SARS-CoV-2 infection and cardiovascular or pulmonary complications in ambulatory care: A risk assessment based on routine data.

<h4>Background</h4>Risk factors of severe COVID-19 have mainly been investigated in the hospital setting. We investigated pre-defined risk factors for testing positive for SARS-CoV-2 infection and cardiovascular or pulmonary complications in the outpatient setting.<h4>Methods</h...

Full description

Bibliographic Details
Main Authors: Siranush Karapetyan, Antonius Schneider, Klaus Linde, Ewan Donnachie, Alexander Hapfelmeier
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0258914
_version_ 1830509382813614080
author Siranush Karapetyan
Antonius Schneider
Klaus Linde
Ewan Donnachie
Alexander Hapfelmeier
author_facet Siranush Karapetyan
Antonius Schneider
Klaus Linde
Ewan Donnachie
Alexander Hapfelmeier
author_sort Siranush Karapetyan
collection DOAJ
description <h4>Background</h4>Risk factors of severe COVID-19 have mainly been investigated in the hospital setting. We investigated pre-defined risk factors for testing positive for SARS-CoV-2 infection and cardiovascular or pulmonary complications in the outpatient setting.<h4>Methods</h4>The present cohort study makes use of ambulatory claims data of statutory health insurance physicians in Bavaria, Germany, with polymerase chain reaction (PCR) test confirmed or excluded SARS-CoV-2 infection in first three quarters of 2020. Statistical modelling and machine learning were used for effect estimation and for hypothesis testing of risk factors, and for prognostic modelling of cardiovascular or pulmonary complications.<h4>Results</h4>A cohort of 99 811 participants with PCR test was identified. In a fully adjusted multivariable regression model, dementia (odds ratio (OR) = 1.36), type 2 diabetes (OR = 1.14) and obesity (OR = 1.08) were identified as significantly associated with a positive PCR test result. Significant risk factors for cardiovascular or pulmonary complications were coronary heart disease (CHD) (OR = 2.58), hypertension (OR = 1.65), tobacco consumption (OR = 1.56), chronic obstructive pulmonary disease (COPD) (OR = 1.53), previous pneumonia (OR = 1.53), chronic kidney disease (CKD) (OR = 1.25) and type 2 diabetes (OR = 1.23). Three simple decision rules derived from prognostic modelling based on age, hypertension, CKD, COPD and CHD were able to identify high risk patients with a sensitivity of 74.8% and a specificity of 80.0%.<h4>Conclusions</h4>The decision rules achieved a high prognostic accuracy non-inferior to complex machine learning methods. They might help to identify patients at risk, who should receive special attention and intensified protection in ambulatory care.
first_indexed 2024-12-22T01:33:20Z
format Article
id doaj.art-e0e02fee03884d358388505284f3d01f
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-12-22T01:33:20Z
publishDate 2021-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-e0e02fee03884d358388505284f3d01f2022-12-21T18:43:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-011610e025891410.1371/journal.pone.0258914SARS-CoV-2 infection and cardiovascular or pulmonary complications in ambulatory care: A risk assessment based on routine data.Siranush KarapetyanAntonius SchneiderKlaus LindeEwan DonnachieAlexander Hapfelmeier<h4>Background</h4>Risk factors of severe COVID-19 have mainly been investigated in the hospital setting. We investigated pre-defined risk factors for testing positive for SARS-CoV-2 infection and cardiovascular or pulmonary complications in the outpatient setting.<h4>Methods</h4>The present cohort study makes use of ambulatory claims data of statutory health insurance physicians in Bavaria, Germany, with polymerase chain reaction (PCR) test confirmed or excluded SARS-CoV-2 infection in first three quarters of 2020. Statistical modelling and machine learning were used for effect estimation and for hypothesis testing of risk factors, and for prognostic modelling of cardiovascular or pulmonary complications.<h4>Results</h4>A cohort of 99 811 participants with PCR test was identified. In a fully adjusted multivariable regression model, dementia (odds ratio (OR) = 1.36), type 2 diabetes (OR = 1.14) and obesity (OR = 1.08) were identified as significantly associated with a positive PCR test result. Significant risk factors for cardiovascular or pulmonary complications were coronary heart disease (CHD) (OR = 2.58), hypertension (OR = 1.65), tobacco consumption (OR = 1.56), chronic obstructive pulmonary disease (COPD) (OR = 1.53), previous pneumonia (OR = 1.53), chronic kidney disease (CKD) (OR = 1.25) and type 2 diabetes (OR = 1.23). Three simple decision rules derived from prognostic modelling based on age, hypertension, CKD, COPD and CHD were able to identify high risk patients with a sensitivity of 74.8% and a specificity of 80.0%.<h4>Conclusions</h4>The decision rules achieved a high prognostic accuracy non-inferior to complex machine learning methods. They might help to identify patients at risk, who should receive special attention and intensified protection in ambulatory care.https://doi.org/10.1371/journal.pone.0258914
spellingShingle Siranush Karapetyan
Antonius Schneider
Klaus Linde
Ewan Donnachie
Alexander Hapfelmeier
SARS-CoV-2 infection and cardiovascular or pulmonary complications in ambulatory care: A risk assessment based on routine data.
PLoS ONE
title SARS-CoV-2 infection and cardiovascular or pulmonary complications in ambulatory care: A risk assessment based on routine data.
title_full SARS-CoV-2 infection and cardiovascular or pulmonary complications in ambulatory care: A risk assessment based on routine data.
title_fullStr SARS-CoV-2 infection and cardiovascular or pulmonary complications in ambulatory care: A risk assessment based on routine data.
title_full_unstemmed SARS-CoV-2 infection and cardiovascular or pulmonary complications in ambulatory care: A risk assessment based on routine data.
title_short SARS-CoV-2 infection and cardiovascular or pulmonary complications in ambulatory care: A risk assessment based on routine data.
title_sort sars cov 2 infection and cardiovascular or pulmonary complications in ambulatory care a risk assessment based on routine data
url https://doi.org/10.1371/journal.pone.0258914
work_keys_str_mv AT siranushkarapetyan sarscov2infectionandcardiovascularorpulmonarycomplicationsinambulatorycareariskassessmentbasedonroutinedata
AT antoniusschneider sarscov2infectionandcardiovascularorpulmonarycomplicationsinambulatorycareariskassessmentbasedonroutinedata
AT klauslinde sarscov2infectionandcardiovascularorpulmonarycomplicationsinambulatorycareariskassessmentbasedonroutinedata
AT ewandonnachie sarscov2infectionandcardiovascularorpulmonarycomplicationsinambulatorycareariskassessmentbasedonroutinedata
AT alexanderhapfelmeier sarscov2infectionandcardiovascularorpulmonarycomplicationsinambulatorycareariskassessmentbasedonroutinedata