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.
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.
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DOI:
10.1136/bmjopen-2022-067204
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发表时间:
2022-09-13
期刊:
影响因子:
2.9
通讯作者:
中科院分区:
文献类型:
--
作者:
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. 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. 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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DOI:
10.1093/infdis/jiab114
发表时间:
2021-11-16
期刊:
The Journal of infectious diseases
影响因子:
--
作者:
Eisinger RW;Lerner AM;Fauci AS
通讯作者:
Fauci AS
影响因子:
11.8
作者:
Dandachi, Dima;Geiger, Grant;Chow, Jeremy
通讯作者:
Chow, Jeremy
影响因子:
11.1
作者:
Deer RR;Rock MA;Vasilevsky N;Carmody L;Rando H;Anzalone AJ;Basson MD;Bennett TD;Bergquist T;Boudreau EA;Bramante CT;Byrd JB;Callahan TJ;Chan LE;Chu H;Chute CG;Coleman BD;Davis HE;Gagnier J;Greene CS;Hillegass WB;Kavuluru R;Kimble WD;Koraishy FM;Köhler S;Liang C;Liu F;Liu H;Madhira V;Madlock-Brown CR;Matentzoglu N;Mazzotti DR;McMurry JA;McNair DS;Moffitt RA;Monteith TS;Parker AM;Perry MA;Pfaff E;Reese JT;Saltz J;Schuff RA;Solomonides AE;Solway J;Spratt H;Stein GS;Sule AA;Topaloglu U;Vavougios GD;Wang L;Haendel MA;Robinson PN
通讯作者:
Robinson PN
影响因子:
4.6
作者:
Castillo-Mancilla JR;Haberer JE
通讯作者:
Haberer JE
DOI:
10.15585/mmwr.mm6945e2
发表时间:
2020-11-13
期刊:
MMWR. Morbidity and mortality weekly report
影响因子:
--
作者:
Lavery AM;Preston LE;Ko JY;Chevinsky JR;DeSisto CL;Pennington AF;Kompaniyets L;Datta SD;Click ES;Golden T;Goodman AB;Mac Kenzie WR;Boehmer TK;Gundlapalli AV
通讯作者:
Gundlapalli AV