Validation of an Artificial Intelligence-Based Ultrasound Imaging System for Quantifying Muscle Architecture Parameters of the Rectus Femoris in Disease-Related Malnutrition (DRM).

(1) Background: The aim was to validate an AI-based system compared to the classic method of reading ultrasound images of the rectus femur (RF) muscle in a real cohort of patients with disease-related malnutrition. (2) Methods: One hundred adult patients with DRM aged 18 to 85 years were enrolled. The risk of DRM was assessed by the Global Leadership Initiative on Malnutrition (GLIM). The variation, reproducibility, and reliability of measurements for the RF subcutaneous fat thickness (SFT), muscle thickness (MT), and cross-sectional area (CSA), were measured conventionally with the incorporated tools of a portable ultrasound imaging device (method A) and compared with the automated quantification of the ultrasound imaging system (method B). (3) Results: Measurements obtained using method A (i.e., conventionally) and method B (i.e., raw images analyzed by AI), showed similar values with no significant differences in absolute values and coefficients of variation, 58.39-57.68% for SFT, 30.50-28.36% for MT, and 36.50-36.91% for CSA, respectively. The Intraclass Correlation Coefficient (ICC) for reliability and consistency analysis between methods A and B showed correlations of 0.912 and 95% CI [0.872-0.940] for SFT, 0.960 and 95% CI [0.941-0.973] for MT, and 0.995 and 95% CI [0.993-0.997] for CSA; the Bland-Altman Analysis shows that the spread of points is quite uniform around the bias lines with no evidence of strong bias for any variable. (4) Conclusions: The study demonstrated the consistency and reliability of this new automatic system based on machine learning and AI for the quantification of ultrasound imaging of the muscle architecture parameters of the rectus femoris muscle compared with the conventional method of measurement.

AI-Assisted Body Composition Assessment Using CT Imaging in Colorectal Cancer Patients: Predictive Capacity for Sarcopenia and Malnutrition Diagnosis.

(1) Background: The assessment of muscle mass is crucial in the nutritional evaluation of patients with colorectal cancer (CRC), as decreased muscle mass is linked to increased complications and poorer prognosis. This study aims to evaluate the utility of AI-assisted L3 CT for assessing body composition and determining low muscle mass using both the Global Leadership Initiative on Malnutrition (GLIM) criteria for malnutrition and the European Working Group on Sarcopenia in Older People (EWGSOP2) criteria for sarcopenia in CRC patients prior to surgery. Additionally, we aim to establish cutoff points for muscle mass in men and women and propose their application in these diagnostic frameworks. (2) Methods: This retrospective observational study included CRC patients assessed by the Endocrinology and Nutrition services of the Regional University Hospitals of Malaga, Virgen de la Victoria of Malaga, and Vall d'Hebrón of Barcelona from October 2018 to July 2023. A morphofunctional assessment, including anthropometry, bioimpedance analysis (BIA), and handgrip strength, was conducted to apply the GLIM criteria for malnutrition and the EWGSOP2 criteria for sarcopenia. Body composition evaluation was performed through AI-assisted analysis of CT images at the L3 level. ROC analysis was used to determine the predictive capacity of variables derived from the CT analysis regarding the diagnosis of low muscle mass and to describe cutoff points. (3) Results: A total of 586 patients were enrolled, with a mean age of 68.4 ± 10.2 years. Using the GLIM criteria, 245 patients (41.8%) were diagnosed with malnutrition. Applying the EWGSOP2 criteria, 56 patients (9.6%) were diagnosed with sarcopenia. ROC curve analysis for the skeletal muscle index (SMI) showed a strong discriminative capacity of muscle area to detect low fat-free mass index (FFMI) (AUC = 0.82, 95% CI 0.77-0.87, p < 0.001). The identified SMI cutoff for diagnosing low FFMI was 32.75 cm2/m2 (Sn 77%, Sp 64.3%; AUC = 0.79, 95% CI 0.70-0.87, p < 0.001) in women, and 39.9 cm2/m2 (Sn 77%, Sp 72.7%; AUC = 0.85, 95% CI 0.80-0.90, p < 0.001) in men. Additionally, skeletal muscle area (SMA) showed good discriminative capacity for detecting low appendicular skeletal muscle mass (ASMM) (AUC = 0.71, 95% CI 0.65-0.76, p < 0.001). The identified SMA cutoff points for diagnosing low ASMM were 83.2 cm2 (Sn 76.7%, Sp 55.3%; AUC = 0.77, 95% CI 0.69-0.84, p < 0.001) in women and 112.6 cm2 (Sn 82.3%, Sp 58.6%; AUC = 0.79, 95% CI 0.74-0.85, p < 0.001) in men. (4) Conclusions: AI-assisted body composition assessment using CT is a valuable tool in the morphofunctional evaluation of patients with colorectal cancer prior to surgery. CT provides quantitative data on muscle mass for the application of the GLIM criteria for malnutrition and the EWGSOP2 criteria for sarcopenia, with specific cutoff points established for diagnostic use.

The relationship between nutritional status and white matter integrity in older adults: A diffusion tensor imaging study.

OBJECTIVES: The purpose of this study to determinate whether there is a relationship between the nutritional status and white matter integrity in older patients by using Diffusion Tensor Imaging (DTI). METHODS: The patients were evaluated by Mini-Nutritional Assessment Scale. The patients are categorized in the groups of well-nourished, risk of malnutrition, or malnourished, depending on the overall score> 23.5, 17-23.5, or 17; respectively. All patients had brain MRI and DTI. The mean diffusivity (MD), fractional anisotropy (FA), axial diffusivity (AD) and radial diffusivity (RD) values were calculated by ROI-based method in white matter tracts. RESULTS: Total of the 224 patients; 86 patients had normal nutrition status (group 1), 107 patients were diagnosed with malnutrition risk (group 2) and 31 patients were diagnosed with malnutrition (group 3). Significantly decreased FA values of genu of corpus callosum, forceps minor and significantly increased MD values of middle cerebellar peduncle, and superior frontooccipital fasciculus were detected in group 2 in comparison to group 1 (p < 0.05). After adjusting for the folate and age, MD and RD values of cingulum remained significantly higher and the AD values of superior cerebellar peduncle remained significantly lower in group 3 (p < 0.05). CONCLUSIONS: Malnutrition was associated with deteriorated DTI values, especially in cingulum and superior cerebellar peduncle. Assessing the nutritional status of older individuals is crucial to avoid its negative impact on brain. ADVANCES IN KNOWLEDGE: Early diagnosis of malnutrition-related impaired WM integrity is important for prevention and intervention, and DTI is a useful non-invasive technique to be used for this purpose.

Decreased abdominal wall muscle mass defined by muscle ultrasound is associated with malnutrition according to Global Leadership Initiative on Malnutrition criteria in renal transplant recipients: A cross-sectional study.

BACKGROUND: Changed body composition with increased fat content and decreased muscle mass is seen in renal transplantation recipients (RTRs). Increased fat mass might mask underlying muscle mass loss; measuring low body mass index and weight reduction alone may not be sensitive enough to diagnose malnutrition in RTRs. We aimed to determine the prevalence of malnutrition in stable RTRs using the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess the use of muscle ultrasonography (US) to compare the performance of various muscle US measurements in the diagnosis of reduced muscle mass. METHODS: Ninety-one patients who had renal transplantation >6 months ago were enrolled in the study. GLIM criteria were performed for all patients, but not those at risk of malnutrition. Bioelectrical impedance analysis and muscle US were performed to identify reduced muscle mass. RESULTS: The prevalence of malnutrition according to GLIM criteria was 25.3% (n = 23). All muscle US measurements were lower in the malnourished group than the well-nourished group; however, the malnourished group had substantially lower muscle thicknesses in abdominal muscles, specifically the external oblique (EO) and internal oblique (IO) muscles, than the well-nourished group (P = 0.001 and P = 0.007, respectively). There was a significant association between malnutrition and EO (odds ratio [OR] = 0.338, 95% CI = 0.163-0.699; P = 0.003) and IO (OR = 0.620, 95% CI = 0.427-0.900; P = 0.012) regardless of age and sex. CONCLUSION: One in four RTRs experience malnutrition. Muscle US could be used effectively for the diagnosis of reduced muscle mass and malnutrition in RTRs according to GLIM criteria.

Ultrasound assessment of malnutrition in infancy: a pilot case-control study.

This study aimed at determining the intra- and inter-rater reliability in ultrasound body composition measurements and investigating the differences between malnourished and non-malnourished infants. Sonographic images for measurements of fat and muscle thickness were compared between 9 malnourished and 9 non-malnourished hospitalized infants. The mean of fat and muscle thickness sums were 12.44 ± 7.58 mm and 28.98 ± 7.18 mm, respectively. The intra- and inter-rater intraclass correlation coefficient were above 0.9 for both measurements, indicating high intra- and inter-rater reliability. Compared to non-malnourished infants, malnourished infants have 45% of fat thickness sum and 71% of muscle thickness sum. Ultrasound measurements of body composition in infants were different between hospitalized malnourished and non-malnourished infants. This approach has the potential to be utilized more broadly, from assessing the nutritional status of critically ill infants in intensive care units to screening for malnutrition in high-risk infant populations.

Protocol for a prospective cohort study on the feasibility of application of nutritional ultrasound in the diagnosis and follow-up of patients with nutritional risk at hospital discharge: study on body composition and function (DRECO).

INTRODUCTION: Nutritional ultrasound (US) is an emerging technique in clinical nutrition for the morphological and structural study of muscle mass. Currently, all definitions of malnutrition include the measurement of muscle mass; however, there is no single way to assess it. It is necessary to develop new techniques to identify muscle involvement in malnutrition that are valid, standardised, reliable, accurate and profitable. OBJECTIVE: To value the new muscle US techniques aimed to measure muscle and functional status, to make a more accurate diagnosis and a better prediction of complications and morbidity and mortality in patients at nutritional risk. PRIMARY OUTCOME: to assess the feasibility of US or muscle US techniques in both nutritional diagnosis and follow-up in a nutritional intervention programme. METHODS AND ANALYSIS: Disease-Related caloric-protein malnutrition EChOgraphy (DRECO) is a prospective, multicentre (25 Spanish hospitals), uncontrolled clinical study in standard clinical practice to value the usefulness of nutritional US (muscle US) in the nutritional diagnosis and follow-up, over 3-6 months, after standard nutritional clinical practice intervention and physical activity, to control their disease-related malnutrition. 1000 patients are expected to be included in. DISCUSSION: This study will standardise nutritional US measures. It will validate and define specific cut-off values for nutritional US and correlate it with already well-known nutritional tools such as Subjective Global Assessment or Global Leadership Initiative on Malnutrition criteria. Thus, muscle US will become not only a tool to diagnose malnutrition, but it will also be integrated in the daily practice to evaluate nutritional interventions. ETHICS AND DISSEMINATION: All DRECO study materials have been approved by each of the IRB/IEC of all the sites enrolled (either approval of the own IRB/IEC or validating the approval of the IRB/IEC of another hospital). The study has been registered with ClinicalTrials.gov, on 27 June 2022. The results from this study will be presented at scientific conferences and in peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER: NCT05433831.

Point-of-care ultrasound for tuberculosis diagnosis in children: a Médecins Sans Frontières cross-sectional study in Guinea-Bissau.

OBJECTIVE: Description of tuberculosis (TB)-focused point-of-care ultrasound (POCUS) findings for children with presumptive TB. DESIGN: Cross-sectional study (July 2019 to April 2020). SETTING: Simão Mendes hospital in Bissau, a setting with high TB, HIV, and malnutrition burdens. PARTICIPANTS: Patients aged between 6 months and 15 years with presumptive TB. INTERVENTIONS: Participants underwent clinical, laboratory and unblinded clinician-performed POCUS assessments, to assess subpleural nodules (SUNs), lung consolidation, pleural and pericardial effusion, abdominal lymphadenopathy, focal splenic and hepatic lesions and ascites. Presence of any sign prompted a POCUS positive result. Ultrasound images and clips were evaluated by expert reviewers and, in case of discordance, by a second reviewer. Children were categorised as confirmed TB (microbiological diagnosis), unconfirmed TB (clinical diagnosis) or unlikely TB. Ultrasound findings were analysed per TB category and risk factor: HIV co-infection, malnutrition and age. RESULTS: A total of 139 children were enrolled, with 62 (45%) women and 55 (40%) aged <5 years; 83 (60%) and 59 (42%) were severely malnourished (SAM) and HIV-infected, respectively. TB confirmation occurred in 27 (19%); 62 (45%) had unconfirmed TB and 50 (36%) had unlikely TB. Children with TB were more likely to have POCUS-positive results (93%) compared with children with unlikely TB (34%). Common POCUS signs in patients with TB were: lung consolidation (57%), SUNs (55%) and pleural effusion (30%), and focal splenic lesions (28%). In children with confirmed TB, POCUS sensitivity was 85% (95% CI) (67.5% to 94.1%). In those with unlikely TB, specificity was 66% (95% CI 52.2% to 77.6%). Unlike HIV infection and age, SAM was associated with a higher POCUS-positivity. Cohen's kappa coefficient for concordance between field and expert reviewers ranged from 0.6 to 0.9. CONCLUSIONS: We found a high prevalence of POCUS signs in children with TB compared with children with unlikely TB. POCUS-positivity was dependent on nutritional status but not on HIV status or age. TB-focused POCUS could potentially play a supportive role in the diagnosis of TB in children. TRIAL REGISTRATION NUMBER: NCT05364593.

Diaphragm thickness by ultrasound in pediatric patients with primary malnutrition.

Skeletal muscle atrophy is known to be a marker for nutritional deficiency. The diaphragm is both a skeletal muscle and a respiratory muscle. There is not enough data in the literature about the change in diaphragm thickness (DT) in children with malnutrition. We think that malnutrition may have negative effects on diaphragm thickness. Therefore, in this study, we aimed to compare the diaphragm thicknesses of pediatric patients with primary malnutrition and a healthy control group. The DT of pediatric patients diagnosed with primary malnutrition by a pediatric gastroenterologist was prospectively evaluated by a radiology specialist by ultrasonography (USG). The obtained data were statistically compared with the data of the healthy control group. There was no statistically significant difference between the groups in terms of age and gender (p = 0.244, p = 0.494). We found that right and left diaphragm thicknesses were significantly thinner in the malnourished group than in the healthy control group (p = 0.001, p = 0.009, respectively). We found that right and left diaphragm thicknesses were thinner in those with moderate and severe malnutrition compared to the normal group (p < 0.001, p = 0.003, respectively). We found a significant weak positive correlation between weight and height Z score and right and left diaphragm thickness (respectively, r: 0.297, p < 0.001; r: 0.301, p < 0.001).   Conclusion: Malnutrition is a disease that affects all systems. Our study shows that the DT is thinner in patients with malnutrition. What is Known: •Malnutrition causes skeletal muscle atrophy. What is New: •Diaphragm muscle thickness decreases in malnutrition. •There is a significant positive correlation between diaphragm muscle thickness and height, weight and BMI z scores.

The predictive value of temporal muscle thickness measured by ultrasonography for detecting moderate to severe malnutrition in chronic hemodialysis patients.

INTRODUCTION AND AIM: To determine the predictive value of temporal muscle thickness (TMT) measured by ultrasonography in the diagnosing of moderate to severe malnutrition in chronic hemodialysis (CHD) patients. MATERIALS AND METHODS: Adult patients (> 18 years) who had been on CHD for at least 3 months were included in this cross-sectional study. Patients with infection or inflammatory disease, malignancy, malabsorption syndrome, history of surgery within the last 3 months excluded. Demographic, anthropometric, laboratory parameters, and Malnutrition Inflammation Score (MIS) test results recorded. RESULTS: A total of 60 chronic hemodialysis (CHD) patients (median age: 66 years, 46.7% female) and 30 healthy individuals (median age: 59.5 years, 55% female) were examined. While there were no significant difference between the dry weight (70 vs 71 kg) and body mass index (BMI) (25.8 vs 26 kg/m2) of the CHD patients and healthy control group, we found that triceps skinfold thickness (TST) (16 vs 19 mm) and left and right TMT (9.6 vs 10.7 and 9.8 vs 10.9 mm) values were significantly lower in the CHD patients (p < 0.001). CHD patients were divided into two groups according to their MIS values as mild (MIS < 6) and moderate/severe malnutrition (MIS ≥ 6). Patients with moderate/severe malnutrition were older, predominantly female and with longer HD vintage. Left (8.8 vs 11 mm) and right TMT (9.1 vs 11.2 mm) values were lower in moderate/severe malnutrition group. In the correlation analysis, a negative correlation was found between TMT and age and MIS, and a positive correlation determined with dry weight, BMI, TST and serum uric acid. In the ROC curve analysis, we found that the optimal cut-off value of left and right TMT for predicting moderate/severe malnutrition were 10.05 and 10.45 mm, respectively. Multivariate regression analysis showed that HD vintage, URR, and TMT values were independently associated with moderate/severe malnutrition. CONCLUSION: TMT value measured by ultrasonography in CHD patients can be used as a reliable, easily accessible and non-invasive diagnostic method for predicting moderate/severe malnutrition.

[Ultrasound in the assessment of muscle mass. The GLIM (Global Leadership Initiative on Malnutrition) criteria called into question (I)]. / Ecografía en la valoración de la masa muscular. Criterios GLIM (Global Leadership Initiative on Malnutrition) a cuestión (I).

Introduction: Ultrasound in the assessment of muscle mass. The GLIM (Global Leadership Initiative on Malnutrition) criteria called into question (I).

Introducción: Ecografía en la valoración de la masa muscular. Criterios GLIM (Global Leadership Initiative on Malnutrition) a cuestión (I).

[Ultrasound in the assessment of muscle mass. The GLIM (Global Leadership Initiative on Malnutrition) criteria called into question (II)]. / Ecografía en la valoración de la masa muscular. Criterios GLIM (Global Leadership Initiative on Malnutrition) a cuestión (II).

Introduction: Ultrasound in the assessment of muscle mass. The GLIM (Global Leadership Initiative on Malnutrition) criteria called into question (II).

Introducción: Ecografía en la valoración de la masa muscular. Criterios GLIM (Global Leadership Initiative on Malnutrition) a cuestión (II).

Muscle Thickness and Echogenicity Measured by Ultrasound Could Detect Local Sarcopenia and Malnutrition in Older Patients Hospitalized for Hip Fracture.

BACKGROUND: The aim of this work was to assess whether the muscle thickness and echogenicity were associated with dysphagia, malnutrition, sarcopenia, and functional capacity in acute hospital admission for a hip fracture. METHODS: Observational study that assessed nutritional status by Global Leadership Initiative on Malnutrition, risk of dysphagia and sarcopenia by European Working Group on Sarcopenia in Older People and Barthel functional index. We measured muscle thickness and echogenicity of masseter, bicipital, and quadriceps rectus femoris (RF) and vastus intermedius (VI) by ultrasound. RESULTS: One hundred and one patients were included in the study (29.7% sarcopenia and 43.8% malnutrition). Logistic regression models adjusted for age, sex, and body mass index showed an inverse association of the masseter thickness with both sarcopenia (OR: 0.56) and malnutrition (OR: 0.38) and quadriceps with sarcopenia (OR: 0.74). In addition, patients at high risk of dysphagia had lower masseter thickness (p: 0.0001) while patients able to self-feeding had thicker biceps (p: 0.002) and individuals with mobility on level surfaces higher thickness of biceps (p: 0.008) and quadriceps (p: 0.04). CONCLUSION: Thickness of the masseter was associated with risk of dysphagia, biceps with the ability to self-feed, and that of the quadriceps RF-VI with mobility.

Neurodevelopmental effects of childhood malnutrition: A neuroimaging perspective.

Approximately one in five children worldwide suffers from childhood malnutrition and its complications, including increased susceptibility to inflammation and infectious diseases. Due to improved early interventions, most of these children now survive early malnutrition, even in low-resource settings (LRS). However, many continue to exhibit neurodevelopmental deficits, including low IQ, poor school performance, and behavioral problems over their lifetimes. Most studies have relied on neuropsychological tests, school performance, and mental health and behavioral measures. Few studies, in contrast, have assessed brain structure and function, and to date, these have mainly relied on low-cost techniques, including electroencephalography (EEG) and evoked potentials (ERP). The use of more advanced methods of neuroimaging, including magnetic resonance imaging (MRI) and functional near-infrared spectroscopy (fNIRS), has been limited by cost factors and lack of availability of these technologies in developing countries, where malnutrition is nearly ubiquitous. This report summarizes the current state of knowledge and evidence gaps regarding childhood malnutrition and the study of its impact on neurodevelopment. It may help to inform the development of new strategies to improve the identification, classification, and treatment of neurodevelopmental disabilities in underserved populations at the highest risk for childhood malnutrition.

Obesity and Monitoring Iodine Nutritional Status in Schoolchildren: is Body Mass Index a Factor to Consider?

Background: The frequency of overweight (OW) and obese (OB) children has increased worldwide, particularly in economically developed countries. No studies have been conducted to verify whether the increasing frequency of OW and obesity in schoolchildren may affect the evaluation of iodine nutritional status in populations. The aim of this study was to verify whether urinary iodine concentration (UIC), thyroid volume (TV), and thyroid hypoechoic pattern may be affected by body mass index (BMI) in schoolchildren. Methods: The children included in this study (aged 11-13 years) were a part of the schoolchildren recruited in the second nationwide survey (period 2015-2019) conducted in Italy to monitor by law (Atto di Intesa Stato-Regioni February 26, 2009) the nationwide iodine prophylaxis program. Specifically, 1281 schoolchildren residing in iodine-sufficient areas (IS group) and 384 children residing in a still mildly iodine-deficient area (ID group) were recruited between January and March 2015 in the first-degree secondary state schools. In all the children, spot UIC was measured, thyroid ultrasound was performed to evaluate TV, and hypoechogenicity was assessed to indirectly evaluate iodine-associated thyroid autoimmunity. Results: The frequency of OW, OB, and adequate weight (AW) children was similar in the IS and ID groups at any age. After adjusting for sex and age, the regression analysis showed lower UIC values in OB children than in AW children of the IS group (beta coefficient = -34.09 [95% confidence interval -65.3 to -2.8]), whereas no significant differences were observed in the ID group. In both the IS and ID groups, the distribution of TV in AW children was significantly shifted toward lower values in comparison to the distribution of OB children (p < 0.001 in the IS group; p = 0.012 in the ID group). Furthermore, the frequency of thyroid hypoechogenicity was higher in the ID group than in the IS group (10.9% vs. 6.6%, p = 0.005); however, in both groups, it was significantly lower in AW children than in OB children (p < 0.01). Conclusions: This study for the first time demonstrates that BMI may be a confounding factor in monitoring iodine nutritional status in schoolchildren. Since in Italy as in other Western countries the number of OW and OB children is high, BMI is a factor to consider in monitoring salt iodization programs worldwide.

Computed-Tomography Body Composition Analysis Complements Pre-Operative Nutrition Screening in Colorectal Cancer Patients on an Enhanced Recovery after Surgery Pathway.

Pre-operative nutrition screening is recommended to identify cancer patients at risk of malnutrition, which is associated with poor outcomes. Low muscle mass (sarcopenia) and lipid infiltration to muscle cells (myosteatosis) are similarly associated with poor outcomes but are not routinely screened for. We investigated the prevalence of sarcopenia and myosteatosis across the nutrition screening triage categories of the Patient-Generated Subjective Global Assessment Short Form (PG-SGASF) in a pre-operative colorectal cancer (CRC) cohort. Data were prospectively collected from patients scheduled for surgery at two sites in Edmonton, Canada. PG-SGASF scores ≥ 4 identified patients at risk for malnutrition; sarcopenia and myosteatosis were identified using computed-tomography (CT) analysis. Patients (n = 176) with a mean age of 63.8 ± 12.0 years, 52.3% male, 90.3% with stage I-III disease were included. Overall, 25.2% had PG-SGASF score ≥ 4. Sarcopenia alone, myosteatosis alone or both were identified in 14.0%, 27.3%, and 6.4% of patients, respectively. Sarcopenia and/or myosteatosis were identified in 43.4% of those with PG-SGASF score < 4 and in 58.5% of those with score ≥ 4. Overall, 32.9% of the cohort had sarcopenia and/or myosteatosis with PG-SGASF score < 4. CT-defined sarcopenia and myosteatosis are prevalent in pre-operative CRC patients, regardless of the presence of traditional nutrition risk factors (weight loss, problems eating); therefore, CT image analysis effectively adds value to nutrition screening by identifying patients with other risk factors for poor outcomes.

Prognostic value of the third lumbar skeletal muscle mass index in patients with liver cirrhosis and ascites.

BACKGROUND & AIMS: The objective nutritional assessment indicators, body mass index (BMI), upper arm muscle circumference (MAMC), and triceps skinfold thickness (TSF), are often limited due to ascites. This study investigated the prognostic value of the third lumbar vertebrae skeletal muscle mass index (L3 SMI) in addition to the objective nutritional evaluation indicators (BMI, MAMC and TSF) in patients with liver cirrhosis and ascites. METHODS: In this retrospective analysis, a total of 147 patients with liver cirrhosis and ascites were included. The L3 SMI, BMI, MAMC and TSF were detected in all patients. The severity of liver disease was assessed by the Model End-Stage Liver Disease (MELD) score and Child-Turcotte-Pugh (CTP) classification. These variables were compared between non-surviving and surviving patients who were classified according to 5-year mortality. RESULTS: Of the 147 patients, 62 (42.2%) died and 85 (57.8%) survived within 5 years. The L3 SMI of patients was significantly lower than that of the normal control group (39.58 ± 7.18 cm2/m2 vs. 53.73 ± 7.92 cm2/m,2p < 0.001). The L3 SMI (OR 4.02; 95% CI 2.17-9.63; p < 0.001), MELD score (OR 2.11; 95% CI 1.12-4.13; p < 0.001) and CTP class (OR 2.69; 95% CI 1.09-5.06; p < 0.001) were independent predictive indicators of 5-year mortality. Furthermore, the performance of the two variables (L3 SMI and MELD) together (AUROC: 0.812) was significantly better than that of MELD alone (AUROC: 0.787) for prediction of 5-year mortality (p < 0.001). CONCLUSION: Compared with MAMC, TSF and BMI, L3 SMI is an independent risk factor for 5-year mortality in patients with liver cirrhosis and ascites. Further nutritional intervention studies are needed to confirm the impact of the L3 SMI index on clinical outcomes.

Low serum leptin levels are associated with malnutrition status according to malnutrition-inflammation score in patients undergoing chronic hemodialysis.

INTRODUCTION: Leptin is an adipokine secreted from adipocytes that mediate lipid metabolism and inflammation. This cross-sectional study investigated the relationship between serum leptin level and nutrition status evaluated by malnutrition-inflammation score (MIS) among patients undergoing hemodialysis (HD). METHODS: This study included 100 patients on HD. Nutritional status was based on MIS (malnutrition ≥7 points). Body composition, biochemistry data, and serum leptin level were evaluated. FINDINGS: Of 100 subjects, 33 (33.0%) were categorized as having malnutrition. Compared with subjects in the well-nourished group, those in the malnutrition group had on average an older age, longer HD duration, and lower height, weight, body mass index, waist circumference, body fat mass, serum triglyceride level, and creatinine level. Serum leptin levels were also significantly lower in the malnutrition group (P < 0.001), whereas C-reactive protein (CRP) levels were higher (P = 0.002). Multivariable linear regression analysis revealed that HD duration (ß = 2.06, P = 0.009), serum leptin level (ß = -5.16, P < 0.001), CRP level (ß = 3.33, P < 0.001), and albumin level (ß = -1.95, P = 0.008) were factors independently associated with MIS. The discriminative power of serum leptin level to predict malnutrition was 0.834 (95% confidence interval: 0.747-0.901, P < 0.001). DISCUSSION: Low serum leptin level was associated with malnutrition, and serum leptin level may be a valuable marker for nutrition assessment in patients undergoing HD.

Early high protein intake and mortality in critically ill ICU patients with low skeletal muscle area and -density.

BACKGROUND & AIMS: Optimal nutritional support during the acute phase of critical illness remains controversial. We hypothesized that patients with low skeletal muscle area and -density may specifically benefit from early high protein intake. Aim of the present study was to determine the association between early protein intake (day 2-4) and mortality in critically ill intensive care unit (ICU) patients with normal skeletal muscle area, low skeletal muscle area, or combined low skeletal muscle area and -density. METHODS: Retrospective database study in mechanically ventilated, adult critically ill patients with an abdominal CT-scan suitable for skeletal muscle assessment around ICU admission, admitted from January 2004 to January 2016 (n = 739). Patients received protocolized nutrition with protein target 1.2-1.5 g/kg/day. Skeletal muscle area and -density were assessed on abdominal CT-scans at the 3rd lumbar vertebra level using previously defined cut-offs. RESULTS: Of 739 included patients (mean age 58 years, 483 male (65%), APACHE II score 23), 294 (40%) were admitted with normal skeletal muscle area and 445 (60%) with low skeletal muscle area. Two hundred (45% of the low skeletal muscle area group) had combined low skeletal muscle area and -density. In the normal skeletal muscle area group, no significant associations were found. In the low skeletal muscle area group, higher early protein intake was associated with lower 60-day mortality (adjusted hazard ratio (HR) per 0.1 g/kg/day 0.82, 95%CI 0.73-0.94) and lower 6-month mortality (HR 0.88, 95%CI 0.79-0.98). Similar associations were found in the combined low skeletal muscle area and -density subgroup (HR 0.76, 95%CI 0.64-0.90 for 60-day mortality and HR 0.80, 95%CI 0.68-0.93 for 6-month mortality). CONCLUSIONS: Early high protein intake is associated with lower mortality in critically ill patients with low skeletal muscle area and -density, but not in patients with normal skeletal muscle area on admission. These findings may be a further step to personalized nutrition, although randomized studies are needed to assess causality.

Muscle mass, assessed at diagnosis by L3-CT scan as a prognostic marker of clinical outcomes in patients with gastric cancer: A systematic review and meta-analysis.

BACKGROUND & AIMS: Computed tomographic (CT) imaging at third lumbar vertebra (L3), routinely used by oncologists, represents a reliable tool to quantify muscle mass. A systematic review and meta-analysis was performed to assess the efficacy of CT scan to define muscle mass as a prognostic marker in gastric cancer (GC) patients undergoing gastrectomy and/or chemotherapy. The primary outcomes were overall survival (OS) and recurrence-free survival (RFS) and the secondary outcomes included postoperative length of hospital stay (P-LOS), total and severe complications in GC patients undergoing gastrectomy. METHODS: Three electronic bibliographic databases - MEDLINE, Web of Science and Cochrane Central Register of Controlled Trials - were used to conduct a systematic literature search based on fixed inclusion and exclusion criteria, until April 2019. The adjusted and unadjusted hazard ratio (HR), odds ratio (OR) and mean difference (MD) with 95% confidence interval (CI) were used to analyse the dichotomous variables (OS, RFS, total and severe complications) and continuous variables (P-LOS). Random- and fixed effects models were used according to the heterogeneity. RESULTS: A total of 5610 GC patients from 20 studies were identified. Low muscle mass at diagnosis was found in 32.7% of GC patients and was significantly associated with poorer OS (HR 2.02, 95% CI 1.71-2.38, p < 0.00001, I2 = 47%) and worse RFS (HR 1.97, 95% CI 1.71-2.26, p < 0.00001, I2 = 0%). Meta-analysis of adjusted HR from multivariable analyses confirmed the association between OS and low muscle mass (HR 1.89, 95% CI 1.68-2.12, p < 0.00001, I2 = 36%). Furthermore, low muscle mass and poorer OS were significantly associated in metastatic GC patients exclusively undergoing chemotherapy (HR 1.61, 95% CI 1.23-2.11, p < 0.0006, I2 = 18%). Moreover, preoperative low muscle mass was significantly associated with longer P-LOS (MD 1.19, 95% CI 0.68-1.71, p < 0.00001, I2 = 0%), higher risk of postoperative complications (OR 1.76, 95% CI 1.17-2.66, p = 0.007, I2 = 77%) and severe complications (OR 1.54, 95% CI 1.03-2.29, p = 0.04, I2 = 49%) in GC patients undergoing gastrectomy. CONCLUSIONS: Low muscle mass, assessed by L3 CT-scan, affects almost 1/3 of GC patients at diagnosis and acts as a negative prognostic marker on many clinical outcomes. Therefore, identifying GC patients with low muscle mass at diagnosis or at follow-up visit should be recommendable. Clinical nutritionists should be part of tumor boards meetings to screen low muscle mass in order to prompt personalized nutritional support.

The relation between Malnutrition Universal Screening Tool (MUST), computed tomography-derived body composition, systemic inflammation, and clinical outcomes in patients undergoing surgery for colorectal cancer.

BACKGROUND: Nutritional status is an important factor affecting a patient's clinical outcomes. Early identification of patients who are at risk of malnutrition is important to improve clinical outcomes and reduce health cost. The Malnutrition Universal Screening Tool (MUST) has been recommended as part of the routine nursing assessment for all patients at hospital admission. OBJECTIVE: The aim of this study was to examine the association between nutritional status (MUST), systemic inflammatory response (SIR), body composition, and clinical outcomes in patients undergoing surgery for colorectal cancer. METHODS: The malnutrition risk was examined using MUST in patients admitted for surgery for colorectal cancer between March 2013 and June 2016. Preoperative computed tomography scans were used to define the body composition. The presence of SIR was evidenced by the modified Glasgow prognostic score and the neutrophil to lymphocyte ratio. Postoperative complications, severity of complication, length of hospital stay, and mortality were considered as outcome measures. RESULTS: The study included 363 patients (199 males, 164 females); 21% of the patients presented with a medium or high nutritional risk. There were significant associations between MUST and subcutaneous adiposity (P < 0.001), visceral obesity (P < 0.001), and low skeletal muscle index (P < 0.001). No statistically significant association was identified between MUST score and presence of any complication or severity of complication. On multivariate analysis, MUST remained independently associated with the length of hospital stay (OR: 2.17; 95% CI: 1.45, 3.26; P < 0.001). Kaplan-Meier survival curves showed an increased number of deaths for patients at medium or high risk of malnutrition (P < 0.001). This association was found to be independent of other confounding factors (HR: 1.45; 95% CI: 1.06, 1.99; P = 0.020). CONCLUSIONS: MUST score is an independent marker of risk in those undergoing surgery for colorectal cancer and should remain a key part of preoperative assessment.