Hospitalized COVID-19 patients are younger, healthier than influenza
patients, study finds

Date:
October 6, 2020
Source:
Columbia University Irving Medical Center
Summary:
Patients hospitalized with COVID-19 were more often male, younger,
and had fewer underlying medical conditions than hospitalized
influenza patients, a new study found.



FULL STORY ========================================================================== Patients hospitalized with COVID-19 were more likely male, younger, and,
in both the US and Spain, had fewer comorbidities and lower medication
use than hospitalized influenza patients according to a recent study
published by the Observational Health Data Sciences and Informatics
(OHDSI) community.


========================================================================== OHDSI has established an international network of researchers and
observational health databases with a central coordinating center housed
at the Department of Biomedical Informatics at Columbia University.

This global network study, which included more than 34,000 COVID-19
patients from across three continents, is intended to provide greater
detail about the characteristics of patients suffering from the disease,
and also to help inform decision-making around the care of hospitalized patients.

The study "Deep phenotyping of 34,128 adult patients hospitalized with
COVID-19 in an international network study" was published Oct. 6 by
Nature Communications.

Patients hospitalized with COVID-19 were more typically male in the US
and Spain, but more often female in South Korea. The ages of patients
varied, but in Spain and the US, the most common age groups were between
60 to 75. Patients hospitalized with influenza were typically older than
those hospitalized with COVID-19, and more likely to be female.

Many of the patients hospitalized with COVID-19 were seen to have other
health conditions. For example, the prevalence of hypertensive disorder
ranged from 24% to 70%, diabetes from 13% to 43%, and asthma from 4% to
15%, across data sources. Despite this, however, when compared to patients hospitalized with influenza in recent years, those with COVID-19 were seen
to generally be healthier. Chronic obstructive pulmonary disease (COPD), cardiovascular disease and dementia were all more common among those hospitalized with influenza compared to those hospitalized with COVID-19.



========================================================================== "This study has allowed us to better understand the profiles of patients hospitalized with COVID-19," says co-lead author Edward Burn. "Despite
recent discourse around the supposed poor health and limited life
expectancy of COVID- 19 patients, we see COVID-19 patients to be in
no worse health than those typically hospitalized with influenza. This
further highlights the high rate of mortality among COVID-19 patients."
This study was initiated during the OHDSI COVID-19 study-a-thon, an
88-hour global, inter-disciplinary collaboration. The initial COVID-19
data was provided by the Korean Health Insurance Review & Assessment
Service (HIRA), and it empowered the community to generate some of the
earliest multi-national studies during the pandemic. All analyses are
performed at the individual sites, meaning no patient-level data needed
to be shared and patient privacy could be maintained.

"The most interesting part of this study is that it was possible to
provide the details of patients' characteristics across institutions
without violating their privacy," said co-lead author Seng Chan You,
who helped lead the efforts of mapping HIRA data to the OHDSI common
data model. "It's important to know this is possible because we don't
know what is coming next. When is the next pandemic? Whatever happens,
we know we can provide important patient characteristics to allow
collaborative global research." The study was developed and executed by
the OHDSI community, a multi- stakeholder, interdisciplinary collaboration
that works to bring out the value of health data through large-scale
analytics. All solutions are open-source, and links to the study protocol,
code and results are posted in the paper.

"Open science and collaboration are tenets of the OHDSI community, and
they were never more important than early in this pandemic," said Patrick
Ryan, co- senior author of this study. "Our community collaborated for
years to develop the high-level analytics which set the course for these studies, and our belief in both openly sharing patient data allowed us to generate this reliable, reproducible COVID patient data that will assist
in important decision-making as we fight this disease." "This study is foundational work for future collaborative evidence generation by both
OHDSI and the EHDEN Consortium, which is mapping additional COVID data
across Europe," said co-senior author Daniel Prieto-Alhambra. "Describing
the baseline demographic, clinical characteristics, treatments and
outcomes of COVID-19 patients overall and stratified by sex, age and
specific comorbidities will greatly inform decision-making in this
pandemic, and we are collaborating globally on these studies."


========================================================================== About the Study Co-lead author Edward Burn is a postdoctoral researcher
at the Fundacio' Institut Universitari per a la recerca a l'Atencio'
Prima`ria de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain,
and the Centre for Statistics in Medicine (CSM), University of Oxford, UK.

Co-lead author Seng Chan You is a PhD student at Ajou University.

Co-senior author Patrick Ryan, PhD, is Vice President, Observational
Health Data Analytics at Janssen Research and Development and Adjunct
Assistant Professor of Biomedical Informatics at Columbia University.

Co-senior author Daniel Prieto-Alhambra, PhD, is Professor of Pharmaco-
and Device Epidemiology at the University of Oxford.

All other authors can be found in the paper.


========================================================================== Story Source: Materials provided by
Columbia_University_Irving_Medical_Center. Note: Content may be edited
for style and length.


========================================================================== Journal Reference:
1. Edward Burn, Seng Chan You, Anthony G. Sena, Kristin Kostka, Hamed
Abedtash, Maria Tereza F. Abraha~o, Amanda Alberga, Heba Alghoul,
Osaid Alser, Thamir M. Alshammari, Maria Aragon, Carlos Areia, Juan
M. Banda, Jaehyeong Cho, Aedin C. Culhane, Alexander Davydov, Frank
J. DeFalco, Talita Duarte-Salles, Scott DuVall, Thomas Falconer,
Sergio Fernandez- Bertolin, Weihua Gao, Asieh Golozar, Jill Hardin,
George Hripcsak, Vojtech Huser, Hokyun Jeon, Yonghua Jing, Chi Young
Jung, Benjamin Skov Kaas-Hansen, Denys Kaduk, Seamus Kent, Yeesuk
Kim, Spyros Kolovos, Jennifer C. E. Lane, Hyejin Lee, Kristine
E. Lynch, Rupa Makadia, Michael E. Matheny, Paras P. Mehta, Daniel
R. Morales, Karthik Natarajan, Fredrik Nyberg, Anna Ostropolets,
Rae Woong Park, Jimyung Park, Jose D. Posada, Albert Prats-Uribe,
Gowtham Rao, Christian Reich, Yeunsook Rho, Peter Rijnbeek, Lisa
M. Schilling, Martijn Schuemie, Nigam H. Shah, Azza Shoaibi,
Seokyoung Song, Matthew Spotnitz, Marc A. Suchard, Joel N.

Swerdel, David Vizcaya, Salvatore Volpe, Haini Wen, Andrew
E. Williams, Belay B. Yimer, Lin Zhang, Oleg Zhuk, Daniel
Prieto-Alhambra, Patrick Ryan. Deep phenotyping of 34,128
adult patients hospitalised with COVID- 19 in an international
network study. Nature Communications, 2020; 11 (1) DOI:
10.1038/s41467-020-18849-z ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2020/10/201006153512.htm

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