Altered tissue electric properties in lung cancer patients as detected by bioelectric impedance vector analysis

Toso, Seema; Piccoli, Antônio; Gusella, Milena; Menon, Daniela; Bononi, Antonio; Crepaldi, Giorgio; Ferrazzí, Eros

doi:10.1016/s0899-9007(99)00230-0

Cited by 175 publications

(157 citation statements)

References 17 publications

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“…It has been shown to be important in the assessment of severity and prognosis, as it reflects different electrical properties of tissues that are affected by disease, nutritional status and hydration, considering it evaluates different dimensions of nutritional status, incorporating both the functional and the morphological assessment 413 - 15 Therefore, its value is influenced by body cell mass and the amount of body fluid 1617 …”

Section: Discussionmentioning

confidence: 99%

Phase angle and World Health Organization criteria for the assessment of nutritional status in children with osteogenesis imperfecta

Pileggi

Scalize

Camelo

2016

Revista Paulista de Pediatria (English Edition)

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Objective:To compare the phase angle of patients with osteogenesis imperfecta treated at a tertiary university hospital with patients in a control group of healthy children, and to assess the nutritional status of these patients through the body mass index proposed by the World Health Organization.Methods:Cross-sectional study carried out in a university hospital that included seven patients with osteogenesis imperfecta and a control group of 17 healthy children of the same gender and age. Weight and height were measured and bioelectrical impedance was performed. Subsequently, the phase angle was calculated based on resistance and reactance values.Results:The phase angle of the group of children with osteogenesis imperfecta was significantly lower than that of the control group (p<0.05). The body mass index criterion for age of the World Health Organization showed no difference between groups.Conclusions:Children with osteogenesis imperfecta have a nutritional risk detected by the phase angle, which is a useful tool for nutritional screening. The calculation result could help in the diet therapy of patients with osteogenesis imperfecta.

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Section: Discussionmentioning

confidence: 99%

Phase angle and World Health Organization criteria for the assessment of nutritional status in children with osteogenesis imperfecta

Pileggi

Scalize

Camelo

2016

Revista Paulista de Pediatria (English Edition)

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“…15,30 The phase angle, one of the raw data obtained from bioelectrical impedance analysis measurements and therefore independent from the equipment and internal algorithms used, has proved to be a good prognostic, nutritional and membrane cell function marker in various diseases. 18,21,31,32 Sex-, age-and BMI-specific reference values of the phase angle from a large healthy German population 33 34 The transformation of phase angle values into standardized values (Z-score) allows us to quantify individual deviations from sex-, age-and BMI-specific population averages and to compare subjects from a heterogeneous group. Furthermore, Norman et al 16 showed that this standardization clearly enhances the phase angle's predictive power.…”

Section: Study Design and Data Collectionmentioning

confidence: 99%

“…16 It is an established parameter for diagnosing malnutrition, and a useful prognostic marker in many clinical conditions 17 including several types of cancer. [18][19][20][21] The Subjective Global Assessment (SGA) questionnaire according to Detsky et al 22 is another means of demonstrating the best combination of sensitivity and specificity in identifying complications related to malnutrition, 23 making the SGA questionnaire a validated tool in cancer patients with which to evaluate nutritional status. 24 The main objective of this prospective study was to evaluate the nutritional status in patients before alloHCT and its course during the early post-transplant period until day þ 100 via weight change before admission, BMI normalized for gender and age, the SGA questionnaire, the phase angle normalized for gender, age, and BMI, and height-normalized fat-free mass and body fat mass.…”

Section: Introductionmentioning

confidence: 99%

Longitudinal follow-up of nutritional status and its influencing factors in adults undergoing allogeneic hematopoietic cell transplantation

Urbain

Birlinger

Lambert

et al. 2012

Bone Marrow Transplant

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There are few longitudinal data on nutritional status and body composition of patients undergoing allogeneic hematopoietic cell transplantation (alloHCT). We assessed nutritional status of 105 patients before alloHCT and its course during the early posttransplant period to day þ 30 and day þ 100 via weight history, body mass index (BMI) normalized for gender and age, Subjective Global Assessment, phase angle normalized for gender, age, and BMI, and fat-free and body fat masses. Furthermore, we present a multivariate regression model investigating the impact of factors on body weight. At admission, 23.8% reported significant weight losses (45%) in the previous 6 months, and we noted 31.5% with abnormal age-and sex-adjusted BMI values (p10th, X90th percentiles). BMI decreased significantly (Po0.0001) in both periods by 11% in total, meaning a weight loss of 8.6 ± 5.7 kg. Simultaneously, the patients experienced significant losses (Po0.0001) of both fat-free and body fat masses. Multivariate regression model revealed clinically relevant acute GVHD (parameter estimate 1.43; P ¼ 0.02) and moderate/severe anorexia (parameter estimate 1.07; P ¼ 0.058) as independent factors influencing early weight loss. In conclusion, our results show a significant deterioration in nutritional status during the early post-transplant period. Predominant alloHCT-associated complications such as anorexia and acute GVHD became evident as significant factors influencing nutritional status.

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“…This method has been shown to be effective to identify patients with a critical fluid overload (Nescolarde et al 2004). Toso et al (2000) using both the BIA and BIVA methods detected that reactance components decrease in pulmonary disease patients. Atilano et al (2012) in their study investigated the suitability of BIVA for the assessment of renal system diseases and detected differences in post dialysed patients.…”

Section: Introductionmentioning

confidence: 98%

Body composition of Slovak midlife women with cardiovascular complications

Drozdová

Daňková

Čerňanová

et al. 2016

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The aim of this study was to analyse differences in body composition of women with and without cardiovascular complications. Bioelectrical parameters were measured with bioimpedance monofrequency analyser (BIA 101) and tissue electric properties were analysed by bioelectric impedance vector analysis (BIVA). The clinical sample (with CVD) consisted of 254 women ranging in age between 39 and 65 years. The sample of women without CVD consisted of 318 women in the same age range and was created from database of our previous studies. Statistical analysis adjusted for age showed significant differences in body composition characteristics of the studied samples. The results of vector analysis showed significantly different tissue electric properties of women in studied groups, what was confirmed by the Hotelling T 2 -test (p=0.0000). More women with CVD attained risky mean values of obesity indices of BMI and WHR than their "healthy" counterparts. Among women with CVD 80.2% had higher value of the BMI index than optimal one (>24.9 kg/m 2 ) and 74.4% of women had higher value of the WHR index than optimal (>0.80). From the BIA parameters strong correlation coefficient was found between BMI and FM in both groups (r=0.962 for women with CVD; r=0.968 for relatively healthy women). Our data confirmed that cardiovascular disease complications are strongly linked in body composition changes. The cross-sectional nature of our study makes it difficult to draw conclusions regarding causal pathways, though variables of obesity are in line with unhealthy conditions.

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Altered tissue electric properties in lung cancer patients as detected by bioelectric impedance vector analysis

Cited by 175 publications

References 17 publications

Phase angle and World Health Organization criteria for the assessment of nutritional status in children with osteogenesis imperfecta

Phase angle and World Health Organization criteria for the assessment of nutritional status in children with osteogenesis imperfecta

Longitudinal follow-up of nutritional status and its influencing factors in adults undergoing allogeneic hematopoietic cell transplantation

Body composition of Slovak midlife women with cardiovascular complications

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