Format

Send to

Choose Destination
Eur Psychiatry. 2018 Apr;50:34-39. doi: 10.1016/j.eurpsy.2017.10.004. Epub 2018 Feb 3.

Personalized risk prediction of postoperative cognitive impairment - rationale for the EU-funded BioCog project.

Author information

1
Experimental and Clinical Research Center (ECRC), Charité - Universitätsmedizin Berlin, Berlin, Germany; Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany; Pharmaimage Biomarker Solutions GmbH, Berlin, Germany. Electronic address: Georg.winterer@charite.de.
2
Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Luxembourg, Luxembourg.
3
Koordinierungszentrum Klinische Studien (KKS), Charité - Universitätsmedizin Berlin, Berlin, Germany.
4
Institute of Protein Biochemistry, Consiglio Nazionale delle Ricerche (CNR) di Pisa, Pisa, Italy.
5
Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
6
Immundiagnostik AG, Bensheim, Germany.
7
Molecular Epidemiology, Max-Delbrück Center (MDC), Berlin, Germany.
8
Behavioural and Clinical Neurosciences Institute, Department of Medicine, University of Cambridge, Cambridge, UK.
9
Department of Psychiatry, University of Hamburg, Hamburg, Germany.
10
Berlin Center for Advanced Neuroimaging (BCAN), Berlin, Germany.
11
Institute of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
12
Department of Radiology and Brain Center Rudolf Magnus, University Medical Center Utrecht (UMC), Utrecht, Netherlands.
13
Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany.
14
Department of Intensive Care Medicine and Brain Center Rudolf Magnus, University Medical Center Utrecht (UMC), Utrecht, Netherlands.
15
Berlin Institute of Health (BIH), Berlin, Germany.
16
Pharmaimage Biomarker Solutions GmbH, Berlin, Germany; Behavioural and Clinical Neurosciences Institute, Department of Medicine, University of Cambridge, Cambridge, UK; Max-Planck Inst. for Human Development, Berlin, Germany.
17
Atlas Biolabs GmbH, Berlin, Germany; Cologne Center for Genomics (CCG), University of Cologne, Cologne, Germany.
18
Cellogic GmbH (Cellogic), Berlin, Germany.
19
Department of Anesthesiology, Cambridge University Hospitals NHS Foundation Trust (CUH), Cambridge, UK.
20
ALTA Ricerca e Sviluppo in Bioecnologie Srlu (ALTA), Siena, Italy.
21
Experimental and Clinical Research Center (ECRC), Charité - Universitätsmedizin Berlin, Berlin, Germany; Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.
22
Institute of Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
23
Experimental and Clinical Research Center (ECRC), Charité - Universitätsmedizin Berlin, Berlin, Germany; Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany; Pharmaimage Biomarker Solutions GmbH, Berlin, Germany.

Abstract

Postoperative cognitive impairment is among the most common medical complications associated with surgical interventions - particularly in elderly patients. In our aging society, it is an urgent medical need to determine preoperative individual risk prediction to allow more accurate cost-benefit decisions prior to elective surgeries. So far, risk prediction is mainly based on clinical parameters. However, these parameters only give a rough estimate of the individual risk. At present, there are no molecular or neuroimaging biomarkers available to improve risk prediction and little is known about the etiology and pathophysiology of this clinical condition. In this short review, we summarize the current state of knowledge and briefly present the recently started BioCog project (Biomarker Development for Postoperative Cognitive Impairment in the Elderly), which is funded by the European Union. It is the goal of this research and development (R&D) project, which involves academic and industry partners throughout Europe, to deliver a multivariate algorithm based on clinical assessments as well as molecular and neuroimaging biomarkers to overcome the currently unsatisfying situation.

KEYWORDS:

Molecular biomarkers; Multivariate prediction algorithm; Neuroimaging; Postoperative cognitive dysfunction; Postoperative delirium

PMID:
29398565
DOI:
10.1016/j.eurpsy.2017.10.004
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center