Controlling Nutritional Status Research Articles

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.

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

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

The prognostic value of the controlling nutritional status (CONUT) score in predicting outcomes of esophageal cancer patients receiving radiotherapy with or without chemotherapy.

Controlling nutritional status (CONUT) scores and systemic immune-inflammation index (SII) values are associated with the prognosis of several common malignancies. The current study aimed to explore the prognostic value of CONUT scores and SII values in patients with esophageal cancer (EC) receiving radical radiotherapy (RT) or concurrent chemoradiotherapy (CCRT). We calculated the pre-RT CONUT scores and SII values of 62 patients with EC receiving RT or CCRT. Receiver operating characteristic (ROC) curves were used to determine the adequate cut-off values. The Kaplan-Meier method and Cox proportional hazard model were used to analyze the association between CONUT scores and SII values and prognosis. The 1-year progression-free survival (PFS) and 1-year overall survival (OS) rates of the 62 patients were 51.61% and 66.13%, respectively. Based on the time-dependent ROC curve for the 1-year OS of all patients, the optimal cut-off value was 622.02 for the SII and a score of 1 for the CONUT score. The univariate analysis showed that the CONUT score (P=0.036), tumor-nodal-metastasis (TNM) stage (P<0.01), and CCRT (P=0.008) significantly affected the survival of EC patients. The multifactorial analysis showed that the CONUT score (P=0.041) and TNM stage (P<0.01) were independent prognostic factors affecting clinical outcomes in patients with EC undergoing radical RT or CCRT. The pre-RT CONUT score could be an effective predictor of prognosis in patients with EC receiving radical RT or CCRT; however, the pre-RT SII value had no clinical value in predicting survival in our study.

Comparative analysis of four nutritional scores predicting the incidence of MACE in older adults with acute coronary syndromes after PCI

To determine the most appropriate nutritional assessment tool for predicting the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI from four nutritional assessment tools including PNI, GNRI, CONUT, and BMI. Consecutive cases diagnosed with acute coronary syndrome (ACS) and underwent percutaneous coronary intervention (PCI) in the Department of Cardiovascular Medicine of the Air force characteristic medical center from 1 January 2020 to 1 April 2022 were retrospectively collected. The basic clinical characteristics and relevant test and examination indexes were collected uniformly, and the cases were divided into the MACE group (174 cases) and the non-MACE group (372 cases) according to whether a major adverse cardiovascular event (MACE) had occurred within 1 year. Predictive models were constructed to assess the nutritional status of patients with the Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Controlling nutritional status (CONUT) scores, and Body Mass Index (BMI), respectively, and to analyze their relationship with prognosis. The incremental value of the four nutritional assessment tools in predicting risk was compared using the Integrated Discriminant Improvement (IDI) and the net reclassification improvement (NRI). The predictive effect of each model on the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI was assessed using area under the ROC curve (AUC), calibration curves, decision analysis curves, and clinical impact curves; comparative analyses were performed. Among the four nutritional assessment tools, the area under the curve (AUC) was significantly higher for the PNI (AUC: 0.798, 95%CI 0.755–0.840 P < 0.001) and GNRI (AUC: 0.760, 95%CI 0.715–0.804 P < 0.001) than for the CONUT (AUC: 0.719,95%CI 0.673–0.765 P < 0.001) and BMI (AUC: 0.576, 95%CI 0.522–0.630 P < 0.001). The positive predictive value (PPV) of PNI: 67.67% was better than GNRI, CONUT, and BMI, and the negative predictive value (NPV): of 83.90% was better than CONUT and BMI and similar to the NPV of GNRI. The PNI, GNRI, and CONUT were compared with BMI, respectively. The PNI had the most significant improvement in the Integrated Discriminant Improvement Index (IDI) (IDI: 0.1732, P < 0.001); the PNI also had the most significant improvement in the Net Reclassification Index (NRI) (NRI: 0.8185, P < 0.001). In addition, of the four nutritional assessment tools used in this study, the PNI was more appropriate for predicting the occurrence of major adverse cardiovascular events (MACE) within 1 year in elderly ACS patients undergoing PCI.

Malnutrition Is Associated with Diabetic Retinopathy in Patients with Type 2 Diabetes.

The relationship between malnutrition and diabetic retinopathy (DR) is still unclear. The purpose of this study is to investigate the relationship between malnutrition and DR in type 2 diabetic patients. A cross-sectional study was conducted on 612 patients with type 2 diabetes mellitus. Four malnutrition assessment tools: Global Leadership Initiative on Malnutrition (GLIM) criteria, controlling nutritional status (CONUT), nutritional risk index (NRI), and prognostic nutritional index (PNI), were applied to assess the nutritional status of the study population. The association between malnutrition and DR was examined using multivariable logistic regression and ordered logistic regression. The proportion of malnutrition varied from 10.0% to 34.3% in total patients and from 16.3% to 45.1% in DR patients across the assessment tools. DR patients were more likely to be malnourished than patients without DR. The adjusted odds ratios (aOR) and 95% confidence interval (CI) for DR of malnutrition defined by different tools were 1.86 (1.01-3.14) for GLIM criteria, 1.67 (1.04-2.70) for NRI, and 2.24 (1.07-4.69) for PNI. The aOR and 95% CI for the severity of DR of malnutrition defined by different tools were 1.99 (1.12-3.51) for GLIM criteria, 1.65 (1.06-2.58) for NRI, and 2.51 (1.31-4.79) for PNI. Malnutrition was common in DR patients, and it was closely linked to the presence and severity of DR. Diabetic patients with DR should undergo nutritional assessment and early treatment of malnutrition to prevent the onset or progression of DR.

Abstract 17529: Controlling Nutritional Status (CONUT) Score Predicts Adverse Events in Patients With Chronic Heart Failure Following Cardiac Resynchronization Therapy

Introduction: Malnutrition and cachexia have been reported to be associated with poor outcomes in patients with chronic heart failure (CHF). Hypothesis: This study aimed to investigate the association between malnutrition determined by the Controlling Nutritional Status (CONUT) score and adverse events in patients with CHF after cardiac resynchronization therapy (CRT). Methods: This retrospective study evaluated 134 patients (90 male, mean age 70.6 ± 9.7 years; 31 (23%) old myocardial infarction, 57 (43%) dilated cardiomyopathy, 46 (34%) others) who underwent CRT implantation between 2004 and 2020 and were followed for at least one year after the operation (mean, 1070 ± 649 days). CONUT score was calculated in those patients before the CRT implantation. Patients with CONUT score of 0 - 4 (n = 106) were allocated to the preserved nutrition group, and those with CONUT score 5 - 12 (n = 28) were allocated to the malnutrition group. The primary endpoint was hospitalization for heart failure. The secondary endpoint was ventricular arrhythmias including both ventricular tachycardia and ventricular fibrillation, requiring anti-tachycardia pacing, cardioversion. Results: During the follow-up period, hospitalization for heart failure occurred in 55 patients (41%). Ventricular arrhythmias occurred in 31 patients (23%), and 15(48.6%) patients required cardioversion. Kaplan-Meier survival analysis showed a higher incidence of hospitalization for heart failure (log-rank 6.55; P = 0.011) and ventricular arrhythmias (log-rank 6.55; P = 0.011) in the malnutrition group. Cox proportional hazards regression analysis revealed that malnutrition group had a higher incidence of hospitalization for heart failure (hazard ratio 2.11; 95% CI:1.14 - 3.70, P = 0.018) and ventricular arrhythmias (hazard ratio 2.53; 95% CI:1.17 - 5.19, P = 0.020). Conclusions: Malnutrition determined by the CONUT score predicts adverse events in patients undergoing CRT implantation.

Prognostic impact of pretreatment skeletal muscle index and CONUT score in diffuse large B-cell Lymphoma

BackgroundAlthough the prognostic value of the Controlling Nutritional Status (CONUT) score in diffuse large B-cell lymphoma (DLBCL) has been reported in several previous studies, its clinical relevance for the presence of sarcopenia has not been assessed.MethodsIn this study, 305 DLBCL patients were reviewed. They were categorized into normal/mild (n = 219) and moderate/severe (n = 86) CONUT groups. Sarcopenia was assessed using the L3-skeletal muscle index measured by baseline computed tomography imaging. Based on CONUT score and sarcopenia, patients were grouped: A (normal/mild CONUT and no sarcopenia), B (either moderate/severe CONUT or sarcopenia, but not both), and C (both moderate/severe CONUT and sarcopenia).ResultsThe moderate/severe CONUT group showed higher rates of ≥ grade 3 febrile neutropenia, thrombocytopenia, non-hematologic toxicities, and early treatment discontinuation not related to disease progression, compared to the normal/mild CONUT group. The moderate/severe CONUT group had a lower complete response rate (58.1% vs. 80.8%) and shorter median overall survival (18.5 vs. 162.6 months) than the normal/mild group. Group C had the poorest prognosis with a median survival of 8.6 months, while groups A and B showed better outcomes (not reached and 60.1 months, respectively). Combining CONUT score and sarcopenia improved the predictive accuracy of the Cox regression model (C-index: 0.763), compared to the performance of using either CONUT score (C-index: 0.754) or sarcopenia alone (C-index: 0.755).ConclusionsIn conclusion, the moderate/severe CONUT group exhibited treatment intolerance, lower response, and poor prognosis. Additionally, combining CONUT score and sarcopenia enhanced predictive accuracy for survival outcomes compared to individual variables.

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

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

Assessment of nutritional status and clinical outcomes: A comprehensive retrospective analysis of critically ill patients.

Assessing nutritional status is vital for understanding and managing patients' clinical conditions. Controlling Nutritional Status (CONUT) score is one of the most frequently used scores that evaluate caloric status, protein reserve, and immunological response estimation. This study assesses the critically ill patients' nutritional status and its relationship with patient-related factors and mortality. Electronic medical records of 1687 Intensive Care Unit (ICU) patient files were reviewed from January 2019 to May 2023 retrospectively. Patient demographic information, clinical characteristics, and laboratory data were extracted and anonymized for analysis. The patients were divided according to the CONUT scores, and retrieved data were compared. The study population's demographic features and clinical outcomes were stratified by CONUT scores. The gender distribution was similar; however, there was a significant age difference between the Low-CONUT and High-CONUT groups (P < .001). High CONUT values are linked to an increased risk of death, intubation, age, APACHE-II scores, and the number of comorbidities. Malnutrition is prevalent in ICU patients with gastrointestinal illnesses and urogenital system disorders, including infections. Patients with a high CONUT score at admission had an increased risk of ICU death even after correcting for covariates. The CONUT score is a trustworthy and practical tool for assessing ICU patients' nutritional status, which is highly associated with ICU mortality. Patients admitted to the ICU with gastrointestinal, urogenital, or infectious disorders should have their nutritional condition assessed carefully. According to our study, the rate of intubated patients admitted to the intensive care unit is higher in malnourished patients. This suggests it should be reviewed in clinical settings, particularly in elderly, frail patients and those with numerous comorbidities.

Preoperative controlling nutritional status (CONUT) is a predictor of short-term outcomes in patients with oral cancer

ObjectiveOral cancer impairs mastication and swallowing and worsens the nutritional status of patients; however, preoperative malnutrition is rarely diagnosed and treated. Controlling nutritional status (CONUT) is an indicator of the overall nutritional status. Herein, we aimed to determine the utility of the CONUT score in predicting short-term outcomes in patients with oral cancer. Materials and methodsWe included 85 patients with oral cancer who had undergone surgery between June 2007 and December 2022. Patients with a preoperative CONUT score of ≤2 were classified as the CONUT-low group, whereas those with a CONUT score of ≥3 were classified as the CONUT-high group, and their postoperative hospital stays were compared. In addition, factors associated with prolonged hospitalization were subjected to analysis of covariance (ANCOVA). ResultsThe median postoperative hospital stay for patients in the CONUT-low and CONUT-high groups were 46 (30–60.5, N = 69) and 59 (38–110, N = 16) days, respectively, revealing a significant difference between the two groups (p = 0.033). The relationship between hospital discharge and postoperative hospital stay was evaluated using the Kaplan-Meier method, and a significant difference was detected between the two groups (p = 0.0113). Furthermore, ANCOVA revealed a difference only in CONUT-high/low scores (F = 4.4251, p = 0.039). ConclusionThe preoperative CONUT score could be an independent risk factor for predicting prolonged hospitalization and a useful screening tool for nutritional status.

Controlling Nutritional Status Score as a Predictor for Chronic Obstructive Pulmonary Disease Exacerbation Risk in Elderly Patients.

The Controlling Nutritional Status (CONUT) score is a simple screening tool able to assess poor nutritional status as well as to predict clinical adverse outcomes in different clinical settings. No data are available in older patients with chronic obstructive pulmonary disease (COPD). This study aimed to investigate the CONUT score as a predictor of frequent exacerbations. We retrospectively enrolled 222 patients aged 65 years or older, classified in two groups according to the number of exacerbations (or hospitalizations because AECOPD) during the previous year. The two groups were further divided according to low (<5) or high (≥5) CONUT scores. A total of 67.2% of frequent exacerbators had a high CONUT score. These patients exhibited a significantly higher CAT score, lower FEV1 percentage value, and higher prevalence of severe GOLD stages compared to those with low CONUT. Multivariate analysis showed that a CONUT score ≥ 5 was the best independent predictor (OR 20.740, p < 0.001) of the occurrence of ≥2 exacerbations (or 1 hospitalization) during the previous year. The CONUT score seemed to have a high prognostic value for frequent exacerbations for COPD in older patients. The predictive role of different CONUT score cut-off values needs to be validated in larger COPD populations in future multi-center, prospective clinical studies.

Value of preoperative controlling nutritional status score in prognosis of patients with high-risk factors for early-stage cervical cancer.

To investigate whether the preoperative controlling nutritional status (COUNT) score is a prognostic factor of patients with high-risk factors for early-stage cervical cancer after surgery and concurrent chemoradiotherapy (CCRT). This was a retrospective study. From July 2017 to March 2021, a total of 354 patients with histologically confirmed FIGO stage IB-IIA cervical cancer undergoing surgery and postoperative CCRT were included at Hunan University of Medicine General Hospital, China. According to receiver operating characteristic (ROC) curve analysis, the patients were divided into a low CONUT score (< 3) group and a high CONUT score (≥ 3) group. Overall survival (OS) was used as the primary outcome measure and disease-free survival (DFS) as the secondary outcome measure. Among the 354 patients, 239(67.5%) were included in the low CONUT score group and 115 (32.5%) in the high CONUT score group. The 3, 5 and 10-year OS rates in the low CONUT score group and high CONUT score group were respectively presenting statistically significant differences (p<0.001). The 3, 5 and 10-year DFS rates in the low CONUT score group and in the high CONUT score group were respectively with statistically significant differences (p<0.001). Multivariate Cox regression analysis showed that CONUT score, histological type, PNI and lymph node metastasis were all independent predictors for OS and DFS (all p<0.05). High preoperative CONUT score indicates poor prognosis of patients with high-risk factors for early-stage cervical cancer after surgery and postoperative CCRT. In clinical practice, consolidation chemotherapy is recommended for patients with high CONUT scores.

Prognostic value of Controlling Nutritional Status score for postoperative complications and biochemical recurrence in prostate cancer patients undergoing laparoscopic radical prostatectomy.

Controlling Nutritional Status (CONUT) score was used for screening the preoperative nutritional status. The correlation between the CONUT score and the prognosis of patients with prostate cancer (PCa) has yet to be elucidated. Herein, we analyzed the prognostic value of CONUT scores in patients with PCa who underwent laparoscopic radical prostatectomy. Data of 244 patients were retrospectively evaluated. Perioperative variables and follow-up data were analyzed. The patients were categorized into 2 groups according to their preoperative CONUT scores. Postoperative complication and incontinence rates were also compared. The Kaplan-Meier method was used to estimate the median biochemical recurrence-free survival (BCRFS) between the 2 groups. Univariate and multivariate Cox regression analyses were performed to identify the potential prognostic factors for BCRFS. Patients were categorized into the low-CONUT group (CONUT score <3, n = 207) and high-CONUT group (CONUT score ≥3, n = 37). The high-CONUT group had a higher overall complication rate (40.5% vs.19.3%, p = 0.004), a higher major complication rate (10.8% vs. 3.9%, p = 0.013), and longer postoperative length of stay (8 days vs. 7 days, p = 0.017). More fever, urinary infection, abdominal infection, scrotal edema, rash, and hemorrhagic events (all p values < 0.05) were observed in the high-CONUT group. A higher rate of urinary incontinence was observed in the high-CONUT group at 1 (34.4% vs. 13.2%, p = 0.030) and 3 months (24.1% vs. 8.2%, p = 0.023) postoperatively. The high-CONUT group had shorter medium BCRFS (23.8 months vs. 54.6 months, p = 0.029), and a CONUT score ≥3 was an independent risk factor for a shorter BCRFS (hazards ratio, 1.842; p = 0.026). The CONUT score is a useful predictive tool for higher postoperative complication rates and shorter BCRFS in patients with PCa who undergo laparoscopic radical prostatectomy.

Prognostic value of controlling nutritional status on clinical and survival outcomes in cancer patients treated with immunotherapy

Cancer is a leading cause of death globally. Immunotherapy has shown promise in treating various types of cancer, but its effectiveness varies among patients. The Controlling Nutritional Status (CONUT) score has been linked to the prognosis of different cancers. However, its predictive value for immunotherapy outcomes is not well understood. Our research represents the pioneering meta-study to examine the prognostic value of the CONUT score on cancer patients treated with an immune checkpoint inhibitor (ICI). A comprehensive literature search was conducted using various databases including PubMed, the Cochrane Library, EMBASE, and Google Scholar. The study was conducted until July 28, 2023. This analysis encompassed a comprehensive evaluation of various clinical outcomes, namely overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). 663 patients from 8 studies were included in this study. It showed that cancer patients with high CONUT score had poorer OS (HR: 1.94, 95% CI, 1.52–2.47, p < 0.001) and PFS (HR: 2.22, 95% CI, 1.48–3.31, p < 0.001), as well as worse ORR (OR: 0.46, 95% CI, 0.25–0.85, p = 0.013) and DCR (HR: 0.29, 95% CI, 0.14–0.59, p = 0.001). The CONUT score can predict the prognosis of tumor patients treated with ICIs.

CONUT can be a predictor of postoperative complications after laparoscopic-assisted radical gastrectomy for elderly gastric cancer patients.

Compared with young patients, elderly patients with gastric cancer usually have lower muscle mass, poorer nutritional status, lower immunity, and worse cardiopulmonary function. Therefore, how to improve the prognosis of elderly gastric cancer patients after laparoscopic-assisted radical gastrectomy is the focus and difficulty of clinician. The aim of our study was to investigate the risk factors for postoperative complications of these patients. The data of gastric cancer patients aged ≥ 60 years who underwent laparoscopic-assisted radical gastrectomy were analyzed. Univariate was used to determine the potential risk factors and then multivariate analyses was used to determine the independent risk factors for postoperative complications. Univariate analysis showed that age, preoperative red blood cell (RBC), preoperative albumin (ALB), preoperative C-reactive protein (CRP), preoperative hemoglobin (Hb), preoperative blood transfusion, preoperative lymphocytes, total cholesterol, CRP-to-ALB ratio, controlling nutritional status (CONUT) score, TNM stage were all the potential risk factors for postoperative complications. Binary logistic regression showed that CONUT, age and preoperative RBC were correlated with postoperative complications. For elderly gastric cancer patients after laparoscopic-assisted radical gastrectomy, CONUT, age and preoperative RBC were all the independent risk factors for overall postoperative complications and could be used as reliable indicators for judging the short-term prognosis.

The clinical impacts of the controlling nutritional status score on patients with Hodgkin lymphoma.

The aim of the study was to evaluate the clinical importance and potential mechanisms of controlling nutritional status (CONUT) score as a prognostic tool for Hodgkin lymphoma (HL). Diagnosed with HL, 307 patients were included in the study. Patients' demographic data, stages, B symptoms, extranodal involvement, presence of bulky disease, laboratory findings, treatments, treatment responses, nutritional status, and overall survival (OS) rates were evaluated from the hospital records. The primary endpoint of our study was to evaluate and classify newly diagnosed HL patients under the CONUT score. The secondary endpoint was to indicate any relationship between nutritional status, CONUT score, and other prognostic factors and OS. Of 307 patients (173 males, 134 females), the mean age was 41.58±16.26 (ranging between 18-82 years). The most common type of malignancy was nodular sclerosis (72.53%). To the receiver operating characteristic (ROC) curve analysis, the best cut-off point was 2.5 to predict mortality. Eigthy-five (27.7%) and 222 (72.3%) patients had ≥3 and ≤2 CONUT scores, respectively. Twenty-four (10.80%) and 23 (27.10%) cases were also mortal in the patients with ≤2 and ≥3 CONUT scores, respectively (p<0.001). Survival times were significantly lower in those with higher (≥3) CONUT scores (p<0.001) than among the other patients. Evaluation of nutritional status plays an important role in the response and survival of those with hematological malignancies. Malnutrition can reduce patients' tolerance to chemotherapy and increase the risk of secondary infections. In this study, undernutrition evaluated with the CONUT score was demonstrated to be a potential independent prognostic factor for OS in patients with HL.

Preoperative controlling nutritional status (CONUT) score is an independent prognostic factor in cholangiocarcinoma patients treated with hepatectomy

BackgroundNutritional status is one of the important factors determining the short- and long-term outcomes of surgery in cancer. This study aimed to assess the prognostic role of preoperative controlling nutritional status (CONUT) score in intrahepatic cholangiocarcinoma (iCCA) patients. MethodsA total of 101 iCCA patients who underwent hepatectomy between 2015 and 2018 at the Srinagarind Hospital, Khon Kaen University, were included in this retrospective study. Patients were classified according to the CONUT score. Univariate and multivariate analyses were performed to determine the correlation between clinicopathological features and overall survival. ResultsPatients were categorized into normal nutrition (n = 40 or 39.5%), mild (n = 54 or 53.5%), and moderate-severe malnutrition (n = 7). Patients with high CONUT scores had significantly shorter survival (HR 2.55, 95% CI 1.04–6.25, p = 0.04). In multivariable analysis, tumor size (HR = 2.58, p < 0.01), the growth pattern of mass forming combined with periductal (HR = 4, p < 0.01), lymph node metastasis (HR = 7.20, p < 0.01) and high CONUT score (HR = 4.71, p = 0.01) were independent factors for poor survival of iCCA patients. ConclusionThe preoperative CONUT score is a simple prognostic factor to predict the outcomes of iCCA patients undergoing hepatectomy.

Prognostic role of the controlling nutritional status (CONUT) score in patients with biliary tract cancer: a meta-analysis

Background Previous reports have not reached consistent results regarding the prognostic significance of the controlling nutritional status (CONUT) score in biliary tract cancer (BTC). Therefore, the present meta-analysis was conducted to investigate the precise role of the CONUT score in predicting the prognosis of BTC. Methods Electronic platforms including Web of Science, PubMed, Cochrane Library, and Embase were comprehensively searched up to May 2, 2023. We also determined combined hazard ratios (HRs) and 95% confidence intervals (CIs) to estimate the role of the CONUT score in predicting the prognosis of patients with BTC. Results Ten studies involving 1,441 patients were included in the present study. Nine studies treated patients with surgical resection, and one study used percutaneous transhepatic biliary stenting (PTBS) plus 125I seed intracavitary irradiation. Based on the combined data, a higher CONUT score significantly predicted dismal overall survival (OS) (HR = 1.94, 95%CI = 1.41–2.66, p < 0.001), inferior recurrence-free survival (RFS) (HR = 1.79, 95%CI = 1.48–2.17, p < 0.001) in BTC, and low differentiation (OR = 1.57, 95%CI = 1.15–2.14, p = 0.004). Nonetheless, the CONUT score was not related to sex, lymph node metastasis, microvascular invasion, perineural invasion, distant metastasis, TNM stage, or tumor number in patients with BTC. Conclusion Higher CONUT scores significantly predicted worse OS and RFS in patients with BTC. Moreover, BTC patients with high CONUT scores tended to have poor tumor differentiation. The CONUT score could help clinicians stratify high-risk patients with BTC and devise individualized treatment plans.

High Nutritional Risk Is Associated with Poor Functional Status and Prognostic Biomarkers in Stroke Patients at Admission to a Rehabilitation Unit.

Considering that malnutrition (undernutrition) is common in stroke patients and may negatively impact body function, the aim of this study was to determine the relationship between nutritional risk and functional status in stroke patients at admission to a rehabilitation unit. Nutritional risk was assessed using the Geriatric Nutritional Risk Index (GNRI), the Prognostic Nutritional Index (PNI) and the Controlling Nutritional Status (CONUT) score. Functional status was assessed using the Barthel Index, the modified Rankin Scale, the Trunk Control Test and the Sitting Balance Scale, and cognitive function was assessed using the Short Portable Mental Status Questionnaire. C-reactive protein, fibrinogen and D-dimer were also evaluated as established prognostic biomarkers. Stroke patients (n = 245; age 69.7 ± 12.8 years; 47%, women; 82% ischemic stroke) at admission to a rehabilitation unit were included in this study. A high prevalence of nutritional risk was detected with each tool and was found to be greater using the GNRI and in patients aged ≥75 years. Multiple logistic regression analysis showed that age and dysphagia were independent predictors of high nutritional risk. High risk groups performed worse on all functional tests compared to the low-risk groups (p < 0.05). Nutritional risk with each tool was associated with functional and cognitive statuses (with the highest correlation being with the Trunk Control Test). Significant associations were also found with C-reactive protein, fibrinogen and D-dimer. In conclusion, a high nutritional risk, as evaluated with the GNRI, the PNI and the CONUT score, was detected in stroke patients at admission to a rehabilitation unit. High nutritional risk was associated with functional status and with predictors of clinical outcomes (and specifically in older patients).

Prevalence of Malnutrition and the Value of Predicting Pancreatic Fistula in Patients with Laparoscopic Pancreatoduodenectomy.

Background: Pancreatoduodenectomy is a standard surgical procedure for periampullary tumors. With recent improvements in perioperative management, postoperative mortality has decreased significantly in recent years; however, postoperative pancreatic fistula (POPF) is still one of the most prevalent and dangerous complications. The purpose of this study was to analyze the prevalence of malnutrition and the value of predicting POPF in patients with laparoscopic pancreatoduodenectomy (LPD). Methods: We retrospectively analyzed the perioperative data of 747 patients undergoing LPD in the Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, China. Simultaneously, we analyzed the prevalence rate of malnutrition with three different nutritional assessment scores and explored the independent risk variables for POPF to identify potential predictive value. Results: Malnutrition was observed in 20.1% of patients with the prognostic nutritional index (PNI), 85.0% of patients with the controlling nutritional status (CONUT) score, and 73.1% of patients with the NRI score. Univariate and multivariate analyses all showed that the risk factors for POPF were pancreatic texture, pancreatic duct diameter, abdominal infection, body mass index (BMI), nomogram-revised risk index (NRI), and PNI. The receiver operating characteristic curve indicated that the BMI/PNI ratio was capable of predicting the occurrence of clinical POPF following LPD, with an area under the curve of 0.708. Conclusions: Compared with no malnourished patients, malnutrition is associated with a higher risk of POPF among patients with LPD. In addition, the BMI/PNI ratio has some predictive value in the development of POPF following LPD.