteristic curves demonstrated the good prognostic implication of GNRI and CONUT score. The multivariate logistic regression showed that baseline nutritional status, assessed by GNRI, PNI, or CONUT score, was a prognostic indicator for in-hospital mortality.

CONCLUSIONS

Despite variant screening tools, poor nutritional status was associated with in-hospital death in patients infected with COVID-19. This study highlighted the importance of nutritional screening at admission and the new insight of nutritional monitoring or therapy.

Association of a Low Geriatric Nutritional Risk Index with Higher Adverse Outcome in the Elderly Patients with Fall Injuries: Analysis of a Propensity Score-Matched Population

Purpose

We evaluate the association of Geriatric Nutritional Risk Index (GNRI) and the adverse outcome in elderly patients (≥65 years old) with fall injuries.

Patients and Methods

Total 1071 elderly patients with fall injuries were enrolled. Patients were divided into four groups: high risk, moderate risk, low risk and no risk (GNRI: <82, 82 to <92, 92 to ≤98 and >98) for patient demography, comorbidities, and adverse outcomes analysis.

Results

After 1:1 propensity score-matched analysis, 97 patients in high-risk group, 144 patients in moderate-risk group, and 114 patients in low-risk group were compared to no risk group. High-risk group patients had a 5.7-fold higher risk of mortality (p = 0.003) and prolong hospital stay (18.0 vs 12.3 days; p = 0.016) when compared to no-risk group patients. Significantly prolong hospital stay were also found in low-risk and moderate-risk group when compared to no risk group.

Conclusion

A lower GNRI is associated with prolonged hospital stay in the elderly patients with fall injuries. High nutritional risk (GNRI < 82) is associated with an increased in-hospital mortality rate.

Postoperative Changes in Nutritional and Functional Status of Gastroesophageal Cancer Patients

OBJECTIVE

Disease-related malnutrition is a debilitating condition frequently observed in patients with cancer. The aim of the current study was to prospectively examine postoperative changes in nutritional and functional status of patients undergoing surgery for gastric, esophageal, and gastroesophageal junction cancer.

METHODS

Participants were prospectively recruited from September 2015 to September 2019. The assessment of malnutrition was based on the Patient-Generated Subjective Global Assessment tool. The functional assessment included the evaluation of muscle strength and physical performance, while muscle mass assessment was based on Skeletal Muscle Mass Index (SMI) derived from the analysis of computed tomography scans. The follow up of patients was scheduled at six months postoperatively.

RESULTS

A total of 98 patients were analyzed. Mean patient age was 60.79 ± 10.19 years and 80.6% were males. The mean unintentional weight loss at 6 months was 11.7 ± 8.0%. Patients who underwent McKeown esophagectomy reported the greatest weight loss postoperatively (16.2 ± 9.6%), whereas the lowest rate of weight loss was observed in patients who underwent partial gastrectomy (5.6 ± 6.7%). The rate of severe malnutrition declined at six months postoperatively (39.7% vs 27%). Muscle strength and physical performance were significantly deteriorated at 6 months postoperatively, except for the group of partial gastrectomy, while SMI significantly decreased in all groups of patients except for McKewon esophagectomy group. Finally, the prevalence of low muscle mass increased significantly from 43.5% in the preoperative period to 66.7% at the follow-up.

CONCLUSIONS

Our study revealed a significant deterioration in gastroesophageal cancer patient nutritional and functional status at six months postoperatively. The high prevalence of malnutrition and low muscle mass requires systematic follow-up and multidirectional monitoring in order to ensure the successful rehabilitation of these patients.

Geriatric Nutritional Risk Index as a Prognostic Marker for Patients With Metastatic Castration-Resistant Prostate Cancer Receiving Docetaxel

Purpose: To investigate the prognostic efficacy of the Geriatric Nutritional Risk Index (GNRI) in patients with metastatic Castration–resistant Prostate Cancer (mCRPC) receiving docetaxel as the first line of treatment.

Methods: We retrospectively reviewed patients with mCRPC and receiving first line docetaxel in Taichung Veterans General Hospital from 2006 to 2012. The GNRI was calculated using serum albumin and body mass index, with a poor nutritional status defined as GNRI <92.0. Multivariate Cox-regression analysis was used to evaluate the risk of survival.

Results: One-hundred seventy patients with mCRPC were included. One-hundred twenty-five patients were of normal nutritional status (GNRI ≥92) and 45 patients were of poor nutritional status (GNRI <92). The cumulative docetaxel dosage was 600 (360–1,185) mg in the normal nutritional status group and 360 (127.5–660) mg in the poor nutritional status group (p < 0.001). The median overall survival from mCRPC was 30.39 months in the good nutritional status group and 11.07 months in the poor nutritional status group (p of log rank <0.001). In a multivariate model, poor nutritional status was an independent risk factor in overall survival (Hazard Ratio [HR] = 5.37, 95% Confidence Interval [CI] 3.27–8.83), together with a high metastatic volume (HR = 4.03, 95% CI 2.16–7.53) and docetaxel cumulative dosage (HR = 0.999, 95% CI 0.999–0.9998).

Conclusion: Poor nutritional status with a GNRI <92 is associated with shorter progression free survival and overall survival in mCRPC patients treated with docetaxel. Metastatic volume and cumulative docetaxel dosage are also independent prognostic factors in overall survival.

The Geriatric Nutritional Risk Index as a Prognostic Factor in Patients with Advanced Non-Small-Cell Lung Cancer

The Geriatric Nutritional Risk Index (GNRI) is widely applied as a prognostic factor in different cancers. We aimed to analyze the prognostic value of the GNRI in 257 patients diagnosed with advanced non-small-cell lung cancer (NSCLC). Patients with GNRI >98, 92-98, and <92 were grouped into normal, low risk and moderate/high risk groups, respectively. There were 45.1% patients at risk for malnutrition. Kaplan-Meier survival curves indicated that patients with lower GNRI scores had a poorer overall survival (OS). Two-year OS for normal, low risk and moderate/high risk groups were 57.4%, 42.3% and 15.8%, respectively. In multivariate survival analysis, GNRI (<92), body mass index (BMI, ≥24 kg/m2), combined therapy, hemoglobin and neutrophil-to-lymphocyte ratio (NLR) were independent prognostic factors of OS. Stratifying by age groups, GNRI (<92), hemoglobin and NLR were independent prognostic factors of OS in patients aged <65 years. GNRI (<92), smoking, BMI (≥24 kg/m2) and platelet-to-lymphocyte ratio were independent prognostic factors of OS in patients aged ≥65 years. In conclusion, GNRI was a significant prognostic factor in advanced NSCLC patients regardless of age. A decreased GNRI may be considered as a clinical trigger for nutritional support in advanced NSCLC patients, though additional studies are still required to confirm the best cut-point.

Association between Geriatric Nutritional Risk Index and Mortality in Older Trauma Patients in the Intensive Care Unit

The geriatric nutritional risk index (GNRI) is a simple and efficient tool to assess the nutritional status of patients with malignancies or after surgery. Because trauma patients constitute a specific population that generally acquires accidental and acute injury, this study aimed to identify the association between the GNRI at admission and mortality outcomes of older trauma patients in the intensive care unit (ICU). Methods: The study population included 700 older trauma patients admitted to the ICU between 1 January 2009 and 31 December 2019. The collected data included age, sex, body mass index (BMI), albumin level at admission, preexisting comorbidities, injury severity score (ISS), and in-hospital mortality. Multivariate logistic regression analysis was conducted to identify the independent effects of univariate predictive variables resulting in mortality in our study population. The study population was categorized into four nutritional risk groups: a major-risk group (GNRI < 82; n = 128), moderate-risk group (GNRI 82 to <92; n = 191), low-risk group (GNRI 92–98; n = 136), and no-risk group (GNRI > 98; n = 245). Results: There was no significant difference in sex predominance, age, and BMI between the mortality (n = 125) and survival (n = 575) groups. The GNRI was significantly lower in the mortality group than in the survival group (89.8 ± 12.9 vs. 94.2 ± 12.0, p < 0.001). Multivariate logistic regression analysis showed that the GNRI (odds ratio—OR, 0.97; 95% confidence interval (CI) 0.95–0.99; p = 0.001), preexisting end-stage renal disease (OR, 3.6; 95% CI, 1.70–7.67; p = 0.001), and ISS (OR, 1.1; 95% CI, 1.05–1.10; p < 0.001) were significant independent risk factors for mortality. Compared to the patients in group of GNRI > 98, those patients in group of GNRI < 82 presented a significantly higher mortality rate (26.6% vs. 13.1%; p < 0.001) and length of stay in hospital (26.5 days vs. 20.9 days; p = 0.016). Conclusions: This study demonstrated that GNRI is a significant independent risk factor and a promising simple screening tool to identify the subjects with malnutrition associated with higher risk for mortality in those ICU elderly trauma patients.

Geriatric Nutritional Risk Index as a Tool to Evaluate Impact of Malnutrition Risk on Mortality in Adult Patients with Polytrauma

BACKGROUND

Identification of malnutrition is especially important in severely injured patients, in whom hypermetabolism and protein catabolism following traumatic injury worsen their nutritional condition. The geriatric nutritional risk index (GNRI), based on serum albumin level and the current body weight/ideal body weight ratio, is useful for identifying patients with malnutrition in many clinical conditions. This study aimed to explore the association between admission GNRI and mortality outcomes of adult patients with polytrauma.

METHODS

From 1 January 2009 to 31 December 2019, a total of 348 adult patients with polytrauma, registered in the trauma database of a level I trauma center, were recognized and categorized into groups of death (n = 71) or survival (n = 277) and into four nutritional risk groups: a high-risk group (GNRI < 82, n = 87), a moderate-risk group (GNRI 82 to <92, n = 144), a low-risk group (GNRI 92-98, n = 59), and a no-risk group (GNRI > 98, n = 58). Univariate and multivariate logistic regression analyses were used to identify the independent risk factors for mortality. The mortality outcomes of patients at various nutritional risks were compared to those of patients in the no-risk group.

RESULTS

The comparison between the death group (n = 71) and the survival group (n = 277) revealed that there was no significant difference in gender predominance, age, pre-existing comorbidities, injury mechanism, systolic blood pressure, and respiratory rate upon arrival at the emergency room. A significantly lower GNRI and Glasgow Coma Scale score but higher injury severity score (ISS) was observed in the death group than in the survival group. Multivariate logistic regression analysis revealed that Glasgow Coma Scale (GCS), odds ratio (OR), 0.88; 95% confidence interval (CI), 0.83-0.95; p < 0.001), ISS (OR, 1.07; 95% CI, 1.04-1.11; p < 0.001), and GNRI (OR, 0.94; 95% CI, 0.91-0.97; p < 0.001) were significant independent risk factors for mortality in these patients. The mortality rates for the high-risk, moderate-risk, low-risk, and no-risk groups were 34.5%, 20.1%, 8.5%, and 12.1%, respectively. Unlike patients in the moderate-risk and low-risk groups, patients in the high-risk group had a significantly higher death rate than that of those in the no-risk group.

CONCLUSIONS

This study revealed that the GNRI may serve as a simple, promising screening tool to identify the high risk of malnutrition for mortality in adult patients with polytrauma.