Low Geriatric Nutritional Risk Index Research Articles

Association between the initial physical activity and functional recovery after 1 month of inpatient rehabilitation for subacute stroke: stratified analysis by nutritional status.

Objectively measured physical activity volume serves as a predictive factor for functional recovery in patients with stroke. Malnutrition, a frequent complication of stroke, may influence the relationship between physical activity and functional recovery. This study aimed to examine the association between physical activity volume and functional recovery in patients with stroke, stratified by their nutritional status. This multicenter prospective observational study included 209 patients with stroke admitted to two Japanese convalescent rehabilitation hospitals. Participants were categorized based on the geriatric nutritional risk index (GNRI) at admission [≥92, high GNRI group ( n  = 133); <92, low GNRI group ( n  = 76)]. Physical activity levels were measured as the duration of total physical activity (TPA), which is the sum of light-intensity physical activity and moderate-to-vigorous physical activity, using a triaxial accelerometer during the first 7 days after admission. Outcome measures are represented as the relative gain of the motor score on functional independence measure (M-FIM effectiveness) during the first month after admission. The multiple regression analysis, adjusting for age, sex, comorbidity, onset to admission intervals, motor paralysis, initial M-FIM, and cognitive FIM, showed that the duration of TPA in the first 7 days was significantly associated with the M-FIM effectiveness over the first month in both low GNRI [ B  = 0.12, 95% confidential intervals (CI) = 0.01; 0.24, P  = 0.049] and high GNRI group ( B  = 0.11, 95% CI = 0.01; 0.21, P  = 0.027). This study demonstrates a positive predictive association between early TPA level and functional recovery in stroke patients, irrespective of their nutritional status.

Lower Geriatric Nutritional Risk Index and Prognostic Nutritional Index Predict Postoperative Prognosis in Patients with Hepatocellular Carcinoma.

Increasing evidence suggests that nutritional indices, including the geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI), are predictors of poor prognosis in patients with hepatocellular carcinoma (HCC). Hence, this study aimed to explore the value of the GNRI and PNI in evaluating postoperative prognosis in patients with HCC, particularly regarding its recurrence patterns. We performed a retrospective analysis of 203 patients with HCC who underwent initial hepatic resection. Patients were divided into two groups according to the GNRI (cutoff: 98) and PNI (cutoff: 45). The GNRI and PNI were significantly associated with body composition (body mass index and skeletal muscle mass index), hepatic function (Child-Pugh Score), tumor factors (tumor size and microvascular invasion), and perioperative factors (blood loss and postoperative hospitalization). Patients with a low PNI or low GNRI had significantly worse overall survival (OS) and recurrence-free survival. Patients with early recurrence had lower PNI and GNRI scores than those without early recurrence. Patients with extrahepatic recurrence had lower PNI and GNRI scores than those without extrahepatic recurrence. The PNI and GNRI might be useful in predicting the prognosis and recurrence patterns of patients with HCC after hepatic resection.

Comparative analysis of four nutritional scores in predicting adverse outcomes in biopsy-confirmed diabetic kidney Disease.

Malnutrition is associated with adverse outcomes in patients with diabetic kidney disease (DKD). However, it is uncertain which nutritional assessment tools are most effective in predicting the adverse outcomes of DKD. This retrospective study was conducted at a single center and included 367 patients diagnosed with DKD based on biopsy results between August 2009 and December 2018. Four nutritional assessment indices, namely the Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI), and Controlling Nutritional Status (CONUT) score, were selected and calculated. We aimed to assess the association between these nutritional scores and adverse outcomes, including progression to end-stage kidney disease (ESKD), cardiovascular diseases events (CVD), and all-cause mortality. Univariate and multivariate Cox regression analyses, Kaplan-Meier analysis, along with Restricted cubic spline analysis were used to examine the relationship between nutritional scores and adverse outcomes. Furthermore, the area under the curve (AUC) was calculated using time-dependent receiver operating characteristics to determine the predictive value of the four nutritional scores alone and some combinations. Lastly, ordered logistic regression analysis was conducted to explore the correlation between the four nutritional scores and different renal histologic changes. The incidence of ESKD, CVD, and all-cause mortality was significantly higher in patients with DKD who had a lower PNI, lower GNRI, and higher CONUT score. Additionally, The TCBI performed the worst in terms of grading and risk assessment. The PNI offer the highest predictive value for adverse outcomes and a stronger correlation with renal histologic changes compared to other nutritional scores. Patients diagnosed with DKD who have a worse nutritional status are more likely to experience higher rates of adverse outcomes. The PNI might offer more valuable predictive values and a stronger correlation with different renal histologic changes compared to other nutritional scores.

Associations between Geriatric Nutrition Risk Index, bone mineral density and body composition in type 2 diabetes patients.

Type 2 diabetes mellitus (T2DM), a fast-growing issue in public health, is one of the most common chronic metabolic disorders in older individuals. Osteoporosis and sarcopenia are highly prevalent in T2DM patients and may result in fractures and disabilities. In people with T2DM, the association between nutrition, sarcopenia, and osteoporosis has rarely been explored. To evaluate the connections among nutrition, bone mineral density (BMD) and body composition in patients with T2DM. We enrolled 689 patients with T2DM for this cross-sectional study. All patients underwent dual energy X-ray absorptiometry (DXA) examination and were categorized according to baseline Geriatric Nutritional Risk Index (GNRI) values calculated from serum albumin levels and body weight. The GNRI was used to evaluate nutritional status, and DXA was used to investigate BMD and body composition. Multivariate forward linear regression analysis was used to identify the factors associated with BMD and skeletal muscle mass index. Of the total patients, 394 were men and 295 were women. Compared with patients in tertile 1, those in tertile 3 who had a high GNRI tended to be younger and had lower HbA1c, higher BMD at all bone sites, and higher appendicular skeletal muscle index (ASMI). These important trends persisted even when the patients were divided into younger and older subgroups. The GNRI was positively related to ASMI (men: r = 0.644, P < 0.001; women: r = 0.649, P < 0.001), total body fat (men: r = 0.453, P < 0.001; women: r = 0.557, P < 0.001), BMD at all bone sites, lumbar spine (L1-L4) BMD (men: r = 0.110, P = 0.029; women: r = 0.256, P < 0.001), FN-BMD (men: r = 0.293, P < 0.001; women: r = 0.273, P < 0.001), and hip BMD (men: r = 0.358, P < 0.001; women: r = 0.377, P < 0.001). After adjustment for other clinical parameters, the GNRI was still significantly associated with BMD at the lumbar spine and femoral neck. Additionally, a low lean mass index and higher β-collagen special sequence were associated with low BMD at all bone sites. Age was negatively correlated with ASMI, whereas weight was positively correlated with ASMI. Poor nutrition, as indicated by a low GNRI, was associated with low levels of ASMI and BMD at all bone sites in T2DM patients. Using the GNRI to evaluate nutritional status and using DXA to investigate body composition in patients with T2DM is of value in assessing bone health and physical performance.

Low Geriatric Nutritional Risk Index Predicts Early Complications following Distal Radius Fracture Open Reduction Internal Fixation

Abstract Background While previous studies have investigated the association between the Geriatric Nutritional Risk Index (GNRI) and functional outcomes following distal radius fracture (DRF), no large-scale studies have investigated the associations between GNRI and postoperative outcomes following DRFs. Objectives The purpose of this study is to investigate the association between GNRI, a simple multifaceted measure of malnutrition risk, and 30-day postoperative complications following DRF open reduction internal fixation (ORIF). Materials and Methods The American College of Surgeons National Surgical Quality Improvement Program database was queried for patients who underwent DRF ORIF from 2015 to 2021. Patients were organized into three groups based on preoperative GNRI: normal/reference (GNRI &gt; 98), moderate malnutrition (92 ≤ GNRI ≤ 98), and severe malnutrition (GNRI &lt; 92). Logistic regression analysis was conducted to investigate the relationship between preoperative GNRI and postoperative complications. Results Severe malnutrition was independently associated with a greater likelihood of any complication (odds ratio [OR]: 3.22, 95% confidence interval [CI]: 2.48–4.17; p &lt; 0.001), sepsis (OR: 15.41, 95% CI: 1.66–143.32; p = 0.016), cardiac arrest or myocardial infarction (OR: 20.58, 95% CI: 1.62–261.26; p = 0.020), pulmonary embolism (OR: 9.40, 95% CI: 1.76–50.11; p = 0.009), surgical site infection (OR: 7.73, 95% CI: 1.99–30.02; p = 0.003), nonhome discharge (OR: 2.55, 95% CI: 1.87–3.49; p &lt; 0.001), readmission (OR: 2.47, 95% CI: 1.47–4.14; p &lt; 0.001), and length of stay &gt; 2 days (OR: 3.51, 95% CI: 2.67–4.62; p &lt; 0.001). Conclusions Malnutrition is an independent significant predictor of early complications following DRF ORIF. Level of Evidence Level III; retrospective cohort comparison; prognosis study.

Geriatric nutritional risk index as a possible predictor of decline in kidney function in older people.

The Geriatric Nutritional Risk Index (GNRI) is associated with morbidity and mortality in older individuals. Our study explored the relationship between GNRI, decline in kidney function, and all-cause mortality in older individuals. This retrospective cohort study analyzed data from participants aged ≥60 years who underwent a general health checkup between 2002 and 2018. The primary exposure was the GNRI, divided into quartiles. The primary and secondary outcomes were a decline in kidney function assessed using the five-year estimated glomerular filtration rate (eGFR) and all-cause mortality, respectively. The analysis included a total of 1,599 participants (median [interquartile range] age, 63 (61-67) years; 54% males). The mean ± standard deviation (SD) of GNRI was 114 ± 7. Compared with the highest GNRI quartile, the lower GNRI quartiles were associated with steeper five-year slopes in eGFR, with a fully adjusted beta coefficient and 95% confidence intervals (CIs) of -0.50 (-0.86. -0.14), -0.29 (-0.63. 0.05), and -0.19 (-0.53. 0.14) for the first, second, and third GNRI quartiles, respectively. The median follow-up duration was 7.4 (4.6-12.4) years. During this period, we identified 108 deaths (7.8 per 1000 person-years). The first GNRI quartile was associated with all-cause mortality compared to the highest GNRI quartile (hazard ratio and 95%CI 2.20 [1.23, 3.95]). Nutritional status, as evaluated using the GNRI, was associated with five-year changes in kidney function and all-cause mortality in older individuals.

Geriatric Nutritional Risk Index and First-Year Mortality in Incident Hemodialysis Patients.

The Geriatric Nutritional Risk Index is a simple nutritional screening method, and this study aimed to investigate the association between the initial Geriatric Nutritional Risk Index and all-cause mortality in incident patients in the first year after the initiation of hemodialysis. This study is a retrospective cohort study and used the Korean Renal Data System database. Patients who were eligible for Geriatric Nutritional Risk Index assessment and underwent hemodialysis from January 2016 to December 2019 were included. The primary outcome was all-cause mortality, and outcome evaluation was performed in December 2020. A Cox proportional hazard model was used to analyze the association between the Geriatric Nutritional Risk Index and mortality. A total of 10,545 patients were included, and the mean age was 63.9 ± 3.7 years. The patients were divided into four groups by the quartile of the Geriatric Nutritional Risk Index with a mean value of 96.2 ± 8.2. During the study period, 545 (5.2%) deaths occurred. The surviving patients had higher Geriatric Nutritional Risk Index values than ones who died in the first year of hemodialysis initiation (96.6 ± 7.5 vs. 88.2 ± 9.3, p < 0.001). Quartile 1 (Geriatric Nutritional Risk Index < 91.8) showed a significantly increased risk of all-cause (Hazard Ratio: 2.56; 95% Confidence Interval: 2.13-3.09; p < 0.001) and cardiovascular mortality (Hazard Ratio: 22.29; 95% Confidence Interval: 1.71- 3.08; p < 0.001) at the first year in comparison with Quartile 4 (Geriatric Nutritional Risk Index ≥ 101.3). In areas under the receiver-operating characteristic curves of all-cause mortality, the Geriatric Nutritional Risk Index model improved predictive values, compared to the baseline model. The area with the Geriatric Nutritional Risk Index model was significantly higher than the one with a model including albumin or body mass index (p < 0.001). These findings suggest that a low Geriatric Nutritional Risk Index (<91.8) is associated with first-year all-cause and cardiovascular mortality in patients who start hemodialysis and may be a useful and reproducible tool for assessing prognoses in this population.

The Validity of Quadriceps Muscle Thickness as a Nutritional Risk Indicator in Patients with Stroke.

This study aimed to investigate whether quadriceps muscle thickness (QMT) is useful for nutritional assessment in patients with stroke. This was a retrospective cohort study. Nutritional risk was assessed using the Geriatric Nutritional Risk Index (GNRI), with GNRI < 92 indicating a risk of malnutrition and GNRI ≥ 92 indicating normal conditions. Muscle mass was assessed using QMT and calf circumference (CC). The outcome was Functional Independence Measure (FIM) effectiveness. The cutoff values of QMT and CC for discriminating between high and low GNRI were determined using the receiver operating characteristic curve. The accuracy of the nutritional risk discrimination model was evaluated using the Matthews correlation coefficient (MCC). Multiple regression analysis was performed to assess the relationship between nutritional risk, as defined by QMT and CC, and FIM effectiveness. A total of 113 patients were included in the analysis. The cutoff values of QMT and CC for determining nutritional risk were 49.630 mm and 32.0 cm for men (MCC: 0.576; 0.553) and 41.185 mm and 31.0 cm for women (MCC: 0.611; 0.530). Multiple regression analysis showed that only nutritional risk defined by QMT was associated with FIM effectiveness. These findings indicate that QMT is valid for assessing nutritional risk in patients with stroke.

Association between geriatric nutritional risk index and depression prevalence in the elderly population in NHANES

BackgroundThe prevalence of depression is increasing in the elderly population, and growing evidence suggests that malnutrition impacts mental health. Despites, research on the factors that predict depression is limited.MethodsWe included 2946 elderly individuals from National Health and Nutrition Examination Survey (NHANES) spanning the years 2011 through 2014. Depressive symptoms were assessed using the PHQ-9 scale. Multinomial logistic regression was performed to evaluate the independent association between Geriatric Nutritional Risk Index (GNRI) and depression prevalence and scores. Subgroup analysis was conducted to explore potential factors influencing the negative correlation between GNRI and depression. Restricted cubic spline graph was employed to examine the presence of a non-linear relationship between GNRI and depression.ResultsThe depression group had a significantly lower GNRI than the non-depression group, and multivariate logistic regression showed that GNRI was a significant predictor of depression (P < 0.001). Subgroup analysis revealed that certain demographic characteristics were associated with a lower incidence of depression in individuals affected by GNRIs. These characteristics included being female (P < 0.0001), non-Hispanic black (P = 0.0003), having a moderate BMI (P = 0.0005), having a college or associates (AA) degree (P = 0.0003), being married (P = 0.0001), having a PIR between 1.50 and 3.49 (P = 0.0002), being a former smoker (P = 0.0002), and having no history of cardiovascular disease (P < 0.0001), hypertension (P < 0.0001), and diabetes (P = 0.0027). Additionally, a non-linear negative correlation (non-linear P < 0.01) was found between GNRI and depression prevalence, with a threshold identified at GNRI = 104.17814.ConclusionThe GNRI demonstrates efficacy as a reliable indicator for forecasting depression in the elderly population. It exhibits a negative nonlinear correlation with the prevalence of depression among geriatric individuals.

Preoperative geriatric nutritional risk index is useful factor for predicting postoperative delirium among elderly patients with degenerative lumbar diseases.

It is the first study to evaluate the predictive value of the geriatric nutritional risk index (GNRI) on postoperative delirium (POD) after transforaminal lumber interbody fusion (TLIF) in elderly patients with degenerative lumbar diseases. A retrospective study was conducted to assess the outcomes of TLIF surgery in elderly patients with lumbar degenerative disease between the years 2016 and 2022. Delirium was diagnosed by reviewing postoperative medical records during hospitalization, utilizing the Confusion Assessment Method. The geriatric nutritional risk index was calculated using the baseline serum albumin level and body weight. Multivariate logistic regression analysis was employed to identify the association between preoperative GNRI and postoperative delirium (POD). Additionally, a receiver operating characteristic curve was utilized to determine the optimal GNRI cutoff for predicting POD. POD was observed in 50 of the 324 patients. The GNRI was visibly reduced in the delirium group. The mean GNRI was 93.0 ± 9.1 in non-delirium group and 101.2 ± 8.2 in delirium group. On multivariate logistic regression, Risk of POD increases significantly with low GNRI and was an independent factor in predicting POD following TLIF (OR 0.714; 95% CI 0.540-0.944; p = 0.018). On receiver operating characteristic curve, the area under curve (AUC) for GNRI was 0.738 (95% CI 0.660-0.817). The cutoff value for GNRI according to the Youden index was 96.370 (sensitivity: 66.0%, specificity: 70.4%). Our study indicated that lower GNRI correlated significantly with POD after TLIF. Performing GNRI evaluation prior to TLIF may be an effective approach of predicting the risk for POD among elderly patients with degenerative lumbar diseases.

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

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. 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. 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. 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.

Prognostic value of Geriatric Nutritional Risk Index and systemic immune-inflammatory index in elderly patients with acute coronary syndromes

The objective of this study was to evaluate the predictive value of the Geriatric Nutritional Risk Index (GNRI) combined with the Systemic Immunoinflammatory Index (SII) for the risk of major adverse cardiovascular events (MACE) following percutaneous coronary intervention in elderly patients with acute coronary syndrome (ACS). We retrospectively reviewed the medical records of 1202 elderly patients with acute coronary syndromes divided into MACE and non-MACE groups according to whether they had a MACE. The sensitivity analysis utilized advanced machine learning algorithms to preliminarily identify the critical role of GNRI versus SII in predicting MACE risk. We conducted a detailed analysis using a restricted cubic spline approach to investigate the nonlinear relationship between GNRI, SII, and MACE risk further. We constructed a clinical prediction model based on three key factors: GNRI, SII, and Age. To validate the accuracy and usefulness of this model, we compared it to the widely used GRACE score using subject work and recall curves. Additionally, we compared the predictive value of models and GRACE scores in assessing the risk of MACE using the Integrated Discriminant Improvement Index (IDI) and the Net Reclassification Index (NRI). This study included 827 patients. The GNRI scores were lower in the MACE group than in the non-MACE group, while the SII scores were higher in the MACE group (P < 0.001). The multifactorial analysis revealed a low GNRI (OR = 2.863, 95% CI: 2.026–4.047, P = 0.001), High SII (OR = 3.102, 95% CI: 2.213–4.348, P = 0.001). The area under the curve (AUC) for the predictive model was 0.778 (95% CI: 0.744–0.813, P = 0.001), while the AUC for the GRACE score was 0.744 (95% CI: 0.708–0.779, P = 0.001). NRI was calculated to be 0.5569, with NRI + at 0.1860 and NRI- at 0.3708. The IDI was found to be 0.0571, with a P-value of less than 0.001. These results suggest that the newly developed prediction model is more suitable for use with the population in this study than the GRACE score. The model constructed using GNRI and SII demonstrated good standardization and clinical impact, as evidenced by the standard, DCA, and clinical impact curves. The study shows that combining GNRI and SII can be a simple, cost-effective, and valuable way to predict the risk of MACE within one year in elderly acute coronary syndromes.

Prognostic Value of the Geriatric Nutritional Risk Index in Previously Untreated Patients With Advanced NSCLC Treated With a Combination Therapy of Anti-PD-1/-PD-L1 Antibodies and Platinum-Based Chemotherapy: A Multicenter Retrospective Study.

Combination therapy of anti-programmed cell death 1 (PD-1)/programmed cell death ligand 1 (PD-L1) antibodies and platinum-based chemotherapy has been widely used as a first-line treatment for patients with unresectable advanced non-small cell lung cancer (NSCLC) in clinical settings; however, prognostic biomarkers associated with survival outcomes have not been sufficiently investigated. We enrolled 147 previously untreated patients with advanced NSCLC who were treated with a combination therapy of anti-PD-1/-PD-L1 antibodies and platinum-based chemotherapy at eight institutions in Nagano Prefecture between December 2018 and April 2023. We evaluated the prognostic value of the geriatric nutritional risk index (GNRI), a systemic inflammatory nutritional biomarker calculated from body weight and serum albumin level, for patients with NSCLC treated with a combination therapy of anti-PD-1/-PD-L1 antibodies and platinum-based chemotherapy. The cutoff value of the GNRI was set at 92. The high GNRI and low GNRI groups included 88 and 59 patients, respectively. The median follow-up period was 15.9 months. The overall survival (OS) in the high GNRI group was significantly longer than that in the low GNRI group (27.9 vs. 15.6 months, p = 0.015). Multivariate analysis revealed that a high GNRI was an independently favorable prognostic predictor for OS (hazard ratio, 1.73; 95% confidence interval, 1.06-2.86; p = 0.031). The present study demonstrates that the GNRI is a useful prognostic predictor in patients with NSCLC treated with a combination therapy of anti-PD-1/-PD-L1 antibodies and platinum-based chemotherapy in clinical settings.

Prognostic value of preoperative geriatric nutritional risk index in intrahepatic cholangiocarcinoma after hepatectomy: a single‑center retrospective cohort study.

Patients with malignant tumors are prone to develop nutritional disorders. The Geriatric Nutritional Risk Index (GNRI) is a new prognostic indicator for assessing the nutritional status. This study was performed to evaluate whether the preoperative GNRI can serve as a prognostic factor in patients with intrahepatic cholangiocarcinoma (ICC) undergoing curative surgery. This study included 123 consecutive patients with ICC who were treated with curative surgery. Kaplan-Meier analysis was performed to calculate the recurrence-free survival (RFS) and overall survival (OS), and Cox regression analysis was used to evaluate prognostic factors. Of the 123 patients, 82 were male and 41 were female. The median age of the patients was 70years, and the median follow-up period was 37.0months (interquartile range, 16.2-71.7months). The patients were classified by the median GNRI into a low GNRI group (GNRI < 105) and high GNRI group (GNRI ≥ 105). The patients in the low GNRI group had a significantly poorer prognosis in terms of RFS and OS than the patients in the high GNRI group (RFS, p = 0.0201; OS, p < 0.0001). Lymph node metastasis [hazard ratio (HR), 4.66; 95% confidence interval (CI), 2.46-8.85], postoperative complications (HR, 2.38; 95% CI, 1.32-4.31), and a low GNRI (HR, 2.53; 95% CI, 1.42-4.50) were independent poor prognostic factors for OS. The GNRI may be a useful prognostic indicator in patients with ICC undergoing curative hepatectomy.

Geriatric nutritional risk index as a prognostic factor in elderly patients with non-muscle-invasive bladder cancer: a propensity score-matched study.

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). 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. In the entire cohort, the 3year recurrence group had significantly lower GNRI compared to the 3year 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. Preoperative GNRI is a prognostic marker for disease recurrence and progression in elderly patients with primary NMIBC undergoing TURBT.

Geriatric Nutritional Risk Index Combined with Calf Circumference Can be a Good Predictor of Prognosis in Patients Undergoing Surgery for Gastric or Colorectal Cancer.

To explore the effect of combined hematological and physical measurement indicators on the prognosis of patients undergoing surgery for gastric or colorectal cancer and to screen for the best prognostic indicators. Gastric and colorectal cancer is a widespread health concern worldwide and one of the major contributors to cancer-related death. The hematological and physical measurement indicators have been shown to associate with the prognosis of patients undergoing surgery for gastric or colorectal cancer, respectively, but it is still unclear whether the combination of the two can reflect the prognosis more effectively. Thirteen hematological indicators and 5 physical measurement indicators were selected in this study, and the most promising ones were screened using LASSO regression. Then, the best prognostic indicators were selected by time-ROC curves. Survival curves were constructed using the Kaplan-Meier method, and the effects of hematological and physical measurement indicators on the prognosis of patients undergoing surgery for gastric or colorectal cancers were evaluated by Cox proportional risk regression analysis. In addition, the relationship between hematological and physical measurement indicators on secondary outcomes, including length of stay, hospitalization costs, intensive care unit (ICU) admission, and patients' subjective global assessment scores (PGSGA), was explored. After initial screening, among the hematological indicators, the geriatric nutritional risk index (GNRI) showed the highest mean area under the curve (AUC) values. Among body measures, calf circumference (CC) showed the highest mean AUC value. Further analyses showed that the combination of combined nutritional prognostic index (GNRI) and calf circumference (CC) (GNRI-CC) had the best performance in predicting the prognosis of patients undergoing surgery for gastric or colorectal cancers. Low GNRI, low CC, and low GNRI-low CC increased the risk of death by 44%, 48%, and 104%, respectively. Sensitivity analyses showed the same trend. In addition, low GNRI-low CC increased the risk of malnutrition by 17%. This study emphasizes that a combination of blood measures and body measures is essential to accurately assess the prognosis of patients undergoing surgery for gastric or colorectal cancers. The GNRI-CC is a good prognostic indicator and can also assess the risk of possible malnutrition.

Association of Pre-operative Geriatric Nutritional Risk Index With Complete Adjuvant Chemotherapy and Prognosis Post-pancreatectomy.

The Geriatric Nutritional Risk Index (GNRI) predicts prognosis in various cancers. This study examined the correlation between GNRI, complete adjuvant chemotherapy (AC), and prognosis in patients with resected pancreatic cancer. We retrospectively evaluated 123 patients with pancreatic cancer who underwent pancreatectomies at our institute between January 2010 and December 2020. Kaplan-Meier and Cox regression methods were used to assess survival. Factors associated with complete AC were identified using logistic regression analysis. Among the 123 patients with pancreatic cancer, 93 (75.6%) initiated AC, and 55 (44.7%) completed AC. In multivariate analysis, the pre-operative GNRI was an independent prognostic factor for overall survival (OS) [hazard ratio=1.63, 95% confidence interval (CI)=1.01-2.63; p=0.046]. Additionally, pre-operative GNRI was an independent predictor of complete AC (odds ratio=0.38, 95%CI=0.17-0.83; p=0.015). In the high (≥98) and low GNRI (<98) groups, patients who underwent complete AC had significantly longer OS than those who did not (p<0.001, respectively). However, the patients in the low GNRI group who underwent complete AC had no significant difference in OS compared to those in the high GNRI group who did not undergo complete AC (p=0.523). Pre-operative GNRI may predict complete AC and prognosis in resected pancreatic cancer.

Prognostic value of geriatric nutritional risk index and prognostic nutritional index in hepatocellular carcinoma

BackgroundThe geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI) are considered prognostic factors for several cancers. This study aimed to investigate the relationship between the GNRI and PNI for survival outcomes in patients with hepatocellular carcinoma (HCC). MethodsWe retrospectively analyzed 1666 patients with HCC who underwent hepatectomy. Restricted cubic spline regression was used to analyze the relationship between the GNRI and PNI for recurrence and mortality. Cox proportional hazards regression analysis was used to evaluate the risk factors associated with overall survival (OS) and recurrence-free survival (RFS). Interaction analysis was performed to investigate the comprehensive effects of the GNRI, PNI, and subgroup parameters on the prognosis of patients with HCC. ResultsThe risks of death and recurrence decreased rapidly and gradually stabilized as the GNRI and PNI scores increased. Patients with lower GNRI and PNI scores had significantly shorter OS and RFS rates than those with higher scores. Multivariate analysis showed that high GNRI [HR and 95%CI=0.77 (0.70–0.85), P<0.001] and PNI [HR and 95%CI=0.77 (0.70–0.86), P<0.001] scores were associated with decreased mortality risk. This trend was maintained by confounding variables in adjusted models despite partial interactions with clinical factors. The combined GNRI and PNI analysis showed that HCC patients with high GNRI and PNI had longer OS and RFS. ConclusionsThe GNRI and PNI showed good survival predictions in patients with HCC. Combining the GNRI with PNI may help predict the prognosis of patients (age>18 years) with HCC after hepatectomy.

Association of Geriatric Nutritional Risk Index With Adverse Event and Treatment Duration in Adjuvant Chemotherapy for Patients With Colorectal Cancer.

In recent years, the Geriatric Nutritional Risk Index (GNRI) has been reported as a predictor of prognosis in many patients with cancer. This study investigated the association of preoperative GNRI with the occurrence of adverse events and duration of treatment with capecitabine plus oxaliplatin (CAPOX), a postoperative adjuvant chemotherapy, in 59 patients with colorectal cancer from September 2019 to April 2022. A cut-off value of 100.9 was used to categorize patients into high and low GNRI groups. The incidence of grade ≥2 leukopenia (p=0.03), and all grades peripheral neuropathy (p=0.04) were significantly more frequent in the low GNRI group. Analysis of factors influencing treatment duration by univariate and multivariate Cox regression proportional hazards models showed a significant difference in GNRI (p=0.0097). GNRI, a nutritional indicator assessed before the start of treatment, influences the occurrence of adverse events and duration of treatment with CAPOX as adjuvant chemotherapy. To complete CAPOX therapy, preoperatively, it is important to assess the patients' nutritional status using the GNRI and to actively intervene in nutritional therapy.

Geriatric Nutritional Risk Index predicts bleeding event in patients with heart failure.

We aimed to elucidate the association between malnutrition and the occurrence of bleeding events in patients with heart failure. We evaluated the nutritional status of patients with heart failure [n=2044, median (inter-quartile range) age 69.0 (59.0-78.0) years, 1209 (59.1%) males] using the Geriatric Nutritional Risk Index (GNRI). The primary endpoint was a composite of bleeding events such as haemorrhagic stroke or gastrointestinal bleeding. According to the survival classification and regression tree analysis, the accurate cut-off point of GNRI for predicting the primary endpoint was 106.2. We divided the patients into two groups based on GNRI levels: high GNRI group (GNRI≥106.2, n=606, 29.6%) and low GNRI group (GNRI<106.2, n=1438, 70.4%). We compared the patients' characteristics and prognosis between the two groups. The low GNRI group was older [72.0 (63.0-79.0) vs. 63.0 (53.0-73.0) years, P<0.001] and had a lower prevalence of male sex (56.9% vs. 64.5%, P=0.001). There were no differences in the use of antiplatelet agents and anticoagulants between the two groups. Levels of B-type natriuretic peptide were higher [321.1 (123.3-667.4) vs. 111.6 (42.6-235.4) pg/mL, P<0.001] and levels of haemoglobin were lower [12.4 (10.8-13.7) vs. 14.2 (12.9-15.4) g/dL, P<0.001] in the low GNRI group. The Kaplan-Meier analysis demonstrated that bleeding event rates were higher in the low GNRI group (log-rank P<0.001). The multivariable Cox proportional hazard analysis revealed that low GNRI (hazard ratio 1.952, 95% confidence interval 1.002-3.805, P=0.049) was associated with bleeding events. Heart failure patients with poor nutritional status, determined by GNRI under 106.2, experienced high bleeding event rates. Comprehensive management is required to avoid bleeding event in those populations.