Construction of a digital twin of chronic graft vs. host disease patients with standard of care.
Gen LiYi-Bin ChenJonathan PeacheyPublished in: Bone marrow transplantation (2024)
There is an unmet medical need for new clinical trials to evaluate novel therapies in chronic graft-versus-host disease (cGvHD). Disease rarity, ethical issues regarding placebo arms, time, and cost impede clinical trial conduct. Digital twin (DT) technology enables virtual clinical trial arm construction using historical data, circumventing these obstacles. We evaluated the feasibility of constructing a DT trial arm using a large database of real-world clinical trial data and performed an efficacy assessment of a standard-of-care (SOC) drug to examine agreement with literature data. We constructed a flGvHD DT cohort (cGvHD patients at first-line treatment) (2042 patients; 32 cohorts) using the Trial Acceleratorâ„¢ Digital Twin platform and derived an SOC arm from this cohort (flGvHD DT SOC cohort) (438 patients; eight cohorts); we analyzed the efficacy of SOC (prednisone) (overall response rate (ORR)) at six months. Our analysis results are in agreement with literature: flGvHD DT: disease onset time: 7.58 months post-allogeneic hematopoietic cell transplantation; most used graft source: peripheral blood stem cells; flGvHD DT SOC: ORR at six months for prednisone: 52.7%. It is feasible to construct a DT cohort using existing clinical trial data; a DT SOC arm can potentially replace a control arm in clinical trials.
Keyphrases
- clinical trial
- phase ii
- phase iii
- end stage renal disease
- stem cells
- study protocol
- double blind
- healthcare
- electronic health record
- open label
- newly diagnosed
- ejection fraction
- chronic kidney disease
- systematic review
- peripheral blood
- emergency department
- prognostic factors
- palliative care
- stem cell transplantation
- patient reported outcomes
- bone marrow
- machine learning
- decision making
- placebo controlled
- low dose
- artificial intelligence