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ABSTRACT: Objectives
We introduced statistical twin as aggregates of multiple virtual patients' data throughout the treatment at any chosen time point. The goal of this manuscript was to provide the proof of concept of statistical twin by evaluating the feasibility of detection of distinctive aggregates of patients throughout the perioperative trajectory (prerequisite for development of statistical twin).Methods
We used a retrospective validated cohort of all comers with mitral valve disease treated (2014-2020) at a tertiary academic hospital. The end point was overall survival based on the decision of the heart team. We applied two-step cluster analysis to detect distinct aggregated virtual patients throughout the process of care.Results
The cluster procedure resulted in 5 d
SUBMITTER: Sardari Nia P
PROVIDER: S-EPMC11001486 | biostudies-literature | 2024 Mar
REPOSITORIES: biostudies-literature