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The geriatric nutritional risk index (GNRI) and modified creatinine index (mCI) are surrogate markers of protein-energy wasting in patients receiving hemodialysis. We aimed to examine whether a combined evaluation of these indices improved mortality prediction in this population. We retrospectively investigated 263 hemodialysis patients divided into two groups, using 91.2 and 20.16 mg/kg/day as cut-off values of GNRI and mCI, respectively. The resultant four groups were reshuffled into four subgroups defined using combinations of cut-off values of both indices and were followed up. During the follow-up period (median: 3.1 years), 103 patients died (46/103, cardiovascular causes). Lower GNRI and lower mCI were independently associated with all-cause mortality (adjusted hazard ratio (aHR) 4.96, 95% confidence intervals (CI) 3.10–7.94, and aHR 1.92, 95% CI 1.22–3.02, respectively). The aHR value for the lower GNRI and lower mCI group vs. the higher GNRI and higher mCI group was 7.95 (95% CI 4.38–14.43). Further, the addition of GNRI and mCI to the baseline risk assessment model significantly improved the C-index of all-cause mortality (0.801 to 0.835, p = 0.025). The simultaneous evaluation of GNRI and mCI could be clinically useful to stratify the risk of mortality and to improve the predictability of mortality in patients on hemodialysis.

Malnutrition prevails among patients with heart failure (HF), increasing the likelihood of functional decline. We assessed the predictive value of the Hemoglobin-Geriatric Nutritional Risk Index (H-GNRI)—combining hemoglobin and the Geriatric Nutritional Risk Index (GNRI)—on prognosis in older patients with HF. We used the JMDC multicenter database to examine the potential associations between malnutrition risk and other outcome measures. The patients were categorized as low- (H-GNRI score = 2), intermediate- (H-GNRI score = 1), or high-risk (H-GNRI score = 0) based on their H-GNRI scores. The primary outcome measure was the Barthel Index (BI) gain; the secondary outcomes included the BI at discharge, the BI efficiency, length of hospital stay, in-hospital mortality, discharge to home or a nursing home, and hospitalization-associated disability. We analyzed 3532 patients, with 244 being low-risk, 952 being intermediate-risk, and 2336 being high-risk patients. The high-risk group of patients had significantly lower BI values at discharge, lower BI gains, reduced BI efficiency values, and prolonged hospital stays compared to those in the low-risk group. The high-risk patients also had higher in-hospital mortality rates, lower rates of discharge to home or a nursing home, and greater incidences of a hospitalization-associated disability in comparison to the low-risk group. The H-GNRI may serve as a valuable tool for determining prognoses for patients with HF.

This study aimed to investigate whether a combined estimation of the geriatric nutritional risk index (GNRI) and the modified creatinine index (mCI) provides synergistic information for mortality in patients treated by chronic hemodialysis. We analyzed 499 patients on hemodialysis for five years. We set each cut-off value as the high (≥92) and low (<92) GNRI groups and the high (≥21 mg/kg/day) and low (<21 mg/kg/day) mCI groups, and divided them into four subgroups: G1, high GNRI + high mCI; G2, high GNRI + low mCI; G3, low GNRI + high mCI; and G4, low GNRI + low mCI. The survival rate was evaluated and time-to-event analysis was performed. All-cause death occurred in 142 (28%) patients. Kaplan–Meier curves showed that G2 and G4 had a significantly worse outcome (p < 0.05) than G1 but not G3. Using the multivariable-adjusted model, only G4 was significantly associated with all-cause mortality compared with G1. Our study suggests that the synergistic effects of the GNRI and the mCI are helpful in predicting all-cause mortality. The combination of these indices may be superior to a single method to distinguish patients who are well or moderately ill from potentially severely ill.

Purpose This study aimed to investigate the associations of the Geriatric Nutritional Risk Index (GNRI) and the simplified Geriatric Nutritional Risk Index (sGNRI) with Chronic Obstructive Pulmonary Disease (COPD). Methods We assessed 161 patients with COPD and 947 healthy controls. The sGNRI was derived using the formula: serum albumin (g/dL) + 0.1 × body mass index (BMI, kg/m2). Primary outcomes included the BODE (body mass index, airflow obstruction, dyspnea, exercise capacity) index and hospital length of stay (LOS). The secondary outcome was the prevalence of COPD. Results Malnourished patients (GNRI <95.40 or sGNRI <5.89) exhibited lower BMI and albumin levels, as well as worse pulmonary function (all p < 0.05). GNRI (Odds Ratio [OR] = 0.945, 95% Confidence Interval [CI]: 0.903-0.989, p = 0.015) and sGNRI (OR = 0.413, 95% CI: 0.191-0.890, p = 0.024) were significantly associated with the severity of COPD in a multivariable-adjusted model. Subgroup analysis revealed stronger predictive performance of GNRI and sGNRI among males, non-hypertensive patients, and smokers (for sGNRI). Conclusions Compared with GNRI, sGNRI may serve as a more practical tool for identifying malnutrition-related risk among patients with COPD.

Postpancreatectomy hemorrhage (PPH) is the most lethal complication of pancreatoduodenectomy (PD). The main risk factor for PPH is the development of a postoperative pancreatic fistula (POPF). Recent evidence shows that the geriatric nutritional risk index (GNRI) may be predictive indicator for POPF. In this study, we aimed to evaluate whether GNRI is a reliable predictive marker for PPH following PD. The present study retrospectively evaluated 121 patients treated with PD at Ageo Central General Hospital in Japan between January 2015 and March 2020. We investigated the potential of age, gender, body mass index, serum albumin, American Society of Anesthesiologists classification (ASA), diabetes mellitus and smoking status, time taken for the operation, estimated blood loss, and postoperative complications (POPF, bile leak, and surgical site infections) to predict the risk of PPH following PD using univariate and multivariate analyses. Ten patients had developed PPH with an incidence of 8.3%. Among them, the patients were divided into bleeding group (n = 10) and non-bleeding group (n = 111). The bleeding group had significantly lower GNRI values than those in the non-bleeding group (p = 0.001). We determined that the cut-off value of GNRI was 92 accounting for a sensitivity 80.0%, specificity 82.9%, and likelihood ratio of 4.6 using receiver operating characteristic curve analysis. A GNRI of <92 was statistically associated with PPH in both univariate (p < 0.001) and multivariate analysis (p = 0.01). Therefore, we could identify that a GNRI < 92 was an independently potential predictor of PPH risk following PD. We should alert surgeons if patients have low level GNRI before PD.

The Mini Nutritional Assessment (MNA) is recommended for grading nutritional status in the elderly. A new index for predicting the risk of nutrition-related complications, the Geriatric Nutritional Risk Index (GNRI), was recently proposed but little is known about its possible use in the assessment of nutritional status. Thus, we aimed to investigate its ability to assess the nutritional status and predict the outcome when compared with the MNA. Anthropometry and biochemical parameters were determined in 241 institutionalised elderly (ninety-four males and 147 females; aged 80·1 (sd 8·3) years). Nutritional risk and nutritional state were graded by the GNRI and MNA, respectively. At 6 months outcomes were: death; infections; bedsores. According to the GNRI and MNA, the prevalence of high risk (GNRI <  92)/malnutrition (MNA <  17), moderate risk (GNRI 92–98)/malnutrition at-risk (MNA 17–23·5) and no risk (GNRI > 98)/good status (MNA > 24) were 20·7/12·8 %, 36·1/39 % and 43·2/48·2 %, respectively, with poor agreement in scoring the patient (Cohen's kappa test: κ = 0·29; 95 % CI 0·19, 0·39). GNRI categories showed a stronger association (OR) with overall outcomes than MNA classes, although no difference (P>0·05) was found between malnutrition (v. ‘good status’, OR 6·4; 95 % CI 2·1, 71·9) and high nutritional risk (v. ‘no risk’, OR 9·7; 95 % CI 3·0, 130). Multivariate logistic regression revealed the GNRI as an independent predictor of complications. In overall-outcome prediction, a good sensitivity was found only for GNRI <  98 (0·86 (95 % CI 0·67, 0·96)). The combination of a GNRI > 98 with an MNA > 24 seemed to exclude adverse outcomes. The GNRI showed poor agreement with the MNA in nutritional assessment, but appeared to better predict outcome. In home-care resident elderly, outcome prediction should be performed by combining the suggestions from both these tools.

Previous studies have reported a close relationship between nutritional and functional domains, but evidence in long-term care residents is still limited. We evaluated the relationship between nutritional risk and functional status and the association of these two domains with mortality in newly institutionalised elderly. In the present multi-centric prospective cohort study, involving 346 long-term care resident elderly, nutritional risk and functional status were determined upon admission by the Geriatric Nutritional Risk Index (GNRI) and the Barthel Index (BI), respectively. The prevalence of high (GNRI < 92) and low (GNRI 92–98) nutritional risk were 36·1 and 30·6 %, respectively. At multivariable linear regression, functional status was independently associated with age (P= 0·045), arm muscle area (P= 0·048), the number of co-morbidities (P= 0·027) and mainly with the GNRI (P< 0·001). During a median follow-up of 4·7 years (25th–75th percentile 3·7–6·2), 230 (66·5 %) subjects died. In the risk analysis, based on the variables collected at baseline, both high (hazard ratio (HR) 1·86, 95 % CI 1·32, 2·63; P< 0·001) and low nutritional risk (HR 1·52, 95 % CI 1·08, 2·14; P= 0·016) were associated with all-cause mortality. Participants at high nutritional risk (GNRI < 92) also showed an increased rate of cardiovascular mortality (HR 1·93, 95 % CI 1·28, 2·91; P< 0·001). No association with outcome was found for the BI. Upon admission, nutritional risk was an independent predictor of functional status and mortality in institutionalised elderly. Present data support the concept that the nutritional domain is more relevant than functional status to the outcome of newly institutionalised elderly.

BackgroundGeriatric Nutritional Risk Index (GNRI) is a promising tool for predicting nutrition-related complications. This meta-analysis sought to determine the prognostic utility of GNRI in elderly patients with heart failure.MethodsWe comprehensively searched the PubMed and Embase databases from their inception to July 2019. Original studies investigating the prognostic value of GNRI in patients with heart failure were included. Outcome of interests were all-cause mortality and major cardiovascular events. The prognostic value of GNRI was expressed as risk ratios (RR) with 95% confidence intervals (CI) for the lowest versus the highest GNRI category or continuous GNRI analysis.ResultsEleven articles (10 studies) involving 10,589 elderly heart failure patients were included. Meta-analysis indicated that heart failure patients with the lowest GNRI had an increased risk of all-cause mortality (RR 2.11; 95% CI 1.72–2.58) and major cardiovascular events (RR 2.00; 95% CI 1.24–3.22) after adjustment for confounding. In addition, each unit reduction in GNRI significantly increased 6% risk of all-cause mortality.ConclusionLower GNRI independently predicts all-cause mortality and major cardiovascular events in elderly patients with heart failure. Determination of nutritional status using GNRI may improve risk stratification in elderly patients with heart failure.

Aim The clinical significance of the geriatric nutritional risk index (GNRI) in locally advanced rectal cancer (LARC) patients undergoing preoperative chemoradiotherapy (CRT) followed by curative surgery has not been comprehensively evaluated. Methods This retrospective study enrolled 93 LARC patients diagnosed with clinical lymph node metastasis. The GNRI formula was as follows: 1.489 × albumin (g/l) + 41.7 × current weight/ideal weight. Patients were categorized as GNRI low (GNRI < 104.25) or high (GNRI > 104.25) according to the receiver operating characteristic (ROC) curve for survival analysis. The impact of GNRI status on the prognostic outcomes of curative surgery for LARC was examined. Results There were 55 (59.14%) and 38 (40.86%) patients in the GNRI high and low groups, respectively. Of the investigated demographic factors, age, pathological tumor invasion, and presence of recurrence were significantly associated with the GNRI value. In Kaplan–Meier analysis, overall survival (OS) and disease-free survival (DFS) were significantly shorter in the GNRI low group (OS: p  = 0.00020, DFS: p  = 0.0044, log-rank test). Multivariate analysis using a Cox proportional hazards model showed that a low GNRI was an independent risk factor for poor OS (hazard ratio (HR) = 3.22; 95% confidence interval (CI), 1.37–8.23; p  = 0.0068) and DFS (HR = 2.32; 95%CI = 1.15–4.79; p  = 0.018). Although use of adjuvant therapy has no impact on prognosis (OS: p  = 0.26, DFS: p  = 0.29), low GNRI showed shorter OS and DFS in patients with pathological lymph node metastasis [ypN(+)] (OS: p  = 0.033, DFS: p  = 0.032, log-rank test). Conclusions GNRI is a useful marker for LARC patients diagnosed with clinical lymph node metastasis and treated by preoperative CRT followed by curative surgery. GNRI is a useful tool to identify high risk of recurrence for improving the survival in LARC patients.

Diffuse large B cell lymphoma (DLBCL) is the most common type of aggressive non-Hodgkin lymphoma. Emerging evidence indicates that poor nutritional status determined with nutritional indices such as geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status score (CONUT) was associated with poor prognosis of DLBCL. We conducted this multicenter retrospective study to validate and compare prognostic values of the three indices in 615 newly diagnosed DLBCL patients. The overall survival (OS) in patients with poor nutritional status determined with each of these nutritional indices were significantly inferior compared with that in those without nutritional risks (5-year OS in patients with GNRI < 95.7 and GNRI ≥ 95.7 were 56.4% and 83.5%, P < 0.001; PNI < 42.4 and PNI ≥ 42.4 were 56.1% and 81.0%, P < 0.001; CONUT > 4 and CONUT ≤ 4 were 53.1% and 77.1%, P < 0.001). GNRI and CONUT were independent prognostic predictors for OS (GNRI < 95.7, hazard ratio [HR] 1.83, 95% confidence interval [CI] 1.22–2.74, P = 0.0032; CONUT > 4, HR 1.53, 95% CI 1.05–2.23, P = 0.028) after multivariate analyses. Nutritional status determined with GNRI affected OS more strongly in the patients with nongerminal center B cell–like (nonGCB) DLBCL compared with that in those with GCB-type DLBCL. In conclusion, baseline poor nutritional status determined based on GNRI or CONUT was an independent risk factor of newly diagnosed DLBCL, and GNRI was also useful as an independent prognostic factor for patients with nonGCB-type DLBCL.