Risk stratification for patients awaiting kidney transplantation: Role of bioimpedance derived edema index and nutrition status

Sukackienė, Diana; Laučytė-Cibulskienė, Agnė; Vickienė, Alvita; Rimševičius, Laurynas; Miglinas, Marius

doi:10.1016/j.clnu.2019.12.001

Cited by 21 publications

(27 citation statements)

References 18 publications

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“…However, there are many patients with cancer who are too weak to stand, and in this case the InBody S10 designed to measure VFA in supine subjects is a choice. 29 The accuracy of InBody S10 in VFA estimation warrants further investigation. In recent years, the role of visceral obesity in the progression of cancer and cancer-related comorbidities has been investigated in several studies.…”

Section: Discussionmentioning

confidence: 97%

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Comparison of visceral fat area measured by CT and bioelectrical impedance analysis in Chinese patients with gastric cancer: a cross-sectional study

et al. 2020

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ObjectivesBioelectrical impedance analysis (BIA) is a simple and inexpensive method to estimate body composition. However, the accuracy of BIA is unknown. We aimed to assess the accuracy of BIA in estimating visceral fat area (VFA) in patients with gastric cancer.Study designThis was a cross-sectional study comparing the accuracy of BIA in estimating VFA with the gold standard method measured by CT. VFA was measured in enrolled patients both by CT and BIA. VFA by CT at umbilical level ≥100 cm2 was considered as visceral obesity. Reliability between the two methods was assessed by intraclass correlation coefficient (ICC) and consistency was assessed by Bland-Altman method (95% limits of agreement). The area under the receiver operating characteristic curve (AUROC) was used to assess the performance of BIA in diagnosing visceral obesity.SettingThe study was conducted in China.ParticipantsFrom 1 January 2017 to 1 December 2018, a total of 157 patients diagnosed with gastric cancer were enrolled.ResultsOverall, VFA by CT and BIA in patients was 84.39±46.43 cm2 and 71.94±22.44 cm2, respectively. VFA estimated by BIA was positively correlated with VFA measured by CT using Pearson’s test (r=0.650, p<0.001). Overall, ICC for the two methods was 0.675. The mean bias between the two measurements was 12.45±36.13 cm2. The 95% limits of agreement ranged from −58.36 cm2 to 83.26 cm2. The cut-off value for diagnosing visceral obesity by BIA was 81 cm2 (AUROC: 0.822, p<0.001, 95% CI 0.758 to 0.887).ConclusionsVFA measured by BIA showed satisfactory reliability with that measured by CT. However, the absolute values of the two methods were not interchangeable. The cut-off value for VFA by BIA in diagnosing visceral obesity was 81 cm2 for patients with gastric cancer in the Chinese population.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 97%

Comparison of visceral fat area measured by CT and bioelectrical impedance analysis in Chinese patients with gastric cancer: a cross-sectional study

et al. 2020

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Section: Methodsmentioning

confidence: 99%

“…Inclusion criteria were patients aged 18 years and over who underwent HD for more than three months, and gave their written, informed consent for study participation 3 . Exclusion criteria included patients with pacemakers, limbless patients and those who refused to participate in the study 3 . In all patients, BIA was performed using the Seca ® medical body composition analyzer 525 (Seca GmbH & Co. KG, Hamburg, Germany), 20 min after the HD procedure, with the patients in the supine position.…”

Section: Methodsmentioning

confidence: 99%

“…In all patients, BIA was performed using the Seca ® medical body composition analyzer 525 (Seca GmbH & Co. KG, Hamburg, Germany), 20 min after the HD procedure, with the patients in the supine position. The parameters assessed by BIA were intracellular water, ECW, TBW, fat-free mass, skeletal lean mass, skeletal muscle mass, body cell mass, bone mineral content and phase angle (PhA) 3 . The ECW/TBW was subsequently calculated from the sum of each segment.…”

Section: Methodsmentioning

confidence: 99%

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Role of the New Bioimpedance Monitoring Device (Seca®) and Human Atrial Natriuretic Peptide in Assessing Volume Status in Hemodialysis Patients

Watanabe

Itô

Fujimaru

et al. 2021

Preprint

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Background There is no evidence on how to use the information from bioimpedance analysis (BIA) devices in clinical management, including setting of target dry weight (DW), or improving outcomes in hemodialysis (HD) patients. Methods Here, we investigate preferable cut off values of fluid status (extracellular water/total body water ratio; ECW/TBW) detected by a new and more accurate BIA device (Seca®) in 78 HD patients. Results Patients with an ECW/TBW of more than 45% and human atrial natriuretic peptide (HANP) value of > 50 pg/mL had a higher blood pressure and cardio-thoracic ratio on chest x-ray examination.Conclusions Our results suggests that ECW/TBW of more than 45% and HANP value of > 50 pg/mL were overhydrated and had a worse prognosis.

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Factors associated with skeletal muscle mass in middle‐aged men living with HIV

Xu,

Wang,

Chen

et al. 2024

J cachexia sarcopenia muscle

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BackgroundDespite extensive research on muscle loss in people living with HIV (PLWH), the prevalence and contributing factors specifically among middle‐aged men remain unclear. This study aimed to determine the prevalence of low muscle mass within this demographic and to identify associated factors.MethodsA total of 378 men living with HIV were enrolled in the study. They were classified into low muscle mass group if they displayed a skeletal muscle index (SMI) <7.00 kg/m2 or fell within the lowest quintile of SMI based on the criteria established by the Asian Working Group for Sarcopenia 2019.ResultsOut of the 378 men living with HIV enrolled, 351 had normal muscle mass, while 27 (7.1%) had low muscle mass. Antiretroviral drugs Zidovudine (AZT) (OR = 0.246, P = 0.022) and higher serum albumin levels (OR = 0.899, P = 0.026) were found to be protective factors against low muscle mass according to quintile grouping. Strong positive associations between SMI and body mass index (BMI), nutritional risk index (NRI), oedema index and fat‐free mass index (FFMI) (R > 0.5, P < 0.001) were observed. In addition, both BMI (sensitivity = 0.741, specificity = 0.906) and NRI (sensitivity = 0.963, specificity = 0.601) had high sensitivity and specificity in diagnosing low muscle mass, with critical values of 19.85 and 114.177 for BMI and NRI, respectively. The oedema index was the most effective measure of body composition in detecting abnormal fluid retention with high sensitivity (92.6%) and moderate specificity (71.8%) in identifying individuals with low muscle mass. Notably, PLWH with low muscle mass participants had a significantly higher prevalence (92.6%) of a high oedema index compared with those with normal muscle mass (28.2%). This observation indicates that individuals with HIV who experience reduced muscle mass is commonly accompanied with abnormal fluid retention within the body.ConclusionsAntiretroviral medication types, specifically Zidovudine, BMI and NRI can be independent risk factors for low muscle mass in men with HIV. These factors, along with BMI, could be used conveniently to predict low muscle mass. Furthermore, the association between the oedema index and muscle mass suggests that observing signs of oedema may indicate a risk of low muscle mass in PLWH.

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Risk stratification for patients awaiting kidney transplantation: Role of bioimpedance derived edema index and nutrition status

Cited by 21 publications

References 18 publications

Comparison of visceral fat area measured by CT and bioelectrical impedance analysis in Chinese patients with gastric cancer: a cross-sectional study

Comparison of visceral fat area measured by CT and bioelectrical impedance analysis in Chinese patients with gastric cancer: a cross-sectional study

Role of the New Bioimpedance Monitoring Device (Seca®) and Human Atrial Natriuretic Peptide in Assessing Volume Status in Hemodialysis Patients

Factors associated with skeletal muscle mass in middle‐aged men living with HIV

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