Geriatric Nutritional Risk Index Score Research Articles

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.

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.

Combined Systemic Immune-inflammatory Index (SII) and Geriatric Nutritional Risk Index (GNRI) predict survival in elderly patients with hip fractures: a retrospective study

PurposeThe Systemic Immune-inflammatory Index (SII) and Geriatric Nutritional Risk Index (GNRI) have undergone comprehensive examination and validation in forecasting the outcomes of diverse medical conditions. Nevertheless, the correlation between the combined use of GNRI and SII metrics and hip fractures has yet to be elucidated. This study aimed to determine whether the amalgamation of SII and GNRI scores constitutes an independent prognostic factor for elderly patients with hip fractures.MethodsWe conducted a retrospective analysis of elderly patients admitted to our facility with hip fractures, encompassing both femoral neck and intertrochanteric fractures. Demographic information, experimental parameters, and postoperative complications were systematically recorded. The Geriatric Nutritional Risk Index (GNRI) and Systemic Immunoinflammatory Index (SII) were meticulously computed. Receiver operating characteristic (ROC) curves were generated, and optimal cutoff values for each parameter were determined. Subsequently, a multivariate Cox regression analysis was employed to assess the predictive utility of the SII–GNRI score in relation to 1-year postoperative mortality among elderly patients with hip fractures.ResultsIn a study involving 597 patients, 90 of whom experienced mortality within 1 year, it was observed that the SII-GNRI score in the group of patients who passed away was significantly higher compared to the group that survived. Following a multifactorial adjustment, it was established that a high SII–GNRI score served as an independent predictor of 1-year all-cause mortality in older patients with hip fractures. In addition to the SII–GNRI score, factors such as length of hospital stay, CCI > 2, and blood transfusion were also identified as independent risk factors for survival. Notably, the incidence of postoperative complications in patients with high SII–GNRI scores was significantly greater than in patients with low scores.ConclusionThe SII–GNRI score proves valuable in predicting the 1-year survival rate for elderly patients with hip fractures who have undergone surgery.

Prognostic significance of preoperative nutritional status for postoperative acute kidney injury in older patients undergoing major abdominal surgery: a retrospective cohort study.

The association between malnutrition and postoperative acute kidney injury (AKI) has not been well studied. In this study, the authors examined the association between preoperative nutritional status and postoperative AKI in older patients who underwent major abdominal surgery, as well as the predictive value of malnutrition for AKI. The authors retrospectively included patients aged 65 or older who underwent major elective abdominal surgery. The nutritional status of the patient was evaluated using three objective nutritional indices, such as the geriatric nutritional risk index (GNRI), the prognostic nutritional index (PNI), and the controlling nutritional status (CONUT). AKI was determined using the KDIGO criteria. The authors performed logistic regression analysis to investigate the association between preoperative nutritional status and postoperative AKI, as well as the predictive value of nutritional scores for postoperative AKI. A total of 2775 patients were included in the study, of which 707 (25.5%), 291 (10.5%), and 517 (18.6%) had moderate to severe malnutrition according to GNRI, PNI, and CONUT calculations. After surgery, 144 (5.2%) patients developed AKI, 86.1% at stage 1, 11.1% at stage 2, and 2.8% at stage 3 as determined by KDIGO criteria. After adjustment for traditional risk factors, worse nutritional scores were associated with a higher AKI risk. In addition to traditional risk factors, these nutritional indices improved the predictive ability of AKI prediction models, as demonstrated by significant improvements in integrated discrimination and net reclassification. Poor preoperative nutritional status, as assessed by GNRI, PNI, and CONUT scores, was associated with an increased risk of postoperative AKI. Incorporating these scores into AKI prediction models improved their performance. These findings emphasize the need for screening surgical patients for malnutrition risk. Further research is needed to determine whether preoperative malnutrition assessment and intervention can reduce postoperative AKI incidence.

Geriatric nutritional risk index and adverse medical outcomes among Egyptian patients admitted to a geriatric hospital: a prospective cohort study

BackgroundElderly are one of the most heterogeneous and vulnerable groups who have a higher risk of nutritional problems. Malnutrition is prevalent among hospitalized elderly but underdiagnosed and almost undistinguishable from the changes in the aging process. The Geriatric Nutritional Risk Index (GNRI) is a tool created to predict nutrition-related complications in hospitalized patients. This study aims to measure the prevalence of nutritional risk using the GNRI among hospitalized elderly Egyptian inpatients and to determine the association between the GNRI and selected adverse clinical outcomes.MethodsA hospital-based prospective cohort study was conducted among 334 elderly patients admitted to a tertiary specialized geriatric university hospital in Cairo, Egypt from August 2021 to June 2022. Within 48 hours after hospital admission, socio-demographic characteristics, blood biomarkers, anthropometric measurements, and nutritional risk assessment by the GNRI score were obtained. Patients were divided into three groups based on their GNRI: high, low, and no nutritional risk (GNRI<92, 92-98, and >98) respectively. Patients were followed up for the occurrence of adverse outcomes during hospital stay (bed sores, Healthcare-Associated Infections (HAIs), hospital Length of Stay (LOS), and hospital mortality) and three months after discharge (non-improvement medical status, appearance of new medical conditions, hospital readmission and 90-day mortality). Multivariable regression and survival analysis were conducted.ResultsThe prevalence of high-nutritional risk was 45.5% (95% CI, 40%–51%). Patients with high risk had significantly longer LOS than those with no risk. The high-nutritional risk was significantly associated with the development of bed sores (Adjusted Odds Ratio (AOR) 4.89; 95% CI, 1.37–17.45), HAIs (AOR: 3.18; 95% CI, 1.48–6.83), and hospital mortality (AOR: 4.41; 95% CI, 1.04–18.59). The overall survival rate was significantly lower among patients with high-nutritional risk compared to those with no risk.ConclusionGNRI is a simple and easily applicable objective nutritional screening tool with high prognostic value in this Egyptian sample of patients. The findings of this study signal the initiation of the application of this tool to all geriatric hospitals in Egypt.

Sex differences in the nutritional status and its association with long-term prognosis in patients with heart failure with reduced ejection fraction: a prospective cohort study.

Many studies show the association between malnutrition and poor prognosis in heart failure (HF) patients. Our research aimed to analyse sex differences in patients with HF with reduced ejection fraction (HFrEF), emphasizing nutritional status and the influence of selected parameters on the prognosis. We enrolled 276 consecutive patients diagnosed with HFrEF. Nutritional status was assessed using Mini Nutritional Assessment (MNA), geriatric nutritional risk index (GNRI), and body mass index (BMI). The mean follow-up period was 564.4 ± 346.3 days. The analysed group included 81.2% of men. The median age was 58, interquartile range (IQR) 49-64 years. Among all patients, almost 60% were classified as NYHA III or IV. Half of the participants were at risk of malnutrition, and 2.9% were malnourished. During follow-up, 72 (26.1%) patients died. The female sex was not associated with a higher occurrence of malnutrition (P = 0.99) or nutritional risk (P = 0.85), according to MNA. Coherently, GNRI scores did not differ significantly between the sexes (P = 0.29). In contrast, BMI was significantly higher in males (29.4 ± 5.3 vs. 25.9 ± 4.7; P < 0.001). Impaired nutritional status assessed with any method (MNA, GNRI, BMI) was not significantly associated with a worse prognosis. In multivariable analysis, NYHA class, lower estimated glomerular filtration rate, higher B-type natriuretic peptide (BNP), higher N-terminal fragment of proBNP, and higher uric acid were independent of sex and age predictors of all-cause mortality. There were no sex differences in the nutritional status in the HFrEF patients, apart from lower BMI in females. Impaired nutritional status was not associated with mortality in both men and women.

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.

Development and validation of a nomogram based on geriatric nutritional risk index for predicting prognosis and postoperative complications in surgical patients with upper urinary tract urothelial carcinoma.

This study aimed to evaluate the potential role of the Geriatric Nutritional Risk Index (GNRI) in predicting oncological outcomes and postoperative complications in UTUC patients undergoing radical nephroureterectomy (RNU) and to develop a nomogram incorporating GNRI to predict outcomes. A retrospective analysis was performed on 458 consecutive patients who underwent RNU in our center. According to nutritional scores, patients were divided into the following groups: low GNRI (GNRI ≤ 98) and high GNRI (GNRI > 98). Univariable and multivariable logistic regression were performed to investigate the role of GNRI in predicting the perioperative complications. The survival was compared with Kaplan - Meier curve, and test by log-rank tests. Risk factors associated with cancer-specific survival (CSS) and overall survival (OS) were evaluated using Cox proportional hazards regression model and were integrated into a nomogram for individualized risk prediction. The calibration and discrimination ability of the model were evaluated by concordance index (C-index) and risk group stratification. When compared with high GNRI, low GNRI had significantly lower survival (CSS, p < 0.001; OS, p < 0.001). Across all patients, multivariable analyses revealed that low GNRI was an independent prognostic factor (CSS, p = 0.007; OS, p = 0.005). Nomograms for 1-, 3-, and 5years of CSS and OS had good performance. Patients can be stratified into different groups based on the nomogram, with significant differences in OS and CSS. Further, GNRI was also found to be an independent risk factor for postoperative complications. The complication - prediction nomogram based on GNRI was also internally validated and showed good performance. The GNRI score is an independent predictor for the prognosis and postoperative complications of UTUC following RNU. This study presented a nomogram incorporating preoperative GNRI that might be used as a convenient tool to facilitate the preoperative individualized prediction of short- and long-term outcomes for patients with UTUC.

Prognostic Value of Four Preimplantation Malnutrition Estimation Tools in Predicting Heart Failure Hospitalization of the Older Diabetic Patients with Right Ventricular Pacing

ObjectivesThe prognostic value of preimplantation nutritional status is not yet known for older diabetic patients that received right ventricular pacing (RVP). The study aimed to investigate the clinical value of the four malnutrition screening tools for the prediction of heart failure hospitalization (HFH) in older diabetic patients that received RVP.DesignRetrospective observational cohort study.Setting and ParticipantsThis study was conducted between January 2017 and January 2018 at the Fuwai Hospital, Beijing, China, and included older (age ≥ 65 years) diabetic patients that received RVP for the first timeMeasurementsThe Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Naples Prognostic Score (NPS), and the Controlling Nutritional Status (CONUT) score were used to estimate the preimplantation nutritional status of the patients. Univariate and multivariate Cox proportional hazard regression analyses were performed to investigate the association between preimplantation malnutrition and HFH.ResultsOverall, 231 older diabetic patients receiving RVP were included. The median follow-up period after RVP was 53 months. HFH was reported for 19.9% of the included patients. Our results showed preimplantation malnutrition for 18.2%, 15.2%, 86.6% and 66.2% of the included patients based on the PNI, GNRI, NPS, and CONUT score, respectively. The cumulative rate of HFH during follow-up period was significantly higher for patients in the preimplantation malnutrition group based on the PNI (log-rank = 13.0, P = 0.001), GNRI (log-rank = 8.5, P = 0.01), and NPS (log-rank = 15.7, P < 0.001) compared to the normal nutrition group, but was not statistically significant for those in the preimplantation malnutrition group based on the CONUT score (log-rank = 2.7, P = 0.3). As continuous variables, all the nutritional indices showed significant correlation with HFH (all P < 0.05). However, multivariate analysis showed that only GNRI was independently associated with HFH (HR = 0.97, 95% CI: 0.937–0.997, P = 0.032). As categorical variables, PNI, GNRI, and NPS showed significant correlation with HFH. After adjustment of confounding factors, moderate-to-severe degree of malnutrition was an independent predictor of HFH based on the PNI (HR = 4.66, 95% CI: 1.03-21.00, P = 0.045) and GNRI (HR = 3.02, 95% CI: 1.02-9.00, P = 0.047).ConclusionPreimplantation malnutrition was highly prevalent in older diabetic patients that received RVP. The malnutrition prediction tools, PNI and GNRI, showed significant prognostic value in accurately predicting HFH in older diabetic patients with RVP.

Correlation between preoperative systemic immune inflammation index, nutritional risk index, and prognosis of radical resection of liver cancer.

Radical surgery is the most commonly used treatment for hepatocellular carcinoma (HCC). However, the surgical effect remains not ideal, and prognostic evaluation is insufficient. Furthermore, clinical intervention is rife with uncertainty and not conducive to prolonging patient survival. To explore correlations between the systemic immune inflammatory index (SII) and geriatric nutritional risk index (GNRI) and HCC operation prognosis. This retrospective study included and collected follow up data from 100 HCC. Kaplan-Meier survival curves were used to analyze the correlation between SII and GNRI scores and survival. SII and GNRI were calculated as follows: SII = neutrophil count × platelet count/lymphocyte count; GNRI = [1.489 × albumin (g/L) + 41.7 × actual weight/ideal weight]. We analyzed the predictive efficacy of the SII and GNRI in HCC patients using receiver operating characteristic (ROC) curves, and the relationships between the SII, GNRI, and survival rate using Kaplan-Meier survival curves. Cox regression analysis was utilized to analyze independent risk factors influencing prognosis. After 1 year of follow-up, 24 patients died and 76 survived. The area under the curve (AUC), sensitivity, specificity, and the optimal cutoff value of SII were 0.728 (95% confidence interval: 0.600-0.856), 79.2%, 63.2%, and 309.14, respectively. According to ROC curve analysis results for predicting postoperative death in HCC patients, the AUC of SII and GNRI combination was higher than that of SII or GNRI alone, and SII was higher than that of GNRI (P < 0.05). The proportion of advanced differentiated tumors, tumor maximum diameter (5-10 cm, > 10 cm), lymph node metastasis, and TNM stage III-IV in patients with SII > 309.14 was higher than that in patients with SII ≤ 309.14 (P < 0.05). The proportion of patients aged > 70 years was higher in patients with GNRI ≤ 98 than that in patients with GNRI > 98 (P < 0.05). The 1-year survival rate of the SII > 309.14 group (compared with the SII ≤ 309.14 group) and GNRI ≤ 98 group (compared with the GNRI > 98 group) was lower (P < 0.05). The prognosis after radical resection of HCC is related to the SII and GNRI and poor in high SII or low GNRI patients.

Geriatric nutritional risk index independently predicts delirium in older patients in intensive care units: A multicenter cohort study

BackgroundMalnutrition is associated with clinical outcomes in several diseases. However, the role of malnutrition in the risk of delirium in elderly patients in intensive care units (ICU) remains unclear. This study aimed to elucidate the association between the Geriatric Nutritional Risk Index (GNRI) and the risk of delirium in elderly patients in the ICU. MethodsElderly patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD) were included in this study, totaling 11,310 and 5,627, respectively. All subjects were stratified according to their GNRI score: those with no nutritional risk (GNRI > 98), mild nutritional risk (92 ≤ GNRI ≤ 98), moderate nutritional risk (82 ≤ GNRI ≤ 92), and severe nutritional risk (GNRI < 82). The primary outcome was delirium. ResultsThe GNRI in MIMIC-IV and eICU-CRD were 93.82 (84.88, 101.26) and 83.39 (75.95, 89.35), respectively. Compared to the cohort without nutritional risk, there was an increased risk of delirium in patients with mild nutritional risk (OR: 1.39, 95 % CI: 1.23–1.58), moderate nutritional risk (OR: 1.72, 95 % CI: 1.52–1.95), and severe nutritional risk (OR: 2.07, 95 % CI: 1.79–2.39). Inclusion of the GNRI score in the multivariate models improved the prediction of delirium. Similar results were found in the eICU-CRD database. ConclusionsNutritional assessment using the GNRI may be an independent predictor of the development of delirium in elderly patients in the ICU. The addition of the GNRI score to the delirium prediction model improves its predictive accuracy.

Geriatric nutritional risk index as a prognostic marker of first-line immune checkpoint inhibitor combination therapy in patients with renal cell carcinoma: a retrospective multi-center study

PurposeThis study aimed to investigate the effectiveness of the Geriatric Nutritional Risk Index (GNRI) in predicting the efficacy of first-line immune checkpoint inhibitor (ICI) combination therapy for metastatic or unresectable renal cell carcinoma (RCC) and associated patient prognosis.MethodsA retrospective study was conducted using data from 19 institutions. The GNRI was calculated using body mass index and serum albumin level, and patients were classified into two groups using the GNRI values, with 98 set as the cutoff point.ResultsIn all, 119 patients with clear cell RCC who received first-line drug therapy with ICIs were analyzed. Patients with GNRI ≥ 98 had significantly better overall survival (OS) (p = 0.008) and cancer-specific survival (CSS) (p = 0.001) rates than those with GNRI < 98; however, progression-free survival (PFS) did not differ significantly. Inverse probability of treatment weighting analysis showed that low GNRI scores were significantly associated with poor OS (p = 0.004) and CSS (p = 0.015). Multivariate analysis showed that the Karnofsky performance status (KPS) score was a better predictor of prognosis (OS; HR 5.17, p < 0.001, CSS; HR 4.82, p = 0.003) than GNRI (OS; HR 0.36, p = 0.066, CSS; HR 0.35, p = 0.072). In a subgroup analysis of patients with a good KPS and GNRI ≥ 98 vs < 98, the 2-year OS rates were 91.4% vs 66.9% (p = 0.068), 2-year CSS rates were 91.4% vs 70.1% (p = 0.073), and PFS rates were 39.7% vs 21.4 (p = 0.27), respectively.ConclusionThe prognostic efficiency of GNRI was inferior to that of the KPS score at the initiation of the first-line ICI combination therapy for clear cell RCC.

Long-term prognostic risk score for CLTI including nutritional state

Abstract Background Chronic limb-threatening ischemia (CLTI) is well known for its poor prognosis. Although nutritional state is reportedly related to outcome, few studies have considered a long-term prognostic score for CLTI that includes nutritional status. Methods The I-PAD registry was a prospective, multicenter, observational patient registry designed to provide up to 5 years of clinical follow-up data. A total of 366 patients having undergone 463 endovascular treatments for symptomatic lower extremity artery disease were enrolled, from which 125 patients with CLTI were analyzed. We searched for prognostic predictors including nutritional status for amputation-free survival (AFS) to develop a scoring system for long-term CLTI prognosis. Results Median patient age was 77 [68, 86] years and follow-up period was 1729 [797, 1954] days. Cox multivariate analysis revealed Geriatric Nutritional Risk Index score &amp;lt;92 points, &amp;gt;71 years of age, female, heart failure, and anemia (&amp;lt;13.0 g/dL in men and &amp;lt;12.0 g/dL in women) to be significant prognostic predictors for AFS (all p&amp;lt;0.05). We calculated the weighted risk score for each prognostic factor (0 to 11 points) and divided the cohort into the high score group (≥4 points) and low score group (≤3 points). The incidence of AFS at 5 years was significantly lower in the high score group (35.4% vs. 89.5%, p&amp;lt;0.001). The area under the receiver operating characteristic curve was 0.81 for 5-year AFS. Conclusion A higher prognostic score incorporating nutritional state may indicate a worse long-term prognosis in CLTI patients.

Association between geriatric nutritional risk index and 28 days mortality in elderly patients with sepsis: a retrospective cohort study.

There is a significant controversy surrounding the impact of the geriatric nutritional risk index (GNRI) on mortality among elderly septic patients. This retrospective cohort study aimed to investigate the association between GNRI at admission and 28 days mortality in elderly septic patients. We retrospectively analyzed data collected from the MIMIC IV database between 2009 and 2019, which included 2,834 septic patients aged 65 years and above. The exposure variable was the GNRI, determined according to albumin levels, height, and weight. The primary outcome was 28 days mortality. We employed multivariable Cox regression analyses and Kaplan-Meier survival curves to examine the association between GNRI and 28 days mortality. We used restricted cubic splines to determine if there was a non-linear relationship between 28 days mortality and GNRI in elderly patients with sepsis and to examine the presence of a threshold saturation effect. In addition, interaction tests were conducted to identify subgroups that exhibited significant differences. A total of 2,834 elderly patients with sepsis participated in the study. Following adjustment, multivariable Cox regression analyses demonstrated that the GNRI was related to 28 days mortality (HR = 0.97, p < 0.001, 95% CI: 0.97-0.98). An L-shaped connection between GNRI and 28 days mortality was discovered via restricted cubic spline analysis, with an inflection point of 98.1. On the left side of the inflection point, GNRI levels were significantly negatively linked with 28 days mortality (HR = 0.967, 95% CI: 0.959-0.974; p < 0.001), and on the right side, there was no significant correlation (HR = 1.043, 95% CI: 0.984-1.106; p = 0.1549). In this analysis of data from a large cohort of elderly septic patients, GNRI scores on admission were correlated with a 28 days risk of death from sepsis in the elderly suggesting that GNRI scores could serve as a valuable indicator for evaluating mortality rates among elderly septic patients in the intensive care unit (ICU).

Low geriatric nutritional risk index predicts poor prognosis in patients with cirrhosis: a retrospective study.

Malnutrition, which increases the risk of liver disease-related events and mortality, is a serious complication in cirrhosis. This study aimed to investigate whether the geriatric nutritional risk index (GNRI) could predict the long-term prognosis in patients with cirrhosis. We retrospectively evaluated 266 patients with cirrhosis and classified them into two groups based on baseline GNRI scores: risk (≤98, n = 104) and no-risk groups (>98, n = 162). The cumulative survival rates were compared between the two groups in patients with compensated and decompensated cirrhosis, respectively. Cox proportional hazards regression analysis was used to identify significant and independent factors associated with mortality. The median observation period was 54.9 (33.6-61.7) months and 65 (24.4%) liver disease-related deaths occurred during the follow-up period. The GNRI scores significantly and inversely correlated with Child-Pugh score (r = -0.579), model for end-stage liver disease score (r = -0.286), and Mac-2 binding protein glycosylation isomer (r = -0.494). Multivariate analysis identified low GNRI as a significant and independent factor associated with mortality [overall cohort: hazard ratio (HR), 0.926; p < 0.001; compensated cirrhosis: HR, 0.947; p = 0.003; decompensated cirrhosis: HR, 0.923; p < 0.001]. The risk group demonstrated significantly lower cumulative survival rates than the no-risk group in overall cohort, and patients with compensated and decompensated cirrhosis (p < 0.001, <0.001, and = 0.013, respectively). Low GNRI was associated with poor long-term prognosis in both patients with compensated and decompensated cirrhosis. Therefore, the GNRI is a simple and useful tool for predicting prognosis and modifying the nutritional status in patients with cirrhosis.

Nutritional Status and Risk of Sarcopenia among Hospitalized Older Adults Residing in a Rural Region in Turkey.

This study aimed to determine the prevalence of sarcopenia and its associated factors in community-dwelling older adults at risk of malnutrition based on the Mini Nutritional Assessment (MNA), Prognostic Nutritional Index (PNI), and Geriatric Nutritional Risk Index (GNRI). The study participants were 345 adults aged &gt;65 years who visited Geriatric Internal Medicine outpatient clinics. The study included people without acute illness for whom the risk of malnutrition could be assessed and appropriate measurements taken. At the baseline visit, participants' data and measurements were gathered. The primary data included sociodemographic details, anthropometric measurements, malnutrition screening tests, and functional assessments. The participants' mean age was 76.21±5.59 years, and 57.1% were men (n=97). The prevalence rate of sarcopenia was 45.5%. Compared to individuals without sarcopenia, those with it were older; had lower MNA, PNI, and GNRI scores; and had lower muscle mass, muscle strength, and lower leg circumferences (p&lt;0.001). After adjusting for potential confounding factors, we found that sarcopenia, advanced age, male sex, high risk of malnutrition, calf circumference, and a low PNI score were all significantly associated with a low GNRI score (p&lt;0.001). Sarcopenia was significantly associated with advanced age, male sex, and high risk of malnutrition. Patients' nutritional and functional status should always be assessed for therapeutic interventions and lifestyle changes.

The association between Geriatric Nutritional Risk Index and the risk of Invasive Candidiasis in critically ill older adults

BackgroundInvasive candidiasis is the most common hospital-acquired fungal infection in intensive care units (ICU). The Geriatric Nutritional Risk Index (GNRI) score was developed to evaluate the nutritional status of elderly adults. We aimed to assess the association between the GNRI score and the risk of invasive candidiasis in elderly patients admitted to ICU.MethodsHospitalization information of elderly patients with invasive candidiasis was collected retrospectively from Medical Information Mart for Intensive Care (MIMIC) IV and MIMIC-III Clinical Database CareVue subset from 2001 to 2019. The main outcome of this study was the diagnosis of invasive candidiasis in patients. We employed a multivariable Cox regression and propensity score matching to balance the influence of confounding factors on the outcome. Furthermore, we conducted sensitivity analyses by categorizing the GNRI into classes based on thresholds of 98, 92, and 81.ResultsA total of 6739 patients were included in the study, among whom 134 individuals (2%) were diagnosed with invasive candidiasis. The GNRI scores of patients with invasive candidiasis upon admission to the ICU were significantly lower, measuring 88.67 [79.26–98.27], compared to the control group with a score of 99.36 [87.98-110.45] (P < 0.001). The results of the multivariable Cox regression analysis demonstrated a strong association between higher GNRI scores and a decreased risk of invasive candidiasis infection (HR: 0.98, 95% CI: 0.97–0.99, P = 0.002). Consistently, similar results were obtained when analyzing the propensity score-matched cohort (HR: 0.99, 95% CI: 0.98-1, P = 0.028). Sensitivity analyses further confirmed a significantly increased risk of invasive candidiasis infection with lower GNRI scores. Specifically, the following associations were observed: GNRI ≤ 98 (HR: 1.83, 95% CI: 1.23–2.72, P = 0.003), GNRI ≤ 92 (HR: 1.68, 95% CI: 1.17–2.4, P = 0.005), 82 ≤ GNRI ≤ 92 (HR: 1.63, 95% CI: 1.01–2.64, P = 0.046), GNRI ≤ 81 (HR: 2.31, 95% CI: 1.44–3.69, P < 0.001).ConclusionsLower GNRI score was significantly associated with an increased risk of invasive candidiasis in elderly patients in ICU. Further research is needed to validate whether improving nutrition can prevent invasive candidiasis.

Prognostic values of geriatric nutrition risk index on elderly patients after spinal tuberculosis surgery.

Spinal tuberculosis (STB) is a significant public health concern, especially in elderly patients, due to its chronic and debilitating nature. Nutritional status is a critical factor affecting the prognosis of STB patients. The geriatric nutritional risk index (GNRI) has been established as a reliable predictor of adverse outcomes in various diseases, but its correlation with surgical outcomes in elderly STB patients has not been studied. The study aimed to assess the prognostic value of the GNRI in elderly patients with STB who underwent surgery. We conducted a retrospective analysis of medical records of elderly patients (65 years or older) diagnosed with active STB who underwent surgical treatment. Data collection included patient demographics, comorbidities, clinical history, laboratory testing, and surgical factors. GNRI was calculated using serum albumin levels and body weight. Postoperative complications were observed and recorded. The patients were followed up for at least 1 year, and their clinical cure status was assessed based on predefined criteria. A total of 91 patients were included in the study. We found that a GNRI value of <98.63 g/dL was a cutoff value for predicting unfavorable clinical prognosis in elderly STB patients undergoing surgery. Patients with a low GNRI had higher Charlson Comorbidity Index scores, were more likely to receive red blood cell transfusions, and had a higher prevalence of overall complications, particularly pneumonia. The unfavorable clinical prognosis group had lower GNRI scores compared to the favorable prognosis group. Multivariate analysis showed that lower GNRI independently predicted unfavorable clinical outcomes in elderly STB patients. The study concluded that the GNRI is a valuable biomarker for predicting prognosis in elderly STB patients undergoing surgical intervention. Patients with lower GNRI scores had worse outcomes and a higher incidence of complications.

Association between malnutrition and stroke-associated pneumonia in patients with ischemic stroke

BackgroundMalnutrition is associated with a high risk of mortality in adults with ischemic stroke (IS). This study aimed to investigate the relationship between malnutrition and the risk of stroke-associated pneumonia (SAP) as only a few studies examined the relationship between malnutrition and the risk of SAP in IS.MethodsPatients were included from emergency departments of five tertiary hospitals in the REtrospective Multicenter study for Ischemic Stroke Evaluation (REMISE) study from January 2020 to December 2020. Malnutrition was defined according to the Controlling Nutritional Status (CONUT), Geriatric Nutritional Risk Index (GNRI), and Prognostic Nutritional Index (PNI) systems. Multivariable logistic regression analysis was used to explore the association between malnutrition and risk of SAP.ResultsWe enrolled 915 patients with IS, 193 (14.75%), 495 (54.1%), and 148 (16.2%) of whom were malnourished according to the PNI, CONUT, and GNRI scores, respectively. SAP occurred in 294 (32.1%) patients. After adjusting for confounding influencing factors in the logistic regression analysis, malnutrition (moderate and severe risk vs. absent malnutrition) was independently associated with an increased risk of SAP based on the PNI (odds ratio [OR], 5.038; 95% confidence interval [CI] 2.435–10.421, P < 0.001), CONUT (OR, 6.941; 95% CI 3.034–15.878, P < 0.001), and GNRI (OR, 2.007; 95% CI 1.186–3.119, P = 0.005) scores. Furthermore, adding malnutrition assessment indices to the A2DS2 score significantly improved the ability to predict SAP by analysis of receiver operating characteristic curves and net reclassification improvement.ConclusionMalnutrition was notably prevalent in patients with IS and independently associated with an increased risk of SAP. Further studies are required to identify the effect of interventions on malnutrition to reduce the risk of SAP.