- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05991778
Bioelectrical Impedance in Monitoring Hyperhydration and Polyneuromyopathy in Critically Ill Patients
Bioelectrical Impedance Vector Analysis (BIVA) in Monitoring Hyperhydration and Polyneuromyopathy in Critically Ill Patients
Study Overview
Status
Conditions
Detailed Description
Hyperhydration has a detrimental effect on mortality risk and morbidity, increases the risk of acute kidney failure, the need of renal replacement therapy (RRT), worsens recovery of renal functions and worsens lung injury (ALI), infectious complications, and causes prolonged artificial pulmonary ventilation (APV), the length of stay on Intensive care unit (ICU), and impairs wound healing.
Real-time assessment of fluid status and management of fluid administration in critically ill patients is challenging. Echocardiography can rapidly identify hemodynamic phenotypes, but it is rather intermittent than continuous methods and requires experienced and trained staff. Semi-invasive methods, based on stroke volume monitoring as the area under the arterial curve and variability of stroke volume variation (SVV) evaluate intravascular volume. However, these methods lack information about the interstitial fluid, part of extracellular water (ECW), or intracellular fluid water (ICW). This problem is partially solved by transpulmonary thermodilution with extravascular lung water (EVLW) measurement and lung ultrasound. Calculating the cumulative balance (CBF) is imprecise, especially in the area of fluid output for insensible losses or third-space fluid losses. Even more imprecise is the clinical assessment of peripheral edema and blood flow. And gold standard deuterium dilution methods for total body water (TBW) are not usable in daily practice in the ICU settings.
In addition to hyperhydration, the rapid loss of muscle tissue in critically ill patients has a negative impact on the course of the disease. Polyneuromyopathy affects up to 40 % of critically ill patients, patients in a severe catabolic state with an activated systemic inflammatory response (SIRS), with corticosteroid therapy, and immobilized on long-term artificial lung ventilation are at risk. Monitoring lean body mass, especially skeletal muscle mass (SMM), is still difficult. Anthropometric measurements and ultrasound measurements of the quadriceps muscles are not ideal because they are time-consuming and require well-trained staff. Some laboratory parameters such as albumin are likely to be influenced by inflammation (CRP), and hydration. Dual-energy X-ray absorptiometers (DEXA) using two different wavelengths of low-intensity X-rays give a relatively accurate picture of bone mass and soft tissues (fat-free mass, active mass, fat). However, repeated X-ray examination in immobilized critically ill patients is not the method of choice.
Bioelectrical impedance vector analysis (BIVA) is a simple, rapid, and noninvasive bedside technique, based on the principle that the flow of altering electrical current through a particular tissue differs depending on the content of water and electrolytes. It is thus able to measure body composition as skeletal muscle mass (SMM), and body cell mass (BCM), including total body water and extracellular water. And with the use of 50 frequencies of bioimpedance spectroscopy (BIS), it is possible to distinguish TBW, ECW, and from their different intracellular water, because only electric current with a frequency higher than 100 Hertz (Hz) passes through the cell membrane. However, the technique cannot distinguish between intravascular and interstitial volumes in the extracellular compartment. According to a number of studies, the results of bioimpedance parameters of body composition are comparable to DEXA. However, BIA overestimates the representation of muscle. An important parameter is the phase angle (PA), which detects a time delay of the passage of current through the cell membrane, i.e., a phase shift between the sinusoidal voltage and current waveforms. PA reflects BCM and serves as an important prognostic factor, with a normal value of 4-15°.
Of the laboratory markers, presepsin (PSEP) has prognostic significance. Presepsin, soluble Cluster of differentiation 14 (sCD14), is a glycoprotein expressed in the membranes of monocytes and macrophages in response to pathogen-associated molecular patterns (PAMPs: lipopolysaccharide, peptidoglycan) part of the bacterial wall or to other damage to cells - damage-associated molecular patterns (DAMPs). An interesting finding is its prognostic role, i.e. higher values in non-surviving patients, evaluated by a number of studies.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
Czech Republic
-
Ostrava, Czech Republic, Czechia, 70852
- University Hospital Ostrava
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Critically ill adult patients admitted to 24 beds ICU of the University Hospital with the development of ARDS and the assumption of at least 7 days of artificial lung ventilation (medical, trauma, surgical patients) at the time of admission to the ICU.
Informed consent was obtained from the person legally responsible for the patient.
Description
Inclusion Criteria:
- Patients with respiratory insufficiency, with the assumption of at least 7 days of artificial lung ventilation (medical, trauma, surgical patients)
- Primary acute respiratory distress syndrome (ARDS) (pulmonary involvement): pneumonia, inhalation trauma, chest trauma (lung contusion), aspiration
- Secondary ARDS (extrapulmonary): sepsis, shock states, acute pancreatitis, polytrauma, burns, non-cardiogenic shock, intoxication, TRALI (massive blood transfusion), drowning
- Patients with acute exacerbation of chronic obstructive pulmonary disease (COPD)
Exclusion Criteria:
- Patients with unfavorable prognosis
- APACHE II ≥30
- Metastatic malignancy
- Conditions after cardiopulmonary resuscitation (KPCR) before admission
- Cerebral edema
- Brain trauma
- Intracranial hypertension
- Liver cirrhosis
- A pre-existing neurodegenerative disease
- Patients with pacemakers, defibrillators, pregnancy (conditions contraindications to use of bio-electrical impedance).
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Group of Patients who Survived (S)
The group is defined by the number of patients who survived.
|
BIVA is a simple, rapid, and noninvasive method, based on the principle that the flow of altering electrical current through a particular tissue differs depending on the content of water and electrolytes, used for monitoring hydratation and nutritional status in critically ill patients.
For regular measurement in 2-3 terms, depending on the length of hospitalization (the first measurement took place within 48 hours of admission, followed one week after admission and the last before transport from the ICU): laboratory indicators of nutritional status will also be taken (albumin, prealbumin, creatinine), inflammation (C-reactive protein, presepsin) and 25-hydroxyvitamin D level.
Cumulative balance is the sum of daily fluid balances during hospitalization.
|
|
Group of Patients who Died (D)
The group is defined by the number of patients who died.
|
BIVA is a simple, rapid, and noninvasive method, based on the principle that the flow of altering electrical current through a particular tissue differs depending on the content of water and electrolytes, used for monitoring hydratation and nutritional status in critically ill patients.
For regular measurement in 2-3 terms, depending on the length of hospitalization (the first measurement took place within 48 hours of admission, followed one week after admission and the last before transport from the ICU): laboratory indicators of nutritional status will also be taken (albumin, prealbumin, creatinine), inflammation (C-reactive protein, presepsin) and 25-hydroxyvitamin D level.
Cumulative balance is the sum of daily fluid balances during hospitalization.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Body Mass (physique) - Bioelectrical impedance analysis (BIA)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Bioelectrical impedance analysis (BIA) comparison of skeletal muscle mass, body fat and body water (expressed in %) in patients hospitalized in the ICU.
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Body Mass (physique) - Phase Angle (PA)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Assessment of the Phase angle (expressed in degrees) as a part of BIA in patients hospitalized in the ICU.
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Body Mass (physique) - BIVA vector analysis (Cole Cole graf)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Assessment of the BIVA vector analysis (Cole Cole graf, expressed as a optimal curve dependence of resistance on reactance always at a specific frequency, divided into quadrants) in patients hospitalized in the ICU.
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Indicators of nutritional status (albumin, prealbumin)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Assesment of indicators of nutritional status (albumin, prealbumin in g/l) in serum of patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Indicator of inflammation (CRP)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Assesment of indicator of inflammation (C-reactive protein in mg/L) in serum of patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Indicator of inflammation - presepsin (PSEP)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Assesment of indicator of inflammation measurements (presepsin in ng/L) in serum of patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Total body water (TBW)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Total body water measurements (in %) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Extracellular water (ECW)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Extracellular water measurements (in %) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Intracellular water (ICW)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Intracellular water measurements (in %) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Overhydration (OHY)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Overhydration measurements (in %) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Ratio ECW/TBW
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Ratio ECW/TBW measurements (in %) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Active body mass index (ATH)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Active body mass index measurements (in kg/m2) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Body mass index (BMI)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Body mass index measurements (in kg/m2) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Body fat mass index (BFMI)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Body fat mass index measurements (in kg/m2) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Fat-free mass index (FFMI)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Fat-free mass index measurements (in kg/m2) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Skeletal muscle mass (SMM)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Skeletal muscle mass measurements (in kg) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Body cell mass (BCM)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Body cell mass measurements (in kg) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Basal metabolic rate (BMR)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Basal metabolic rate measurements (in kcal) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Nutric index (NI)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Nutric index measurements (in %) in patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Prediction marker (PM)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Prediction marker measurements in patients admitted to Intensive Care Unit (ICU).
The mark value under 0,75 indicates normal condition, value over 0,86 means critical condition.
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Indicators of nutritional status (creatinine)
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Indicators of nutritional status measurements (creatinine in µmol/L) in serum of patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Level of 25-hydroxyvitamin D
Time Frame: The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
Level of 25-hydroxyvitamin D measurements (in nmol/L) in serum of patients admitted to Intensive Care Unit (ICU).
|
The first within 48 hours of admission, the second one week after admission and third before transport from the ICU
|
|
Cumulative fluid balance (CFB)
Time Frame: Every 24 hours until patient´s transport from the ICU
|
Cumulative fluid balance daily measurements (in ml) in patients admitted to Intensive Care Unit (ICU).
|
Every 24 hours until patient´s transport from the ICU
|
|
Measurement of energy income
Time Frame: Every 24 hours until patient´s transport from the ICU
|
Measurement of daily energy income (in kcals) in patients admitted to Intensive Care Unit (ICU).
|
Every 24 hours until patient´s transport from the ICU
|
|
Measurement of protein income
Time Frame: Every 24 hours until patient´s transport from the ICU
|
Measurement of daily protein income (in g) in patients admitted to Intensive Care Unit (ICU).
|
Every 24 hours until patient´s transport from the ICU
|
|
Assessment of the presence of delirium (CAM-ICU test)
Time Frame: Every 24 hours until patient´s transport from the ICU
|
The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) is a simple and short test that enables continuous monitoring of the patients in conditions of ICU (measured as positive/negative).
|
Every 24 hours until patient´s transport from the ICU
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Marcela Káňová, MD, Ph.D., University Hospital Ostrava
Publications and helpful links
General Publications
- Jones SL, Tanaka A, Eastwood GM, Young H, Peck L, Bellomo R, Martensson J. Bioelectrical impedance vector analysis in critically ill patients: a prospective, clinician-blinded investigation. Crit Care. 2015 Aug 12;19(1):290. doi: 10.1186/s13054-015-1009-3.
- Malbrain ML, Huygh J, Dabrowski W, De Waele JJ, Staelens A, Wauters J. The use of bio-electrical impedance analysis (BIA) to guide fluid management, resuscitation and deresuscitation in critically ill patients: a bench-to-bedside review. Anaesthesiol Intensive Ther. 2014 Nov-Dec;46(5):381-91. doi: 10.5603/AIT.2014.0061.
- Dewitte A, Carles P, Joannes-Boyau O, Fleureau C, Roze H, Combe C, Ouattara A. Bioelectrical impedance spectroscopy to estimate fluid balance in critically ill patients. J Clin Monit Comput. 2016 Apr;30(2):227-33. doi: 10.1007/s10877-015-9706-7. Epub 2015 May 29.
- Samoni S, Vigo V, Resendiz LI, Villa G, De Rosa S, Nalesso F, Ferrari F, Meola M, Brendolan A, Malacarne P, Forfori F, Bonato R, Donadio C, Ronco C. Impact of hyperhydration on the mortality risk in critically ill patients admitted in intensive care units: comparison between bioelectrical impedance vector analysis and cumulative fluid balance recording. Crit Care. 2016 Apr 8;20:95. doi: 10.1186/s13054-016-1269-6.
- Basso F, Berdin G, Virzi GM, Mason G, Piccinni P, Day S, Cruz DN, Wjewodzka M, Giuliani A, Brendolan A, Ronco C. Fluid management in the intensive care unit: bioelectrical impedance vector analysis as a tool to assess hydration status and optimal fluid balance in critically ill patients. Blood Purif. 2013;36(3-4):192-9. doi: 10.1159/000356366. Epub 2013 Dec 20.
- Michard F, Teboul JL. Predicting fluid responsiveness in ICU patients: a critical analysis of the evidence. Chest. 2002 Jun;121(6):2000-8. doi: 10.1378/chest.121.6.2000.
- Preiser JC, Ichai C, Orban JC, Groeneveld AB. Metabolic response to the stress of critical illness. Br J Anaesth. 2014 Dec;113(6):945-54. doi: 10.1093/bja/aeu187. Epub 2014 Jun 26.
- Gupta D, Lammersfeld CA, Burrows JL, Dahlk SL, Vashi PG, Grutsch JF, Hoffman S, Lis CG. Bioelectrical impedance phase angle in clinical practice: implications for prognosis in advanced colorectal cancer. Am J Clin Nutr. 2004 Dec;80(6):1634-8. doi: 10.1093/ajcn/80.6.1634.
- Latronico N, Bolton CF. Critical illness polyneuropathy and myopathy: a major cause of muscle weakness and paralysis. Lancet Neurol. 2011 Oct;10(10):931-41. doi: 10.1016/S1474-4422(11)70178-8.
- Moissl UM, Wabel P, Chamney PW, Bosaeus I, Levin NW, Bosy-Westphal A, Korth O, Muller MJ, Ellegard L, Malmros V, Kaitwatcharachai C, Kuhlmann MK, Zhu F, Fuller NJ. Body fluid volume determination via body composition spectroscopy in health and disease. Physiol Meas. 2006 Sep;27(9):921-33. doi: 10.1088/0967-3334/27/9/012. Epub 2006 Jul 25.
- Chamney PW, Wabel P, Moissl UM, Muller MJ, Bosy-Westphal A, Korth O, Fuller NJ. A whole-body model to distinguish excess fluid from the hydration of major body tissues. Am J Clin Nutr. 2007 Jan;85(1):80-9. doi: 10.1093/ajcn/85.1.80.
- Malbrain ML, Marik PE, Witters I, Cordemans C, Kirkpatrick AW, Roberts DJ, Van Regenmortel N. Fluid overload, de-resuscitation, and outcomes in critically ill or injured patients: a systematic review with suggestions for clinical practice. Anaesthesiol Intensive Ther. 2014 Nov-Dec;46(5):361-80. doi: 10.5603/AIT.2014.0060.
- Cruz-Jentoft AJ, Bahat G, Bauer J, Boirie Y, Bruyere O, Cederholm T, Cooper C, Landi F, Rolland Y, Sayer AA, Schneider SM, Sieber CC, Topinkova E, Vandewoude M, Visser M, Zamboni M; Writing Group for the European Working Group on Sarcopenia in Older People 2 (EWGSOP2), and the Extended Group for EWGSOP2. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. 2019 Jul 1;48(4):601. doi: 10.1093/ageing/afz046. No abstract available.
- Khalil SF, Mohktar MS, Ibrahim F. The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases. Sensors (Basel). 2014 Jun 19;14(6):10895-928. doi: 10.3390/s140610895.
- Vincent JL, Sakr Y, Sprung CL, Ranieri VM, Reinhart K, Gerlach H, Moreno R, Carlet J, Le Gall JR, Payen D; Sepsis Occurrence in Acutely Ill Patients Investigators. Sepsis in European intensive care units: results of the SOAP study. Crit Care Med. 2006 Feb;34(2):344-53. doi: 10.1097/01.ccm.0000194725.48928.3a.
- National Heart, Lung, and Blood Institute Acute Respiratory Distress Syndrome (ARDS) Clinical Trials Network; Wiedemann HP, Wheeler AP, Bernard GR, Thompson BT, Hayden D, deBoisblanc B, Connors AF Jr, Hite RD, Harabin AL. Comparison of two fluid-management strategies in acute lung injury. N Engl J Med. 2006 Jun 15;354(24):2564-75. doi: 10.1056/NEJMoa062200. Epub 2006 May 21.
- Vincent JL. Fluid management in the critically ill. Kidney Int. 2019 Jul;96(1):52-57. doi: 10.1016/j.kint.2018.11.047. Epub 2019 Mar 4.
- Piccoli A. Bioelectric impedance measurement for fluid status assessment. Contrib Nephrol. 2010;164:143-152. doi: 10.1159/000313727. Epub 2010 Apr 20.
- Peacock Iv WF. Use of bioimpedance vector analysis in critically ill and cardiorenal patients. Contrib Nephrol. 2010;165:226-235. doi: 10.1159/000313762. Epub 2010 Apr 20.
- Parrinello G, Paterna S, Di Pasquale P, Torres D, Fatta A, Mezzero M, Scaglione R, Licata G. The usefulness of bioelectrical impedance analysis in differentiating dyspnea due to decompensated heart failure. J Card Fail. 2008 Oct;14(8):676-86. doi: 10.1016/j.cardfail.2008.04.005. Epub 2008 Jun 6.
- Kyle UG, Soundar EP, Genton L, Pichard C. Can phase angle determined by bioelectrical impedance analysis assess nutritional risk? A comparison between healthy and hospitalized subjects. Clin Nutr. 2012 Dec;31(6):875-81. doi: 10.1016/j.clnu.2012.04.002. Epub 2012 May 4.
- Thibault R, Makhlouf AM, Mulliez A, Cristina Gonzalez M, Kekstas G, Kozjek NR, Preiser JC, Rozalen IC, Dadet S, Krznaric Z, Kupczyk K, Tamion F, Cano N, Pichard C; Phase Angle Project Investigators. Fat-free mass at admission predicts 28-day mortality in intensive care unit patients: the international prospective observational study Phase Angle Project. Intensive Care Med. 2016 Sep;42(9):1445-53. doi: 10.1007/s00134-016-4468-3. Epub 2016 Aug 11.
- Rousseau AF, Prescott HC, Brett SJ, Weiss B, Azoulay E, Creteur J, Latronico N, Hough CL, Weber-Carstens S, Vincent JL, Preiser JC. Long-term outcomes after critical illness: recent insights. Crit Care. 2021 Mar 17;25(1):108. doi: 10.1186/s13054-021-03535-3.
- Malbrain MLNG, Langer T, Annane D, Gattinoni L, Elbers P, Hahn RG, De Laet I, Minini A, Wong A, Ince C, Muckart D, Mythen M, Caironi P, Van Regenmortel N. Intravenous fluid therapy in the perioperative and critical care setting: Executive summary of the International Fluid Academy (IFA). Ann Intensive Care. 2020 May 24;10(1):64. doi: 10.1186/s13613-020-00679-3.
- Nunes TS, Ladeira RT, Bafi AT, de Azevedo LC, Machado FR, Freitas FG. Duration of hemodynamic effects of crystalloids in patients with circulatory shock after initial resuscitation. Ann Intensive Care. 2014 Aug 1;4:25. doi: 10.1186/s13613-014-0025-9. eCollection 2014.
- Wang N, Jiang L, Zhu B, Wen Y, Xi XM; Beijing Acute Kidney Injury Trial (BAKIT) Workgroup. Fluid balance and mortality in critically ill patients with acute kidney injury: a multicenter prospective epidemiological study. Crit Care. 2015 Oct 23;19:371. doi: 10.1186/s13054-015-1085-4.
- Messmer AS, Zingg C, Muller M, Gerber JL, Schefold JC, Pfortmueller CA. Fluid Overload and Mortality in Adult Critical Care Patients-A Systematic Review and Meta-Analysis of Observational Studies. Crit Care Med. 2020 Dec;48(12):1862-1870. doi: 10.1097/CCM.0000000000004617.
- Payen D, de Pont AC, Sakr Y, Spies C, Reinhart K, Vincent JL; Sepsis Occurrence in Acutely Ill Patients (SOAP) Investigators. A positive fluid balance is associated with a worse outcome in patients with acute renal failure. Crit Care. 2008;12(3):R74. doi: 10.1186/cc6916. Epub 2008 Jun 4.
- RENAL Replacement Therapy Study Investigators; Bellomo R, Cass A, Cole L, Finfer S, Gallagher M, Lee J, Lo S, McArthur C, McGuiness S, Norton R, Myburgh J, Scheinkestel C, Su S. An observational study fluid balance and patient outcomes in the Randomized Evaluation of Normal vs. Augmented Level of Replacement Therapy trial. Crit Care Med. 2012 Jun;40(6):1753-60. doi: 10.1097/CCM.0b013e318246b9c6.
- Magder S. Volume and its relationship to cardiac output and venous return. Crit Care. 2016 Sep 10;20(1):271. doi: 10.1186/s13054-016-1438-7. Erratum In: Crit Care. 2017 Jan 26;21(1):16.
- Silversides JA, Perner A, Malbrain MLNG. Liberal versus restrictive fluid therapy in critically ill patients. Intensive Care Med. 2019 Oct;45(10):1440-1442. doi: 10.1007/s00134-019-05713-y. Epub 2019 Aug 9. No abstract available.
- De Backer D, Aissaoui N, Cecconi M, Chew MS, Denault A, Hajjar L, Hernandez G, Messina A, Myatra SN, Ostermann M, Pinsky MR, Teboul JL, Vignon P, Vincent JL, Monnet X. How can assessing hemodynamics help to assess volume status? Intensive Care Med. 2022 Oct;48(10):1482-1494. doi: 10.1007/s00134-022-06808-9. Epub 2022 Aug 10.
- Perren A, Markmann M, Merlani G, Marone C, Merlani P. Fluid balance in critically ill patients. Should we really rely on it? Minerva Anestesiol. 2011 Aug;77(8):802-11.
- Kanova M, Kohout P. Molecular Mechanisms Underlying Intensive Care Unit-Acquired Weakness and Sarcopenia. Int J Mol Sci. 2022 Jul 29;23(15):8396. doi: 10.3390/ijms23158396.
- Binkovitz LA, Henwood MJ. Pediatric DXA: technique and interpretation. Pediatr Radiol. 2007 Jan;37(1):21-31. doi: 10.1007/s00247-006-0153-y. Epub 2006 May 20.
- Abramowitz MK, Hall CB, Amodu A, Sharma D, Androga L, Hawkins M. Muscle mass, BMI, and mortality among adults in the United States: A population-based cohort study. PLoS One. 2018 Apr 11;13(4):e0194697. doi: 10.1371/journal.pone.0194697. eCollection 2018. Erratum In: PLoS One. 2018 May 24;13(5):e0198318.
- Fujimoto K, Inage K, Eguchi Y, Orita S, Suzuki M, Kubota G, Sainoh T, Sato J, Shiga Y, Abe K, Kanamoto H, Inoue M, Kinoshita H, Norimoto M, Umimura T, Koda M, Furuya T, Akazawa T, Toyoguchi T, Terakado A, Takahashi K, Ohtori S. Use of Bioelectrical Impedance Analysis for the Measurement of Appendicular Skeletal Muscle Mass/Whole Fat Mass and Its Relevance in Assessing Osteoporosis among Patients with Low Back Pain: A Comparative Analysis Using Dual X-ray Absorptiometry. Asian Spine J. 2018 Oct;12(5):839-845. doi: 10.31616/asj.2018.12.5.839. Epub 2018 Sep 10.
- Kushner RF, Schoeller DA, Fjeld CR, Danford L. Is the impedance index (ht2/R) significant in predicting total body water? Am J Clin Nutr. 1992 Nov;56(5):835-9. doi: 10.1093/ajcn/56.5.835.
- Lukaski HC, Hall CB, Siders WA. Assessment of change in hydration in women during pregnancy and postpartum with bioelectrical impedance vectors. Nutrition. 2007 Jul-Aug;23(7-8):543-50. doi: 10.1016/j.nut.2007.05.001. Epub 2007 Jun 14.
- Cheng KY, Chow SK, Hung VW, Wong CH, Wong RM, Tsang CS, Kwok T, Cheung WH. Diagnosis of sarcopenia by evaluating skeletal muscle mass by adjusted bioimpedance analysis validated with dual-energy X-ray absorptiometry. J Cachexia Sarcopenia Muscle. 2021 Dec;12(6):2163-2173. doi: 10.1002/jcsm.12825. Epub 2021 Oct 4.
- Dzator S, Weerasekara I, Shields M, Haslam R, James D. Agreement Between Dual-Energy X-ray Absorptiometry and Bioelectric Impedance Analysis for Assessing Body Composition in Athletes: A Systematic Review and Meta-Analysis. Clin J Sport Med. 2023 Feb 28. doi: 10.1097/JSM.0000000000001136. Online ahead of print.
- Baumgartner RN, Chumlea WC, Roche AF. Bioelectric impedance phase angle and body composition. Am J Clin Nutr. 1988 Jul;48(1):16-23. doi: 10.1093/ajcn/48.1.16.
- Di Vincenzo O, Marra M, Di Gregorio A, Pasanisi F, Scalfi L. Bioelectrical impedance analysis (BIA) -derived phase angle in sarcopenia: A systematic review. Clin Nutr. 2021 May;40(5):3052-3061. doi: 10.1016/j.clnu.2020.10.048. Epub 2020 Nov 1.
- Gupta D, Lis CG, Dahlk SL, Vashi PG, Grutsch JF, Lammersfeld CA. Bioelectrical impedance phase angle as a prognostic indicator in advanced pancreatic cancer. Br J Nutr. 2004 Dec;92(6):957-62. doi: 10.1079/bjn20041292.
- Gupta D, Lammersfeld CA, Vashi PG, King J, Dahlk SL, Grutsch JF, Lis CG. Bioelectrical impedance phase angle as a prognostic indicator in breast cancer. BMC Cancer. 2008 Aug 27;8:249. doi: 10.1186/1471-2407-8-249.
- Kanova M, Dobias R, Liszkova K, Frelich M, Jecminkova R, Kula R. Presepsin in the diagnostics of sepsis. Vnitr Lek. 2019 Summer;65(7-8):497-505.
- Behnes M, Bertsch T, Lepiorz D, Lang S, Trinkmann F, Brueckmann M, Borggrefe M, Hoffmann U. Diagnostic and prognostic utility of soluble CD 14 subtype (presepsin) for severe sepsis and septic shock during the first week of intensive care treatment. Crit Care. 2014 Sep 5;18(5):507. doi: 10.1186/s13054-014-0507-z.
- Piccoli A, Codognotto M, Piasentin P, Naso A. Combined evaluation of nutrition and hydration in dialysis patients with bioelectrical impedance vector analysis (BIVA). Clin Nutr. 2014 Aug;33(4):673-7. doi: 10.1016/j.clnu.2013.08.007. Epub 2013 Aug 31.
- Chen H, Wu B, Gong D, Liu Z. Fluid overload at start of continuous renal replacement therapy is associated with poorer clinical condition and outcome: a prospective observational study on the combined use of bioimpedance vector analysis and serum N-terminal pro-B-type natriuretic peptide measurement. Crit Care. 2015 Apr 2;19(1):135. doi: 10.1186/s13054-015-0871-3.
- Finn PJ, Plank LD, Clark MA, Connolly AB, Hill GL. Progressive cellular dehydration and proteolysis in critically ill patients. Lancet. 1996 Mar 9;347(9002):654-6. doi: 10.1016/s0140-6736(96)91204-0.
- Plank LD, Monk DN, Woollard GA, Hill GL. Evaluation of multifrequency bioimpedance spectroscopy for measurement of the extracellular water space in critically ill patients. Appl Radiat Isot. 1998 May-Jun;49(5-6):481-3. doi: 10.1016/s0969-8043(97)00060-2.
- Yang SF, Tseng CM, Liu IF, Tsai SH, Kuo WS, Tsao TP. Clinical Significance of Bioimpedance Spectroscopy in Critically Ill Patients. J Intensive Care Med. 2019 Jun;34(6):495-502. doi: 10.1177/0885066617702591. Epub 2017 Apr 4.
- Wang Y, Gu Z. Effect of bioimpedance-defined overhydration parameters on mortality and cardiovascular events in patients undergoing dialysis: a systematic review and meta-analysis. J Int Med Res. 2021 Sep;49(9):3000605211031063. doi: 10.1177/03000605211031063.
- Park CS, Lee SE, Cho HJ, Kim YJ, Kang HJ, Oh BH, Lee HY. Body fluid status assessment by bio-impedance analysis in patients presenting to the emergency department with dyspnea. Korean J Intern Med. 2018 Sep;33(5):911-921. doi: 10.3904/kjim.2016.358. Epub 2017 Dec 18.
- Yamazoe M, Mizuno A, Niwa K, Isobe M. Edema index measured by bioelectrical impedance analysis as a predictor of fluid reduction needed to remove clinical congestion in acute heart failure. Int J Cardiol. 2015 Dec 15;201:190-2. doi: 10.1016/j.ijcard.2015.07.086. Epub 2015 Jul 30. No abstract available.
- Genot N, Mewton N, Bresson D, Zouaghi O, Francois L, Delwarde B, Kirkorian G, Bonnefoy-Cudraz E. Bioelectrical impedance analysis for heart failure diagnosis in the ED. Am J Emerg Med. 2015 Aug;33(8):1025-9. doi: 10.1016/j.ajem.2015.04.021. Epub 2015 Apr 20.
- Gil Martinez P, Mesado Martinez D, Curbelo Garcia J, Cadinanos Loidi J. Amino-terminal pro-B-type natriuretic peptide, inferior vena cava ultrasound, and biolectrical impedance analysis for the diagnosis of acute decompensated CHF. Am J Emerg Med. 2016 Sep;34(9):1817-22. doi: 10.1016/j.ajem.2016.06.043. Epub 2016 Jun 14.
- Di Somma S, Lalle I, Magrini L, Russo V, Navarin S, Castello L, Avanzi GC, Di Stasio E, Maisel A. Additive diagnostic and prognostic value of bioelectrical impedance vector analysis (BIVA) to brain natriuretic peptide 'grey-zone' in patients with acute heart failure in the emergency department. Eur Heart J Acute Cardiovasc Care. 2014 Jun;3(2):167-75. doi: 10.1177/2048872614521756. Epub 2014 Jan 29.
- Dabrowski W, Kotlinska-Hasiec E, Schneditz D, Zaluska W, Rzecki Z, De Keulenaer B, Malbrain ML. Continuous veno-venous hemofiltration to adjust fluid volume excess in septic shock patients reduces intra-abdominal pressure. Clin Nephrol. 2014 Jul;82(1):41-50. doi: 10.5414/CN108015.
- Slobod D, Yao H, Mardini J, Natkaniec J, Correa JA, Jayaraman D, Weber CL. Bioimpedance-measured volume overload predicts longer duration of mechanical ventilation in intensive care unit patients. Can J Anaesth. 2019 Dec;66(12):1458-1463. doi: 10.1007/s12630-019-01450-4. Epub 2019 Jul 23.
- Colin-Ramirez E, Castillo-Martinez L, Orea-Tejeda A, Asensio Lafuente E, Torres Villanueva F, Rebollar Gonzalez V, Narvaez David R, Dorantes Garcia J. Body composition and echocardiographic abnormalities associated to anemia and volume overload in heart failure patients. Clin Nutr. 2006 Oct;25(5):746-57. doi: 10.1016/j.clnu.2006.01.009. Epub 2006 May 15.
- Gulatava N, Tabagari N, Tabagari S. BIOELECTRICAL IMPENDANCE ANALYSIS OF BODY COMPOSITION IN PATIENTS WITH CHRONIC HEART FAILURE. Georgian Med News. 2021 Jun;(315):94-98.
- 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. 2017 Sep;20(5):330-339. doi: 10.1097/MCO.0000000000000387.
- Tanaka S, Ando K, Kobayashi K, Seki T, Hamada T, Machino M, Ota K, Morozumi M, Kanbara S, Ito S, Ishiguro N, Hasegawa Y, Imagama S. Low Bioelectrical Impedance Phase Angle Is a Significant Risk Factor for Frailty. Biomed Res Int. 2019 Jun 10;2019:6283153. doi: 10.1155/2019/6283153. eCollection 2019.
- Varan HD, Bolayir B, Kara O, Arik G, Kizilarslanoglu MC, Kilic MK, Sumer F, Kuyumcu ME, Yesil Y, Yavuz BB, Halil M, Cankurtaran M. Phase angle assessment by bioelectrical impedance analysis and its predictive value for malnutrition risk in hospitalized geriatric patients. Aging Clin Exp Res. 2016 Dec;28(6):1121-1126. doi: 10.1007/s40520-015-0528-8. Epub 2016 Jan 19.
- Looijaard WGPM, Stapel SN, Dekker IM, Rusticus H, Remmelzwaal S, Girbes ARJ, Weijs PJM, Oudemans-van Straaten HM. Identifying critically ill patients with low muscle mass: Agreement between bioelectrical impedance analysis and computed tomography. Clin Nutr. 2020 Jun;39(6):1809-1817. doi: 10.1016/j.clnu.2019.07.020. Epub 2019 Aug 10.
- Moonen HPFX, Van Zanten ARH. Bioelectric impedance analysis for body composition measurement and other potential clinical applications in critical illness. Curr Opin Crit Care. 2021 Aug 1;27(4):344-353. doi: 10.1097/MCC.0000000000000840.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Chemically-Induced Disorders
- Pathologic Processes
- Metabolic Diseases
- Respiratory Tract Diseases
- Respiration Disorders
- Lung Diseases
- Disease Attributes
- Infant, Newborn, Diseases
- Signs and Symptoms, Respiratory
- Infant, Premature, Diseases
- Water-Electrolyte Imbalance
- Poisoning
- Chronic Disease
- Disease Progression
- Lung Diseases, Obstructive
- Pulmonary Disease, Chronic Obstructive
- Respiratory Insufficiency
- Hypoxia
- Respiratory Distress Syndrome
- Respiratory Distress Syndrome, Newborn
- Water Intoxication
Other Study ID Numbers
- KARIM-2022-BIVA
- SGS09/LF/2022 (Other Grant/Funding Number: University of Ostrava)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Septic Shock
-
German Center for Neurodegenerative Diseases (DZNE)University Hospital, BonnUnknownSevere Sepsis With Septic Shock | Severe Sepsis Without Septic ShockGermany
-
Laiba QamarRecruitingSeptic Shock | Fluid Refractory Septic ShockPakistan
-
University Medicine GreifswaldUnknownSepsis Septic ShockGermany
-
Indonesia UniversityCompletedSevere Sepsis With Septic Shock | Severe Sepsis Without Septic ShockIndonesia
-
Artcline GmbHRecruitingSepsis | Septic Shock | Immunoparalysis in Septic ShockGermany
-
Assistance Publique - Hôpitaux de ParisCompletedSeptic Shock HyperdynamicFrance
-
National Taiwan University HospitalBaxter Healthcare CorporationRecruiting
-
Charite University, Berlin, GermanyCompleted
-
Centre Hospitalier Universitaire DijonCompleted
-
Mansoura UniversityCompleted
Clinical Trials on Bioelectrical impedance vector analysis (BIVA)
-
Azienda Unita Sanitaria Locale Reggio EmiliaRecruitingAdenocarcinoma of Lung | Lung ResectionItaly
-
Instituto Nacional de Ciencias Medicas y Nutricion...Unknown
-
Hospital General Universitario Gregorio MarañonRecruiting
-
Hôpital Européen MarseilleCompletedLung Cancer | Gastrointestinal Cancer (Esophagus, Gastric, Pancreatic, Hepatic, Colorectal and Anal)France
-
Hospices Civils de LyonCompletedPost Operative Care After Cardiac Surgery With Cardio Pulmonary BypassFrance
-
Samuel Lunenfeld Research Institute, Mount Sinai...Active, not recruitingObesity | Apnea, Obstructive SleepCanada
-
Thammasat University HospitalCompletedEnd Stage Renal Disease on Dialysis | Intradialytic HypotensionThailand
-
Amsterdam UMC, location VUmcCompleted
-
Severance HospitalCompletedBreast Cancer LymphedemasKorea, Republic of
-
University Hospital MuensterUnknownMalnutrition | Inflammatory Bowel DiseaseGermany