Clinical prediction models for COVID-19: development, international validation and use
- Funded by Netherlands Organisation for Health Research and Development (ZonMW)
- Total publications:0 publications
Grant number: 1.043E+13
Grant search
Key facts
Disease
COVID-19Start & end year
20202021Known Financial Commitments (USD)
$171,319.2Funder
Netherlands Organisation for Health Research and Development (ZonMW)Principal Investigator
PendingResearch Location
NetherlandsLead Research Institution
Erasmus Medical CenterResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Disease susceptibility
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
Project description To be able to estimate the expected course of their disease is crucial for good care for COVID-19 patients. For example: should someone be admitted to intensive care (IC) and for how long? What is the probability of death? Research In this research, prediction models are developed that provide an answer to these questions upon admission to the hospital. Data is used for this from more than 4000 patients from seven Dutch hospitals. The models use a limited number of factors that are easily measurable, such as respiratory rate, so that the model is easy and direct to use in all Dutch hospitals. Discussions will also follow with care providers, patients and family members about how the models best meet their wishes. The model is available as decision support in a web application: https://mdmerasmusmc.shinyapps.io/COPE/ . Desired outcomes The prediction models can then be used by healthcare providers to make decisions about the optimal care for the patient in consultation with patients and their families. Results: https://doi.org/10.1101/2020.12.30.20249023