Controlling Nutritional Status Research Articles

Surgical interventions of colon cancer

Colon cancer is most common type of malignancies all over the world. Various risk factors including genetic mutations,old age,family history, smoking, drinking excessively, poor diet and several others are associated with increasing cases of colorectal carcinoma(CRC). Diagonosis is usually made by colonoscopy and and confirmed by tissue biopsy. After diagonosis delay to treatment can worsen the disease progression and long-term outcome.Treatment options for CRC include surgical resection either open or laparoscopic both with their merits and demerits. Laparoscopic resection have been well accepted for treatment and is known to result in less hospitalisation and blood loss while open surgery still has same overall survival rate, morbidity and mortality. Surgical treatment is associated with postoperative complications including port site metastases, surgical site infections (SSIs),Adhesions, intestinal obstruction, venous thromboembolic events, colonic ischemia, these complications can be decreased by preoperative assessment, intraoperative care and postoperative interventions. Controlling nutritional status (COUNT) score is prognostic factor of postoperative complications and mortality of patients with CRC. 5-years survival rate has increased upto 70% due to improved treatment modalities.

The Relationship between Neutrophil-Lymphocyte Ratios with Nutritional Status, Risk of Nutritional Indices, Prognostic Nutritional Indices and Morbidity in Patients with Ischemic Stroke.

Background: In recent years, whole blood parameters and derivatives have been used as prognostic criteria in the course of various diseases. The aim of this study was to evaluate the relationship between parameters such as the neutrophil-lymphocyte ratio (NLR), the systemic immune-inflammation index (SII), the prognostic nutritional index (PNI), controlling nutritional status (CONUT) score, nutritional risk index (NRI) and immunonutrition status and disease activity in patients with ischemic stroke of the small-vessel, large-vessel and other etiologies. Methods: We retrospectively evaluated the records of 1454 consecutive ischemic stroke patients hospitalized in the emergency department of Gaziosmanpasa Education and Research Hospital from 2019 to 2023. Results: Of the 1350 patients with ischemic stroke included in the study, 58.8% had small-vessel disease, 29.3% had large-vessel disease and 11.9% had other etiologies. There was a significant difference between the three etiology groups for PNI and CONUT. The mean of PNI was 47.30 ± 8.06 in the other etiology group, 37.25 ± 7.23 in the small-vessel group, and 34.78 ± 8.16 in the large-vessel disease group. The mean of CONUT was 5.49 ± 1.20 in the small-vessel group, 5.12 ± 1.46 in the large-vessel group and 4.22 ± 1.11 in the other etiology group. In addition, CONUT and PNI were also found to be independent risk factors for mortality. A negative significant correlation was observed between PNI and NLR (r: -0.692), SII (r: -0.591), and CONUT (r: -0.511). Significant correlations were observed between CONUT and NLR (r: 0.402), SII (r: 0.312). Conclusions: PNI, CONUT and NRI were found as more accurate prognostic indicators of nutritional status in patients with ischemic stroke. NLR and SII may be important predictive markers in the course and prognosis of stroke.

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

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. 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. 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). The combination of PMI and CONUT scores may be useful for predicting the prognosis of patients with PDAC after radical surgery.

Controlling Nutritional Status (CONUT) Score is Associated with Overall Survival in Patients with Hepatocellular Carcinoma Treated with Conventional Transcatheter Arterial Chemoembolization: A Propensity Score Matched Analysis.

This study aims to evaluate the prognostic value of controlling nutritional status (CONUT) score in determining the prognosis of patients with hepatocellular carcinoma (HCC) treated with conventional transcatheter arterial chemoembolization (cTACE). This study retrospectively analyzed 936 patients who underwent cTACE for HCC between January 2012 and December 2018, and divided them into two groups based on their CONUT score. To balance the bias in baseline characteristics, propensity score matched (PSM) analysis was conducted. The Kaplan-Meier method was used to establish a cumulative survival curve, and the log-rank test was employed to determine differences in overall survival (OS) and progression-free survival (PFS) among the CONUT score groups. Furthermore, the Cox proportional hazard model was employed to assess the correlation between CONUT score and OS and PFS, whereby hazard ratios (HRs) and 95% confidence intervals (95% CIs) were computed. Before PSM, the median OS for the low (≤ 3) and high (≥ 4) CONUT group (558 vs. 378 patients) was 21.7 and 15.6months, respectively, and the median PFS was 5.7 and 5months. Following PSM, both the low and high CONUT score groups comprised 142 patients. The low CONUT score group exhibited a significantly longer OS compared to the high CONUT score group, as determined by the log-rank test (median OS 22.2 vs. 17.0months, P = 0.014). No significant association was observed between CONUT group and PFS (median PFS 6.4 vs. 4.7months, log-rank test, P = 0.121). Cox proportional hazard regression analysis revealed that a CONUT score of ≥ 4 was an independent risk factor for OS in patients with HCC who underwent cTACE (HR = 1.361; 95% CI: 1.047-1.771; P = 0.022). These findings were consistent across most subgroup analyses. A high CONUT score has been found to be a prognostic factor for poorer OS in patients with HCC who underwent cTACE. Level 3, Non-randomized controlled cohort.

Factors influencing the therapeutic failure of high-flow nasal cannula oxygen humidification in patients with interstitial pneumonia complicated by respiratory failure.

The aim of this study was to explore the factors influencing the treatment failure of high-flow nasal cannula (HFNC) therapy in patients with interstitial pneumonia (IP) complicated by respiratory failure. A total of 158 patients with IP and respiratory failure treated with HFNC in our hospital from January 2020 to August 2023 were selected as the study population. Based on treatment efficacy, they were categorized into the HFNC treatment failure group and the HFNC treatment success group. Clinical data were compared between the two groups. Multiple logistic regression analysis was employed to identify independent factors influencing treatment failure, and the predictive value of these factors for HFNC treatment failure was assessed using receiver operating characteristic (ROC) curve analysis. After 7 days of HFNC treatment, among the 158 patients with IP and respiratory failure, 25 (15.8%) declared treatment failure, while the remaining 133 (84.2%) showed treatment success. Patients in the HFNC treatment failure group had significantly higher age, duration of IP, pre-treatment respiratory rate, C-reactive protein (CRP), and controlling nutritional status (CONUT) scores compared to the HFNC treatment success group. The PaO2/FiO2 ratio, left ventricular ejection fraction, and Glasgow Coma Scale (GCS) were significantly lower in the HFNC treatment failure group (p<0.05). Multiple logistic regression analysis revealed that pre-treatment PaO2/FiO2 ratio, CRP, CONUT, and GCS scores were independent factors influencing HFNC treatment failure in patients with IP and respiratory failure (p<0.05). Lower PaO2/FiO2 ratio and GCS scores, and higher CRP and CONUT scores were associated with an increased risk of HFNC treatment failure. ROC curve analysis indicated that pre-treatment PaO2/FiO2 ratio, CRP, CONUT, and GCS scores in patients with IP and respiratory failure had a high predictive value for HFNC treatment failure (p<0.05). The HFNC failure rate in patients with IP and respiratory failure is 15.8%. Pre-treatment PaO2/FiO2 ratio, CRP, CONUT, and GCS scores are independent factors associated with HFNC treatment failure and warrant clinical attention.

Association of the Controlling Nutritional Status (CONUT) score with all-cause and cause-specific mortality in patients with diabetic kidney disease: evidence from the NHANES 2009–2018

ObjectiveTo investigate the association between the Controlling Nutritional Status (CONUT) score and all-cause and cause-specific mortality in patients with diabetic kidney disease (DKD).DesignA retrospective cohort study.Setting and participantsData on patients...

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.

Comparative analysis of four nutritional scores in predicting adverse outcomes in biopsy-confirmed diabetic kidney Disease.

Malnutrition is associated with adverse outcomes in patients with diabetic kidney disease (DKD). However, it is uncertain which nutritional assessment tools are most effective in predicting the adverse outcomes of DKD. This retrospective study was conducted at a single center and included 367 patients diagnosed with DKD based on biopsy results between August 2009 and December 2018. Four nutritional assessment indices, namely the Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI), and Controlling Nutritional Status (CONUT) score, were selected and calculated. We aimed to assess the association between these nutritional scores and adverse outcomes, including progression to end-stage kidney disease (ESKD), cardiovascular diseases events (CVD), and all-cause mortality. Univariate and multivariate Cox regression analyses, Kaplan-Meier analysis, along with Restricted cubic spline analysis were used to examine the relationship between nutritional scores and adverse outcomes. Furthermore, the area under the curve (AUC) was calculated using time-dependent receiver operating characteristics to determine the predictive value of the four nutritional scores alone and some combinations. Lastly, ordered logistic regression analysis was conducted to explore the correlation between the four nutritional scores and different renal histologic changes. The incidence of ESKD, CVD, and all-cause mortality was significantly higher in patients with DKD who had a lower PNI, lower GNRI, and higher CONUT score. Additionally, The TCBI performed the worst in terms of grading and risk assessment. The PNI offer the highest predictive value for adverse outcomes and a stronger correlation with renal histologic changes compared to other nutritional scores. Patients diagnosed with DKD who have a worse nutritional status are more likely to experience higher rates of adverse outcomes. The PNI might offer more valuable predictive values and a stronger correlation with different renal histologic changes compared to other nutritional scores.

Relationship between Permanent Catheter Patency and Nutrient Score in Patients Aged >75 Years Requiring Renal Replacement Therapy.

Background: Malnutrition is common in patients undergoing hemodialysis and is a powerful predictor of morbidity and mortality. This study aimed to investigate the effect of nutritional status on permanent catheter patency in elderly patients aged >75 years of age undergoing dialysis using tunneled dialysis catheters; Methods: Records of 383 patients whose nutritional factors and body cell mass (BCM) were measured simultaneously at the start of dialysis between 14 January 2020 and 30 September 2023, at Chungnam National University Hospital, were retrospectively reviewed. The relationships between permanent catheter patency at 180 days and BCM parameters and clinical parameters were studied using Kaplan-Meier survival curves and multivariate Cox proportional hazards analysis. Results: Age and sexual differences were significant (p ≤ 0.05), and most of the BCM parameters and BCM were not significant (p ≤ 0.05), except for intracellular water. Permanent catheter patency was superior at low controlling nutritional status (CONUT) scores (p < 0.05). After adjustment for covariates, the CONUT score remained an independent factor associated with permanent catheter-patency survival; Conclusions: CONUT scores measured before the start of dialysis are expected to play an important role in predicting the prognosis of permanent catheter-patency survival in patients aged >75 years.

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 (OSR) and endovascular abdominal aortic aneurysm repair (EAR) are undefined. We conducted the study to address this issue in this population. DesignRetrospective observational study. SettingA large tertiary hospital. ParticipantsPatients with AAA who underwent OSR and EVAR. InterventionsEvaluation of nutritional status [Nutritional Risk Screening 2002 (NRS2002) and the controlling nutritional status (CONUT) scores], muscle size (skeletal muscle index, SMI) and postoperative parameters. Measurements and main results199 patients were reviewed from January 2020 to December 2022. Patients are categorized into group A (CONUT < 4) and group B (CONUT ≥ 4) based on whether their CONUT scores are 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 mid-term mortality (hazard ratio [HR], 1.329; 95% CI, 1.104-1.697; P = 0.002) and Clavien-Dindo class III complications (odds ratio [OR], 1.225; 95% CI, 1.012-1.482; P = 0.037) according to univariate and multivariate analyses, whereas NRS2002 score and sarcopenia were not. Kaplan-Meier curves showed a lower mid-term survival rate in Group B (log-rank P < 0.001). Conclusion: In patients with AAA undergoing OSR or EVAR, 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.

Prognostic and clinicopathological significance of the Controlling Nutritional Status (CONUT) score in patients with lymphoma: a meta-analysis

ObjectivesThe role of the Controlling Nutritional Status (CONUT) scores in predicting the prognosis of lymphoma cases has been extensively explored, with no consistent results. The present meta-analysis focused on accurately...

Study on the correlation between controlling nutritional status score and clinical biochemical indicators in patients with colorectal cancer

PurposeThe controlling nutritional status (CONUT) score is an important tool for predicting the prognosis of colorectal cancer (CRC); however, its effectiveness is relatively insufficient. This study aimed to screen for more effective clinical indicators as supplements to the CONUT scoring system and improve the predictive value of CRC prognosis. Patients and methodsBetween 2014 and 2020, the clinical information of all CRC patients in our unit was retrospectively collected, and the CONUT scores were calculated based on the levels of serum albumin (ALB), lymphocytes (LC), and total cholesterol. The included patients were divided into the following three groups: normal nutrition (0–1), mild malnutrition (2–4), and moderate-to-severe malnutrition (5–12). The correlations between the CONUT score and baseline characteristics and clinical indicators were evaluated. ResultsThis study ultimately included 5014 CRC patients. The nutritional status of patients with colon cancer (CC) was worse than that of rectal cancer (RC). The nutritional status was worse in men than in women. The older the patient, the poorer the nutritional status, and the poorer the nutritional status, the longer the hospital stay. In addition, poor nutritional status in patients is indicated by higher values of neutrophils (NE), monocytes (MC), eosinophils (EOS), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), carcinoembryogenic antigen (CEA), and lower values of white blood cells (WBC), basophils (BAS), haemoglobin (HB), total protein (TP), triglycerides (TG), low density lipoprotein (LDL), aspartate transaminase (AST), and blood urea nitrogen (BUN), which was statistically significant (P < 0.05). Indicators that significantly correlated with the CONUT score reflected the immune nutritional status, including WBC (odds ratio [OR] = 0.036, P < 0.001), NE (OR = 30.815, P < 0.001), MC (OR = 41.388, P < 0.001), EOS (OR = 27.577, P < 0.001), BAS (OR = 0.006, P = 0.046), and LDL (OR = 0.319, P < 0.001). ConclusionAdditional variables such as WBC, NE, MC, EOS, BAS, and LDL may be used as supplementary indicators in the CONUT scoring system to more effectively predict the clinical prognosis of CRC patients.

Association of malnutrition status with 30-day mortality in patients with sepsis using objective nutritional indices: a multicenter retrospective study in South Korea.

The Controlling Nutritional Status (CONUT) score and the prognostic nutritional index (PNI) have emerged as important nutritional indices because they provide an objective assessment based on data. We aimed to investigate how these nutritional indices relate to outcomes in patients with sepsis. Data were collected retrospectively at five hospitals for patients aged ≥18 years receiving treatment for sepsis between January 1, 2017, and December 31, 2021. Serum albumin and total cholesterol concentrations, and peripheral lymphocytes were used to calculate the CONUT score and PNI. To identify predictors correlated with 30-day mortality, analyses were conducted using univariate and multivariate Cox proportional hazards models. The 30-day mortality rate among 9,763 patients was 15.8% (n=1,546). The median CONUT score was 5 (interquartile range [IQR], 3-7) and the median PNI score was 39.6 (IQR, 33.846.4). Higher 30-day mortality rates were associated with individuals with moderate (CONUT score: 5-8; PNI: 35-38) or severe (CONUT: 9-12; PNI: <35) malnutrition compared with those with no malnutrition (CONUT: 0-1; PNI: >38). With CONUT scores, the hazard ratio (HR) associated with moderate malnutrition was 1.52 (95% confidence interval [CI], 1.24-1.87; P<0.001); for severe, HR=2.42 (95% CI, 1.95-3.02; P<0.001). With PNI scores, the HR for moderate malnutrition was 1.29 (95% CI, 1.09-1.53; P=0.003); for severe, HR=1.88 (95% CI, 1.67-2.12; P<0.001). The nutritional indices CONUT score and PNI showed significant associations with mortality of sepsis patients within 30 days.

Assessment of clinical outcome after sudden alteration of home parenteral nutrition program from customised to commercially premixed admixtures. Experience with short bowel syndrome treatment

Background & AimsDisruptions in the home parenteral nutrition (HPN) process may lead to failure to achieve the intended treatment purposes. This study aimed to evaluate the mid-term clinical outcome in a group of patients with short bowel syndrome (SBS) after a sudden change in the type of home parenteral nutrition programs from customized to commercially premixed admixtures. MethodsThe study conducted in 2020 identified 51 patients with SBS: 27 (53%) women and 24 (47%) men. The SBS were classified as SBS with end jejunostomy 23 (45%) patients, with jejuno-colon anastomosis 23 (45%) patients, with jejuno-ileo anastomosis and total colon in continuity 5 (10%) patients. The following therapeutic program-related data were analysed: changes in nutritional status, body mass index (BMI), Controlling Nutritional Status (CONUT) score, and biochemical assessment. For statistical analysis, the Wilcoxon rank-sum and signed-rank paired tests with continuity corrections were used to compare the results. A p-value of <0.001 was considered statistically significant. ResultsThere was no statistically significant difference between the analysed groups in total energy, amino acid concentrations, and intravenous volume supplementation. BMI and CONUT assessments of nutritional status and selected biochemical parameters were stable during the study period. ConclusionsThe study demonstrated that a sudden change in the HPN therapy program from parenteral admixtures, tailored to meet individual patients’ needs, to commercially premixed admixtures had no significant impact on the mid-term clinical condition of patients with SBS.

Predictive value of controlling nutritional status score for prostate cancer diagnosis.

This study aims to explore the predictive value of the Controlling Nutritional Status (CONUT) score for prostate cancer (PCa) diagnosis. The data of 114 patients who underwent prostate needle biopsies from June 2020 to December 2022 were retrospectively analyzed. The relationship between CONUT score and various clinical factors as well as PCa diagnosis was evaluated. The pathological results classified patients into the PCa (n = 38) and non-PCa (n = 76) groups. Compared with the non-PCa group, the PCa group exhibited statistically significant differences in age, prostate-specific antigen (PSA), PSA density (PSAD), the proportion of PI-RADS ≥ 3 in mpMRI, and the CONUT score, prostate volume, lymphocyte count, and total cholesterol concentration (p < 0.05). ROC curve analyses indicated the diagnostic accuracy as follows: age (AUC = 0.709), prostate volume (AUC = 0.652), PSA (AUC = 0.689), PSAD (AUC = 0.76), PI-RADS ≥ 3 in mpMRI (AUC = 0.846), and CONUT score (AUC = 0.687). When CONUT score was combined with PSA and PSAD, AUC increased to 0.784. The AUC of CONUT score combined with PSA, PSAD, and mpMRI was 0.881, indicates a higher diagnostic value. Based on the optimal cut-off value of CONUT score, compared with the low CONUT score group, the high CONUT score group has a higher positive rate of PCa diagnosis (p < 0.05). CONUT score is an excellent auxiliary index for PCa diagnosis in addition to the commonly used PSA, PSAD, and mpMRI in clinical practice. Further prospective trials with a larger sample size are warranted to confirm the present study findings.

Association between Controlling Nutritional Status (CONUT) Score and Body Composition, Inflammation and Frailty in Hospitalized Elderly Patients.

a total of 361 patients were retrospectively recruited and divided into three groups based on the CONUT score. patients with a score ≥5 exhibited significantly higher levels of inflammatory markers, such as erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), Neutrophil/Lymphocytes ratio (NLR), main platelet volume (MPV), and ferritin, compared to those with a lower score. Furthermore, these patients showed unfavorable changes in body composition, including a lower percentage of skeletal muscle mass (MM) and fat-free mass (FFM) and a higher percentage of fatty mass (FM). A positive correlation was found between the CONUT score and inflammatory markers, Geriatric Depression Scale Short Form (GDS-SF), and FM. Conversely, the Mini Nutritional Assessment (MNA), Mini-Mental Status Examination, activity daily living (ADL), instrumental activity daily living (IADL), Barthel index, FFM, and MM showed a negative correlation. Frailty was highly prevalent among patients with a higher CONUT score. The receiver operating characteristic (ROC) curve demonstrated high accuracy in identifying frail patients (sensitivity). a high CONUT score is associated with a pro-inflammatory status as well as with unfavorable body composition. Additionally, it is a good tool to identify frailty among hospitalized elderly patients.

Preoperative controlling nutritional status as an optimal prognostic nutritional index to predict the outcome for colorectal cancer.

The controlling nutritional status (CONUT) score effectively reflects a patient's nutritional status, which is closely related to cancer prognosis. This study investigated the relationship between the CONUT score and prognosis after radical surgery for colorectal cancer, and compared the predictive ability of the CONUT score with other indexes. To analyze the predictive performance of the CONUT score for the survival rate of colorectal cancer patients who underwent potentially curative resection. This retrospective analysis included 217 patients with newly diagnosed colorectal. The CONUT score was calculated based on the serum albumin level, total lymphocyte count, and total cholesterol level. The cutoff value of the CONUT score for predicting prognosis was 4 according to the Youden Index by the receiver operating characteristic curve. The associations between the CONUT score and the prognosis were performed using Kaplan-Meier curves and Cox regression analysis. Using the cutoff value of the CONUT score, patients were stratified into CONUT low (n = 189) and CONUT high groups (n = 28). The CONUT high group had worse overall survival (OS) (P = 0.013) and relapse-free survival (RFS) (P = 0.015). The predictive performance of CONUT was superior to the modified Glasgow prognostic score, the prognostic nutritional index, and the neutrophil-to-lymphocyte ratio. Meanwhile, the predictive performances of CONUT + tumor node metastasis (TNM) stage for 3-year OS [area under the receiver operating characteristics curve (AUC) = 0.803] and 3-year RFS (AUC = 0.752) were no less than skeletal muscle mass index (SMI) + TNM stage. The CONUT score was negatively correlated with SMI (P < 0.01). As a nutritional indicator, the CONUT score could predict long-term outcomes after radical surgery for colorectal cancer, and its predictive ability was superior to other indexes. The correlation between the CONUT score and skeletal muscle may be one of the factors that play a predictive role.

Effects of Pre-Transplant CONUT and Post-Transplant MRD on Prognosis of Patients with Multiple Myeloma after Auto-HSCT

To explore the effects of pre-transplant controlling nutritional status (CONUT) and post-transplant minimal residual disease (MRD) on prognosis of patients with multiple myeloma (MM) after autologous hematopoietic stem cell transplantation (auto-HSCT). The clinical data of 79 patients who received auto-HSCT from 2011 to 2020 in The First Affiliated Hospital of Chongqing Medical University were retrospectively analyzed. The patients were divided into Low-CONUT group (n=62) and High-CONUT group (n=17) according to whether the CONUT score was less than 5. The differences in clinical features, hematopoietic reconstruction, adverse reactions, efficacy and survival between the two groups were compared. In addition, the prognostic risk factors were analyzed and verified by time-dependent ROC curve. The proportions of male patients and bone marrow plasma cells>30% at initial diagnosis in High-CONUT group were both higher than those in Low-CONUT group (both P <0.05). While, there were no significant differences in hematopoietic reconstruction and adverse reactions (>grade 2) between the two groups. The complete response (CR) rate and CR+very good partial response (VGPR) rate before transplantation in Low-CONUT group were both significantly higher than those in High-CONUT group (both P <0.05). After 3 months of transplantation, the CR+VGPR rate still remained an advantage in Low-CONUT group compared with High-CONUT group (P <0.01), but CR rate did not(P >0.05). The overall survival (OS) and progression-free survival (PFS) in Low-CONUT group were both superior to those in High-CONUT group (both P <0.05). Low CONUT score (0-4) before transplantation and negative MRD at 6 months after transplantation were favorable factors affecting OS and PFS (both P <0.05), while the International Myeloma Working Group (IMWG) high-risk at initial diagnosis and lactate dehydrogenase (LDH) level>250 U/L before transplantation were only risk factors for PFS (both P <0.05). Time-dependent ROC curve analysis showed that pre-transplant CONUT score and MRD status at 6 months after transplantation could independently or jointly predict 1- and 2-year OS and PFS, and the combined prediction was more effective. The combination of pre-transplant CONUT and post-transplant MRD can better predict the prognosis of MM patients.

Comparison of different preoperative objective nutritional indices for evaluating 30-d mortality and complications after liver transplantation.

The nutritional status is closely related to the prognosis of liver transplant recipients, but few studies have reported the role of preoperative objective nutritional indices in predicting liver transplant outcomes. To compare the predictive value of various preoperative objective nutritional indicators for determining 30-d mortality and complications following liver transplantation (LT). A retrospective analysis was conducted on 162 recipients who underwent LT at our institution from December 2019 to June 2022. This study identified several independent risk factors associated with 30-d mortality, including blood loss, the prognostic nutritional index (PNI), the nutritional risk index (NRI), and the control nutritional status. The 30-d mortality rate was 8.6%. Blood loss, the NRI, and the PNI were found to be independent risk factors for the occurrence of severe postoperative complications. The NRI achieved the highest prediction values for 30-d mortality [area under the curve (AUC) = 0.861, P < 0.001] and severe complications (AUC = 0.643, P = 0.011). Compared to those in the high NRI group, the low patients in the NRI group had lower preoperative body mass index and prealbumin and albumin levels, as well as higher alanine aminotransferase and total bilirubin levels, Model for End-stage Liver Disease scores and prothrombin time (P < 0.05). Furthermore, the group with a low NRI exhibited significantly greater incidences of intraabdominal bleeding, primary graft nonfunction, and mortality. The NRI has good predictive value for 30-d mortality and severe complications following LT. The NRI could be an effective tool for transplant surgeons to evaluate perioperative nutritional risk and develop relevant nutritional therapy.

Prognostic value of nutrition for contrast-induced nephropathy in patients undergoing peripheral vascular intervention.

Background: The objective was to examine the predictive value of malnutrition, assessed via the Controlling Nutritional status (CONUT) and Prognostic Nutrition Index (PNI) scores, in the development of contrast-associated acute kidney injury (CA-AKI) following peripheral vascular intervention (PVI).Methods: This retrospective cross-sectional observational study included the enrollment of 243 consecutive patients who underwent PVI. Patients were categorized into two groups based on the occurrence of CA-AKI.Results: Patients with CA-AKI had lower PNI scores and the PNI score was an independent predictor of CA-AKI development (Odds Ratio: 0.518, 95% CI: 2.295-0.908, p=0.021). Nomogram had higher discriminative ability than both PNI and CONUT scores and discriminative abilities were similar for PNI and CONUT scores.Conclusion: Malnutrition, as identified by the CONUT and PNI, was found to be associated with a high risk of CA-AKI development following PVI.