Long-COVID incidence proportion in adults and children between 2020 and 2024, 2025, Mandel et al.

Long-COVID incidence proportion in adults and children between 2020 and 2024
Mandel, Hannah; Yoo, Yun J; Allen, Andrea J; Abedian, Sajjad; Verzani, Zoe; Karlson, Elizabeth W; Kleinman, Lawrence C; Mudumbi, Praveen C; Oliveira, Carlos R; Muszynski, Jennifer A; Gross, Rachel S; Carton, Thomas W; Kim, C; Taylor, Emily; Park, Heekyong; Divers, Jasmin; Kelly, J Daniel; Arnold, Jonathan; Geary, Carol Reynolds; Zang, Chengxi; Tantisira, Kelan G; Rhee, Kyung E; Koropsak, Michael; Mohandas, Sindhu; Vasey, Andrew; Mohammad Mosa, Abu Saleh; Haendel, Melissa; Chute, Christopher G; Murphy, Shawn N; O'Brien, Lisa; Szmuszkovicz, Jacqueline; Guthe, Nicholas; Santana, Jorge L; De, Aliva; Bogie, Amanda L; Halabi, Katia C; Mohanraj, Lathika; Kinser, Patricia A; Packard, Samuel E; Tuttle, Katherine R; Hirabayashi, Kathryn; Kaushal, Rainu; Pfaff, Emily; Weiner, Mark G; Thorpe, Lorna E; Moffitt, Richard A; on behalf of the RECOVER EHR Cohort

BACKGROUND
Incidence estimates of post-acute sequelae of SARS-CoV-2 infection, also known as long-COVID, have varied across studies and changed over time. We estimated long-COVID incidence among adult and pediatric populations in three nationwide research networks of electronic health records (EHR) participating in the RECOVER Initiative using different classification algorithms (computable phenotypes).

METHODS
This EHR-based retrospective cohort study included adult and pediatric patients with documented acute SARS-CoV-2 infection and two control groups--contemporary COVID-19 negative and historical patients (2019). We examined the proportion of individuals identified as having symptoms or conditions consistent with probable long-COVID within 30-180 days after COVID-19 infection (incidence proportion). Each network (the National COVID Cohort Collaborative (N3C), National Patient-Centered Clinical Research Network (PCORnet), and PEDSnet) implemented its own long-COVID definition. We introduced a harmonized definition for adults in a supplementary analysis.

RESULTS
Overall, 4% of children and 10-26% of adults developed long-COVID, depending on computable phenotype used. Excess incidence among SARS-CoV-2 patients was 1.5% in children and ranged from 5-6% among adults, representing a lower-bound incidence estimation based on our control groups. Temporal patterns were consistent across networks, with peaks associated with introduction of new viral variants.

CONCLUSION
Our findings indicate that preventing and mitigating long-COVID remains a public health priority. Examining temporal patterns and risk factors of long-COVID incidence informs our understanding of etiology and can improve prevention and management.

Link | PDF (Clinical Infectious Diseases) [Open Access]

 

Given the lack of testing, the control group is bound to be contaminated with undetected infections. 5-6 % lower bound prevalence of LC within 180 days is equivialent to ~17-20 million Americans.

 

Well, I guess being 459390745367390th on the list of priorities while most physicians pretend that it doesn't exist is a priority. Just like pear is a shape can be a thing to say about someone being in good shape.