Controlling Nutritional Status Score Research Articles

The CONUT score is associated with the pathologic grade in non-small cell lung cancer.

Nutritional scores have been reported to be useful prognostic factors for various cancers. This study evaluated the usefulness of the preoperative controlling nutritional status (CONUT) score as a predictor of recurrence of non-small cell lung cancer (NSCLC). The present study included 422 patients with stage I-IIIA NSCLC who underwent complete resection at Tohoku University Hospital between January 2010 and December 2016. The patients were divided into the low-CONUT and high-CONUT groups based on their CONUT scores. Overall survival (OS), recurrence-free survival (RFS), and cumulative recurrence rates in the low- and high-CONUT groups were evaluated retrospectively. One hundred forty-seven patients (34.8%) were assigned to the high-CONUT group. The high-CONUT group had a significantly worse performance status, pleural invasion, vascular invasion, and lung metastasis. In the whole cohort, the low-CONUT group showed better overall survival, recurrence-free survival, and a low cumulative recurrence rate in comparison to the high-CONUT group. There was no significant difference in prognosis or recurrence between the low- and high-CONUT groups after propensity score matching. Patients with a high CONUT score may be at high risk of recurrence because of the high frequency of pleural invasion, vascular invasion, and lung metastasis.

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.

[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.

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...

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.

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.

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...

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.

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.

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.

The predictive value of the CONUT score combined with the A2DS2 scale for post-ischemic stroke infection

Background/Aim. Stroke-associated infection is the most common and most serious complication of ischemic stroke (IS), which is the most important cause of death and disability in humans. The aim of the study was to determine the predictive value of nutrition risk score - Controlling Nutritional Status (CONUT) combined with Age, Atrial Fibrillation, Dysphagia, Sex, Stroke Severity (A2DS2) scale for post-IS infection (PISI) in IS patients. Methods. This retrospective study analyzed the clinical data of 333 IS patients admitted to the Emergency Department of West China Hospital of Sichuan University from December 2017 to April 2019. Patients were divided into the No- PISI group (244 cases) and the PISI group (89 cases) based on whether they had a PISI. Multivariate logistic regression analysis was used to identify independent risk factors for PISI. Receiver operating characteristic (ROC) curve analysis was used to evaluate the accuracy of different variables in predicting the outcome. Results. Multivariable logistic regression analysis showed that the CONUT score [odds ratio (OR) = 1.321, 95% confidence interval (CI): 1.040-1.677, p &lt; 0.05] and age (OR = 1.026, 95%CI: 1.004-1.048, p &lt; 0.05) were independent influencing factors for PISI. With the increase of the CONUT score, the proportion of PISI increased. Area under the ROC curve for predicting PISI was 0.651, 0.696, and 0.725 for CONUT, A2DS2, and CONUT plus A2DS2, respectively. Conclusion. Combining the CONUT score and A2DS2 scale enhances their predictability of PISI, thereby serving as a valuable tool for early risk assessment and clinical intervention.

The pretreatment Controlling Nutritional Status score is an independent prognostic factor in elderly patients with diffuse large B-cell lymphoma

Predicting prognosis is crucial in older patients with diffuse large B-cell lymphoma (DLBCL). This study evaluated the prognostic impact of the controlling nutritional status (CONUT) score, a simple nutritional index, for older DLBCL patients (≥65 years of age) treated with R-CHOP-like regimens in a retrospective, cohort study including 203 patients. The CONUT score was an independent prognostic factor for overall survival (hazard ratio 1.11, 95% confidence interval (CI) 1.01-1.21, p = 0.032) in a multivariable Cox proportional hazards model. On receiver-operating characteristic analysis, the optimal cutoff value was 3. The CONUT score (≥3 or <3) effectively stratified older DLBCL patients, regardless of the International Prognostic Index (p = 0.71 for interaction). Further, the CONUT score independently affected initial dose intensity (odds ratio 0.84, 95% CI 0.73-0.95, p = 0.008), likely reflecting the patients’ status at diagnosis and affecting dose adjustments. In conclusion, the CONUT score is associated with a poorer prognosis in older DLBCL patients.

The role of nutrition-based index in predicting survival of breast cancer patients: A systematic review and meta-analysis

BackgroundPrognostic nutritional index (PNI) and Controlling Nutritional Status (CONUT) are two model that incorporates the role of inflammation and nutrition factors to predict the progression of tumor. The primary objective of this investigation is to examine the ability of PNI and CONUT score for predicting the survival in breast cancer patients. MethodsA comprehensive search was conducted on the Cochrane Library, Scopus, Europe PMC, and Medline databases up until August 14th, 2023, utilizing a combination of relevant keywords. This review incorporates literature that examines the relationship between PNI, CONUT, and survival in breast cancer. We employed random-effect models to analyze the hazard ratio (HR) and present the outcomes together with their corresponding 95 % confidence intervals (CI). ResultsA total of sixteen studies were incorporated. The results of our meta-analysis indicated that high PNI was associated with better overall survival (OS) (HR 0.38; 95%CI: 0.28–0.51, p < 0.00001, I2 = 32 %), but not disease-free survival (DFS) (HR 0.60; 95%CI: 0.33–1.10, p = 0.10, I2 = 78 %) than low PNI in breast cancer patients. Meta-analysis also indicated that high CONUT was associated with worse OS (HR 1.66; 95%CI: 1.21–2.28, p = 0.002, I2 = 78 %) and worse DFS (HR 2.09; 95%CI: 1.60–2.73, p < 0.00001, I2 = 41 %) in breast cancer patients. ConclusionsThis study suggests the prognostic role of both PNI and CONUT score for predicting survival in breast cancer patients.