Analysis of Factors Influencing Downtime During Continuous Renal Replacement Therapy in Critically Ill Patients and Construction of a Prediction Model
Bingbing Pang, Jie Zhang, Yanshuo Wu, Qiaoju Kang, Kaihua Dong, Suzhi Guo, Yanling Yin · 2026
Read Analysis of Factors Influencing Downtime During Continuous Renal Replacement Therapy in Critically Ill Patients and Construction of a Prediction Model by Bingbing Pang, Jie Zhang, Yanshuo Wu, Qiaoju Kang, Kaihua Dong, Suzhi Guo, Yanling Yin (2026) 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-13522733.txt.
Description
Bingbing Pang and co-authors build a bedside chart to warn of lost time on a non-stop kidney filter. The filter cleans blood round the clock for the most ill patients, but clots and stops eat its dose. Long off time sours blood and tracks with worse odds. Their 2026 study mines five years of unit days in one Chinese ICU, just under six hundred days in all.
Off time tops the bar on near four in ten days. Five traits flag risky days on their own, drawn from labs, the circuit, and care facts. The chart built from them is scored for hit rate, fit, and ward worth. A plain chart lets nurses act pre-clot, not post-stop. The team frames it as a cheap guard for a pricey, life-held therapy.
Catalog record
| CREATOR | Bingbing Pang, Jie Zhang, Yanshuo Wu, Qiaoju Kang, Kaihua Dong, Suzhi Guo, Yanling Yin |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |