Search Results (87)

Background/Objectives: Malnutrition is common among patients with advanced chronic illnesses receiving palliative care, yet comparative data between diagnostic groups are limited. This study aimed to evaluate and compare the nutritional status of patients with end-stage chronic heart failure (CHF) and chronic respiratory disease (CRD), and to assess the clinical utility of the Controlling Nutritional Status (CONUT) score in this setting. Methods: We conducted a retrospective analysis of 80 patients (41 with CHF, 39 with CRD) enrolled in a palliative care program (mean age 77.8 ± 6.8 years, 65% male). Nutritional status was assessed using BMI (Body Mass Index), CONUT score, and routine biochemical markers. Functional and clinical variables, including the Palliative Performance Scale (PPS), were also collected. Results: Moderate-to-severe malnutrition (CONUT ≥ 5) was significantly more prevalent in patients with CHF patients (44%) than CRD patients (10%, p = 0.002). CHF patients exhibited lower BMI, cholesterol, lymphocyte counts, and prealbumin levels. Despite more frequent nutritional follow-up and protein supplementation in the CHF group, these interventions were not associated with improved nutritional classification. The CONUT score correlated more strongly with functional impairment (PPS) than with disease type alone. Conclusions: Patients with CHF receiving palliative care demonstrate higher rates of malnutrition than those with CRD. The CONUT score, derived from standard blood test, may be pragmatic screening tool for identifying nutritional vulnerability and guiding interventions. While it does not predict survival, it may help detect functional decline earlier and support care strategies aimed at maintaining quality of life in end-stage disease. Full article

Background/Objectives: Alcohol-associated hepatitis (AH) is an acute inflammatory condition of alcohol-associated liver disease (ALD) with rapid progression and high mortality. The Age-Bilirubin-INR-Creatinine (ABIC) score is a static algorithm that predicts survivability in AH. The roles of alcohol drinking patterns and nutritional status in AH progression and risk of death are understudied. This study evaluates the impact of alcohol drinking patterns and nutrition on AH progression and mortality. Methods: Sixty-one adult patients diagnosed with AH were stratified by the Model for End-Stage Liver Disease (MELD) as non-severe (MELD < 20, n = 26, Gr.1) and severe (MELD ≥ 20, n = 35, Gr.2). Each group was further subdivided by ABIC: low- (<6.71), intermediate- (6.71–9), and high- (>9) risk categories. We assessed different demographics: nutrition using the Controlling Nutritional Status (CONUT) score; lifetime drinking history (LTDH); recent alcohol use (AUDIT); laboratory measures (complete metabolic panel, complete blood count, and coagulation), and clinical measures (Maddrey DF, Child–Turcotte–Pugh, and Lille). Results: All patients showed a significant and positive correlation between ABIC and LTDH (r = 0.538, p = 0.004), particularly in Gr.2 (r = 0.554, p = 0.011). The low-risk Gr.2 exhibited the highest AST:ALTs. AST:ALTs were significantly associated with LTDH, AUDIT, and CONUT (R² = 0.539, p = 0.031). In all AH patients with intermediate mortality risk, AST:ALTs were strongly linked to CONUT and LTDH (R² = 0.657, p = 0.017). Conclusions: Severe AH demonstrates rapid liver injury progression even when the mortality risk is low. Chronic and recent heavy alcohol consumption and poor nutrition adversely impact AH severity and mortality risk. Alcohol intake and nutritional assessments in routine clinicals could identify high-risk patients, thereby improving treatment and a favorable prognosis. Full article

We read with interest the study by Mureșan et al. on nutritional and inflammatory biomarkers predicting thromboembolic events and mortality in COVID-19 patients. The simultaneous independent significance of eight correlated biomarkers raises concerns about possible multicollinearity. We welcome the authors’ clarification and updated multivariate results, which confirmed that several markers lost significance after adjustment. We recommend clearer statistical terminology and parallel reporting of univariate and multivariate results to improve transparency. Full article

Background: Malnutrition is a prevalent but underrecognized condition in cardiovascular disease (CVD) patients, associated with adverse outcomes including longer hospitalizations, higher readmission rates, and increased mortality. Traditional measures such as body mass index (BMI) often fail to detect malnutrition, especially in patients with fluid retention, sarcopenia, or obesity. Methods: This review critically examines current tools used to assess nutritional status in CVD populations. Screening instruments such as Nutritional Risk Screening 2002 (NRS 2002), Mini Nutritional Assessment (MNA, MNA-SF), Malnutrition Universal Screening Tool (MUST), Subjective Global Assessment (SGA), and the Controlling Nutritional Status (CONUT) score are discussed, alongside diagnostic frameworks including the Global Leadership Initiative on Malnutrition (GLIM) criteria. The role of body composition assessment, particularly bioelectrical impedance analysis (BIA) and phase angle (PA), is also highlighted. Results: These tools differ in diagnostic performance and applicability, with many influenced by the pathophysiological features of CVD, such as inflammation, altered fluid balance, and pharmacotherapy. GLIM criteria provide a standardized two-step approach, combining phenotypic and etiologic factors, but require further validation in cardiology settings. Conclusions: A tailored, multimodal approach could be recommended: initial screening followed by confirmatory assessment using GLIM criteria and objective measures of muscle mass or cellular integrity. Clinicians should be aware of tool-specific limitations and interpret findings in the context of CVD-specific challenges. Full article

Background/Objectives: Patients with stage IV gastric cancer who develop chronic intestinal failure require home parenteral nutrition (HPN). This study aimed to evaluate the prognostic relevance of nutritional and immune–inflammatory biomarkers and to construct an individualised survival prediction model using machine learning techniques. Methods: A secondary analysis was performed on a cohort of 410 patients with TNM stage IV gastric adenocarcinoma who initiated HPN between 2015 and 2023. Nutritional and inflammatory indices, including the Controlling Nutritional Status (CONUT) score and lymphocyte-to-monocyte ratio (LMR), were assessed. Independent prognostic factors were identified using Cox proportional hazards models. A Random Survival Forest (RSF) model was constructed to estimate survival probabilities and quantify variable importance. Results: Both the CONUT score and LMR were independently associated with overall survival. In multivariate analysis, higher CONUT scores were linked to increased mortality risk (HR = 1.656, 95% CI: 1.306–2.101, p < 0.001), whereas higher LMR values were protective (HR = 0.632, 95% CI: 0.514–0.777, p < 0.001). The RSF model demonstrated strong predictive accuracy (C-index: 0.985–0.986) and effectively stratified patients by survival risk. The CONUT score exerted the greatest prognostic influence, with the LMR providing additional discriminatory value. A gradual decline in survival probability was observed with an increasing CONUT score and a decreasing LMR. Conclusions: The application of machine learning to immune–nutritional data offers a robust tool for predicting survival in patients with advanced gastric cancer requiring HPN. This approach may enhance risk stratification, support individualised clinical decision-making regarding nutritional interventions, and inform treatment intensity adjustment. Full article

Background/objectives: Nutritional status is increasingly acknowledged as a pivotal determinant of clinical course and recovery in patients with acute ischemic stroke (AIS). Malnutrition can compromise immune competence, delay neurological recovery, and exacerbate adverse outcomes, particularly in those undergoing intensive interventions such as mechanical thrombectomy (MT). To objectively assess nutritional status, indices such as the Prognostic Nutritional Index (PNI) and the Controlling Nutritional Status (CONUT) score have been utilized in various clinical populations. These indices incorporate routinely available laboratory parameters, reflecting both nutritional and inflammatory states. This study explores whether PNI and CONUT scores are associated with 90-day clinical outcomes in AIS patients treated with MT, aiming to evaluate their potential utility as prognostic biomarkers in acute stroke care. Methods: A total of 404 patients with AIS who underwent MT between 2023 and 2024 were retrospectively evaluated. Demographic, clinical, and laboratory data were collected, and nutritional status was assessed using PNI and CONUT scores. Clinical outcomes were stratified as favorable (modified Rankin Scale [mRS] 0–2) or unfavorable (mRS 3–6) at 90 days post-stroke. Results: Among the 404 patients included in the study, 50.5% had favorable and 49.5% had unfavorable clinical outcomes. Patients with favorable outcomes were younger (71 vs. 78 years, p = 0.001), had lower National Institutes of Health Stroke Scale (NIHSS) scores, and higher Alberta Stroke Program Early CT Scores (ASPECTS) (p = 0.001). The puncture-to-recanalization time was significantly longer in the unfavorable outcome group (47.5 min vs. 30.0 min, p = 0.003). Laboratory findings revealed higher glucose levels (p = 0.029), and lower serum albumin (p = 0.003) and lymphocyte levels (p = 0.001) in the unfavorable outcome group. Among nutritional indices, the CONUT score was significantly higher in the unfavorable outcome group (p = 0.001), whereas the PNI score was higher in the favorable outcome group (p = 0.001). ROC analysis showed that the CONUT score had significant prognostic performance (AUC = 0.721, p < 0.001), while the PNI had poor discriminatory power (AUC = 0.274, p < 0.001). Multivariate logistic regression identified age, baseline NIHSS, ASPECT score, and CONUT score as independent predictors of clinical outcome (p < 0.05). Conclusions: Among the two nutritional indices evaluated, the CONUT score demonstrated significant prognostic value in predicting 90-day clinical outcomes after MT. In contrast, the PNI showed limited discriminatory power, highlighting the superiority of CONUT as a reliable biomarker in acute stroke care. Full article

Background/Objectives: Loop diuretics are among the most commonly used drugs in patients with heart failure with reduced ejection fraction (HFrEF). Higher doses of these diuretics are associated with poorer clinical status and may contribute to malnutrition. The study aims to assess the relationship between the use of high-dose loop diuretics and nutritional status in patients with HFrEF. Methods: The study included 353 hospitalized patients with HFrEF. Nutritional status was assessed using the Mini Nutritional Assessment (MNA), the Geriatric Nutritional Index (GNRI), and the CONtrolling NUTritional status (CONUT). Patients were divided into three groups according to the daily dose of loop diuretics (defined as furosemide equivalent = 1 × furosemide dose and 2 × torsemide dose): low dose (LD), 40 mg/day or no treatment; medium dose (MD), 41–160 mg/day; or high dose (HD), >160 mg/day. Results: Of the evaluated patients, the mean MNA score was 23.31 ± 2.93 points, and 49.8% were at risk of malnutrition or malnourished. According to the MNA, patients in HD and MD groups had worse nutritional status than the LD group, similarly according to the GNRI. For CONUT, the differences were significant between all groups: nutritional status was the worst in the HD group, intermediate in the MD group, and the best in the LD group. Conclusions: The intake of loop diuretics, especially in high doses, correlates with an elevated risk of malnutrition in patients with HFrEF independently of sex, age, NYHA class, and left ventricular ejection fraction. Full article

Background: Assessing nutrition-related health risks in older individuals is often overlooked in clinical practice due to the lack of appropriate methods of evaluation. While anthropometric measurements and body composition analyses are mainly used, these tools are not standardized for the oldest old and fail to account for age-related changes. This underscores the need for improved assessment techniques that accurately capture the progressive and non-linear shifts in nutritional status throughout the aging process. Accordingly, the primary aim of our paper is to identify the most effective tools to use for evaluating nutritional status in the oldest population. Methods: To address this gap, we conducted a cross-sectional study, investigating the nutritional status of a cohort of Sicilian individuals aged between 65 and 111, using methods commonly applied to adult and older adult populations. These included the BIoimpedance Analysis (BIA), the Mini Nutritional Assessment (MNA) evaluation, and nutritional risk indices such as the COntrolling NUTritional Status (CONUT) score and Geriatric Nutritional Risk Index (GNRI). Results: Despite the oldest population being classified as “at risk” of malnutrition by the MNA or “cachetic” by BIA, our results indicated a “normal” or “low risk” of malnutrition when assessments were performed using tools (GNRI and CONUT) that were not reliant on body composition parameters. These findings align with clinical history assessments conducted during their recruitment. Conclusions: This pilot study highlights the need for future research aimed at developing standardized, multidimensional assessment models tailored to the heterogeneity of each age group, to improve risk stratification, clinical outcomes, and personalized nutritional care. Full article

Heart failure (HF) is a major global health burden and a leading cause of morbidity and mortality. Nutritional status has emerged as an essential factor influencing outcomes in HF, with the Controlling Nutritional Status (CONUT) score gaining attention as a simple, objective marker derived from serum albumin, total cholesterol, and lymphocyte count. This meta-analysis evaluated the prognostic value of the CONUT score in predicting all-cause mortality in patients with acute and chronic heart failure. A systematic search was conducted in the PubMed, MEDLINE, Google Scholar, and Cochrane Library databases for the past ten years, using combinations of keywords such as “heart failure”, “CONUT score”, “malnutrition”, and “mortality”. Studies were included if they reported hazard ratios (HRs) for all-cause mortality in relation to CONUT score categories in adult HF populations. Eight eligible studies comprising 15,761 patients were included. Pooled analysis showed that higher CONUT scores were significantly associated with increased all-cause mortality (pooled HR = 1.47; 95% CI: 1.30–1.66). Despite substantial heterogeneity (I² = 80%), the direction of effect was consistent across studies. The CONUT score is a useful prognostic marker in acute and chronic heart failure patients. Further research should explore the effects of targeted nutritional interventions in high-risk HF patients identified by elevated CONUT scores and efforts to standardize malnutrition cut-offs in clinical practice. Full article

Background/Objectives: This study aims to evaluate the prevalence and degree of malnutrition among patients with type 2 diabetes mellitus using the CONUT and PNI scores. Hypothesis: The CONUT and PNI scores provide a reliable assessment of the nutritional status of patients with type 2 diabetes. Methods: The retrospective study was run at the Department of Internal, Autoimmune and Metabolic Diseases in the Central Clinical Hospital of the Medical University of Silesia in Katowice from January to December of 2022. From 266 patients diagnosed with diabetes, only 64 met the criteria and were included in this study. Results: We found varying degrees of malnutrition among patients. Only 20.3% of them were well nourished. Mild to moderate malnutrition was observed in, altogether, 67.2% of patients. Conclusions: The strong correlation between the CONUT and PNI (r = −0.88) indices confirms their diagnostic value. The introduction of the CONUT or PNI tools into routine practice should be considered in patients with T2DM, especially those over 65 years of age, but taking into account the significant limitations of these indices and the influence of various factors on the laboratory data considered. Full article

Background and Objectives: This study aims to investigate the effect of Type 2 diabetes mellitus (DM) on nutritional status in acute coronary syndrome (ACS) patients and its relationship with various metabolic and hematologic parameters. Materials and Methods: A retrospective and cross-sectional design was used to analyze 485 acute coronary syndrome (ACS) patients who underwent angiography at Fethi Sekin City Hospital between 1 January 2020 and 1 January 2025. Clinical data, biochemical parameters (hemogram, glucose, creatinine, uric acid, lactate dehydrogenase (LDH), albumin, and cholesterol levels) were retrospectively analyzed. The Prognostic Nutrition Index (PNI) and CONUT score were calculated manually. Results: A total of 485 patients were included in this study. Patients were divided into two groups: patients with DM (n = 167) and patients without DM (n = 318). Glucose levels (p < 0.001) and triglyceride levels (p = 0.014) were significantly higher in patients with diabetes, while LDL cholesterol and total cholesterol levels were lower (p < 0.01). In addition, hemoglobin (p < 0.001), albumin (p = 0.010), and PNI scores (p = 0.014) were lower in patients with diabetes. Although CONUT scores were higher in patients with diabetes, this difference was not statistically significant (p = 0.267). Significant differences were observed in lipid profile and inflammation parameters in STEMI and NSTEMI subgroups, especially in patients with diabetes. In particular, triglyceride and neutrophil levels were found to be higher in NSTEMI patients among patients with diabetes. Conclusions: The PNI score may be a useful prognostic tool for predicting cardiovascular complications and determining treatment strategies in acute coronary syndrome patients with diabetes mellitus in whom nutritional status, inflammation, and lipid metabolism are significantly correlated. Full article

Background/Objectives: Reports on oral frailty as a risk factor for chronic constipation are scarce. In this study, we examined the relationship between Oral Frailty Index-8 (OFI-8) and constipation severity. Methods: This cross-sectional analysis involved patients aged ≥65 years (outpatients between November 2020 and November 2021). Patient background (age, sex, body mass index, medical history, lifestyle history, and oral medications), a constipation severity questionnaire (Constipation Scoring System [CSS]), grip strength, walking speed, skeletal muscle mass index (dual-energy X-ray absorptiometry), a frailty questionnaire, an oral frailty questionnaire (OFI-8), an abdominal symptoms quality of life (QOL) questionnaire (Izumo scale), a swallowing evaluation questionnaire (10-item Eating Assessment Tool [EAT-10]), a chronic obstructive pulmonary disease (COPD) evaluation questionnaire (COPD assessment test [CAT]), a simplified QOL evaluation (EuroQol-five dimensions [EQ-5D]), the Dietary Variety Score, a nutritional evaluation (CONtrolling NUTritional Status [CONUT] score), and the 15-item Geriatric Depression Scale (GDS-15) were analyzed. Risk factors for constipation severity (CSS) were examined using multivariate analysis. Patients with advanced gastrointestinal cancer, inflammatory bowel disease, and active gastroduodenal ulcer were excluded. Results: In total, 1029 patients (male/female: 450/579; mean age: 78.3 ± 6.1 years; mean body mass index: 22.9 ± 3) were included. Multivariate analysis demonstrated a significant association between CSS and OFI-8 (β = 0.065), EAT-10 (β = 0.061), sarcopenia (β = 0.050), laxative (β = 0.126), constipation-related QOL score (β = 0.625), diarrhea-related QOL score (β = −0.064), and CAT (β = 0.061). Conclusions: Comprehensive risk factors associated with CSS included a high oral frailty score, impaired swallowing (EAT-10), sarcopenia, laxative use, a high constipation QOL score, a low diarrhea QOL score, and COPD assessment through CAT. Full article

Background: Patients undergoing cardiovascular surgery often experience postoperative complications and Activities of Daily Living (ADL) decline, even in the absence of preoperative malnutrition. Since postoperative ADL decline is particularly serious in elderly patients, this study aimed to identify a nutritional assessment tool that is effective in predicting postoperative ADL decline. Methods: Patients undergoing open-heart surgery with cardiopulmonary bypass were assessed using eight nutritional assessment tools, including the Malnutrition Universal Screening Tool (MUST), the Global Leadership Initiative on Malnutrition (GLIM) criteria, the Nutritional Risk Screening 2002 (NRS-2002), the Subjective Global Assessment (SGA), the Controlling Nutritional Status (CONUT) score, the Prognostic Nutritional Index (PNI), the Geriatric Nutritional Risk Index (GNRI), and the Mini Nutritional Assessment-Short Form (MNA-SF). Results: A total of 197 patients were enrolled in this study, with a mean age of 70.4 ± 11.6 years old; 31.0% were female. Depending on the nutritional assessment tool, 17.8% to 78.2% of patients were identified as at risk of malnutrition. Among the various assessment tools, the MUST was the most effective in predicting postoperative ADL decline (OR 4.75, 95% CI 1.37–16.5, p = 0.014) and was also associated with severe complications and length of hospital stay (OR 3.08, 95% CI 0.20–0.76, p = 0.009). On the other hand, nutritional risk detected by assessment tools other than MUST, including MNA-SF and GLIM, could predict postoperative complications but showed no relationship to ADL decline. Conclusions: We concluded that MUST was the most useful preoperative nutritional assessment tool for predicting outcomes, particularly for assessing the risk of postoperative ADL decline in patients undergoing cardiovascular surgery. Full article

Objective: To investigate the predictive value of nutritional status in heart failure (HF) patients with an implantable cardioverter defibrillator (ICD), and to identify factors associated with ICD discharge and mortality. Methods: This retrospective study was conducted by analyzing data from 2017 to 2021. HF patients who underwent ICD implantation for primary prevention were included. Follow-up visits were continued until December 2022. Patients were examined based on ICD shock occurrence (ICD-A: appropriate shock), ICD non-discharge (ICD-X), and mortality. Nutritional status was assessed by the Prognostic Nutritional Index (PNI) and the Controlling Nutritional Status (CONUT) scores. Results: A total of 221 patients were included in the study, 86 of whom were in the ICD-A group (135 in the ICD-X group). Age and sex distribution were similar in these groups. The all-cause mortality rate was 20.36%. A PNI with a cut-off value of <47.25 and a CONUT score with a cut-off value of >2.5 were able to significantly predict all-cause mortality. The PNI had a greater area under the curve compared to the CONUT. Non-ischemic cardiomyopathy and high left-ventricle end-systolic diameter (ESD) were independently associated with appropriate ICD shock. Low systolic blood pressure, high ESD, low sodium, low total cholesterol, low (<47.25) PNI, and ICD shock were independently associated with all-cause mortality. Conclusions: Malnutrition appears to be associated with mortality in patients with primary-prevention ICDs, and the PNI appears to be a more useful indicator than the CONUT for determining the risk of mortality in these patients. Full article