Effects of malnutrition on disease severity and adverse outcomes in idiopathic pulmonary arterial hypertension: a retrospective cohort study.

BACKGROUND: Malnutrition is common in patients with chronic cardiovascular disease and is associated with significantly higher all-cause mortality. Approximately one-third of patients with heart failure are malnourished. However, the relationship between malnutrition and idiopathic pulmonary arterial hypertension (IPAH) remains unclear. This study aimed to clarify the prognostic value of malnutrition in patients with IPAH. METHODS: A total of 432 consecutive participants with IPAH were included in this study between March 2013 and August 2021. Three common malnutrition assessment tools, including the geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status (CONUT) score, were used to evaluate the nutritional status of patients with IPAH. The relationships between the malnutrition tools and long-term adverse outcomes were determined using restricted cubic splines and multivariate Cox regression models. RESULTS: During a mean follow-up of 3.1 years, 158 participants experienced clinical worsening or all-cause death. Patients were stratified into the low-, intermediate- and high-risk groups based on the European Society of Cardiology (ESC) risk stratification, and the PNI (55.9 ± 5.7 vs. 54.4 ± 7.2 vs. 51.1 ± 7.1, P = 0.005) and CONUT score (2.1 ± 0.9 vs. 2.5 ± 1.2 vs. 3.3 ± 1.1, P < 0.001) identified these patient groups better than the GNRI. All three malnutrition tools were associated with well-validated variables that reflected IPAH severity, such as the World Health Organization functional class, 6-min walk distance, and N-terminal pro-brain natriuretic peptide level. The CONUT score exhibited better predictive ability than both the GNRI (ΔAUC = 0.059, P < 0.001) and PNI (ΔAUC = 0.095, P < 0.001) for adverse outcomes and significantly improved reclassification and discrimination beyond the ESC risk score. Multivariable Cox regression analysis indicated that only the CONUT score (hazard ratio = 1.363, 95% confidence interval 1.147, 1.619 per 1.0-standard deviation increment, P < 0.001) independently predicted adverse outcomes. CONCLUSIONS: The malnutrition status was associated with disease severity in patients with IPAH. The CONUT score provided additional information regarding the risk of clinically worsening events, making it a meaningful risk stratification tool for these patients.

The controlling nutritional status score as a new prognostic predictor in patients with cervical cancer receiving radiotherapy: a propensity score matching analysis.

BACKGROUND: As assessment tools of nutritional status, the controlling nutritional status (CONUT) and modified controlling nutritional status (mCONUT) score are associated with survival in various cancers. We aimed to investigate the association between the CONUT/mCONUT score's prognostic value and survival time in patients with FIGO stage IIB-IIIB cervical cancer treated with radiotherapy. METHODS: In this retrospective study, 165 patients between September 2013 and September 2015 were analyzed, and the optimal CONUT/mCONUT score cut-off values were determined using receiver operating characteristic curves. Propensity score matching (PSM) was used to minimize selection bias. The Kaplan-Meier method and a Cox proportional hazard model were used to assess the CONUT/mCONUT score's predictive value linked to survival time. Two nomograms were created to predict the overall survival (OS) and progression-free survival (PFS). RESULTS: The cut-off values for CONUT and mCONUT score were both 2. Five-year OS and PFS rates were higher in a low CONUT score group than in a high CONUT score group (OS: 81.1% vs. 53.8%, respectively, P < 0.001; PFS: 76.4% vs. 48.2%, respectively; P < 0.001). A high CONUT score was associated with decreased OS (hazard ratio (HR) 2.93, 95% CI 1.54-5.56; P = 0.001) and PFS (HR 2.77, 95% CI 1.52-5.04; P < 0.001). High CONUT scores influenced OS in the PSM cohort. A high mCONUT score was not associated with decreased OS and PFS in Cox regression analysis. CONCLUSION: The CONUT score is a promising indicator for predicting survival in patients with cervical cancer receiving radiotherapy.

Impact of Controlling Nutritional Status Score on Comprehensive Clinical Outcomes in Patients With Chronic Limb-Threatening Ischemia in a Local Area of Super-Aged Society.

PURPOSE: This study aimed to evaluate the relationship between nutritional status and hospital outcomes in patients with chronic limb-threatening ischemia (CLTI) in a local area of contemporary super-aged society of Japan. MATERIALS AND METHODS: We analyzed 131 consecutive patients with 179 lower limb diseases admitted to our hospital for the treatment of CLTI between April 2018 and March 2023. These 131 patients were divided into 3 groups according to hospital outcomes: home discharge (HD), out-of-home discharge (OD), and in-hospital death (ID). Patient and lesion backgrounds were compared among the 3 groups, and a multivariable regression analysis was used to analyze the interaction between malnutrition and composite hard endpoints. RESULTS: The median age was 82.8 years, and non-ambulatory patients comprised 61.8% of the study population. The HD group included more ambulatory and fewer patients with higher CONUT score or inflammation than OD or ID group. The Rutherford classification and Wound, Ischemia, and foot Infection stage were significantly more severe in the ID group than in the HD group. Endovascular treatment (EVT) was more often implemented in the HD (94.9%) and OD (81.7%) groups than in the ID group (60.0%). However, all EVT procedures in the ID group were performed until as distally as possible to achieve the target arterial path success contrary to some EVT procedures in the HD or ID group that targeted lesions only above the knee. Multivariate analysis showed that a non-ambulatory state (hazard ratio [HR]=3.65, 95% confidence interval [CI]=1.48-9.02) and a higher controlling nutritional status (CONUT) score (≥5) (HR=7.46, 95% CI=1.66-33.6) were significant predictors for composite endpoints (major amputation or ID). Patients with lower CONUT scores (≤4) showed better outcomes in all indices including overall survival, major amputation-free survival, and wound healing. CONCLUSION: Condition of the CLTI patients represented by higher CONUT score emerged as the most influential predictor of major amputation or ID. Furthermore, non-ambulatory status or condition of higher CONUT score affects the destination after discharge. Implementing multidisciplinary approaches to address patients' nutritional state and physical disability, in addition to revascularization, may enhance comprehensive prognoses in patients with CLTI. CLINICAL IMPACT: In this single-center retrospective study, we analyzed prognoses of 131 consecutive patients with 179 lower limb diseases admitted for the treatment of chronic limb-threatening ischemia (CLTI) between April 2018 and March 2023. Our main finding was that condition of the CLTI patients represented by higher controlling nutritional status (CONUT) score was the most significant predictor of either major amputation or in-hospital death. Furthermore, condition of higher CONUT score or non-ambulatory status affects the destination after discharge. This suggests that multidisciplinary approaches to address patients' nutritional state and physical disability, in addition to revascularization, may enhance the prognosis in patients with CLTI. This is the first report to evaluate nutritional status associated with comprehensive hospital outcomes in addition to previously reported hard endpoints, such as major amputation or overall survival, and will be of great help in future clinical practice.

Prognostic impact of CONUT score in older patients with chronic heart failure.

BACKGROUND: Malnutrition is common in older patients with chronic heart failure (HF) and often accompanies a deterioration of their condition. The Controlling Nutritional Status (CONUT) score is used as an objective indicator to evaluate nutritional status, but relevant research in this area is limited. This study aimed to report the prevalence, clinical correlates, and outcomes of malnutrition in elder patients hospitalized with chronic HF. METHODS: A retrospective analysis was conducted on 165 eligible patients admitted to the Department of Cardiology at Huadong Hospital from January 2021 to December 2022. Patients were categorized based on their CONUT score into three groups: normal nutrition status, mild risk of malnutrition, and moderate to severe risk of malnutrition. The study examined the nutritional status of this population and its relationship with clinical outcomes. RESULTS: Findings revealed that malnutrition affected 82% of the older patients, with 28% experiencing moderate to severe risk. Poor nutritional scores were significantly associated with prolonged hospital stay, increased in-hospital mortality and all-cause mortality during readmissions within one year (P < 0.05). The multivariable analysis indicated that moderate to severe malnutrition (CONUT score of 5-12) was significantly associated with a heightened risk of prolonged hospitalization (aOR: 9.17, 95%CI: 2.02-41.7). CONCLUSIONS: Malnutrition, as determined by the CONUT score, is a common issue among HF patients. Utilizing the CONUT score upon admission can effectively predict the potential for prolonged hospital stays.

Controlling nutritional status score in the prediction of cardiovascular disease prevalence, all-cause and cardiovascular mortality in chronic obstructive pulmonary disease population: NHANES 1999-2018.

BACKGROUND: Malnutrition is prevalent in chronic obstructive pulmonary disease (COPD) and associated with adverse outcomes, while COPD is intricately linked to cardiovascular disease (CVD), sharing common risk factors. The controlling nutritional status (CONUT) score, a promising tool for assessing malnutrition, warrants investigation into its predictive ability for cardiovascular disease prevalence and mortality in COPD patients. METHODS: Based on the National Health and Nutrition Examination Survey (NHANES), this study analyzed 1501 adult COPD patients from 1999 to 2018. The endpoints were CVD prevalence, mortality related to CVD, and overall mortality. We evaluated the correlation of the CONUT score with each outcome using logistic regression and Cox regression models. The prognostic evaluation of patients was conducted using Kaplan-Meier curves in accordance with the CONUT score. We formed the receiver operating characteristic (ROC) curves for evaluating the CONUT score's discriminative capability. RESULTS: The prevalence of malnutrition was 21.31% in COPD populations. Logistic analyses suggested a distinct connection between the CONUT score and CVD prevalence (OR:1.86, 95%CI:1.28-2.70) in individuals with COPD. The CONUT score demonstrated a significant correlation with a heightened risk of CVD mortality (HR: 1.86, 95%CI: 1.27-2.74) and overall mortality (HR: 1.50, 95%CI: 1.18-1.91). The prognostic outcomes might be effectively discriminated by the CONUT score, as seen by the Kaplan-Meier curves. CONCLUSIONS: In summary, the CONUT score provides an uncomplicated and readily attainable marker for forecasting CVD prevalence, total mortality, and mortality from CVD among COPD patients.

Associations of Preoperative Nutritional Status and Sarcopenia With Mortality in Patients With Abdominal Aortic Aneurysm After Open and Endovascular Abdominal Aortic Aneurysm Repair: A Retrospective Study.

OBJECTIVE: The effect of preoperative malnutrition and sarcopenia on outcomes in patients with abdominal aortic aneurysm (AAA) after open surgical repair (OSR) and endovascular abdominal aortic aneurysm repair is undefined. The authors conducted the study to address this issue in this population. DESIGN: A retrospective observational study. SETTING: A large tertiary hospital. PARTICIPANTS: Patients with AAA who underwent OSR and endovascular aneurysm repair (EVAR). INTERVENTIONS: Evaluation of nutritional status (Nutritional Risk Screening 2002 [NRS 2002] and the Controlling Nutritional Status [CONUT] scores), muscle size (skeletal muscle index), and postoperative parameters. MEASUREMENTS AND MAIN RESULTS: A total of 199 patients were reviewed from January 2020 to December 2022. Patients weew categorized into group A (CONUT <4) and group B (CONUT ≥4) based on whether their CONUT scores were less than 4. The mortality (p = 0.004) and the incidence of Clavien-Dindo class III complications (p = 0.007) in group B were higher than those in group A. CONUT score was an independent risk factor for midterm mortality (hazard ratio 1.329; 95% CI, 1.104-1.697; p = 0.002) and Clavien-Dindo class III complications (odds ratio 1.225; 95% CI, 1.012-1.482; p = 0.037) according to univariate and multivariate analyses, whereas NRS 2002 score and sarcopenia were not. Kaplan-Meier curves showed a lower midterm survival rate in group B (log-rank p < 0.001). CONCLUSION: In patients with AAA undergoing OSR or EVAR, a CONUT score ≥4 was associated with increased Clavien-Dindo class III complications and mortality. Preoperative nutritional status should be evaluated and optimized in this high-risk population.

Association between nutritional scores and multilevel vertebral involvement in tubercular spine: a retrospective cohort study.

OBJECTIVE: The objective of this study is to evaluate the prognostic value of nutritional scores comprising the Controlling Nutritional Status (CONUT) score and the Prognostic Nutritional Index (PNI), in prediction of multilevel vertebral involvement (> 2 vertebra) in Spinal Tuberculosis (STB). METHODS: Retrospective analysis of 39 STB patients was conducted to assess nutritional indices (CONUT and PNI) and the numbers of vertebral affection. Spearman's correlation was used to examine the association between these variables. Receiver Operating Characteristic (ROC) curves were utilized to determine optimal cutoff values, with Area Under the Curve (AUROC) evaluation. Additionally, multiple logistic regression was performed as a predictive model. RESULTS: There were 24 males and 15 females, with a mean BMI of 18.88 kg/m² (± 1.37). Spearman's correlation analysis revealed negative correlations between BMI, PNI (rho - 0.68, p < 0.001) and multilevel vertebra involvement, while ESR (rho 0.83, p < 0.001), CRP (rho 0.81, p < 0.001), and CONUT score (rho 0.83, p < 0.001) positively correlated with multilevel vertebral affection (> 2 vertebra). Age and comorbidities showed no correlation with the level of vertebral affection. ROC analysis revealed a CONUT Score ≥ 3 cutoff (sensitivity-95.7%, specificity-87.5%) and PNI ≤ 38.605 (sensitivity-78.3%, specificity-93.8%) for predicting multilevel STB (> 2). PNI exhibited superior specificity and positive predictive value where as CONUT score was a better parameter for sensitivity, negative predictive value and diagnostic accuracy. Both CONUT score and PNI were significant predictors of vertebral involvement in univariate analysis, with multivariate analysis identifying CONUT score as the sole predictor of multilevel vertebral affection. CONCLUSION: Nutritional scores, including CONUT score and PNI, emerged as significant predictors of multilevel STB. CONUT score displayed superior sensitivity, negative predictive value, and overall diagnostic accuracy, while PNI served as a nutritional marker with high specificity and positive predictive value in predicting multilevel involvement in spinal tuberculosis.

Prognostic and clinicopathological value of the controlling nutritional status (CONUT) score in patients with head and neck cancer: a meta-analysis.

BACKGROUND: The efficiency of controlling nutritional status (CONUT) score in detecting the prognosis of head and neck cancer (HNC) patients has been investigated in some works, but no consistent findings are obtained. Therefore, this work focused on evaluating the precise prognostic role of CONUT for HNC patients through meta-analysis. METHODS: The effect of CONUT on predicting the prognosis of HNC patients was evaluated through calculating combined hazard ratios (HRs) as well as 95% confidence intervals (CIs). The correlations of CONUT with clinicopathological features of HNC patients were investigated through combined odds ratios (ORs) and 95%CIs. This study used the random-effects model in the case of significant heterogeneity; or else, we selected the fixed-effects model. RESULTS: There were eight articles involving 1,478 patients enrolled for the current meta-analysis. We adopted the fixed-effects model for OS and DFS analysis because of the non-significant heterogeneity. As demonstrated by our combined findings, high CONUT score could significantly predict the poor overall survival (OS) (HR = 1.94, 95%CI = 1.55-2.44, p < 0.001) and disease-free survival (DFS) (HR = 1.93, 95%CI = 1.45-2.56, p < 0.001) of HNC. In addition, higher CONUT score was significantly connected to T3-T4 stage (OR = 3.21, 95%CI = 1.94-5.31, p < 0.001) and N1-N3 stage (OR = 3.10, 95%CI = 1.74-5.53, p < 0.001). CONCLUSION: According to findings in the present meta-analysis, high CONUT score significantly predicted the prognosis of OS and DFS for HNC patients. Higher CONUT score was also correlated to larger tumor size and LN metastasis in HNC. Due to it is a cost-effective and easily available parameter, CONUT could serve as promising prognostic biomarker for HNC.

Prognostic value of combined psoas muscle mass and controlling nutritional status in patients with pancreatic ductal adenocarcinoma: a retrospective cohort study.

BACKGROUND: Pancreatic ductal carcinoma (PDAC) is an extremely poor prognostic disease. Even though multidisciplinary treatment for PDAC has developed, supportive therapies, such as nutritional therapy or perioperative rehabilitation to sustain and complete aggressive treatment, have not yet been well-established in PDAC. The aim of this study was to elucidate the relationship between the combined index using psoas muscle mass index (PMI) values and controlling nutritional status (CONUT) score and prognosis. METHODS: We included 101 patients diagnosed with PDAC who underwent radical pancreatectomy with regional lymphadenectomy. The cut-off value was set at the first quartile (male, 6.3 cm2/m2; female 4.4 cm2/m2), and patients were classified into high PMI and low PMI groups. A CONUT score of 0 to 1 was classified as the normal nutritional status group, and 2 or more points as the malnutritional status group. Patients were further divided into three groups: high PMI and normal nutrition (good general condition group), low PMI and low nutrition (poor general condition group), and none of the above (moderate general condition group). We performed a prognostic analysis of overall survival (OS), stratified according to PMI values and CONUT scores. RESULTS: In the poor general condition group, the proportion of elderly people over 70 years of age was significantly higher than that in the other groups (p < 0.001). The poor general condition group had a significantly worse prognosis than the good and moderate general condition groups (p = 0.012 and p = 0.037). The 5-year survival rates were 10.9%, 22.3%, and 36.1% in the poor, moderate, and good general condition groups, respectively. In multivariate analysis, poor general condition, with both low PMI and malnutrition status, was an independent poor prognostic factor for postoperative OS (hazard ratio 2.161, p = 0.031). CONCLUSIONS: The combination of PMI and CONUT scores may be useful for predicting the prognosis of patients with PDAC after radical surgery.

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

Objective: 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). Methods: 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. Results: 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). Conclusion: 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.

Comparison of the effectiveness of chemotherapy combined with immunotherapy and chemotherapy alone in advanced biliary tract cancer and construction of the nomogram for survival prediction based on the inflammatory index and controlling nutritional status score.

OBJECTIVE: To analyze the effectiveness of combining immune checkpoint inhibitors (ICIs) with first-line therapy in patients with advanced biliary tract cancer (BTC) and explore the biomarkers affecting the prognosis of immunotherapy, to construct a nomogram for the prediction of survival. METHODS: A retrospective study was conducted to include a total of 209 patients with advanced BTC treated in the first line from 2018 to 2022, divided into a combination therapy group (n = 129) and a chemotherapy-only group (n = 80) according to whether ICIs were applied in combination. Univariate and multifactorial COX regression analyses were performed on variables that may affect prognosis to identify independent influences on patient prognosis, and this was used to create nomograms, which were then prospectively validated and calibrated. RESULTS: The median progression-free survival (mPFS) and median overall survival (mOS) of patients in the combination therapy group were higher than those in the chemotherapy alone group [hazard ratio (HR) = 1.152, 95% confidence interval (CI): 0.7848-1.692, p = 0.0004, and HR = 1.067, 95% CI: 0.7474-1.524, p = 0.0016]. The objective response rate (ORR) of patients in the combination therapy and chemotherapy alone groups was 39.5% (51/129) vs. 27.5% (22/80), and the disease control rate (DCR) between the two groups was 89.9% (116/129) vs. 83.8% (67/80). Univariate analysis revealed the gender, presence of long-term tobacco and alcohol, degree of histological differentiation, serum albumin level, presence of liver metastases, presence of multi-visceral metastases, response, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), glycoprotein antigen 19-9 (CA19-9), systemic inflammatory index (SII), and controlling nutritional status (CONUT) scores were statistically significant with patient prognosis (all P values < 0.05). Multi-factor COX regression analysis was continued for the above variables, and the results showed that NLR, MLR, PLR, SII, and CONUT scores were independent influences on patients' OS (all p values < 0.05). A nomogram (C-index 0.77, 95% CI: 0.71-0.84) was created based on these independent influences and later validated using a validation cohort (C-index 0.75, 95% CI: 0.68-0.81). The time-dependent receiver operator characteristic curve (ROC) showed that the area under curve (AUC) of the training cohort patients at 12, 18, and 24 months was 0.72 (95% CI: 0.63-0.81), 0.75 (95% CI: 0.67-0.85), and 0.77 (95% CI: 0.66-0.87) and the AUC of the validation cohort was 0.69 (95% CI: 0.58-0.79), 0.74 (95% CI: 0.65-0.87), and 0.71 (95% CI: 0.64-0.89), respectively. Finally, calibration was performed using calibration curves, and the results showed that nomograms based on inflammatory metrics and CONUT scores could be used to assess survival (12, 18, and 24 months) in patients with advanced BTC treated with ICIs in the first line. CONCLUSION: Patients with advanced BTC benefit more from first-line treatment with standard chemotherapy in combination with ICIs than with chemotherapy alone. In addition, nomograms based on inflammatory metrics and CONUT scores can be used to predict survival at 12, 18, and 24 months in patients with advanced BTC treated with ICIs.

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

BACKGROUND: Although 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. METHODS: In 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). RESULTS: The 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). CONCLUSIONS: In 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.

The prognostic value of controlling nutritional status (CONUT) score-based nomogram on extranodal natural killer/T cell lymphoma patients.

Controlling nutritional status (CONUT) score as an original nutritional assessment tool can be used to assess the prognosis of patients with a variety of malignancies. However, the predictive power of CONUT in extranodal natural killer/T cell lymphoma (ENKTL) patients has never been demonstrated. Our retrospective multicenter study aimed to explore the prognostic value of CONUT in newly diagnosed ENKTL. A total of 1085 newly diagnosed ENKTL patients between 2003 and 2021 were retrospectively retrieved. Cox proportional hazard model was used to explore the prognostic factors of overall survival (OS). The survival rate of ENKTL was evaluated using Kaplan-Meier analysis, and log-rank test was applied to the difference between groups. We investigated the prognostic performance of CONUT, the International Prognostic Index (IPI), the Korean Prognostic Index (KPI), and the Prognostic Index of Natural Killer Cell Lymphoma (PINK) using the receiver operating characteristic (ROC) curve and decision curve analysis (DCA). The median age at diagnosis for the whole cohort was 47 years, and the male to female ratio was 2.2:1. The 5-year OS for all patients was 72.2%. Multivariable analysis showed that CONUT, age, bone marrow involvement, ECOG PS score, and Chinese Southwest Oncology Group and Asia Lymphoma Study Group ENKTL stage were identified as independent predictive factors for OS. Based on multivariable results, a prognostic nomogram was developed. Subgroup analysis demonstrated that patients with severe malnutrition had poorest clinical outcome. In addition, ROC curves and DCA analysis proved that compared with IPI, KPI, and PINK models, the CONUT score-based nomogram showed a better prognostic predictive efficiency of ENKTL. CONUT could effectively stratify the prognosis of ENKTL and the proposed nomogram based on CONUT was an effective prognostic model for prediction.

Assessing the Predictive Value of Different Nutritional Indexes for Contrast-Associated Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Intervention.

BACKGROUND: The link between malnutrition and poor prognosis in cardiovascular disease has been established but the association between malnutrition and contrast-associated acute kidney injury (CA-AKI), a common complication of coronary procedures, remains poorly understood. In this study we investigated the predictive value of 3 nutritional indexes for CA-AKI in patients undergoing percutaneous coronary intervention (PCI).Methods and Results: The study included a total of 6,049 consecutive patients undergoing PCI between May 2012 and September 2020, among whom 352 (5.8%) developed CA-AKI. We used the Controlling Nutritional Status (CONUT) score, the Geriatric Nutritional Risk Index (GNRI), and the Prognostic Nutritional Index (PNI) to assess the association between malnutrition risk and CA-AKI after PCI. Multivariate logistic regression analysis revealed that malnutrition, as identified by GNRI and PNI, was significantly associated with a higher risk of CA-AKI (moderate-severe malnutrition in GNRI: odds ratio [OR]=1.92, [95% confidence interval (CI), 1.27-2.85]; malnutrition in PNI: OR=1.87, [95% CI, 1.39-2.50]), whereas the CONUT score did not demonstrate a significant difference (P>0.05). Furthermore, GNRI (∆AUC=0.115, P<0.001) and PNI (∆AUC=0.101, P<0.001) exhibited superior predictive ability than the CONUT score for CA-AKI and significantly improved reclassification and discrimination in the fully adjusted model. CONCLUSIONS: Malnutrition, especially identified by the GNRI and PNI, was associated with a higher risk of CA-AKI after PCI. GNRI and PNI performed better than the CONUT score in predicting CA-AKI.

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

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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 Ability of Nutritional Indices for Outcomes of Bladder Cancer: A Systematic Review and Meta-Analysis.

BACKGROUND: Nutrition has become an important parameter influencing the prognosis of several cancers. However, its impact on outcomes for bladder cancer (BC) is still unclear. This review examines the association between three commonly used nutritional indices, namely, the prognostic nutritional index (PNI), controlling nutritional status (CONUT), and the geriatric nutritional risk index (GNRI) and outcomes of BC. METHODS: PubMed, CENTRAL, Scopus, Web of Science, Embase, and Google Scholar were explored for studies published up to April 13, 2023. Data from studies were pooled to examine the association between PNI, CONUT, or GNRI and overall survival (OS) and recurrence-free survival (RFS). RESULTS: Thirteen studies were included. Meta-analysis demonstrated significantly poor OS with low PNI versus high PNI in BC patients (hazard ratio [HR]: 1.71; 95% confidence interval [CI]: 1.37, 2.14; I2 = 0%). This result remained significant in various subgroup analyses. However, no association was noted between PNI and RFS (HR: 1.22; 95% CI: 0.67, 2.24; I2 = 84%). Meta-analysis showed that patients with high CONUT scores had significantly poor OS (HR: 2.43; 95% CI: 1.82, 3.25; I2 = 0%) as well as RFS (HR: 2.90; 95% CI: 2.10, 4.01; I2 = 0%). Data on GNRI were scarce and conflicting. CONCLUSION: Limited data show that PNI and CONUT are predictive of outcomes in BC. Low PNI was associated with poor OS, while high CONUT was associated with poor OS and RFS. Data on GNRI are too scarce to obtain conclusions. Further studies are needed to supplement the results.

Evaluation of three nutritional indices as predictors of 2-year mortality and major amputation in patients with chronic limb-threatening ischemia.

OBJECTIVE: The present study aimed to examine which nutritional index, such as the controlling nutritional status (CONUT), prognostic nutritional index (PNI), and geriatric nutritional risk index (GNRI), is better for predicting prognosis in patients with chronic limb-threatening ischemia (CLTI) following revascularization. METHOD: We retrospectively analyzed data of patients who underwent revascularization for CLTI between 2008 and 2020. The endpoints were 2-year overall survival and limb salvage. The optimal cutoff values of 2-year overall survival and major amputation were determined by receiver operating characteristic curve analyses. RESULT: A total of 238 patients with CLTI and 289 limbs were analyzed. The 2-year overall survival rates were 48.9%, 54.6%, and 53.5% in patients with CONUT score ≥4, PNI score <42.6, and GNRI <98.4 compared with 80.0%, 80.0%, and 78.4% in patients with CONUT score <4, PNI score ≥42.6, and GNRI ≥98.4 (p < 0.01). Age, non-ambulatory status, hemodialysis, and nutritional indices were independent risk factors for 2-year mortality in the multivariate analyses. The 2-year limb salvage rates were 70.1%, 82.2%, and 81.9% in patients with CONUT score ≥7, PNI score <41.9, and GNRI <95.3 compared with 92.8%, 98.3%, and 94.2% in patients with CONUT score <7, PNI score ≥41.9, and GNRI ≥95.3 (p < 0.01). Wound, ischemia, and foot infection stage and each nutritional index (CONUT and PNI) were independent risk factors for major amputation in multivariate analyses. The overall survival and limb salvage rates of patients with malnutrition diagnosed by CONUT score were poor compared with those of normal nutrition or malnutrition diagnosed by PNI and/or GNRI scores. CONCLUSION: The CONUT, PNI, and GNRI scores can predict the 2-year overall survival in patients with CLTI after revascularization. The CONUT and PNI scores were associated with major amputation.

Associations among Preoperative Malnutrition, Muscle Loss, and Postoperative Walking Ability in Intertrochanteric Fractures: A Retrospective Study.

Sarcopenia and malnutrition are increasing in older adults and are reported risk factors for functional impairment after hip fracture surgery. This study aimed to investigate the associations between skeletal muscle mass loss, malnutrition, and postoperative walking ability in patients with hip fracture. We retrospectively reviewed patients who underwent intertrochanteric fracture surgery at our institute. The psoas muscle index, controlling nutritional status score, and functional ambulation category (FAC) were used to evaluate skeletal muscle mass, nutritional status, and walking ability, respectively. Six months after surgery, walking ability was assessed as either "gait disturbance" or "independent gait". Multivariate binomial logistic regression analysis, with skeletal muscle mass, nutritional status, and other factors, was used to predict the risk of being assigned to the gait disturbance group. This study included 95 patients (mean age, 85.2 years; 70 women). Sixty-six patients had low skeletal muscle mass, 35 suffered from malnutrition, and 28 had both. Malnutrition and low skeletal muscle mass were significantly associated with postoperative gait disturbance (FAC < 3). Preoperative low skeletal muscle mass and malnutrition were risk factors for postoperative poor walking ability. Further preventive interventions focusing on skeletal muscle mass and nutritional status are required.

Which preoperative immunonutritional index best predicts postoperative mortality after palliative surgery for malignant bowel obstruction in patients with late-stage cancer? A single-center study in Japan comparing the modified Glasgow prognostic score (mGPS), the prognostic nutritional index (PNI), and the controlling nutritional status (CONUT).

PURPOSE: To compare the utility of preoperative immunonutritional parameter measures for predicting postoperative mortality following palliative surgery (PS) for malignant bowel obstruction (MBO) in patients with late-stage cancer. METHODS: The subjects of this retrospective study were 83 late-stage cancer patients with MBO who underwent PS between January, 2005 and December, 2018, at a single institution in Japan. We compared the modified Glasgow prognostic score (mGPS), the prognostic nutritional index (PNI), and the controlling nutritional status (CONUT) for predicting postoperative mortality following PS in these patients. RESULTS: The most prevalent cancer in the patients who underwent PS was colorectal cancer (54.2%), followed by gastric cancer (24.1%). Postoperative complications of Clavien-Dindo classification grade ≥ 2 developed in 32 (38.6%) patients and stoma-related complications developed in 26 (31.3%) patients. There were 15 (18.1%) patients with 60-day mortality, 22 (26.5%) with 90-day mortality, and 4 (4.8%) with 30-day mortality. Multivariable analysis identified only mGPS as being associated with 60-day mortality (odds ratio, 9.387; 95% confidence interval, 0.001-4.478; p = 0.049). The overall survival of patients with a mGPS score of 2 was significantly worse than that of those with a mGPS score of < 2 (p = 0.013). CONCLUSIONS: These results suggest that the mGPS is a good predictor not only of 60-day mortality, but also of the overall survival of patients with late-stage cancer and MBO.

Association of Pre-procedural Nutritional Indicators with Periprocedural Myocardial Infarction in Patients Undergoing Elective Percutaneous Coronary Intervention.

Nutritional risk is closely related to the poor prognosis of hospitalized patients. However, the association of pre-procedural nutritional risk with periprocedural myocardial infarction (PMI) after percutaneous coronary intervention (PCI) remains unclear.A total of 22,267 patients who underwent elective PCI were enrolled in this retrospective cross-sectional study. Nutritional risk was evaluated by three nutritional risk assessment tools, namely, controlling nutritional status (CONUT), prognostic nutritional index (PNI), and geriatric nutritional risk index (GNRI). PMI after PCI was defined as elevation of cardiac troponin I (cTnI) values > 5 × 99th percentile upper reference limit. Linear regression analysis was performed to explore the association of nutritional risk assessment tools with cTnI fold elevation. Log-binomial regression analysis was conducted to determine the association of nutritional risk assessment tools with PMI.The average age of the enrolled patients was 66.4 years old, and 2,647 of them (11.9%) suffered PMI after PCI. Multivariable linear regression analysis determined a linear association between nutritional risk assessment tools and cTnI fold elevation (CONUT: ß = 0.220, 95% CI [0.088-0.352], P = 0.001; PNI: ß = -0.105, 95% CI [-0.146 to -0.065], P < 0.001; GNRI: ß = -0.090, 95% CI [-0.122 to -0.057], P < 0.001). Log-binomial regression analysis showed that nutritional risk assessment tools were strongly associated with PMI after PCI (CONUT [4-12 versus 0-1]: RR = 1.168, 95% CI [1.054-1.295], P = 0.003; PNI [< 44 versus ≥ 52]: RR = 1.168, 95% CI [1.038-1.315], P = 0.010; GNRI [< 98 versus ≥ 108]: RR = 1.128, 95% CI [1.006-1.264], P = 0.039).Pre-procedural nutritional status, assessed by CONUT, PNI, and GNRI, was significantly and strongly associated with PMI in patients undergoing elective PCI.