PNASJClub
Revised estimates of types and duration of long COVID symptoms based on claims records from 245 million US patients.
Proceedings of the National Academy of Sciences · · Journal Article
Nilforoshan, Reisler + more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
A testing-based claims analysis of 244.7 million US patients finds long COVID symptom attributability drops sharply versus unrestricted controls: 83.5% fewer at 30–119 d, 98.2% at 120–359 d, and 100% at 360–719 d.
- Why it matters: Unrestricted test-positive versus uninfected controls can be biased by selective testing, misattributing long-term effects of non-COVID conditions to COVID-19.
- What they did: Using 14.4 billion insurance claims, the study analyzed 614 clinical outcomes over 2 years, comparing test-positive to test-negative patients among tested individuals.
- The result: The testing-based design reduced attributable symptoms (43 vs. 262 at 30–119 d; 5 vs. 286 at 120–359 d; 0 vs. 369 at 360–719 d) and avoided unrelated outcomes being attributed to COVID-19, implying attributability beyond one year is uncertain.
The findingWhy it mattersWhat they didThe result