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Correction
Open Access

Correction: Transmembrane protease serine 2 (TMPRSS2) rs75603675, comorbidity and sex are the primary predictors of Covid-19 severity

View ORCID ProfileGonzalo Villapalos-García, View ORCID ProfilePablo Zubiaur  Correspondence email, Rebeca Rivas-Durán, Pilar Campos-Norte, Cristina Arévalo-Román, Marta Fernández-Rico, Lucio García-Fraile Fraile, Paula Fernández-Campos, View ORCID ProfilePaula Soria-Chacartegui, Sara Fernández de Córdoba-Oñate, Pablo Delgado-Wicke, View ORCID ProfileElena Fernández-Ruiz, View ORCID ProfileIsidoro González-Álvaro, Jesús Sanz, View ORCID ProfileFrancisco Abad-Santos  Correspondence email, View ORCID ProfileIgnacio de los Santos  Correspondence email
Gonzalo Villapalos-García
1Clinical Pharmacology Department, Hospital Universitario La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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  • ORCID record for Gonzalo Villapalos-García
Pablo Zubiaur
1Clinical Pharmacology Department, Hospital Universitario La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
2Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
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  • For correspondence: pablo.zubiaur@salud.madrid.org
Rebeca Rivas-Durán
3Infectious Diseases Unit, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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Pilar Campos-Norte
3Infectious Diseases Unit, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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Cristina Arévalo-Román
3Infectious Diseases Unit, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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Marta Fernández-Rico
3Infectious Diseases Unit, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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Lucio García-Fraile Fraile
3Infectious Diseases Unit, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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Paula Fernández-Campos
1Clinical Pharmacology Department, Hospital Universitario La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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Paula Soria-Chacartegui
1Clinical Pharmacology Department, Hospital Universitario La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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  • ORCID record for Paula Soria-Chacartegui
Sara Fernández de Córdoba-Oñate
4Molecular Biology Unit, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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Pablo Delgado-Wicke
4Molecular Biology Unit, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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Elena Fernández-Ruiz
4Molecular Biology Unit, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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Isidoro González-Álvaro
5Rheumatology Service, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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Jesús Sanz
3Infectious Diseases Unit, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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Francisco Abad-Santos
1Clinical Pharmacology Department, Hospital Universitario La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
2Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Salud Carlos III, Madrid, Spain
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  • For correspondence: francisco.abad@salud.madrid.org
Ignacio de los Santos
3Infectious Diseases Unit, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), Madrid, Spain
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  • For correspondence: isantosg@salud.madrid.org
Published 9 June 2022. DOI: 10.26508/lsa.202201545
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Abstract

We identified an error in the abstract of the article: TPMRSS2 rs75603675 OR is incorrectly indicated. It should read (OR = 2.140) instead of (OR = 0.586). We apologize for this error. However, since the main text is correct, it has no impact on the results displayed in the study.

Article: Villapalos-García G, Zubiaur P, Rivas-Durán R, Campos-Norte P, Arévalo-Román C, Fernández-Rico M, García-Fraile Fraile L, Fernández-Campos P, Soria-Chacartegui P, Fernández de Córdoba-Oñate S, Delgado-Wicke P, Fernández-Ruiz E, González-Álvaro I, Sanz J, Abad-Santos F, de Los Santos I (2022 May 30) Transmembrane protease serine 2 (TMPRSS2) rs75603675, comorbidity, and sex are the primary predictors of COVID-19 severity. Life Sci Alliance 5(10): e202201396. doi: 10.26508/lsa.202201396. PMID: 35636966.

Where it reads:

Abstract. By the end of December 2021, coronavirus disease 2019 (COVID-19) produced more than 271 million cases and 5.3 million deaths. Although vaccination is an effective strategy for pandemic control, it is not yet equally available in all countries. Therefore, identification of prognostic biomarkers remains crucial to manage COVID-19 patients. The aim of this study was to evaluate predictors of COVID-19 severity previously proposed. Clinical and demographic characteristics and 120 single-nucleotide polymorphisms were analyzed from 817 patients with COVID-19, who attended the emergency department of the Hospital Universitario de La Princesa during March and April 2020. The main outcome was a modified version of the 7-point World Health Organization (WHO) COVID-19 severity scale (WHOCS); both in the moment of the first hospital examination (WHOCS-1) and of the severest WHOCS score (WHOCS-2). The TMPRSS2 rs75603675 genotype (OR = 0.586), dyslipidemia (OR = 2.289), sex (OR = 0.586), and the Charlson Comorbidity Index (OR = 1.126) were identified as the main predictors of disease severity. Consequently, these variables might influence COVID-19 severity and could be used as predictors of disease development.

It should read:

Abstract. By the end of December 2021, coronavirus disease 2019 (COVID-19) produced more than 271 million cases and 5.3 million deaths. Although vaccination is an effective strategy for pandemic control, it is not yet equally available in all countries. Therefore, identification of prognostic biomarkers remains crucial to manage COVID-19 patients. The aim of this study was to evaluate predictors of COVID-19 severity previously proposed. Clinical and demographic characteristics and 120 single-nucleotide polymorphisms were analyzed from 817 patients with COVID-19, who attended the emergency department of the Hospital Universitario de La Princesa during March and April 2020. The main outcome was a modified version of the 7-point World Health Organization (WHO) COVID-19 severity scale (WHOCS); both in the moment of the first hospital examination (WHOCS-1) and of the severest WHOCS score (WHOCS-2). The TMPRSS2 rs75603675 genotype (OR = 2.140), dyslipidemia (OR = 2.289), sex (OR = 0.586), and the Charlson Comorbidity Index (OR = 1.126) were identified as the main predictors of disease severity. Consequently, these variables might influence COVID-19 severity and could be used as predictors of disease development.

Footnotes

  • Correction: TMPRSS2 rs75603675 on Covid-19 severity

  • Received June 2, 2022.
  • Accepted June 2, 2022.
  • © 2022 Villapalos-García et al.
Creative Commons logoCreative Commons logohttps://creativecommons.org/licenses/by/4.0/

This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

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Correction: TMPRSS2 rs75603675 on Covid-19 severity
Gonzalo Villapalos-García, Pablo Zubiaur, Rebeca Rivas-Durán, Pilar Campos-Norte, Cristina Arévalo-Román, Marta Fernández-Rico, Lucio García-Fraile Fraile, Paula Fernández-Campos, Paula Soria-Chacartegui, Sara Fernández de Córdoba-Oñate, Pablo Delgado-Wicke, Elena Fernández-Ruiz, Isidoro González-Álvaro, Jesús Sanz, Francisco Abad-Santos, Ignacio de los Santos
Life Science Alliance Jun 2022, 5 (10) e202201545; DOI: 10.26508/lsa.202201545

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Correction: TMPRSS2 rs75603675 on Covid-19 severity
Gonzalo Villapalos-García, Pablo Zubiaur, Rebeca Rivas-Durán, Pilar Campos-Norte, Cristina Arévalo-Román, Marta Fernández-Rico, Lucio García-Fraile Fraile, Paula Fernández-Campos, Paula Soria-Chacartegui, Sara Fernández de Córdoba-Oñate, Pablo Delgado-Wicke, Elena Fernández-Ruiz, Isidoro González-Álvaro, Jesús Sanz, Francisco Abad-Santos, Ignacio de los Santos
Life Science Alliance Jun 2022, 5 (10) e202201545; DOI: 10.26508/lsa.202201545
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Volume 5, No. 10
October 2022
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  • Villapalos-García, G., Zubiaur, P., Rivas-Durán, R., Campos-Norte, P., Arévalo-Román, C., Fernández-Rico, M., García-Fraile Fraile, L., Fernández-Campos, P., Soria-Chacartegui, P., Fernández de Córdoba-Oñate, S., Delgado-Wicke, P., Fernández-Ruiz, E., González-Álvaro, I., Sanz, J., Abad-Santos, F., & de los Santos, I. (2022). Transmembrane protease serine 2 (TMPRSS2) rs75603675, comorbidity, and sex are the primary predictors of COVID-19 severity. Life Science Alliance, 5(10), e202201396. Accessed January 29, 2023. https://doi.org/10.26508/lsa.202201396.

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