Evaluation of Blood Biomarkers Associated with Risk of Malnutrition in Older Adults: A Systematic Review and Meta-Analysis

The importance of Naples prognostic score in predicting long-term mortality in heart failure patients

BACKGROUND

Heart failure (HF) remains a significant health problem despite advances in diagnosis and treatment options. Malnutrition and increased inflammation predict poor disease prognosis. The parameters of the Naples prognostic score (NPS) include albumin, total cholesterol, neutrophil-lymphocyte ratio (NLR), and lymphocyte-monocyte ratio (LMR). We aimed to assess the potential of NPS as a predictor of long-term mortality in patients with HF.

METHODS

A total of 1728 patients with HF who applied to our center between 2018 and 2022 were included in this study. The NPS was computed and the patients were divided into three groups according to their NPS values as follows: NPS = 0 (Group 1), NPS = 1-2 (Group 2), and NPS = 3-4 (Group 3). We also evaluated the association between NPS value and HF mortality.

RESULTS

The patients were followed for a mean follow-up duration of 30 months. The mortality rate was 8.3% (145 patients). We carried out Model-1 and -2 Cox regression analyses to identify long-term mortality determinants. Model-2 was constructed by adding NPS to Model-1. NPS was significantly associated with HF mortality (Hazard Ratio: 2.194, 95% Confidence Interval: 1.176-4.091, p = 0.014). According to the Kaplan-Meier plot and log-rank analyses, there was a statistically significant difference in the long-term mortality of patients with HF and their NPS values for the entire cohort.

CONCLUSION

Based on our findings, NPS showed promise as an independent predictor of long-term mortality in individuals with HF.

The Association Between the Albumin-Bilirubin Score and Contrast-Associated Acute Kidney Injury in Patients Undergoing Elective Percutaneous Coronary Intervention

The albumin-bilirubin (ALBI) score is considered an effective and convenient scoring system for assessing liver function. We hypothesized that the ALBI score was predictive of contrast-associated acute kidney injury (CA-AKI) and long-term mortality in patients undergoing elective percutaneous coronary intervention (PCI). We retrospectively observed 5629 patients undergoing elective PCI. Contrast-associated acute kidney injury is defined as a 50% or 0.3 mg/dl increase in baseline serum creatinine levels within 48 h of contrast exposure. The incidence of CA-AKI was 6.2% (n = 350). After adjusting for potential confounding factors, multivariate analysis showed that the ALBI score was an independent predictor of CA-AKI (P = .002). A restricted cubic spline analysis confirmed approximately linear relationships between the ALBI score and risks of CA-AKI. Furthermore, at a median follow-up of 2.8 years, multivariate Cox regression analysis indicated that the ALBI score was an independent risk factor for long-term mortality (P < .001). The ALBI score was closely related to the occurrence of CA-AKI and long-term mortality in patients who underwent elective PCI. This score might be useful for risk stratification in high-risk patient groups to predict CA-AKI.

Impact of the Geriatric Nutritional Risk Index on short-term prognosis of patients with sepsis-related acute kidney injury: analysis using the MIMIC-IV database

BACKGROUND

In critically ill elderly patients, malnutrition is a common comorbidity. The Geriatric Nutritional Risk Index (GNRI) is a straightforward tool for evaluating the nutritional status of elderly individuals. The association between GNRI score and unfavorable health outcomes has been established. However, no studies have yet elucidated the relationship between GNRI score and sepsis-related acute kidney injury (S-AKI).

METHODS

We sourced patient data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. All patients were divided into four groups based on their GNRI score using quartile analysis. The main objective of this study was to investigate the 28-day mortality rate. Secondary study outcomes were the incidence of severe AKI, length of stay in the intensive care unit, and days in the hospital. To evaluate the association between GNRI score and study outcomes, we used a Cox proportional hazards regression model and restricted cubic splines. Kaplan-Meier curves were used to compare the outcomes in each group.

RESULTS

A total of 4515 elderly patients with S-AKI were included in this study. Patients were categorized into four groups according to GNRI quartile: Q1 (< 78.92), Q2 (78.92-84.88), Q3 (84.88-90.84), and Q4 (> 90.84). Overall 28-day mortality was 29.5%. Patients with a low GNRI were predominantly women, and had a low body mass index. After controlling for confounding factors, GNRI score emerged as an independent predictor of 28-day mortality among elderly patients with S-AKI (Q4 vs. Q1: hazard ratio 0.74, 95% confidence interval 0.63-0.87; p < 0.001). Restricted cubic spline analysis revealed a linear relationship between GNRI and 28-day mortality (p for non-linearity = 0.207), and this association remained consistent across all subgroup analyses.

CONCLUSIONS

The GNRI is an important nutritional assessment tool, and is useful in predicting the prognosis of critically ill elderly patients with S- AKI.

Achieving textbook outcome in liver resection for hepatocellular carcinoma: malnutrition's pivotal role

PURPOSE

To investigate the impact of textbook outcome (TO) achievement on survival post-liver resection for hepatocellular carcinoma (HCC) and explore the associated factors.

METHODS

We retrospectively reviewed 330 patients diagnosed with HCC who underwent initial liver resection at our hospital between January 2011 and December 2019. We also investigated the achievement rates of five TOs and sub-analyzed the relationship between them and malnutrition. The patient's nutritional status was classified following the Global Leadership Initiative on Malnutrition (GLIM) criteria.

RESULTS

The TO achievement rate was 72.7%. In the prognostic analysis, the TO-achieving group showed significantly longer overall survival (OS) and recurrence-free survival (RFS). Significant differences in age, body mass index, weight loss, muscle mass, serum aspartate aminotransferase level, serum protein induced by vitamin K absence or antagonist-II, tumor characteristics, intraoperative blood loss, perioperative transfusion, and nutritional status were found between the groups.

CONCLUSIONS

TO achievement is associated with OS and RFS post-liver resection for HCC. The TO is valuable for evaluating treatment quality in liver resection. Additionally, malnutrition graded following the GLIM criteria, age, tumor stage, and intraoperative blood loss are independent factors for achieving a TO post-liver resection for HCC.

Predictive Value of Inflammation Markers for Frailty in Older Patients with CVD

Background

Chronic inflammation plays a pivotal role in the development of frailty in patients with cardiovascular diseases (CVD). Systemic inflammatory response index (SIRI) has been shown to reflect the overall inflammatory status. This study aimed to investigate the relationship between SIRI and frailty in older patients with CVD, and to develop a nomogram for predicting the risk of frailty in this population.

Methods

A total of 234 older patients with CVD were included. Inflammation markers were derived from routine blood tests, and frailty status was assessed using the FRAIL scale. Clinical and laboratory characteristics were compared between patients with or without frailty. Multivariate logistic regression was employed to identify significant variables for inclusion in the nomogram. The performance of the nomogram, including its discrimination and calibration, was rigorously evaluated.

Results

A total of 98 cases were assigned to the frailty group and 136 to the non-frailty group. Patients in the non-frailty group were generally younger, more likely to have normal kidney function, and better blood pressure control. Frail patients exhibited a higher degree of systemic inflammation compared to non-frail patients (P < 0.05). Age, LDL-C and SIRI were identified as three independent risk factors with significant potential for predicting frailty in CVD patients. Therefore, we constructed a clinical nomogram model for frailty based on age, LDL-C and SIRI. The nomogram for frailty had considerable discriminative and calibrating abilities.

Conclusion

In summary, our study demonstrated a significant association between elevated levels of inflammation markers, particularly SIRI, and an increased risk of frailty. Furthermore, by integrating age, LDL-C and SIRI, we established a nomogram to predict the risk of frailty in older patients with CVD.

Development and validation of a predictive model for the risk of possible sarcopenia in middle-aged and older adult diabetes mellitus in China

Background

People with diabetes mellitus (DM) have a significantly increased risk of sarcopenia. A cross-sectional analysis was performed using nationally representative data to evaluate possible sarcopenia in middle-aged and older adults with diabetes mellitus, and to develop and validate a prediction model suitable for possible sarcopenia in middle-aged and older adults with diabetes mellitus in the Chinese community.

Methods

Data from the China Health and Retirement Longitudinal Study (CHARLS), which focuses on people 45 years of age or older, served as the basis for the prediction model. CHARLS 2015 participants were used in the study, which examined 53 factors. In order to guarantee model reliability, the study participants were split into two groups at random: 70% for training and 30% for validation. Ten-fold cross-validation and Least Absolute Shrinkage and Selection Operator (LASSO) regression analyses were used to determine the best predictors for the model. The factors associated with sarcopenia in DM were researched using logistic regression models. Nomogram were constructed to develop the predictive model. The performance of the model was assessed using area under the curve (AUC), calibration curves and decision curve analysis (DCA).

Results

A total of 2,131 participants from the CHARLS database collected in 2015 passed the final analysis, and the prevalence of sarcopenia was 28.9% (616/2131). Eight factors were subsequently chosen as predictive models by LASSO logistic regression: age, residence, body mass index, diastolic blood pressure, cognitive function, activities of daily living, peak expiratory flow and hemoglobin. These factors were used in the nomogram predictive model, which showed good accuracy and agreement. The AUC values for the training and validation sets were 0.867 (95%CI: 0.847~0.887) and 0.849 (95%CI: 0.816~0.883). Calibration curves and DCA indicated that the nomogram model exhibited good predictive performance.

Conclusion

The nomogram predictive model constructed in this study can be used to evaluate the probability of sarcopenia in middle-aged and older adult DM, which is helpful for early identification and intervention of high-risk groups.

Non-linear associations of serum lipid levels with cognitive decline: Findings from the ELSA-Brasil cohort

BACKGROUND AND AIMS

Elevated low-density lipoprotein-cholesterol (LDL-C) is a modifiable risk factor for dementia, but evidence on other lipids is inconsistent, particularly in studies from low and middle-income countries. This study aimed to assess the association between lipid levels and cognitive decline in the ELSA-Brasil cohort.

METHODS

In this prospective study, baseline serum lipid profile [total cholesterol (TC), LDL-C, high-density lipoprotein-cholesterol (HDL-C), triglycerides, and non-high-density lipoprotein-cholesterol (Non-HDL-C)] was analyzed. Cognition was assessed in three waves four years apart using the CERAD Word List, the semantic and phonemic verbal fluency, Trail Making Test B (TMT-B), and a global score.

RESULTS

ln 12,870 individuals at baseline, the mean (SD) age was 51.4 (8.9) years old, 55.4 % were women, and 53.4 % White. Over eight years of follow-up, inverted U-shape associations of TC with memory [Effective Degrees of Freedom (EDF) = 2.975; P = 0.006] and global cognitive decline (EDF = 2.957; P = 0.014), LDL-C with memory (EDF = 2.976; P = 0.021), verbal fluency (EDF = 2.973; P = 0.041), and global cognitive decline (EDF = 2.962; P = 0.030), and Non-HDL-C with memory (EDF = 2.975; P = 0.012) and global cognitive decline (EDF = 2.963; P = 0.035) were observed. A cubic-shaped association with TMT-B (EDF = 2.981; P = 0.005) was observed for HDL-C. Inverted U-shape associations of TC (EDF = 2.946; P < 0.001), LDL-C (EDF = 2.956; P = 0.007), and Non-HDL-C (EDF = 2.951; P = 0.006) in participants aged less than 60 years and inverted U-shape associations of TC (EDF = 2.882; P = 0.044) in women were observed for global cognitive decline.

CONCLUSIONS

Non-linear associations of baseline serum lipids with a decline in different cognitive domains over eight years of follow-up were observed, particularly in individuals younger than 60 years and in women.

Correlation of preoperative fibrinogen/albumin ratio with morbidity following advanced-age hip fractures: an observational study

PURPOSE

Given the occurrence of comorbidities in geriatric patients, the postoperative period of hip fractures may progress with high morbidity and mortality. Recently, several inflammatory markers have been used to evaluate the treatment course. Herein, we prospectively followed-up and examined the relationship between preoperative fibrinogen/albumin ratio(FAR) and morbidity/mortality in elderly patients with hip fracture.

METHODS

Patients aged ≥ 85 years who underwent hip fracture surgery under unilateral spinal anesthesia were included in this prospective observational study. The patients' preoperative FAR, age-adjusted Charlson comorbidity index(AACCI) score, Nottingham Hip Fracture Score, and Clinical Frailty Scale score were calculated. In addition, data on patients' morbidity, 3-month mortality, and lengths of intensive care unit (ICU) and hospital stay were recorded. The patients were categorized into two groups based on the FAR cutoff value of 0.102. A total of 108 patients participated in the study, with 43 assigned to Group 1(FAR < 0.102) and 65 to Group 2(FAR ≥ 0.102).

RESULTS

A significant difference was found in the risk of death within 3-months between patients with high and low FAR scores(p = 0.018). Patients with higher FAR scores were more likely to die within 3 months. A significantly positive association was observed between the FAR and AACCI score, with the AACCI score of Group2 being significantly higher than that of Group 1(p = 0.029). The lengths of hospital(p = 0.044) and ICU(p = 0.013) stay were significantly higher in Group2 than in Group1.

CONCLUSION

Preoperative FAR, which is an inexpensive and readily available test, is a promising index for predicting mortality and complications in patients with hip fracture.

Machine learning-based models to predict type 2 diabetes combined with coronary heart disease and feature analysis-based on interpretable SHAP

BACKGROUND

Type 2 diabetes and coronary heart disease exhibit heightened prevalence in the Chinese population, posing as leading causes of mortality. The combination of diabetes and coronary heart disease, due to its challenging diagnosis and poor prognosis, imposes a significant disease burden. In recent years, machine learning has frequently been employed in diagnostic applications within medical fields; however, predictive models for type 2 diabetes complicated by coronary heart disease have been confronted with issues such as lower predictive performance and interference from other comorbidities during prediction.

METHODS

This study enhances the predictive accuracy, sensitivity, specificity, F1 score, and AUC of models forecasting the coexistence of diabetes and coronary heart disease. We developed an advanced prediction model using XGBoost combined with SHAP for feature analysis. Through comparative feature selection, hyperparameter optimization, and computational efficiency analysis, we identified optimal conditions for model performance. External validation with independent datasets confirmed the model's robustness and generalizability, supporting its potential implementation in clinical practice.

RESULTS

This study compared three models-Random Forest, LightGBM, and XGBoost-and found that XGBoost exhibited superior performance in both efficacy and computational efficiency. The accuracy (Acc) of the XGBoost model was 0.8910, which improved to 0.8942 after hyperparameter tuning. External validation using datasets from Pingyang Hospital and Heji Hospital in Shanxi Province, China, yielded an AUC of 0.7897, demonstrating robust generalizability. By integrating SHAP (SHapley Additive exPlanations) for interpretability, our study identified bilirubin levels, basophil count, cholesterol levels, and age as key features for predicting the coexistence of type 2 diabetes mellitus (T2DM) and coronary heart disease (CHD). These findings are seamlessly consistent with the feature importance rankings determined by the XGBoost algorithm. The model demonstrates moderate predictive performance (AUC = 0.7879 in external validation) with practical interpretability, offering potential utility in improving diagnostic efficiency for T2DM-CHD comorbidity in resource-limited settings. However, its clinical implementation requires further validation in diverse populations.

Development of an Online Nomogram for Predicting Postoperative Hypoalbuminemia in Older Adults Following Femoral Neck Fractures

Objective

Postoperative hypoalbuminemia after total hip arthroplasty (THA) in older adults with femoral neck fractures can increase the risk of postoperative infection and lengthen hospital stays. The purpose of this study was to construct an online nomogram that can be used for the clinical preoperative assessment of older adults to reduce the incidence of postoperative complications.

Methods

This study included older adults who underwent THA for femoral neck fracture at Northern Jiangsu People's Hospital between December 2018 and April 2022. Univariate and multivariate logistic regression analyses were performed for the training cohort to identify independent risk factors. The area under the ROC curve (AUC), calibration curve, and decision curve analysis (DCA) of the training group (n=306) and the validation group (n=131) were plotted to assess the model performance.

Results

Multivariate logistic regression analysis revealed 5 independent risk factors, including Age, body mass index (BMI), surgery time, preoperative blood calcium level, and preoperative erythrocyte sedimentation rate (ESR). We constructed a nomogram, and the area under the curve (AUC) of the nomogram was 0.763 (95% CI 0.705-0.820) for the training group and 0.750 (95% CI 0.665-0.835) for the validation group. The calibration curve showed good consistency between the predicted and actual probabilities. Decision curve analysis (DCA) showed that using the nomogram had a high net benefit.

Conclusion

Old age, lower BMI, longer surgery time, preoperative blood calcium level and preoperative ESR are independent risk factors for postoperative hypoalbuminemia after THA in older adults with femoral neck fractures. The online nomogram had high predictive values for to predict clinical postoperative hypoalbuminemia older adults with femoral neck fracture.

Combined Effects of Early Mobilization and Nutrition on ICU-Acquired Weakness

Intensive Care Unit-Acquired Weakness (ICUAW) is a very common condition in patients admitted to intensive care units (ICUs), even after relatively short stays. This weakness can develop with a pre-existing background of sarcopenia or cachexia, although these conditions are not always the direct cause. Over the years, much of the literature has focused on the nutritional aspect of the issue, leading to the development of widely accepted guidelines recommending the initiation of early nutrition, with the goal of achieving caloric and protein targets within the first five days of ICU admission. Despite adherence to these guidelines, several studies have shown a significant loss of muscle mass in critically ill patients, which directly impacts their ability to generate strength. However, it has become increasingly evident that nutrition alone is not sufficient to counteract this muscle loss, which is often closely linked to the prolonged immobility experienced by ICU patients due to a variety of clinical and logistical factors. In particular, there is growing evidence suggesting that even the introduction of early and minimal rehabilitation-including passive mobilization-when combined with appropriate nutritional support, can be a valuable strategy to help reduce the incidence of ICUAW. In this narrative review, we aim to summarize the current scientific knowledge on this topic, emphasizing the importance of an integrated approach that combines nutrition and early mobilization. Such a combined strategy not only holds the potential to reduce the acute incidence of ICUAW but also contributes to better recovery outcomes and, eventually, improved quality of life for these patients.

Predictive Value of the Neutrophil-to-Lymphocyte Ratio/Serum Albumin for All-Cause Mortality in Critically Ill Patients Suffering from COPD

Background

Among critically ill patients, chronic obstructive pulmonary disease (COPD) is an independent risk factor for death. Recently, biomarkers such as neutrophil-lymphocyte ratio (NLR) and albumin (ALB) have been used to predict the prognosis in patients with COPD. However, the association between NLR/ALB and all-cause mortality in critically ill COPD patients remains unclear. This study aims to explore the association between the NLR/ALB and prognosis in critically ill patients with COPD.

Methods

Data was sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Primary outcome was 28-day all-cause mortality, with secondary outcomes being in-hospital and 90-day all-cause mortality. The area under the receiver operating characteristic curve (AUROC) was calculated to compare prognostic accuracy of NLR, NLR/ALB, PLR, SII and MLR variables. After identifying the most predictive factor, KM survival curves, Cox models and subgroup analyses were used to examine NLR/ALB's relationship with mortality in critically ill COPD patients. Additionally, patients with COPD from the National Health and Nutrition Examination Survey data (1999-2018) was used with Cox regression to investigate NLR/ALB's correlation with all-cause mortality in COPD patients.

Results

1916 critically ill COPD patients from MIMIC IV, divided into quartiles by NLR/ALB levels: Q1 (NLR/ALB<1.108), Q2 (2.095>NLR/ALB≥1.108), Q3 (4.221>NLR/ALB≥2.095), Q4 (NLR/ALB≥4.221). In multivariate Cox regression, Q4 vs Q1: 28-day mortality HR=2.27 (95% CI: 1.63-3.16); 90-day mortality HR=2.06 (95% CI: 1.56-2.71); in-hospital mortality HR=1.93 (95% CI: 1.35-2.77); P<0.001. Subgroup analyses showed that the correlation between NLR/ALB and 28-day mortality was stable Additionally, we recruited 2,003 COPD patients from the NHANES that found NLR/ALB also correlated with all-cause mortality in COPD (In multivariate Cox regression: Q4 vs Q1 hR=1.92 (95% CI: 1.45-2.55, P<0.001)).

Conclusion

Elevated NLR/ALB levels are associated with increased all-cause mortality in critically ill patients with COPD.

Controlling nutritional status score and geriatric nutritional risk index as a predictor of mortality and hospitalization risk in hospitalized older adults

BACKGROUND

The COntrolling NUTritional Status (CONUT) score and the Global Nutrition Risk Index (GNRI) are screening tools for assessing the risk of malnutrition based on widely available biochemical parameters. The primary objective of this study was to investigate the predictive value of CONUT and GNRI score on 36 months mortality and hospitalization risk in hospitalized older patients.

METHODS

Data of 382 patients (196 women, mean age 80.9±6.8 years) were retrieved from the multicenter Italian Study conducted by the Gruppo Lavoro Italiano Sarcopenia-Trattamento e Nutrizione (GLISTEN) in 12 Acute Care Wards. Sarcopenia was defined as presence of low handgrip strength plus low skeletal mass index (EWGSOP2 criteria). CONUT score was calculated based on serum albumin, total cholesterol and total lymphocyte count, whilst the GNRI was calculated using serum albumin and present body weight/ideal body weight ratio.

RESULTS

During the 36-month follow-up, 120 out of 382 participants died (31.4%). From the results of the survival analysis, and after adjustment for potential confounders, participants with CONUT-derived moderate to high risk of malnutrition had shorter survival (HR = 2.67, 95%CI 1.34-5.33 and HR = 3.98, 95% CI: 1.77-8.97, respectively), as well as shorter survival free of urgent hospitalization (HR = 1.91; 95% CI: 1.03-3.55 and HR = 1.98; 95% CI: 1.14-3.42, respectively). Conversely, only GNRI indicative of high risk of malnutrition was an independent predictor of mortality 1.96 (95% CI: 1.06-3.62), but not of hospitalization.

CONCLUSION

The CONUT score seems a valid tool to predict long-term mortality and hospitalization risk. Conversely, the GNRI is associated with long-term mortality, but not with hospital readmissions.

The Value of Integrating the Nutritional Ecology into the Nutrition Care Continuum-A Conceptual and Systems Approach

The domestic and global diet, nutrition, and health context is becoming increasingly complex. Our ability to effectively address the daunting challenges presented by malnutrition in all its forms-both clinically and from a public health perspective-is constrained by a number of issues that coalesce around our understanding of nutrition and the what, why, and how of its assessment. This complexity is further enhanced when screening, assessment, diagnosis, and care are often performed in different settings (hospital compared with school compared with home), across populations, and with a limited care team (e.g. certain care teams may only have a nurse or dietitian within a school district). In this perspective, we make the case that our ability to improve the precision of assessment, diagnosis, and intervention demands a view of nutrition as a biological variable: a complex system resulting from the interactions between our internal (biology, health status, developmental stage, genetics, etc.) and external (social determinants of health, home, community, physical) environments, i.e. a nutritional ecology. We offer both 1) a conceptual framework for more effectively integrating nutrition in medical assessment and etiology-based care; and 2) suggest solutions to overcome some of the systematic challenges in the clinical care continuum. Leveraging the concept of nutrition as a biological variable that emphasizes the integration of both internal and external variables into an assessment within the Nutrition Care Process model allows for both the identification of the nutrition problem and also the root cause (etiology) of the problem. Suggestions are offered for how to integrate this approach from both a clinical and public health perspective.

Effects of different nutritional support methods on nutritional status and immune function in patients undergoing radiotherapy for head and neck cancer

OBJECTIVE

This study aimed to analyze the effects of different nutritional support methods on nutritional status and immune function of patients undergoing radiotherapy for head and neck cancer (HNC).

METHODS

Patients with HNC were divided into the control (nutritional counseling and routine dietary guidance), parenteral nutrition (PN) (PN support on top of the control group), enteral nutrition (EN) (EN support on top of the control group), and EN + PN (EN combined with PN and routine dietary guidance) groups. After nutrition evaluation, the four groups were subjected to radiotherapy and nutritional support. Body mass index (BMI), serum albumin (ALB), prealbumin (PA), transferrin (TRF), hemoglobin (Hb), CD3+, CD4+, CD8+, CD4+/CD8+, natural killer (NK) and quality of life were compared among the four groups before radiotherapy and after radiotherapy dose irradiation completion. The incidence of adverse reactions was assessed and recorded at 2 weeks, 4 weeks and the end of radiotherapy.

RESULTS

The four groups experienced some degree of malnutrition during radiotherapy and the EN + PN group possessed the lowest degree of malnutrition. After radiotherapy dose irradiation completion (T1), the PN, EN, and EN + PN groups possessed improved BMI (21.42 ± 1.62, 21.40 ± 1.68, 22.98 ± 1.87 vs. 20.18 ± 1.32), serum ALB (31.59 ± 3.49, 32.24 ± 4.23, 37.58 ± 3.23 vs. 26.67 ± 3.03), PA (182.63 ± 13.57, 183.43 ± 14.19, 201.59 ± 10.53 vs. 165.36 ± 20.13), TRF (162.46 ± 24.34, 157.36 ± 18.58, 182.36 ± 20.37 vs. 137.56 ± 23.19), and Hb (128.54 ± 9.21, 125.36 ± 10.23, 140.26 ± 7.23 vs. 103.24 ± 9.47) levels, higher CD3+ (63.59 ± 2.88, 63.25 ± 3.17, 66.54 ± 1.32 vs. 59.36 ± 3.24), CD4+ (39.92 ± 3.16, 39.87 ± 3.23, 43.36 ± 2.87 vs. 37.12 ± 4.29), CD4+/CD8+ (1.80 ± 0.06, 1.78 ± 0.06, 2.07 ± 0.03 vs. 1.54 ± 0.10) and NK-cells (33.87 ± 3.62, 33.26 ± 3.59, 36.82 ± 3.19 vs. 27.36 ± 4.21) levels, lower CD8+ (22.18 ± 1.07, 22.36 ± 1.04, 20.46 ± 1.09 vs. 24.09 ± 1.21) levels, and improved quality of life (79.97 ± 7.96, 80.13 ± 7.98, 91.78 ± 7.38 vs. 71.53 ± 11.70) versus the control group, and the EN + PN group possessed the most pronounced effects (All P < 0.05). During radiotherapy, the incidence of radiotherapy adverse reactions was increased with time (P < 0.05).

CONCLUSION

PN and EN, alone or in combination, can improve the nutritional status, immune function and quality of life of patients undergoing radiotherapy for HNC, and PN combined with EN has the best improvement effect.

Serum albumin as a biomarker of (nutritional status in) sarcopenia

INTRODUCTION

To explore the possible associations between blood markers including albumin, hemoglobulin, creatinine and 25 OH vitamin D with sarcopenia using the ISarcoPRM algorithm.

MATERIALS AND METHODS

A total of 2094 community-dwelling males and postmenopausal females (495 males, 1599 females)aged ≥ 50 years were recruited and their demographic data along with all comorbidities and laboratory evaluations were noted. Functional measurements were also quantified and the ISarcoPRM algorithm was used for the diagnosis/confirmation of the participants into sarcopenic and non-sarcopenic categories.

RESULTS

Sarcopenia was detected in 434 (20.7%) participants and low albumin level in 578 (27.6%) of them. While sarcopenia was detected in 193 (33.4%) of 578 subjects with low albumin levels, and in 241 (15.9%) of 1516 subjects with normal albumin levels (p < 0.001). In the binary logistic regression analysis, among the blood parameters; only albumin levels [OR: 0.932 (95% CI 0.876-0.992) in males (p = 0.026), OR: 0.901 (95% CI 0.862-0.941) in females (p < 0.001)were found to be independently associated with sarcopenia in each gender. After adjusting for sociodemographic and other clinical factors, having low albumin levels(≤ 4.0 g/dL) were independently associated with sarcopenia i.e. 2.368 times (95% CI 1.424-3.939) in males and 2.026 times (95% CI 1.520-2.699) in females (both p < 0.001).

CONCLUSION

Independent of other factors, low albumin level is associated with sarcopenia i.e. at least two times in both genders. Older and obese adults at risk of malnutrition should be screened/diagnosed and treated early for sarcopenia. Prospective studies are needed for better/prompt management of relevant patients who are prone to significant morbidity and mortality.

Effect of perioperative individualized nutrition intervention on pancreatic surgery outcomes: a prospective single-center study

BACKGROUND

There is currently a lack of reports on prospective randomized controlled trials (RCTs) focused on personalized nutritional support in pancreatic surgery. This study aimed to evaluate the impact of perioperative individualized nutritional intervention on the outcomes of patients undergoing pancreatic surgery within the framework of enhanced recovery after surgery (ERAS).

METHODS

This prospective cohort study enrolled 96 patients, randomly divided into a trial group and a control group in a 1:1 ratio. The primary endpoint was the change in body composition, including body cell mass (BCM), fat-free mass (FFM), skeletal muscle mass (SMM), and phase angle (PA). Secondary outcomes included time to first postoperative flatus, time to first bowel movement, length of hospital stay, and nutritional indicators.

RESULTS

No significant differences were observed in the demographic characteristics between the two groups. The ratio of actual total calorie intake to recommended daily intake in the trial group was significantly higher than the control group (87.01% vs. 69.50%, P < 0.001). The ratio of actual protein intake to recommended daily intake was significantly higher in the trial group than the control group (96.18% vs.76.29%, P < 0.001). In body composition data, significant differences were found between the two groups in the ratio of BCM, FFM, and SMM at the study endpoint compared to admission. Additionally, a significant difference between the two groups was present in the ratio of BCM, FFM, and SMM at the third postoperative day (POD 3) compared with those at admission. While no significant differences were found between the groups in time to first flatus and time to first stool, the trial group had a significantly shorter postoperative hospital stay compared to the control group (15.9d vs. 20.4d, P = 0.046). Nutritional index analysis revealed a statistically significant difference in the ratio of serum total protein at the study endpoint compared POD 3 (P < 0.05), but no significant differences were found in serum prealbumin, albumin, and hemoglobin.

CONCLUSIONS

Personalized nutritional interventions throughout the perioperative period improved patients' nutritional status and reduced the length of postoperative hospital stay.

Prognostic value of prognostic nutritional index in patients with nasopharyngeal carcinoma treated with endostar and concurrent chemoradiotherapy

PURPOSE

This study aimed to evaluate the prognostic value of the pre-treatment prognostic nutritional index (PNI) in patients with locally advanced nasopharyngeal carcinoma (LANPC) treated with endostar combined with concurrent chemoradiotherapy (ECCRT).

METHODS

Clinical data from 92 patients with LANPC who underwent ECCRT between May 2015 and December 2020 were retrospectively analyzed. The PNI was calculated using peripheral blood samples taken 1 week before treatment. The optimal cut-off value for PNI was determined via receiver operating characteristic (ROC) curve analysis based on overall survival (OS). Patients were categorized into high PNI and low PNI groups. The Kaplan-Meier method assessed the impact of PNI on survival, while univariate and multivariate Cox regression analyses identified independent risk factors affecting patient survival.

RESULTS

The optimal cut-off value of PNI was 50.05. The 3-year OS, progression-free survival (PFS), distant metastasis-free survival (DMFS), and local recurrence-free survival (LRRFS) rates were 91.07% vs. 75.00% (P = 0.002), 83.93% vs. 66.67% (P = 0.015), 89.29% vs. 69.44% (P = 0.004), and 94.64% vs. 91.67% (P = 0.668) in the high PNI and low PNI groups, respectively. A low PNI was associated with shorter OS (HR = 3.592, P = 0.004), PFS (HR = 2.890, P = 0.017), and DMFS (HR = 3.826, P = 0.008). Multivariate analysis revealed that PNI was an independent prognostic factor for OS, PFS, and DMFS.

CONCLUSIONS

The PNI may serve as a valuable prognostic predictor for patients with LANPC receiving ECCRT, aiding clinicians in selectively providing multimodal interventions to optimize survival outcomes.

Development and validation of the systemic nutrition/inflammation index for improving perioperative management of non-small cell lung cancer

BACKGROUND

Systemic nutrition and inflammation status is recognized for its influence on cancer survival, yet its role in perioperative outcomes remains poorly defined. This study aimed to refine the assessment of systemic nutrition and inflammation status in non-small cell lung cancer (NSCLC) patients and to elucidate its impact on perioperative outcomes.

METHODS

All patients underwent video-assisted thoracoscopic lobectomy, with their nutrition and inflammation status assessed based on preoperative blood tests. The development cohort, comprising 1497 NSCLC patients from two centers, evaluated the predictive value of systemic nutrition/inflammation indicators for perioperative endpoints and formulated the systemic nutrition-inflammation index (SNII). The tertiles of SNII were used to classify the nutrition/inflammation risk as high (< 15.6), moderate (15.6-23.1), and low (> 23.1). An external validation cohort of 505 NSCLC patients was utilized to confirm the effectiveness of SNII in guiding perioperative management.

RESULTS

In the development cohort, the SNII tool, calculated as the product of total cholesterol and total lymphocytes divided by total monocytes, demonstrated a stronger correlation with perioperative outcomes compared to 11 existing nutrition/inflammation indicators. A low SNII score, indicative of high nutrition/inflammation risk, was independently predictive of increased complication incidence and severity, as well as prolonged chest tube duration and hospital stay. These findings were corroborated in the validation cohort. Upon combining the development and validation cohorts, the superiority of the SNII in predicting perioperative outcomes was further confirmed over the existing nutrition/inflammation indicators. Additionally, comprehensive subgroup analyses revealed the moderately variable efficacy of SNII across different patient populations.

CONCLUSIONS

This study developed and validated the SNII as a tool for identifying systemic nutrition and inflammation risk, which can enhance perioperative managements in NSCLC patients. Patients identified with high risk may benefit from prehabilitation and intensive treatments, highlighting the need for further research.

Selected Biochemical, Hematological, and Immunological Blood Parameters for the Identification of Malnutrition in Polish Senile Inpatients: A Cross-Sectional Study

Background/Objectives: Malnutrition in senile patients leads to functional disability while reducing quality of life. Medical professionals should routinely assess their nutritional status during hospitalization. However, diagnosing malnutrition may be difficult, especially since obesity may mask malnourishment. Thus, it is essential to search for biomarkers that improve the identification of malnourished inpatients. Methods: In the present cross-sectional study, selected venous blood parameters were analyzed in 137 older inpatients at the age of 80.5 ± 7.78 admitted to the Geriatrics Clinic of the Antoni Jurasz University Hospital No. 1 in Bydgoszcz, Poland between 2017 and 2018, for a comprehensive geriatric assessment. The participants were grouped according to their nutritional risks based on the Mini Nutritional Assessment (MNA) and the Geriatric Nutrition Risk Index (GNRI). The Kruskal-Wallis test was utilized to evaluate the equality of variances for a variable calculated for two or more groups. The level of significance was set at p < 0.05. Results: For total protein, albumin, homocysteine, hemoglobin, hematocrit, total magnesium, total calcium, C-reactive protein (CRP), interleukin 6 (IL-6), and interferon γ-induced protein 10 (IP-10), statistically significant differences were found between groups of patients classified by the MNA. However, additional significant differences were also observed for creatinine, folic acid, and triglycerides, according to the GNRI compartmentalization. The results indicate that decreased levels of albumin (<3 g/dL) and hemoglobin (<11 g/dL), along with elevated homocysteine, CRP, IL-6 (>7.5 pg/mL), and IP-10 (>250 pg/mL), should alert medical professionals to potential malnutrition in hospitalized patients. Conclusions: Routine analysis of venous blood parameters can help rapidly identify malnutrition and the immediate implementation of a specialized diet.

Association between blood-urea-nitrogen-to-albumin ratio and in-hospital mortality in patients diagnosed with coronavirus disease 2019: a retrospective cohort study

BACKGROUND

The blood-urea-nitrogen-to-albumin ratio (BAR) is recognized as a novel prognostic indicator; however, there is a limited number of studies investigating the relationship between BAR and in-hospital mortality associated with coronavirus disease 2019 (COVID-19). Therefore, the present investigation aims to explore the correlation between BAR and in-hospital mortality in patients with COVID-19 in China.

METHODS

This retrospective observational study enrolled a cohort of 1027 patients diagnosed with COVID-19 between December 2022 and March 2023. Multivariate Cox regression analyses were used to ascertain the independent association between BAR and in-hospital mortality among patients with COVID-19. Furthermore, stratified analyses were used to investigate potential interaction effects with variables, such as age, sex, COVID-19 Severity, hypertension, coronary artery disease, and diabetes mellitus.

RESULTS

A total of 117 patients (11.4%) died from various causes during hospitalization. Subsequent to adjustment for confounding variables, patients in the highest BAR tertile exhibited an elevated risk for in-hospital mortality relative to those in the lowest tertile (hazard ratio [HR] 2.44 [95% confidence interval CI 1.24-4.79]) when BAR was treated as a categorical variable. When considering BAR as a continuous variable, a 6% increase in the prevalence of in-hospital mortality was observed for each 1-unit increase in BAR (adjusted HR 1.06 [95% CI 1.03-1.08]; P < 0.001). Stratified analyses revealed a consistent association between BAR and in-hospital mortality due to COVID-19.

CONCLUSIONS

BAR exhibited a significant relationship with in-hospital mortality in patients with COVID-19, suggesting that a higher BAR is associated with a poorer prognosis. However, further research is required to confirm these findings.

Preoperative Nutrition in Bariatric Surgery: A Narrative Review on Enhancing Surgical Success and Patient Outcomes

Bariatric surgery has become the preferred treatment for individuals with morbid obesity. Nutrition is key in optimizing surgical outcomes by reducing risks and enhancing recovery. Preoperative strategies, such as reducing body fat, decreasing liver size, and improving metabolic profiles, have been shown to facilitate safer surgical procedures with fewer complications. This narrative review aims to provide an analysis of the fundamental role of preoperative nutritional management in improving bariatric surgery outcomes, emphasizing the importance of addressing specific nutritional challenges to enhance surgical safety, recovery, and overall health. Preoperative nutritional interventions focus on correcting comorbidities and nutritional deficiencies, particularly hypovitaminosis and micronutrient imbalances, through a multidisciplinary approach involving nutritionists and other healthcare professionals. These interventions not only prepare patients for the physiological demands of surgery but also initiate a period of adaptation to new dietary habits, aiming to improve long-term compliance and mitigate risks such as postoperative weight regain and dumping syndrome. Adopting dietary changes, such as very low-calorie or ketogenic diets 6-12 weeks before surgery, enhances adherence to postoperative restrictions and overall surgical success. Future research should focus on developing comprehensive guidelines for preoperative nutritional care to improve patient outcomes globally.

Phosphate level changes in oral cancer patients - recognizing the risk for refeeding syndrome

PURPOSE

Patients with oral squamous cell carcinoma (OSCC) often have difficulties in obtaining sufficient nutrition and may develop refeeding syndrome (RFS) during hospitalization. RFS may be fatal if not treated properly. This study clarified changes in perioperative phosphate levels and occurrence of RFS symptoms in OSCC patients to identify clinically notable predisposing factors for RFS in this specific patient population.

METHODS

A retrospective analysis included primary OSCC patients with microvascular free flap reconstruction. Patients with treatment for additional malignancy, hypoparathyroidism, and missing values of preoperative and/or postoperative plasma phosphate (P-Pi) concentration were excluded. The outcome variable was severe postoperative hypophosphataemia (mmol/l) during the postoperative period (P-Pi < 0.50 mmol/l). Predictor variables were age, sex, smoking, heavy alcohol use, diabetes, body mass index (BMI), weight, height, tumour site, tumour size, tracheostomy, nutritional route, and preoperative P-Pi concentration.

RESULTS

Of the 189 patients with primary OSCC, 21 (11%) developed severe hypophosphataemia. Of these patients, 17 (81%) developed RFS symptoms. Higher age (p = 0.01), lower patient height (p = 0.05), and no current smoking (p = 0.04) were significantly associated with postoperative hypophosphataemia. In multivariable regression analyses, higher age (OR 1.06 per year) and age over 70 years (OR 3.77) were independently associated with development of severe hypophosphataemia.

CONCLUSION

Restoration of nutritional balance and close follow-up of electrolyte balance in the perioperative phase are necessary to prevent RFS, especially in patients with oral cancer requiring extensive reconstructions. Special attention should be focused on elderly patients since they are prone to this unnoticeable but potentially life-threatening electrolyte disturbance.

Low albumin-to-creatinine ratios (ACR) are associated with poor outcomes in cancer patients

BACKGROUND

The albumin-to-creatinine ratio (ACR) is known to predict prognosis in liposarcoma patients, but its role in other tumors remains unclear. This study aimed to evaluate the prognostic relationship between ACR and common solid tumors.

METHODS

Data from the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) between 2013 and 2022 were used to analyze patients under 65 years old with solid tumors. Patients were divided into a training cohort (n = 12,027) and a validation cohort (n = 7,985) using simple random sampling. Correlation analysis, Kaplan-Meier method, and restricted cubic spline analysis were conducted to explore ACR's relationship with overall survival (OS). Multivariable logistic regression assessed associations between ACR and Patient-Generated Subjective Global Assessment (PG-SGA), Length of Stay (LOS), and Karnofsky Performance Status (KPS).

RESULTS

In Cox regression, higher ACR levels were associated with better OS in solid tumor patients. Specifically, when using the cutoff value with low ACR as the reference, higher ACR levels were significantly associated with improved OS. For nasopharyngeal carcinoma (HR = 0.49, 95% CI: 0.35-0.67, P < 0.001), gastrointestinal tract tumors (HR = 0.84, 95% CI: 0.74-0.95, P = 0.007), and urogenital neoplasms (HR = 0.55, 95% CI: 0.43-0.71, P < 0.001), higher ACR levels were linked to better OS. When ACR was categorized into tertiles, the results were consistent with those observed using the cutoff value. In gastrointestinal tract tumor patients, higher ACR levels were linked to lower PG-SGA scores and improved KPS scores (P < 0.05). In urogenital neoplasm patients, higher ACR levels were associated with improved KPS scores (P < 0.05).

CONCLUSION

Elevated ACR levels were significantly associated with improved OS in cancer patients, particularly in nasopharyngeal carcinoma, gastrointestinal tract tumors, and urogenital neoplasms. ACR was also linked to better nutritional and functional status, suggesting its potential as a prognostic biomarker.

Interpretable machine learning model for predicting the prognosis of antibody positive autoimmune encephalitis patients

OBJECTIVE

The objective was to utilize nine machine learning (ML) methods to predict the prognosis of antibody positive autoimmune encephalitis (AE) patients.

METHODS

The encephalitis data from the Global Burden of Disease (GBD) study is analyzed to reflect the disease burden of encephalitis. This study included 187 patients with AE. 121 patients as training set and 67 patients as validation set. Decision trees (DT), random forest (RF), extreme gradient boosting (XGBoost), k-nearest neighbor (KNN), support vector machine (SVM), naive bayes (NB), neural network (NN), light gradient boosting machine (LGBM), and logistic regression (LR) are ML methods used to construct predictive models. The constructed models were validated for discrimination, calibration and clinical applicability using validation set data. Shapley additive explanation (SHAP) analysis was used to explain the model.

RESULTS

The number of encephalitis worldwide deaths, incidence and prevalence is increasing every year from 2010 to 2021. The training set included 121 patients with AE. Univariate analysis and LASSO screening identified six variables. The results of constructing models using 9 ML methods showed RF had the highest accuracy (0.860), followed by XGBoost (0.826), with F1 scores of 0.844 and 0.807, respectively. Validation set data showed good discrimination, calibration and clinical applicability of the model. The SHAP values of infection, CSF monocyte percentage, and prealbumin were 0.906, 0.790, and 0.644, respectively.

LIMITATIONS

As a rare disease, the sample size of this study is relatively small.

CONCLUSION

The model constructed using RF and XGBoost has good performance, good discrimination, calibration, clinical applicability, and interpretability.

Association between preoperative serum albumin levels and length of stay in elderly patients with hip fractures: A nonlinear relationship

Previous studies have provided relatively limited evidence in examining the impact of preoperative serum albumin levels on the length of hospital stay (LOS) in patients with hip fractures. This study aimed to elucidate the association between preoperative serum albumin levels and LOS in elderly patients with hip fractures. This retrospective cohort study included 1444 elderly patients undergoing surgical treatment for hip fractures at the Second People's Hospital of Shenzhen from January 2012 to December 2021. The main exposure variable was serum albumin level, and the outcome variable was LOS. A generalized additive model was used to identify the nonlinear relationship between serum albumin levels and LOS, and saturation effects were calculated using a two-piecewise linear regression model. Subgroup analysis was conducted using stratified logistic regression. The median LOS was 10 (8-15) days among all included patients. After adjusting for potential confounding factors (age, sex, comorbidities, hypertension, coronary heart disease, stroke, diabetes, duration of surgery, surgical method, intraoperative blood loss, red cell distribution width, estimated glomerular filtration rate, blood urea nitrogen, postoperative pneumonia, and transfer to ICU), a nonlinear relationship was found between serum albumin levels and LOS, with a turning point at 3.06. On the left side of the turning point, the effect size was not statistically significant (β = 1.84, 95% CI -1.00 to 4.68, P = .2042), while on the right side of the turning point, for every 1 g/dL increase in albumin, LOS decreased by 1.05 days (β = -1.05, 95% CI -1.90 to -0.20, P = .0162). A nonlinear relationship was observed between preoperative serum albumin levels and LOS in elderly patients with hip fractures. When albumin levels were >3.06 g/dL, they were negatively correlated with LOS. This has important implications for clinicians in the development of nutritional improvement strategies.

Modifications to the Geriatric Nutritional Risk Index Predicts Complications After Total Joint Arthroplasty

BACKGROUND

Preoperative malnutrition is a known risk factor for postoperative complications following total joint arthroplasty (TJA); however, there is scant literature comparing which nutritional index is best at predicting these outcomes. The purpose of this study was to investigate the utility of the Maastricht index, Onodera's Prognostic Nutritional Index, the Geriatric Nutritional Risk index, and a novel, modified Geriatric Nutritional Risk Index (mGNRI) in predicting periprosthetic joint infection (PJI), wound complications (WCs), readmission, and reoperation rates after TJA.

METHODS

A single-center, retrospective cohort study was performed of patients who underwent primary TJA from January 2016 to December 2021. The 90-day preoperative albumin, prealbumin, and total lymphocyte count were collected. Outcome measures were PJI, WC, readmission, and return to the operating room. Youden's index (YI) and Receiver operator characteristic curves were used to determine optimal cutoff points. Multivariable logistic regression was used to adjust for potential confounders, including body mass index, age, and the Charlson comorbidity index.

RESULTS

There were 1,575 patients included in the study. The mGNRI had the greatest accuracy (area under the curve = 0.633; optimal cutoff point = 92.8) in predicting postoperative adverse outcomes. Complication rates were significantly higher in the low mGNRI group (≤ 92.8). When controlled for body mass index, Charlson comorbidity index, and age, the odds of PJI, WC, readmission, and reoperation in patients who had low mGNRI were 6.61 (P = 0.005), 3.04 (P = 0.021), 2.25 (P = 0.020), and 2.75 (P = 0.024), respectively.

CONCLUSIONS

The mGNRI is an easy-to-calculate nutritional index and an excellent predictor of postoperative complications following TJA. The mGNRI outperformed Geriatric Nutritional Risk index, Maastricht index, and Onodera's Prognostic Nutritional Index in predicting postoperative complications. Our results suggest that patients who fall below the mGNRI threshold of 92.8 should be carefully considered for nutritional optimization prior to TJA.

Attributable Risk and Consequences of Bone Mineral Density Deficits in Childhood Cancer Survivors

Importance

Data characterizing the severity and changing prevalence of bone mineral density (BMD) deficits and associated nonfracture consequences among childhood cancer survivors decades after treatment are lacking.

Objective

To evaluate risk for moderate and severe BMD deficits in survivors and to identify long-term consequences of BMD deficits.

Design, Setting, and Participants

This cohort study used cross-sectional and longitudinal data from the St Jude Lifetime (SJLIFE) cohort, a retrospectively constructed cohort with prospective follow-up. Participants in SJLIFE are adult survivors of childhood cancer who were diagnosed between 1962 and 2012 and survived 5 years or more from diagnosis. Data were collected from November 2007 to June 2020 and analyzed from January 2021 to November 2023.

Exposures

Childhood cancer therapy exposures, clinically ascertained comorbid conditions, substance use, and sedentary lifestyle.

Main Outcomes and Measures

BMD was evaluated using lumbar quantitative computed tomography and classified by age- and sex-specific z scores with moderate (≤-1 SD) or severe (≤-2 SD) deficits. Multivariable logistic regression estimated odds ratios (ORs), attributable fractions (AFs), and associations between BMD deficits and long-term sequelae (social, functional, and quality of life [QOL]).

Results

Among 3919 five-year survivors (median [range] age, 31.7 [18.0-69.9] years; 2063 [52.6%] male; 105 [2.7%] Hispanic, 607 [15.5%] non-Hispanic Black, and 3153 [80.4%] non-Hispanic White), prevalence of moderate or severe BMD deficits were 21.7% (95% CI, 20.4%-23.0%) and 6.9% (95% CI, 6.1%-7.7%), respectively. Treatment exposures (including age at diagnosis), comorbid conditions, and smoking and sedentary behavior explained 18.5%, 10.2%, and 7.0% of moderate and 55.4%, 51.1%, and 9.9% of severe deficits. Severe deficits were associated with 30 Gy or greater cranial radiotherapy (CRT) (OR, 5.22; 95% CI, 3.74-7.30; AF, 33.0%), testicular or pelvic radiation (OR, 1.70, 95% CI, 1.19-2.44; AF, 11.5%), hypogonadism (OR, 3.27, 95% CI, 2.35-4.55; AF, 25.1%), growth hormone deficiency (OR, 5.28, 95% CI, 3.68-7.56; AF, 26.0%), smoking (OR, 1.71, 95% CI, 1.21-2.43; AF, 6.7%), and sedentary behavior (OR, 2.06, 95% CI, 1.15-3.69; AF, 6.2%). CRT exposure increased risk for declining BMD (OR, 2.94, 95% CI, 1.46-5.91; AF, 8.8%). Survivors with deficits were less likely to live alone and to be employed and more likely to require personal care assistance and to report depressive symptoms and poor QOL.

Conclusions and Relevance

While treatment exposures were associated with long-term BMD deficits, modifiable risk factors, including smoking, sedentary behavior, hypogonadism, and growth hormone deficiency, suggest feasible targets for intervention.

The Impact of Modified Body Mass Index on Clinical Prognosis in the Elderly With Acute Ischemic Stroke

OBJECTIVES

The modified body mass index (mBMI) combines the body mass index and serum albumin, accurately reflecting the nutritional status. It remains uncertain whether modified body mass index influences neurological function and clinical prognosis in elderly patients with acute ischemic stroke.

METHODS

We divided the cohort into quartiles of mBMI (1 to 4). The primary outcome was analyzed using the percentage of patients with a 90-day modified Rankin scale (mRS) score of 0 to 1. There were 7 secondary outcomes, including the disability level at 90 days and the National Institute of Health Stroke Scale (NIHSS) score at 14 and 90 days.

RESULTS

mBMI was negatively associated with clinical prognosis at 90-day mRS score in the primary outcome (β=-0.167; 95% CI -0.311 to 0.023, P =0.023). Moreover, mBMI1 (<896.72) and primary outcomes (β=0.438; 95% CI: -0.018 to 0.894) were positively correlated with higher mBMI. Moreover, the number and percentage of patients completing all the duties and activities are also higher. Age-adjusted Charlson comorbidity index (aCCI) and posterior circulation lesion were positively associated with the clinical prognosis 90-day mRS score in the primary outcome (β=2.218; 95% CI: 1.144-4.300, β=2.771; 95% CI: 1.700-4.516). However, BMI and serum albumin were not associated the with clinical prognosis primary outcome. BMI negatively correlates with secondary outcomes (NIHSS at discharge, β=-0.023; 95% CI: -0.102 to 0.057).

CONCLUSIONS

Our study revealed that mBMI and not BMI could be a better primary outcome predictor in the elderly with acute ischemic stroke, and lower mBMI showed a worse prognosis.

Artificial Intelligence to Predict Chronic Kidney Disease Progression to Kidney Failure: A Narrative Review

Chronic kidney disease is characterised by the progressive loss of kidney function. However, predicting who will progress to kidney failure is difficult. Artificial Intelligence, including Machine Learning, shows promise in this area. This narrative review highlights the most common and important variables used in machine learning models to predict progressive chronic kidney disease. Ovid Medline and EMBASE were searched in August 2023 with keywords relating to 'chronic kidney disease', 'machine learning', and 'end-stage renal disease'. Studies were assessed against inclusion and exclusion criteria and excluded if variables inputted into machine learning models were not discussed. Data extraction focused on specific variables inputted into the machine learning models. After screening of 595 articles, 16 were included in the review. The most utilised machine learning models were random forest, support vector machines and XGBoost. The most commonly occurring variables were age, gender, measures of renal function, measures of proteinuria, and full blood examination. Only half of all studies included clinical variables in their models. The most important variables overall were measures of renal function, measures of proteinuria, age, full blood examination and serum albumin. Machine learning was consistently superior or non-inferior when compared to the Kidney Failure Risk Equation. This review identified key variables used in machine learning models to predict chronic kidney disease progression to kidney failure. These findings lay the foundations for the development of future machine learning models capable of rivalling the Kidney Failure Risk Equation in the provision of accurate kidney failure prediction.

High platelet-to-albumin ratio is associated with 30-day mortality in critically ill patients

BACKGROUND

The role of inflammation and hypoproteinemia in influencing outcomes of critically ill patients has been widely recognized. However, there is a paucity of research on the prognostic value of the platelet-to-albumin ratio (PAR) in critically ill patients. Therefore, the aim of this study is to assess the prognostic significance of PAR in this population.

METHODS

Patients diagnosed with critical illnesses from January 2020 to October 2022 were retrospectively enrolled in our study. Baseline demographic and clinical data were collected for each participant. Platelet counts and albumin levels were measured at baseline, and the PAR was calculated. The area under the receiver operating characteristic curve, Kaplan-Meier survival analysis, and multivariate Cox regression analysis were used to predict 30-day mortality.

RESULTS

Three hundred and seventy-eight patients diagnosed with critical illness were categorized into two groups: survivors (n = 299) and non-survivors (n = 79). Analysis of the 30-day outcome revealed that the area under the curve (AUC) for the PAR (AUC: 0.705; 95% CI 0.639-0.771; p < 0.001) was significantly higher than that for albumin (AUC: 0.673; 95% CI 0.609-0.736; p < 0.001), but slightly lower than that for the APACHE II score (AUC: 0.713; 95% CI 0.650-0.777; p < 0.001). In addition, the Kaplan-Meier survival analysis demonstrated a significantly higher 30-day mortality in the high-PAR group. Furthermore, Cox regression analysis identified albumin (HR: 0.936; 95% CI 0.895-0.978; p = 0.003), APACHE II score (HR: 1.225; 95% CI 1.149-1.305; p < 0.001), and high PAR (HR: 1.237; 95% CI 1.130-1.353; p < 0.001) as independent risk factors for the prognosis of critically ill patients.

CONCLUSIONS

The PAR has emerged as a significant prognostic indicator in critically ill patients, with an elevated ratio being associated with poorer clinical outcomes.

Radiotherapy and inflammaging: the influence of prostate cancer radiotherapy on systemic inflammation

PURPOSE

The present study was performed to investigate the association of prostate cancer radiotherapy with inflammaging, a condition characterized by the elevation of inflammatory blood parameters that significantly increases the susceptibility to the occurrence or progression of age-related conditions.

PATIENTS AND METHODS

A total of 306 patients treated with curative radiotherapy (RT) for prostate cancer were enrolled into the prospective study. Aging-related inflammatory parameters including C-reactive protein (CRP), albumin, fibrinogen, cholesterol, platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR) were analyzed before and at the end of RT, and 3 and 15 months after completion of the RT. Statistical analysis was performed using non-parametric variance analysis.

RESULTS

Overall variance analysis showed a significant influence of RT on all inflammatory parameters (p < 0.001) with the exception of CRP (p = 0.498). Pairwise analysis revealed a significant elevation of fibrinogen (p = 0.041), NLR (p < 0.001), and PLR levels (p < 0.001) as well as a significant decrease of albumin (p < 0.001) and cholesterol levels (p < 0.001) during the RT course. After completion of RT, a significant recovery was detected for NLR, PLR, albumin and cholesterol. However, 15 months after RT, PLR, fibrinogen, and cholesterol remained significantly lower when compared to the baseline (p < 0.001).

CONCLUSION

Our results indicate that radiation therapy triggers chronic inflammatory processes that could contribute to the development, acceleration or worsening of age-related alterations and conditions. Further investigations to estimate the long-term consequences of curative radiation therapy on clinical manifestations of aging are warranted.

Association of geriatric nutritional risk index with total testosterone in elderly adults in the US: evidence from NHANES 2011-2016

Background and objectives

There is growing evidence that deficiencies in specific nutrients can impact testosterone levels in older men. However, research examining the predictive value of overall nutritional status on testosterone levels remains limited. The Geriatric Nutritional Risk Index (GNRI) is an effective tool for assessing the nutritional status of the elderly. Therefore, this study aimed to investigate the potential correlation between the GNRI and serum total testosterone (TT).

Methods

A representative sample of U.S. males aged 60 years and older who participated in the National Health and Nutrition Examination Survey (NHANES) cycles from 2011 to 2016 was utilized for this cross-sectional study. The research included a total of 829 older adults. Tandem mass spectrometry and liquid chromatography were employed to quantify TT. To examine the association between GNRI and TT, restricted cubic splines (RCS) and weighted multivariate regression analyses were conducted. Subgroup analysis was performed to identify the variables influencing the positive association between GNRI and TT. Additionally, a sensitivity analysis was carried out to compare the weighted and unweighted data.

Results

After adjusting for all other factors, a positive association was found between GNRI and TT. The beta coefficient was 5.59, with a 95% confidence interval of 2.16 to 9.01, and a p-value of 0.003. Compared to the lowest quartile of GNRI (Q1), the second quartile (Q2), third quartile (Q3), and fourth quartile (Q4) significantly increased the level of TT. The beta coefficients for Q2, Q3, and Q4 were 70.15 (p = 0.022), 104.40 (p < 0.001), and 84.83 (p < 0.001), respectively. In subgroup analyses, statistically significant associations were observed among participants who did not have diabetes, had hypertension, and had a BMI of 24.9 or less. According to the sensitivity analysis, unweighted data also found GNRI to be associated with TT (beta = 3.09, P = 0.031).

Conclusion

A positive correlation was identified between the GNRI and TT in the elderly male population of the United States. Further prospective studies with larger sample sizes are needed to confirm the causal relationship between GNRI and TT.

Prevalence and Prognostic Significance of Malnutrition in Patients with Non-Alcoholic Fatty Liver Disease (NAFLD)

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) has become the primary cause of chronic liver disease. Although malnutrition is a common late-stage clinical consequence during the course of organ dysfunction and death in critical patients, it has not received sufficient attention in the context of NAFLD. The aim of this study was to explore the prevalence and prognostic significance of malnutrition in patients with NAFLD using three simple tools for nutrition assessment.

METHODS

Participants (n = 3908) in the National Health and Nutrition Examination Survey (NHANES) database were divided into NAFLD (n = 1737) and non-NAFLD (n = 2171) groups. The controlling nutritional status (CONUT) score, prognostic nutrition index (PNI), and nutrition risk index (NRI) were applied to investigate the association between malnutrition and mortality among NAFLD patients.

RESULTS

The median age of participants was 54.0 years, with females accounting for 52.2% of the study cohort. A majority of elderly male participants had NAFLD, and up to 18% of NAFLD patients suffered from malnutrition. During the average period of follow-up (24.4 ± 7.2 months), 36 all-cause deaths occurred in the NAFLD group. Multivariate analysis revealed that malnutrition was associated with significantly higher mortality compared with normal nutrition. The adjusted hazard ratio (HR) for PNI was 4.44 (95% CI: 2.07-9.53, p < 0.001), and for NRI it was 6.98 (95% CI: 1.47-33.11, p = 0.014). The CONUT score also showed a trend for association with higher mortality.

CONCLUSION

Malnutrition is a common comorbidity in NAFLD patients and is closely associated with poor prognosis and higher mortality. The three nutrition assessment tools employed in this study could be used to improve the predictive ability of nutritional status for mortality among NAFLD patients.

Construction and validation of a predictive model for the risk of malnutrition in hospitalized patients over 65 years of age with malignant tumours: a single-centre retrospective cross-sectional study

Background

Nutritional status is a critical indicator of overall health in individuals suffering from malignant tumours, reflecting the complex interplay of various contributing factors. This research focused on identifying and analysing the factors influencing malnutrition among older patients aged ≥65 with malignant tumours and aimed to develop a comprehensive risk model for predicting malnutrition.

Methods

This study conducted a retrospective analysis of clinical data from 3,387 older inpatients aged ≥65 years with malignant tumours collected at our hospital from July 1, 2021, to December 31, 2023. The dataset was subsequently divided into training and validation sets at an 8:2 ratio. The nutritional status of these patients was evaluated using the Nutritional Risk Screening Tool 2002 (NRS-2002) and the 2018 Global Leadership Initiative on Malnutrition (GLIM) Standards for Clinical Nutrition and Metabolism. Based on these assessments, patients were categorized into either malnutrition or non-malnutrition groups. Subsequently, a risk prediction model was developed and presented through a nomogram for practical application.

Results

The analysis encompassed 2,715 individuals in the development cohort and 672 in the validation cohort, with a malnutrition prevalence of 40.42%. A significant positive correlation between the incidence of malnutrition and age was observed. Independent risk factors identified included systemic factors, tumour staging (TNM stage), age, Karnofsky Performance Status (KPS) score, history of alcohol consumption, co-infections, presence of ascites or pleural effusion, haemoglobin (HGB) levels, creatinine (Cr), and the neutrophil-to-lymphocyte ratio (NLR). The predictive model exhibited areas under the curve (AUC) of 0.793 (95% confidence interval (CI) [0.776-0.810]) for the development cohort and 0.832 (95% CI [0.801-0.863]) for the validation cohort. Calibration curves indicated Brier scores of 0.186 and 0.190, while the Hosmer-Lemeshow test yielded chi-square values of 5.633 and 2.875, respectively (P > 0.05). Decision curve analysis (DCA) demonstrated the model's clinical applicability and superiority over the NRS-2002, highlighting its potential for valuable clinical application.

Conclusion

This study successfully devised a straightforward and efficient prediction model for malnutrition among older patients aged 65 and above with malignant tumours. The model represents a significant advancement as a clinical tool for identifying individuals at high risk of malnutrition, enabling early intervention with targeted nutritional support and improving patient outcomes.

Use of Mindex and Demiquet for assessing nutritional status in older adults

BACKGROUND

The Mini Nutritional Assessment (MNA) is a validated questionnaire that estimates nutritional status. Given that this questionnaire uses stature measurement, which are unreliable in older adults, Mindex and Demiquet are alternatives to BMI for assessing malnutrition risk. However, the correlation of Mindex and Demiquet values with MNA scores has not been investigated.

OBJECTIVES

This cross-sectional study examined the correlation of Mindex and Demiquet with nutritional status and blood parameters in older adults in Thailand.

METHODS

The correlation of Mindex and Demiquet with MNA scores and body mass index (BMI), as well as blood parameters, was evaluated. Sociodemographic characteristics, anthropometric measurements, and blood test results were collected from 347 participants aged 60 years and older (mean ± SD, 66.4 ± 5.3 years). Spearman's rank correlation coefficient and multiple logistic regression analyses were used in statistical analyses.

RESULTS

MNA scores were significantly correlated with Mindex (P < 0.001) and Demiquet (P = 0.001), and BMI was related to Mindex and Demiquet (P < 0.001). Low-density lipoprotein cholesterol (LDL-C) predicted MNA scores (P = 0.048) in males but not females.

CONCLUSIONS

Mindex and Demiquet values were positively correlated with MNA scores and BMI. In addition, LDL-C predicted MNA scores in male older adults.

A nomogram for predicting nutritional risk before gastric cancer surgery

BACKGROUND AND OBJECTIVES

Gastric cancer (GC) is the fourth leading cause of cancer death worldwide. Patients with GC have higher nutritional risk. This study aimed to construct a nomogram model for predicting preoperative nutritional risk in patients with GC in order to assess preoperative nutritional risk in patients more precisely.

METHODS AND STUDY DESIGN

Patients diagnosed with GC and undergoing surgical treatment were included in this study. Data was collected through clinical information, laboratory testing, and radiomics-derived characteristics. Least absolute shrinkage selection operator (LASSO) regression analysis and multi-variable logistic regression were employed to construct a clinical prediction model, which takes the form of a logistic nomogram. The effectiveness of the nomogram model was evaluated using receiver operat-ing characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA).

RESULTS

A total of three predictors, namely body mass index (BMI), hemoglobin (Hb) and radiomics characteristic score (Radscore) were identified by LASSO regression analysis from a total of 21 variables studied. The model constructed using these three predictors displayed medium prediction ability. The area under the ROC curve was 0.895 (95% CI 0.844-0.945) in the training set, with a cutoff value of 0.651, precision of 0.957, and sensitivity of 0.718. In the validation set, it was 0.880 (95% CI 0.806-0.954), with a cutoff value of 0.655, precision of 0.930, and sensitivity of 0.698. DCA also confirmed the clinical benefit of the combined model.

CONCLUSIONS

This simple and dependable nomogram model for clinical prediction can assist physicians in assessing preoperative nutritional risk in GC patients in a time-efficient and accurate manner to facilitate early identification and diagnosis.

Evaluation of different screening tools for detection of malnutrition in hospitalised patients

AIMS AND OBJECTIVES

To assess the prevalence of malnutrition in hospitalised adult patients, and to evaluate the accuracy of the most commonly used nutritional screening tools for identifying individuals at risk of malnutrition.

METHODS

A prospective cross-sectional study was conducted on a total of 248 hospitalised patients in internal medicine wards (mean age: 75.2 years; 39.5% females). Nutritional screening was performed within 48 h of admission using the following tools: Malnutrition Universal Screening Tool (MUST), Nutrition Risk Screening Tool (NRS-2002), Malnutrition Screening Tool (MST), Short Nutritional Assessment Questionnaire (SNAQ), and Mini Nutritional Assessment Short Form (MNA-SF). The criteria of the European Society for Clinical Nutrition and Metabolism (ESPEN) were used as the gold standard for defining malnutrition. Patients were also evaluated using the Subjective Global Assessment (SGA) and the Global Leadership Initiative on Malnutrition (GLIM) criteria. Accuracy was determined by examining sensitivity, specificity, and positive and negative predictive values, and diagnostic agreement was determined by calculation of Cohen's kappa (κ). The study is reported as per the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.

RESULTS

The ESPEN criteria classified 20.2% of the hospitalised patients as malnourished. Overall, the MUST had the highest sensitivity (80.0%), specificity (74.7%) and positive predictive value (44.4%). For the subgroup of patients aged >65 years, the MNA-SF had high sensitivity (94.4%) but low specificity (39.0%). Based on Cohen's κ, the SGA and GLIM criteria showed low agreement with the ESPEN criteria.

CONCLUSION

The MUST was the most accurate nutritional screening tool, through the MST is more easily applied in many clinical settings. A comprehensive assessment of malnutrition that considers muscle mass is crucial for the reliable diagnosis of malnutrition.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

The present findings underscore the importance of accurate assessment of the malnutrition status of hospitalised patients and the need for a reliable screening tool. No patient or public contribution.

Prognostic nutritional index (PNI) correlates with survival in head and neck cancer patients more precisely than other nutritional markers - real world data

PURPOSE

The survival benefit with higher body mass index (BMI) of patients suffering from head and neck squamous cell carcinoma (HNSCC) is documented as BMI paradox. As the early re-nourishment of high-risk patients determine survival, we searched for a nutritional status marker suitable for everyday screening. Grouping patients based on the 8th Edition of TNM Classification, we investigated for the first time the candidate nutritional status markers among TNM8 subgroups, including the newly introduced p16 positive oropharyngeal squamous cell cancer (OPSCC) patients.

METHODS

We conducted a retrospective cohort study enrolling 661 patients and collecting anthropometric indices, laboratory parameters, clinical scores, nutritional risk scores. To discover the best one for screening survival analyses and correlation tests were executed.

RESULTS

By performing univariate Cox regression, we found three nutritional markers significantly correlating with overall survival (OS) and cancer specific survival (CSS): BMI at diagnosis, percent of weight loss over six months and prognostic nutritional index (PNI). The latter proved to be independent of tumor stage. p16 negative OPSCC patient's OS and CSS did not correlate with BMI, but it did correlate with PNI and percent of weight loss. BMI was the only marker correlating with OS, only in stage 4 hypopharyngeal cancer patients. All three markers significantly correlated with survival among p16 positive oropharyngeal and glottic cancer patients.

CONCLUSION

We found BMI, percent of weight loss and PNI good candidate markers for malnutrition. PNI proved to be superior in every aspect, enabling the treating physicians to discover high-risk patients in need of aggressive re-nourishment. The survival of supraglottic laryngeal squamous cancer patients seemed to be independent of these nutritional status markers, which observation should be a subject of further investigations.

Combined Effects of Dietary Guidance and Prosthodontic Rehabilitation on Nutritional Biomarkers in Edentulous Patients: A Randomized Controlled Trial

Background Previous studies have suggested that providing dietary guidance along with denture treatment may improve dietary diversity in edentulous patients; however, none have examined the effects on nutritional blood biomarkers. This study investigated the effects of individualized dietary guidance combined with complete denture treatment on nutritional blood biomarker levels, dietary intake, and masticatory function. Materials and methods This was a prospective, randomized, open-label, controlled trial. Patients seeking new dentures with at least one edentulous arch were randomly allocated to Group A (denture treatment only) or Group B (dietary guidance followed by denture treatment). Individualized dietary guidance was provided exclusively to Group B by dentists based on baseline assessments. Baseline and post-treatment assessments included blood tests, a dietary survey using the Brief-type Self-Administered Diet History Questionnaire (BDHQ), occlusal force measurements using pressure-sensitive film, and masticatory performance tests using gummy jelly. The results from the baseline and post-treatment assessments were compared within each group, and exploratory comparisons of changes were conducted between groups. Results A total of 39 individuals completed the protocol (20 in Group A and 19 in Group B; mean age 73.4 ± 10.6 years; 17 males, 22 females). Both groups showed a significant increase in occlusal force after treatment (P = 0.007 for Group A; P = 0.011 for Group B), while no improvement in blood biomarkers was observed. In Group B, the intake of fish with bones (P = 0.035) and non-oily fish (P = 0.030), as evaluated using the BDHQ, significantly increased after treatment. Group B also showed significantly greater increases than Group A in methionine (P = 0.012), lysine (P = 0.048), and total essential amino acids (P = 0.029), as evaluated by blood tests, as well as the intake of fish with bones (P = 0.043). Conclusion Although denture treatment may increase occlusal force, combining dietary guidance with prosthetic treatment appears to further enhance dietary habits and support the nutritional status of edentulous patients.

Exposing telomere length's impact on malnutrition risk among older adults residing in the community: Insights from cross-sectional data analysis

BACKGROUND

Successful aging is associated with an increase in life expectancy. For a better understanding of the aging process, recognize the relationship between telomere length and nutritional status is a novel approach in geriatric science. Telomers shortening coincides with a decrease in life expectancy, and an increased risk of malnutrition-related diseases.

GOALS

The goal of this study was to investigate whether a shorter telomere length is associated with a greater likelihood of malnutrition in community-dwelling older adults.

METHODS

A cross-sectional study with a probabilistic sample of 448 older people aged 60 years old or over, and living in the urban area of an inland Brazilian municipality was conducted. The information was gathered in two stages: a) a personal interview was conducted to obtain sociodemographic, cognitive, and functional autonomy data. The Mini Nutritional Assessment was used to assess the risk of malnutrition. b) a blood sample was taken to proceed with the relative quantitative study of telomere length using real-time qPCR method. The differences between the groups were estimated using Pearson's v2 and Fisher's exact tests. In the data analysis, descriptive statistics and multiple logistic regression were applied.

RESULTS

In 34.15% of the total sample, malnutrition was recognized as a risk factor. Older people with the shortest telomere length had more chances of getting malnutrition (OR = 1.63; IC:95% = 1.04-2.55) compared to those with longer telomeres, independent of age groups, family income, multimorbidity, cognitive decline, and depressive symptoms.

CONCLUSION

The creation of clinical trials and the implementation of therapies to reduce the risk of malnutrition will be aided using the telomere length as an aging innovative biomarker, connected with nutritional status.

Predictive value of the controlling nutritional status (CONUT) score to assess long-term mortality (10 Years) in patients with hypertension

BACKGROUND AND AIMS

Malnutrition is associated with poor outcomes in patients with chronic diseases. The aim of this study is to investigate the prevalence of malnutrition in patients with hypertension and relationship between malnutrition severity and long-term mortality in these patients.

METHODS AND RESULTS

The study included 11,278 patients with hypertension from the National Health and Nutrition Examination Survey database. The degree of malnutrition was assessed using the Controlled Nutritional Status score, with patients divided into normal, mild, and moderate-to-severe groups. After 10 years of follow-up, the results showed that patients who died had higher CONUT scores, poorer nutritional status, and lower albumin, total cholesterol, and lymphocytes than those who survived (P < 0.05). The Kaplan-Meier analysis revealed that patients with poor nutritional status had a significantly higher risk of all-cause death. In the Non-Lipid Lowering Drugs group, the CONUT score (hazard ratio (HR): 1.225; 95% confidence interval (CI): 1.162-1.292; P < 0.0001), as well as mild (HR: 1.532; 95% CI 1.340-1.751; P < 0.0001) and moderate-to-severe malnutrition (HR: 2.797; 95% CI: 1.441-5.428; P = 0.0024), were independent predictors of long-term mortality. The competing risk regression models showed that cardiovascular and cerebrovascular mortality increased with increasing CONUT scores. The results were robust in both subgroup and sensitivity analyses.

CONCLUSIONS

Malnutrition significantly impacts long-term mortality in hypertensive patients. The CONUT score may be a useful tool for assessing the nutritional status of patients with hypertension in the non-lipid-lowering population and for predicting their long-term mortality.

Geraniol intake improves age-related malnutrition in mice

AIM

Geraniol is an acyclic monoterpenoid that is abundant in many plants, including rose, lemongrass, and lavender. As geraniol has various beneficial functions, rose oil rich in geraniol is not only used for aromatherapy but also as a supplement to promote health benefits. However, the beneficial effects of geraniol on age-related pathologies are unknown. In this study, we aimed to clarify the effects of geraniol intake on age-related pathologies.

METHODS

We orally administered geraniol to aged mice (age: 24-29 months) five times a week for 4 weeks and sampled their blood and various organs. We investigated age-related changes in the blood and organ samples. Furthermore, we treated HepG2 cells with geraniol and examined the expression level of the ALB gene and the amount of secreted albumin in vitro.

RESULTS

Geraniol significantly increased blood albumin, total cholesterol, and red blood cell counts, indicating an improvement in nutritional markers in aged mice. Geraniol also transcriptionally increased the Alb gene expression in the liver of aged mice. Furthermore, treatment with geraniol significantly upregulated the ALB gene expression and the secretion of albumin in the conditioned medium of HepG2 cells.

CONCLUSION

Geraniol increases serum albumin levels at the transcriptional level. Geraniol intake can be an effective strategy for age-related malnutrition. Geriatr Gerontol Int 2024; 24: 1233-1240.

Nutritional status and related factors in gastric cancer patients after gastrectomy: a cross-sectional study

<b>Introduction: </b> Gastrectomy due to gastric cancer induces metabolic changes in body composition, directly affecting nutritional status. <br><br><b>Aim:</b> The aim of this cross-sectional study was to investigate the nutritional status and related factors in gastric cancer patients after total and subtotal gastrectomy.<br><br><b>Materials and methods:</b> A total of 41 patients who underwent gastrectomy due to gastric cancer were included: 20 patients (48.8%) with total gastric resection and 21 patients (51.2%) with subtotal resection were enrolled. The evaluation was performed over a follow-up period ranging from two to four years after surgery during routine oncological monitoring visits. The laboratory tests, bioimpedance parameters, physical activity, and quality of life were evaluated.<br><br><b>Results:</b> The only statistically significant differences included BMI, fat percentage, fat mass, and metabolic age in the subtotal gastrectomy group. Overall, post-gastrectomy patients showed suboptimal vitamin D concentration and low physical activity level and were found to be at risk of malnutrition assessed with prealbumin concentration and total lymphocyte count.<br><br><b>Discussion:</b> The nutritional status and life quality do not significantly differ between total and subtotal gastric cancer patients.<br><br><b>Conclusions:</b> The nutritional status and life quality do not significantly differ between total and subtotal post-gastrectomy patients in long-term follow-up. The analysis of selected parameters suggests that post-gastrectomy patients are at risk of malnutrition.<br><br><b>Study significance:</b> The presented study brings better insight into the nutritional status of gastric cancer patients after gastrectomy in long-term follow-up.

Nutritional assessment of Chinese gynecologic cancer survivors with post-surgical lower limb lymphedema: a cross-sectional study

Objective

This study aims to evaluate the nutritional status of Chinese gynecologic cancer survivors with post-surgical lower limb lymphedema (LLL) by analyzing serum albumin levels and the prognostic nutritional index (PNI).

Methods

A retrospective cross-sectional study was conducted at two Chinese medical centers. The cohort comprised 155 gynecologic cancer survivors who developed symptomatic unilateral LLL post-surgery, during the period from September 2021 to June 2024. Nutritional status was assessed by measuring serum albumin and PNI. Statistical analysis was performed using univariate and multivariate logistic regression models to identify factors associated with low serum albumin and PNI.

Results

The mean age of the cohort was 55.47 ± 10.56 years, and the median total survival time was 72.0 months (36.5, 111.5 months). The prevalence of low serum albumin (< 40 g/L) was 40.0%, and low PNI (< 45) was 80.6%. Significant associations were found between low hemoglobin levels and both low serum albumin (OR = 1.05, 95% CI: 1.02-1.08, p < 0.001) and low PNI (OR = 1.09, 95% CI: 1.04-1.13, p < 0.001). Advanced International Society of Lymphology stage 3 was also associated with low albumin (OR = 0.18, 95% CI: 0.03-0.99, p < 0.05).

Conclusion

The study highlights a significant prevalence of high risk of malnutrition among Chinese gynecologic cancer survivors with LLL, underscoring the need for regular nutritional assessments and interventions.

Comparative Study of Different Inflammation Definition Methods of GLIM in the Diagnosis of Malnutrition in Patients with Acute Pancreatitis

Purpose

This study aims to investigate the influence of the Global Leadership Initiative on Malnutrition (GLIM) on diagnosing malnutrition in acute pancreatitis (AP) based on various inflammatory criteria.

Patients and Methods

A total of 258 AP patients admitted to a large medical center between June 2019 and January 2022 were retrospectively analyzed. All patients underwent evaluation using the original GLIM and GLIM criteria based on C-reactive protein (CRP), albumin, neutrophil/lymphocyte ratio, and CRP/albumin ratio (CAR). The study explored the impact of malnutrition diagnosis using different GLIM criteria on various clinical outcomes of AP patients and assessed the agreement of different GLIM criteria compared to the original GLIM.

Results

Thirty-seven (14.34%) patients were malnourished according to the original GLIM criteria. Using the other four criteria, malnutrition rates ranged from 6.59% to 12.40%. Malnutrition diagnosed by all GLIM criteria was associated with local complications. Malnutrition identified by the original, CRP-based, and CAR-based GLIM criteria was also associated with infectious complications and composite outcomes. Meanwhile, albumin-based malnutrition was associated with all adverse outcomes except organ failure. When considering all four GLIM criteria except the original one, malnourished patients exhibited longer lengths of stay than non-malnourished patients. Under the CRP- and albumin-based GLIM criteria, hospitalization costs were higher for malnourished patients. The sensitivity analyses demonstrated the robustness of the results. The agreement of the four GLIM criteria with the original GLIM criteria were consistent with the corresponding incidence of malnutrition.

Conclusion

This study validated the GLIM criteria for the first time in AP. Malnourished patients were more likely to experience local complications than non-malnourished AP patients. However, the inconsistency between GLIM criteria based on disease burden and various inflammatory markers was significant. The inflammatory marker-based GLIM criteria demonstrated a stronger predictive value than the original GLIM criteria in assessing prognosis in AP patients.

Relevance of plasma lipoproteins and small metabolites in assessment of nutritional status among patients with severe injuries

Background

This study aimed to identify plasma lipoproteins and small metabolites associated with high risk of malnutrition during intensive care unit (ICU) stay in patients with severe injuries.

Methods

This observational prospective exploratory study was conducted at two level-1 trauma centers in the Netherlands. Adult patients (aged ≥18 years) who were admitted to the ICU for more than 48 h between July 2018 and April 2022 owing to severe injuries (polytrauma, as defined by Injury Severity Scores of ≥16) caused by blunt trauma were eligible for inclusion. Partial least squares discriminant analysis was used to analyze the relationship of 112 lipoprotein-related components and 23 small metabolites with the risk of malnutrition (modified Nutrition Risk in Critically Ill score). Malnutrition was diagnosed based on Subjective Global Assessment scores. The relationship of lipoprotein properties and small metabolite concentrations with malnutrition (during ICU admission) was evaluated using mixed effects logistic regression.

Results

Overall, 51 patients were included. Lower (very) low-density lipoprotein ([V]LDL) (free) cholesterol and phospholipid levels, low particle number, and higher levels of LDL triglycerides were associated with a higher risk of malnutrition (variable importance in projection [VIP] value >1.5). Low levels of most (V)LDL and intermediate-density lipoprotein subfractions and high levels of high-density lipoprotein Apo-A1 were associated with the diagnosis of malnutrition (VIP value >1.5). Increased levels of dimethyl sulfone, trimethylamine N-oxide, creatinine, N, N-dimethylglycine, and pyruvic acid and decreased levels of creatine, methionine, and acetoacetic acid were also indicative of malnutrition (VIP value >1.5). Overall, 14 lipoproteins and 1 small metabolite were significantly associated with a high risk of malnutrition during ICU admission (P <0.05); however, the association did not persist after correcting the false discovery rate (P=0.35 for all).

Conclusion

Increased triglyceride in several lipoprotein subfractions and decreased levels of other lipoprotein subfraction lipids and several small metabolites (involved in the homocysteine cycle, ketone body formation, and muscle metabolism) may be indicative of malnutrition risk. Following validation in larger cohorts, these indicators may guide institution of preventive nutritional measures in patients admitted to the ICU with severe injuries.

Association of naples prognostic score and lung health: A population-based study

BACKGROUND

The Naples Prognostic Score (NPS) is a novel indicator of inflammatory and nutritional status, but its relationship to lung health is unknown.

OBJECTIVE

To evaluate the relationship of NPS to lung health problems.

METHODS

A total of 15,600 participants aged 20 years or older with an available assessment of chronic lung diseases were enrolled from the National Health and Nutrition Examination Survey 2007-2012. The NPS was calculated based on serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio. Associations of NPS with chronic lung disease (diagnosed asthma, chronic bronchitis, and emphysema), respiratory symptoms (cough, phlegm production, wheeze, and exertional dyspnea), and spirometric measurements (FEV1, FVC, and obstructive or restrictive spirometry pattern) were evaluated. Kaplan-Meier survival analysis and multiple Cox regressions were used to assess the significance of NPS in relation to all-cause mortality and chronic lower respiratory diseases mortality in participants. Furthermore, to comprehensively assess the association between NSP and chronic lower respiratory diseases mortality, Fine-Gray subdistribution hazards model was performed to analyze non-chronic lower respiratory diseases mortality as a competitive risk.

RESULTS

People with a higher NPS score were associated with greater odds of asthma, chronic bronchitis, respiratory symptoms (including phlegm production, wheeze, and exertional dyspnea), and a greater risk of obstructive and restrictive spirometry. A higher NPS score was significantly associated with decreased FEV1 and FVC in both overall participants and those with lung health problems. Longitudinally, we found that those in the category with highest NPS were at greater risk of all-cause mortality and chronic lower respiratory diseases mortality in those with chronic lung disease, and respiratory symptoms.

CONCLUSIONS

An elevated NPS is associated with a host of adverse pulmonary outcomes. Prospective studies to define NPS as a biomarker for impaired lung health are warranted.

The relationship between nutritional status and prognosis in advanced gastrointestinal cancer patients in palliative care: a prospective cohort study

OBJECTIVE

The study aimed to determine the nutritional status and its prognostic effect on the survival of patients with advanced gastrointestinal cancer.

METHODS

A prospective cohort study design was conducted in a tertiary hospital in Shanghai, China. The study consisted of 202 advanced gastrointestinal (GI) cancer patients from a palliative care unit. The following data were collected from the patients: biochemical indicators, i.e., anemia (hemoglobin levels), albumin, pre-albumin, C-reactive protein (CRP), and anthropometric parameters, i.e., body mass index (BMI), nutritional status by Patient-Generated Subjective Global Assessment (PG-SGA), and performance status by Karnofsky Performance Status (KPS). Severe malnutrition was confirmed with the PG-SGA score of ≥ 9. Kaplan-Meier survival analysis and the log-rank test were used to calculate overall survival (OS). The effect of nutritional status on survival was performed by Cox regression analysis.

RESULTS

Severe malnutrition was found in 71.3% of patients according to the cutoff of the PG-SGA. PG-SGA score ≥ 9, albumin level < 35 g/L, and CRP level ≥ 10 mg/L predicted shortened life expectancy. Multivariate Cox regression analysis results showed that the PG-SGA score ≥ 9 and the albumin level < 35 g/L were predictive of OS.

CONCLUSION

Our data support that severe malnutrition is a predictor for OS in patients with advanced GI cancer. Information on nutritional status should be considered to individualize palliative care plan for these patients, and hence improve their quality of life.

Nutritional risk and adverse health outcomes in Chinese community-dwelling older adults: A study based on the Elderly Nutritional Indicators for Geriatric Malnutrition Assessment (ENIGMA)

OBJECTIVES

Malnutrition and nutritional risk are risk factors for many adverse health outcomes in older adults, but they have rarely been assessed in China. The aim of this study was to evaluate the availability of Elderly Nutritional Indicators for Geriatric Malnutrition Assessment (ENIGMA), a nutritional scale originally developed to predict mortality, in assessing nutritional risks and predicting adverse health outcomes in Chinese community-dwelling older adults.

METHODS

This was a population-based longitudinal cohort study (Chinese Longitudinal Healthy Longevity Survey), with a 4-y follow-up of 2063 community-dwelling adults aged 65 y or older. Nutritional risks were assessed via the use of ENIGMA and Geriatric Nutritional Risk Index (GNRI) at baseline (the 2014 wave). Cognitive impairment, functional limitation, and frailty were evaluated using the Chinese version of the Mini-Mental State Examination, Instrumental Activities of Daily Living/Instrumental Activities of Daily Living scale, and Frailty Index, respectively, at baseline and 4-y follow-up (the 2018 wave). Mortality was measured by survival status and duration of exposure to death from baseline to follow-up. The associations of nutritional risks with prevalent/incident cognitive impairment, functional limitation and frailty, and 4-y mortality were estimated using logistic regression and Cox proportional hazards regression models, adjusting for confounders. The discriminatory accuracy of ENIGMA and GNRI for these adverse health outcomes were compared by receiver operating characteristic analyses.

RESULTS

According to ENIGMA, 48.6% of the Chinese community-dwelling older adults (age: 86.5±11.3 y) showed moderate and high nutritional risk. Nutritional risks defined by the ENIGMA were significantly associated with increased prevalence and incidence of cognitive impairment, functional limitation, and frailty (odds ratio ranging from 1.79 to 89.6, values ranging from P < 0.001 to 0.048) but were mostly insignificant for that defined by GNRI. With respect to 4-y mortality, nutritional risks as defined by GNRI showed better prediction effects than those defined by ENIGMA. Receiver operating characteristic analyses indicated that nutritional risks defined by ENIGMA had better discriminatory accuracy than those defined by GNRI for prevalent and incident cognitive impairment (C = 0.73 vs 0.64, P < 0.001; C = 0.65 vs 0.59, P = 0.015, respectively), functional limitation (C = 0.74 vs 0.63, P < 0.001 at baseline; C = 0.61 vs 0.56, P = 0.016 at follow-up), frailty (C = 0.85 vs 0.67, P < 0.001 at baseline; C = 0.64 vs 0.55, P < 0.001 at follow-up), and even 4-y mortality (C = 0.68 vs 0.64, P = 0.020).

CONCLUSIONS

ENIGMA could serve as a nutritional risk screening tool that has a robust role in predicting cognitive impairment, functional limitation, and frailty in Chinese community-dwelling older adults. It may be recommended for early nutritional risk screening and has the potential to guide early nutritional intervention in communities and primary care settings in China.