Evidence map›Paper›PMID 27515162›Full record

Observational studyIntensive care medicine2016

Fat-free mass at admission predicts 28-day mortality in intensive care unit patients: the international prospective observational study Phase Angle Project.

Ronan Thibault, Anne-Marie Makhlouf, Aurélien Mulliez, M Cristina Gonzalez, Gintautas Kekstas, Nada Rotovnik Kozjek, Jean-Charles Preiser, Isabel Ceniceros Rozalen, Sylvain Dadet, Zeljko Krznaric and 5 more

3 registry-linked trialsAbstract readMulticenter StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Intensive care medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
10.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01907347 completednot on this map

Phase angle project

TypeobservationalSponsorUniversity Hospital, GenevaRan2013 to 2014Enrolled1,000ConditionsIntensive Care Unit Patients
NCT04262531 completednot on this mapstarted 2019, after this paper: background citation

Body Composition and Clinical Outcomes in Critically Ill Patients: A Prospective Observational Study

TypeobservationalSponsorUniversity of MalayaRan2019 to 2020Enrolled90ConditionsCritical Illness, Muscle Loss
NCT05991778 completednot on this mapstarted 2021, after this paper: background citation

Bioelectrical Impedance Vector Analysis (BIVA) in Monitoring Hyperhydration and Polyneuromyopathy in Critically Ill Patients

TypeobservationalSponsorUniversity Hospital OstravaRan2021 to 2022Enrolled61ConditionsRespiratory Distress Syndrome, Acute, Respiratory Insufficiency, Lung Ventilator, HyperhydrationArmsBioelectrical impedance vector analysis (BIVA), Blood and urine analysis, cumulative water balance
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 3 syntheses or guidelines pooled it, 143 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Phase angle and mortality: a systematic review.European journal of clinical nutrition · 2019
    Pooled it
  4. Observational
  5. Article
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  8. Article
  9. Review
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  11. Article
  12. Skeletal muscle dysfunction with advancing age.Clinical science (London, England : 1979) · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Optimizing Nutrient Uptake in the Critically Ill: Insights into Malabsorption Management.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2024
    Article
  18. Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 11 institutions in 10 countries.

Ronan ThibaultNutrition Unit, Geneva University Hospitals, Geneva, Switzerland. ronan.thibault@chu-rennes.fr.
Anne-Marie MakhloufNutrition Unit, Geneva University Hospitals, Geneva, Switzerland.
Aurélien MulliezDepartment of Biostatistics, Direction of Clinical Research and Innovation (DRCI), CHU Clermont-Ferrand, Clermont-Ferrand, France.
M Cristina GonzalezPost-graduate Program in Health and Behavior, Catholic University of Pelotas, Pelotas, RS, Brazil.
Gintautas KekstasDepartment of Intensive Care, Vilnius University Hospital, Vilnius, Lithuania.
Nada Rotovnik KozjekClinical Nutrition Unit, Institute of Oncology, Ljubljana, Slovenia.
Jean-Charles PreiserDepartment of Intensive Care, Hôpital Universitaire Erasme, Brussels, Belgium.
Isabel Ceniceros RozalenDepartment of Intensive Care, Clinic USP Palmaplanas, Palma de Majorque, Spain.
Sylvain DadetDepartment of Nutrition, CHU Clermont-Ferrand, Clermont-Ferrand, France.
Zeljko KrznaricDepartement of Internal Medicine, University Hospital Center Zagreb, Zagreb, Croatia.
Kinga KupczykDepartment of Anesthesiology and Intensive Care, University Hospital No. 1, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland.
Fabienne TamionDepartment of Intensive Care, CHU Rouen, Rouen, France.
Noël CanoCentre de Recherche en Nutrition Humaine d'Auvergne (CRNH), CHU Clermont-Ferrand, Clermont-Ferrand, France.
Claude PichardNutrition Unit, Geneva University Hospitals, Geneva, Switzerland.
Phase Angle Project Investigators
Vilnius University · LTCentre Hospitalier Universitaire de Clermont-Ferrand · FRHôpital Beau-Séjour · CHCentre Hospitalier Universitaire de Rouen · FRClinica Rotger · ESErasmus Hospital · BEInserm · FRInstitute of Oncology Ljubljana · SINicolaus Copernicus University · PLUniversidade Católica de Pelotas · BRUniversity Hospital Centre Zagreb · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePhase angle as measured by bioelectrical impedance analysis reflects fat-free mass. Fat-free mass loss relates to worse prognosis in chronic diseases. Primary aim of this study was: to determine the association between fat-free mass at intensive care unit admission and 28-day mortality.

methodsTen centres in nine countries participated in this multicentre prospective observational study. The inclusion criteria were age >18 years; expected length of stay >48 h; absence of pacemaker, heart defibrillator implant, pregnancy and lactation. Fat-free mass was assessed by measurement of the 50-kHz phase angle at admission. The primary endpoint was 28-day mortality. The area under the receiver operating characteristic curve (AUC) was used to assess prediction of 28-day mortality by fat-free mass at ICU admission. The variables associated with 28-day mortality were analysed by means of multivariable logistic regression.

resultsOf the 3605 patients screened, 931 were analysed: age 61 ± 16 years, male 60 %, APACHE II 19 ± 9, body mass index 26 ± 6, day 1 phase angle 4.5° ± 1.9°. Day 1 phase angle was lower in patients who eventually died than in survivors (4.1° ± 2.0° vs. 4.6° ± 1.8°, P = 0.001). The day 1 phase angle AUC for 28-day mortality was 0.63 [0.58-0.67]. In multivariable analysis, the following were independently associated with 28-day mortality: age (adjusted odds ratio (aOR) 1.014 [95 % confidence interval 1.002-1.027], P = 0.03), day 1 phase angle (aOR 0.86 [0.78-0.96], P = 0.008), APACHE II (aOR 1.08 [1.06-1.11], P < 0.001), surgical patient (aOR 0.51 [0.33-0.79], P = 0.002), and admission for other diagnosis (aOR 0.39 [0.21-0.72], P = 0.003). A multivariable combined score improved the predictability of 28-day mortality: AUC = 0.79 [0.75-0.82].

conclusionLow fat-free mass at ICU admission is associated with 28-day mortality. A combined score improves mortality predictability.

trial registrationNCT01907347 ( http://www.clinicaltrials.gov ).

Indexed as

Body CompositionElectric ImpedanceHospital MortalityAdultAgedAged, 80 and overAPACHEArea Under CurveBody Mass IndexCritical IllnessFemaleHumansIntensive Care UnitsMaleMiddle AgedPredictive Value of TestsBioelectrical impedance analysisBody compositionCritical care outcomesCritical illnessSeverity of illness index

Identifiers

PMID27515162
OpenAlexW2518089696

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.