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Acute sequelae of SARS-CoV-2 infection (PASC) refer to a wide range of symptoms and signs that persist, worsen, or emerge after acute SARS-CoV-2 infection, also known as Long Covid
.
Most studies examined these conditions individually, but did not provide evidence
on co-occurrences.
For the study, an article published in Nature Medicine leveraged electronic health record data
from two large cohorts of the national patient-centered clinical research network, INSIGHT and OneFlorida+.
Created INSIGHT's development cohort and OneFlorida+'s validation cohort, which included 20,881 and 13,724 SARS-CoV-2 infected patients, respectively, and we investigated their new event diagnoses 30-180 days
after the recorded SARS-CoV-2 infection 。 Through machine learning analysis of more than 137 symptoms and conditions, four reproducible PASC subtypes were identified: primarily cardiac and renal (including 33.
75% and 25.
43% of patients in the development and validation cohort); breathing, sleep and anxiety (32.
75% and 38.
48%); musculoskeletal and nervous system (23.
37% and 23.
35%); Digestive and respiratory sequelae (10.
14% and 12.
74%)
.
These subtypes are associated
with different patient demographics, underlying conditions prior to SARS-CoV-2 infection, and severity of the acute infectious phase.
Provides insights into the heterogeneity of PASC and may inform hierarchical decision-making in PASC condition management
.
The different colors of the pie chart represent the incidence of potential PASC conditions in each subtype in the INSIGHT cohort, where potential PASC conditions are divided into different categories
.
Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes