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. 2016 Jun 20:4.
doi: 10.3402/jmahp.v4.30725. eCollection 2016.

Validation of disease states in schizophrenia: comparison of cluster analysis between US and European populations

Katia Thokagevistk  1 , Aurélie Millier  1 , Leslie Lenert  2 , Shamil Sadikhov  3 , Santiago Moreno  3 , Mondher Toumi  4
Affiliations

Validation of disease states in schizophrenia: comparison of cluster analysis between US and European populations

Katia Thokagevistk et al. J Mark Access Health Policy. .

Abstract

Background: There is controversy as to whether use of statistical clustering methods to identify common disease patterns in schizophrenia identifies patterns generalizable across countries.

Objective: The goal of this study was to compare disease states identified in a published study (Mohr/Lenert, 2004) considering US patients to disease states in a European cohort (EuroSC) considering English, French, and German patients.

Methods: Using methods paralleling those in Mohr/Lenert, we conducted a principal component analysis (PCA) on Positive and Negative Syndrome Scale items in the EuroSC data set (n=1,208), followed by k-means cluster analyses and a search for an optimal k. The optimal model structure was compared to Mohr/Lenert by assigning discrete severity levels to each cluster in each factor based on the cluster center. A harmonized model was created and patients were assigned to health states using both approaches; agreement rates in state assignment were then calculated.

Results: Five factors accounting for 56% of total variance were obtained from PCA. These factors corresponded to positive symptoms (Factor 1), negative symptoms (Factor 2), cognitive impairment (Factor 3), hostility/aggression (Factor 4), and mood disorder (Factor 5) (as in Mohr/Lenert). The optimal number of cluster states was six. The kappa statistic (95% confidence interval) for agreement in state assignment was 0.686 (0.670-0.703).

Conclusion: The patterns of schizophrenia effects identified using clustering in two different data sets were reasonably similar. Results suggest the Mohr/Lenert health state model is potentially generalizable to other populations.

Keywords: Europe; USA; disease states; outcome assessment; schizophrenia; validation.

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Figures

Fig. 1
Fig. 1
Root-mean-squared errors (RMSE) and rate of decrease by number of clusters.
See this image and copyright information in PMC

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