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Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study
OBJECTIVES: Cardiovascular conditions were shown to be predictive of clinical deterioration in hospitalised patients with coronavirus disease 2019 (COVID-19). Whether this also holds for outpatients managed in primary care is yet unknown. The aim of this study was to determine the incremental value...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000124/ https://www.ncbi.nlm.nih.gov/pubmed/35404964 http://dx.doi.org/10.1371/journal.pone.0266750 |
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author | van Royen, Florien S. Joosten, Linda P. T. van Smeden, Maarten Slottje, Pauline Rutten, Frans H. Geersing, Geert-Jan van Doorn, Sander |
author_facet | van Royen, Florien S. Joosten, Linda P. T. van Smeden, Maarten Slottje, Pauline Rutten, Frans H. Geersing, Geert-Jan van Doorn, Sander |
author_sort | van Royen, Florien S. |
collection | PubMed |
description | OBJECTIVES: Cardiovascular conditions were shown to be predictive of clinical deterioration in hospitalised patients with coronavirus disease 2019 (COVID-19). Whether this also holds for outpatients managed in primary care is yet unknown. The aim of this study was to determine the incremental value of cardiovascular vulnerability in predicting the risk of hospital referral in primary care COVID-19 outpatients. DESIGN: Analysis of anonymised routine care data extracted from electronic medical records from three large Dutch primary care registries. SETTING: Primary care. PARTICIPANTS: Consecutive adult patients seen in primary care for COVID-19 symptoms in the ‘first wave’ of COVID-19 infections (March 1 2020 to June 1 2020) and in the ‘second wave’ (June 1 2020 to April 15 2021) in the Netherlands. OUTCOME MEASURES: A multivariable logistic regression model was fitted to predict hospital referral within 90 days after first COVID-19 consultation in primary care. Data from the ‘first wave’ was used for derivation (n = 5,475 patients). Age, sex, the interaction between age and sex, and the number of cardiovascular conditions and/or diabetes (0, 1, or ≥2) were pre-specified as candidate predictors. This full model was (i) compared to a simple model including only age and sex and its interaction, and (ii) externally validated in COVID-19 patients during the ‘second wave’ (n = 16,693). RESULTS: The full model performed better than the simple model (likelihood ratio test p<0.001). Older male patients with multiple cardiovascular conditions and/or diabetes had the highest predicted risk of hospital referral, reaching risks above 15–20%, whereas on average this risk was 5.1%. The temporally validated c-statistic was 0.747 (95%CI 0.729–0.764) and the model showed good calibration upon validation. CONCLUSIONS: For patients with COVID-19 symptoms managed in primary care, the risk of hospital referral was on average 5.1%. Older, male and cardiovascular vulnerable COVID-19 patients are more at risk for hospital referral. |
format | Online Article Text |
id | pubmed-9000124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-90001242022-04-12 Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study van Royen, Florien S. Joosten, Linda P. T. van Smeden, Maarten Slottje, Pauline Rutten, Frans H. Geersing, Geert-Jan van Doorn, Sander PLoS One Research Article OBJECTIVES: Cardiovascular conditions were shown to be predictive of clinical deterioration in hospitalised patients with coronavirus disease 2019 (COVID-19). Whether this also holds for outpatients managed in primary care is yet unknown. The aim of this study was to determine the incremental value of cardiovascular vulnerability in predicting the risk of hospital referral in primary care COVID-19 outpatients. DESIGN: Analysis of anonymised routine care data extracted from electronic medical records from three large Dutch primary care registries. SETTING: Primary care. PARTICIPANTS: Consecutive adult patients seen in primary care for COVID-19 symptoms in the ‘first wave’ of COVID-19 infections (March 1 2020 to June 1 2020) and in the ‘second wave’ (June 1 2020 to April 15 2021) in the Netherlands. OUTCOME MEASURES: A multivariable logistic regression model was fitted to predict hospital referral within 90 days after first COVID-19 consultation in primary care. Data from the ‘first wave’ was used for derivation (n = 5,475 patients). Age, sex, the interaction between age and sex, and the number of cardiovascular conditions and/or diabetes (0, 1, or ≥2) were pre-specified as candidate predictors. This full model was (i) compared to a simple model including only age and sex and its interaction, and (ii) externally validated in COVID-19 patients during the ‘second wave’ (n = 16,693). RESULTS: The full model performed better than the simple model (likelihood ratio test p<0.001). Older male patients with multiple cardiovascular conditions and/or diabetes had the highest predicted risk of hospital referral, reaching risks above 15–20%, whereas on average this risk was 5.1%. The temporally validated c-statistic was 0.747 (95%CI 0.729–0.764) and the model showed good calibration upon validation. CONCLUSIONS: For patients with COVID-19 symptoms managed in primary care, the risk of hospital referral was on average 5.1%. Older, male and cardiovascular vulnerable COVID-19 patients are more at risk for hospital referral. Public Library of Science 2022-04-11 /pmc/articles/PMC9000124/ /pubmed/35404964 http://dx.doi.org/10.1371/journal.pone.0266750 Text en © 2022 van Royen et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article van Royen, Florien S. Joosten, Linda P. T. van Smeden, Maarten Slottje, Pauline Rutten, Frans H. Geersing, Geert-Jan van Doorn, Sander Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study |
title | Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study |
title_full | Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study |
title_fullStr | Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study |
title_full_unstemmed | Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study |
title_short | Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study |
title_sort | cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed covid-19 patients: a model development and validation study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9000124/ https://www.ncbi.nlm.nih.gov/pubmed/35404964 http://dx.doi.org/10.1371/journal.pone.0266750 |
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