ArticleJournal of clinical medicine2023
Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 Infection (PASC) in a Large Academic Medical Center in the US.
Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 26 citations in OpenAlex.
- Blood pro-thrombotic analytes and platelet activation are associated with post-acute sequelae of COVID-19.BMC infectious diseases · 2025Observational
- Identifying Pediatric Long COVID: Comparing an EHR Algorithm to Manual Review.Applied clinical informatics · 2025Article
- Extracting post-acute sequelae of SARS-CoV-2 infection symptoms from clinical notes via hybrid natural language processing.npj health systems · 2025Article
- Long COVID Incidence Proportion in Adults and Children Between 2020 and 2024: An Electronic Health Record-Based Study From the RECOVER Initiative.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025Article
- Vascular Pathogenesis in Acute and Long COVID: Current Insights and Therapeutic Outlook.Seminars in thrombosis and hemostasis · 2025Review
- The incidence of outpatient care within 24 months from SARS-CoV-2 infection in the general population: a multicenter population-based cohort study.BMC infectious diseases · 2025Article
- Pre-COVID health-related quality of life predicts symptoms and outcomes for patients with long COVID.Frontiers in public health · 2025Article
- Predictors of health care utilization in patients with post-acute sequelae of COVID-19 (PASC).PloS one · 2025Article
- The faces of Long-COVID: interplay of symptom burden with socioeconomic, behavioral and healthcare factors.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- EHR-based Case Identification of Pediatric Long COVID: A Report from the RECOVER EHR Cohort.medRxiv : the preprint server for health sciences · 2024Article
- Characterization of Post-COVID-19 Definitions and Clinical Coding Practices: Longitudinal Study.Online journal of public health informatics · 2024Article
- Impact of COVID-19 pandemic on adults and children with atopic dermatitis and food allergy: Systematic review.The journal of allergy and clinical immunology. Global · 2024Article
- Digital approaches in post-COVID healthcare: a systematic review of technological innovations in disease management.Biology methods & protocols · 2024Review
- Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm.Journal of clinical medicine · 2023Article
- Cardiovascular and Neurological Complications of COVID-19: A Narrative Review.Journal of clinical medicine · 2023Review
- The role of machine learning in health policies during the COVID-19 pandemic and in long COVID management.Frontiers in public health · 2023Review
- Thromboembolism in the Complications of Long COVID-19.Cardiology and cardiovascular medicine · 2023Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundA growing number of Coronavirus Disease-2019 (COVID-19) survivors are affected by post-acute sequelae of SARS CoV-2 infection (PACS). Using electronic health record data, we aimed to characterize PASC-associated diagnoses and develop risk prediction models.
methodsIn our cohort of 63,675 patients with a history of COVID-19, 1724 (2.7%) had a recorded PASC diagnosis. We used a case-control study design and phenome-wide scans to characterize PASC-associated phenotypes of the pre-, acute-, and post-COVID-19 periods. We also integrated PASC-associated phenotypes into phenotype risk scores (PheRSs) and evaluated their predictive performance.
resultsIn the post-COVID-19 period, known PASC symptoms (e.g., shortness of breath, malaise/fatigue) and musculoskeletal, infectious, and digestive disorders were enriched among PASC cases. We found seven phenotypes in the pre-COVID-19 period (e.g., irritable bowel syndrome, concussion, nausea/vomiting) and sixty-nine phenotypes in the acute-COVID-19 period (predominantly respiratory, circulatory, neurological) associated with PASC. The derived pre- and acute-COVID-19 PheRSs stratified risk well, e.g., the combined PheRSs identified a quarter of the cohort with a history of COVID-19 with a 3.5-fold increased risk (95% CI: 2.19, 5.55) for PASC compared to the bottom 50%.
conclusionsThe uncovered PASC-associated diagnoses across categories highlighted a complex arrangement of presenting and likely predisposing features, some with potential for risk stratification approaches.
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