Individual assessment and classification of complex diseases by a data-based clinical disease profile

摘要

An tool and method is disclosed to assess disease activity and to classify complex diseases using basic clinical data. The tools and methods allow identifying and consulting affected individuals based on comprehensive bedside examinations and thus provide a basis for the personalized management of complex diseases.

主权项

1. A method for a data-based clinical disease profile assessment of a disease, the method being embodied in a computer program stored on a non-transitory computer readable storage medium, the computer program being configured to run on a computer processor, the method comprising:
creating, using the computer processor, a database stored on the non-transitory computer readable storage medium comprising a plurality of data records, wherein each data record comprises a number of measurable indicator parameters, wherein the data records are: either in a first set wherein the data are collected from a first group of individuals having said disease; or in a second set wherein the data are collected from a second group of individuals without said disease; the method further comprising: comparing, by the computer processor, said first set of data with said second set of data for each measurable indicator parameter; and selecting, by the computer processor, a profiling set for said disease activity as a sub record of said measurable indicator parameters including any of said measurable indicator parameters for which the comparison results in a statistically significant difference between data for said measurable indicator parameter from the first set and the second set, wherein the step of selecting comprises using a correlation set, wherein the correlation set is established on the basis of measurable indicator parameters from a relevant number of individuals that forms the basis to correlate members of said collection between measurable indicator parameters irrespective of whether or not statistically significant, using the computer processor, at least two differences of said measurable indicator parameters of the correlation set, wherein the profiling set only comprises parameters having a P-value of less than 0.5 in a statistical test comparing two groups, the statistical test comprising one of a Mann Whitney U test, a student t-test, or a X2 test, when comparison takes place; using the profiling set and the correlation set to permit personalized and targeted treatment of patients with complex diseases or with a risk of developing the complex diseases and/or to determine trends of a disease within a population, determining, using the computer processor, at least one activity score for at least one disease in a population comprising measuring the measurable indicator parameters of the profiling set for said population and determining said activity score of said disease in said population from an average of the sum of said profiling set, wherein said at least activity score is established in said population over time in predetermined time intervals to assess changes in said population for said disease over time.