Nutritional Scoring System Research Articles

The association between Naples Prognostic Score and all-cause and cardiovascular mortality in the general population with Metabolic Syndrome: a cohort study

Background and aimThe Naples prognostic score (NPS) is a recognized inflammatory and nutritional scoring system used as a prognostic indicator in various cancers and, more recently, in non-cancer diseases. Its association with mortality in individuals with Metabolic Syndrome (MetS) is understudied. This study aims to investigate the link between NPS and both all-cause and cardiovascular disease (CVD) mortality in adults with MetS. Methods and resultsThis study included individuals with MetS from the National Health and Nutrition Examination Survey (NHANES) 1999-2016. Mortality data were linked to National Death Index records up to December 31, 2019. MetS was defined using NCEP ATP III criteria. NPS was calculated using serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio, classifying participants into three groups. Survival differences were assessed using Kaplan-Meier analysis and Log-rank tests. Cox proportional hazards regression determined hazard ratios (HR) with 95% confidence intervals (CI). The study included 13,757 participants, with 2,744 (19.95%) in the low group, 9,140 (66.44%) in the medium group, and 1,873 (13.61%) in the high group. Over a median follow-up of 9.16 years, there were 3,292 all-cause deaths and 1,136 cardiovascular deaths. Compared to the low group, the high group had adjusted HRs of 1.74 (95% CI: 1.51, 2.01) for all-cause mortality and 1.60 (95% CI: 1.25, 2.04) for cardiovascular mortality (all P for trend < 0.01). ConclusionsNPS is a significant prognostic indicator for both all-cause and cardiovascular mortality in individuals with MetS, showing a positive correlation with mortality risk, reinforcing its potential clinical utility.

Effects of Different Nutritional Scoring Systems on Prognosis of Elderly Patients with Multiple Myeloma

To analyze the prognostic nutritional index (PNI), controlling nutritional status (CONUT) and fibrinogen/albumin ratio (FAR) levels in elderly patients with multiple myeloma (MM) and their prognostic impact. The clinical data of 74 elderly MM patients diagnosed in Gansu Provincial Hospital from January 2020 to July 2022 were retrospectively analyzed. The optimal cut-off values for PNI, CONUT score and FAR were obtained by receiver operating characteristic (ROC) curve, which were used for grouping patients. The correlation of above three indexes with clinical parameters such as sex, serum calcium (Ca), β2-microglobulin (β2-MG), serum creatinine (Cr) in elderly MM patients were analyzed. The survival rates of patients with different levels of each index were compared. Univariate and multivariate analysis of the impact of clinical indicators on the prognosis of patients were performed. The optimal cut-off values for PNI, CONUT score and FAR were 39.775, 3.5 and 0.175, respectively, according to which the patients were divided into high and low group. Statistical analysis showed that there were significant differences in albumin level among different groups (all P < 0.05). In addition, there was a significant difference in hemoglobin between high-PNI group and low-PNI group (P < 0.05), while in sex distribution between high-FAR and low-FAR group (P < 0.05). The survival rate of elderly MM patients with increased PNI, decreased CONUT score and FAR was higher (all P < 0.05). Univariate and multivariate analysis showed that β2-MG, Cr, PNI, CONUT score and FAR were independent prognostic factors for elderly MM patients. PNI, CONUT score and FAR are related to some clinical indicators of elderly MM patients, and have an impact on the prognosis.

Prevalence of Poor Nutrition in Knee Osteoarthritis Patients: A Hospital-Based Cohort Study in Indian Population.

Malnourished adults with knee osteoarthritis (OA) have a lower propensity for physical activities, leading to post-surgical stress and poorer clinic-functional outcomes. The study is aimed to propose an integrative screening procedure for patients and to identify a subset of patients who are undernourished or at risk of undernutrition in the Indian population. A hospital-based cross-sectional study was conducted at a tertiary care, a university-level teaching hospital for seven months, which included knee OA patients above the age of 45years, and the following criteria were evaluated anthropometric measurement and blood biochemical parameters and nutritional scoring system. The current study reports a high prevalence of malnutrition (69.5%) in patients with knee OA in the Indian population based on blood biochemical levels, and late presenters are associated with poor nutritional status of an individual. A single gold standard blood biochemical test, serum albumin alone, reports many malnourished individuals in the population, and the remaining blood biochemical parameters may not yield any additional information. Mini nutritional assessment, mid-arm circumference, and mid-calf circumference are poor predictors of malnutrition, and we need a revised cut-off for our group of patients. In the cohort of OA Knee, the prevalence of malnutrition is high (69.5%) in the Indian population. Serum Albumin is the best parameter to detect the presence of malnutrition preoperatively, and MNS is not applicable to detect malnutrition in our subset of patients. The study recommends routinely measuring serum albumin levels in all patients to correct the nutritional abnormality preoperatively, resulting in better surgical outcomes and reduced post-operatively complications. IV.

Comparison of three nutritional assessment methods associated with the prognostic impact of laryngeal cancer.

Several studies have found that the prognostic nutritional index (PNI), controlling nutritional status (CONUT), and Glasgow Prognostic Score (GPS) of patients with laryngeal cancer accurately predict their prognosis. However, there is no consensus regarding the best assessment tool. Therefore, this study aimed to confirm the predictive value of the three nutritional scoring systems for the prognosis of patients with laryngeal cancer. This study analyzed a cohort of 427 patients with laryngeal cancer who visited our hospital. PNI, CONUT, and GPS were calculated, and the relationship between these indicators and prognosis was examined. The optimal cut-off levels for overall survival (OS) of laryngeal cancer patients determined by PNI, CONUT, and GPS were 45, 3, and 0, respectively. When patients were stratified based on these thresholds, OS and disease-free survival (DFS) were significantly decreased in the malnutrition group (all three, p < 0.05). The OS rates of patients with laryngeal cancer were significantly affected by the three scores according to multivariate analysis. The three scoring methods had a high predictive value for the prognosis of patients with laryngeal cancer, with GPS having the strongest correlation with the prognosis of laryngeal cancer patients.

The prognostic importance of the Naples prognostic score for in-hospital mortality in patients with ST-segment elevation myocardial infarction.

The Naples prognostic score (NPS) is an effective inflammatory and nutritional scoring system widely applied as a prognostic factor in various cancers. However, the prognostic significance of NPS is unknown in ST-segment elevation myocardial infarction (STEMI). We aimed to analyze the prognostic value of the NPS in-hospital mortality in patients with STEMI. The study consisted of 3828 patients diagnosed with STEMI who underwent primer percutaneous coronary intervention. As the primary outcome, in-hospital mortality was defined as all-cause deaths during hospitalization. The included patients were categorized into three groups based on NPS (group 1:NPS = 0,1,2; group 2:NPS = 3; group 3:NPS = 4). Increased NPS was associated with higher in-hospital mortality rates(P < 0.001). In the multivariable logistic regression analysis, the relationship between NPS and in-hospital mortality continued after adjustment for age, male sex, diabetes, hypertension, Killip score, SBP, heart rate, left ventricular ejection fraction, myocardial infarction type and postprocedural no-reflow. A strong positive association was found between in-hospital mortality and NPS by multivariable logistic regression analysis [NPS 0-1-2 as a reference, OR = 1.73 (95% CI, 1.04-2.90) for NPS 3, OR = 2.83 (95% CI, 1.76-4.54) for NPS 4]. The present study demonstrates that the NPS could independently predict in-hospital mortality in STEMI. Prospective studies will be necessary to confirm the performance, clinical applicability and practicality of the NPS for in-hospital mortality in STEMI.

Derivation and validation of a nutrition-covered prognostic scoring system for extranodal NK/T-cell lymphoma.

Patients with aggressive lymphomas are at high risk of losing body resources, resulting in malnutrition, immunodeficiency and inferior outcomes. Nutritional status is closely associated with survival, but often neglected in the prognostic assessment. This study aimed to explore the significance of nutritional status in extranodal NK/T-cell lymphoma (ENKTL). Univariate and multivariate Cox regression analyses were conducted to examine the significance of nutritional index on overall survival (OS) and progression-free survival (PFS). A nutrition-incorporated score system was constructed based on the multivariate results, and its calibration, discrimination and clinical utility were tested in the training and validation cohort. Multivariate analysis revealed controlling nutritional status (CONUT) score could independently predict OS (HR 10.247, P=0.001) and PFS (HR 5.587, P=0.001) in addition to prognostic index of natural killer lymphoma plus EBV (PINK-E). Herein, a reformative model, CONUT-PINK-E, was developed and further verified in external validation cohort. CONUT-PINK-E classified patients into three risk grades with significant survival differences (P < 0.001). Compared with the current models, CONUT-PINK-E presented superior discrimination, calibration and clinical benefit. In this study, we firstly verified that CONUT score was efficient to screen prognosis-related malnutrition in ENKTL. Moreover, we developed the first nutritional assessment-covered scoring system, CONUT-PINK-E, which might be a promising tool to provide references for clinical decision-making of ENKTL patients.

Clinical significance of the preoperative prognostic nutritional index on age/comorbidity burdens in patients with resectable non-small cell lung cancer.

Objective nutritional scoring systems using preoperative blood samples have shown the potential to predict the postoperative outcomes of patients with non-small cell lung cancer (NSCLC). However, it remains unclear whether the prognostic impact depends on age and comorbid burdens. We conducted this study to validate the impact of preoperative nutritional status, stratified with age and comorbidity. We reviewed the preoperative prognostic nutritional index (PNI) and postoperative outcomes of 713 consecutive patients with completely resected NSCLC. We identified the optimal cutoff values of the PNI as 46. Significantly higher postoperative complication rates and worse survival rates were observed in the low PNI (≤ 46) group, regardless of age/comorbidity burdens. Multivariate analysis showed that a low PNI (≤ 46) was an independent prognostic factor for poor overall survival (hazard ratio: 2.5). A matched-pair analysis gave consistent results, showing that a low PNI (≤ 46) was an independent prognostic factor for poor overall survival (OS; hazard ratio: 1.8) and recurrence-free survival (RFS; hazard ratio: 1.6). Nutritional status, indexed by the PNI, is a strong prognostic factor for the postoperative outcomes of patients undergoing curative resection for NSCL, regardless of age/comorbidity burdens.

Preoperative controlling nutritional status score (CONUT) predicts postoperative complications of patients with bronchiectasis after lung resections.

The Controlled Nutritional Status (CONUT) score is a valid scoring system for assessing nutritional status and has been shown to correlate with clinical outcomes in many surgical procedures; however, no studies have reported a correlation between postoperative complications of bronchiectasis and the preoperative CONUT score. This study aimed to evaluate the value of the CONUT score in predicting postoperative complications in patients with bronchiectasis. We retrospectively analyzed patients with localized bronchiectasis who underwent lung resection at our hospital between April 2012 and November 2021. The optimal nutritional scoring system was determined by receiver operating characteristic (ROC) curves and incorporated into multivariate logistic regression. Finally, independent risk factors for postoperative complications were determined by univariate and multivariate logistic regression analyses. A total of 240 patients with bronchiectasis were included, including 101 males and 139 females, with an average age of 49.83 ± 13.23 years. Postoperative complications occurred in 59 patients (24.6%). The incidence of complications, postoperative hospital stay and drainage tube indwelling time were significantly higher in the high CONUT group than in the low CONUT group. After adjusting for sex, BMI, smoking history, lung function, extent of resection, intraoperative blood loss, surgical approach and operation time, multivariate analysis showed that the CONUT score remained an independent risk factor for postoperative complications after bronchiectasis. The preoperative CONUT score is an independent predictor of postoperative complications in patients with localized bronchiectasis.

Prevalence and prognostic importance of malnutrition, as assessed by four different scoring systems, in elder patients with heart failure

Background and aimsThe lack of standard diagnostic criteria in elder patients with heart failure (HF) makes it challenging to diagnose and manage malnutrition. We aimed to explore the prevalence of malnutrition, its associations and prognostic significance among elder patients with HF using four different nutritional scoring systems. Methods and resultsConsecutively presenting patients aged ⩾65 years, diagnosed with HF, and admitted to HF care unit of Fuwai Hospital CAMS&PUMC (Beijing, China) were assessed for nutritional indices. In total, 1371 patients were enrolled (59.4% men; mean age 72 years; median NT-proBNP 2343 ng/L). Using scores for the prognostic nutritional index (PNI) ≤38, controlling nutritional status (CONUT) score >4, geriatric nutritional risk index (GNRI) ≤91, and triglycerides, total cholesterol, and body weight index (TCBI) ≤1109, 10.4%, 18.3%, 9.2%, and 50.0% of patients had moderate or severe malnutrition, respectively. There was a strong association between worse scores and lower body mass index, more severe symptoms, atrial fibrillation, and anemia. The mortality over a median follow-up of 962 days (interquartile range (IQR): 903–1029 days) was 28.3% (n = 388). For those with moderate or severe condition, 1-year mortality was 35.2% for PNI, 28.3% for CONUT, 28.0% for GNRI, and 19.1% for TCBI. Malnutrition, defined by any of the included indices, showed added prognostic value when incorporated into a model and included preexisting prognostic factors (C-statistic: 0.711). However, defining malnutrition by the CONUT score yielded the most significant improvement in the prognostic predictive value (C-statistic: 0.721; p < 0.001). ConclusionMalnutrition is prevalent among elder patients with HF and confers increased mortality risk. Among the nutritional scores studied, the CONUT score was most effective in predicting the mortality risk. Clinical trial registrationURL: ClinicalTrials.gov; Unique Identifier: NCT02664818.

Inflammatory and Nutritional Scoring System for Predicting Prognosis in Patients with Newly Diagnosed Multiple Myeloma

We aimed to assess the prognostic value of pretreatment inflammatory and nutritional parameters for predicting overall survival (OS) in patients with newly diagnosed multiple myeloma (NDMM), and to build a new scoring system using the most important variables. We retrospectively analyzed baseline clinical and laboratory data for patients with NDMM, who were randomly grouped into training and validation cohorts at a ratio of 8:2. The Inflammatory Nutritional Score (INS) was developed based on the least absolute shrinkage and selection operator (LASSO) Cox regression. The INS and other independent prognostic factors were entered into a multivariate Cox model and merged to generate a nomogram model for predictive optimization. Performance and predictive accuracy were assessed using the concordance index (C-index), calibration plots, and time-dependent receiver operating characteristic (ROC) curves. In total, 442 eligible patients were enrolled. Six inflammatory/nutritional variables, including the Nutritional Risk Index (NRI), body mass index (BMI), neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), platelet-lymphocyte ratio (PLR), and albumin-alkaline phosphatase ratio (AAPR), were integrated to construct the INS using the LASSO Cox model. The predictive nomogram constructed following the multivariate Cox analysis included INS, performance status, lactate dehydrogenase, age, and C-reactive protein. The model exhibited good predictive performance, with a C-index of 0.708 in the training cohort and 0.749 in the validation cohort. Moreover, the calibration curves also demonstrated excellent consistency between predicted and observed survival in both cohorts. In the time-dependent ROC analysis, our nomogram model exhibited better performance than other staging systems for multiple myeloma. The INS represents an independent prognostic signature in patients with NDMM. Our novel nomogram based on INS may aid in predicting survival probability and stratifying risk.

A Novel Inflammatory and Nutritional Prognostic Scoring System for Nonpathological Complete Response Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy.

It has been demonstrated that inflammatory and nutritional variables are associated with poor breast cancer survival. However, some studies do not include these variables due to missing data. To investigate the predictive potential of the INPS, we constructed a novel inflammatory-nutritional prognostic scoring (INPS) system with machine learning. This retrospective analysis included 249 patients with malignant breast tumors undergoing neoadjuvant chemotherapy (NAC). After comparing seven potent machine learning models, the best model, Xgboost, was applied to construct an INPS system. K-M survival curves and the log-rank test were employed to determine OS and DFS. Univariate and multivariate analyses were carried out with the Cox regression model. Additionally, we compared the predictive power of INPS, inflammatory, and standard nutritional variables using the Z test. After comparing seven machine learning models, it was determined that the XGBoost model had the best OS and DFS performance (AUC = 0.865 and 0.771, respectively). For overall survival (OS, cutoff value = 0.3917) and disease-free survival (cutoff value = 0.4896), all patients were divided into two groups by the INPS. Those with low INPS had higher 5-year OS and DFS rates (77.2% vs. 50.0%, P < 0.0001; and 59.6% vs. 32.1%, P < 0.0001, respectively) than patients with high INPS. For OS and DFS, the INPS exhibited the highest AUC compared to the other inflammatory and nutritional variables (AUC = 0.615, P = 0.0003; AUC = 0.596, P = 0.0003, respectively). The INPS was an independent predictor of OS and DFS and exhibited better predictive ability than BMI, PNI, and MLR. For patients undergoing NAC for nonpCR breast cancer, INPS was a crucial and comprehensive biomarker. It could also forecast individual survival in breast cancer patients with low HER-2 expression.

The relationship between acute physiology and chronic health evaluation-II, sequential organ failure assessment, Charlson comorbidity index and nutritional scores and length of intensive care unit stay of patients hospitalized in the intensive care unit due to chronic obstructive pulmonary disease

Aim: It is known that disease severity and nutritional status are determinants of prognosis in patients hospitalized in the intensive care unit (ICU). Different scoring systems are used to evaluate the nutritional status and disease severity of intensive care patients. It will be very useful in clinical practice to determine the intensive care scores that are in harmony with the nutritional parameters and affect the length of stay in the ICU in patients hospitalized with the diagnosis of chronic obstructive pulmonary disease (COPD). It was aimed to determine the relationship between acute physiology and chronic health evaluation-II (Apache-II), sequential organ failure assessment (SOFA), and Charlson comorbidity index (CCI) with nutritional scores in intensive care patients with a diagnosis of COPD. Also, it was aimed to determine the scoring systems that affect the length of stay in the ICU.&#x0D; Material and Method: Nutritional risk score-2002 (NRS-2002), prognostic nutritional index (PNI), modified nutritional risk in critically ill (mNutric) score, albumin, Apache-II, SOFA and CCI values and intensive care unit length of stay of the patients hospitalized in the intensive care unit due to COPD were recorded. The scoring systems that affect the length of stay in the ICU and the relationship between nutritional scores and Apache-II, SOFA and CCI was analyzed using statistical methods.&#x0D; Results: A significant correlation was found between only CCI and all nutritional scores. Only the CCI value was found to be significantly higher in those found to be at high risk compared to all nutritional scoring systems. CCI cut-off value determined according to nutritional scoring was determined as 4.5 according to PNI and albumin, and 5.5 according to mNutric score and NRS-2002. It was determined that CCI affects the length of stay in the intensive care unit.&#x0D; Conclusion: CCI is a scoring system that is compatible with nutritional parameters and affects the length of stay in the intensive care unit. Therefore, we think that CCI can be used to predict prognosis and nutritional risk in patients with COPD in the intensive care unit and to predict the length of stay in the intensive care unit. In terms of malnutrition risk, a cut-off value of ≥6 can be used for CCI.

The prognostic value of the Naples prognostic score for patients with non-small-cell lung cancer

The Naples prognostic score (NPS) is an effective inflammatory and nutritional scoring system widely applied as a prognostic factor in various cancers. We aimed to analyze the prognostic value of the NPS in patients diagnosed with non-small-cell lung cancer (NSCLC). We prospectively collected 395 patients diagnosed with NSCLC between January 2016 and December 2018 in two university-affiliated hospitals. Patients were divided into three groups according to their pretreatment NPS (Group 0: NPS = 0; Group 1: NPS = 1–2; Group 2: NPS = 3–4). Kaplan–Meier survival curves indicated that patients with higher NPS had a poorer overall survival (OS) and progress-free survival (PFS) (both P < 0.05). NPS was further confirmed as an independent prognostic factors of OS and PFS by multivariable survival analysis (both P < 0.05). Furthermore, stratifying by TNM stage, NPS also has significant predictive performance for OS and PFS in both early (I–IIIA) and advanced (IIIB–IV) stage NSCLC (all P < 0.05). The time-dependent receiver operating characteristic curve analysis demonstrated that NPS was more superior to other prognostic factors in predicting OS and PFS. In conclusion, NPS may serve as an effective indicator to predict OS and PFS in NSCLC patients regardless of TNM stage.

Trajectories of Nutritional Parameters Before and After Prescribed Oral Nutritional Supplements: A Longitudinal Cohort Study of Patients With Chronic Kidney Disease Not Requiring Dialysis

Background:The association between oral nutritional supplement use and nutritional parameters among patients with nondialysis chronic kidney disease (CKD-ND) with or at high risk of undernutrition/protein-energy wasting has not been previously studied. The definition of patient subgroups most likely to benefit from oral nutritional supplementation (ONS) is also an area where more research is needed.Objective:To assess nutritional parameter trajectories among patients with CKD-ND prescribed oral nutritional supplements in British Columbia, and to compare trajectories by nutritional phenotype.Design:Longitudinal cohort study, pre-post design.Setting:Multidisciplinary CKD clinics across British Columbia.Patients:A total of 3957 adult patients with CKD-ND, who entered multidisciplinary CKD clinics during 2010 to 2019, met criteria for oral nutritional supplement prescription based on dietitian assessment, and received ≥1 oral nutritional supplement prescription.Measurements:Longitudinal nutritional parameters, including body mass index (BMI), serum albumin, serum bicarbonate, serum phosphate, and neutrophil-to-lymphocyte ratio (NLR).Methods:Using linear mixed models, slopes for nutritional and inflammation parameters were assessed in the 2-year periods before and after the first oral nutritional supplement prescription. Hierarchical cluster analysis was applied to identify nutritional phenotypes using baseline data, and slope analysis was repeated by cluster.Results:In the pre-oral-nutritional-supplement period, declines in BMI (−0.87 kg/m2/year, 95% confidence interval [CI]: −0.99 to −0.75), albumin (−1.11 g/L/year, 95% CI: −1.27 to −0.95), and bicarbonate (−0.49 mmol/L/year; 95% CI: −0.59 to −0.39), and increases in NLR (+0.79/year; 95% CI: 0.60 to 0.98) and phosphate (+0.05 mmol/L/year; 95% CI: 0.04 to 0.06) were observed. Following oral nutritional supplement prescription, there were statistically significant increases in BMI slope (+0.91 kg/m2/year, P < .0001), albumin slope (+0.82 g/L/year, P < .0001), and phosphate slope (+0.02 mmol/L/year, P = .005), as well as a decline in NLR slope of −0.55/year (P < .0001). There was no significant change in bicarbonate slope. Cluster analysis identified 5 distinct phenotypes. The cluster with the highest mean baseline NLR and lowest mean BMI demonstrated the greatest number of improvements in nutritional parameter slopes in the post-oral-nutritional-supplement period.Limitations:Possibility of residual confounding. Data on dietary intake, muscle mass, and nutritional scoring systems were not available in the registry.Conclusions:Among patients with CKD-ND prescribed oral nutritional supplements, there were improvements in nutrition/inflammation parameters over time following the first ONS prescription. The heterogeneity in response to ONS by cluster subgroup suggests an individualized approach to nutritional management may be beneficial.

Gustave Roussy Immune Score as a Novel Prognostic Scoring System for Colorectal Cancer Patients: A Propensity Score Matching Analysis.

AimThe Gustave Roussy Immune Score (GRIm-Score) was originally designed to select cancer patients for immunotherapy, and later was reported to be a novel prognostic scoring system in lung cancer and esophageal cancer. This study was aimed to determine the prognostic role and predictive performance of GRIm-Score in colorectal cancer (CRC) CRC patients.MethodsWe conducted a single-institution study of 1,579 adult CRC patients receiving surgical removal, and those patients were divided into low GRIm-Score group (scores 0, 1) and high GRIm-Score group (scores 2, 3). Propensity score matching (PSM) was executed to balance the potential confounding factors between the two groups. Survival and time-dependent receiver operating characteristic (Td-ROC) analyses were applied to depict the prognostic role and predictive significance of GRIm-Score in CRC patients.ResultsThere were 200 cases CRC patients in high GRIm-Score group and 1,379 cases in low GRIm-Score group. CRC patients with high GRIm-Score correspond with higher level of CEA, CA125, and inflammatory indexes, such as NLR, PLR, SII, PNI, and ALRI. Correlation analysis exhibited that GRIm-Score correlated well with the established inflammatory indexes. Survival analysis revealed that CRC patients in high GRIm-Score group showed worse overall survival (OS, P <0.0001) and disease-free survival (DFS, P <0.0001) compared with those in low GRIm-Score group. Results from multivariate Cox regression implicated that high GRIm-Score was not only a potent prognostic index for unfavorable OS (HR = 1.622, 95%CI: 1.118–2.355, P = 0.0109), but also a potent risk factor for worse DFS (HR = 1.743, 95%CI: 1.188–2.558, P = 0.0045). Td-ROC analysis demonstrated that GRIm-Score exhibited the superior discriminatory power in the prediction of OS and DFS when compared to SII, PNI, and ALRI. Such strong associations between high levels of preoperative GRIm-Score and unfavorable survival outcomes remained robust after PSM analysis.ConclusionGRIm-Score, a novel inflammatory and nutritional risk scoring system, is a potent prognostic index in CRC patients receiving surgical removal. GRIm-Score can be used as an effective and simplified risk stratification tool for postoperative survival prediction of CRC patients.

Comparison of nutritional and immunological scoring systems predicting prognosis in T1-2N0 colorectal cancer.

Previous studies have shown that the new nutritional and immunological status scoring systems of the Naples prognostic score (NPS), controlling nutritional status score (CONUT), and the older prognostic nutritional index (PNI) are independent predictors in colorectal cancer. This study compares the prognostic value of NPS, CONUT, and PNI in T1-2N0 colorectal cancer. We retrospectively evaluated 305 consecutive stage I (T1-2N0M0) colorectal cancer patients who underwent radical surgery from January 2010 to December 2015 at our hospital. The NPS results were divided into 3 groups (0, 1, and 2 groups), and the PNI and CONUT results were divided into 2 groups (low and high groups). The patients with low PNI had worse overall survival (OS) and disease-free survival (DFS) than those with high PNI (P < 0.001 and P < 0.001, respectively). Multivariate analysis showed that PNI was independently associated with OS and DFS (P < 0.001 and P < 0.001, respectively), but NPS and CONUT results were not. The PNI is an independent predictor in stage I colorectal cancer, but NPS and CONUT results are not.

Exploration of three different nutritional scores in predicting postoperative complications after pancreaticoduodenectomy.

Objectives: we used the Controlling Nutritional Status score (CONUT), Geriatric Nutritional Risk Index (GNRI), and Prognostic Nutritional Index (PNI) to explore three different nutritional scores in predicting postoperative complications after pancreaticoduodenectomy (PD). Methods: data were retrospectively reviewed from 113 patients who underwent PD to treat pancreatic cancer and periampullary neoplasms at the Second Affiliated Hospital of Soochow University between 2015 and 2020. Nutritional status was assessed by the CONUT, GNRI, and PNI scores, and patients were categorized as either at risk or not at risk for malnutrition by each score. Postoperative complications were defined according to the Clavien-Dindo classification. Data were analyzed using Fisher's exact probability method and multivariate logistic regression analysis. The relationships between the three nutritional scoring systems and postoperative complications were examined. Results: CONUT, GNRI and PNI scores were closely related to the occurrence of postoperative complications. CONUT (OR = 0.92, 95 % CI, 0.75-1.12, p = 0.043), GNRI (OR = 0.98, 95 % CI, 0.93-1.02, p = 0.036), PNI (OR = 0.96, 95 % CI, 0.89-1.03, p = 0.024), and operation periods (OR = 1.01, 95 % CI, 0.99-1.02, p = 0.034) were independent risk factors for complications in patients after PD. The predictive value of the three nutritional screening methods for overall complications in patients with PD had a sensitivity of 31.8 %, 56.06 % and 74.24 %, a specificity of 85.10 %, 68.08 % and 76.81 %, a Youden index of 0.17, 0.24 and 0.71, and a kappa value of 0.460, 0.389 and 0.472, respectively. The predictive value of the three nutritional screening methods in predicting the severity of complications in patients with PD had a sensitivity of 82.11 %, 58.95 % and 65.26 %, a specificity of 38.89 %, 55.56 % and 66.67 %, a Youden index of 0.21, 0.15 and 0.36, and a kappa value of 0.664, 0.416 and 0.645, respectively. Among the three nutrition scoring systems, PNI score had better diagnostic efficiency (0.660 area under the AUC curve), higher specificity (66.67 %), and was consistent with postoperative complications (KCONUT = 0.664, KGNRI = 0.416, KPNI = 0.645) when compared to the GNRI and CONUT scores. Conclusions: CONUT, GNRI and PNI scores, especially PNI score, have good predictive values for the occurrence and severity of postoperative complications in PD patients, and should be used as preoperative nutritional risk screening tools for PD patients.

Comparison of three nutritional scoring systems for outcomes after complete resection of non–small cell lung cancer

ObjectivesMounting evidence suggests that preoperative nutritional status can predict postoperative outcomes in patients with non–small cell lung cancer. However, a consensus on the optimal evaluation tool among the various nutritional assessment methods has not been reached. This study aimed at validating the predictive value of 3 nutritional scoring systems for clinical outcomes in patients with completely resected non–small cell lung cancer. MethodsWe retrospectively reviewed the preoperative data of 475 consecutive patients with completely resected non–small cell lung cancer to assess the following 3 albumin-based nutritional methods: prognostic nutritional index, controlling nutritional status score, and geriatric nutritional risk index. ResultsReceiver operating characteristic curves of the prognostic nutritional index, controlling nutritional status score, and geriatric nutritional risk index identified the optimal cutoff values for predicting the postoperative complications as 47, 2, and 101, respectively. Stratification of patients using these cutoff values indicated a higher postoperative complication rate in the malnutrition group than in the group with proper nutrition (P < .05 for all nutritional assessment methods). Additionally, patients with malnutrition exhibited significantly lower 5-year overall and recurrence-free survivals, regardless of the assessment method (P < .05 for all 3 nutritional assessment methods). Multivariate analyses showed that all 3 nutritional parameters were independent prognostic factors for overall survival after lung resection. ConclusionsThe 3 nutritional assessment methods we used were found to have high predictive values for postoperative complications and survival. Preoperative nutritional conditioning may improve the postoperative outcomes in patients with resectable non–small cell lung cancer.

The prognostic significance of the advanced lung cancer inflammation index(ALI) in patients with advanced biliary tract cancer: A retrospective study.

e16613 Background: Intrahepatic cholangiocarcinoma is the second most common primary cancer, but the prognosis is poor and aggressive therapies provide only limited benefit when it is in advanced stage. Many studies were conducted to find significant prognostic factors to predict clinical outcomes, but there is no definitive parameter or scoring model yet in this disease. This study is a retrospective analysis to test various kinds of prognostic scoring systems including the advanced lung cancer inflammation (ALI) index, a new prognostic model, for patients treated for advanced intrahepatic cholangiocarcinoma. Methods: We retrospectively searched medical records of patients who were diagnosed with advanced intrahepatic cholangiocarcinoma between January 2012 and December 2017 and actively treated at a single tertiary regional cancer center. Patients who received only supportive care, or had active infection concomitantly were excluded. 60 patients were identified, and we reviewed and analyzed their baseline characteristics and clinical outcomes. Various types of inflammation or nutritional scoring systems, neutrophil to lymphocyte ratio (NLR), Onodera’s prognostic nutritional index (OPNI), the advanced lung cancer inflammation (ALI) index were concurrently calculated and significance for patients’ survival was evaluated. Results: In 50 patients with metastatic stage and 10 patients with locally advanced disease, the median overall survival was 13.97 months (95% confidence interval (CI) 7.99 – 19.95). ALI of 28.5 was determined as the optimal cut-off value for prediction of 1-year survival by receiver operating characteristics (ROC) curve with an AUC value of 0.671 (sensitivity and specificity were 77.8% and 60.6%, respectively). 26 patients with ALI &gt; 28.5 had significantly better overall survival compared with 34 patients with ALI≤28.5 (19.2 months vs. 8.73 months, p= .007). NLR above 2.8 only showed mildly significant difference for overall survival (OS), and the OPNI failed to predict prognosis of these patients. In multivariate analysis, there was no independent prognostic factor observed to have association with overall survival. Conclusions: The advanced lung cancer inflammation (ALI) index showed a potential to be a new prognostic model for advanced intrahepatic cholangiocarcinoma. Further cohort studies to expand population size may be worth.

Modified Controlling Nutritional Status score: A refined prognostic indicator depending on the stage of gastric cancer.

294 Background: The role of controlling nutritional status (CONUT) score in predicting cancer survival remains uncertain. This study aimed to investigate the predictive value of the CONUT score and to develop a more appropriate scoring system beyond CONUT for gastric cancer (GC). Methods: We retrospectively reviewed 1307 patients who underwent curative gastrectomy between 2009 and 2015. The CONUT and three modified scores with modified lipid components (L-CONUT: albumin/total lymphocyte count [TLC]/low density lipoprotein, H-CONUT: albumin/TLC/high density lipoprotein, and T-CONUT: albumin/TLC/triglyceride) were calculated. The predictive value of each scoring system on long-term survival was assessed. Results: The values of the four nutritional scores were categorized into three groups (low, medium, and high). The CONUT (P &lt; 0.001), L-CONUT (P &lt; 0.001), H-CONUT (P &lt; 0.001), and T-CONUT (P &lt; 0.001) scores showed significant differences in overall survival in the three groups. Survival analysis according to the pathological stage showed that advanced age, Eastern Cooperative Oncology Group performance status, male sex, and high H-CONUT score (HR, 3.93; 95% CI, 1.81–8.55; P = 0.001) were independent worse prognostic factors for overall survival in the stage I group. In the stage II group, CONUT score (HR, 5.077; 95% CI, 1.65–15.65; P = 0.005) was significantly associated with poor prognosis. In the stage III group, no scoring system showed significant results. Conclusions: In advanced GC (beyond stage II), the prognostic impact of the nutritional scoring system was uncertain. However, the H-CONUT score is a promising indicator of prognosis in stage I GC, and the CONUT score is useful for predicting long-term survival in stage II GC.