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Extending the scope of pooled analyses of individual patient biomarker data from heterogeneous laboratory platforms and cohorts using merging algorithms

By Órlaith Burke, Samantha Benton, Pawel Szafranski, Peter von Dadelszen, S. Catalin Buhimschi, Irene Cetin, Lucy Chappell, Francesc Figueras, Alberto Galindo, Ignacio Herraiz, Claudia Holzman, Carl Hubel, Ulla Knudsen, Camilla Kronborg, Hannele Laivuori, Olav Lapaire, Thomas McElrath, Manfred Moertl, Jenny Myers, Roberta B. Ness, Leandro Oliveira, Gayle Olson, Lucilla Poston, Carrie Ris-Stalpers, James M. Roberts, Sarah Schalekamp-Timmermans, Dietmar Schlembach, Eric Steegers, Holger Stepan, Vassilis Tsatsaris, Joris A. van der Post, Stefan Verlohren, Pia M. Villa, David Williams, Harald Zeisler, Christopher W. G. Redman and Anne Cathrine Staff


A common challenge in medicine, exemplified in the analysis of biomarker data, is that large studies are needed for sufficient statistical power. Often, this may only be achievable by aggregating multiple cohorts. However, different studies may use disparate platforms for laboratory analysis, which can hinder merging. Using circulating placental growth factor (PlGF), a potential biomarker for hypertensive disorders of pregnancy (HDP) such as preeclampsia, as an example, we investigated how such issues can be overcome by inter-platform standardization and merging algorithms. We studied 16,462 pregnancies from 22 study cohorts. PlGF measurements (gestational age ⩾20 weeks) analyzed on one of four platforms: R&D Systems, AlereTriage, RocheElecsys or AbbottArchitect, were available for 13,429 women. Two merging algorithms, using Z-Score and Multiple of Median transformations, were applied. Best reference curves (BRC), based on merged, transformed PlGF measurements in uncomplicated pregnancy across six gestational age groups, were estimated. Identification of HDP by these PlGF-BRCs was compared to that of platform-specific curves. We demonstrate the feasibility of merging PlGF concentrations from different analytical platforms. Overall BRC identification of HDP performed at least as well as platform-specific curves. Our method can be extended to any set of biomarkers obtained from different laboratory platforms in any field. Merged biomarker data from multiple studies will improve statistical power and enlarge our understanding of the pathophysiology and management of medical syndrome

Year: 2016
DOI identifier: 10.1016/j.preghy.2015.12.002
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Provided by: NARCIS
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