Construction and validation of risk prediction model for gastrointestinal bleeding in patients after coronary artery bypass grafting
Mei Yang, Shuyu Zhan, Han Gao, Caiyun Liao, Shisi Li · 2023
Read Construction and validation of risk prediction model for gastrointestinal bleeding in patients after coronary artery bypass grafting by Mei Yang, Shuyu Zhan, Han Gao, Caiyun Liao, Shisi Li (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10713607.txt.
Description
Mei Yang and co-authors build in 2023 a model that predicts gut bleeding after heart bypass surgery. Such bleeding is a serious risk after the operation. The team studied 232 patients who had the surgery in 2022, of whom fifty two bled, and searched for factors that set the two groups apart.
Four factors stood out on their own: time in intensive care, time on a bypass machine, time the aorta was clamped, and repeat surgery. A model built on those factors was checked in a second group of 161 patients from the next year. Scores that rate how well a model separates cases suggest it can help flag high risk patients early.
Catalog record
| CREATOR | Mei Yang, Shuyu Zhan, Han Gao, Caiyun Liao, Shisi Li |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 26 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |