Classification of CSF samples from normal and post-partum psychotic women using chromatographic profiles with bilinear projections: a multivariate approach.

Abstract

This paper demonstrates how chromatographic profiles of cerebrospinal fluid (CSF) have been subjected to multivariate data analysis to discriminate between CSF samples from women with post-partum psychosis and those from healthy women. Instead of peak-heights or areas, digitally defined chromatographic profiles were examined using principal component analysis (PCA). In accordance with the diagnosis, we have found a complex profile pattern of at least ten composite peaks that discriminates between these groups. Two of these peaks were for the discrimination particularly clearly between the two groups. We speculate that these findings can be useful in the diagnosis of post-partum psychosis, increasing diagnostic precision and having both clinical and prognostic implications.