Application of Bioelectrical Impedance Analysis in Nutritional Management of Patients with Chronic Kidney Disease

Guo, Yanchao; Zhang, Meng; Ye, Ting; Wang, Zhixiang; Yao, Ying

doi:10.3390/nu15183941

Cited by 4 publications

(2 citation statements)

References 106 publications

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“…Studies have shown that anthropometry and body composition provide important information about the nutritional status of patients on dialysis, with muscle mass being a marker of protein nutritional status [ 33 ]. For example, lean body mass represents the “fat-free” muscle mass in HD patients and is a crucial and useful marker of nutritional assessment in HD patients [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

Single-pool model urea clearance index is associated with sarcopenia and nutritional status in patients undergoing maintenance hemodialysis: a cross-sectional study

Li,

Xing,

et al. 2024

BMC Nephrol

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Background The single-pool model urea clearance index (single-pool Kt/Vurea; spKt/V) is the most commonly used method for dialysis adequacy assessment. However, only a few studies have examined the relationship between spKt/V values and parameters related to sarcopenia and nutritional status. This study aimed to evaluate whether the spKt/V is an indicator of sarcopenia and nutritional status in patients undergoing maintenance hemodialysis (MHD). Methods A total of 142 patients were included in this single-center, cross-sectional study. Venous blood samples were collected shortly before the hemodialysis session. The adequacy of dialysis in patients receiving MHD was assessed using spKt/V. Sarcopenia was identified according to the Asian Working Group for Sarcopenia (2019) definition. Receiver operating characteristic curve and area under the curve were used to evaluate the predictive value of spKt/V in sarcopenia. Univariate and multivariate binary logistic regression analyses were used to determine the association between spKt/V and sarcopenia and nutritional status. Results The mean spKt/V level was 1.3 ± 0.2, the prevalence of sarcopenia was 15.5% in patients on MHD. The best cutoff value of spKt/V in sarcopenia was 1.45 for both sexes, 1.33 and 1.45 for men and women, respectively (P < 0.05). The multivariate binary logistic regression shown that the spKt/V was independently positively associated with sarcopenia (OR = 122.88, 95% CI = 0.64–0.87, P = 0.002). Grouping spKt/V by the best cutoff value, when spKt/V ≥ 1.45, the OR of sarcopenia was 11.75 (95% CI = 3.16–43.67, P < 0.001). Subgroup analyses showed that when spKt/V ≥ 1.33 in men and spKt/V ≥ 1.45 in woman, the OR of sarcopenia was 9.73 (95% CI = 2.25–42.11, P = 0.002) and 14.52 (95% CI = 1.06–199.67, P = 0.045), respectively. Conclusions The present study showed that spKt/V was an important influencing factor of sarcopenia and malnutrition in Asian patients on MHD.

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Section: Discussionmentioning

confidence: 99%

Single-pool model urea clearance index is associated with sarcopenia and nutritional status in patients undergoing maintenance hemodialysis: a cross-sectional study

Li,

Xing,

et al. 2024

BMC Nephrol

View full text Add to dashboard Cite

show abstract

“…Renal patients treated by haemodialysis commonly accumulate fluid between treatments. It is important to evaluate their amount of excess fluid, in order to determine how much fluid they should lose by ultrafiltration and also how this fluid loss is distributed between ECW and ICW [9,10]. Body cell mass (BCM) is a predictor of morbidity of patients infected by HIV [11].…”

Section: Introductionmentioning

confidence: 99%

Developing Accurate Predictive Models for Phase Angle Estimation in Adult Individuals of Southern Cuba Region using Classification and Regression Learner Methods from Bioimpedance Measurements

Bello,

Luna,

Lafargue

et al. 2024

Preprint

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Objective: The combined use of bioimpedance and machine learning is essential for accurately estimating the health status of individuals. This work is aimed to develop a machine learning predictions of phase angle derived from bioimpedance measurements of adult-healthy volunteers from Santiago de Cuba, Cuba. Methods: We conducted a pilot study in Santiago de Cuba, Cuba with a total of 2848 volunteers between the ages of 19 and 96. The study included individuals with asthma, diabetics, hypertension, ischemic heart disease and with no apparent illness. Bioimpedance parameters were measured using a standard tetrapolar whole-body configuration. A classification and regression model was used to predict the phase angle. Results: The classification model identified relevant bioparameters for predicting the phase angle. Total body water showed the greatest importance at approximately 94%, followed by the corrected capacitance at ~18% and the basal energy costs at ~17%. The predicted phase angle values were consistent with previous reports of other pathologies, where higher phase angle values indicate better health and men have higher values than women. The model suggests that Xc, TBWkolt, and GBE can be used as alternative indicators for estimating health status. Furthermore, a previously unreported relationship between the metabolic basal index and phase angle was proposed with possible implications for health status. Conclusion: The classification, phase angle and body mass index predictive models are of the great importance to assist the exploration of partial heath status with great accuracy. The results reveal that the predictor models can be used for estimating the phase angle and intrinsically the health status of adult patients with helpful diagnosis assistance in Santiago de Cuba, Cuba.

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Is body composition important in the context of renal function in pediatric neurogenic bladder?

Bagińska-Chyży,

Błahuszewska,

Korzeniecka-Kozerska

2024

Pediatr Nephrol

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Background Neurogenic bladder due to myelomeningocele (MMC) is a significant risk factor for chronic kidney disease in children. Cystatin C (CysC) is a more accurate GFR marker than creatinine as it is unaffected by muscle mass but may be influenced by fat mass and BMI. This study evaluates: (1) GFR measurement accuracy using CysC and creatinine in MMC-related neurogenic bladder, (2) the relationship between body composition via bioelectrical impedance analysis (BIA) and renal parameters, and (3) the use of BIA for non-invasive GFR and body composition assessment. Methods Forty children (median age 9.96 years) underwent serum creatinine, CysC testing, and BIA measurements. We assessed age, sex, spinal lesion level, anthropometric measurements, BMI, and activity using Hoffer’s scale. GFR was calculated using five creatinine-based formulas, three CysC-based, and three combining CysC and creatinine, including BIA GFR as an alternative approach. Results Creatinine-based GFR estimates were significantly higher than CysC-based GFR. Although only 30% of MMC patients met the traditional BMI criteria for overweight/obesity, 62.5% were obese based on BIA-measured body fat percentage. Significant differences were found in CysC and CysC-based GFR equations within BMI and fat mass groups. Positive correlations were observed between CysC and body weight, BMI percentiles, body fat mass and fat-to-muscle ratio. Muscle mass positively correlated with creatinine. Conclusions BIA-determined fat mass percentage is a more sensitive obesity indicator than BMI in MMC patients. CysC levels and CysC-based GFR equations are influenced by body fat mass, requiring consideration of adiposity to avoid misestimating renal impairment. Graphical abstract

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Application of Bioelectrical Impedance Analysis in Nutritional Management of Patients with Chronic Kidney Disease

Cited by 4 publications

References 106 publications

Single-pool model urea clearance index is associated with sarcopenia and nutritional status in patients undergoing maintenance hemodialysis: a cross-sectional study

Single-pool model urea clearance index is associated with sarcopenia and nutritional status in patients undergoing maintenance hemodialysis: a cross-sectional study

Developing Accurate Predictive Models for Phase Angle Estimation in Adult Individuals of Southern Cuba Region using Classification and Regression Learner Methods from Bioimpedance Measurements

Is body composition important in the context of renal function in pediatric neurogenic bladder?

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