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Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation.

Publication ,  Journal Article
Liang, C; Weissman, S; Olatosi, B; Poon, EG; Yarrington, ME; Li, X
Published in: BMJ Open
September 13, 2022

INTRODUCTION: Despite a higher risk of severe COVID-19 disease in individuals with HIV, the interactions between SARS-CoV-2 and HIV infections remain unclear. To delineate these interactions, multicentre Electronic Health Records (EHR) hold existing promise to provide full-spectrum and longitudinal clinical data, demographics and sociobehavioural data at individual level. Presently, a comprehensive EHR-based cohort for the HIV/SARS-CoV-2 coinfection has not been established; EHR integration and data mining methods tailored for studying the coinfection are urgently needed yet remain underdeveloped. METHODS AND ANALYSIS: The overarching goal of this exploratory/developmental study is to establish an EHR-based cohort for individuals with HIV/SARS-CoV-2 coinfection and perform large-scale EHR-based data mining to examine the interactions between HIV and SARS-CoV-2 infections and systematically identify and validate factors contributing to the severe clinical course of the coinfection. We will use a nationwide EHR database in the USA, namely, National COVID Cohort Collaborative (N3C). Ultimately, collected clinical evidence will be implemented and used to pilot test a clinical decision support prototype to assist providers in screening and referral of at-risk patients in real-world clinics. ETHICS AND DISSEMINATION: The study was approved by the institutional review boards at the University of South Carolina (Pro00121828) as non-human subject study. Study findings will be presented at academic conferences and published in peer-reviewed journals. This study will disseminate urgently needed clinical evidence for guiding clinical practice for individuals with the coinfection at Prisma Health, a healthcare system in collaboration.

Duke Scholars

Published In

BMJ Open

DOI

EISSN

2044-6055

Publication Date

September 13, 2022

Volume

12

Issue

9

Start / End Page

e067204

Location

England

Related Subject Headings

  • SARS-CoV-2
  • Knowledge Bases
  • Humans
  • HIV Infections
  • Electronic Health Records
  • Data Mining
  • Coinfection
  • COVID-19
  • 52 Psychology
  • 42 Health sciences
 

Citation

APA
Chicago
ICMJE
MLA
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Liang, C., Weissman, S., Olatosi, B., Poon, E. G., Yarrington, M. E., & Li, X. (2022). Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation. BMJ Open, 12(9), e067204. https://doi.org/10.1136/bmjopen-2022-067204
Liang, Chen, Sharon Weissman, Bankole Olatosi, Eric G. Poon, Michael E. Yarrington, and Xiaoming Li. “Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation.BMJ Open 12, no. 9 (September 13, 2022): e067204. https://doi.org/10.1136/bmjopen-2022-067204.
Liang, Chen, et al. “Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation.BMJ Open, vol. 12, no. 9, Sept. 2022, p. e067204. Pubmed, doi:10.1136/bmjopen-2022-067204.

Published In

BMJ Open

DOI

EISSN

2044-6055

Publication Date

September 13, 2022

Volume

12

Issue

9

Start / End Page

e067204

Location

England

Related Subject Headings

  • SARS-CoV-2
  • Knowledge Bases
  • Humans
  • HIV Infections
  • Electronic Health Records
  • Data Mining
  • Coinfection
  • COVID-19
  • 52 Psychology
  • 42 Health sciences