Nutritional Status is Associated with Inflammation and Predicts a Poor Outcome in Patients with Chronic Heart Failure

Prognostic impact of malnutrition in patients with coronary artery disease: a systematic review and meta-analysis

CONTEXT

Conflicting predictions of malnutrition for the long-term prognosis of coronary artery disease (CAD) exist.

OBJECTIVE

This study aimed to investigate the relationship between malnutrition and long-term prognosis of patients with CAD.

DATA SOURCES

Four databases were searched for articles from February 11, 1936, to September 10, 2022.

DATA EXTRACTION

Cohort studies adjusting for multiple cardiovascular risk factors with data on CAD and malnutrition were included. Malnutrition was measured and defined by different nutritional evaluation tools. The hazard ratios (HRs) and confidence intervals (CIs) for all-cause mortality and major adverse cardiovascular events (MACEs) were synthesized. Subgroup analyses were performed based on study design, assessment tools, ethnicity/race, follow-up, sample size, and types of CAD. Meta-regression was used to compare whether the effect sizes of the 2 subgroups were statistically significant.

DATA ANALYSIS

A total of 30 cohort studies were included, totaling 81 361 participants with CAD. Nutritional evaluation tools, including the Geriatric Nutritional Risk Index (GNRI), Controlling Nutritional Status (CONUT), Nutritional Risk Screening 2002, Mini-Nutritional Assessment, and Prognostic Nutritional Index, were used. Malnutrition increased all-cause mortality (HR = 1.72; 95% CI: 1.53, 1.93) and MACEs (HR = 1.47; 95% CI: 1.35, 1.60) in patients with CAD. Subgroup analysis revealed the results were consistent across study design, ethnicity/race, follow-up, sample size, and types of CAD. Subgroup analyses and meta-regression revealed that malnutrition was associated with a higher risk of all-cause mortality (HR = 2.26; 95% CI: 1.91, 2.68) and MACEs (HR = 2.28; 95% CI: 1.69, 3.08) in patients with stable CAD than those with other types of CAD. Meta-regression revealed that the GNRI (HR = 2.20; 95% CI: 1.65, 2.93) was more effective than CONUT (HR = 1.47; 95% CI: 1.21, 1.78) in predicting all-cause mortality.

CONCLUSION

Malnutrition independently increased all-cause mortality by 72% and MACEs by 47% in patients with CAD, especially with stable CAD. The GNRI is a more effective nutritional evaluation tool than CONUT in predicting all-cause mortality.

Geriatric nutrition risk index in the prediction of all-cause and cardiovascular mortality in older adults with hyperlipidemia: NHANES 1999-2018

BACKGROUND

Malnutrition is linked to a higher risk of unfavorable outcomes in various illnesses. The present investigation explored the correlation between inadequate nutritional condition and outcomes in older individuals diagnosed with hyperlipidemia.

METHODS

The geriatric nutritional risk index (GNRI) was used to evaluate the nutritional status. All patients were divided into two groups according to GNRI. A Kaplan-Meier analysis was used to assess the survival rates of different groups at risk of malnutrition. In addition, GNRI was used in COX proportional risk regression models to evaluate its predictive effect on both overall mortality and cardiovascular mortality among patients with hyperlipidemia. Furthermore, the study employed restricted cubic splines (RCS) to examine the nonlinear correlation between GNRI and mortality.

RESULTS

The study included 4,532 elderly individuals diagnosed with hyperlipidemia. During a median follow-up duration of 139 months, a total of 1498 deaths from all causes and 410 deaths from cardiovascular causes occurred. The Kaplan-Meier analysis demonstrated significantly poorer survival among individuals at risk of malnutrition, as indicated by the GNRI. In the malnutrition risk group, the modified COX proportional hazards model revealed that a decrease in GNRI was associated with a higher risk of all-cause mortality (HR=1.686, 95% CI 1.212-2.347) and cardiovascular mortality (HR=3.041, 95% CI 1.797-5.147). Furthermore, the restricted cubic splines revealed a non-linear association between GNRI and both all-cause mortality and cardiovascular mortality (p-value for non-linearity = 0.0039, p-value for non-linearity=0.0386).

CONCLUSIONS

In older patients with hyperlipidemia, lower levels of GNRI are associated with mortality. The GNRI could potentially be used to predict all-cause mortality and cardiovascular mortality.

Growth differentiation factor-15 and metabolic features in chronic heart failure: Insights from the SUPPORT Trial -GDF15 across the BMI spectrum

BACKGROUND

GDF15 plays pivotal metabolic roles in nutritional stress and serves as a physiological regulator of energy balance. However, the patterns of GDF15 levels in underweight or obese patients with chronic heart failure (CHF) are not well-understood.

METHODS

We assessed serum GDF15 levels at baseline and 3 years and the temporal changes in 940 Japanese patients (642 paired samples), as a sub-analysis of the SUPPORT trial (age 65.9 ± 10.1 years). The GDF15 levels were analyzed across BMI groups (underweight [<18.5 kg/m2; n = 50], healthy weight [18.5-22.9; n = 27 5], overweight [23-24.9; n = 234], and obese [≥25; n = 381]), following WHO recommendations for the Asian-Pacific population. Landmark analysis at 3 years assessed the association between GDF15 levels and HF hospitalization or all-cause death.

RESULTS

Compared to the healthy weight group, the underweight group included more females (54.0%) with advanced HF (NYHA class III; 20.0%) and exhibited increased GDF15 level (1764 pg/mL [IQR 1067-2633]). Obese patients, younger (64.2 years) and diabetic (53%), had a similar GDF15 level to the healthy weight group. A higher baseline GDF15 level was associated with worse outcomes across the BMI spectrum. GDF15 increased by 208 [21-596] pg/mL over 3 years, with the most substantial increase observed in the underweight group (by +28.9% [6.2-81.0]). Persistently high GDF15 levels (≥1800 pg/mL) was independently associated with worse outcomes after 3 years (adjusted HR 1.8 [95%CI 1.1-2.9]).

CONCLUSIONS

In underweight patients with CHF, GDF15 level was elevated at baseline and experienced the most significant increase over 3 years. Its consistent elevation suggested a worse outcome.

The clinical value of nutritional and inflammatory indicators in predicting pneumonia among patients with intracerebral hemorrhage

Immunosuppression and malnutrition play pivotal roles in the complications of intracerebral hemorrhage (ICH) and are intricately linked to the development of stroke-associated pneumonia (SAP). Inflammatory markers, including NLR (neutrophil-to-lymphocyte ratio), SII (systemic immune inflammation index), SIRI (systemic inflammatory response index), and SIS (systemic inflammation score), along with nutritional indexes such as CONUT (controlling nutritional status) and PNI (prognostic nutritional index), are crucial indicators influencing the inflammatory state following ICH. In this study, our objective was to compare the predictive efficacy of inflammatory and nutritional indices for SAP in ICH patients, aiming to determine and explore their clinical utility in early pneumonia detection. Patients with severe ICH requiring ICU admission were screened from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The outcomes included the occurrence of SAP and in-hospital death. Receiver operating characteristic (ROC) analysis, multivariate logistic regression, smooth curve analysis, and stratified analysis were employed to investigate the relationship between the CONUT index and the clinical outcomes of patients with severe ICH. A total of 348 patients were enrolled in the study. The incidence of SAP was 21.3%, and the in-hospital mortality rate was 17.0%. Among these indicators, multiple regression analysis revealed that CONUT, PNI, and SIRI were independently associated with SAP. Further ROC curve analysis demonstrated that CONUT (AUC 0.6743, 95% CI 0.6079-0.7408) exhibited the most robust predictive ability for SAP in patients with ICH. Threshold analysis revealed that when CONUT < 6, an increase of 1 point in CONUT was associated with a 1.39 times higher risk of SAP. Similarly, our findings indicate that CONUT has the potential to predict the prognosis of patients with ICH. Among the inflammatory and nutritional markers, CONUT stands out as the most reliable predictor of SAP in patients with ICH. Additionally, it proves to be a valuable indicator for assessing the prognosis of patients with ICH.

Development of a machine learning-based model to predict major adverse events after surgery for type A aortic dissection complicated by malnutrition

Objective

This study aims to develop a predictive model for the risk of major adverse events (MAEs) in type A aortic dissection (AAAD) patients with malnutrition after surgery, utilizing machine learning (ML) algorithms.

Methods

We retrospectively collected clinical data from AAAD patients with malnutrition who underwent surgical treatment at our center. Through least absolute shrinkage and selection operator (LASSO) regression analysis, we screened for preoperative and intraoperative characteristic variables. Based on the random forest (RF) algorithm, we constructed a ML predictive model, and further evaluated and interpreted this model.

Results

Through LASSO regression analysis and univariate analysis, we ultimately selected seven feature variables for modeling. After comparing six different ML models, we confirmed that the RF model demonstrated the best predictive performance in this dataset. Subsequently, we constructed a model using the RF algorithm to predict the risk of postoperative MAEs in AAAD patients with malnutrition. The test set results indicated that this model has excellent predictive efficacy and clinical applicability. Finally, we employed the Shapley additive explanations (SHAP) method to further interpret the predictions of this model.

Conclusion

We have successfully constructed a risk prediction model for postoperative MAEs in AAAD patients with malnutrition using the RF algorithm, and we have interpreted the model through the SHAP method. This model aids clinicians in early identification of high-risk patients for MAEs, thereby potentially mitigating adverse clinical outcomes associated with malnutrition.

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

PURPOSE

This study aimed to evaluate the relationship between nutritional status and hospital outcomes in patients with chronic limb-threatening ischemia (CLTI) in a local area of contemporary super-aged society of Japan.

MATERIALS AND METHODS

We analyzed 131 consecutive patients with 179 lower limb diseases admitted to our hospital for the treatment of CLTI between April 2018 and March 2023. These 131 patients were divided into 3 groups according to hospital outcomes: home discharge (HD), out-of-home discharge (OD), and in-hospital death (ID). Patient and lesion backgrounds were compared among the 3 groups, and a multivariable regression analysis was used to analyze the interaction between malnutrition and composite hard endpoints.

RESULTS

The median age was 82.8 years, and non-ambulatory patients comprised 61.8% of the study population. The HD group included more ambulatory and fewer patients with higher CONUT score or inflammation than OD or ID group. The Rutherford classification and Wound, Ischemia, and foot Infection stage were significantly more severe in the ID group than in the HD group. Endovascular treatment (EVT) was more often implemented in the HD (94.9%) and OD (81.7%) groups than in the ID group (60.0%). However, all EVT procedures in the ID group were performed until as distally as possible to achieve the target arterial path success contrary to some EVT procedures in the HD or ID group that targeted lesions only above the knee. Multivariate analysis showed that a non-ambulatory state (hazard ratio [HR]=3.65, 95% confidence interval [CI]=1.48-9.02) and a higher controlling nutritional status (CONUT) score (≥5) (HR=7.46, 95% CI=1.66-33.6) were significant predictors for composite endpoints (major amputation or ID). Patients with lower CONUT scores (≤4) showed better outcomes in all indices including overall survival, major amputation-free survival, and wound healing.

CONCLUSION

Condition of the CLTI patients represented by higher CONUT score emerged as the most influential predictor of major amputation or ID. Furthermore, non-ambulatory status or condition of higher CONUT score affects the destination after discharge. Implementing multidisciplinary approaches to address patients' nutritional state and physical disability, in addition to revascularization, may enhance comprehensive prognoses in patients with CLTI.

CLINICAL IMPACT

In this single-center retrospective study, we analyzed prognoses of 131 consecutive patients with 179 lower limb diseases admitted for the treatment of chronic limb-threatening ischemia (CLTI) between April 2018 and March 2023. Our main finding was that condition of the CLTI patients represented by higher controlling nutritional status (CONUT) score was the most significant predictor of either major amputation or in-hospital death. Furthermore, condition of higher CONUT score or non-ambulatory status affects the destination after discharge. This suggests that multidisciplinary approaches to address patients' nutritional state and physical disability, in addition to revascularization, may enhance the prognosis in patients with CLTI. This is the first report to evaluate nutritional status associated with comprehensive hospital outcomes in addition to previously reported hard endpoints, such as major amputation or overall survival, and will be of great help in future clinical practice.

Natriuretic peptides and C-reactive protein in in heart failure and malnutrition: a systematic review and meta-analysis

BACKGROUND

Heart failure (HF) and malnutrition exhibit overlapping risk factors, characterized by increased levels of natriuretic peptides and an inflammatory profile. The aim of this study was to compare the differences in plasma brain natriuretic peptide (BNP), N-terminal-pro B-type natriuretic peptide (NT-proBNP), and C-reactive protein (CRP) in patients with HF and malnutrition versus normal nutrition.

METHODS

From inception until July 2023, the databases, PubMed, Scopus, Web of Science, and Cochrane Library were searched. To examine the association among malnutrition [controlling nutritional status (CONUT) score ≥2; Geriatric Nutritional Risk Index (GNRI) score <92] with BNP, NT-proBNP and CRP in patients with HF, a meta-analysis using a random-effects model was conducted (CRD42023445076).

RESULTS

A significant association of GNRI with increased levels of BNP were demonstrated [mean difference (MD): 204.99, 95% confidence interval (CI) (101.02, 308.96, I2 = 88%, P < 0.01)], albeit no statistically significant findings were shown using CONUT [MD: 158.51, 95% CI (-1.78 to 318.79, I2 = 92%, P = 0.05)]. GNRI [MD: 1885.14, 95% CI (1428.76-2341.52, I2 = 0%, P < 0.01)] and CONUT [MD: 1160.05, 95% CI (701.04-1619.07, I2 = 0%, P < 0.01)] were associated with significantly higher levels of NT-proBNP. Patients with normal GNRI scores had significantly lower levels of CRP [MD: 0.50, 95% CI (0.12-0.88, I2 = 87%, P = 0.01)] whereas significantly higher levels of CRP were observed in those with higher CONUT [MD: 0.40, 95% CI (0.08-0.72, I2 = 88%, P = 0.01)]. Employing meta-regression, age was deemed a potential moderator between CRP and GNRI.

CONCLUSIONS

Normal nutrition scores in patients with HF are linked to lower BNP, NT-proBNP, and CRP levels compared with malnourished counterparts. Despite the significant link between CRP and malnutrition, their relationship may be influenced in older groups considering the sensitivity of GNRI due to ageing factors.

Controlling Nutritional Status (CONUT) score is a novel marker of type 2 diabetes mellitus and diabetic microvascular complications

OBJECTIVES

Type 2 diabetes mellitus (T2DM) and its microvascular complications are characterized by chronic inflammation. The Controlling Nutritional Status (CONUT) score is a tool used to assess nutritional status and is often associated indirectly with inflammatory processes. We aimed to compare the CONUT scores of T2DM patients with those of healthy volunteers and to compare T2DM patients with and without microvascular complications.

METHODS

Patients diagnosed with T2DM and healthy volunteers (as controls) were included in the study. The CONUT score is calculated using the following formula: serum albumin score + total cholesterol score + total lymphocyte count score. CONUT scores of T2DM patients and healthy controls, as well as those of diabetics with and without microvascular complications, were compared.

RESULTS

The CONUT scores of the T2DM and control groups were (1 [0-7]) and (0 [0-2]), respectively (p < 0.001). The sensitivity and specificity of the CONUT score (<1.5 threshold) in detecting T2DM were 43% and 90%, respectively (AUC: 0.67, p < 0.001, 95% CI: 0.64-0.71). Moreover, the CONUT score was an independent risk factor for T2DM (OR: 0.34, p < 0.001, 95% CI: 0.22-0.52). The CONUT score of T2DM patients with microvascular complications (2 [0-7]) was significantly higher than that of T2DM patients without microvascular complications (0 [0-4]) and control subjects (0 [0-2]) (p < 0.001). A CONUT score higher than 1.5 had 83% sensitivity and 92% specificity in detecting T2DM with microvascular complications (AUC: 0.91, p < 0.001, 95% CI: 0.89-0.93).

CONCLUSION

The CONUT score could be useful in detecting diabetic microvascular complications in clinical practice, as it is an inexpensive and easy-to-assess marker.

Controlling the nutritional status score: a new tool for predicting postoperative mortality in patients with infrarenal abdominal aortic aneurysm treated with endovascular aneurysm repair

Background

AAA is a fatal condition that commonly occurs during vascular surgery. Nutritional status exerts a significant influence on the prognosis of various pathological conditions Scores from the CONUT screening tool have been shown to predict outcomes of certain malignancies and chronic diseases. However, the ramifications of nutritional status on AAA patients undergoing EVAR have not been elucidated in prior studies. In this study, we aimed to elucidate the correlation between CONUT scores and postoperative prognostic outcomes in patients with AAA undergoing EVAR.

Methods

This was a retrospective review of 177 AAA patients treated with EVAR from June 2018 to November 2019 in a single center. Patient characteristics, CONUT scores, and postoperative status were collected. These patients were stratified into groups A and B according to CONUT scores. Subsequently, a comparative analysis of the baseline characteristics between the two cohorts was conducted. Cox proportional hazards and logistic regression analyses were employed to identify the autonomous predictors of mid-term mortality and complications, respectively.

Results

Compared with group A, patients in group B had higher midterm mortality (p < 0.001). Univariate analysis showed that CONUT scores; respiratory diseases; stent types; preoperative Hb, CRP, PT, and Fb levels were risk factors for death. Multivariate analysis confirmed that CONUT score [HR, 1.276; 95% CI, 1.029-1.584; p = 0.027] was an independent risk factor for mortality. Logistic regression analysis showed that prior arterial disease, smoking, and D-dimer levels were risk factors, although multivariate analysis showed smoking (OR, 3.492; 95% CI, 1.426-8.553; p = 0.006) was an independent risk factor. Kaplan-Meier curves showed that patients in group B had shorter mid-term survival than those in group A (log-rank p < 0.001).

Conclusion

Malnutrition was strongly associated with mid-term mortality in patients with infrarenal AAA treated with EVAR.

The Relationship Between Controlling Nutritional Assessment Score and Mortality in Patients with Chronic Coronary Syndrome: A Retrospective Study from Türkiye

BACKGROUND

Controlling Nutritional Assessment (CONUT) score has been shown to have a higher predictive value compared to other nutritional scores in acute coronary syndrome.

AIM

To determine the relationship between CONUT score and long-term mortality in patients with chronic coronary syndrome (CCS).

METHODS

Between 2017 and 2020, 585 consecutive patients newly diagnosed and proven to have CCS by coronary angiography were included in the study. CONUT score and demographic and laboratory data of all patients were evaluated. The relationship between results and mortality was evaluated.

RESULTS

The mean age of the patients was 64 years and 75% were male. Mortality was observed in 56 (9.6%) patients after a median follow-up period of 3.5 years. The median CONUT score was significantly higher in patients with mortality (P < 0.001). In multivariate regression analysis, the CONUT score was associated with mortality (Hazard ratio (HR): 1.63 (95% confidence interval (CI): 1.34-1.98 P < 0.001)). The area under curve (AUC) for long-term mortality estimation for the CONUT score was 0.75 (95% CI 0.67-0.82 P < 0.001). When the CONUT score value was accepted as 0.5, the sensitivity was 78% and the specificity was 60.

CONCLUSION

CONUT score was found to be predictive of mortality in long-term follow-up of patients with CCS.

Association between nutritional risk status and health related quality of life: An investigation on the aging patients with cardiovascular disease

Introduction

Acknowledging the considerable influence of undernutrition on health outcomes and HRQOL, this study sought to appraise the nutritional risk status of elderly patients with cardiovascular diseases (CVD) through the utilization of the Nutritional Risk Screening (NRS). Additionally, the investigation aimed to evaluate the correlation between NRS status and HRQOL within the context of patients referred to a cardiac hospital in Tabriz, Iran.

Methods

This cross-sectional study was conducted in Tabriz, Iran. The participants were selected randomly from patients referring to Shahid Madani Heart Hospital, a comprehensive university hospital during July to December 2018. A linear regression was used for control of confounding variables (age, gender, education level, marital status, and income levels) and predict the relationship between nutrition risk status and HQRL.

Results

Of the 200 patients with CVD participated in this study, 68 (34%) of participants had normal nutrition status, 108 (54%) were at risk for undernutrition, and 24 (12%) had undernutrition. A total of 24 aging patients with undernutrition, 13 (54%) were divorced or widowed. 86% of patients with diabetes were at risk for undernutrition and 13.9% had undernutrition. There were statistically significant relationship between undernutrition and HRQOL dimensions, age, gender, and marital status.

Conclusion

The study revealed a correlation between elevated undernutrition scores in patients and factors such as older age, female gender, and marital status of being divorced or widowed. Furthermore, the results imply that a notable elevation in the risk score for undernutrition in patients is significantly linked to impaired HRQOL among elderly individuals with CVD.

Preprocedural Controlling Nutritional Status Score as a Predictor of Mortality in Patients Undergoing Transcatheter Mitral Valve Repair - A Single Center Experience in Japan

Background: A high score for controlling nutritional status (CONUT) due to poor nutritional status has been associated with adverse outcomes in patients with chronic heart failure. However, because little is known about the effect of CONUT score on mortality rates after transcatheter mitral valve repair, we evaluated nutrition screening tools for prognosis prediction in patients undergoing transcatheter mitral valve repair using the MitraClipTM system. Methods and Results: We retrospectively analyzed 148 patients with severe mitral regurgitation (MR) who underwent MitraClipTM implantation between April 2018 and April 2021. The preprocedural CONUT scores were assessed at the time of hospitalization, the primary outcome was all-cause death, and the analysis was of the mortality and incidence rates of cardiac events 1 year post-operation. Functional MR was of ischemic origin in the majority of patients (69.6%), with a mean left ventricular ejection fraction of 48.9±15.8%. Kaplan-Meier curves indicated that all-cause death was significantly worse in the high-CONUT score group than in the low-CONUT score group. Cox hazard analysis showed a significant association between all-cause death and CONUT score, as well as MitraScore. Conclusions: Preprocedural CONUT score, as well as MitraScore, in patients undergoing transcatheter edge-to-edge mitral valve repair may predict an increased risk of all-cause death. This knowledge should allow the heart team to accurately assess the clinical implications and prognostic benefits of the procedure in individual patients.

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

BACKGROUND

Although the prognostic value of the Controlling Nutritional Status (CONUT) score in diffuse large B-cell lymphoma (DLBCL) has been reported in several previous studies, its clinical relevance for the presence of sarcopenia has not been assessed.

METHODS

In this study, 305 DLBCL patients were reviewed. They were categorized into normal/mild (n = 219) and moderate/severe (n = 86) CONUT groups. Sarcopenia was assessed using the L3-skeletal muscle index measured by baseline computed tomography imaging. Based on CONUT score and sarcopenia, patients were grouped: A (normal/mild CONUT and no sarcopenia), B (either moderate/severe CONUT or sarcopenia, but not both), and C (both moderate/severe CONUT and sarcopenia).

RESULTS

The moderate/severe CONUT group showed higher rates of ≥ grade 3 febrile neutropenia, thrombocytopenia, non-hematologic toxicities, and early treatment discontinuation not related to disease progression, compared to the normal/mild CONUT group. The moderate/severe CONUT group had a lower complete response rate (58.1% vs. 80.8%) and shorter median overall survival (18.5 vs. 162.6 months) than the normal/mild group. Group C had the poorest prognosis with a median survival of 8.6 months, while groups A and B showed better outcomes (not reached and 60.1 months, respectively). Combining CONUT score and sarcopenia improved the predictive accuracy of the Cox regression model (C-index: 0.763), compared to the performance of using either CONUT score (C-index: 0.754) or sarcopenia alone (C-index: 0.755).

CONCLUSIONS

In conclusion, the moderate/severe CONUT group exhibited treatment intolerance, lower response, and poor prognosis. Additionally, combining CONUT score and sarcopenia enhanced predictive accuracy for survival outcomes compared to individual variables.

The ability of the geriatric nutritional risk index to predict the risk of heart diseases in Korean adults: a Korean Genome and Epidemiology Study cohort

Introduction

The predictive ability of nutritional risk index on cardiovascular outcomes in middle-aged and non-hospitalized adults has not yet been reported. This study investigated whether the Geriatric Nutritional Risk Index (GNRI), an index for assessing the risk of developing malnutrition, could predict heart disease in middle-aged Korean adults.

Methods

The cohort used in this study consisted of 3,783 participants selected from 10,030 Korean adults who participated in the Ansan-Ansung cohort study as part of the Korean Genome and Epidemiology Study. The GNRI was determined based on serum albumin level, proportion of current weight, and ideal body weight. Participants were then divided into two groups: GNRI ≤98 and > 98, which corresponded to the risk of malnutrition and normal, respectively. The major outcome of this study was coronary artery disease (CAD) or congestive heart failure (CHF) during a 15-year-follow period.

Results

During the follow-up period spanning 2004-2018, 136 events of heart disease occurred. Using a Kaplan-Meier analysis, event-free rates were found to be associated with 90.5% on a GNRI ≤98 and 96.6% on a GNRI >98 (p < 0.0009). GNRI ≤98 showed a 3.2-fold (hazard ratio, 3.22; 95% credit interval, 1.49-6.96; p = 0.0029) increase in the incidence of heart disease, including CAD or CHF, compared with GNRI >98, after controlling for potential confounders.

Conclusion

Malnutrition risk confers a significantly increased risk for heart disease in middle-aged Koreans. Further studies with larger cohorts are needed to verify the efficacy of the GNRI in predicting disease risk in adults with pre-disease.

Association between Malnutrition and Coronary Plaque Characteristics in Patients with Acute Coronary Syndrome: An Optical Coherence Tomography Study

Background

Malnutrition has a negative impact on patients with arteriosclerotic cardiovascular disease (ASCVD); however, only a few studies have confirmed the effect of malnutrition on atherosclerosis. We aimed to investigate the association between malnutrition and vulnerable plaques via optical coherence tomography (OCT).

Methods

Overall, 142 acute coronary syndrome (ACS) patients were included in this study. Malnutrition was assessed using the Controlled Nutritional Status Score (CONUT), and plaque vulnerability was measured using OCT. Finally, patients were divided into four groups according to their CONUT scores and body mass index (BMI) ≥ 25.0 or not, to further compare the effects of both factors on plaque characteristics in patients.

Results

OCT results showed that there were significant differences in plaque rupture, thin cap fibroatheroma (TCFA), minimal fiber cap thickness (FCT), thrombus, and macrophage infiltration between different nutritional states [Absent (0-1) vs Mild (2-4) vs Moderate (5-8), plaque rupture: 34.8% vs 52.5% vs 66.7%, p = 0.038; TCFA: 10.1% vs 24.6% vs 33.3%, p = 0.039; minimal FCT: 125.0 vs 110.4 vs 96.9, p = 0.022; thrombus: 50.7% vs 70.5% vs 83.3%, p = 0.019]. Multivariate logistic regression showed that malnutrition was a significant predictor of plaque vulnerability. Plaque rupture: CONUT score (odds ratio [OR]: 1.448, 95% confidence interval [CI]: 1.136-1.845, p = 0.003), Mild (OR: 1.981, 95% CI: 0.932-4.210, p = 0.075), and Moderate (OR: 4.375, 95% CI: 1.048-18.255, p = 0.043); TCFA: CONUT score (OR: 1.334, 95% CI: 1.029-1.730, p = 0.030), Mild (OR: 3.518, 95% CI: 1.251-9.897, p = 0.017), and Moderate (OR: 4.863, 95% CI: 1.019-23.208, p = 0.047); and macrophage: CONUT score (OR: 1.343, 95% CI: 1.060-1.700, p = 0.015), Mild (OR: 3.016, 95% CI: 1.305-6.974, p = 0.010), and Moderate (OR: 4.637, 95% CI: 1.159-18.552, p = 0.030). Combined CONUT score and BMI showed an independent association with macrophages in the malnourished and overweight group (OR: 4.010, 95% CI: 1.188-13.537, p = 0.025).

Conclusions

Malnutrition is a predictor of vulnerable plaques and is associated with inflammatory progression.

Prognostic Value of Preoperative Controlling Nutritional Status in Hypopharyngeal Cancer Patients Undergoing Surgery-Oriented Comprehensive Treatment

OBJECTIVES

The preoperative controlling nutritional status (pCONUT) score has been shown correlated with the prognosis of some cancerous diseases; however, little is known about the effect of pCONUT score on hypopharyngeal cancer (HPC). Therefore, the objective of our study was to demonstrate the relationship between the pCONUT score and the clinical outcome of patients with HPC.

PATIENTS AND METHODS

Ninety-four patients with HPC who underwent surgery between May 2012 and Dec 2020 were enrolled in this study. We evaluated retrospectively their pCONUT scores and calculated the cutoff value regarding the patients' overall survival using the X-tile software. Kaplan-Meier and Cox proportional hazard regression model were used to determine how the pCONUT score affected overall survival.

RESULTS

A cutoff level of 4 was determined to be optimal for the pCONUT score, by which the patients were grouped into high pCONUT score (≥4, n = 22, 23.4%) or low pCONUT score (<4, n = 72, 76.6%) groups. The univariate analysis showed that high pCONUT scores correlated with reduced overall survival (hazard ratio: 2.925, 95% confidence interval: 1.526-5.607, P = .001). Furthermore, the multivariate analysis also showed that high pCONUT scores increased the risk of overall death (hazard ratio: 2.639, 95% confidence interval: 1.365-5.101, P = .004).

CONCLUSIONS

The pCONUT score is considered a useful prognostic factor in patients with HPC.

Geriatric nutritional risk index was associated with in-hospital mortality among cardiac intensive care unit patients

Background

Identifying risk factors associated with cardiac intensive care unit (CICU) patients' prognosis can help clinicians intervene earlier and thus improve their prognosis. The correlation between the geriatric nutrition risk index (GNRI), which reflects nutritional status, and in-hospital mortality among CICU patients has yet to be established.

Method

The present study retrospectively enrolled 4,698 CICU patients. Based on the nutritional status, the participants were categorized into four groups. The primary endpoint was in-hospital mortality. The length of hospital stay and length of CICU stay were the secondary endpoints. To explore the correlation between nutritional status and in-hospital mortality, a logistic regression analysis was conducted. The nonlinear associations of GNRI with in-hospital mortality were evaluated using restricted cubic spline (RCS). Furthermore, subgroup analyses were conducted to evaluate the effect of the GNRI on in-hospital mortality across different subgroups, with calculation of the p for interaction.

Result

A higher risk of malnutrition was significantly linked to an increased incidence of in-hospital mortality (High risk vs. No risk: 26.2% vs. 4.6%, p < 0.001), as well as a longer length of hospital stay (High risk vs. No risk: 15.7, 9.1-25.1 vs. 8.9, 6.9-12.9, p < 0.001) and CICU stay (High risk vs. No risk: 6.4, 3.8-11.9 vs. 3.2, 2.3-5.1, p < 0.001). An elevated GNRI was significantly associated with an increased risk of in-hospital mortality even after controlling for pertinent confounding factors (High risk vs. No risk: OR, 95% CI: 2.37, 1.67-3.37, p < 0.001, p for trend <0.001). Additionally, the RCS model showed a linear relationship between GNRI and in-hospital mortality, with the risk of in-hospital mortality significantly decreasing as GNRI increased (non-linear p = 0.596). Furthermore, in the subgroups of hypertension, ventricular arrhythmias, cardiac arrest, shock, and chronic kidney disease, there was a significant interaction between nutritional status and in-hospital mortality.

Conclusion

Among CICU patients, a low GNRI was a significant predictor of in-hospital mortality. Furthermore, patients with a higher risk of malnutrition, as indicated by low GNRI values, experienced significantly longer hospital and CICU stays.

Prognostic impacts of geriatric nutritional risk index in patients with ischemic heart failure after percutaneous coronary intervention

BACKGROUND

Malnutrition has been proven to be associated with increased risk of poor prognosis in a series of diseases. This study explored the association between poor nutritional status and prognosis in patients with ischemic heart failure (IHF) undergoing percutaneous coronary intervention (PCI).

METHODS

The study enrolled 1745 patients with IHF undergoing PCI. The mean follow-up time was 28.7 months. Nutritional status was assessed by geriatric nutritional risk index (GNRI). All patients were divided into four groups according to GNRI quartiles (median and interquartile range: 103.8, 99.9-107.7). The primary endpoint was major adverse cardiovascular events (MACE), and the secondary endpoints were each component of the primary endpoint as follows: all-cause mortality, non-fatal myocardial infarction (MI), and any revascularization. The Kaplan-Meier survival analyses were performed to evaluate the incidence of the endpoints among 4 groups. The multivariate Cox proportional hazards analysis confirmed the independent effect of GNRI on the primary endpoint and secondary endpoints. The restricted cubic spline (RCS) was performed to evaluate the non-linear association of GNRI with MACE.

RESULT

The negative correlation of the GNRI with MACE (Log-rank P < 0.001), all-cause mortality (Log-rank P < 0.001) and any revascularization (Log-rank P < 0.001) was confirmed through the Kaplan-Meier curves. Multivariate analysis showed that the decreased GNRI was independently related to increased risk of MACE (Quartile 1 versus Quartile 4: HR, 95% CI: 2.66, 2.01-3.51, P < 0.001), all-cause mortality (Quartile 1 versus Quartile 4: HR, 95% CI: 2.33, 1.54-3.50, P < 0.001) and any revascularization (Quartile 1 versus Quartile 4: HR, 95% CI: 3.42, 2.22-5.27, P < 0.001). In addition, the non-linear association of GNRI with MACE was shown through RCS and the risk of MACE decreased as the GNRI increased in general (Non-linear P < 0.001).

CONCLUSION

Decreased GNRI was an independent risk factor of MACE in IHF patients undergoing PCI.

Controlling nutritional status score predicts 2-year outcomes in elderly patients admitted for acute heart failure

BACKGROUND

Heart failure (HF) is a major cause of death among the elderly. Its prevalence increases dramatically with age. The prevalence of malnourished subjects is high in hospitalized elderly patients. We aimed to investigate the prognostic role of malnutrition, assessed by controlling nutritional status (CONUT) score, on adverse clinical outcomes in the elderly admitted for acute HF.

METHODS

We enrolled 293 patients (mean age 84 years; 48% men) consecutively admitted for acute HF to the Internal Medicine or Geriatrics Divisions at the 'IRCCS Sacro Cuore-Don Calabria' Hospital of Negrar (Verona, Italy) from 2013 to 2015. We predicted the risk of all-cause death, re-hospitalizations for HF and non-HF causes, and the composite of all-cause death or hospitalizations over 2-year follow-up. Patients were divided into four groups according to CONUT score: normal-CONUT (0-1; n = 30); mild-CONUT (2-3; n = 56); moderate-CONUT (4-7; n = 171); and severe-CONUT (≥ 8; n = 36).

RESULTS

Higher CONUT scores were associated with older age and lower entry blood pressures. No difference in hemodynamics was noted at the discharge. Kaplan-Meier curves showed a significant association between worsening CONUT scores and risk of all-cause death (p < 0.01), re-hospitalizations (p < 0.01), or both (p < 0.001). Cox regression analysis revealed these significant associations persisted after adjustment for age, sex, pre-existing cardiovascular disease, diabetes, chronic kidney disease, heart rate, systolic blood pressure, and plasma brain natriuretic peptide levels at discharge (all-cause mortality HR = 1.29 (1.00-1.66), p = 0.049; hospitalization for HF HR = 1.36 (1.03-1.81), p = 0.033; hospitalization for non-HF HR = 1.38 (1.03-1.86), p = 0.034; composite outcome HR = 1.33 (1.07-1.64), p = 0.01).

CONCLUSIONS

Malnutrition, assessed by the CONUT score, is common among elderly patients admitted for acute HF and is strongly related to increased long-term risk of all-cause death and re-hospitalizations.

Prognostic Value of Cheyne-Stokes Respiration and Nutritional Status in Acute Decompensated Heart Failure

Malnutrition frequently coexists with heart failure (HF), leading to series of negative consequences. Cheyne-Stokes respiration (CSR) is predominantly detected in patients with HF. However, the effect of CSR and malnutrition on the long-term prognosis of patients with acute decompensated HF (ADHF) remains unclear. We enrolled 162 patients with ADHF (median age, 62 years; 78.4% men). The presence of CSR was assessed using polysomnography and the controlling nutritional status score was assessed to evaluate the nutritional status. Patients were divided into four groups based on CSR and malnutrition. The primary outcome was all-cause mortality. In total, 44% of patients had CSR and 67% of patients had malnutrition. The all-cause mortality rate was 26 (16%) during the 35.9 months median follow-up period. CSR with malnutrition was associated with lower survival rates (log-rank p < 0.001). Age, hemoglobin, albumin, lymphocyte count, total cholesterol, triglyceride, low-density lipoprotein cholesterol, creatinine, estimated glomerular filtration rate, B-type natriuretic peptide, administration of loop diuretics, apnea-hypopnea index and central apnea-hypopnea index were significantly different among all groups (p < 0.05). CSR with malnutrition was independently associated with all-cause mortality. In conclusion, CSR with malnutrition is associated with a high risk of all-cause mortality in patients with ADHF.

Correlation between the prognostic nutritional index and outcomes in older patients aged ≥ 60 years with chronic heart failure

BACKGROUND

Nutritional status is related to clinical outcomes in patients with chronic heart failure (CHF). The prognostic nutritional index (PNI) is a simple tool to assess nutrition.

AIM

To evaluate the association between the PNI score and clinical outcomes in patients (60 years and older) hospitalized due to an acute exacerbation of CHF.

METHOD

This was a retrospective observational study. Patients hospitalized for acute CHF exacerbation between July 2015 and May 2020 were analyzed. Patients were followed until January 31, 2021. The primary end point was cardiovascular-related readmissions and all-cause mortality after hospital discharge. Secondary outcomes were factors associated with all-cause mortality. Patients were divided into normal nutrition (PNI > 38), moderate malnutrition (PNI = 35-38), and severe malnutrition (PNI < 35) groups.

RESULTS

The study included 355 patients (mean age 78 ± 9 years). The median follow-up was 769 days. Compared to survivors (n = 214), patients who expired (n = 133) were (1) older; (2) had lower PNI scores, lymphocyte counts, hemoglobin, albumin, total cholesterol, and serum sodium level; but (3) had higher serum creatinine levels, log(N-terminal-pro-B-type natriuretic peptide), and cardiac troponin I (P < 0.05). Multivariate analyses revealed that PNI was independently associated with all-cause mortality. The hazard ratio (HR) for moderate malnutrition versus normal nutrition was 1.624 (95% confidence interval [CI] 1.011-2.609, P = 0.045), while HR for severe malnutrition versus normal nutrition was 1.892 (95%CI 1.119-3.198, P = 0.017). Malnourished patients had significantly higher rates of cardiovascular readmissions and all-cause mortality.

CONCLUSION

Lower PNI (malnutrition) was associated with worse clinical outcomes and was independently associated with all-cause mortality in patients with CHF.

Association between malnutrition and contrast-associated acute kidney injury in congestive heart failure patients following coronary angiography

BACKGROUND

Previous studies have shown that malnutrition is very common in patients with congestive heart failure (CHF) and is closely related to the occurrence of acute kidney injury. However, the relationship between malnutrition and contrast-associated acute kidney injury (CA-AKI) is unclear.

METHOD AND RESULTS

We obtained data from 842 patients who were diagnosed with CHF following coronary angiography (CAG) or percutaneous coronary angiography (PCI) and had follow-up information from January 2013 to February 2016. The patients were divided into 3 groups according to the Controlling Nutritional Status Score before CAG or PCI procedure (Group 1: Normal; Group 2: Mild Malnutrition; Group 3: Moderate to Severe Malnutrition). The main endpoint was CA-AKI. Univariate and multivariable logistic regression analyses were performed. 556 (60.0%) patients suffered from malnutrition before CAG or PCI. During a median follow-up of 2.1 years, A total of 49 (5.82%) patients developed CA-AKI. Additionally, 5 (1.75%), 26 (6.27%) and 18 (12.77%) events were documented in patients with normal, mild and moderate or severe malnutrition, respectively (p < 0.01). In multivariable-adjusted models, patients with malnutrition showed a significantly higher incidence of CA-AKI than those in the normal group.

CONCLUSION

Malnutrition is an independent risk factor for CA-AKI in CHF patients following CAG.

The controlling nutritional status score and clinical outcomes in patients with heart failure: Pool analysis of observational studies

Background and aims

Malnutrition is very common in patients with heart failure (HF) and is associated with a worse clinical outcome. The Controlling Nutritional Status (CONUT) score is an easily derived index for the evaluation of malnutrition. This study aimed to evaluate the association between the CONUT score and the prognosis in patients with HF.

Methods and results

Electronic databases were searched for potential studies from inception up to February 15, 2022. Observational cohort studies included adult participants with HF, and reported the associations between the CONUT score and the adjusted relative risk (RR) of all-cause mortality, and patients with composite major adverse cardiac outcomes (MACEs) were included. We finally included 18 studies comprising 12,532 participants with HF for analysis. The median age of the patients was 70.5 years old, and 35.4% were women. After a median follow-up duration of 32.5 months, patients with HF with a higher CONUT score were associated with a higher risk of all-cause mortality (per 1 increment of the CONUT score: RR, 1.21, 95% CI, 1.13–1.29, I² = 68%, P for heterogeneity = 0.002) and MACEs (per 1 increment of the CONUT score: RR, 1.14, 95% CI, 1.06–1.23, I² = 81%, P for heterogeneity <0.0001) after adjusting for other prognostic factors. When the CONUT score was divided into the normal nutritional status and malnourished status, malnourished patients with HF were associated with increased risks of all-cause death (RR, 1.61, 95% CI, 1.40–1.85, I² = 17%, P for heterogeneity = 0.29) and MACEs (RR, 2.12, 95% CI, 1.49–3.02, I² = 87%, P for heterogeneity <0.0001), compared with those with normal nutritional status.

Conclusions

The CONUT score is associated with the clinical outcomes in patients with HF, and can be used as a screening tool of nutritional status in HF to improve prognosis.

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.

A Synergistic Association Between Inflammation, Malnutrition, and Mortality in Patients With Diabetics

Background

Although inflammation is a known predictor for poor prognosis in patients with diabetics, few data report the synergistic association between inflammation, malnutrition, and mortality in patients with diabetics. We aim to explore whether malnutrition modifies the predictor of inflammation on prognosis.

Methods

Nutritional status and inflammation were measured in 6,682 patients with diabetics undergoing coronary angiography or percutaneous coronary intervention between January 2007 to December 2018 from Cardiorenal Improvement Registry. Malnutrition was defined as Controlling Nutritional Status (CONUT) score, which was more than 1. High-sensitivity C-reactive protein (hs-CRP) exceeding the median was assessed as a high-risk inflammation. Cox regression models were used to estimate hazard ratios (HR) for mortality across combined hs-CRP and CONUT score categories.

Results

During a median follow-up of 5.0 years (interquartile range: 3.0–7.6 years), 759 (11.36%) patients died. The mortality of the four groups (normal nutrition and low hs-CRP level; normal nutrition and high hs-CRP level; malnutrition and low hs-CRP level; and malnutrition and high hs-CRP level) were 7.29, 7.12, 10.71, and 17.31%, respectively. Compared with normal nutrition and low hs-CRP level, an isolated condition of either malnutrition or high hs-CRP level was not associated with any significant risk for all-cause mortality. However, concomitant presence of both high hs-CRP level and malnutrition condition was associated with a significantly increased risk of all-cause mortality (HR: 1.51; 95% CI: 1.20–1.89; p < 0.001). The p-value for interaction between nutritional status and hs-CRP level on all-cause mortality was 0.03.

Conclusion

The interplay of inflammation and malnutrition in patients with diabetics significantly amplifies the deleterious effects of each as distinct disease entities. A prospective randomized clinical trial is needed in the future to verify the results.

Various effects of nutritional status on clinical outcomes after intracerebral hemorrhage

Although the assessment of nutrition is essential for stroke patients, detailed associations between nutritional status at admission, subsequent complications, and clinical outcomes in patients with acute intracerebral hemorrhage (ICH) are unclear. We aimed to elucidate these associations using the Controlling Nutritional Status (CONUT) score. Consecutive patients with acute ICH were investigated. Nutritional status was evaluated using the CONUT score, calculated from the serum albumin level, lymphocyte count, and total cholesterol level. Subsequent complications, such as hemorrhage expansion (HE) during the acute stage and aspiration pneumonia during hospitalization, were evaluated. Poor outcome was defined as a modified Rankin Scale score of ≥ 3 at 3 months. Of the 721 patients, 49 had HE, 111 had aspiration pneumonia, and 409 had poor outcomes. Patients with HE had significantly lower total cholesterol levels than those without HE. Patients with aspiration pneumonia had significantly lower albumin levels, lower lymphocyte counts, and higher CONUT scores than those without aspiration pneumonia. Patients with poor outcomes had significantly lower albumin levels, lower lymphocyte counts, lower total cholesterol levels, and higher CONUT scores than those with good outcomes. Multivariable logistic analysis showed that higher CONUT scores were independently associated with poor outcome (odds ratio, 1.28; 95% confidence interval, 1.09-1.49; P = 0.002) after adjusting for baseline characteristics, HE, and aspiration pneumonia. Each component of CONUT was a useful predictor of subsequent complications. Malnutrition, determined using the CONUT score, was independently associated with poor outcomes in patients with ICH after adjusting for these complications.

Prediction of all-cause mortality with malnutrition assessed by nutritional screening and assessment tools in patients with heart failure：a systematic review

BACKGROUND AND AIMS

In the absence of a gold standard or scientific consensus regarding the nutritional evaluation of heart failure (HF) patients, this study aimed to summarize and systematically evaluate the prognostic value of nutritional screening and assessment tools used for all-cause mortality in HF patients.

METHODS AND RESULTS

Relevant studies were retrieved from major databases (PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), WanFang Data, and China Biology Medicine disc (CMB)) and searched from the earliest available date until July 2021. If three or more studies used the same tool, meta-analysis using RevMan 5.3 was performed. This systematic review was registered at PROSPERO (number CRD42021275575). A total of 36 articles involving 25,141 HF patients were included for qualitative analysis and 31 studies for quantitative analysis. Meta-analysis of these studies indicated, poor nutritional status evaluated by using 5 nutritional screening tools (Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Controlling Nutritional Status Score (CONUT), Nutritional Risk Index (NRI), and Short Form Mini Nutritional Assessment (MNA-SF)) or 2 nutritional assessment tools (the Mini Nutritional Assessment (MNA) and Generated Subjective Global Assessment (SGA)) predicted all-cause mortality in HF patients. Of all tools analyzed, MNA had the maximum HR for mortality [HR = 2.62, 95%CI 1.11-6.20, P = 0.03] and MNA-SF [HR = 1.94, 95%CI 1.40-2.70, P＜0.001] was the best nutritional screening tools.

CONCLUSION

Poor nutritional status predicted all-cause mortality in HF patients. MNA may be the best nutritional assessment tool, and MNA-SF is most recommended for HF patient nutritional screening. The application value of MNA, especially in patients with reduced left ventricular ejection fraction (LVEF), needs to be further confirmed. The clinical application value of Mini-Nutrition Assessment Special for Heart Failure (MNA-HF) and Global Leadership Initiative on Malnutrition (GLIM) in HF patients needs to be confirmed.

Nutritional Status According to the GLIM Criteria in Patients with Chronic Heart Failure: Association with Prognosis

Background: The Global Leadership Initiative on Malnutrition (GLIM) criteria were recently proposed to build a global consensus on the diagnostic criteria for malnutrition. This study aimed to evaluate the GLIM criteria for its prognostic significance in outpatients with heart failure (HF), and to compare them to a previous validated method, such as the Mini Nutritional Assessment (MNA). Methods: This was a post hoc observational analysis of a prospectively recruited cohort, which included 151 subjects that attended an outpatient HF clinic. At baseline, all patients completed the nutritional screening MNA short form and the nutritional assessment MNA. In a post hoc analysis, we evaluated the GLIM criteria at baseline. The outcomes were based on data from a five-year follow-up. The primary endpoint was all-cause mortality. Secondary endpoints were cardiovascular (CV) mortality and recurrent HF-related hospitalizations. We also investigated whether the GLIM criteria had better prognostic power than the MNA. Results: Abnormal nutritional status was identified in 19.8% of the patients with the GLIM criteria and in 25.1% with the MNA. In the multivariate analyses (age, sex, NYHA functional class, diabetes, and Barthel index), nutritional status assessed by the MNA, but not by the GLIM criteria, was an independent predictor of all-cause mortality, CV mortality, and recurrent HF-related hospitalizations during the five-year follow-up. Conclusions: Malnutrition assessed by MNA, but not by the GLIM criteria, was an independent predictor of all-cause mortality, CV mortality, and recurrent HF-related hospitalization in our cohort of outpatients with HF.

Immune-Nutritional Status as a Novel Prognostic Predictor of Bell's Palsy

INTRODUCTION

The prognosis of Bell's palsy, idiopathic facial nerve palsy (FNP), is usually predicted by electroneuronography in subacute phase. However, it would be ideal to establish a reliable and objective examination applicable in acute phase to predict the prognosis of FNP. Immune-nutritional status (INS) calculated from peripheral blood examination is recently reported as the prognostic factor in various disease. However, the validity of INS as the prognostic factor in Bell's palsy is not well known. Thus, we conducted a retrospective study to investigate the usefulness of INS as prognostic predictors of Bell's palsy.

METHODS

We reviewed the medical records of 79 patients with Bell's palsy and divided into two groups as "complete recovery" and "incomplete recovery" groups. Clinical features such as severity of FNP and INS, including neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), prognostic nutritional index (PNI), and controlling nutrition status (CONUT) score, were assessed.

RESULTS

In univariate analysis, statistically significant differences were observed in clinical score of facial movement, NLR, LMR, PNI, and CONUT score at the initial examination between the two groups (p < 0.05). Furthermore, in multivariate analysis, statistically significant differences were also observed in facial movement score and PNI at the initial examination (p < 0.05).

CONCLUSION

Immune and nutritional condition play important roles in the pathogenesis of Bell's palsy, suggesting that INS would be one of the useful prognostic factors in Bell's palsy.

Preoperative geriatric nutritional risk index is an independent prognostic factor for postoperative survival after gallbladder cancer radical surgery

Background

Currently, the surgical outcomes of gallbladder cancer (GBC) are not always satisfactory. The geriatric nutritional risk index (GNRI) can effectively assess nutritional status. This study intends to investigate whether the preoperative GNRI can predict the prognosis of GBC.

Methods

202 consecutive GBC patients who underwent treatment from 2010 to 2017 were selected and analyzed retrospectively. By using the univariate and multivariate Cox regression analyses on overall survival (OS) and recurrence-free survival (RFS), the preoperative GNRI of GBC patients was evaluated.

Results

Among the 202 patients, the GNRI of the 86 patients (42.6%) was less than 98. The patients with low preoperative GNRI had the median OS of 26 months, which was less than the median OS of 39 months among those patients who had higher preoperative GNRI (P < 0.001). Univariate analysis showed that low GNRI was related to short survival time (HR 3.656, 95% CI 2.308–5.790, P < 0.001). In addition, the results of multivariate analysis revealed that, the patients with low GNRI showed a lower OS (HR 2.207, 95% CI 1.131–4.308, P = 0.020) and RFS (HR 2.964, 95% CI 1.577–5.571, P = 0.001) than those patients with higher GNRI.

Conclusion

GNRI is an independent indicator of poor prognosis in GBC patients after GBC radical surgery.

Prevalence and Prognostic Significance of Malnutrition in Hypertensive Patients in a Community Setting

BACKGROUND

Malnutrition is a significantly poor prognostic factor for a variety of cardiovascular diseases. However, its prevalence and prognostic value in hypertensive patients is still unclear. The present study sought to determine the prevalence and prognostic value of malnutrition in hypertensive patients in a community setting.

METHODS

We included 9,949 hypertensive patients from the National Health and Nutrition Examination Survey (NHANES) (2005-2014). The Controlling Nutritional Status (CONUT) score, the Nutritional Risk Index (NRI), and the Naples Prognostic Score (NPS) were applied to assess the nutritional status of participants. A Cox regression model was established to examine the association between malnutrition and cardiovascular and all-cause mortality.

RESULTS

In all, 19.9, 3.9, and 82.9% hypertensive patients were considered to have malnutrition as evaluated by the CONUT, NRI, and NPS, respectively. Malnutrition assessed by CONUT and NRI was independently associated with cardiovascular mortality (HR [95% CI]) for mild and moderate-to-severe degree of malnutrition, respectively: 1.41 (1.04-1.91) and 5.79 (2.34-14.29) for CONUT; 2.60 (1.34-5.07) and 3.30 (1.66-6.56) for NRI (all P < 0.05), and for all-cause mortality (HR [95% CI]) for mild and moderate-to-severe degree of malnutrition, respectively: 1.48 (1.30-1.70) and 4.87 (3.40-6.98) for CONUT; 1.72 (1.24-2.39) and 2.60 (1.96-3.44) for NRI (all P < 0.01). Naples Prognostic Score could only independently predict all-cause mortality.

CONCLUSIONS

Malnutrition was common among hypertensive patients and was closely associated with both long-term cardiovascular and all-cause mortality.

Impact of nutritional status on prognosis in acute myocardial infarction patients undergoing percutaneous coronary intervention

BACKGROUND

Malnutrition affects the prognosis of cardiovascular disease. Acute myocardial infarction (AMI) has been a major cause of death around the world. Thus, we investigated the impact of malnutrition as defined by Geriatric Nutritional Risk Index (GNRI) on mortality in AMI patients.

METHODS

In 268 consecutive AMI patients who underwent percutaneous coronary intervention (PCI), associations between all-cause death and baseline characteristics including malnutrition (GNRI < 92.0) and Global Registry of Acute Coronary Events (GRACE) risk score were assessed.

RESULTS

Thirty-three patients died after PCI. Mortality was higher in the 51 malnourished patients than in the 217 non-malnourished patients, both within 1 month after PCI (p < 0.001) and beyond 1 month after PCI (p = 0.017). Multivariate Cox proportional hazards regression modelling using age, left ventricular ejection fraction and GRACE risk score showed malnutrition correlated significantly with all-cause death within 1 month after PCI (hazard ratio [HR] 7.04; 95% confidence interval [CI] 2.30-21.51; p < 0.001) and beyond 1 month after PCI (HR 3.10; 95% CI 1.70-8.96; p = 0.037). There were no significant differences in area under the receiver-operating characteristic (ROC) curve between GRACE risk score and GNRI for predicting all-cause death within 1 month after PCI (0.90 vs. 0.81; p = 0.074) or beyond 1 month after PCI (0.69 vs. 0.71; p = 0.87). Calibration plots comparing actual and predicted mortality confirmed that GNRI (p = 0.006) was more predictive of outcome than GRACE risk score (p = 0.85) beyond 1 month after PCI. Furthermore, comparison of p-value for interaction of malnutrition and GRACE risk score for all-cause death within 1 month after PCI, beyond 1 month after PCI, and the full follow-up period after PCI were p = 0.62, p = 0.64 and p = 0.38, respectively.

CONCLUSIONS

GNRI may have a potential for predicting the mortality in AMI patients especially in beyond 1 month after PCI, separate from GRACE risk score. Assessment of nutritional status may help stratify the risk of AMI mortality.

Prognostic Significance of Controlling Nutritional Status Score (CONUT) in Patients Undergoing Pericardiocentesis

BACKGROUND

Malnutrition is associated with a poor prognosis in cardiovascular diseases, however the prognostic impact of the Controlling Nutritional Status (CONUT) score in patients with pericardial effusion (PE) is not known.

METHODS

This was a retrospective study conducted among 301 consecutive patients with PE who underwent pericardiocentesis. CONUT score was calculated from serum albumin level, total cholesterol level and lymphocyte count. The prognostic role of admission CONUT score on long-term mortality was evaluated.

RESULTS

The patients were divided into two groups according to long-term mortality. A total of 131 patients died during follow-up. In multivariable regression analysis, chronic heart failure [hazard ratio (HR): 3.21, 95% confidence interval (CI): 1.18-8.70, p < 0.01], malignancy (HR: 5.67, 95% CI: 3.34-9.63, p < 0.01) and CONUT score (HR: 1.21, 95% CI: 1.10-1.33, p < 0.01) were found to be independent predictors of long-term mortality. CONUT score was significantly higher in the patients who died (5.8 ± 2.4 vs. 3.6 ± 2.2, p < 0.01). In receiver operating characteristics analysis, a CONUT score ≥ 4.5 predicted long-term mortality with 66% sensitivity and 69% specificity (area under curve: 0.73, 95% CI: 0.67-0.79, p < 0.01).

CONCLUSIONS

In patients with PE, CONUT score is an independent prognostic factor for mortality.

Prognostic Nutritional Index as a New Prediction Tool for Coronary Collateral Development

BACKGROUND

Nutritional status is a predictor of the prognosis of cardiovascular diseases. The association between the Prognostic Nutritional Index (PNI), which is an immunonutritional parameter, and cardiovascular diseases has been extensively studied in the literature.

OBJECTIVES

The aim of this study was to investigate whether PNI is associated with coronary collateral development.

METHODS

This retrospective study included 172 patients with chronic total occlusion. The patients were diagnosed with stable coronary artery disease, and all patients underwent coronary angiography. PNI was calculated using serum albumin level and lymphocyte count. Collateral circulation was classified according to Rentrop grade.

RESULTS

There was a positive correlation between PNI and Rentrop grade (r = 0.168, p = 0.026) and a negative correlation between C-reactive protein and PNI (r = -0.353, p < 0.001). Multivariate logistic regression analysis showed that uric acid and PNI were independent predictors of Rentrop grade (p = 0.008 and p = 0.037, respectively).

CONCLUSIONS

This study showed that PNI, which can easily be calculated using serum albumin level and lymphocyte count, was a predictor of coronary collateral development in terms of Rentrop grade.

Malnutrition and the Risk of Early Neurological Deterioration in Elderly Patients with Acute Ischemic Stroke

BACKGROUND AND PURPOSE

This study aimed to investigate the relationship between malnutrition and early neurological deterioration (END) in elderly patients with acute ischemic stroke in China.

METHODS

We used the registry data in the Third Affiliated Hospital of Nantong University and Nanjing Brain Hospital from June 2019 to January 2021. Malnutrition risk was evaluated by controlling nutritional status score (CONUT), geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI) score, respectively. END was defined as an increment of at least two points in the total NIHSS score within three days after admission. We evaluated the relationship between malnutrition and END with multivariable logistic regression models and reclassification indexes.

RESULTS

A total of 732 elderly patients with first-ever acute ischemic stroke were included in the study. 243 patients developed END. 5.7%, 21.4%, 4.6% patients were classified as moderate to severe malnutrition by CONUT, GNRI and PNI, respectively. Malnutrition was associated with the risk of END for CONUT (odds ratio [OR], 1.210; 95% confidence interval [CI] 1.092-1.341; P < 0.001), for GNRI (OR, 0.943; 95% CI, 0.919-0.967; P < 0.001), and for PNI (OR, 0.936; 95% CI, 0.908-0.965; P < 0.001) in multivariable logistic regression models using the back-ward selection method. The discriminative ability was 0.763 (95% CI, 0.727-0.798) for CONUT, 0.769 (95% CI, 0.733-0.805) for GNRI and 0.769 (95% CI, 0.733-0.805) for PNI after adjusting for confounders. Besides, adding malnutrition indexes into models made the prediction of END more accurate.

CONCLUSION

Malnutrition was associated with END in elderly Chinese patients with acute ischemic stroke.

The prognostic significance of controlling nutritional status (CONUT) score for surgically treated renal cell cancer and upper urinary tract urothelial cancer: a systematic review and meta-analysis

In order to evaluate the predictive effect of the controlled nutritional status (CONUT) score on the prognosis of patients with renal cell carcinoma (RCC) and upper urinary tract urothelial carcinoma (UTUC), a meta-analysis was performed. This systematic review has been registered on PROSPERO, the registration ID is CRD42021251879. A systematic search of the published literature using PubMed, Web of Science, Cochrane Library, EMBASE, and MEDLINE was performed. The fields of "renal cell cancer," "upper tract urothelial cancer," and "controlling nutritional status" and other fields were used as search terms. STATA 16 software was used to carry out data merging and statistical analysis of binary variables, Q test and χ² tests were used to verify the heterogeneity between the included works of studies. Subgroup analysis and sensitivity analysis were used to explain the sources of heterogeneity between studies. Begg's test was used to assess publication bias between studies. From the first 542 studies retrieved, through strict inclusion and exclusion criteria, 7 studies finally met the requirements and were included in the meta-analysis. Pooled results indicated that high CONUT indicates worse over survival (OS) [HR = 1.70, 95% CI (1.43-2.03), P = 0.02], cancer-specific survival (CSS) [HR = 1.84, 95% CI (1.52-2.23), P = 0.01], recurrence-free survival (RFS) [HR = 1.60, 95% CI (1.26-2.03), P = 0.116], and disease-free survival (DFS) [HR = 1.47, 95% CI (1.20-1.81), P = 0.03]. Based on cancer type, cutoff value, region, and sample size, a subgroup analysis was performed. The results showed that OS and CSS were not affected by the above factors, and the high CONUT score before surgery predicted worse OS and CSS. In conclusion, this meta-analysis revealed that the preoperative CONUT score is a potential independent predictor of the postoperative prognosis of RCC/UTUC patients. A high CONUT predicts worse OS/CSS/DFS and RFS in patients.

Predictive value of hypoalbuminemia and severe hypoalbuminemia in oncologic spine surgery

STUDY DESIGN

Retrospective review of a prospectively collected national database.

OBJECTIVE

To evaluate the predictive value of hypoalbuminemia on outcomes in surgical spine oncology patients.

SUMMARY OF BACKGROUND DATA

It is well documented that patients with hypoalbuminemia (albumin <3.5) have significantly higher rates of surgical morbidity and mortality than patients with normal albumin (>3.5 g/dl). We evaluated outcomes for metastatic oncologic spine surgery patients based on pre-operative albumin levels.

MATERIALS AND METHODS

Patients who underwent surgery for metastatic spine disease were identified in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database from 2006 to 2016. Three groups were established: patients with normal albumin (>3.5 g/dl), mild hypoalbuminemia (2.6 g/dl - 3.4 g/dl), and severe hypoalbuminemia (<=2.5 g/dl). A multivariate analysis was used to assess the association between albumin levels and mortality within 30 days of surgical intervention.

RESULTS

A total of 700 patients who underwent surgery for metastatic spinal disease and had pre-operative albumin levels available were identified; 64.0% had normal albumin (>3.5 g/dl), 29.6% had mild hypoalbuminemia, and 6.4% had severe hypoalbuminemia. The overall 30-day mortality was 7.6% for patients with normal albumin, 15.9% for patients with mild hypoalbuminemia, and 44.4% for patients with severe hypoalbuminemia. On multivariate analysis, patients with mild hypoalbuminemia (OR 1.7 95% CI: 1.0-3.0 p = 0.05) and severe hypoalbuminemia (OR 6.2 95% CI: 2.8-13.5 p < 0.001) were more likely to expire within 30 days compared to patients with preoperative albumin above 3.5 g/dl.

CONCLUSION

In this study, albumin level was found to be an independent predictor of 30-day mortality in patients who underwent operative intervention for metastatic spinal disease. Patients with severe hypoalbuminemia had a 7-fold increased risk when compared with those who had normal albumin. While these findings need to be validated by future studies, we believe they will prove useful for preoperative risk stratification and surgical decision-making.

Impact of Controlling a Nutritional Status Score on Wound Healing in Patients with Chronic Limb-Threatening Ischemia after Endovascular Treatment

Background: Chronic limb-threatening ischemia (CLTI) is the most advanced stage of peripheral artery disease. Therefore, a multidisciplinary approach is necessary to avoid major amputation in CLTI patients. Malnutrition worsens the condition of CLTI patients, and therefore, it may be important to evaluate the nutritional status in patients with CLTI. This study was designed to evaluate the baseline patient characteristics and the influence of the controlling nutritional status (CONUT) score on the clinical results. Method and Results: A retrospective, single-center, non-randomized study was conducted to evaluate the associations of death, major amputation, and wound healing rate at 12 months with the CONUT score on admission. Consecutive CLTI patients (mean age 73.2 ± 10.4 years; 84 males) who underwent endovascular therapy (EVT) for infra-popliteal lesions at Fukuoka University Hospital from January 2014 to May 2019 were enrolled and divided into two groups (higher and lower CONUT score groups). The higher CONUT group showed a higher percentage of dialysis (66.7% vs. 33.9%, p < 0.001) and a higher clinical frailty scale (5.9 ± 1.4 vs. 4.9 ± 1.9, p = 0.005) than the lower CONUT group. Rates of amputation-free survival were 89.5% and 69.8% in the lower and higher CONUT groups, respectively. In addition, rates of wound healing at 12 months were 98.0% and 78.3% in the lower and higher CONUT groups, respectively. Multivariate regression analysis demonstrated that a higher CONUT score was an independent predictor for delayed wound healing (OR: 11.2; 95% CI: 1.29–97.5; p = 0.028). Conclusion: An assessment of the nutritional status using the CONUT score could be useful for predicting wound healing, and earlier nutritional intervention may improve the outcome of CLTI patients. Early examination and treatment, along with raising awareness of the issue, may be important for improving the prognosis.

Prognostic impact of malnutrition on cardiovascular events in coronary artery disease patients with myocardial damage

BACKGROUND

Stable coronary artery disease (CAD) patients with myocardial damage have a poor prognosis compared to those without myocardial damage. Recently, malnutrition has been reported to affect the prognosis of cardiovascular diseases. However, the effects of malnutrition on prognosis of CAD patients with myocardial damage remains uncertain. We investigated the effects of malnutrition on prognosis of CAD patients with myocardial damage who received percutaneous coronary intervention (PCI).

METHODS

Subjects comprised 241 stable CAD patients with myocardial damage due to myocardial ischemia or infraction. Patients underwent successful revascularization for the culprit lesion by PCI using second-generation drug-eluting stents and intravascular ultrasound. The geriatric nutritional risk index (GNRI), which is widely used as a simple method for screening nutritional status using body mass index and serum albumin, was used to assess nutritional status. Associations between major cardiovascular and cerebrovascular events (MACCE) and patient characteristics were assessed.

RESULTS

Mean GNRI was 100 ± 13, and there were 55 malnourished patients (23%; GNRI < 92) and 186 non-malnourished patients (77%). MACCE occurred within 3 years after PCI in 42 cases (17%), including 34 deaths (14%), and the malnourished group showed a higher rate of MACCE (38%) compared with the non-malnourished group (11%, p < 0.001). Univariate Cox proportional hazards analyses showed that MACCE was associated with age [hazard ratio (HR), 1.04; 95% confidence interval (CI), 1.04-1.07; p = 0.004], prior heart failure (HR 2.35; 95% CI 1.10-5.01; p = 0.027), high-sensitivity C-reactive protein (HR 1.08; 95% CI 1.03-1.11; p < 0.001), hemodialysis (HR 2.63; 95% CI 1.51-4.58; p < 0.001) and malnutrition (HR 3.69; 95% CI 2.11-6.42; p < 0.001). Multivariate Cox proportional hazards analysis revealed hemodialysis (HR 2.17; 95% CI 1.19-3.93; p = 0.011) and malnutrition (HR 2.30; 95% CI 1.13-4.67; p = 0.020) as significantly associated with MACCE. Furthermore, Cox proportional hazards models using malnutrition and hemodialysis revealed that patients with malnutrition and hemodialysis were at greater risk of MACCE after PCI than patients with neither malnutrition nor hemodialysis (HR 6.91; 95% CI 3.29-14.54; p < 0.001).

CONCLUSIONS

In CAD patients with myocardial damage, malnutrition (GNRI < 92) represents an independent risk factor for MACCE. Assessment of nutritional status may help stratify the risk of cardiovascular events and encourage improvements in nutritional status.

Nutritional status during hospitalization is associated with the long-term prognosis of patients with heart failure

Aims

The CONtrolling NUTritional status (CONUT) score represents the nutritional status of patients with heart failure (HF). Although high CONUT scores on admission are associated with increased risks of cardiovascular (CV) events in patients with HF, the impact of CONUT changes during hospitalization on their long‐term prognosis is unclear. This study aimed to investigate the impact of CONUT score changes on the clinical outcomes of patients with HF after discharge.

Methods and results

This observational study included 1705 patients hospitalized with HF who were discharged alive. The patients were categorized depending on their CONUT scores at admission and discharge into persistently high, high at admission and normal at discharge, normal at admission and high at discharge, and persistently normal CONUT groups. The primary endpoint was a composite of CV death and readmission for HF after discharge. The primary endpoint occurred in 652 patients (38%) during the median 525 day follow‐up period. Patients with persistently high CONUT scores had the highest composite endpoint rate (log‐rank trend test: P < 0.001). After adjusting for covariates, the hazard ratio for the composite outcome was significantly lower for the patients with high CONUT scores at admission and normal CONUT scores at discharge than that for those with persistently high CONUT scores (hazard ratio: 0.69; 95% confidence interval: 0.49–0.98).

Conclusions

Nutritional status changes in patients with HF that occurred during hospitalization were associated with CV events after discharge. Improving the nutritional status of patients may improve their clinical outcomes.

Impact of the Malnutrition on Mortality in Elderly Patients Undergoing Percutaneous Coronary Intervention

Purpose

Malnutrition has been shown to be related to adverse clinical outcomes in patients with heart failure, hypertension, atrial fibrillation and other cardiovascular diseases. However, in the patients with coronary artery disease (CAD) undergoing percutaneous coronary interventions (PCI), especially in the elderly, the association of nutritional state and all-cause mortality remains unknown. We aimed to investigate the association of malnutrition with all-cause mortality in the elder patients undergoing PCI.

Patients and Methods

Based on the largest retrospective and observational cohort study from January 2007 to December 2017, the Controlling Nutritional Status (CONUT) score was applied to 21,479 consecutive patients with age ≥60 who undergoing PCI for nutritional assessment. Participants were classified as absent, mild, moderate and severe malnutrition by CONUT score. The Kaplan-Meier method was used to compare all-cause mortality among the above four groups. Multivariable Cox proportional hazard regression analyses were performed to examine the association of malnutrition with all-cause mortality.

Results

According to the CONUT score, 48.19%, 15.08% and 0.94% patients were mildly, moderately and severely malnourished, respectively. During a median follow-up of 5.16 years (interquartile range: 3.02 to 7.89 years), 3173 (14.77%) patients died. Kaplan-Meier analysis showed that the risk of all-cause mortality was significantly higher in patients with a worse nutritional status. Compared with normal nutritional state, malnutrition was associated with significantly increased risk for all-cause mortality (adjusted hazard ratio for mild, moderate and severe degrees of malnutrition, respectively: 1.20 [95% confidence interval (CI): 1.09 to 1.33], 1.32 [95% CI: 1.17 to 1.49] and 1.76 [95% CI: 1.33 to 2.33]).

Conclusion

Malnutrition is prevalent among elderly patients with CAD undergoing PCI, and is strongly related to the all-cause mortality increasing. For elderly patients with CAD undergoing PCI, it is necessary to assess the status of nutrition, and evaluate the efficacy of nutritional interventions.

Prediction of all-cause mortality with malnutrition assessed by controlling nutritional status score in patients with heart failure: a systematic review and meta-analysis

OBJECTIVE

The aim of this meta-analysis was to investigate the association between malnutrition assessed by the controlling nutritional status (CONUT) score and all-cause mortality in patients with heart failure.

DESIGN

Systematic review and meta-analysis.

SETTINGS

A comprehensively literature search of PubMed and Embase databases was performed until 30 November 2020. Studies reporting the utility of CONUT score in prediction of all-cause mortality among patients with heart failure were eligible. Patients with a CONUT score ≥2 are grouped as malnourished. Predictive values of the CONUT score were summarized by pooling the multivariable-adjusted risk ratios (RR) with 95 % CI for the malnourished v. normal nutritional status or per point CONUT score increase.

PARTICIPANTS

Ten studies involving 5196 patients with heart failure.

RESULTS

Malnourished patients with heart failure conferred a higher risk of all-cause mortality (RR 1·92; 95 % CI 1·58, 2·34) compared with the normal nutritional status. Subgroup analysis showed the malnourished patients with heart failure had an increased risk of in-hospital mortality (RR 1·78; 95 % CI 1·29, 2·46) and follow-up mortality (RR 2·01; 95 % CI 1·58, 2·57). Moreover, per point increase in CONUT score significantly increased 16% risk of all-cause mortality during the follow-up.

CONCLUSIONS

Malnutrition defined by the CONUT score is an independent predictor of all-cause mortality in patients with heart failure. Assessment of nutritional status using CONUT score would be helpful for improving risk stratification of heart failure.

Preoperative Nutritional Assessment Using the Controlling Nutritional Status Score to Predict Pancreatic Fistula After Pancreaticoduodenectomy

Backgound: This study aimed to determine the usefulness of the Controlling Nutritional Status (CONUT) scorescore for predicting postoperative pancreatic fistula (POPF).

PATIENTS AND METHODS

Data from 108 consecutive pancreaticoduodenectomy cases performed at the Surgery Department of Iwakuni Clinical Center, from April 2008 to May 2018, were included. Preoperative patient data and postoperative complication data were collected.

RESULTS

Of the 108 patients (male=65; female=43; mean age=70 years), 41 (37.9%) had indication for pancreaticoduodenectomy due to pancreatic carcinoma. Grade B or higher POPF was diagnosed in 32 patients (29.6%). In the multivariate analysis, body mass index ≥22 kg/m² [odds ratio (OR)=5.24; p=0.005], CONUT score ≥4 (OR=3.28; p=0.042), non-pancreatic carcinoma (OR=47.17; p=0.001), and a low computed tomographic contrast attenuation value (late/early ratio) (OR=4.39; p=0.029) were independent risk factors for POPF.

CONCLUSION

Patients with high CONUT score are at high risk for POPF. Preoperative nutritional intervention such as immunonutrition might help reduce the POPF risk in these patients.

Serological Biomarkers and Indices for the Current Activity and Prognosis of ANCA-Associated Vasculitis: Experience in a Single Centre in Korea

Small vessel vasculitis is composed of two types of vasculitis based on immune-complex deposits, immune-complex vasculitis and antineutrophil cytoplasmic antibody-associated vasculitis (AAV) according to the 2012 Chapel Hill Consensus Conferences Nomenclature of Vasculitis. In general, the current disease-states are assessed in three ways in real clinical practice such as activity, damage and functional status. Birmingham vasculitis activity score (BVAS, version 3) and five-factor score were calculated for assessing the cross-sectional activity and for predicting the prognosis of AAV, respectively. Since BVAS includes a wide spectrum of nine systemic items with differently weighted scores based on new-onset/worsening or persistent each symptom, it has been considered as the most reliable tool to assess AAV activity to date. However, since BVAS represents both cross-sectional and chronic clinical features, it has a limitation in flexibly reflecting the cross-sectional activity or severity of AAV. In addition, the heterogeneous items of BVAS are difficult to reflect the close correlation between BVAS and AAV pathogenesis. It is practically difficult to discover new biomarkers or indices that exceed the reliability of AAV-specific indices or acute-phase reactants established by long clinical experience. However, efforts to discover and develop new biomarkers or indices are expected to complement the clinical unmet need of existing AAV-specific indices and acute-phase reactants. In this review, we reviewed the serological biomarkers and indices that have been reported to date and introduced studies that investigated serological biomarkers and indices in Korean patients with AAV.

Comparative analysis of three nutrition scores in predicting mortality after acute myocardial infarction

OBJECTIVE

We investigated the utility of nutrition scores in predicting mortality and prognostic importance of nutrition status using three different scoring systems in patients with acute myocardial infarction (AMI).

METHODS

In total, 1147 patients with AMI were enrolled in this study (72.5 % men; mean age 65.6 years). Patients were divided into three groups according to the geriatric nutritional risk index (GNRI); prognostic nutritional index (PNI); and triglycerides, total cholesterol, and body weight index(TCBI) scores as tertile: low (GNRI ≤ 103.8, n = 382), intermediate (103.8 < GNRI ≤ 112.3, n = 383), and high (GNRI > 112.3, n = 382) GNRI groups; low (PNI ≤ 50.0, n = 382), intermediate (50.0 < PNI ≤ 56.1, n = 383), and high (PNI > 56.1, n = 382) PNI groups; and low (TCBI ≤ 1086.4, n = 382), intermediate (1086.3 < GNRI ≤ 2139.1, n = 383), and high (TCBI > 2139.1, n = 382) TCBI groups.

RESULTS

In the GNRI, TCBI, and PNI groups, the cumulative incidence of all-cause death and major adverse cardiovascular events (MACEs) was significantly higher in the low score group, followed by the intermediate and high score groups. Moreover, both intermediate and low PNI groups had a similar cumulative incidence of all-cause death and MACE. The GNRI score (AUC 0.753, 95% CI 0.608~0.745, P = 0.009) had significantly higher areas under the curve (AUCs) than the TCBI (AUC 0.659, 95% CI 0.600~0.719, reference) and PNI (AUC 0.676, 95% CI 0.608~0.745, P = 0.669) scores.

CONCLUSIONS

Patients with low nutrition scores were at a higher risk of MACE and all-cause death than patients with high nutrition scores. Additionally, the GNRI had the greatest incremental value in predicting risks among the three different scoring systems used in this study.

A Clinical Epidemiological Analysis of Prognostic Nutritional Index Associated with Diabetic Retinopathy

PURPOSE

Prognostic nutritional index (PNI) is an effective tool to evaluate the nutritional conditions and predict prognosis, but clinical data are limited for the use of PNI in diabetic retinopathy (DR). This study aimed to investigate the relationship of PNI with the prevalence and severity of DR in patients with type 2 diabetes mellitus (T2DM).

PATIENTS AND METHODS

This cross-sectional analysis enrolled 1023 individuals with T2DM hospitalized between 2017-2020. PNI was calculated as 10 × serum albumin (g/l) + 0.005 × total lymphocyte count (cells/mL). DR severity was categorized as no, nonproliferative, and vision-threatened DR (VTDR) according to the modified Airlie House classification. Multivariate-adjusted odds ratio (OR) with 95% confidence interval (CI) for the prevalent DR in the top (Q4) compared with the bottom quartile (Q1) of PNI levels were estimated by using logistic regression analyses.

RESULTS

PNI levels were significantly lower in individuals with VTDR than those with no and nonproliferative DR (both P < 0.001), and the proportions of individuals with DR were significantly decreased in the top quartile compared with the bottom quartile of PNI levels (P < 0.001). After adjustments for age, gender, DM duration, obesity-related risk factors and clinical biochemical parameters, the higher levels of PNI were significantly associated with a lower prevalence of DR (Q4 vs Q1: OR = 0.402, 95% CI: 0.250-0.649, P < 0.001), with a 5.9% reduction in the prevalence of DR for a per-unit increment in the levels of PNI (OR = 0.941, 95% CI: 0.911-0.972, P < 0.001). The association of PNI and obesity-related indexes (body mass index and waist circumference) with the severity of DR was independent of each other (P<0.001).

CONCLUSION

PNI was inversely and independently associated with the severity and prevalence of DR, which suggested that PNI could likely be used to predict DR prognosis in clinical practice.

Prognostic value of malnutrition using geriatric nutritional risk index in patients with coronary chronic total occlusion after percutaneous coronary intervention

BACKGROUND

Malnutrition is associated with poor prognosis in a wide range of chronic illnesses, however, the impact of malnutrition on long-term outcomes of patients at advanced stages of atherosclerosis, coronary chronic artery occlusion (CTO), is not known.

AIMS

This study aims to investigate the relationship between malnutrition and adverse cardiovascular events in patients with CTO after percutaneous coronary intervention (PCI).

METHODS

Baseline malnutrition risk was determined in 669 patients with CTO after PCI in this study. All patients were divided into 3 groups according to 3 categories of the geriatric nutritional risk index (GNRI): moderate to severe, GNRI of <92 (n = 70); low, GNRI of 92-98 (n = 197); and absence of risk, GNRI of ≥98 (n = 402). The primary endpoint was all-cause mortality and the secondary endpoint was major adverse cardiovascular events (MACE).

RESULTS

Average age in this study was 65.32 ± 9.97 years old. More than one-third of patients were at risk of malnutrition (moderate to severe: 10.5%; low: 29.4%; and absence of risk: 60.1%). Over a median follow-up of 33 months, compared to those with absent risk for malnutrition, moderate to severe risk was associated with significantly increased risk for the all-cause death, cardiovascular death and MACE (hazard ratio [HR]: 2.90, 95% confidence interval [CI]: 1.43 to 5.87, P for trend = 0.002; HR: 3.72, 95% CI: 1.42 to 9.77, P for trend = 0.010; HR: 1.76, 95% CI: 1.02 to 3.03, P for trend = 0.040; respectively) after adjustment for baseline variables. Moreover, addition of the GNRI score significantly raised the predictive value for the all-cause death (0.383, p = 0.004 and 0.022, p = 0.011, NRI and IDI respectively), cardiovascular death (0.488, p < 0.001 and 0.013, p = 0.014, NRI and IDI respectively) and MACE (0.368, p = 0.004 and 0.014, p = 0.008, NRI and IDI respectively) as compared to traditional factors.

CONCLUSIONS

Malnutrition assessed by the GNRI score on admission was an independent predictor for adverse cardiovascular events in CTO patients after PCI. Addition of the GNRI score to the existing risk prediction model significantly increased the predictive ability for cardiovascular events in CTO patients after PCI.

Nutritional status and severity of coronary artery disease

OBJECTIVE

The aim of this study is to evaluate the association between Nutritional Risk Index (NRI), a simple tool to assess nutritional status, and coronary artery disease severity and complexity in patients undergoing coronary angiography.

METHODS

This study is a retrospective analysis of 822 patients undergoing coronary angiography. Patients with previous revascularization were excluded. Gensini and SYNTAX scores were calculated according to the angiographic images to determine atherosclerosis severity. NRI was calculated as follows: NRI = [15.19 × serum albumin (g/dl)] + [41.7 × (body weight/ideal body weight)]. In patients ≥65 years of age, Geriatric NRI (GNRI) was used instead of NRI. GNRI was calculated as follows: GNRI = [14.89 × serum albumin (g/dl)] + [41.7 × (body weight/ideal body weight)]. Patients were then divided into three groups as previously reported: NRI < 92, NRI 92-98 and NRI > 98. Gensini and SYNTAX scores were compared between three groups.

RESULTS

The mean age of study population was 61.9 ± 11.1 years. NRI < 92, 92-98, and >98 was measured in 212, 321 and 289 patients, respectively. There was no difference regarding to sex, BMI, smoking, hypertension and diabetes mellitus between three groups. Patients with NRI < 92 had the highest mean Gensini score than the patients with NRI 92-98 and NRI > 98 (38.0 ± 40.6 vs. 31.17 ± 42.4 vs. 25.8 ± 38.4, P = 0.005). Also patients with NRI < 92 had the highest mean SYNTAX score than the patients with NRI 92-98 and NRI > 98 (11.8 ± 12.9 vs. 9.3 ± 12.4 vs. 7.7 ± 11.8, P = 0.001). Also, Gensini score of ≥20 and high SYNTAX score of ≥33 were associated with lower NRI (P < 0.001 and P < 0.001, respectively).

CONCLUSION

In our study, nutritional status evaluated by the NRI was associated with more extensive and complex coronary atherosclerosis in patients undergoing coronary angiography.