Evidence map›Paper›PMID 35235131›Full record

Observational studyInternal and emergency medicine2022

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

Manuel Rubio-Rivas, José María Mora-Luján, Francesc Formiga, Miguel Ángel Corrales González, María Del Mar García Andreu, Víctor Moreno-Torres, Gema María García García, José N Alcalá Pedrajas, Ramon Boixeda, Leticia Pérez-Lluna and 16 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Internal and emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors at 19 institutions in 1 country.

Manuel Rubio-RivasDepartment of Internal Medicine, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, University of Barcelona, L'Hospitalet de Llobregat, 08907, Barcelona, Spain. mrubio@bellvitgehospital.cat.ORCID 0000-0002-9548-1374
José María Mora-LujánDepartment of Internal Medicine, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, University of Barcelona, L'Hospitalet de Llobregat, 08907, Barcelona, Spain.
Francesc FormigaDepartment of Internal Medicine, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, University of Barcelona, L'Hospitalet de Llobregat, 08907, Barcelona, Spain.
Miguel Ángel Corrales GonzálezDepartment of Internal Medicine, Costa del Sol Hospital. Marbella, Málaga, Spain.
María Del Mar García AndreuDepartment of Internal Medicine, Royo Villanova Hospital, Zaragoza, Spain.
Víctor Moreno-TorresDepartment of Internal Medicine, Puerta de Hierro University Hospital, Majadahonda, Madrid, Spain.
Gema María García GarcíaDepartment of Internal Medicine, Badajoz University Hospital, Badajoz, Spain.
José N Alcalá PedrajasDepartment of Internal Medicine, Pozoblanco Hospital. Pozoblanco, Córdoba, Spain.
Ramon BoixedaDepartment of Internal Medicine, Mataró Hospital, Barcelona, Spain.
Leticia Pérez-LlunaDepartment of Internal Medicine, Sagunto Hospital. Sagunto, Valencia, Spain.
Begoña Cortés-RodríguezDepartment of Internal Medicine, Alto Guadalquivir Hospital. Andújar, Jaén, Spain.
Carmen Mella-PérezDepartment of Internal Medicine, Ferrol Clinical University Hospital, El Ferrol, La Coruña, Spain.
María de la Sierra Navas AlcántaraDepartment of Internal Medicine, Infanta Margarita Hospital. Cabra, Córdoba, Spain.
Manuel Lorenzo López ReboiroDepartment of Internal Medicine, Monforte de Lemos Hospital, Monforte de Lemos, Lugo, Spain.
Verónica Alfaro-LaraDepartment of Internal Medicine, Vírgen del Rocío University Hospital, Sevilla, Spain.
Santiago Pérez-MartínDepartment of Internal Medicine, Marina Baixa Hospital, Villajoyosa, Alicante, Spain.
José Ángel Martín-OterinoDepartment of Internal Medicine, Salamanca University Hospital, Salamanca, Spain.
Anyuli Gracia GutiérrezDepartment of Internal Medicine, Defense General Hospital, Zaragoza, Spain.
Anabel Martín-Urda Díez-CansecoDepartment of Internal Medicine, Palamós Hospital. Palamós, Girona, Spain.
Pere Comas CasanovaDepartment of Internal Medicine, Blanes Hospital, Blanes, Spain.
Cristina Pérez GarcíaDepartment of Internal Medicine, Do Salnes Hospital, Vilagarcía de Arousa, Pontevedra, Spain.
José F VaronaDepartment of Internal Medicine, HM Montepríncipe University Hospital, Madrid, Spain.
Ricardo Gómez-HuelgasDepartment of Internal Medicine, Málaga Regional University Hospital, Biomedical Research Institute of Málaga (IBIMA), University of Málaga (UMA), Málaga, Spain.
Juan-Miguel Antón-SantosDepartment of Internal Medicine. Infanta, Cristina University Hospital, Parla, Madrid, Spain.
Carlos Lumbreras-BermejoDepartment of Internal Medicine, 12 de Octubre University Hospital, Madrid, Spain.
SEMI-COVID-19 Network
Bellvitge University Hospital · ESCentre d'Estudis Avançats de Blanes · ESCentro de Implantología Cirugía Oral y Maxilofacial · ESHospital Alto Guadalquivir · ESHospital Costa del Sol · ESHospital de Mataró · ESHospital de Palamós · ESHospital de Sagunto · ESHospital Infanta MargaritaHospital Marina Baixa · ESHospital Monte Naranco · ESHospital Royo Villanova · ESHospital Universitario Infanta Cristina · ESHospital Universitario Puerta de Hierro Majadahonda · ESHospital Universitario Virgen del Rocío · ESInstituto de Salud Carlos III · ESResearch Institute Hospital 12 de Octubre · ESUniversidad de Salamanca · ESUniversidad San Pablo CEU · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19LymphopeniaBiomarkersFerritinsHumansInflammationPrognosisRegistriesRetrospective StudiesSARS-CoV-2BiomarkersFerritinsCluster analysisCoronavirusCOVID-19InflammationMortalityPrognosis

Identifiers

PMID35235131
PMCPMC8890024
OpenAlexW4214859944

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.