A1002
Title: Disease burden curve for multi-type recurrent events data
Authors: Lihui Zhao - Northwestern University (United States) [presenting]
Abstract: A new method is introduced for evaluating the health history of a patient through the use of multi-type recurrent events data, which can aid in the assessment of disease progression and quality of life in a healthcare setting. The disease burden score (DBS) is characterized as the area under the disease burden curve (DBC), a monotone, increasing stepwise graph that measures the weighted or unweighted number of health events that occur during a patient's follow-up period (i.e., cardiovascular events or decompensation events). This measure is not only a valuable tool in cases where death data is not available or reliable but also as an interim measurement when death is infrequent. A DBS can be computed for all patients present in the data and thus can be used as a means of comparing subgroups and as the outcome variable in regression. The performance of the method is evaluated in simulation studies, and the applications are illustrated with an EHR dataset.
