Malnutrition is Associated with an Increased Risk of Death in Hospitalized Patients with Active Pulmonary Tuberculosis: A Propensity Score Matched Retrospective Cohort Study

Background

This study aimed to investigate whether nutrition levels in patients with active pulmonary tuberculosis (TB) affect their risk of all-cause mortality during hospitalization and to further evaluate the predictive ability of Geriatric Nutritional Risk Index (GNRI) and Body Mass Index (BMI) for risk of all-cause mortality.

Methods

Patients from January 1, 2020 to December 31, 2021 were retrieved, and a total of 1847 were included. The primary outcome was all-cause mortality. Propensity score matching (PSM) was performed for risk adjustment, and receiver operating characteristic (ROC) curve analysis was performed to assess the predictive ability of GNRI and BMI for all-cause mortality.

Results

Malnourished TB patients were older, had more congestive heart failure, and had more chronic obstructive pulmonary disease or asthma. Under the nutrition level grouping defined by GNRI, the all-cause mortality in the malnourished group did not appear to reach a statistical difference compared with the nonmalnourished group (P = 0.078). When grouped by level of nutrition as defined by BMI, the all-cause mortality was higher in the malnourished group (P = 0.009), and multivariate logistic regression analysis revealed that malnutrition was an independent risk factor for all-cause mortality. After propensity score matching, the results showed that the all-cause mortality was higher in the malnutrition group, regardless of BMI or GNRI defined nutrition level grouping, compared with the control group (both P < 0.001). The ROC curve analysis revealed that the area under the curve (AUC) was 0.811 ([95% confidence interval (CI) 0.701–0.922], P < 0.001) for GNRI and 0.728 ([95% CI 0.588–0.869], P = 0.001) for BMI.

Conclusion

In the clinical treatment of patients with active TB, more attention should be paid to the management of nutritional risk. GNRI may be a highly effective and easy method for predicting short-term outcomes in patients with active pulmonary TB.

Usefulness of nutritional assessment using Geriatric Nutritional Risk Index as an independent predictor of 30-day mortality after hip fracture surgery

INTRODUCTION

The Geriatric Nutritional Risk Index (GNRI) is an objective nutritional status assessment tool used for predicting mortality risk in hospitalized patients. However, it is unclear whether GNRI reflects short-term mortality for hip fracture patients after surgery. We examined the usefulness of the nutritional status assessed by the GNRI and identified cutoff scores that predict mortality risk. Does GNRI on admission predict the mortality after surgery for hip fracture?

HYPOTHESIS

Evaluation of GNRI could help identify patients at higher risk of 30-day mortality after hip fracture surgery.

MATERIALS AND METHODS

This retrospective study used data from 1040 patients who underwent hip fracture surgery. Fatalities within 30 days after hip fracture surgery were investigated. The GNRI was calculated on admission in all patients as follows: 14.89×serum albumin (g/dL)+41.7×body mass index/22. Receiver operating characteristic (ROC) curves were used to calculate the area under the curve (AUC) and the optimal cutoff score that could predict 30-day mortality after hip fracture surgery. This cutoff score was used for comparing the mortality rates between patient groups with a GNRI higher and lower than the cutoff score using Fisher's exact test. Logistic regression analysis was used to determine risk factors of 30-day mortality.

RESULTS

There were 17 fatalities (1.6%) in the cohort. The ROC-AUC value was 0.811, and the cutoff GNRI was 75.4. Mortality was significantly higher in the group with a GNRI<75.4 compared with the group with a GNRI≥75.4 (odds ratio [OR], 22.99; 95% confidence interval [95% CI], 7.55-78.05; p=0.00000004). A GNRI<75.4 was a significant predictor of mortality within 30-days after hip fracture surgery (OR, 27.1; 95% CI, 8.57-85.9; p≤0.0001).

DISCUSSION

Our results show that nutritional status assessment using GNRI can help predict 30-day mortality among geriatric patients undergoing surgery for hip fracture. The GNRI is a simple and accurate tool for predicting the risk of mortality after hip fracture surgery.

LEVEL OF EVIDENCE

IV; case series study.

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

OBJECTIVES

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

SUBJECTS AND METHODS

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

RESULTS

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

CONCLUSIONS

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

Sarcopenia is associated with the Geriatric Nutritional Risk Index in elderly patients with poorly controlled type-2 diabetic mellitus

Aims/Introduction

Diabetes and sarcopenia have a two‐way relationship with each other with advanced age. Additionally, malnutrition is correlated with a higher risk of sarcopenia in elderly patients. This study evaluated the association between sarcopenia and geriatric nutritional risk index (GNRI) in elderly patients with type 2 diabetes mellitus.

Materials and Methods

Patients with type 2 diabetes mellitus aged ≥60 years were recruited from June 2018 to August 2020. This study analyzed 234 patients, who completed a physical performance test required for the diagnosis of sarcopenia. To investigate the effect of GNRI on sarcopenia, logistic regression analyses was used.

Results

Patients with sarcopenia were significantly older with a lower body mass index (BMI) and GNRI compared with normal patients. The GNRI showed a positive correlation with the skeletal muscle index (SMI) and handgrip strength (SMI: R = 0.486, P < 0.001 for male; R = 0.589, P < 0.001 for female, handgrip strength: R = 0.470, P < 0.001 for male, R = 0.364, P < 0.001 for female). In the multivariate logistic regression model, a higher GNRI was associated with a lower risk of sarcopenia in older men and women with diabetes (adjusted odds ratio [OR], 0.892; 95% confidence interval [CI], 0.839–0.948 for male; adjusted OR, 0.928; 95% CI, 0.876–0.982 for female). One year of diabetes treatment improved the GNRI in the sarcopenia group with type 2 diabetes mellitus.

Conclusions

A low GNRI was associated with an increased risk of sarcopenia in elderly patients with type 2 diabetes mellitus. Treatment with glucose‐lowering drugs improved the GNRI in the sarcopenia group.

The Geriatric Nutritional Risk Index Predicts Tolerability of Lenvatinib in Patients With Hepatocellular Carcinoma

BACKGROUND/AIM

We aimed to investigate the association between The Geriatric Nutritional Risk Index (GNRI) and the tolerability of lenvatinib in patients with hepatocellular carcinoma (HCC).

PATIENTS AND METHODS

We retrospectively evaluated 61 HCC patients treated with lenvatinib and compared those with low GNRI (≤98, n=26) to those with high GNRI (>98, n=35).

RESULTS

The discontinuation of lenvatinib due to adverse events was more frequent in the low GNRI group (46.2%) than in the high GNRI group (17.1%) (p=0.014). Multivariate analysis revealed that low GNRI (p=0.014), hypothyroidism (model 1 p=0.021, model 2 p=0.013), and advanced age (p=0.026) were independently associated with the discontinuation of lenvatinib. The progression-free survival in the low GNRI group was significantly shorter than that in the high GNRI group (p=0.047).

CONCLUSION

The GNRI might be independently associated with the tolerability of lenvatinib in patients with HCC.

The geriatric nutritional risk index mediated the relationship between serum uric acid and hypertension: a mediation analysis

Background

The elevated serum uric acid (SUA) is associated with an increased risk of hypertension and nutritional status. Malnutrition might modify the association of SUA with hypertension. Therefore, the aims of this study were to examine the mediation effect of malnutrition on the association of SUA with the risk of hypertension in Chinese population.

Methods

The study was based on the China Health and Nutrition Survey in 2009. Participants aged ≥ 60 years with complete analyzed data were eligible. The Geriatric Nutritional Risk Index (GNRI) was calculated by serum albumin (ALB) and BMI. Participants were identified as hypertension if systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg or receiving antihypertensive drug.

Results

There were 2371 participants included in the final analysis. In total, there was a significant mediation effect of the GNRI on the relationship between SUA level with hypertension (P < 0.001; OR: 1.096; and 95 % CI: 1.048–1.146). And the proportion mediated was 17.77 %. The results stratified by sex were consistent with those of total population. The significant mediation effects of the GNRI were found in the 60–69 years and 70–79 years groups (P = 0.002 and 0.032; OR: 1.099 and 1.075; and 95 % CI: 1.036–1.165 and 1.006–1.148, respectively) but not in the 80–99 years group (P = 0.303). The proportions mediated were16.22 % and 18.36 %, respectively.

Conclusions

The GNRI can mediate and account for approximately 17.77 % of the relationship between SUA level and the risk of hypertension. And this mediation effect was fully observed in both males and females, especially in the 60–79 years population.

Butyrylcholinesterase level as an independent prognostic factor for overall survival in patients on maintenance hemodialysis: a single-center retrospective study

BACKGROUND

We investigated whether butyrylcholinesterase (BChE) was independently related to the overall survival (OS) of patients on maintenance hemodialysis (MHD).

METHODS

Baseline information, serum BChE level, and other laboratory data were collected from 295 patients on MHD in a single HD hospital in 2018. We retrospectively investigated the mortality of these patients after 38 months. We assessed the prognostic markers such as the Geriatric Nutritional Risk Index (GNRI), Erythropoiesis Resistance Index (ERI), and Simplified Creatinine Index (SCI) of each patient. The primary objective was to examine the impact of BChE on OS. The secondary objective included the designation of a risk score in predicting the OS.

RESULTS

We evaluated 284 patients. The median value of the serum BChE level was 206 IU/L. Of 284 patients evaluated, eighty-six patients died; all had a higher ERI and a lower serum BChE level, SCI, and GNRI than the surviving patients. The optimal cutoff values of the BChE level, GNRI, ERI, and SCI for OS were 166 IU/L, 90.0, 8.00, and 20.6, respectively. The multivariate Cox regression analysis showed that the age, HD vintage, dialysis dose, GNRI of < 90.0, and serum BChE level of < 166 IU/L (hazard ratio, 2.03; P = 0.003) were the independent prognostic factors. We designed a risk score consisting of the GNRI and serum BChE level. The predictive value of our risk score was superior to that of GNRI alone.

CONCLUSION

The serum BChE level could be an independent prognostic factor for patients on MHD.

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

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

Impact of Preoperative Nutritional Status on the Outcome of Catheter Ablation for Atrial Fibrillation

BACKGROUND

The relationship between nutritional status and the incidence or prognosis of atrial fibrillation (AF) has been reported, but no studies have described the relationship between the outcomes of AF catheter ablation (CA) and nutritional status as assessed by various scoring tools. We aimed to verify the hypothesis that preoperative nutritional status is associated with arrhythmia recurrence after CA for AF.Methods and Results:We evaluated 913 patients (age, 67±10 years; men, 72%; paroxysmal AF, 56%) who underwent CA for AF between November 2011 and November 2017. Patients were systematically followed with an endpoint of atrial tachyarrhythmia recurrence, the predictive value of which was compared among 3 scoring tools (Controlling Nutritional Status [CONUT] score / Geriatric Nutritional Risk Index [GNRI] / Prognostic Nutritional Index [PNI]). Patients were divided into normal nutrition (CONUT <2 [n=637] / GNRI >98 [n=836] / PNI >38 [n=910]) and undernutrition (CONUT ≥2 [n=276] / GNRI ≤98 [n=77] / PNI ≤3 [n=3]) groups. AF recurred in 274 patients (mean follow-up, 2.3±0.8 years). The AF recurrence rate was higher in patients with undernutrition than in those with normal nutrition (CONUT/GNRI) status. Multivariate Cox regression analysis identified undernutrition status (GNRI ≤98) as an independent predictor of atrial tachyarrhythmia recurrence.

CONCLUSIONS

The AF recurrence rate after CA was higher in patients with undernutrition than in those with normal nutrition as stratified by the nutrition scoring tools.

Association Between Geriatric Nutritional Risk Index and Frailty in Older Hospitalized Patients

Objective

Previous studies have explored the association between malnutrition and frailty, but no study has investigated whether the Geriatric Nutritional Risk Index (GNRI), a simple and objective nutritional risk screening tool, is associated with the frailty of older adults. The study aimed to examine the relationship between nutrition-related risk, as assessed by the GNRI, and frailty among older hospitalized patients.

Methods

A cross-sectional study was conducted in the West China Hospital of Sichuan University with 740 patients aged ≥70 years between March 2016 and Jan 2017. Nutritional and frailty status was evaluated with the GNRI and FRAIL scale, respectively. The adjusted and unadjusted ordinal logistic regression analyses were used to examine the relationship between nutritional risk and frailty. The ability of GNRI in detecting frailty was assessed by receiver operating characteristic (ROC) curve analysis.

Results

The prevalence of low, moderate, and severe nutritional risk among frail patients were 30.1%, 27.6%, and 12.5%, respectively. Ordinal logistic regression analysis showed that malnutrition assessed by the GNRI had a significant association with frailty after adjustment of age, sex, polypharmacy, comorbidity, vision impairment, hearing impairment, cognitive impairment, and depression. In the ROC analysis, the area under the curve for GNRI identifying frailty was 0.698 (95% CI: 0.66-0.74; P<0.001), and the optimal cut-point value was 97.16 (sensitivity: 64.3%; specificity: 66.9%).

Conclusion

Nutrition-related risk screened by the GNRI was independently associated with frailty. The GNRI could be used as a simple tool in detecting nutritional risk and frailty status of older patients.

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

Background

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

Methods

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

Results

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

Conclusion

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

Frailty in patients undergoing transcatheter aortic valve replacement: prognostic value of the Geriatric Nutritional Risk Index

BACKGROUND

Malnutrition is a hallmark of frailty, is common among elderly patients, and is a predictor of poor outcomes in patients with severe symptomatic aortic stenosis (AS). The Geriatric Nutritional Risk Index (GNRI) is a simple and well-established screening tool to predict the risk of morbidity and mortality in elderly patients. In this study, we evaluated whether GNRI may be used in the risk stratification and management of patients undergoing transcatheter aortic valve replacement (TAVR).

METHODS

Patients with symptomatic severe AS (n = 953) who underwent transfemoral TAVR at the University Hospital Schleswig-Holstein Kiel, Germany, between 2010 and 2019 (development cohort) were divided into two groups: normal GNRI ≥ 98 (no nutrition-related risk; n = 618) versus low GNRI < 98 (at nutrition-related risk; n = 335). The results were validated in an independent (validation) cohort from another high-volume TAVR centre (n = 977).

RESULTS

The low-GNRI group had a higher proportion of female patients (59.1% vs. 52.1%), higher median age (82.9 vs. 81.8 years), prevalence of atrial fibrillation (50.4% vs. 40.0%), median logistic EuroSCORE (17.5% vs. 15.0%) and impaired left ventricular function (<35%: 10.7% vs. 6.8%), lower median estimated glomerular filtration rate (50 vs. 57 mL/min/1.73 m² ) and median albumin level (3.5 vs. 4.0 g/dL) compared with the normal-GNRI group. Among peri-procedural complications, Acute Kidney Injury Network (AKIN) Stage 3 was more common in the low-GNRI group (3.6% vs. 0.6%, p = 0.002). After a mean follow-up of 21.1 months, all-cause mortality was significantly increased in the low-GNRI group compared with the normal-GNRI group (p < 0.001). This was confirmed in the validation cohort (p < 0.001). Low GNRI < 98 was identified as an independent risk factor for all-cause mortality (hazard ratio 1.44, 95% CI 1.01-2.04, p = 0.043). Other independent risk factors included albumin level < median of 4.0 g/dL, high-sensitive troponin T in the highest quartile (> 45.0 pg/mL), N-terminal pro-B-type natriuretic peptide in the highest quartile (> 3595 pg/mL), grade III-IV tricuspid regurgitation, pulmonary arterial hypertension, life-threatening bleeding, AKIN Stage 3 and disabling stroke.

CONCLUSIONS

Low GNRI score was associated with an increased risk of all-cause mortality in patients undergoing TAVR, implying that this vulnerable group may benefit from improved preventive measures.

Relationship between Nutritional Scales and Prognosis in Elderly Patients after Acute Ischemic Stroke: Comparison of Controlling Nutritional Status Score and Geriatric Nutritional Risk Index

BACKGROUND/AIMS

Undernutrition is common in patients after acute ischemic stroke (AIS) and predicts poor clinical outcomes. We assessed the relationship between undernutrition and prognosis after AIS.

METHODS

We retrospectively assessed consecutively hospitalized AIS patients aged ≥65 years. A poor prognosis for patients after AIS was defined as a modified Rankin Scale (mRS) score of ≥3 at discharge. Nutritional status was evaluated based on the degree and risk of undernutrition as determined by the Controlling Nutritional Status (UND-CONUT) and Geriatric Nutritional Risk Index (UNR-GNRI) scores.

RESULTS

Among 218 patients (male, 62.8%; median age, 77 years), 81 had a poor prognosis. A significant correlation was found between UND-CONUT and UNR-GNRI scores (p < 0.001, r = 0.433). Patients with a poor prognosis showed significant undernutrition based on UND-CONUT (p = 0.003) but not on UNR-GNRI (p = 0.218). Patients with undernutrition based on UND-CONUT showed poor outcomes: higher mRS scores at discharge, higher percentages of mRS scores of ≥2 and ≥3, and more complications associated with pneumonia. No significant differences were seen between cases with and without undernutrition risk based on UNR-GNRI.

CONCLUSION

UND-CONUT appeared to be more useful than UNR-GNRI for predicting the prognosis of elderly patients with AIS at discharge.

Association of the Geriatric Nutritional Risk Index with incident hypertension in the older Chinese population: a 6-year cohort study

Background

We examined the association of the Geriatric Nutritional Risk Index (GNRI) with the incidence of hypertension.

Methods

We used data of the China Health and Nutrition Survey in this study. Participants aged ≥60 years were eligible. The GNRI was defined as follows: GNRI = [1.489 × albumin (ALB; g/L)] + [41.7 × (actual weight/ideal weight)]. Participants with systolic blood pressure ≥140 mmHg, diastolic blood pressure ≥90 mmHg, or use of antihypertensive medication were defined as having hypertension.

Results

This study included 4853 participants, comprising 3612 control participants and 1241 participants with hypertension. The GNRI, ALB, and body mass index (BMI) were significantly associated with higher incidence of hypertension (HR: 1.030, 1.026, and 1.088; 95% CI: 1.020–1.041, 1.008–1.044, and 1.069–1.107, respectively). The GNRI, ALB, and BMI were associated with an earlier age of hypertension onset (β = −0.403, −0.613, and −0.321; 95% CI: −0.493 to −0.314, −0.767 to −0.459, and −0.484 to −0.159, respectively).

Conclusions

A higher GNRI was associated with increased incidence of hypertension. An elevated GNRI was associated with earlier age of hypertension onset.

Geriatric Nutritional Risk Index Predicts Poor Prognosis of Patients After Curative Surgery for Gastric Cancer

BACKGROUND

The Geriatric Nutritional Risk Index (GNRI) is a nutritional measure for predicting the risk of morbidity and mortality in hospitalized patients. We evaluated the utility of the GNRI to predict the short-term and long-term outcomes after curative surgery for gastric cancer (GC).

PATIENTS AND METHODS

Patients who underwent curative surgery for GC between 2008 and 2016 were reviewed (n=795). We classified patients into two groups according to the GNRI (high GNRI: low and no risk; low GNRI: major and moderate risk) and compared the utility of the GNRI.

RESULTS

A low GNRI was an independent prognostic factor for poorer overall survival (hazard ratio=2.34, p<0.001). The GNRI tended to be a better prognostic indicator in elderly patients with GC. Low GNRI was associated with postoperative complications (odds ratio=2.27, p=0.002), especially in patients aged ≥75 (odds ratio=2.26, p=0.042).

CONCLUSION

Low GNRI was associated with poor prognosis and occurrence of postoperative complications in patients with GC, especially in elderly patients.

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

Purpose

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

Patients and Methods

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

Results

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

Conclusion

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

Application of four nutritional risk indexes in perioperative management for esophageal cancer patients

Purpose

The Prognostic Nutritional Index (PNI), Nutritional Risk Index (NRI), Geriatric Nutritional Risk Index (GNRI), and Controlling Nutritional Status (CONUT) score were devised for quantifying nutritional risk. This study evaluated their properties in detecting compromised nutrition and guiding perioperative management of esophageal cancer patients.

Methods

A prospective institutional database of esophageal cancer patients was reviewed and analyzed. Compromised nutritional status was defined as PNI < 50, NRI < 97.5, GNRI < 92, or CONUT score ≥ 4, respectively. The malnutrition diagnosis consensus established by the European Society of Clinical Nutrition and Metabolism (ESPEN 2015) was selected as reference. Multivariable logistic regression and receiver operating characteristic curve analysis were used. External validation was conducted.

Results

After reviewing the 212-patient database, 192 patients were finally included. Among the four nutritional indexes, the GNRI < 92 showed highest sensitivity (72.0%), specificity (78.9%), and consistency (AUC 0.754, 95% CI 0.672–0.836) with malnutrition diagnosed by ESPEN 2015. The GNRI < 92 showed comparable performance with ESPEN 2015 in recognizing decreased fat mass, fat-free mass, and skeletal muscle mass (all P < 0.01). Both the GNRI < 92 and ESPEN 2015 showed good property in predicting major complications, infectious complications, overall complications and delayed hospital discharge (all P < 0.01), better than PNI < 50, NRI < 97.5, and CONUT score ≥ 4. Regarding the external validation, a retrospective analysis of 155 esophageal cancer patients confirmed the better performance of GNRI < 92 in predicting perioperative morbidities than other 3 nutritional indexes.

Conclusion

The GNRI was optimal in perioperative management of esophageal cancer patients among the four nutritional indexes and was an appropriate alternative to ESPEN 2015 for simplifying nutritional assessment.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00432-021-03585-8.

The long-term prognostic factors in hemodialysis patients with acute coronary syndrome: perspectives from sarcopenia and malnutrition

Hemodialysis (HD) patients tend to have sarcopenia and malnutrition, and both conditions are related to poor prognosis in the cardiovascular disease that often accompanies HD. However, the impact of sarcopenia or malnutrition on the long-term prognosis of HD patients undergoing percutaneous coronary intervention (PCI) for acute coronary syndrome (ACS) remains unclear. We analyzed 1,605 consecutive patients with ACS who had undergone PCI at a single center between January 2009 and December 2014. We evaluated all-cause mortality and prognosis-associated factors, including sarcopenia/malnutrition-related factors such as the Geriatric Nutritional Risk Index (GNRI), and Skeletal Muscle Mass Index (SMI). After exclusions, 1461 patients were enrolled, and 58 (4.0%) were on HD. The HD group had lower levels of SMI and GNRI than non-HD group, and had worse in-hospital prognosis. Moreover, HD group had a significant higher mortality in the long-term follow-up [median follow-up period: 1219 days; Hazard Ratio (HR) = 4.09, p < 0.001]. After adjusting the covariates, SMI and GNRI were the factors associated with all-cause mortality in all patients [SMI: adjusted HR (aHR) = 2.39, p = 0.036; GNRI: aHR = 2.21, p = 0.006]; however, these findings were not observed among HD patients with ACS, and only diabetes was significantly associated with all-cause mortality (diabetes: aHR = 3.50, p = 0.031). HD patients with ACS had a significantly higher rate of in-hospital and long-term mortality than non-HD patients. Although sarcopenia and malnutrition were related to mortality and were more common in HD patients, sarcopenia and malnutrition had a lower impact than diabetes on the long-term prognosis of HD patients with ACS.

Differential effect of malnutrition between patients hospitalized with new-onset heart failure and worsening of chronic heart failure

Aims

We aimed to investigate the differences in the prevalence, severity, and prognostic impact of malnutrition between patients with new‐onset heart failure (HF) and worsening of chronic HF.

Methods and results

In older (≥60 years) hospitalized patients with acute HF, malnutrition was assessed according to the Geriatric Nutritional Risk Index (GNRI). A score <92 was defined as malnutrition. The primary endpoint was a composite endpoint, including cardiac death or rehospitalization for HF. Among 210 patients, 37% (52/142) of patients with new‐onset HF and 31% (21/68) of patients with worsening of chronic HF had malnutrition (P = 0.41). The GNRI classification was comparable between the two groups. Kaplan–Meier analysis revealed a significant difference in the incidence of the composite endpoint in patients with new‐onset HF (GNRI < 92 vs. GNRI ≥ 92: 50% vs. 32%, P = 0.007), but not in patients with worsening of chronic HF (GNRI < 92 vs. GNRI ≥ 92: 67% vs. 68%, P = 0.91). The adjusted Cox proportional hazards model demonstrated that a GNRI of <92 was an independent prognostic factor for the composite endpoint in patients with new‐onset HF only.

Conclusions

Among older hospitalized patients with acute HF, the prevalence and severity of malnutrition were comparable between the two categories of patients. Malnutrition was an independent prognostic factor in patients with new‐onset HF, while clinical prognosis was poor in patients with worsening of HF, irrespective of malnutrition. The prognostic impact of malnutrition differs between new‐onset HF and worsening of chronic HF.

Impact of preoperative nutritional scores on 1-year postoperative mortality in patients undergoing valvular heart surgery

OBJECTIVE

Malnutrition is a well-recognized risk factor for poor prognosis and mortality. We investigated whether preoperative malnutrition diagnosed with objective nutritional scores affects 1-year mortality in patients undergoing valvular heart surgery.

METHODS

In this retrospective cohort observational study, we evaluated the association among the Controlling Nutritional Status score, Prognostic Nutritional Index, and Geriatric Nutritional Risk Index with 1-year mortality in 1927 patients undergoing valvular heart surgery. We identified factors for mortality using multivariable Cox proportional hazard analysis and investigated the utility of nutritional scores for risk stratification.

RESULTS

Malnutrition, as identified by a high Controlling Nutritional Status score and low Prognostic Nutritional Index and Geriatric Nutritional Risk Index, was significantly associated with higher 1-year mortality. Kaplan-Meier survival curve showed that mortality significantly increased as the severity of malnutrition increased (log-rank test, P < .001). The predicted discrimination (C-index) was 0.79 with the Controlling Nutritional Status score, 0.77 with the Prognostic Nutritional Index, and 0.73 with the Geriatric Nutritional Risk Index. Each nutritional index (Controlling Nutritional Status; hazard ratio, 1.31, 95% confidence interval, 1.21-1.42, P < .001), the European System for Cardiac Operative Risk Evaluation II (hazard ratio, 1.07, 95% confidence interval, 1.04-1.09, P < .001), and chronic kidney disease (hazard ratio, 2.26, 95% confidence interval, 1.31-3.90, P = .003) were independent risk factors for mortality. The Controlling Nutritional Status score added to the European System for Cardiac Operative Risk Evaluation II significantly increased the predictive discrimination ability for mortality (C-index 0.82, 95% confidence interval, 0.78-0.87, P = .014) compared with the Controlling Nutritional Status or European System for Cardiac Operative Risk Evaluation II alone.

CONCLUSIONS

Preoperative malnutrition as assessed by objective nutritional scores was associated with 1-year mortality after valvular heart surgery. The Controlling Nutritional Status score had the highest predictive ability and, when added to the European System for Cardiac Operative Risk Evaluation II, provided more accurate risk stratification.

Which Objective Nutritional Index Is Better for the Prediction of Adverse Medical Events in Elderly Patients Undergoing Spinal Surgery?

OBJECTIVE

The relationship of preoperative malnutrition with perioperative adverse medical events (PAMEs) has not been well studied in elderly patients undergoing spinal surgery (SS). We aimed to compare the Prognostic Nutritional Index (PNI), Controlling Nutritional Status (CONUT) score, and Geriatric Nutritional Risk Index (GNRI) for prediction of PAMEs in elderly patients undergoing SS.

METHODS

Data of 454 patients ≥65 years old undergoing SS were reviewed. PAMEs were defined as death, cardiopulmonary complications, respiratory failure, acute kidney injury, pneumonia, delirium, cerebrovascular events, and sepsis. The area under the receiver operating characteristic curve was used to compare the predictive value of each nutritional index for PAMEs.

RESULTS

Incidence of PAMEs was 15.3%. Patients who had PAMEs had significantly lower GNRI and PNI but higher CONUT score before surgery compared with patients without PAMEs. Multivariate analysis showed that age (odds ratio [OR] 1.55, 95% confidence interval [CI] 1.01-4.75, P = 0.014), chronic renal failure (OR 1.34, 95% CI 1.03-3.82, P = 0.002), coronary artery disease (OR 1.12, 95% CI 1.11-3.54, P = 0.028), PNI <45.4 (OR 2.12, 95% CI 1.16-4.80, P = 0.011), CONUT score >5 (OR 2.17, 95% CI 1.03-3.76, P = 0.001), and GNRI <92 (OR 2.68, 95% CI 1.20-6.45, P < 0.001) were significant predictors of PAMEs. The receiver operating characteristic curve showed that GNRI had much greater discriminatory ability regarding PAMEs than PNI and CONUT score.

CONCLUSIONS

Preoperative malnutrition is associated with PAMEs in elderly patients undergoing SS. GNRI had the highest accuracy for predicting PAMEs among the nutritional indices studied.

Low Geriatric Nutritional Risk Index as a Poor Prognostic Marker for Second-Line Pembrolizumab Treatment in Patients with Metastatic Urothelial Carcinoma: A Retrospective Multicenter Analysis

BACKGROUND

We evaluated the prognostic efficacy of the Geriatric Nutritional Risk Index (GNRI) in second-line pembrolizumab (PEM) therapy for patients with metastatic urothelial carcinoma (mUC).

PATIENTS AND METHODS

From January 2018 to October 2019, 52 mUC patients, treated previously with platinum-based chemotherapy, underwent second-line PEM therapy. Peripheral blood parameters were measured at the start of treatment: serum neutrophil-to-lymphocyte ratio (NLR), serum albumin, serum C-reactive protein (CRP), and body height and weight. PEM was intravenously administered (200 mg every 3 weeks). The patients were organized into two groups based on their GNRI (<92 [low GNRI] and ≥92 [high GNRI]), and the data were retrospectively analyzed. Adverse events (AEs) were evaluated and imaging studies assessed for all patients. Analyses of survival and recurrence were performed using Kaplan-Meier curves. Potential prognostic factors affecting cancer-specific survival (CSS) were assessed by univariate and multivariate Cox regression analyses.

RESULTS

patients' baseline characteristics, except for their BMI and objective response rate, did not significantly differ between the two groups. The median total number of cycles of PEM therapy was significantly higher for the high-GNRI group (n [range]: 6 [2-20] vs. 3 [1-6]). The median CSS with second-line PEM therapy was 3.6 months (95% confidence interval [CI]: 2.5-6.1) and 11.8 months (95% CI: 6.2-NA) in the low-GNRI and the high-GNRI group (p < 0.01), respectively. Significant differences in CSS between the low- and high-CRP or -NRL groups were not found. Multivariate Cox proportional-hazards regression analysis revealed that a poor Eastern Cooperative Oncology Group performance status, visceral metastasis, and a low GNRI were significant prognostic factors for short CSS (95% CI: 1.62-6.10, HR: 3.14; 95% CI: 1.13-8.11, HR: 3.03; 95% CI: 1.32-8.02, HR: 3.25, respectively). Of the AEs, fatigue showed a significantly higher incidence in the low-GNRI group.

CONCLUSIONS

For mUC patients receiving second-line PEM therapy, the GNRI is a useful predictive biomarker for survival outcome.

Geriatric Nutritional Risk Index can predict postoperative delirium and hospital length of stay in elderly patients undergoing non-cardiac surgery

AIM

Malnutrition is common in older patients and is associated with adverse outcomes. The Geriatric Nutritional Risk Index (GNRI) has been developed as an objective index to assess nutritional risk in these patients. However, there is limited evidence regarding the association between GNRI and postoperative delirium (POD) as well as length of stay (LOS) in surgical older patients. Therefore, our goal was to examine the impact of poor nutrition, evaluated by the GNRI, on POD and length of stay in older patients undergoing non-cardiac surgery.

METHODS

In this prospective cohort study, older patients undergoing non-cardiac surgery from April to June of 2015 were included. Preoperative nutritional status was assessed by the GNRI within the first 48 h after hospital admission. The outcomes were POD and LOS. Multivariable logistic regression and linear regression analyses were used to assess the role of GNRI in predicting these outcomes.

RESULTS

In the whole sample (N = 288), the prevalence of severe/moderate (GNRI <92) and low (GNRI 92-98) nutritional risk was 15.6% and 29.5%, respectively. The median length of hospital stay was 14 days. Delirium was present in 49 patients (17%). A linear regression analysis showed that low (β = 4.56, 95% confidence interval [CI]: 2.18-6.94) and severe/moderate (β = 3.70, 95% CI: 0.74-6.65) nutritional risk were associated with prolonged LOS. Moreover, a multivariate analysis revealed that patients with severe/moderate nutritional risk were more likely to develop POD compared with those without (odds ratio = 2.56, 95% CI: 1.11-5.89).

CONCLUSION

Preoperative malnutrition, as assessed using the GNRI, predicted LOS and the development of POD in elderly non-cardiac surgical patients. Geriatr Gerontol Int 2020; 20: 759-764.