Prognostic Value of Claims Data for Chronic Kidney Disease-Associated Health Risks
Sebastian Schwab, Volquart Stoy, Olga Dortmann, Janika Raudzus, Thomas Mayrhofer, Sibylle von Vietinghoff · 2026
Read Prognostic Value of Claims Data for Chronic Kidney Disease-Associated Health Risks by Sebastian Schwab, Volquart Stoy, Olga Dortmann, Janika Raudzus, Thomas Mayrhofer, Sibylle von Vietinghoff (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/PMC13592793.txt.
Description
Sebastian Schwab and five colleagues test, in 2026, whether insurance billing data alone can forecast kidney disease outcomes. Lab values drive most risk models, yet records often lack them. Their cohort held 29,144 insured people in Germany with stage three or four chronic kidney disease in 2016. Billing codes over the next six years fed forecasts for dialysis, death, hospital stays, and drug prescriptions.
Claims patterns predicted dialysis well and death very sharply, with weaker but real signal for kidney injury admissions and intensive care. Adding disease stage lifted every forecast. Two drug classes tied to prescriptions also tracked with better kidney and heart outcomes. Schwab and the team say claims data carry genuine prognostic weight even with no lab numbers attached.
Catalog record
| CREATOR | Sebastian Schwab, Volquart Stoy, Olga Dortmann, Janika Raudzus, Thomas Mayrhofer, Sibylle von Vietinghoff |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |