Clusters of inflammation in COVID-19 : descriptive analysis and prognosis on more than 15,000 patients from the Spanish SEMI-COVID-19 Registry

© 2022. The Author(s), under exclusive licence to Società Italiana di Medicina Interna (SIMI)..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:17

Enthalten in:

Internal and emergency medicine - 17(2022), 4 vom: 02. Juni, Seite 1115-1127

Sprache:

Englisch

Beteiligte Personen:

Rubio-Rivas, Manuel [VerfasserIn]
Mora-Luján, José María [VerfasserIn]
Formiga, Francesc [VerfasserIn]
Corrales González, Miguel Ángel [VerfasserIn]
García Andreu, María Del Mar [VerfasserIn]
Moreno-Torres, Víctor [VerfasserIn]
García García, Gema María [VerfasserIn]
Alcalá Pedrajas, José N [VerfasserIn]
Boixeda, Ramon [VerfasserIn]
Pérez-Lluna, Leticia [VerfasserIn]
Cortés-Rodríguez, Begoña [VerfasserIn]
Mella-Pérez, Carmen [VerfasserIn]
Navas Alcántara, María de la Sierra [VerfasserIn]
López Reboiro, Manuel Lorenzo [VerfasserIn]
Alfaro-Lara, Verónica [VerfasserIn]
Pérez-Martín, Santiago [VerfasserIn]
Martín-Oterino, José Ángel [VerfasserIn]
Gracia Gutiérrez, Anyuli [VerfasserIn]
Martín-Urda Díez-Canseco, Anabel [VerfasserIn]
Comas Casanova, Pere [VerfasserIn]
Pérez García, Cristina [VerfasserIn]
Varona, José F [VerfasserIn]
Gómez-Huelgas, Ricardo [VerfasserIn]
Antón-Santos, Juan-Miguel [VerfasserIn]
Lumbreras-Bermejo, Carlos [VerfasserIn]
SEMI-COVID-19 Network [VerfasserIn]

Links:

Volltext

Themen:

9007-73-2
Biomarkers
COVID-19
Cluster analysis
Coronavirus
Ferritins
Inflammation
Journal Article
Mortality
Observational Study
Prognosis

Anmerkungen:

Date Completed 30.05.2022

Date Revised 22.07.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1007/s11739-021-02924-4

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM337663874