International electronic health record-derived post-acute sequelae profiles of COVID-19 patients

doi:10.1038/s41746-022-00623-8

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients

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18 Scopus citations

Abstract

The risk profiles of post-acute sequelae of COVID-19 (PASC) have not been well characterized in multi-national settings with appropriate controls. We leveraged electronic health record (EHR) data from 277 international hospitals representing 414,602 patients with COVID-19, 2.3 million control patients without COVID-19 in the inpatient and outpatient settings, and over 221 million diagnosis codes to systematically identify new-onset conditions enriched among patients with COVID-19 during the post-acute period. Compared to inpatient controls, inpatient COVID-19 cases were at significant risk for angina pectoris (RR 1.30, 95% CI 1.09–1.55), heart failure (RR 1.22, 95% CI 1.10–1.35), cognitive dysfunctions (RR 1.18, 95% CI 1.07–1.31), and fatigue (RR 1.18, 95% CI 1.07–1.30). Relative to outpatient controls, outpatient COVID-19 cases were at risk for pulmonary embolism (RR 2.10, 95% CI 1.58–2.76), venous embolism (RR 1.34, 95% CI 1.17–1.54), atrial fibrillation (RR 1.30, 95% CI 1.13–1.50), type 2 diabetes (RR 1.26, 95% CI 1.16–1.36) and vitamin D deficiency (RR 1.19, 95% CI 1.09–1.30). Outpatient COVID-19 cases were also at risk for loss of smell and taste (RR 2.42, 95% CI 1.90–3.06), inflammatory neuropathy (RR 1.66, 95% CI 1.21–2.27), and cognitive dysfunction (RR 1.18, 95% CI 1.04–1.33). The incidence of post-acute cardiovascular and pulmonary conditions decreased across time among inpatient cases while the incidence of cardiovascular, digestive, and metabolic conditions increased among outpatient cases. Our study, based on a federated international network, systematically identified robust conditions associated with PASC compared to control groups, underscoring the multifaceted cardiovascular and neurological phenotype profiles of PASC.

Original language	English
Article number	81
Journal	npj Digital Medicine
Volume	5
Issue number	1
DOIs	https://doi.org/10.1038/s41746-022-00623-8
State	Published - Dec 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s).

Funding

Z.X. is supported by the NIH National Institute of Neurological Disorders and Stroke (NINDS) R01NS098023. B.W.Q.T. is supported by National Medical Research Council Research Training Fellowship (MOH-000195-00). M.M. is supported by NIH National Center for Advancing Translational Sciences (NCATS) UL1TR001857. S.V. is supported by NCATS UL1TR001857. L.P.P. is supported by NCATS CTSA Award #UL1TR002366. D.A.H. is supported by NCATS UL1TR002240. S.E.M. is supported by NCATS UL1TR002240. S.N.M. is supported by NCATS 5UL1TR001857-05 and NIH National Human Genome Research Institute (NHGRI) 5R01HG009174-04. G.S.O. is supported by NIH grants P30ES017885 and U24CA210967. F.J.S.V. is supported by NCATS Grant #UL1TR001881. R.K. is supported by NCATS UL1TR001998. Y.L. is supported by the NIH National Library of Medicine (NLM) R01LM013337. R.B. is supported by EU PROJECT H2020 PERISCOPE—101016233. K.C. is supported by VA MVP000 and CIPHER. N.G., Z.S.H.A., and S.L. are supported by NLM T15 LM007092. B.J.A. is supported by NIH National Heart, Lung, and Blood Institute (NHLBI) U24 HL148865. K.B.W. is supported by NHLBI R01 HL151643-01. A.M.S. is supported by NHLBI K23HL148394 and L40HL148910, and NCATS UL1TR001420. G.M.W. is supported by NCATS UL1TR002541 and UL1TR000005, NLM R01LM013345, and NHGRI 3U01HG008685-05S2.

Funders	Funder number
VA MVP000	T15 LM007092
National Institutes of Health (NIH)	1TR001881, P30ES017885, U24CA210967, UL1TR001998
National Institutes of Health (NIH)
National Heart, Lung, and Blood Institute (NHLBI)	UL1TR001420, K23HL148394, UL1TR002541, UL1TR000005, L40HL148910, R01 HL151643-01, 3U01HG008685-05S2, R01LM013345, U24 HL148865
National Heart, Lung, and Blood Institute (NHLBI)
National Human Genome Research Institute	5R01HG009174-04
National Human Genome Research Institute
Institute of Neurological Disorders and Stroke National Advisory Neurological Disorders and Stroke Council	R01NS098023
Institute of Neurological Disorders and Stroke National Advisory Neurological Disorders and Stroke Council
U.S. National Library of Medicine	R01LM013337
U.S. National Library of Medicine
National Center for Advancing Translational Sciences (NCATS)	UL1TR002240, 5UL1TR001857-05, 1TR002366
National Center for Advancing Translational Sciences (NCATS)
University Research Committee, Emory University	101016233
University Research Committee, Emory University
National Medical Research Council Singapore	MOH-000195-00
National Medical Research Council Singapore

ASJC Scopus subject areas

Medicine (miscellaneous)
Health Informatics
Computer Science Applications
Health Information Management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/s41746-022-00623-8

Cite this

@article{eb654349b9484c6e891b6b9aba9fe41b,

title = "International electronic health record-derived post-acute sequelae profiles of COVID-19 patients",

abstract = "The risk profiles of post-acute sequelae of COVID-19 (PASC) have not been well characterized in multi-national settings with appropriate controls. We leveraged electronic health record (EHR) data from 277 international hospitals representing 414,602 patients with COVID-19, 2.3 million control patients without COVID-19 in the inpatient and outpatient settings, and over 221 million diagnosis codes to systematically identify new-onset conditions enriched among patients with COVID-19 during the post-acute period. Compared to inpatient controls, inpatient COVID-19 cases were at significant risk for angina pectoris (RR 1.30, 95% CI 1.09–1.55), heart failure (RR 1.22, 95% CI 1.10–1.35), cognitive dysfunctions (RR 1.18, 95% CI 1.07–1.31), and fatigue (RR 1.18, 95% CI 1.07–1.30). Relative to outpatient controls, outpatient COVID-19 cases were at risk for pulmonary embolism (RR 2.10, 95% CI 1.58–2.76), venous embolism (RR 1.34, 95% CI 1.17–1.54), atrial fibrillation (RR 1.30, 95% CI 1.13–1.50), type 2 diabetes (RR 1.26, 95% CI 1.16–1.36) and vitamin D deficiency (RR 1.19, 95% CI 1.09–1.30). Outpatient COVID-19 cases were also at risk for loss of smell and taste (RR 2.42, 95% CI 1.90–3.06), inflammatory neuropathy (RR 1.66, 95% CI 1.21–2.27), and cognitive dysfunction (RR 1.18, 95% CI 1.04–1.33). The incidence of post-acute cardiovascular and pulmonary conditions decreased across time among inpatient cases while the incidence of cardiovascular, digestive, and metabolic conditions increased among outpatient cases. Our study, based on a federated international network, systematically identified robust conditions associated with PASC compared to control groups, underscoring the multifaceted cardiovascular and neurological phenotype profiles of PASC.",

author = "Zhang, {Harrison G.} and Arianna Dagliati and {Shakeri Hossein Abad}, Zahra and Xin Xiong and Bonzel, {Clara Lea} and Zongqi Xia and Tan, {Bryce W.Q.} and Paul Avillach and Brat, {Gabriel A.} and Chuan Hong and Michele Morris and Shyam Visweswaran and Patel, {Lav P.} and Alba Guti{\'e}rrez-Sacrist{\'a}n and Hanauer, {David A.} and Holmes, {John H.} and Samayamuthu, {Malarkodi Jebathilagam} and Bourgeois, {Florence T.} and Sehi L{\textquoteright}Yi and Maidlow, {Sarah E.} and Bertrand Moal and Murphy, {Shawn N.} and Strasser, {Zachary H.} and Antoine Neuraz and Ngiam, {Kee Yuan} and Loh, {Ne Hooi Will} and Omenn, {Gilbert S.} and Andrea Prunotto and Dalvin, {Lauren A.} and Klann, {Jeffrey G.} and Petra Schubert and Vidorreta, {Fernando J.Sanz} and Vincent Benoit and Guillaume Verdy and Ramakanth Kavuluru and Hossein Estiri and Yuan Luo and Alberto Malovini and Valentina Tibollo and Riccardo Bellazzi and Kelly Cho and Ho, {Yuk Lam} and Tan, {Amelia L.M.} and Tan, {Byorn W.L.} and Nils Gehlenborg and Sara Lozano-Zahonero and Vianney Jouhet and Luca Chiovato and Aronow, {Bruce J.} and Toh, {Emma M.S.}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",

year = "2022",

month = dec,

doi = "10.1038/s41746-022-00623-8",

language = "English",

volume = "5",

journal = "npj Digital Medicine",

issn = "2398-6352",

publisher = "Nature Publishing Group",

number = "1",

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TY - JOUR

T1 - International electronic health record-derived post-acute sequelae profiles of COVID-19 patients

AU - Zhang, Harrison G.

AU - Dagliati, Arianna

AU - Shakeri Hossein Abad, Zahra

AU - Xiong, Xin

AU - Bonzel, Clara Lea

AU - Xia, Zongqi

AU - Tan, Bryce W.Q.

AU - Avillach, Paul

AU - Brat, Gabriel A.

AU - Hong, Chuan

AU - Morris, Michele

AU - Visweswaran, Shyam

AU - Patel, Lav P.

AU - Gutiérrez-Sacristán, Alba

AU - Hanauer, David A.

AU - Holmes, John H.

AU - Samayamuthu, Malarkodi Jebathilagam

AU - Bourgeois, Florence T.

AU - L’Yi, Sehi

AU - Maidlow, Sarah E.

AU - Moal, Bertrand

AU - Murphy, Shawn N.

AU - Strasser, Zachary H.

AU - Neuraz, Antoine

AU - Ngiam, Kee Yuan

AU - Loh, Ne Hooi Will

AU - Omenn, Gilbert S.

AU - Prunotto, Andrea

AU - Dalvin, Lauren A.

AU - Klann, Jeffrey G.

AU - Schubert, Petra

AU - Vidorreta, Fernando J.Sanz

AU - Benoit, Vincent

AU - Verdy, Guillaume

AU - Kavuluru, Ramakanth

AU - Estiri, Hossein

AU - Luo, Yuan

AU - Malovini, Alberto

AU - Tibollo, Valentina

AU - Bellazzi, Riccardo

AU - Cho, Kelly

AU - Ho, Yuk Lam

AU - Tan, Amelia L.M.

AU - Tan, Byorn W.L.

AU - Gehlenborg, Nils

AU - Lozano-Zahonero, Sara

AU - Jouhet, Vianney

AU - Chiovato, Luca

AU - Aronow, Bruce J.

AU - Toh, Emma M.S.

PY - 2022/12

Y1 - 2022/12

N2 - The risk profiles of post-acute sequelae of COVID-19 (PASC) have not been well characterized in multi-national settings with appropriate controls. We leveraged electronic health record (EHR) data from 277 international hospitals representing 414,602 patients with COVID-19, 2.3 million control patients without COVID-19 in the inpatient and outpatient settings, and over 221 million diagnosis codes to systematically identify new-onset conditions enriched among patients with COVID-19 during the post-acute period. Compared to inpatient controls, inpatient COVID-19 cases were at significant risk for angina pectoris (RR 1.30, 95% CI 1.09–1.55), heart failure (RR 1.22, 95% CI 1.10–1.35), cognitive dysfunctions (RR 1.18, 95% CI 1.07–1.31), and fatigue (RR 1.18, 95% CI 1.07–1.30). Relative to outpatient controls, outpatient COVID-19 cases were at risk for pulmonary embolism (RR 2.10, 95% CI 1.58–2.76), venous embolism (RR 1.34, 95% CI 1.17–1.54), atrial fibrillation (RR 1.30, 95% CI 1.13–1.50), type 2 diabetes (RR 1.26, 95% CI 1.16–1.36) and vitamin D deficiency (RR 1.19, 95% CI 1.09–1.30). Outpatient COVID-19 cases were also at risk for loss of smell and taste (RR 2.42, 95% CI 1.90–3.06), inflammatory neuropathy (RR 1.66, 95% CI 1.21–2.27), and cognitive dysfunction (RR 1.18, 95% CI 1.04–1.33). The incidence of post-acute cardiovascular and pulmonary conditions decreased across time among inpatient cases while the incidence of cardiovascular, digestive, and metabolic conditions increased among outpatient cases. Our study, based on a federated international network, systematically identified robust conditions associated with PASC compared to control groups, underscoring the multifaceted cardiovascular and neurological phenotype profiles of PASC.

AB - The risk profiles of post-acute sequelae of COVID-19 (PASC) have not been well characterized in multi-national settings with appropriate controls. We leveraged electronic health record (EHR) data from 277 international hospitals representing 414,602 patients with COVID-19, 2.3 million control patients without COVID-19 in the inpatient and outpatient settings, and over 221 million diagnosis codes to systematically identify new-onset conditions enriched among patients with COVID-19 during the post-acute period. Compared to inpatient controls, inpatient COVID-19 cases were at significant risk for angina pectoris (RR 1.30, 95% CI 1.09–1.55), heart failure (RR 1.22, 95% CI 1.10–1.35), cognitive dysfunctions (RR 1.18, 95% CI 1.07–1.31), and fatigue (RR 1.18, 95% CI 1.07–1.30). Relative to outpatient controls, outpatient COVID-19 cases were at risk for pulmonary embolism (RR 2.10, 95% CI 1.58–2.76), venous embolism (RR 1.34, 95% CI 1.17–1.54), atrial fibrillation (RR 1.30, 95% CI 1.13–1.50), type 2 diabetes (RR 1.26, 95% CI 1.16–1.36) and vitamin D deficiency (RR 1.19, 95% CI 1.09–1.30). Outpatient COVID-19 cases were also at risk for loss of smell and taste (RR 2.42, 95% CI 1.90–3.06), inflammatory neuropathy (RR 1.66, 95% CI 1.21–2.27), and cognitive dysfunction (RR 1.18, 95% CI 1.04–1.33). The incidence of post-acute cardiovascular and pulmonary conditions decreased across time among inpatient cases while the incidence of cardiovascular, digestive, and metabolic conditions increased among outpatient cases. Our study, based on a federated international network, systematically identified robust conditions associated with PASC compared to control groups, underscoring the multifaceted cardiovascular and neurological phenotype profiles of PASC.

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International electronic health record-derived post-acute sequelae profiles of COVID-19 patients

Abstract

Bibliographical note

Funding

ASJC Scopus subject areas

UN SDGs

Access to Document

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