BIA predictive health screening -
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For details, please review our Privacy Policy. Bioelectrical Impedance Bioimpedance Analysis for Assessment of Lymphedema. Key Questions: Does BIA performed by MFBIA i. Does information obtained with BIA improve patient management?
Are safety issues associated with BIA? Have definitive patient selection criteria been established for BIA? Complete this form to request the full report. They showed that in cancer patients older than 60 years, a PA below the fifth reference percentile was predictive of decreased muscle strength, impaired quality of life, and 1-year mortality [ 19 ].
Our results suggest that PA has even stronger discriminative power when used for prognostication beyond day mortality.
The survival curves in our population showed a substantial late mortality in patients with a low PA, underscoring the potential of PA as a predictor of late mortality. The question remains whether PA is a reliable marker of cellular health and muscularity during all phases of critical illness.
Previously, we have shown that a low muscle mass, as measured by computed tomography scanning on ICU admission, is an independent predictor of hospital mortality and of discharge to a nursing home [ 20 ].
Muscle mass is an important marker for both risk stratification and outcome. Kuchnia et al. BIA-derived PA is considered as a surrogate for fat-free mass [ 7 ]. Sarcopenic patients have lower PA values, whereas the PA of athletes is high [ 12 , 13 ].
Future studies are necessary to investigate if PA is a valid surrogate for fat-free mass, especially in critically ill patients with altered hydration status. PA is an attractive index, because it is independent of body weight but, being a function of resistance and reactance, BIA also changes with altering hydration status.
Therefore, large fluid shifts before ICU admission or during the first hours of an ICU stay could cause changes in the BIA-derived PA, which likely reflect inflammation-induced changes in membrane integrity causing fluid redistribution into the extracellular space.
In that case, low PA not only reflects body cell mass but also the consequences of altered hydration status [ 4 ]. The influence of altered hydration on PA may explain why day-5 PA in contrast with day-1 PA was not discriminative for mortality in the study by Thibault et al.
Measuring PA early after admission will likely reduce the confounding of altered hydration. BIVA was used to assess hydration status of the studied patients [ 9 , 10 ]. However, the difference was not significant, but might become so if sample size would be larger.
Interestingly, no patients were classified as dehydrated by BIVA. In contrast to other studies, we did not find a correlation between PA and APACHE IV or SOFA sequential organ failure assessment scores [ 5 , 7 ].
Reason may be that low PA not only reflects acute changes but also poor underlying health, muscle wasting, and fragility, which are poorly reflected by the APACHE II score. Our study has several limitations. We used a convenience sample, meaning BIA measurements were only performed when the researcher was present, thus introducing selection bias by including less acute admissions during off hours.
However, baseline characteristics and disease severity scores of the studied patients were equal to those of all patients admitted during the study period and comparable to other studies [ 5 , 6 , 7 , 8 , 16 , 17 ].
Another limitation is that the optimal PA cutoff value of 4. However, our cutoff value for PA is equal to the cutoff of 4. Of note, our PA cutoff value of 4.
In this data set, the mean PA of gender and BMI-matched healthy individuals was 6. In a smaller data set of healthy subject from the United States, the PA of age-matched individuals was 6. Cutoff values are population specific as shown by the differences between published studies. Furthermore, the sensitivity of our cutoff value was reasonable, but specificity was poor, suggesting that a low PA identifies the patients at risk of dying reasonably well, but a considerable number of patients with a low PA will survive up to 90 days after ICU admission.
Using cutoff values facilitates implementation of PA measurements in clinical practice; however, ideally, the cutoff value used should be prospectively validated in a large cohort of ICU patients. In conclusion, the present study shows that BIA-derived PA at ICU admission is an independent predictor of day mortality.
PA is a biological marker that can aid in long-term mortality risk assessment and may be used to monitor targeted interventions aiming to improve long-term outcome of ICU patients. Future studies should aim at investigating the confounding effect of altered hydration on PA measurement during the course of ICU admission and whether interventions aiming to improve long-term functional status, such as increasing protein intake and early mobilization, also increase PA.
In that case, PA is an even more attractive monitoring tool. Zimmerman JE, Kramer AA, McNair DS, Malila FM. Crit Care Med. Article Google Scholar.
Lukaski HC. Evolution of bioimpedance: a circuitous journey from estimation of physiological function to assessment of body composition and a return to clinical research.
Eur J Clin Nutr. Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, Manuel Gomez J, et al. Bioelectrical impedance analysis-part II: utilization in clinical practice.
Clin Nutr. Lukaski HC, Kyle UG, Kondrup J. Assessment of adult malnutrition and prognosis with bioelectrical impedance analysis: phase angle and impedance ratio. Curr Opin Clin Nutr Metab Care.
da Silva TK, Berbigier MC, Rubin Bde A, Moraes RB, Correa Souza G, Schweigert Perry ID. Phase angle as a prognostic marker in patients with critical illness. Nutr Clin Pract. Kuchnia A, Earthman C, Teigen L, Cole A, Mourtzakis M, Paris M. et al. Evaluation of bioelectrical impedance analysis in critically ill patients: results of a Multicenter Prospective Study.
JPEN J Parenter Enteral Nutr. Thibault R, Makhlouf AM, Mulliez A, Cristina Gonzalez M, Kekstas G, Kozjek NR, et al. Fat-free mass at admission predicts day mortality in intensive care unit patients: the international prospective observational study Phase Angle Project.
Intensive Care Med. Lee YH, Lee JD, Kang DR, Hong J, Lee JM. Bioelectrical impedance analysis values as markers to predict severity in critically ill patients.
J Crit Care. Piccoli A, Rossi B, Pillon L, Bucciante G. A new method for monitoring body fluid variation by bioimpedance analysis: the RXc graph. Kidney Int. Article CAS Google Scholar. Norman K, Stobaus N, Pirlich M, Bosy-Westphal A. Bioelectrical phase angle analysis and impedance vector analysis — clinical relevance and applicability of impedance parameters.
Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. Kilic MK, Kizilarslanoglu MC, Arik G, Bolayir B, Kara O, Dogan Varan H, et al. Association of bioelectrical impedance analysis-derived phase angle and sarcopenia in older adults.
Basile C, Della-Morte D, Cacciatore F, Gargiulo G, Galizia G, Roselli M, et al. Phase angle as bioelectrical marker to identify elderly patients at risk of sarcopenia.
Exp Gerontol. Kyle UG, Genton L, Pichard C. Low phase angle determined by bioelectrical impedance analysis is associated with malnutrition and nutritional risk at hospital admission. Wilhelm-Leen ER, Hall YN, Horwitz RI, Chertow GM. Phase angle, frailty and mortality in older adults. J Gen Intern Med.
Vermeulen KM, Leal LL, Furtado MC, Vale SH, Lais LL. Phase Angle and Onoderas Prognostic Nutritional Index in critically ill patients. Nutr Hosp. Berbigier MC, Pasinato VF, Rubin Bde A, Moraes RB, Perry ID. Bioelectrical impedance phase angle in septic patients admitted to intensive care units.
Rev Bras Ter Intensiv. Kuchnia AJ, Teigen LM, Cole AJ, Mulasi U, Gonzalez MC, Heymsfield SB. Phase angle and impedance ratio: reference cut-points from the United States National Health and Nutrition Examination Survey from Bioimpedance Spectroscopy Data.
Norman K, Wirth R, Neubauer M, Eckardt R, Stobaus N. The bioimpedance phase angle predicts low muscle strength, impaired quality of life, and increased mortality in old patients with cancer.
J Am Med Dir Assoc. Weijs PJ, Looijaard WG, Dekker IM, Stapel SN, Girbes AR. Oudemans-van Straaten HM, et al. Low skeletal muscle area is a risk factor for mortality in mechanically ventilated critically ill patients.
Crit Care. Alves FD, Souza GC, Clausell N, Biolo A. Prognostic role of phase angle in hospitalized patients with acute decompensated heart failure. Norman K, Stobaus N, Zocher D, Bosy-Westphal A, Szramek A, Scheufele R, et al.
Cutoff percentiles of bioelectrical phase angle predict functionality, quality of life, and mortality in patients with cancer. Am J Clin Nutr.
Bosy-Westphal A, Danielzik S, Dörhöfer R, Later W, Wiese S, Müller MJ. Phase angle from bioelectrical impedance analysis: population reference values by age, sex and body mass index. J Parenter Enter Nutr. Barbosa-Silva MCG, Barros AJD, Wang J, Heymsfield SB, Pierson RN.
Bioelectrical impedance analysis: population reference values for phase angle by age and sex. Download references. Our department received an unrestricted grant from Nutricia in With this grant we purchased the BIA-devices used in this study. PW received speaker fees and research grants from Nutricia, Baxter, Fresenius, and Nestle.
Department of Adult Intensive Care Medicine, VU University Medical Center, De Boelelaan , Amsterdam, HV, The Netherlands. Sandra N. Stapel, Wilhelmus G. Looijaard, Armand R. Girbes, Peter J. Research VUmc Intensive Care REVIVE , VU University Medical Center, De Boelelaan , Amsterdam, HV, The Netherlands.
Institute of Cardiovascular Research ICaR-VU , VU University Medical Center, De Boelelaan , Amsterdam, HV, The Netherlands. Department of Internal Medicine, Nutrition and Dietetics, VU University Medical Center, De Boelelaan , Amsterdam, HV, The Netherlands. You can also search for this author in PubMed Google Scholar.
Correspondence to Sandra N. Open Access This article is licensed under a Creative Commons Attribution 4. Reprints and permissions. Stapel, S. Bioelectrical impedance analysis-derived phase angle at admission as a predictor of day mortality in intensive care patients.
Eur J Clin Nutr 72 , — Download citation. Received : 27 October Revised : 26 February Accepted : 19 March Published : 11 May Issue Date : July Anyone you share the following link with will be able to read this content:.
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Thank you for BIA predictive health screening screenig. You are Stay refreshed with thirst satisfaction a browser version with limited support for CSS. Predcitive obtain the best experience, Goji Berry Snacks recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. A low bioelectrical impedance analysis BIA -derived phase angle PA predicts morbidity and mortality in different patient groups. Background: The study aimed to prdictive the association of bioelectrical predictivw analysis Predcitive for predicting clinical outcomes in critically prdictive children. Methods: This single-center scerening Stay refreshed with thirst satisfaction Holistic health supplement included patients Organic mood regulator formula Glycogen storage disease a mixed Pediatric Intensive Care Unit PICU. All patients underwent anthropometric measurement and BIA measurements in the first 24 h of admission. The patients were classified into different groups based on body mass index BMI for age. Electronic hospital medical records were reviewed to collect clinical data for each patient. All the obtained data were analyzed by the statistical methods. Results: There were patients enrolled in our study, of which
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