Predictive Factors and Risk Assessment for Hospitalization in Chest Pain Patients Admitted to the Emergency Department
Nadya Kagansky, David Mazor, Ayashi Wajdi, Yulia Maler Yaron, Miya Sharfman, Tomer Ziv Baran, Dana Kagansky, Gal Pachys, Yochai Levy, Daniel Trotzky · 2024
Read Predictive Factors and Risk Assessment for Hospitalization in Chest Pain Patients Admitted to the Emergency Department by Nadya Kagansky, David Mazor, Ayashi Wajdi, Yulia Maler Yaron, Miya Sharfman, Tomer Ziv Baran, Dana Kagansky, Gal Pachys, Yochai Levy, Daniel Trotzky (2024) 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-11640250.txt.
Description
Nadya Kagansky and colleagues published a 2024 study of chest pain decisions in emergency departments. Chest pain brings huge numbers to emergency care. Many cases remain unclear after first tests. Doctors must choose admission or discharge. The team reviewed four hundred patient records.
Most patients had been referred by primary care. About three in five went home. Admitted patients were notably older. Night-shift arrivals were admitted more often. High blood fats predicted admission strongly. Risk scores and lab results also mattered. Knowing decision drivers can standardize triage. It may also reveal where caution outweighs the evidence.
Catalog record
| CREATOR | Nadya Kagansky, David Mazor, Ayashi Wajdi, Yulia Maler Yaron, Miya Sharfman, Tomer Ziv Baran, Dana Kagansky, Gal Pachys, Yochai Levy, Daniel Trotzky |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |