Bioelectrical impedance analysis (BIA) is widely used as a convenient method of measuring body composition. The validity of the phase angle (PhA), impedance rate (IR), and resistance rate (RR) as indices of muscle quality using BIA has been suggested. This study aimed to investigate the relationship between these muscle quality indices and age, and to clarify their characteristics.

The appendicular muscle mass (AMM), AMM corrected for body mass index (AMM/BMI), PhA, IR, and RR were determined using BIA in 1376 Japanese individuals (532 males and 844 females) aged 15-95 years. The PhA was determined from a 50-kHz current, and the IR and RR were determined from the impedance and resistance ratios between the 250- and 5-kHz currents.

AMM/BMI showed greater age-related changes than the other indices of muscle mass. Significant differences in PhA, IR, and RR were found for the whole body at age ≥ 50 years and for the lower limbs at age ≥ 30 years, compared to those in their 20 s. For the arms, age-related changes were small, and significant differences in PhA of females were only observed at aged ≥ 85 years, whereas significant differences in IR and RR were observed at aged ≥ 75 years, compared to those in their 20s.

These results suggest that although PhA, IR, and RR in the whole body and lower limbs showed age-related changes, the change in PhA in the upper body was small, especially in females. However, IR and RR in the upper limbs of females reflected age-related changes more than PhA.

Malnutrition in stroke is associated with poor clinical outcomes. Bioelectrical impedance analysis-derived phase angle (PhA) is widely used for assessing nutritional status as an index of muscle quality. This study aimed to evaluate the associations between whole body and limb PhAs and nutritional risk in stroke patients. PhA predictors were also identified.

Consecutive subacute stroke patients aged ≥50 y at the beginning of rehabilitation participated in this retrospective analysis. Nutritional risk was assessed using the Geriatric Nutritional Risk Index, the Prognostic Nutritional Index, and the Controlling Nutritional Status score. PhAs at 50 kHz for both whole body and limbs were measured. The associations between PhA and nutritional risk were examined through univariate/multivariate analyses.

Overall, 272 subacute stroke patients were studied (age, 70.1 ± 12.4 y, body mass index, 26.8 ± 3.9 kg/m²). Both whole body and limb PhAs were associated with Geriatric Nutritional Risk Index, Prognostic Nutritional Index, and Controlling Nutritional Status score, and this was also true in patients aged ≥75 y (P < 0.001). Low PhA values were observed in patients at high nutritional risk. The general linear model identified age, female sex, hypertension, diabetes, dysphagia, and time from stroke onset as independent predictors of PhA (R² = 0.468, P < 0.001). Furthermore, PhA emerged as a significant predictor of high nutritional risk according to each screening tool. Finally, optimal cutoffs of whole body PhA for predicting high nutritional risk were around 4.08°.

In stroke patients, low PhA values were associated with high nutritional risk. PhA at the beginning of rehabilitation may serve as a reliable parameter to be considered in the evaluation of nutritional status.

Phase angle (PhA) has been reported to be associated with quadriceps strength in patients who have knee osteoarthritis and were scheduled for total knee arthroplasty (TKA). The PhA can also be expected to predict the time course of quadriceps muscle strength loss and recovery. We aimed to investigate the relationship between the preoperative PhA and the time course of quadriceps muscle strength change in patients undergoing TKA.

A prospective cohort study was conducted on patients scheduled for primary unilateral TKA. A total of 855 patents were included in the analysis. The PhA and quadriceps muscle strength of the operated knee were measured preoperatively and at 3, 6, and 12 months postoperatively. To analyze the effect of the preoperative PhA on the change in postoperative quadriceps muscle strength, a linear mixed model with the quadriceps muscle strength as a dependent variable with the preoperative PhA, evaluation period (dummy variable), and their product terms as independent variables was conducted after adjusting for preoperative covariates.

A statistically significant negative effect was present for a higher PhA, resulting in a greater decrease in quadriceps muscle strength between preoperative and 3 months postoperative (P = 0.012). In contrast, the effect was not statistically significant between 3 and 6 months postoperatively (P = 0.17). However, a statistically significant positive effect for a higher PhA resulting in a greater increase in quadriceps muscle strength was present between 6 and 12 months postoperatively (P = 0.027).

Preoperative PhA is a useful predictor of the quadriceps muscle strength change after TKA. These findings suggest that evaluating the preoperative PhA could aid in the development of targeted rehabilitation programs aimed at optimizing quadriceps muscle function in patients undergoing TKA.

Muscle wasting is a prevalent issue among long-term critically ill patients and is associated with adverse clinical outcomes. Evaluating muscle mass in the ICU presents challenges due to the lack of a consistent methodology and the significant impact of fluid balance range in ICU patients. This prospective study aimed to compare the utility of bioelectrical impedance analysis (BIA) and ultrasound (US) for monitoring muscle wasting in critically ill patients over an initial seven-day period of critical illness.

Conducted in a tertiary teaching hospital's mixed ICU, the study included adult patients with ICU stays exceeding seven days. Measurements were taken on Day 1 (within 24 hours of ICU admission), Day 5, and Day 7.

Out of 101 enrolled patients, 74 were male, with a mean age of 55.3 (SD 14.8) years. The mean APACHE II score was 18.2 (SD 7.2), and the Day 1 SOFA score was 7.9 (SD 3.2). The ICU survival rate was 65%, and the mean ICU length of stay was 19.2 (SD 19.2) days. Statistically significant muscle mass loss was detected by US measurement, demonstrating the relative change in general muscle thickness: -2.5% (SD 11.8) by Day 5 and -6.5% (SD 12.4) by Day 7 (P < 0.001). BIA demonstrated no significant change in phase angle, as the relative change by Day 5 was -3.3% (SD 19.9) and by Day 7 it was -1.9% (SD 21.9), with no significant difference (P = 0.374).

Ultrasound was a more suitable method for assessing and monitoring muscle wasting during ICU stays, while bioelectrical impedance analysis failed to demonstrate a comparable degree of muscle loss at Days 5 and 7. This study highlights the importance of selecting an appropriate assessment method based on the specific clinical context, emphasizing the reliability of US in evaluating muscle wasting among critically ill patients.

Phase angle (PhA) is viewed as a holistic indicator of quantity and quality of cellularity and hydration status and has emerged as a significant predictor of patient outcome in clinical medicine. We sought to analyze the impact of hospitalization as a surrogate for disease on the distribution of PhA and its dependency on influence variables age, sex, height and weight without any assumption as to the form of PhA-distribution.

First PhA measurements obtained from 2418 women (median age 75 IQR[63; 82]) and 2541 men (median age 70 IQR[60; 79]) hospitalized in a Community General Hospital were analyzed. Multivariable quantile regression was applied for estimating percentiles P1 - P95 using parsimonious models including a dichotomous factor for sex and cubic polynomials for age (model A) and height and weight (model B) using only linear interaction terms between the four variables sex, age, height, and weight.

The association of PhA was strongest with age (women r = -0.48; men r = -0.47). In each age class average PhA values of hospitalized patients were below those reported for healthy individuals. In contrast to percentiles above the median showing a monotonous decrease with age as reported from healthy individuals the lower percentiles of patients showed a marked dip-and-plateau deformation. This deformation was associated with a change in the distribution span of PhA between P1 and P95 which was narrower at young age, expanded markedly due to a persisting fraction of patients with low PhA over the age range from 50 to 80 years and became narrower again at higher age due to the decreasing fraction of patients with high PhA. These distribution patterns were the same, irrespective of using either model A or model B. Furthermore, bootstrapping confirmed the estimated form of the percentile curves.

Disease modifies the PhA distribution pattern resulting not only in lower PhA in patients than in healthy individuals but also in a dip-and-plateau deformation of lower PhA percentile curves for the association with age. The dip-and-plateau pattern and the narrowing of the span between P1 and P95 with older age suggest that there is a low threshold value for PhA, below which life is impossible.

DRKS00025307, https://www.drks.de/DRKS00025307.

Phase angle (PhA) is an indicator of nutritional status. The association between PhA and all-cause mortality has been confirmed in older adults, but no relevant studies have been conducted in adults aged 18-49 years. This study aimed to investigate the relationship between PhA and all-cause mortality in adults aged 18-49 years. Our study included 6338 adults aged 18-49 from the National Health and Nutrition Examination Survey (1999-2004). Kaplan-Meier (KM) curve, multiple Cox regression and stratified analyses were performed. These adults were divided into two groups based on the median PhA value (the low PhA group: PhA < 6.96°; the high PhA group: PhA ≥ 6.96°). During a median follow-up of 214 months, 307 all-cause deaths were recorded. The all-cause mortality rate was 5.07% in the low PhA group and 3.98% in the high PhA group. After full adjustment, a higher PhA value was significantly associated with reduced risk of all-cause mortality (HR = 0.73,95CI%:0.59-0.91, P = 0.005). Similarly, compared with those in the low PhA group, individuals in the high PhA group had a lower risk of all-cause mortality (HR = 0.67, 95% CI 0.46-0.98, P = 0.041). There was an interaction between smoking status and PhA (P for interaction = 0.029), with a statistically significant negative association between PhA and all-cause mortality in the non-smokers (HR:0.62, 95%CI:0.53-0.88, P = 0.003). In conclusion, there was a significant negative association between PhA and all-cause mortality in adults aged 18-49 years. The negative association was stronger in non-smokers.

Poor muscle quality (MQ) is a hidden health condition in obesity, commonly disregarded and underdiagnosed, associated with poor health-related outcomes. This narrative review provides an in-depth exploration of MQ in obesity, including definitions, available assessment methods and challenges, pathophysiology, association with health outcomes, and potential interventions. MQ is a broad term that can include imaging, histological, functional, or metabolic assessments, evaluating beyond muscle quantity. MQ assessment is highly heterogeneous and requires further standardization. Common definitions of MQ include 1) muscle-specific strength (or functional MQ), the ratio between muscle strength and muscle quantity, and 2) muscle composition (or morphological MQ), mainly evaluating muscle fat infiltration. An individual with obesity might still have normal or higher muscle quantity despite having poor MQ, and techniques for direct measurements are needed. However, the use of body composition and physical function assessments is still limited in clinical practice. Thus, more accessible techniques for assessing strength, muscle mass, and composition should be further explored. Obesity leads to adipocyte dysfunction, generating a low-grade chronic inflammatory state, which leads to mitochondrial dysfunction. Adipocyte and mitochondrial dysfunction result in metabolic dysfunction manifesting clinically as insulin resistance, dyslipidemia, and fat infiltration into organs such as muscle, which in excess is termed myosteatosis. Myosteatosis decreases muscle cell function and insulin sensitivity, creating a vicious cycle of inflammation and metabolic derangements. Myosteatosis increases the risk of poor muscle function, systemic metabolic complications, and mortality, presenting prognostic potential. Interventions shown to improve MQ include nutrition, physical activity/exercise, pharmacology, and metabolic and bariatric surgery.

Assessing muscle mass in critically ill patients remains challenging. This retrospective cohort study explores the potential of phase angle (PA°) derived from bioelectrical impedance analysis (BIA) as a surrogate marker for muscle mass monitoring by associating it with daily creatinine excretion (DCE), a structural and metabolic muscle mass marker. In 20 ICU patients, we observed a linear relationship between PA° and DCE at initial (S1) and follow-up (S2) points, with Rho values of 0.78 and 0.65, respectively, as well as between their percentage changes (Rho = 0.80). Multivariate analysis confirmed a strong association between changes in PA° and DCE (adjusted R2 of 0.73), while changes in the extracellular water to total body water (ECW/TBW) ratio showed no significant association. This study establishes a relationship between a BIA-derived independent-weight parameter and DCE, highlighting the potential of PA° for muscle mass monitoring during acute changes, such as those seen in ICU settings. Integrating PA° into clinical practice could provide a non-invasive and reliable tool to enhance muscle assessment and support targeted interventions in critically ill patients.

Obesity, which is characterized by excessive body fat, increases the risk of chronic diseases, such as type 2 diabetes, cardiovascular diseases, and certain cancers. Sarcopenia, a decline in muscle mass, is also associated with many chronic disorders and is therefore a major concern in aging populations. Body composition analysis is important in the evaluation of obesity and sarcopenia because it provides information about the distribution of body fat and muscle mass. It is also useful for monitoring nutritional status, disease severity, and the effectiveness of interventions, such as exercise, diet, and drugs, and thus helps assess overall health and longevity. Computed tomography, magnetic resonance imaging, and dual-energy X-ray absorptiometry are commonly used for this purpose. However, they have limitations, such as high cost, long measurement time, and radiation exposure. Instead, bioelectrical impedance analysis (BIA), which was introduced several decades ago and has undergone significant technological advancements, can be used. It is easily accessible, affordable, and importantly, poses no radiation risk, making it suitable for use in hospitals, fitness centers, and even at home. Herein, we review the recent technological developments and clinical applications of BIA to provide an updated understanding of BIA technology and its strengths and limitations.

Identification of patients with head-and-neck malignancies who are especially vulnerable to malnutrition is critical for optimizing outcomes. The objectives are; to correlate Bioelectrical-impendence-analysis (BIA) parameters with Subjective-Global-Assessment (SGA) scores, and determine the association of BIA parameters with common perioperative complications in patients undergoing head-and-neck surgery.

Patients underwent formal SGA scoring and BIA preoperatively in a multidisciplinary allied health clinic.

This is a cohort study of 61 patients with head-and-neck malignancies who were admitted for elective surgery from 2018 to 2019 in a tertiary hospital in Singapore.

BIA was performed using the Bodystat Quadscan 4000. Kruskal-Wallis rank sum tests and were performed for associations between SGA and BIA parameters. Wilcoxon rank sum tests and multivariable logistic regression models (Firth's bias reduction method) were performed to evaluate associations between BIA parameters and perioperative complications. Receiver-operating-characteristic (ROC) curves were plotted for determination of optimal cut-off values of phase angle and Wellness marker in detecting malnutrition and perioperative pneumonia using Youden's-Index (YI).

45 males and 16 females with median age of 62 were included in the study. Significant differences were observed in Wellness Marker (P = .006) and phase angle (P = .008) among patients in the 3 SGA categories. The Wellness Marker (P = .02) was associated with perioperative pneumonia in the univariate analysis. No significant differences were observed for other perioperative complications studied.

BIA shows promise as a preoperative tool, in conjunction with SGA, to detect malnutrition in patients undergoing surgery for head-and-neck malignancies and highlight patients at risk of developing perioperative pneumonia.

Phase angle (PhA) is a prognostic factor for predicting and monitoring geriatric syndromes. However, multiple factors associated with increased PhA values as an outcome remain unclear in the older population. This study aimed to examine the association of socio-demographic, anthropometric and behavioural factors with PhA among older Taiwanese adults.

This cross-sectional study was conducted between May and August 2023.

The study was carried out in northern Taiwan, specifically Taipei city and Yilan county.

Participants aged ≥65 years who were able to walk independently and had no artificial implants, such as cardiac pacemakers or joint replacements, were recruited using convenience sampling. A total of 198 participants were initially recruited for this study.

Data on socio-demographic and behavioural variables were collected using self-administered questionnaires. Anthropometric variables and PhA were measured using a multi-frequency bioelectrical impedance analyser (MC-780MA, TANITA). PhA was categorised into 'high' and 'low' using gender-specific cut-off points. A logistic regression analysis was performed.

A total of 152 participants (mean age: 72.0±5.5 years; 121 women (79.6%)) were included. Male (OR=0.72, 95% CI=0.02 to 0.33), unmarried (OR=0.22, 95% CI=0.06 to 0.82) and unemployed older adults (OR=0.16, 95% CI=0.03 to 0.87) were less probable to achieve high PhA values. After adjusting for potential confounders, older individuals with an increased body mass index (BMI) (OR=2.56, 95% CI=1.61 to 4.07) and greater muscle mass (OR=1.34, 95% CI=1.12 to 1.60) may have higher PhA values, whereas those with a greater fat mass may have lower PhA values (OR=0.61, 95% CI=0.48 to 0.78). No significant associations were observed between behavioural factors and PhA values.

The interventions designed to improve PhA should prioritise strategies tailored to male, unmarried or unemployed older adults, as well as those with low BMI, low muscle mass and high fat mass. Future studies with larger sample sizes are needed to confirm and strengthen our findings.

Phase angle (PhA) is a biomarker derived from raw bioelectrical impedance analysis (BIA) values: resistance (R) and reactance (Xc). PhA reflects cellular membrane integrity and, as a result, has been considered a marker of fluid distribution, making it a potential prognostic indicator. A growing body of research demonstrates independent associations between PhA and muscle strength, mass, and composition. In this context, PhA has the extra potential to serve as a marker of muscle quality. However, the evidence supporting its use for this purpose is not well established. This study aimed to investigate the relationship between PhA and markers of muscle quality.

This systematic review and meta-analysis (Internal Prospective Register of Systematic Reviews - PROSPERO on a registration code: CRD42024507853) focused on observational studies assessing the relationship between PhA and markers of both concepts of muscle quality: the muscle quality index (MQI: strength by a unit of mass) and the muscle composition (i.e., skeletal muscle radiodensity [SMD], muscle echogenicity, muscle fat fraction, inter- and intramuscular adiposity). Risk of bias was assessed using the Newcastle-Ottawa Scale (NOS) and Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2), while the certainty of evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. Meta-analyses with a random-effects model were conducted.

Seventeen studies were included in this systematic review, encompassing 2710 participants. Meta-analyses demonstrated that PhA had a moderate positive correlation coefficient with SMD (4 studies, 924 participants; r = 0.54, 95 % confidence interval (CI) 0.38 to 0.69, heterogeneity (I2) = 92 %) and good accuracy (85 %) for classifying low SMD (2 studies, 390 participants; Area Under the Curve - AUCpooled 0.85, 95 % CI 0.78 to 0.92, I2 = 0 %). PhA was inversely-moderately correlated with muscle echogenicity (8 studies, 1401 participants; r = - 0.42, 95 % CI - 0.57 to - 0.24, I2 = 82 %) and positively-weakly correlated with MQI (2 studies, 191 participants; r = 0.36, 95 % CI 0.21 to 0.49, I2 = 17 %). All studies had a higher risk of bias. The certainty of evidence ranged from low to very low.

Despite technical challenges, this study demonstrates the potential of PhA as a surrogate marker for muscle quality, particularly expressing muscle composition (SMD). Future studies should utilize BIA with standardized protocols to potentially establish specific cutoff values for PhA, thereby enhancing its diagnostic accuracy and clinical applicability. These studies could additionally explore the mechanisms underlying the associations between PhA and muscle quality aspects. In cases where technical factors are not easily controlled, the use of standardized PhA (SPhA), which converts PhA into Z-scores, could be beneficial. Although this warrants investigation, this approach (SPhA) has the potential to account for variables such as age, sex, device differences, and health status.

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.

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.

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.

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.

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.

Sarcopenia is associated with poor clinical outcomes in chronic diseases. Our study aimed to characterize body composition (BC) parameters in patients with inflammatory bowel disease (IBD) and compare skeletal muscle mass (SMM) parameters with the healthy pediatric population.

BC of healthy controls (HC) and of patients with IBD were measured via multifrequency bioelectrical impedance (InBody 720 device) in a cross-sectional manner. The effect of sex, age, height, weight, and body mass index (BMI) on BC parameters, with a special attention to SMM, was assessed. Reference tables from SMM were generated using a maximum-likelihood curve-fitting technique for calculating Z scores.

BC parameters were associated with age, body size, and sex. SMM was lower in patients with IBD (n = 57, aged 6.71 ± 8.7 years) compared to unadjusted HC (n = 307, aged 9.9-19.3 years; 143 males; SMM: 22.34 ± 8.38 vs. 24.4 ± 6.3 kg; p = 0.03). SMM showed a moderately strong correlation with age, weight, height, and BMI (R = 0.65, 0.9, 0.87, and 0.66; p < 0.05 for each) in HC. In multivariate stepwise, ridge regression analysis, age, sex, and BMI remained the significant predictors of SMM (age β = 0.47, -0.31, and 0.38, respectively; p < 0.05). SMM of sex-, age-, and BMI-adjusted HC did not differ from IBD. Therefore, BMI Z score-based references were plotted for normalizing SMM, and SMM Z score was calculated and found to be similar to that of HC.

BC is supposed to be an easy-to-measure and objective marker of sarcopenia in children with IBD. Adjustment of SMM for BMI Z score might be needed to avoid the overestimation of sarcopenia in this patient population.

Phase angle (PhA) is an indicator of cellular health, function, and integrity. PhA has been considered an indicator of nutritional and health status, but it is uncertain whether it could be used as a fitness or athletic performance indicator.

To analyze the relationship between PhA and the fitness and athletic performance of adolescent boxers and to know whether this association is independent of body composition.

Thirty-seven trained youth boxers (15-18 y old) participated in the study. Participants underwent anthropometry and bioelectrical impedance assessments. The following tests were conducted: Fitness-Gram battery; speed, agility, and quickness; ball throws; punch impact force; bench press maximal strength; and vertical and horizontal jumps. Linear regression models were estimated and adjusted by covariates.

The PhA was related to upper-limb strength. Nevertheless, in linear regression models, after adjusting models by body composition, only PhA remained as a predictor of relative maximal strength. The PhA was not a predictor of speed, agility, and quickness; cardiorespiratory fitness; or lower-limb power, in which adiposity was the main predictor of fitness.

In adolescent boxers, PhA can predict upper-limb maximal strength independently of bioelectrical impedance analysis premises. However, compared with mucle mass, PhA is not a better predictor of upper-limb maximal strength.

Phase angle (PhA) declines with age and is a reliable marker for muscle function, making it a potential screening indicator for sarcopenia. However, studies examined the reliability and validity of PhA for detecting sarcopenia, yielding inconsistent results. This meta-analysis aimed to evaluate the accuracy and cutoff value of PhA for screening sarcopenia and examine the potential confounding factors.

This is a meta-analysis.

PubMed, Embase, and Cochrane Library were searched up to September 18, 2023. Eighteen studies (6184 participants) were included reporting the diagnostic accuracy of PhA for screening sarcopenia.

Pooled accuracy [ie, the computed area under the curve value (AUC)] and cutoff value interval for screening sarcopenia were estimated using a random-effects model. Meta-regression analyses were conducted to identify sources of heterogeneity.

The AUC value was 0.81. Pooled sensitivity and specificity were 80% and 70%. The calculated 95% CI of the cutoff value of PhA for screening sarcopenia falls between 4.54° and 5.25°. The results of meta-regression analyses showed that ethnicity, body mass index (BMI), health status, and diagnostic criteria were the main factors affecting the diagnostic accuracy for screening sarcopenia (with all P values < 0.01).

PhA may serve as a robust screening tool for sarcopenia, and the recommended cutoff interval falls between 4.54° and 5.25°. Ethnicity, BMI, health status, and diagnostic criteria can affect PhA's efficacy in sarcopenia screening.

Early detection and management of sarcopenia in patients with connective tissue diseases (CTDs) are essential. However, the relationship between the phase angle and sarcopenia in patients with CTDs is unknown. This study investigated the association between the phase angle and sarcopenia in patients with (CTDs) and determined the optimal phase angle cutoff values for the early detection of sarcopenia.

A retrospective cross-sectional study was conducted in 279 hospitalized patients with CTDs undergoing rehabilitation (median age 73.3 years; 80 men and 199 women). Bioimpedance analysis was used to measure the phase angle, and sarcopenia was assessed according to the Asian Working Group for Sarcopenia criteria.

Sarcopenia was identified in 134 patients (36 men and 98 women). Patients with sarcopenia had a significantly smaller phase angle than those without sarcopenia. Multivariate analysis revealed that phase angle was significantly associated with sarcopenia after adjusting for confounding factors in each sex. The optimal phase angle cutoff value for identifying sarcopenia was 4.6° for men and 4.3° for women, with area under the curve values of 0.795 and 0.754, respectively.

Phase angle is a valuable marker for identifying sarcopenia in patients with CTDs. The established phase angle cutoff values of 4.6° in men and 4.3° in women can facilitate the early detection and management of sarcopenia.

The aim of the study was to use bioelectrical impedance analysis (BIA) to assess nutritional status of elderly patients admitted to hospital and quantitatively measure the impact of the Cardiff and Vale University Health Board (CAVUHB) model ward. Secondary objectives were to assess the feasibility of using BIA in this patient population and compare nutrition risk screening tools against fat-free mass index (FFMI).

A prospective, comparative, single-centre, service evaluation of a 'model ward for nutrition and hydration' undertaken in medical and rehabilitation beds in a large UK teaching hospital.

A total of 450 BIA measurements were taken using a Bodystat Multiscan 5000 on 162 patients; several patients had repeated measurements during their hospital stay. Patients tolerated the procedure well, but lack of accurate weight, implanted medical devices and tissue viability precluded some participants.

BIA is quick, non-invasive, simple to complete and can elicit huge data about an individual's body composition. In a larger cohort of medical admissions, BIA could assist in identifying the sensitivity and specificity of the nutrition screening tools. The collective benefit of a series of nutritional interventions preserved nutritional status better in this elderly inpatient population than usual models of care. Although results were not statistically significant, there is an opportunity with the new model of care to better support frail patients and prevent deconditioning.

In an era when telemedicine is becoming increasingly essential, the development and validation of miniaturized Bioelectrical Impedance Analysis (BIA) devices for accurate and reliable body composition assessment is crucial. This study investigates the BIA Metadieta, a novel miniaturized BIA device, by comparing its performance with that of standard hospital BIA equipment across a diverse demographic. The aim is to enhance remote health monitoring by integrating compact and efficient technology into routine healthcare practices.

A cross-sectional observational study was conducted with 154 participants from the Clinical Nutrition Unit. The study compared resistance (R), reactance (Xc), and phase angle (PhA) measurements obtained from the BIA Metadieta device and a traditional hospital-based BIA device.

Analysis revealed strong positive correlations between the BIA Metadieta and the hospital-based device for R (r = 0.988, P < 0.001), Xc (r = 0.946, P < 0.001), and PhA (r = 0.929, P < 0.001), indicating the miniaturized device's high accuracy and reliability. These correlations were consistent across different genders and BMI categories, demonstrating the device's versatility.

The BIA Metadieta device, with its miniaturized form factor, represents a significant step forward in the field of remote health monitoring, providing a reliable, accurate, and accessible means for assessing body composition.

Postoperative problems are a major danger for patients after heart surgery. Predicting postoperative outcomes for cardiac surgery is limited by current preoperative evaluations. Handgrip strength (HGS) testing and bioelectrical impedance analysis (BIA) may provide extra ways to identify individuals at risk of surgical problems, enhancing risk assessment and results.

The purpose of this systematic review is to assess the utility of measured phase angle (PA), HGS, and bioelectrical impedance as perioperative risk markers in adult patients undergoing elective heart surgery.

The PRISMA principles were followed in this review. We searched all available electronic databases, including the Science Direct search engine and PubMed, MEDLINE, EMBASE, Cochrane Library, Web of Science, PsycINFO, CINAHL, Google Scholar, Scopus, and the Science Direct search engine, from their creation to the present, as well as the medRxiv pre-print site. We considered studies with adult subjects undergoing elective heart surgery who were monitored for problems after surgery and had perioperative BIA and HGS testing.

As a result, out of the 1544 pieces of research that were discovered, eight studies were deemed suitable for inclusion in the review and supplied data from 2781 people. The findings demonstrated a substantial correlation between poor preoperative PA and a higher risk of serious postoperative morbidity, as well as prolonged hospital stays. Furthermore, poor HGS and low PA were linked to greater death rates. Additionally, there was a strong correlation found between low PA and HGS and longer stays in the ICU, as well as an increased chance of dying from all causes in a year. In conclusion these results imply that preoperative HGS and PA may be significant indicators of postoperative results and may assist in identifying patients who are more vulnerable to problems and death.

Bioelectrical impedance analysis-derived phase angle (PhA) reflects the disruption of the cell membrane and intra- and extracellular fluid imbalances caused by chronic inflammation. This study examined the association between PhA and inflammatory markers in community-dwelling older adults.

A sex-stratified logistic regression analysis was conducted, with elevated C-reactive protein (CRP; ≥3.0 mg/L) and interleukin-6 (IL-6; >4.0 pg/mL) levels as the outcomes and whole-body and local PhAs as the exposures. The same analysis was conducted with further stratification for age, overweight status, history of inflammation-related non-communicable diseases, and dietary inflammatory index. The ability to identify inflammation in whole-body and local PhAs was assessed using a receiver operating characteristic (ROC) curve.

This study included 1664 participants (age: 76 [73-80] years; 855 women). In men, significant odds ratios (ORs) at the 95 % confidence interval (95 % CI) were observed for abnormal CRP and IL-6 levels for both whole-body and leg PhAs in the third quartile compared with the lowest quartile (OR [95 % CI] for abnormal CRP levels: 0.36 [0.18, 0.68] for whole-body PhA, 0.51 [0.27, 0.95] for leg PhA; OR [95 % CI] for abnormal IL-6 levels: 0.36 [0.15, 0.81] for whole-body PhA, 0.33 [0.12, 0.78] for leg PhA). The areas under the ROC curves (95 % CI) for identifying abnormal IL-6 were mild in men (0.62 [0.54, 0.70] for whole-body PhA and 0.62 [0.55, 0.70] for leg PhA). In men without a history of inflammation-related non-communicable diseases, it was 0.72 (0.59, 0.85) for whole-body PhA and 0.68 (0.54, 0.81) for leg PhA. In women, the PhA was not significantly associated with inflammatory markers.

PhA is associated with inflammation in community-dwelling older men, but may need to be combined with other information to identify inflammation.

Phase angle (PhA), measured by bioelectrical impedance analysis, indicates cellular health, integrity, and function. As inflammation can damage cells, phase angle may be useful in detecting inflammatory status early. The relationship between dietary inflammatory index (DII) and PhA has not been studied yet. Therefore, we aimed to examine this association in Iranian adults. This cross-sectional study included 206 university employees. Dietary intakes were assessed by using a validated 86-item food frequency questionnaire (FFQ). Anthropometric indices and blood pressure were measured. A short form of the validated International Physical Activity Questionnaire (IPAQ) was used for evaluating physical activity. The PhA was measured by the Body Composition Analyzer Mc780 MA device. The mean age of participants was 43.50 ± 8.82 years and the range of DII score was - 4.66 to 0 among them. The highest tertile of DII compared to the lowest tertile, showed greater weight, WC, HC, basal metabolic rate (BMR), and diastolic blood pressure. We found no significant association between DII and PhA (crude model: OR: 0.68; 95% CI 0.34, 1.33, fully-adjusted model: OR: 0.65; 95% CI 0.26, 1.64). Also, after BMI stratification this association remained (fully-adjusted: normal weight: OR: 0.61; 95% CI 0.11, 3.27; Overweight and obese: OR: 0.57; 95% CI 0.16, 1.98). Having a higher DII score was not associated with a lower PhA. Further well-controlled prospective studies are warranted.

Despite the evidence of beneficial effects of physical activity (PA), people with multiple sclerosis (pwMS) are less physically active than the general population. To increase PA in pwMS, we developed a structured individually tailored PA promotion program which is conducted within clinical practice in a university-based outpatient clinic since 2016. This study serves as retrospective quality control of this program.

In a retrospective cohort study, we assessed the physical fitness of pwMS and the impact of the program on short- and long-term PA changes and behavioral determinants.

The program consisted of four appointments each 2-4 weeks apart. Spiroergometric test results of female pwMS were compared to female non-MS controls who underwent a voluntary physical fitness analysis. The short version of the Freiburger questionnaire, self-developed questions and the modified Physical activity screening questionnaire (PASQ) were sent to all participants assessing the PA levels before the program, 3 months after the program (short-term), and at the time of the survey (long-term). Additionally, established questionnaires assessed behavioral determinants before the program and long-term.

A total of 166 participants [mean age 38.32 (± 10.61 SD), mean EDSS 2.30 (±1.29 SD)] and mostly females (63.3%, n = 105) were included in the study and started the program. A total of 136 participants completed the program. Out of these 63.9% (n = 87) answered the questionnaires in 12.38 (±11.34 SD) months after finishing the program. At baseline female pwMS (n = 100) showed a lower physical fitness in comparison to non-MS controls (n = 26) (maximal workload (Watts): 138.86 ± 37.85 vs. 191.73 ± 45.25, p < 0.001; peak oxygen consumption (ml min-1 kg-1): 26.40 ± 7.23 vs. 31.56 ± 10.10, p = 0.020). pwMS were more regularly active in short- (62.1%) and long-term (55.2%) compared to baseline (24.2%, p < 0.001). Among the activated participants, we observed improved internal motivation (p = 0.002) and decreased perception of barriers (p = 0.006) compared to baseline.

PwMS showed a lower physical fitness in comparison to non-MS controls. An individually tailored PA promotion program might improve behavioral determinants and thereby increase short- and long-term PA levels of pwMS.

Phase angle (PhA) is a variable obtained from bioelectrical impedance analysis (BIA). It is highly sensitive and specific and is commonly used in clinical nutrition assessment. Recently, PhA has shown promise in predicting clinical outcomes, especially as a new indicator of mortality, but its use in pediatric research is limited. This study aims to investigate the association between PhA measured at admission using BIA and PICU length of stay (LOS) and 60-day mortality in critically ill children and adolescents.

A consecutive series of pediatric patients in the PICU underwent BIA measurements within 72 h of admission. All patients met the inclusion and exclusion criteria. Patient demographics, anthropometric measurements, pediatric index of mortality 2 score (PIM-2), and laboratory exams were recorded. Kaplan-Meier (K-M) survival curves were constructed based on the critical PhA value to assess differences in survival status within the 60-day window. Multivariate cox regression model was employed to illustrate the relationship between PhA and 60-day mortality rates. The Youden's index method was used to identify the critical cut-off value for PhA in relation to mortality rates. ROC curves provided the area under the curve (AUC) and a 95% confidence interval (CI).

A total of 205 pediatric patients (118 boys) were included, with a mean age of 9.2 years (±6.0). Survival curves indicated a cutoff value of 3.1°, with higher survival in patients with PhA ≥3.1° compared to those with PhA <3.1° (F = 10.51, p < 0.0001). The area under the ROC curve was 0.70, with a sensitivity of 0.65 and specificity of 0.72. Total hospital LOS was longer in the PhA <3.1° group compared to the PhA ≥3.1° group (p = 0.000). The PhA <3.1° group had a longer PICU LOS (adjusted for age and sex, HR 1.871, p = 0.000, log-rank test, p = 0.000). PhA and PIM-2 were two independently significant correlated variables (p < 0.05) for the 60-day mortality rate in this study.

Low PhA in patients is associated with longer PICU LOS and an increased risk of PICU patient mortality. PhA not only serves as an indicator for monitoring pediatric nutrition but also as a prognostic indicator for PICU patients.

Malnutrition is a significant concern affecting the elderly, necessitating a complex assessment. This study aims to deepen the understanding of factors associated with the assessment of malnutrition in the elderly by comparing single- and multi-parameter approaches. In this cross-sectional study, 154 individuals underwent a comprehensive geriatric assessment (CGA). Malnutrition risk was determined using the mini nutritional assessment (MNA). Additional factors assessed included sarcopenia, polypharmacy, depression, appetite, handgrip strength, and gait speed. Phase angle (PA) and body composition were measured using bioelectrical impedance analysis (BIA). The MNA identified a malnutrition risk in 36.8% of individuals. The geriatric depression scale (GDS) and PA demonstrated moderate effectiveness in assessing malnutrition risk, with AUC values of 0.69 (95% CI: 0.60-0.78) and 0.62 (95% CI: 0.54-0.72), respectively. A logistic regression model incorporating handgrip strength, skeletal muscle mass, sarcopenia, osteoporosis, depression, specific antidepressant use, mobility, appetite, and smoking achieved superior performance in predicting malnutrition risk, with an AUC of 0.84 (95% CI: 0.77-0.91). In conclusion, this study demonstrates that integrating multiple parameters into a composite model provides a more accurate and comprehensive assessment of malnutrition risk in elderly adults.

In patients with cancer, lean body mass loss is frequent and associated with worse outcomes, including reduced treatment tolerance and survival. Bioelectrical impedance analysis (BIA) is a popular method for body composition assessment. We evaluated the value of BIA-derived body composition parameters in predicting mortality and, for the first time, dose-limiting toxicity (DLT).

We conducted a prospective multicenter (n = 12) observational study in adult patients with solid neoplastic disease and receiving primary systemic treatment. We collected information on BIA-derived parameters: phase angle (PhA) <5th percentile of age and gender-specific normative values; standardized PhA (SPA) <-1.65; Nutrigram® <660 mg/24 h/m and <510 mg/24 h/m for males and females, respectively. The primary outcome and the key secondary were 1-year mortality and DLT (any-type severe toxicity requiring a delay in systemic treatment administration or a reduction of its dosage), respectively.

In total, 640 patients were included. At 12 months, death occurred in 286 patients (47.6%). All BIA-derived body composition parameters were independently associated with death: SPA, hazard ratio (HR) = 1.59 [95% confidence interval (CI) 1.30-1.95] (P < 0.001); PhA, HR = 1.38 (95% CI 1.13-1.69) (P = 0.002); Nutrigram®, HR = 1.71 (95% CI 1.42-2.04) (P < 0.001). DLT occurred in 208 patients (32.5%) and body composition parameters were associated with this outcome, particularly SPA: odds ratio = 6.37 (95% CI 2.33-17.44) (P < 0.001).

The study confirmed that BIA-derived body composition parameters are independently associated not only with survival but also with DLT. Although our findings were limited to patients receiving first-line systemic treatment, the evidence reported may have important practice implications for the improvement of the clinical work-up of cancer patients.

This study aimed to develop a simpler approach for diagnosing sarcopenia by using only bioelectrical impedance vector analysis parameters.

The study design was a cross-sectional study. The research was conducted based on the Itabashi Longitudinal Study on Aging, a community-based cohort study, with data collected from the 2022 and 2023 surveys in Itabashi Ward, Tokyo, Japan. The development cohort consisted of 1146 participants from the 2022 survey, and the validation cohort included 656 participants from the 2023 survey. Both cohorts were comprised of community-dwelling older adults with similar inclusion criteria. Sarcopenia was defined according to the Asian Working Group for Sarcopenia 2019 criteria. The logistic model utilized height divided by impedance at 50 kHz and phase angle to establish a new regression equation to identify sarcopenia. Regression equations were generated for the development cohort and validated for the validation cohort. Discriminatory ability was assessed using the area under the receiver operating characteristic curve (AUC) for men and women.

The prevalence of sarcopenia was 20.7% and 14.8% in the development and validation cohort, respectively. The AUC (95% confidence interval) of the logistic model in discriminating sarcopenia was 0.92 (0.88, 0.95) for men and 0.82 (0.78, 0.86) for women in the development cohort and 0.85 (0.78, 0.91) for men and 0.90 (0.86, 0.95) for women in the validation cohort.

The study demonstrated that a simple formula using bioelectrical parameters at 50 kHz proved useful in identifying sarcopenia in the older adult population.

To investigate skeletal muscle indices influencing the anaerobic threshold (AT) measured by cardiopulmonary exercise testing (CPX).

This study included 125 consecutive men (median age: 66.0 years) diagnosed with acute myocardial infarction who underwent CPX before discharge. Participants were categorized into two groups based on their AT: the AT-lowering and AT-maintaining groups, comprising those with AT <11 and ≥11 ml/min/kg, respectively. Skeletal muscle indices that influenced AT, strengths of such influences, and respective cutoff values were investigated using multiple logistic regression analysis, decision-tree analysis, and the random-forest method. Skeletal muscle indices included grip strength, knee extension strength, lower-limb skeletal muscle index, phase angle (PhA), lower-limb PhA, arm circumference (AC), and calf circumference.

Lower-limb PhA, AC, age, and body mass index (BMI) influenced AT (model X2 test: p <0.05; Hosmer-Lemeshow test: p = 0.98). Among the skeletal muscle indices, Gini impurity reduction was the highest in the lower-limb PhA. The cutoff values for AT were ≥4.0° for BMI <24 kg/m2 and ≥6.4° for BMI ≥24 kg/m2.

Lower-limb PhA was the most influential skeletal muscle index affecting AT. PhA measured using body composition analyzers is useful to identify exercise-limiting factors and determine the effectiveness of exercise because it can be easily performed shortly.

This cross-sectional study aimed to examine the association of various aspects of physical activity, including intensity, duration, type, and purpose, with the phase angle (PhA), an objective indicator of health, in Korean adults after stratification by sex. Data from the 2022 Korean National Health and Nutrition Examination Survey, a nationwide, representative, population-based survey, were used. In total, 3996 participants were included in the study. Participants self-reported their weekly intensity, frequency, duration of engagement in physical activity. PhA was categorized into two groups on the basis of sex-specific averages. Multiple logistic regression analysis was used to investigate the relationship between physical activity and PhA, and proportional odds logistic regression analysis was performed to determine the association between physical activity and different subclasses of PhA. A positive association was found between sufficiently active aerobic physical activity and PhA compared with inactive physical activity (sufficiently active, male: odds ratio = 1.952, 95% confidence interval = 1.373-2.776; female: odds ratio = 1.333, 95% confidence interval = 1.019-1.745). This association was further strengthened when aerobic physical activity was accompanied by muscle-strengthening activity (sufficiently active with muscle-strengthening activity, male: aOR = 2.318, 95% CI = 1.512-3.554; female: aOR = 1.762, 95% CI = 1.215-2.556) and vigorous-intensity activities (sufficiently active with sufficient vigorous-intensity activity, male: aOR = 2.785, 95% CI = 1.647-4.709; female: aOR = 2.505, 95% CI = 1.441-4.356) and when there was more leisure-time physical activity than occupational physical activity (sufficiently active with more leisure-time physical activity, male: aOR = 2.158, 95% CI = 1.483-3.140; female: aOR = 1.457, 95% CI = 1.078-1.969). Furthermore, the inclusion of muscle-strengthening activity made a significant difference in the values of PhA for males with insufficiently active physical activity (aOR = 2.679, 95% CI = 1.560-4.602). For females with highly active physical activity (aOR = 1.521, 95% CI = 1.068-2.166), the inclusion of muscle-strengthening and vigorous-intensity activities were significantly associated with higher values for PhA. This study can be utilized to provide specific suggestions for better health programs and can change perception that only occupational physical activity is enough. This study also indicated that PhA can be used for personalized health assessments.

The phase angle (PhA) is a measurement obtained from the resistance and reactance found in the bioelectrical impedance examination and is useful in assessing nutritional status and in assessing cardiometabolic diseases. Therefore, the objective was to correlate the phase angle to the anthropometric variables of cardiometabolic risk (CMR) in children and adolescents.

Weight, height, body mass index (BMI), waist circumference (WC) and neck circumference (NC), waist-to-height ratio (WHtR), and PhA of 1231 children and adolescents aged between 5 and 18 years were assessed. PhA was assessed in tertiles and CMR was identified using the anthropometric variables BMI, WC, NC, and WHtR. Linear regression models were used to verify the association between PhA tertiles and CMR anthropometric variables, stratified by sex.

No relationship was found between PhA and CMR variables in children. In adolescents, lower values of NC (β = -0.019, p = 0.005) and BMI (β = -0.025, p = 0.023) were found in boys, WC (β = -0.017, p = 0.020), WHtR (β = -0.017, p = 0.020), NC (β = -0.011, p = 0.027) and BMI (β = -0.026, p = 0.009) in girls when they were in tertile 1 when compared to tertile 3 of the PhA, even after adjusting for age.

The PhA was directly associated with CMR in the assessed adolescents.

Diabetic peripheral neuropathy (DPN), the very prevalent microvascular complication of type 2 diabetes mellitus (T2DM), severely threatens the quality of life of diabetic patients. Thus, prevention of DPN is extremely important for public health, and the identification of potential biomarkers may help with early prevention. Our work determined the association between phase angles (PhAs) and the risk of DPN in T2DM patients.

This cross-sectional study recruited 697 T2DM patients from the Third Affiliated Hospital of Soochow University. All patients were divided into the non-diabetic peripheral neuropathy group and diabetic peripheral neuropathy group, and the DPN group was further divided into low, medium, and high diabetic foot ulcer risk groups according to vibration perception threshold results. Using univariate and multivariate logistic regression analyses continuously, the relationship between PhAs (arms, legs, trunk, and whole body) and the risk of DPN were evaluated. Further analysis was conducted on different subgroups of the study population.

After adjusting for the potential covariates, multivariate logistic regression analyses indicated that PhAs of the arms, legs, and whole body correlated inversely with the risk of DPN. However, the PhA of the trunk had no significant correlation with DPN. According to the stratified subgroup analysis, the negative association between PhA of the whole body and the risk of DPN remained significant in the sex and BMI group except for participants with BMI ≥ 28 kg/m².

For the first time, PhAs were acknowledged to be independently associated with DPN. Further exploration is needed to explain the findings.

Reduced muscle strength (dynapenia) and mass (atrophy) are prognostic factors in oncology. Measuring maximal handgrip strength with dynamometers is feasible but limited by the cost of the reference device (JAMAR).

A cross-sectional study was conducted on colorectal cancer outpatients treated with chemotherapy or under active surveillance in our center from September 2022 to July 2023. Accuracy, reliability, and concordance were compared for two handheld dynamometers: the JAMAR Plus (the gold-standard device) and the Camry EH101 (a low-cost index device). A simultaneous nutritional diagnosis with GLIM criteria and bioelectrical impedance analysis (BIA) was carried out.

A total of 134 participants were included. The median of maximal strength for the JAMAR Plus had a non-significant difference of 1.4 kg from the Camry EH101. The accuracy and reliability of the devices were high. Bland-Altman analysis showed a 0.8 kg bias and -4.1 to 5.6 kg limits of agreement (LoA); a 0.1 kg bias and -5.3 to 5.4 kg LoA in men; a 1.5 kg bias and -2.2 to 5.3 kg LoA in women. In total, 29.85% of the participants were malnourished. Prevalence of dynapenia increased from 3.67% with the JAMAR Plus to 5.14% with the Camry EH101. Both devices had a moderate and significant correlation with BIA-estimated muscle mass.

The Camry EH101 was a cost-effective alternative to JAMAR Plus in our sample.

Glucagon-like peptide-1 receptor-agonists (GLP-1ra), such as semaglutide, have emerged as promising treatments, demonstrating sustained weight reduction and metabolic benefits. This study aims to assess the impact of oral and subcutaneous semaglutide on body composition and metabolic parameters in patients with T2DM and obesity.

A 24-week quasi-experimental retrospective study including adults with T2DM and obesity (BMI ≥ 30 kg/m²) who were treated with either daily-oral or weekly-subcutaneous semaglutide. Body composition was measured using bioelectrical impedance analysis, evaluating fat mass, fat-free mass, total body water, skeletal muscle mass, and whole-body phase angle. Analytical parameters included lipid profile and glycaemic control. Statistical analyses were performed using SPSS v.26.

Participants (n=88) experienced significant weight loss after treatment with semaglutide (9.5% in subcutaneous, 9.4% in oral, P<0.001). Weight reduction primarily resulted from fat mass reduction without substantial lean mass compromise. Visceral fat area decreased, whiles phase-angle remained stable. Improvements in lipid profiles and glycaemic control were observed, with a decrease in both HbA1c and insulin requirements. Multivariate analysis demonstrated comparable impacts of oral and subcutaneous semaglutide on body composition.

Semaglutide, administered orally or subcutaneously, demonstrated positive effects on body composition, metabolic and glycaemic control in patients with T2DM and obesity. This real-world study highlights the potential of bioelectrical impedance analysis in assessing antidiabetic drugs' impact on body composition, providing valuable insights for future research and clinical applications.

Objective. Blood C-reactive protein (CRP) and the electrical bioimpedance spectroscopy (EBIS) variables phase angle (PhA) and impedance ratio (IR) have been proposed as biomarkers of metainflammation in overweight/obesity. CRP involves taking blood samples, while PhA and IR imply a less-than-2-minute-non-invasive procedure. In this study, values for these variables and percent body fat mass (PBFM) were obtained and compared before and immediately after a colon cleansing protocol (CCP), aimed at modulating intestinal microbiota and reducing metainflammation, as dysbiosis and the latter are intrinsically related, as well as along a period of 8 weeks after it.Approach. 20 female volunteers (20.9-24.9 years old) participated: 12 in an overweight group (OG), and 8 in a lean group (LG). TheOGwas divided in two subgroups (n= 6, each): control (CSG) and experimental (ESG). TheESGunderwent a 6-day CCP at week 2, while 5 volunteers in theCSGunderwent it at week 9.Main results.Pre/post-CCP mean values for the variables in theOGwere: PBFM (34.3/31.3%), CRP (3.7/0.6 mg dl-1), PhA (6.9/7.5°) and IR*10 (0.78/0.77). CalculatedR2correlation factors among these variables are all above 0.89. The favourable changes first seen in theESGwere still present 8 weeks after the CCP.Significance.(a) the CCP drastically lowers meta-inflammation, (b) EBIS can be used to measure metainflammation, before and after treatment, (c) for microbiota modulation, CCP could be a good alternative to more drastic procedures like faecal microbiota transplantation; (d) reestablishing eubiosis by CCP could be an effective coadjutant in the treatment of overweight young adult women.

Lung cancer is the second most diagnosed cancer in the world. Up to 84% of diagnosed patients have malnutrition, which can negatively affect quality of life and survival and may worsen with neoadjuvant treatment. Bioelectrical Impedance Analysis-Derived Phase Angle (PhA) in these patients could be a valid tool to assess the nutritional status in order to improve their condition.

This review provides an update on PhA assessment in lung cancer patients over the past twenty years. We searched PubMed, Embase, Scopus, Web of Science, and Cochrane, for articles regarding the PhA obtained from Bioelectrical Impedance Analysis in lung cancer patients. The authors independently performed a literature search: sample size, patient population, study type, study dates, survival and interventions were evaluated. The final review included 11 studies from different countries.

Eight studies only considered patients with lung cancer, while three studies considered patients with different kind of cancer, including lung. Correlation data between PhA and age are conflicting. In patients undergoing clinical treatment and patients undergoing surgical treatment lower PhA was observed. A lower PhA is associated with a shorter survival. In three studies emerged a relationship between Karnofski Performance Status and Handgrip Strenght with PhA. From one study, univariate logistic regression analysis showed that higher PhA values represent a protective factor for sarcopenia.

Our research underlined interesting, but not conclusive, results on this topic; however more researches are needed to understand the clinical meaning of PhA.

This retrospective study evaluated nutritional status and body composition changes in paediatric β-thalassemia (β-TM) patients before and after hematopoietic stem cell transplantation (HSCT), using bioelectrical impedance analysis (BIA), and explored their relationship with HSCT outcomes.

A cohort of 40 paediatric β-TM patients undergoing allogeneic HSCT was assessed for their nutritional status, anthropometric parameters, including body mass index (BMI), weight, and height, and body composition parameters pre-and post-HSCT, focusing on BIA measurements, including intracellular water (ICW), extracellular water (ECW), fat mass (FAT), fat-free mass (FFM), Skeletal Muscle Mass (SMM), soft Lean Mass (SLM), percent body fat (PBF), Body Cell Mass (BCM), Phase angle (PA) and muscle balance pre- and post-HSCT. Post-HSCT clinical outcomes, including acute graft-vs-host disease (aGVHD), engraftment time, oral mucositis (OM), sinusoidal obstruction syndrome (SOS), and diarrhoea in relation to nutrition status after HSCT were analysed.

After HSCT, 28.21% experienced diminished nutritional status, with 71.43% of those who were wasting before HSCT showing diminished nutritional status, significantly higher than the normal group (18.75%, P = 0.012). Anthropometric changes included significant weight reduction (87.5%, 22.15 ± 7.46 vs 20.74 ± 6.57, P < 0.001) and BMI decrease (90%, 15.19 ± 1.70 vs 14.05 ± 1.48, P < 0.001). Body composition parameters, which are FFM, SMM, SLM, ICW, ECW, BCM, and PA (18.26 ± 5.71 vs 17.27 ± 5.19, 8.68 ± 3.30 vs 7.93 ± 3.02, 17.11 ± 5.28 vs 16.06 ± 4.84, 8.19 ± 2.54 vs 7.62 ± 2.31, 5.15 ± 1.58 vs 4.94 ± 1.47, 11.74 ± 3.63 vs 10.92 ± 3.32, 4.42 ± 0.50 vs 3.90 ± 0.57, respectively, P < 0.001) analysis revealed significant decreases. No significant differences in clinical outcomes were observed based on nutritional status.

Paediatric β-TM patients undergoing HSCT exhibit significant changes in nutrition status and body composition, emphasizing the need for focused attention on malnourished children who are more prone to diminished nutritional status. Comprehensive BIA aids in understanding the impact, urging consideration for extended follow-up and larger cohorts in future research.

The search for other indicators to assess the weight status of individuals is important as it may provide more accurate information and assist in personalized medicine.This work is aimed to develop a machine learning predictions of weigh status derived from bioimpedance measurements and other physical parameters of healthy infant juvenile cohort from the Southern Cuba Region, Santiago de Cuba.

The volunteers were selected between 2002 and 2008, ranging in age between 2 and 18 years old. In total, 393 female and male infant and juvenile individuals are studied. The bioimpedance parameters are obtained by measuring standard tetrapolar whole-body configuration. A classification model are performed, followed by a prediction of other bioparameters influencing the weight status.

The results obtained from the classification model indicate that fat-free mass, reactance, and corrected resistance primarily influence the weight status of the studied population. Specifically, the regression model demonstrates that other bioparameters derived from impedance measurements can be highly accurate in estimating weight status.

The classification and regression predictive models developed in this work are of the great importance for accessing to the weigh status with high accuracy of younger individuals at the Oncological Hospital in Santiago de Cuba, Cuba.

The Subjective Global Assessment (SGA) is a validated tool for identifying nutritional status in patients receiving maintenance hemodialysis (MHD), but it is not without limitations. Current research identifies additional clinical characteristics such as phase angle (PhA) associated with SGA. This study aimed to assess the overall correlation between PhA and SGA; associations between PhA and SGA by body mass index, and to identify clinical characteristics associated with SGA.

This is a secondary analysis of the Rutgers Nutrition & Kidney Database, which enrolled participants from four primary studies that included adults diagnosed with chronic kidney disease who were receiving MHD. Multivariable binary logistic regression analyses were conducted to estimate odds ratio (OR) and corresponding 95% confidence intervals (CIs).

The study sample included 60.0% males with 81.1% of the sample identifying as African American. Additionally, 38.9% were obese according to the body mass index classification, and 57.0% were moderately malnourished. Patients with obesity had 44% lower odds of being moderately malnourished (OR = 0.56, 95% CI = 0.37, 0.85). In the model adjusted for age and ethnicity and other clinical characteristics, increasing PhA values by one unit was associated with 28% lower odds (OR = 0.72, 95% CI = 0.53, 0.97) of being moderately malnourished while increasing waist circumference (WC) values by one unit was associated with 12% higher odds (OR = 1.12; 95% CI = 1.06, 1.19) of being moderately malnourished than well-nourished. In this fully adjusted model, increasing fat free mass (FFM, OR = 0.95, 95% CI = 0.91, 0.99) and fat mass (FM, OR = 0.92, 95% CI = 0.87, 0.97) by 1 kg was also associated with 5% and 8% lower odds of being moderately malnourished, respectively.

PhA and SGA were significantly associated only among patients classified as obese. PhA, WC, FM, and FFM were identified as potential clinical determinants of SGA. Patients receiving MHD and who have obesity may benefit from utilizing SGA along with WC, PhA, FM, and FFM to assess nutritional status.

This study aimed to investigate the association between trunk muscle mass and muscle quality, as evaluated by bioelectrical impedance analysis (BIA), and the ability to walk independently in patients with hip fractures. Cutoff values for quantitative and qualitative indicators of the trunk muscles were also calculated.

This study included 181 patients with hip fractures who were admitted to a convalescent rehabilitation ward. Trunk muscle mass and phase angle of the participants were evaluated on admission. The phase angle in this study was defined as the trunk muscle quality index (TMQI). Patients were classified into the independent (functional independence measure [FIM]-walk score ≥6; n = 101) and non-independent (FIM-walk score ≤5; n = 80) walking groups according to the FIM mobility scores at discharge.

The independent group had a higher FIM gain than the non-independent group (37.0 ± 13.6 vs. 27.1 ± 13.5, p < 0.001). Logistic regression analysis showed that the trunk muscle mass index (TMI) and TMQI were associated with the ability to walk independently. Furthermore, cutoff values of TMI and TMQI for male and female to estimate the ability to walk independently were 6.5 kg/m2 and 5.7 kg/m2, and 4.5° and 3.4°, respectively.

TMI and TMQI are related to the ability to walk independently in patients with hip fractures. These results suggest the importance of improving trunk muscle mass and muscle quality during rehabilitation of patients with hip fractures.