Claims-Based Phenotyping of Acute Kidney Transplant Rejection in a National Medicare Cohort
Cameron Ekanayake, Miko Yu, Karthik Natarajan, Syed A Husain, Chetan Sree Muppavarapu, Jesse Schold, Sumit Mohan · 2026
Read Claims-Based Phenotyping of Acute Kidney Transplant Rejection in a National Medicare Cohort by Cameron Ekanayake, Miko Yu, Karthik Natarajan, Syed A Husain, Chetan Sree Muppavarapu, Jesse Schold, Sumit Mohan (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-13677584.txt.
Description
Cameron Ekanayake and co-authors (2026) show that billing claims can sort kidney transplant rejection into clear types. Registries record rejection coarsely, which blocks large studies of its forms. The team used national Medicare data on 92,845 patients from 2012 to 2021. Their rules flagged rejection when claim codes came with anti-rejection treatment within two weeks. Treatment strength split cases into mild or severe cellular rejection, antibody-mediated rejection, or a mixed type.
They found 5,712 cases. Mild cellular rejection made up about seventy percent. Among biopsy-backed cases, three-year graft survival split by type. The mild cellular type kept about 88 percent of grafts working. The mixed type kept only about 68 percent. The gaps stayed after weighing donor and patient traits. The authors say claims phenotyping can power national rejection tracking at a detail those records lack. That opens outcome studies by subtype with no new data needed.
Catalog record
| CREATOR | Cameron Ekanayake, Miko Yu, Karthik Natarajan, Syed A Husain, Chetan Sree Muppavarapu, Jesse Schold, Sumit Mohan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |