Meeting 1: Mr. Sean Coady (NHLBI Depty Branch Chief)

Sean Coady is the Deputy Branch Chief at the National Heart, Lung, and Blood Institute.
​
Research Paper through which I contacted him:
​
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673738/ https://pubmed.ncbi.nlm.nih.gov/23750335/
​
His Info:
https://jacksonheartstudy.umc.edu/directory/EmployeeDetail.aspx?EmployeeID=2620
​
Recorded Meeting Link: https://youtu.be/Mf0c1xBMr68
​
Transcript Link:
https://docs.google.com/document/d/1ee5PYXvgsqlF6OSbukzEBwN-eSRsuIcLROSyv29PGmU/edit?usp=sharing
​
Limitations/Potential Flaws:
​
-
Generalizability Issues: As we have seen with other risk prediction models, we tend to stratify by race. Relationships between particular risk factors and cardiovascular outcomes can differ in terms of how strong the absolute magnitude of the association of that risk factor is with the outcome.
-
Failure to account for an important confounder.
-
Extreme observations are truncated so that the person is not identifiable. With the FHS, it’s very important to protect participant confidentiality.
Positives:
​
-
The data can be used for a wide variety of things, such as hypertension incidence, stroke, heart failure, and declines in condition over time. There’s a wide range of outcomes in terms of prediction.
-
There are CT scans relating to pulmonary function which could be used as well.
-
The FHS dataset is a nice example of natural history without interventions.
​
​