Cargando…
Clusters of inflammation in COVID-19: descriptive analysis and prognosis on more than 15,000 patients from the Spanish SEMI-COVID-19 Registry
Uncontrolled inflammation following COVID-19 infection is an important characteristic of the most seriously ill patients. The present study aims to describe the clusters of inflammation in COVID-19 and to analyze their prognostic role. This is a retrospective observational study including 15,691 pat...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890024/ https://www.ncbi.nlm.nih.gov/pubmed/35235131 http://dx.doi.org/10.1007/s11739-021-02924-4 |
_version_ | 1784661541545574400 |
---|---|
author | Rubio-Rivas, Manuel Mora-Luján, José María Formiga, Francesc Corrales González, Miguel Ángel García Andreu, María del Mar Moreno-Torres, Víctor García García, Gema María Alcalá Pedrajas, José N Boixeda, Ramon Pérez-Lluna, Leticia Cortés-Rodríguez, Begoña Mella-Pérez, Carmen Navas Alcántara, María de la Sierra López Reboiro, Manuel Lorenzo Alfaro-Lara, Verónica Pérez-Martín, Santiago Martín-Oterino, José Ángel Gracia Gutiérrez, Anyuli Martín-Urda Díez-Canseco, Anabel Comas Casanova, Pere Pérez García, Cristina Varona, José F Gómez-Huelgas, Ricardo Antón-Santos, Juan-Miguel Lumbreras-Bermejo, Carlos |
author_facet | Rubio-Rivas, Manuel Mora-Luján, José María Formiga, Francesc Corrales González, Miguel Ángel García Andreu, María del Mar Moreno-Torres, Víctor García García, Gema María Alcalá Pedrajas, José N Boixeda, Ramon Pérez-Lluna, Leticia Cortés-Rodríguez, Begoña Mella-Pérez, Carmen Navas Alcántara, María de la Sierra López Reboiro, Manuel Lorenzo Alfaro-Lara, Verónica Pérez-Martín, Santiago Martín-Oterino, José Ángel Gracia Gutiérrez, Anyuli Martín-Urda Díez-Canseco, Anabel Comas Casanova, Pere Pérez García, Cristina Varona, José F Gómez-Huelgas, Ricardo Antón-Santos, Juan-Miguel Lumbreras-Bermejo, Carlos |
author_sort | Rubio-Rivas, Manuel |
collection | PubMed |
description | Uncontrolled inflammation following COVID-19 infection is an important characteristic of the most seriously ill patients. The present study aims to describe the clusters of inflammation in COVID-19 and to analyze their prognostic role. This is a retrospective observational study including 15,691 patients with a high degree of inflammation. They were included in the Spanish SEMI-COVID-19 registry from March 1, 2020 to May 1, 2021. The primary outcome was in-hospital mortality. Hierarchical cluster analysis identified 7 clusters. C1 is characterized by lymphopenia, C2 by elevated ferritin, and C3 by elevated LDH. C4 is characterized by lymphopenia plus elevated CRP and LDH and frequently also ferritin. C5 is defined by elevated CRP, and C6 by elevated ferritin and D-dimer, and frequently also elevated CRP and LDH. Finally, C7 is characterized by an elevated D-dimer. The clusters with the highest in-hospital mortality were C4, C6, and C7 (17.4% vs. 18% vs. 15.6% vs. 36.8% vs. 17.5% vs. 39.3% vs. 26.4%). Inflammation clusters were found as independent factors for in-hospital mortality. In detail and, having cluster C1 as reference, the model revealed a worse prognosis for all other clusters: C2 (OR = 1.30, p = 0.001), C3 (OR = 1.14, p = 0.178), C4 (OR = 2.28, p < 0.001), C5 (OR = 1.07, p = 0.479), C6 (OR = 2.29, p < 0.001), and C7 (OR = 1.28, p = 0.001). We identified 7 groups based on the presence of lymphopenia, elevated CRP, LDH, ferritin, and D-dimer at the time of hospital admission for COVID-19. Clusters C4 (lymphopenia + LDH + CRP), C6 (ferritin + D-dimer), and C7 (D-dimer) had the worst prognosis in terms of in-hospital mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11739-021-02924-4. |
format | Online Article Text |
id | pubmed-8890024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-88900242022-03-04 Clusters of inflammation in COVID-19: descriptive analysis and prognosis on more than 15,000 patients from the Spanish SEMI-COVID-19 Registry Rubio-Rivas, Manuel Mora-Luján, José María Formiga, Francesc Corrales González, Miguel Ángel García Andreu, María del Mar Moreno-Torres, Víctor García García, Gema María Alcalá Pedrajas, José N Boixeda, Ramon Pérez-Lluna, Leticia Cortés-Rodríguez, Begoña Mella-Pérez, Carmen Navas Alcántara, María de la Sierra López Reboiro, Manuel Lorenzo Alfaro-Lara, Verónica Pérez-Martín, Santiago Martín-Oterino, José Ángel Gracia Gutiérrez, Anyuli Martín-Urda Díez-Canseco, Anabel Comas Casanova, Pere Pérez García, Cristina Varona, José F Gómez-Huelgas, Ricardo Antón-Santos, Juan-Miguel Lumbreras-Bermejo, Carlos Intern Emerg Med Im - Original Uncontrolled inflammation following COVID-19 infection is an important characteristic of the most seriously ill patients. The present study aims to describe the clusters of inflammation in COVID-19 and to analyze their prognostic role. This is a retrospective observational study including 15,691 patients with a high degree of inflammation. They were included in the Spanish SEMI-COVID-19 registry from March 1, 2020 to May 1, 2021. The primary outcome was in-hospital mortality. Hierarchical cluster analysis identified 7 clusters. C1 is characterized by lymphopenia, C2 by elevated ferritin, and C3 by elevated LDH. C4 is characterized by lymphopenia plus elevated CRP and LDH and frequently also ferritin. C5 is defined by elevated CRP, and C6 by elevated ferritin and D-dimer, and frequently also elevated CRP and LDH. Finally, C7 is characterized by an elevated D-dimer. The clusters with the highest in-hospital mortality were C4, C6, and C7 (17.4% vs. 18% vs. 15.6% vs. 36.8% vs. 17.5% vs. 39.3% vs. 26.4%). Inflammation clusters were found as independent factors for in-hospital mortality. In detail and, having cluster C1 as reference, the model revealed a worse prognosis for all other clusters: C2 (OR = 1.30, p = 0.001), C3 (OR = 1.14, p = 0.178), C4 (OR = 2.28, p < 0.001), C5 (OR = 1.07, p = 0.479), C6 (OR = 2.29, p < 0.001), and C7 (OR = 1.28, p = 0.001). We identified 7 groups based on the presence of lymphopenia, elevated CRP, LDH, ferritin, and D-dimer at the time of hospital admission for COVID-19. Clusters C4 (lymphopenia + LDH + CRP), C6 (ferritin + D-dimer), and C7 (D-dimer) had the worst prognosis in terms of in-hospital mortality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11739-021-02924-4. Springer International Publishing 2022-03-02 2022 /pmc/articles/PMC8890024/ /pubmed/35235131 http://dx.doi.org/10.1007/s11739-021-02924-4 Text en © The Author(s), under exclusive licence to Società Italiana di Medicina Interna (SIMI) 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Im - Original Rubio-Rivas, Manuel Mora-Luján, José María Formiga, Francesc Corrales González, Miguel Ángel García Andreu, María del Mar Moreno-Torres, Víctor García García, Gema María Alcalá Pedrajas, José N Boixeda, Ramon Pérez-Lluna, Leticia Cortés-Rodríguez, Begoña Mella-Pérez, Carmen Navas Alcántara, María de la Sierra López Reboiro, Manuel Lorenzo Alfaro-Lara, Verónica Pérez-Martín, Santiago Martín-Oterino, José Ángel Gracia Gutiérrez, Anyuli Martín-Urda Díez-Canseco, Anabel Comas Casanova, Pere Pérez García, Cristina Varona, José F Gómez-Huelgas, Ricardo Antón-Santos, Juan-Miguel Lumbreras-Bermejo, Carlos Clusters of inflammation in COVID-19: descriptive analysis and prognosis on more than 15,000 patients from the Spanish SEMI-COVID-19 Registry |
title | Clusters of inflammation in COVID-19: descriptive analysis and prognosis on more than 15,000 patients from the Spanish SEMI-COVID-19 Registry |
title_full | Clusters of inflammation in COVID-19: descriptive analysis and prognosis on more than 15,000 patients from the Spanish SEMI-COVID-19 Registry |
title_fullStr | Clusters of inflammation in COVID-19: descriptive analysis and prognosis on more than 15,000 patients from the Spanish SEMI-COVID-19 Registry |
title_full_unstemmed | Clusters of inflammation in COVID-19: descriptive analysis and prognosis on more than 15,000 patients from the Spanish SEMI-COVID-19 Registry |
title_short | Clusters of inflammation in COVID-19: descriptive analysis and prognosis on more than 15,000 patients from the Spanish SEMI-COVID-19 Registry |
title_sort | clusters of inflammation in covid-19: descriptive analysis and prognosis on more than 15,000 patients from the spanish semi-covid-19 registry |
topic | Im - Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890024/ https://www.ncbi.nlm.nih.gov/pubmed/35235131 http://dx.doi.org/10.1007/s11739-021-02924-4 |
work_keys_str_mv | AT rubiorivasmanuel clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT moralujanjosemaria clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT formigafrancesc clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT corralesgonzalezmiguelangel clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT garciaandreumariadelmar clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT morenotorresvictor clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT garciagarciagemamaria clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT alcalapedrajasjosen clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT boixedaramon clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT perezllunaleticia clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT cortesrodriguezbegona clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT mellaperezcarmen clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT navasalcantaramariadelasierra clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT lopezreboiromanuellorenzo clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT alfarolaraveronica clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT perezmartinsantiago clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT martinoterinojoseangel clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT graciagutierrezanyuli clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT martinurdadiezcansecoanabel clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT comascasanovapere clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT perezgarciacristina clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT varonajosef clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT gomezhuelgasricardo clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT antonsantosjuanmiguel clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT lumbrerasbermejocarlos clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry AT clustersofinflammationincovid19descriptiveanalysisandprognosisonmorethan15000patientsfromthespanishsemicovid19registry |