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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.
Liang, Chen; Weissman, Sharon; Olatosi, Bankole; Poon, Eric G; Yarrington, Michael E; Li, Xiaoming.
  • Liang C; Department of Health Services Policy and Management, University of South Carolina, Columbia, South Carolina, USA cliang@mailbox.sc.edu.
  • Weissman S; Big Data Health Science Center, University of South Carolina, Columbia, South Carolina, USA.
  • Olatosi B; Big Data Health Science Center, University of South Carolina, Columbia, South Carolina, USA.
  • Poon EG; Department of Internal Medicine, University of South Carolina, Columbia, South Carolina, USA.
  • Yarrington ME; Department of Health Services Policy and Management, University of South Carolina, Columbia, South Carolina, USA.
  • Li X; Big Data Health Science Center, University of South Carolina, Columbia, South Carolina, USA.
BMJ Open ; 12(9): e067204, 2022 09 13.
Article in English | MEDLINE | ID: covidwho-2029507
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: HIV Infections / Coinfection / COVID-19 Type of study: Cohort study / Observational study / Prognostic study / Reviews Topics: Long Covid Limits: Humans Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2022-067204

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Full text: Available Collection: International databases Database: MEDLINE Main subject: HIV Infections / Coinfection / COVID-19 Type of study: Cohort study / Observational study / Prognostic study / Reviews Topics: Long Covid Limits: Humans Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2022-067204