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Clinical Trial
. 2018 Jan 18;22(1):8.
doi: 10.1186/s13054-017-1922-8.

Determinants of long-term outcome in ICU survivors: results from the FROG-ICU study

Affiliations
Clinical Trial

Determinants of long-term outcome in ICU survivors: results from the FROG-ICU study

Etienne Gayat et al. Crit Care. .

Abstract

Background: Intensive care unit (ICU) survivors have reduced long-term survival compared to the general population. Identifying parameters at ICU discharge that are associated with poor long-term outcomes may prove useful in targeting an at-risk population. The main objective of the study was to identify clinical and biological determinants of death in the year following ICU discharge.

Methods: FROG-ICU was a prospective, observational, multicenter cohort study of ICU survivors followed 1 year after discharge, including 21 medical, surgical or mixed ICUs in France and Belgium. All consecutive patients admitted to intensive care with a requirement for invasive mechanical ventilation and/or vasoactive drug support for more than 24 h following ICU admission and discharged from ICU were included. The main outcome measure was all-cause mortality at 1 year after ICU discharge. Clinical and biological parameters on ICU discharge were measured, including the circulating cardiovascular biomarkers N-terminal pro-B type natriuretic peptide, high-sensitive troponin I, bioactive-adrenomedullin and soluble-ST2. Socioeconomic status was assessed using a validated deprivation index (FDep).

Results: Of 1570 patients discharged alive from the ICU, 333 (21%) died over the following year. Multivariable analysis identified age, comorbidity, red blood cell transfusion, ICU length of stay and abnormalities in common clinical factors at the time of ICU discharge (low systolic blood pressure, temperature, total protein, platelet and white cell count) as independent factors associated with 1-year mortality. Elevated biomarkers of cardiac and vascular failure independently associated with 1-year death when they are added to multivariable model, with an almost 3-fold increase in the risk of death when combined (adjusted odds ratio 2.84 (95% confidence interval 1.73-4.65), p < 0.001).

Conclusions: The FROG-ICU study identified, at the time of ICU discharge, potentially actionable clinical and biological factors associated with poor long-term outcome after ICU discharge. Those factors may guide discharge planning and directed interventions.

Trial registration: ClinicalTrials.gov NCT01367093 . Registered on 6 June 2011.

Keywords: Biomarkers; Discharge; Long-term survival; Post-intensive care syndrome; Score.

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Conflict of interest statement

Ethics approval and consent to participate

The study was conducted in France and Belgium in accordance with Good Clinical Practice (Declaration of Helsinki 2002) and Ethical Committee approvals (Comité de Protection des Personnes—Ile de France IV, IRB n°00003835 and Commission d’éthique biomédicale hospitalo-facultaire de l’hôpital de Louvain, IRB n°B403201213352).

Consent for publication

Not applicable

Competing interests

EG received research grant from Sphingotec, and consultancy fees from Magnisense and Roche Diagnostics. AM received speaker’s honoraria from Abbott, Novartis, Orion, Roche and Servier, and fees as a member of the advisory board and/or Steering Committee from Cardiorentis, Adrenomed, MyCartis, Neurotronik and Sphyngotec. The remaining authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Study flow chart. *Including 27 patients with limitation of life support. ICU intensive care unit
Fig. 2
Fig. 2
Clinical predictors of 1-year post-ICU survival. Area under the ROC curve of the multivariable model including the 14 variables is 0.787 (95% CI 0.759–0.815). RBC red blood cell transfusion, ICU intensive care unit, LOS length of stay, SBP systolic blood pressure, WBC white blood cell, Ref reference, OR odds ratio, CI confidence interval
Fig. 3
Fig. 3
Performance of cardiovascular biomarkers at ICU discharge to predict 1-year post-ICU survival. a Kaplan–Meier curves of patients discharged alive from the ICU according to the number of cardiovascular biomarkers elevated at discharge from the ICU. b Odds ratios for the risk of 1-year mortality according to the number of cardiovascular biomarkers elevated at discharge from the ICU. Biomarkers included NT-proBNP, sST2 and bio-ADM. Nonadjusted OR are presented as black squares and OR adjusted for the 14 variables of the multivariable model as white circles. OR odds ratio, CI confidence interval

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