Your browser doesn't support javascript.
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
Zhang, Harrison G; Dagliati, Arianna; Shakeri Hossein Abad, Zahra; Xiong, Xin; Bonzel, Clara-Lea; Xia, Zongqi; Tan, Bryce W Q; Avillach, Paul; Brat, Gabriel A; Hong, Chuan; Morris, Michele; Visweswaran, Shyam; Patel, Lav P; Gutiérrez-Sacristán, Alba; Hanauer, David A; Holmes, John H; Samayamuthu, Malarkodi Jebathilagam; Bourgeois, Florence T; L'Yi, Sehi; Maidlow, Sarah E; Moal, Bertrand; Murphy, Shawn N; Strasser, Zachary H; Neuraz, Antoine; Ngiam, Kee Yuan; Loh, Ne Hooi Will; Omenn, Gilbert S; Prunotto, Andrea; Dalvin, Lauren A; Klann, Jeffrey G; Schubert, Petra; Vidorreta, Fernando J Sanz; Benoit, Vincent; Verdy, Guillaume; Kavuluru, Ramakanth; Estiri, Hossein; Luo, Yuan; Malovini, Alberto; Tibollo, Valentina; Bellazzi, Riccardo; Cho, Kelly; Ho, Yuk-Lam; Tan, Amelia L M; Tan, Byorn W L; Gehlenborg, Nils; Lozano-Zahonero, Sara; Jouhet, Vianney; Chiovato, Luca; Aronow, Bruce J; Toh, Emma M S.
  • Zhang HG; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Dagliati A; Department of Electrical Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Shakeri Hossein Abad Z; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Xiong X; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Bonzel CL; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Xia Z; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA.
  • Tan BWQ; Department of Medicine, National University Hospital, Singapore, Singapore.
  • Avillach P; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Brat GA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Hong C; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Morris M; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
  • Visweswaran S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Patel LP; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Gutiérrez-Sacristán A; Department of Internal Medicine, Division of Medical Informatics, University Of Kansas Medical Center, Kansas City, MO, USA.
  • Hanauer DA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Holmes JH; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Samayamuthu MJ; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Bourgeois FT; Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • L'Yi S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Maidlow SE; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
  • Moal B; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Murphy SN; Michigan Institute for Clinical and Health Research (MICHR) Informatics, University of Michigan, Ann Arbor, MI, USA.
  • Strasser ZH; IAM unit, Bordeaux University Hospital, Bordeaux, France.
  • Neuraz A; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
  • Ngiam KY; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Loh NHW; Department of biomedical informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris (APHP), University of Paris, Paris, France.
  • Omenn GS; Department of Biomedical informatics, WiSDM, National University Health Systems Singapore, Singapore, Singapore.
  • Prunotto A; Department of Anaesthesia, National University Health Systems Singapore, Singapore, Singapore.
  • Dalvin LA; Department of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, and School of Public Health, University of Michigan, Ann Arbor, MI, USA.
  • Klann JG; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Schubert P; Department of Ophthalmology, Mayo Clinic, Rochester, NY, USA.
  • Vidorreta FJS; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Benoit V; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
  • Verdy G; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
  • Kavuluru R; IT Department, Innovation & Data, APHP Greater Paris University Hospital, Paris, France.
  • Estiri H; IAM unit, Bordeaux University Hospital, Bordeaux, France.
  • Luo Y; Division of Biomedical Informatics (Department of Internal Medicine), University of Kentucky, Lexington, KY, USA.
  • Malovini A; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Tibollo V; Department of Preventive Medicine, Northwestern University, Chicago, IL, USA.
  • Bellazzi R; Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy.
  • Cho K; Laboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy.
  • Ho YL; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Tan ALM; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
  • Tan BWL; Population Health and Data Science, VA Boston Healthcare System, Boston, MA, USA.
  • Gehlenborg N; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
  • Lozano-Zahonero S; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Jouhet V; Department of Medicine, National University Hospital, Singapore, Singapore.
  • Chiovato L; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Aronow BJ; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Toh EMS; IAM unit, INSERM Bordeaux Population Health ERIAS TEAM, Bordeaux University Hospital / ERIAS - Inserm, U1219 BPH, Bordeaux, France.
NPJ Digit Med ; 5(1): 81, 2022 Jun 29.
Article in English | MEDLINE | ID: covidwho-1908301
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.
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Journal: NPJ Digit Med Year: 2022 Document Type: Article Affiliation country: S41746-022-00623-8

Similar

MEDLINE
LILACS
LIS
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Language: English Journal: NPJ Digit Med Year: 2022 Document Type: Article Affiliation country: S41746-022-00623-8