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Curating a Knowledge Base for Individuals with Coinfection of HIV and SARS-CoV-2: EHR-based Data Mining

Award Number: R21AI170171
ORGANIZATION: NATIONAL INSTITUTE OF ALLERGY & INFECTIOUS DISEASES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 07/13/2022
PERIOD OF PERFORMANCE END DATE: 06/30/2025

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Curating a Knowledge Base for Individuals with Coinfection of HIV and SARS-CoV-2: EHR-based Data Mining - PROJECT SUMMARY The COVID-19 pandemic has cast a heavy burden on individuals with HIV infection. Based on data of 15,522 hospitalized patients with the coinfection of HIV and SARS-CoV-2 from 24 countries, a recent World Health Organization (WHO) report for the first time confirmed that HIV to be an independent risk factor for severe COVID-19. Despite a generally high risk of severe COVID-19 clinical course in individuals with HIV, the interactions between SARS-CoV-2 and HIV infections remain unclear. For example, the severity of COVID-19 in individuals with HIV is correlated with certain comorbidities in which some of these comorbidities are more prevalent in patients with HIV than other populations. Yet, several contradictory findings suggested the predominant role of comorbidities in the severity of COVID-19 regardless of HIV infection. Individuals with low CD4+ T-cell count (e.g., <200~500 cells/µL) and unsuppressed viral load are associated with severe clinical course, yet the role of antiretroviral therapy (ART) exposure and adherence in the context of COVID-19 exposure needs to be examined. Risk factors for the severe clinical course of the coinfection are undetermined because individuals with the same or similar severity level of COVID-19 show different clinical characteristics. To fill address these knowledge gaps, this study will establish an EHR-based cohort for individuals with HIV/SARS- CoV-2 coinfection and develop 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. Ultimately, collected clinical evidence will be implemented and used to pilot test a Clinical Decision Support (CDS) prototype to assist providers in screening and referral of at-risk patients in real-world clinics.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = -$33,957 )
2026	2023	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST	COLUMBIA	SC	29208	RICHLAND	USA	Allergy and Infectious Diseases Research	000	2	12/18/2025	NON-COMPETING CONTINUATION	-$33,957
														Subtotal = -$33,957

Issue Date FY: 2023 ( Subtotal = $185,676 )
2023	2023	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST # 414	COLUMBIA	SC	29208	RICHLAND	USA	Allergy and Infectious Diseases Research	001	2	6/8/2023	NON-COMPETING CONTINUATION	$185,676
2023	2022	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST # 414	COLUMBIA	SC	29208	RICHLAND	USA	Allergy and Infectious Diseases Research	000	1	12/22/2022	NEW	$0
														Subtotal = $185,676

Issue Date FY: 2022 ( Subtotal = $222,943 )
2022	2022	UNIVERSITY OF SOUTH CAROLINA	1600 HAMPTON ST # 414	COLUMBIA	SC	29208	RICHLAND	USA	Allergy and Infectious Diseases Research	000	1	7/13/2022	NEW	$222,943
														Subtotal = $222,943

Grand Total All Awards = $374,662

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Curating a Knowledge Base for Individuals with Coinfection of HIV and SARS-CoV-2: EHR-based Data Mining

Award Number: R21AI170171

ORGANIZATION: NATIONAL INSTITUTE OF ALLERGY & INFECTIOUS DISEASES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 07/13/2022

PERIOD OF PERFORMANCE END DATE: 06/30/2025

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