Modeling mortality prediction in older adults with dementia receiving COVID-19 vaccination.

ABSTRACT:

Objective

This study compared COVID-19 outcomes between vaccinated and unvaccinated older adults with and without cognitive impairment.

Method

Electronic health records from Israel from March 2020-February 2022 were analyzed for a large cohort (N = 85,288) aged 65 + . Machine learning constructed models to predict mortality risk from patient factors. Outcomes examined were COVID-19 mortality and hospitalization post-vaccination.

Results

Our study highlights the significant reduction in mortality risk among older adults with cognitive disorders following COVID-19 vaccination, showcasing a survival rate improvement to 93%. Utilizing machine learning for mortality prediction, we found the XGBoost model, enhanced with inverse probability of treatment weighting, to be the

SUBMITTER: Radomyslsky Z 

PROVIDER: S-EPMC11127399 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature