edoc-vmtest

Time-dependent Cox regression: serial measurement of the cardiovascular biomarker proadrenomedullin improves survival prediction in patients with lower respiratory tract infection

Hartmann, O. and Schuetz, P. and Albrich, W. C. and Anker, S. D. and Mueller, B. and Schmidt, T.. (2012) Time-dependent Cox regression: serial measurement of the cardiovascular biomarker proadrenomedullin improves survival prediction in patients with lower respiratory tract infection. International Journal of Cardiology, 161 (3). pp. 166-173.

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Official URL: http://edoc.unibas.ch/56793/

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Abstract

BACKGROUND: The aim of this study was to determine the prognostic utility of serial measurement of the cardiovascular biomarker midregion proadrenomedullin (MR-proADM) in patients admitted with lower respiratory tract infection. In a previous trial in dyspneic patients (BACH trial) we could show that serial measurement of MR-proADM proves useful for risk assessment and patient monitoring. Models designed to evaluate serial biomarker measurements usually fail to answer two fundamental questions necessary to judge their clinical relevance: whether serial measurements provide additional information on top of the first measurement, and, if yes, at which time point a re-evaluation may be clinically useful. METHOD: We apply an adapted time-dependent Cox model to data from the ProHosp trial, a prospective trial, which was observational in regards to application of prognostic biomarkers, where blood draws for biomarker evaluation were collected at day of patient inclusion, days 3, 5 and 7. In this trial, the cardiovascular biomarker MR-proADM was evaluated for its ability to predict survival in comparison to clinical risk scores. RESULTS: With the adapted time-dependent Cox model, we could demonstrate a significant added value of the follow up measurements on top of that obtained on admission. Despite a high correlation between serial measurements, the gain can be observed as early as 3 days after inclusion. We illustrate the added prognostic value and clinical relevance of re-evaluation via Kaplan-Meier plots. CONCLUSION: We could demonstrate that the prognostic biomarker MR-proADM can potentially serve as a outcome monitoring marker in patients admitted with lower respiratory tract infections.
Faculties and Departments:03 Faculty of Medicine > Bereich Medizinische Fächer (Klinik) > Allgemeine innere Medizin AG > Argovia Professur für Medizin (Müller)
03 Faculty of Medicine > Departement Klinische Forschung > Bereich Medizinische Fächer (Klinik) > Allgemeine innere Medizin AG > Argovia Professur für Medizin (Müller)
UniBasel Contributors:Müller, Beat
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:0167-5273
e-ISSN:1874-1754
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:30 Nov 2017 11:30
Deposited On:30 Nov 2017 11:30

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