Controlling Nutritional Status (CONUT) score as immune-nutritional predictor of outcomes in patients undergoing peritoneal dialysis

Role of composite objective nutritional indexes in patients with chronic kidney disease

Malnutrition persists as one of the most severe symptoms in patients with chronic kidney disease (CKD) globally. It is a critical risk factor for cardiovascular and all-cause mortality in patients with CKD. Readily available objective indicators are used to calculate composite objective nutritional assessment indexes, including the geriatric nutritional risk index, prognostic nutritional index, and controlling nutritional status score. These indexes offer a straightforward and effective method for evaluating nutritional status and predicting clinical outcomes in patients with CKD. This review presents supporting evidence on the significance of composite nutritional indexes.

Impact of nutrition and inflammation indicators on peritoneal dialysis initiation and management

BACKGROUND

The clinical significance of nutrition and inflammation in dialysis patients is well established. This study aimed to evaluate the association between prognosis and indicators of nutrition and inflammation.

METHODS

A total of 253 consecutive patients who underwent peritoneal dialysis (PD) as primary renal replacement therapy at our institute between 2006 and 2021 were included. We retrospectively reviewed the patient's medical charts and obtained their clinical information. Nine nutritional and two inflammatory indicators were assessed. Patient outcomes were investigated, and predictive factors were explored.

RESULTS

The median age and follow-up period were 65 years and 54 months, respectively. Most nutritional indicators and C-reactive protein (CRP) levels showed a significant correlation with residual renal function. Multivariate analysis revealed that the survival index, nutritional risk index for Japanese hemodialysis patients, and CRP levels were independent indicators of patient survival (P < 0.001, P = 0.034, and P = 0.005, respectively) and cardiovascular disease-free survival (P = 0.009, P = 0.04, and P = 0.017, respectively). Patients with a survival index < 19 and CRP ≥ 0.5 had a high risk of mortality and cardiovascular death (P < 0.0001 and P = 0.0002, respectively).

CONCLUSIONS

Our findings suggest that indicators of nutrition and inflammation play important roles in predicting patient outcomes. Further research is warranted to establish optimal management strategies for patients on PD.

A landscape of metabolic variation among clinical outcomes of peritoneal dialysis in end-stage renal disease

BACKGROUND

Peritoneal dialysis (PD) helps prevent lethal complications of end-stage renal disease (ESRD). However, the clinical outcomes are affected by PD-related complications. We investigated metabolic biomarkers to estimate the clinical outcomes of PD and identify patients at high risk of downstream complications and recurrent/relapsing infections.

METHODS

Metabolites of normal control and ESRD patient were compared via an untargeted metabolomic analysis. Potential metabolic biomarkers were selected and quantified using a multiple reaction monitoring-based target metabolite detection method. A nomogram was built to predict the clinical outcomes of PD patients using clinical features and potential metabolic biomarkers with the least absolute shrinkage and selection operator Cox regression model.

RESULTS

Twenty-five endogenous metabolites were identified and analyzed. ESRD-poor clinical outcome-related metabolic modules were constructed. Adenine, isoleucine, tyramine, xanthosine, phenylacetyl-L-glutamine, and cholic acid were investigated using the weighted gene correlation network analysis blue module. Potential metabolic biomarkers were differentially expressed between the NC and ESRD groups and the poor and good clinical outcomes of PD groups. A 3-metabolite fingerprint classifier of isoleucine, cholic acid, and adenine was included in a nomogram predicting the clinical outcomes of PD.

CONCLUSION

Metabolic variations can predict the clinical outcomes of PD in ESRD patients.

Relationship between immune nutrition index and all-cause and cause-specific mortality in U.S. adults with chronic kidney disease

Objective

The available evidence regarding the association of immune nutrition status with chronic kidney disease (CKD) is limited. Thus, the present study examined whether immunonutrition indices were associated with renal function and mortality among CKD individuals.

Research design and methods

This study enrolled 6,099 U.S. adults with CKD from the NHANES 2005-2018 database. Participants were matched with National Death Index records until 31 December 2019 to determine mortality outcomes. The time-dependent receiver operating characteristic was utilized to identify the most effective index among the prognostic nutritional index (PNI), system inflammation score (SIS), Naples prognostic score (NPS), and controlling nutritional status (CONUT) for predicting mortality. Cox regression models were employed to evaluate the associations of immunonutrition indices with mortality in participants with CKD.

Results

The PNI exhibited the strongest predictive power among the four indices evaluated and the restricted cubic spline analysis revealed a cutoff value of 51 for the PNI in predicting mortality. During a median follow-up of 72 months (39-115 months), a total of 1,762 (weighted 24.26%) CKD participants died from all causes. The Kaplan-Meier curve demonstrated a reduced risk of death for the subjects with a higher PNI compared to those in the lower group. Besides, after adjusting for multiple potential confounders, a higher PNI remained an independent predictor for lower risks of all-cause mortality (HR 0.80, 95%CI: 0.71-0.91, p < 0.001) and cardiovascular disease (CVD) mortality (HR 0.69, 95%CI: 0.55-0.88, p = 0.002) in individuals with CKD.

Conclusion

In CKD, a higher PNI level was significantly associated with lower mortality from all causes and CVD. Thus, the clinical utility of this immunonutrition indicator may facilitate risk stratification and prevent premature death among patients with CKD.

Association of malnutrition with all-cause and cardiovascular mortality in patients with mild to severe chronic kidney disease undergoing coronary angiography: a large multicenter longitudinal study

PURPOSE

Evidence on the prognostic impact of malnutrition was focused on patients with advanced kidney disease. The relationships between malnutrition and all-cause and cardiovascular mortality in patients with different severity of chronic kidney disease (CKD) have not been adequately addressed. We aimed to reveal the prevalence of malnutrition and its prognostic value in patients with different severity of CKD undergoing coronary angiography (CAG).

METHODS

This was a multicenter, longitudinal, and retrospective cohort study of 12,652 patients with non-dialysis dependent CKD (defined as estimated glomerular filtration rate [eGFR] < 60 mL/min/1.73 m2) undergoing CAG from five tertiary hospitals between January 2007 and December 2020. The controlling nutritional status (CONUT) score was applied to assess nutritional status. Cox regression models and competing risk Fine and Gray models were used to examine the relationships between malnutrition, all-cause and cardiovascular mortality. Further stratified analysis was performed according to baseline CKD severity (mild, moderate and severe, defined by eGFR < 30, 30-44 and 45-59 ml/min/1.73 m2).

RESULTS

During a median follow-up of 5.5 years (interquartile range: 3.2 to 8.6 years), 3801 patients (30.0%) died, and 2150 (17.0%) definitely died of cardiovascular disease. After controlling for confounders, patients had higher all-cause mortality (mild, moderate, and severe vs. absent: HR 1.27, 95 CI % [1.17-1.39]; HR 1.54, 95 CI % [1.39-1.71]; HR 2.22, 95 CI % [1.78-2.77], respectively; P for trend < 0.001) and cardiovascular mortality (mild, moderate and severe vs. absent: HR 1.35, 95 CI % [1.21-1.52]; HR 1.67, 95 CI % [1.45-1.92]; HR 2.10, 95 CI % [1.55-2.85], respectively; P for trend < 0.001) with the severity of malnutrition. In further stratified analysis, a similar prognostic impact of malnutrition was observed in patients with mild to moderate CKD, while mild malnutrition did not seem to have a consistent effect on severe CKD patients.

CONCLUSION

Malnutrition is common among patients with mild to severe CKD undergoing CAG and is strongly associated with increased risk of all-cause and cardiovascular mortality. Malnutrition seems to have a modestly stronger impact on mortality in patients with mild to moderate CKD. This study was registered at Clinicaltrials.gov as NCT05050877.

Controlling nutritional status score is associated with renal progression, cardiovascular events, and all-cause mortality in biopsy-proved diabetic kidney disease

Background: The Controlled Nutritional Status (CONUT) score, calculated from albumin, total cholesterol, and lymphocyte count, is a useful indicator for immune-nutritional assessment and is associated with the prognosis of various diseases. However, its relationship with renal outcomes, cardiovascular disease (CVD), and all-cause mortality in patients with diabetic kidney disease is unclear. Methods: This retrospective single-center study enrolled 336 patients with biopsy-confirmed diabetic kidney disease from August 2009 to December 2018. The outcomes were progression to end-stage renal disease (ESRD), CVD events, and death. Univariate and multivariate Cox regression analyses were performed to estimate the association between confounding factors and outcomes. The Kaplan-Meier curve was used to compare the outcomes of the patients according to the median CONUT score. The area under the curve (AUC) evaluated with time-dependent receiver operating characteristics was used to test discriminative power of COUNT score. Results: During a median follow-up period of 5.1 years. The Kaplan-Meier analysis showed that patients in the high CONUT group (CONUT score > 3) had a significantly higher incidence of ESRD, CVD events, and all-cause mortality than those in the low CONUT group (CONUT score ≤ 3). The multivariate COX regression analysis indicated that, The CONUT score was an independent predictor of ESRD (hazards ration [HR] = 1.129, 95% confidence interval [CI] 1.037-1.228, p = 0.005), CVD events (HR = 1.159, 95% CI 1.057-1.271, p = 0.002), and all-cause mortality (HR = 1.299, 95% CI 1.143-1.478, p < 0.001). Conclusion: The CONUT score is an independent risk factor for ESRD, CVD events, and overall death in patients with diabetic kidney disease.

Clinical Implications of the Controlling Nutritional Status Score on Short-term Outcomes in Patients with Pleural Infection

Objective Pleural infection is a significant disease that continues to pose severe problems for respiratory physicians. However, prognostic factors of pleural infection remain poorly understood. The controlling nutritional status (CONUT) score represents the immune-nutrition status of patients with chronic infectious diseases. This study investigated its prognostic value in patients with pleural infections. Methods We retrospectively analyzed a collected database of 2,363 patients who underwent thoracentesis and pleural fluid analyses between January 2010 and December 2019. Of these, only 335 patients with complicated parapneumonic effusion and empyema defined as pleural infection were included. They were divided into two groups based on the dichotomized CONUT score (i.e. <6 for low scores and ≥6 for high scores). The primary outcome was all-cause mortality within 90 days from the time of pleural fluid collection. Results Overall mortality was 8.4% at 3 months (28 out of 335). The incidence of 90-day mortality was higher in patients with higher CONUT scores than in those with lower scores [25.3% (21/84) vs. 2.8% (7/251), p<0.001]. In addition, after adjusting for confounders, a high CONUT score was found to be an independent prognostic factor for 90-day mortality (hazard ratio, 9.30; 95% confidence interval, 3.96-21.87; p<0.001). Conclusion Our study indicated that a high CONUT score was associated with an increased risk of 90-day mortality in patients with pleural infection and can be considered for clinical evaluations in practice.

CONUT score is associated with short-term prognosis in patients with severe acute pancreatitis: a propensity score matching cohort study

Background

The Controlling Nutritional Status (CONUT) score was designed to assess the immune-nutritional status in patients. This study aimed to investigate the role of the CONUT score in the short-term prognosis of severe acute pancreatitis.

Methods

This was a retrospective cohort study. 488 patients with severe acute pancreatitis at the Department of Critical Care Medicine of the West China Hospital of Sichuan University (Chengdu, China) were enrolled in the study. Baseline data were collected from the West China Hospital of Sichuan University database. The primary outcome during follow-up was all-cause mortality. The secondary outcomes were 28 day mortality, renal insufficiency, length of stay (LOS) in the ICU, and length of stay (LOS) in the hospital. Patients were divided into two groups based on a median CONUT score of 7, and baseline differences between the two groups were eliminated by propensity matching. Univariate Cox regression analyses were performed to estimate the association between CONUT score and outcomes. The Kaplan-Meier method was used to estimate the survival rate of patients.

Results

CONUT score was an independent predictor of all-cause mortality (hazard ratio [HR]:2.093; 95%CI: 1.342-3.263; p < 0.001) and 28 day mortality (hazard ratio [HR]:1.813; 95%CI: 1.135-2.896; p < 0.013). CONUT score was not statistically significant in predicting the incidence of renal insufficiency. The high CONUT group had significantly higher all-cause mortality (p < 0.001), and 28 day mortality (p < 0.011) than the low CONUT group.

Conclusion

The CONUT score is an independent predictor of short-term prognosis in patients with severe acute pancreatitis, and timely nutritional support is required to reduce mortality in patients with severe acute pancreatitis.

Utility of a modified Controlling Nutritional Status score in mortality risk assessment of patients on hemodialysis

PURPOSE

Malnutrition is common among hemodialysis patients. A nutritional index may be important for their prognosis prediction. We examined the use of a modified version of the Controlling Nutritional Status (CONUT) score as a predictor of mortality in hemodialysis patients and investigated whether statin use modified the association.

METHODS

We conducted a retrospective cohort study in 1130 adults (mean age 67.7 years, 35.0% women) on maintenance hemodialysis at four outpatient dialysis clinics in Japan. The exposure of interest was modified CONUT scores calculated by one-time data of serum albumin and total cholesterol at baseline, or mean data of these measures using multiple blood test results. The primary outcome was all-cause mortality. We examined the association between modified CONUT groups (low-risk, middle-risk, and high-risk) and mortality using multivariate Cox proportional hazard regression and logistic regression models in overall patients and by statin use.

RESULTS

During a median follow-up of 6.6 years, 525 (46.5%) patients died. Analysis using both one-time and mean data showed increased mortality risk in the high-risk modified CONUT score group as compared to the low-risk group (mean data: HR 2.52, 95% CI 1.96, 3.24); when stratified by statin use, the effect appeared stronger among users (mean data: HR 5.84, 95% CI 2.98, 11.44). Strong predictive ability was observed, particularly for mortality risk at 5 year follow-up using mean data (AUC = 0.842).

CONCLUSION

Our results suggest that the modified CONUT score may be useful in helping clinicians quickly identify hemodialysis patients with poorer prognosis who may benefit from close monitoring and interventions.

Association of malnutrition with SARS-CoV-2 vaccine response in patients undergoing hemodialysis

BACKGROUND & AIMS

Patients undergoing dialysis are less likely to develop immune responses to SARS-CoV-2 vaccine. Malnutrition is common in the dialysis population. However, whether malnutrition contributes to the impaired immunogenicity remains unknown. The aim of this study was to assess the association between nutritional status and SARS-CoV-2 vaccine response in patients receiving maintenance hemodialysis.

METHODS

A total of 206 hemodialysis patients (mean age, 67 ± 13 years) without prior SARS-CoV-2 infection were examined for the primary outcome of seroconversion, defined as the detection of IgG antibodies (≥50 AU/mL) to the receptor-binding domain of the S1 spike protein of SARS-CoV-2 one month after a priming dose of ChAdOx1 nCoV-19, an adenovirus-vectored vaccine. Nutritional status was assessed by using the Controlling Nutritional Status (CONUT) score, an objective indicator of nutrition incorporating serum albumin, total cholesterol, and total lymphocyte count, as well as the subjective global assessment (SGA).

RESULTS

Overall, 16.5% of patients were classified as malnourished, and 64.1% of patients were at risk for malnutrition based on the CONUT score. Anti-SARS-CoV-2 IgG were the highest in patients with normal nutrition. In multivariate logistic regression analyses adjusted for age, sex, comorbidities, and use of immunosuppressants, patients with malnutrition remained less likely to develop an antibody response than those with normal nutrition (odds ratio 0.23, 95% CI, 0.07-0.76). SGA was a significant predictor of anti-SARS-CoV-2 IgG seroconversion in univariate but not multivariate analyses.

CONCLUSIONS

Malnutrition according to CONUT score is associated with impaired humoral responses to SARS-CoV-2 vaccination in patients undergoing hemodialysis. Our results highlight the importance of incorporating nutritional assessment into routine dialysis care to identify patients at risk for suboptimal immune responses after SARS-CoV-2 vaccination. Further research is needed to determine whether nutritional intervention can improve immune responses in these vulnerable patients.

Prognostic value of nutritional status in patients with human immunodeficiency virus infection-related lymphoma

Objective

To investigate the predictive value of nutritional status on the prognosis of patients with human immunodeficiency virus (HIV) infection-related lymphoma.

Materials and methods

A total of 149 patients with HIV infection-related lymphoma who were admitted to our hospital from August 2012 to May 2022 were selected as research subjects. Based on the patient prognosis, they were divided into a poor prognosis group (n = 30) and a good prognosis group (n = 119). General data from patients in both groups were collected, and the nutritional status of the patients was evaluated using the Controlling Nutritional Status (CONUT) score. Factors affecting the prognosis of HIV infection-related lymphoma were analyzed using univariate and multivariate analyses, and a prediction model was developed based on the analyzed factors. The receiver operating characteristic (ROC) curve was used to analyze the prediction model of the CONUT score alone and included the CONUT score in the prognosis of patients with HIV infection-related lymphoma. The predictive value of the data was assessed, and a survival curve was drawn to compare the survival of patients with different nutritional statuses.

Results

There were significant differences in age, B symptoms, treatment conditions, International Prognostic Index (IPI), pathological stage, Eastern Collaborative Tumor Group physical status score (ECOG PS), CD4+ cell count, β2 microglobulin, and lactate dehydrogenase (LDH) between the poor prognosis group and the good prognosis group (p &lt; 0.05). The CONUT score of the poor prognosis group was higher than that of the good prognosis group, and the difference was statistically significant (p &lt; 0.05). A univariate analysis demonstrated that the age, B symptoms, treatment status, IPI, pathological stage, ECOG PS, CD4+ cell count, β2 microglobulin, LDH, and CONUT score were prognostic factors for patients with HIV infection-related lymphoma (p &lt; 0.05). The results of a multivariate regression analysis demonstrated that the age, B symptoms, treatment status, IPI, pathological stage, ECOG PS, and CONUT score were independent risk factors for the prognosis of patients with HIV infection-related lymphoma (p &lt; 0.05). The prediction model was constructed according to the multivariate Cox regression analysis results. The model formula was as follows: Logit(p) = −10.687 + 1.728 × age + 1.713 × B symptoms + 1.682 × treatment status + 1.810 × IPI + 1.643 × pathological stage + 1.584 × ECOG PS + 1.779 × CONUT score. The ROC curve was used to analyze the predictive value of the CONUT score alone and the predictive model including the CONUT score on the prognosis of patients with HIV infection-related lymphoma. The predictive value of the prognosis of patients with tumors was higher (p &lt; 0.05). According to the results of the ROC curve analysis, the patients were divided into a high CONUT group (CONUT &gt; 6.00 points, n = 31) and a low CONUT group (CONUT ≤ 6.00 points, n = 118) based on the Optimum threshold of the CONUT score. The survival curve showed that the survival rate of the high CONUT group was lower than that of the low CONUT group (p &lt; 0.05).

Conclusion

The poor prognosis of HIV infection-related lymphoma is related to nutritional status, which is an independent risk factor affecting the prognosis of patients and can be used as a practical indicator to predict the prognosis of patients.

The Association of Controlling Nutritional Status Score and Prognostic Nutritional Index with Cardiovascular Diseases: the Fukuoka Kidney Disease Registry Study

AIM

The Controlling Nutritional Status (CONUT) score and the Prognostic Nutritional Index (PNI) reflect the immunonutritional status of patients. However, the associations of these two indices with cardiovascular disease (CVD) have not been characterized in patients with chronic kidney disease (CKD). Therefore, the current study aimed to determine whether the CONUT score or PNI was associated with prior CVD in patients with CKD.

METHODS

A cross-sectional study of 2,751 patients with CKD who were not on dialysis was performed. The patients were grouped into tertiles (T1-T3) of PNI and placed into three groups following their CONUT score: low- (CONUT score, 0), mild- (CONUT score, 1-2), and moderate-to-high- (CONUT score, ≥ 3) risk groups.

RESULTS

Prior CVD was present in 655 (24%) of the participants. Multivariable logistic regression analyses, with adjustment for potential confounders, showed that high CONUT score was associated with prior CVD than the low score (mild-risk group: odds ratio [OR]=1.35, 95% confidence interval [CI]=1.04-1.76; moderate-to-high-risk group: OR=1.66, 95% CI=1.19-2.30). In addition, the lower PNI tertiles were independently associated with prior CVD compared with T3 of PNI (T1: OR=1.45, 95% CI=1.09-1.92; T2: OR=1.32, 95% CI=1.01-1.72).

CONCLUSIONS

Both CONUT score and PNI were found to be independently associated with prior CVD in patients with CKD in the present cross-sectional study. A longitudinal study is needed to elucidate whether these two indices are associated with subsequent cardiovascular events.

Prognostic Value of the Controlling Nutritional Status (CONUT) Score in Patients at Dialysis Initiation

Protein-energy wasting (PEW) is common in patients with chronic kidney disease (CKD), and affects their prognosis. The Controlling Nutritional Status (CONUT) score is a nutritional screening tool calculated using only blood test data. This study aimed to investigate the prognostic value of CONUT score in patients just initiating dialysis. A total of 311 CKD patients who stably initiated dialysis were enrolled. Only 27 (8.7%) patients were classified as having normal nutritional status. The CONUT score was also independently correlated with elevated C-reactive protein levels (β = 0.485, p < 0.0001). During the median follow-up of 37 months, 100 patients (32.2%) died. The CONUT score was an independent predictor of all-cause mortality (adjusted hazard ratio 1.13, 95% confidence interval 1.04−1.22, p < 0.0024). As model discrimination, the addition of the CONUT score to a prediction model based on established risk factors significantly improved net reclassification improvement (0.285, p = 0.028) and integrated discrimination improvement (0.025, p = 0.023). The CONUT score might be a simplified surrogate marker of the PEW with clinical utility and could predict all-cause mortality, in addition to improving the predictability in CKD patients just initiating dialysis. The CONUT score also could predict infectious-disease mortality.

Malnutrition is Associated with Increased Morbidity and Mortality in Dialysis Patients Undergoing Endovascular Therapy for Peripheral Artery Disease

OBJECTIVES

Revascularization for peripheral artery disease (PAD) is increasingly common in dialysis patients. Patients with PAD who have undergone revascularization are at high risk for subsequent complications. Malnutrition is an important modifiable risk factor for dialysis patients, yet little data exist on the prognostic impact of malnutrition on postprocedure long-term outcomes.

METHODS

A total of 395 consecutive dialysis patients undergoing endovascular revascularization for PAD between 2005 and 2019 were examined for the primary outcome of all-cause mortality. Secondary outcomes included major adverse limb events (MALEs), defined as acute limb ischemia, major amputation, and clinically driven revascularization, and major adverse cardiovascular events (MACEs). Nutritional status was assessed by using the Controlling Nutritional Status (CONUT) score, a screening tool for malnutrition incorporating albumin, cholesterol, and total lymphocyte count.

RESULTS

According to the CONUT score, 40.8% of patients were moderately or severely malnourished. During a median follow-up of 2.2 years, 218 (55.2%) patients died; 211 (53.4%) patients had MALEs, and MACEs occurred in 135 (34.2%) patients. Compared with normal nutritional status, severe malnutrition was associated with a significantly increased risk for all-cause death (adjusted HR, 4.83; 95% CI, 2.56-9.12) and MALEs (adjusted HR, 2.42; 95% CI, 1.23-4.74) but not MACEs (adjusted HR, 1.81; 95% CI, 0.74-4.40). Similar results were observed when the CONUT score was analyzed as a continuous variable.

CONCLUSIONS

Malnutrition is common among dialysis patients with PAD requiring endovascular therapy and is strongly associated with increased mortality and MALEs. Clinical trials are needed to evaluate whether nutritional interventions improve outcomes for dialysis patients after peripheral revascularization.

A Machine Learning-Modified Novel Nomogram to Predict Perioperative Blood Transfusion of Total Gastrectomy for Gastric Cancer

Background

Perioperative blood transfusion reserves are limited, and the outcome of blood transfusion remains unclear. Therefore, it is important to prepare plans for perioperative blood transfusions. This study aimed to establish a risk assessment model to guide clinical patient management.

Methods

This retrospective comparative study involving 513 patients who had total gastrectomy (TG) between January 2018 and January 2021 was conducted using propensity score matching (PSM). The influencing factors were explored by logistic regression, correlation analysis, and machine learning; then, a nomogram was established.

Results

After assessment of the importance of factors through machine learning, blood loss, preoperative controlling nutritional status (CONUT), hemoglobin (Hb), and the triglyceride–glucose (TyG) index were considered as the modified transfusion-related factors. The modified model was not considered to be different from the original model in terms of performance, but is simpler. A nomogram was created, with a C-index of 0.834, and the decision curve analysis (DCA) demonstrated good clinical benefit.

Conclusions

A nomogram was established and modified with machine learning, which suggests the importance of the patient’s integral condition. This emphasizes that caution should be exercised regarding transfusions, and, if necessary, preoperative nutritional interventions or delayed surgery should be implemented for safety.

Nutritional Status Assessed with Objective Data Assessment Correlates with a High-Risk Foot in Patients with Type 2 Diabetes

Malnutrition and diabetes are likely to co-occur. There are few reports on the association between nutritional status and foot risk in patients with type 2 diabetes (T2D). Therefore, we aimed to investigate this relationship in this cross-sectional study. We investigated the relationships between objective data assessment (ODA), especially Controlling Nutritional Status (CONUT) score and foot risk, evaluated by the International Working Group on the Diabetic Foot (IWGDF), in consecutive patients with T2D. Patients were divided into groups 0 to 3 by IWGDF, and groups 1 to 3 were defined as high-risk groups. Among 469 patients, 42.6% (n = 200) of them had high-risk foot. Patients with high-risk foot were significantly older (71.2 ± 11.3 vs. 64.2 ± 13.4 years, p < 0.001) and had a longer duration of diabetes (18.0 ± 12.0 vs. 11.5 ± 10.0 years, p < 0.001) than those in the low-risk group. In the high-risk group, serum albumin level, total lymphocyte count, hemoglobin, and CONUT score were significantly worse, especially in older patients (≥75 years). Multivariate logistic regression analysis showed that there was a positive correlation between CONUT score and high-risk foot in older patients (OR, 1.37; 95% CI, 1.05−1.86; p = 0.021). Our results indicated that nutritional status, assessed by ODA, correlated with high-risk foot, especially in older patients with T2D.

CONUT Score: A New Tool for Predicting Prognosis in Patients with Advanced Thyroid Cancer Treated with TKI

Simple Summary

Many studies have shown that an impaired nutritional status correlated with a worse prognosis in cancer patients. The aim of our retrospective study was to evaluate the potential role of baseline Controlling Nutritional Status (CONUT score) in predicting prognosis of advanced thyroid cancer treated with tyrosine kinase inhibitors (TKI). We were able to confirm that baseline CONUT score significantly correlated with progression free survival (PFS) and overall survival (OS) and was the only independent prognostic factor for both outcomes. In particular, a CONUT score ≥3 was associated with a worse PFS and OS. The CONUT score represents a relatively new screening tool that is useful in predicting prognosis in thyroid cancer patients before the beginning of anti-tumoral treatment.

Abstract

(1) Background: The Controlling Nutritional Status (CONUT) score is an immuno-nutritional screening tool based on serum albumin, total cholesterol, and lymphocyte count. The aim of the study was to assess the CONUT score as a potential prognostic factor of response to therapy in patients with advanced thyroid cancer treated with tyrosine kinase inhibitors (TKIs). (2) Methods: We retrospectively evaluated 42 metastatic thyroid cancer patients (54.8% female). The median age at the time of TKI treatment was 69 years. Histological diagnosis was differentiated thyroid cancer in 66.7%, poorly differentiated thyroid cancer in 21.4%, and medullary thyroid cancer in 11.9% of patients. CONUT score was assessed before starting TKI therapy. (3) Results: Progression-free survival (PFS) and overall survival (OS) were significantly influenced by baseline CONUT score. The best CONUT cut-off able to predict the response to treatment was 3. Both PFS and OS were better in patients with CONUT score <3 than in those with CONUT score ≥3 (p < 0.0001). CONUT score was the only independent prognostic factor associated with PFS (p = 0.021) and OS (p = 0.007). (4) Conclusions: CONUT score represents a relatively new screening tool, easily applicable in clinical practice and potentially useful in predicting prognosis in thyroid cancer patients treated with TKIs.

Predictive Value of Objective Nutritional Indexes in Technique Failure in Peritoneal Dialysis Patients

OBJECTIVES

Patients undergoing peritoneal dialysis (PD) will encounter with a well-recognized challenge of technique failure (TF). We aimed to explore the predictive value of objective nutritional indexes in PD TF.

METHODS

This retrospective observational study included PD patients from August 2010 to March 2019. The Controlling Nutritional Status (CONUT) score, Prognostic Nutritional Index (PNI), and Geriatric Nutritional Risk Index (GNRI) were calculated at baseline. TF was defined as a permanent switch from PD to hemodialysis. Univariate and multivariate Cox regression was performed to investigate the association between confounding factors and outcomes. The optimal cut-off values were determined using receiver operating characteristic curve analysis. We used the Kaplan-Meier curve to compare the outcomes according to the cut-off values. The area under the curve (AUC) was used to test discriminative power of these objective nutritional indexes.

RESULTS

We analyzed 276 PD patients, 84 (30.43%) experienced TF during 2.5 (1.4, 4.0) years of follow-up. In the Kaplan-Meier analysis, patients with a higher CONUT score (>3), lower GNRI (≤85.77), and lower PNI (≤40.2) had significantly higher risk of TF (38.2% vs. 18.9%, P = .011; 39.6% vs. 25.1%, P = .043; 35.9% vs. 17.9%, P = .022; respectively). After adjusting confounding factors, a high CONUT score and low PNI were independently and significantly associated with TF analyzed by a multivariate Cox regression model (hazard ratio 2.284, 95% confidence interval [CI] 1.248-4.179, P = .007; hazard ratio 2.070, 95% CI 1.233-3.475, P = .006; respectively). The largest AUC to predict TF was PNI (AUC 0.600, 95% CI 0.539-0.658), followed by CONUT score (AUC 0.596, 95% CI 0.535-0.654) and GNRI (AUC 0.572, 95% CI 0.511-0.631).

CONCLUSIONS

The CONUT score and PNI are independently associated with TF in PD patients. Moreover, assessment of PNI and the CONUT score may provide more useful predictive values than GNRI.

Controlling Nutritional Status Score as a Predictive Marker of In-hospital Mortality in Older Adult Patients

The controlling nutritional status (CONUT) score assesses nutritional status and is associated with short- and long-term prognoses in some diseases, but the significance of the CONUT score for the prediction of in-hospital mortality in older adults is unknown. The purpose was to determine the importance of the CONUT score for the prediction of in-hospital mortality, short-term complications, length of hospital stay, and hospital costs in older adults. Our retrospective cohort study analyzed data from 11,795 older adult patients from two multicenter cohort studies. We performed receiver operating characteristic curve analysis using in-hospital mortality as the endpoint and determined the appropriate CONUT score cut-off by the Youden index. The patients were divided into two high and low groups according to the CONUT cut-off value, and the differences in clinical characteristics and in-hospital clinical outcomes between the two groups were compared. We compared the accuracy of the CONUT score and other nutrition-related tools in predicting in-hospital mortality by calculating the area under the receiver operating characteristic curve and performed univariate and multivariate analyses of predictors of in-hospital mortality. Among all the patients, 178 (1.5%) patients experienced in-hospital death. The optimal cut-off values was 5.5 for the CONUT score. The high CONUT group had a higher incidence of short-term complications and prolonged hospital stay than the low CONUT group (CONUT score <6), but hospital costs were not significantly higher. The CONUT score had the highest predictive ability for in-hospital mortality among the five nutrition-related parameters compared. Multivariate analysis showed that a high CONUT score (CONUT score ≥ 6) was an independent predictor of in-hospital mortality. In conclusion, the present study demonstrated that the CONUT score could be used to predict in-hospital mortality in older adults.

Platelet-to-albumin ratio: a risk factor associated with technique failure and mortality in peritoneal dialysis patients

Background

Peritoneal dialysis (PD) patients have a high incidence of poor clinical outcomes, which is related to the inflammatory and nutritional status of this population. Platelet-to-albumin ratio (PAR), recently identified as a useful biomarker to monitor inflammation and nutrition, can predict a poor prognosis in various diseases. The aim of this study was to investigate the association between PAR and technique failure and mortality in PD patients.

Methods

This single-center retrospective study enrolled 405 PD patients from 1 January 2011 to 31 December 2019 and collected complete demographic characteristics, clinical laboratory baseline data. The outcomes were technique failure and mortality. The associations between PAR and technique failure, death were analyzed by Cox proportional hazard models and competing risk regression models with kidney transplantation as a competing event. The areas under the curve (AUC) of receiver-operating characteristic analysis were used to determine the predictive values of PAR for technique failure and mortality.

Results

During a median follow-up period of 24.0 (range, 4.0–91.0) months, 139 (34.3%) PD patients experienced technique failure, 61 (15.1%) PD patients died. The patients with higher PAR levels had increased risk of technique failure and mortality. After adjustment for confounding factors, we found that high PAR levels were risk factor for both technique failure (subdistribution hazard ratio [SHR] 1.775; 95%CI, 1.157–2.720; p = 0.033] and mortality [SHR 3.710; 95%CI, 1.870–7.360; p < 0.001]. The predictive ability of PAR was superior to platelet and albumin based on AUC calculations for technique failure and mortality.

Conclusions

PAR was a risk factor associated with technique failure and mortality in PD patients.

Is CONUT score a predictor of morbidity in patients with adult transfusion dependent beta thalassemia?

OBJECTIVE

Increased life span with regular transfusion and iron chelator treatments enhances the importance of nutrition in beta thalassemia. Controlling Nutritional Status (CONUT) score is a nutritional index calculated on serum albumin, total cholesterol and lymphocyte count. We aim to evaluate need for transfusion and the clinical conditions which cause morbidity with CONUT score in patients with adult transfusion dependent beta thalassemia (BTD).

METHOD

We conducted a retrospective study at the Denizli Thalassemia Center. We used Mann Whitney Utest for comparing. We applied logistic regression analysis and ROC analysis to evaluate CONUT score and clinical effects.

RESULTS

A total of 102 patients with BTD were included. 89 were beta thalassemia major and 13 were transfusion dependent thalassemia intermedia (44 male,58 female). The median age was 26. The mean follow up period was 26 months. The median of CONUT score was 3.0 (min: 0-max: 6). CONUT score of 54 patients (52.9%) was high (≥3). We found significant difference with CONUT score ≥3 (median:32 units) and CONUT score of <3 (median:26.5 units) in terms of annual erythrocyte transfusion amount (p = 0.001). Low bone mass, vitamin D deficiency / insufficiency and hypogonadism were found to be more common with high CONUT score (≥3) (p = 0.001). CONUT score is a distinguishing parameter for hypogonadism (p = 0.001; AUC = 0.922) and low bone mass (p = 0.001; AUC = 0.867).

CONCLUSION

CONUT score can be used as a predictor to evaluate need for transfusion and morbidity of patients with BTD. If nutritional status is closely followed with CONUT score and nutritional deficiency is corrected, cost and complications will be decreased and expanctancy of life can be increased.

Controlling nutritional status score as a prognostic marker to predict overall survival in resected biliary tract cancers

Background

The aim of our study was to explore the prognostic significance of the preoperative controlling nutritional status (CONUT) score and establish a nomogram to predict overall survival (OS) and to achieve a more accurate prognostic risk stratification.

Methods

Clinicopathological records of 371 patients who underwent surgical resection for biliary tract cancers (BTC) from December 2002 to December 2017 were reviewed retrospectively. The associations of the CONUT score with clinicopathological factors and OS were evaluated. Univariate and multivariable Cox regression analysis were used to screen out independent predictors. A nomogram was developed and validated to estimate OS.

Results

The CONUT score was an independent predictor of OS [hazard ratio 1.478, 95% confidence interval (CI), 1.078-2.025, P=0.015]. And patients with a high CONUT score tended to have a poor prognosis with poor differentiation (P=0.011) of tumor cells and longer hospital stays (P=0.046). Besides the CONUT score, carbohydrate antigen 19-9, surgical method, and the American Joint Committee on Cancer (AJCC; 7th edition) TNM stage were contained in the final prognostic model. An OS nomogram was generated to visually predict 1-, 3-, and 5-year OS. The C-index was 0.714 (95% CI, 0.673-0.755) and 0.679 (95% CI, 0.616-0.742) in the development and validation cohort respectively. The nomogram provided superior discriminative power than the AJCC TNM staging system. The nomogram also demonstrated good risk stratification power in the entire cohort of BTC patients as well as for both BTC and surgical method subgroups.

Conclusions

The nomogram based on the CONUT score can predict OS in patients with BTCs, and it performed better than the AJCC TNM staging system.

Prognostic Potential of the Preoperative Controlling Nutritional Status (CONUT) Score in Predicting Survival of Patients with Cancer: A Systematic Review

The nutritional status of a patient has prognostic potency concerning short- and long-term outcomes, including survival, in many diseases. The controlling nutritional status (CONUT) score is a method for assessing nutritional status and predicting outcomes of several diseases. This study sought to systematically identify the prognostic role of preoperative CONUT score on posttreatment overall survival (OS), recurrence-free survival (RFS), and cancer-specific survival (CSS) in patients with cancer. The PubMed, SCOPUS, and Google Scholar databases and Google were searched for all dates until December 2019. Original articles investigating the association of preoperative CONUT score with survival in cancer patients who underwent surgery were included. Duplicate and irrelevant reports were screened out and the remaining articles assessed for quality and data extracted during critical analysis. Results of multivariate analysis were used to evaluate the prognostic competence of CONUT score in predicting survival. The search method identified an initial 181 articles, of which 32 were included in the final analysis. Lower OS, CSS, and RFS rates were reported by 100%, 100%, and 87.0% of the included studies, respectively, in cancer patients with high CONUT scores. A prognostic role of the CONUT score for prediction of OS, CSS, and RFS in cancer patients was shown by 91.7%, 90.9%, and 52.6% of the studies, respectively. The receiver operating characteristic curve area under the curve (AUC) value of the CONUT score for predicting OS, CSS, and RFS was at an acceptable level (>0.5) in all studies with available AUC values (n = 19). Sixty percent (12 of 20) of the studies reported that high CONUT score was significantly related to lower BMI. The findings promote confidence that a high preoperative CONUT score is associated with poor survival rate and is an independent prognostic factor of OS and CSS in patients with various types of cancer. Evaluation of the preoperative CONUT score might help clinicians in decision-making with respect to surgical implications.

Evaluation of objective nutritional indexes as predictors of worse outcomes in peritoneal dialysis patients

OBJECTIVES

Objective nutritional indexes have been shown to predict prognosis in some clinical settings. We aimed to explore the predictive values of these indexes in patients undergoing peritoneal dialysis (PD).

METHODS

This is a single-center retrospective observational study in patients undergoing PD. The controlling nutritional status (CONUT) score, prognostic nutritional index (PNI), and geriatric nutritional risk index (GNRI) were calculated at baseline. The primary outcome was all-cause mortality. The secondary outcome was new-onset cardiocerebrovascular disease (CVD) events. Univariate and multivariate Cox regressions were performed to investigate the association between confounding factors and outcomes. The optimal cutoff values were determined using a receiver operating characteristic curve analysis. We used the Kaplan-Meier curve to compare the outcomes according to the cutoff values. The area under the curve (AUC) was used to test discriminative power of these objective nutritional indexes.

RESULTS

We analyzed 252 patients undergoing PD at our institution. On the Cox hazard analysis, the CONUT score, PNI, and GNRI were independently associated with all-cause mortality (CONUT: hazard ratio [HR]: 1.496; 95% confidence interval (CI), 1.241-1.804; P < 0.001; PNI: HR: 0.878; 95% CI, 0.815-0.946; P = 0.001; and GNRI: HR: 0.930; 95% CI, 0.885-0.978; P = 0.040) and CVD incidence (CONUT: HR: 1.385; 95% CI, 1.177-1.630; P < 0.001; PNI: HR: 0.885; 95% CI, 0.826-0.949; P = 0.001; and GNRI: HR: 0.936; 95% CI, 0.893-0.981; P = 0.005). In the Kaplan-Meier analysis, patients with a higher CONUT score and lower PNI had significantly higher incidence of all-cause mortality (17.7% versus 3.0%; P = 0.022; 24.3% versus 5.7%, P = 0.003, respectively). As for new-onset CVD, patients with a higher CONUT score, lower PNI, and lower GNRI had higher occurrence rates (19.4% versus 3.0%; P = 0.006; 28.7% versus 7.9%; P = 0.001; 24.4% versus 9.9%; P = 0.035, respectively). The largest AUC to predict all-cause mortality was the CONUT score (AUC: 0.733; 95% CI, 0.674-0.787). For CVD prevalence, the largest AUC was the PNI (AUC: 0.718; 95% CI, 0.658-0.773).

CONCLUSIONS

Objective nutritional indexes were independently associated with all-cause mortality and CVD events in patients undergoing PD. Moreover, assessments of the CONUT score and PNI may provide more useful predictive values than GNRI.

Serum copper, zinc and metallothionein serve as potential biomarkers for hepatocellular carcinoma

BACKGROUND

Copper (Cu) and zinc (Zn) are essential nutrients and cofactors of enzymatic reactions with their binding partner. Metallothionein (MT) plays an important role in protecting against heavy metals and oxidative injury, however it may also portend drug resistance and a worse prognosis for hepatocellular carcinoma (HCC) patients. The aim of this study was to determine the amount of Cu, Zn, Cu/Zn and MT in evaluating a group of patients with HCC, including those treated with lenvatinib.

METHODS

We enrolled 175 patients with HCC (139 men, 36 women; mean age 71.1 years; hepatitis C virus n = 85, hepatitis B virus n = 19, hepatitis C virus and hepatitis B virus n = 2, non-alcoholic steatohepatitis n = 39, alcohol n = 25, others n = 5; Child-Pugh A n = 141, Child-Pugh B n = 30, Child-Pugh C n = 4; Barcelona clinic liver cancer (BCLC) stage 0 n = 38, stage A n = 56, stage B n = 39, stage C n = 38, stage D n = 4). We evaluated the associations between Cu, Zn and MT. The study outcome was liver cancer-specific survival. Moreover, we treated 12 HCC patients with lenvatinib and investigated the changes in MT during lenvatinib therapy.

RESULTS

The serum level of Cu was positively correlated with alanine aminotransferase and the BCLC stage. The serum level of Zn decreased concordant with liver disease progression. Patients with a Cu/Zn ratio≥0.999 had significantly improved rates of survival when compared to patients with a Cu/Zn ratio<0.999 (45.3 vs. 30.1 months, p<0.001). MT was significantly correlated with the Cu/Zn ratio and increased after the administration of lenvatinib. Using multivariate Cox regression analyses, it was determined that the Cu/Zn ratio (hazard ratio [HR]: 1.442, p = 0.008), alpha-fetoprotein (HR: 1.000, p<0.001) and BCLC stage (HR: 2.087, p<0.001) were independent predictors of survival.

CONCLUSIONS

The Cu/Zn ratio could serve as a useful predictive marker for survival in cases of HCC. MT levels increased in HCC patients receiving lenvatinib therapy, and maybe a predictor of reduced survival.