Excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States: An analysis of electronic health records

Publication Details

Authors: JK Varma, C Zang, TW Carton, JP Block, DJ Khullar, et al.

Year: 2024

Source: PLoS One

Publisher: journals.plos.org

Citations: 2

Citations per Year: 2.0

Google Scholar Rank: 109

Author Count: 6

Abstract

Importance: The frequency and characteristics of post-acute sequelae of SARS-CoV-2 infection (PASC) may vary by SARS-CoV-2 variant. Objective: To characterize PASC-related respiratory and abdominal conditions following COVID-19 infections during different variant periods. This comprehensive electronic health records analysis examines the excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States, providing critical insights into variant-specific post-acute sequelae patterns. The research analyzes large-scale clinical data to characterize long-term health impacts, identify high-risk populations, and understand how different SARS-CoV-2 variants may influence the development and severity of post-COVID conditions affecting respiratory and gastrointestinal systems.

Key Findings

• Variant-specific PASC patterns and excess burden quantification for respiratory conditions
• Abdominal and gastrointestinal post-COVID sequelae characterization and risk assessment
• Electronic health record analysis methodology for large-scale PASC surveillance
• Comparative analysis of post-acute sequelae between ancestral and Delta variant infections
• Evidence-based insights for clinical management and healthcare system preparedness

Research Impact

This recent analysis (2 citations) provided important evidence on variant-specific post-COVID conditions, informing clinical management strategies, healthcare system planning, and public health understanding of long-term COVID-19 impacts across different SARS-CoV-2 variants in US populations.

Publication Access

Full Text: PLoS One

Citation Information: Google Scholar Citations