Blood composite scores in patients with systemic lupus erythematosus

Complete blood count-derived ratios have been described as inflammatory biomarkers in several diseases. These hematological scores include the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammatory index ([SIRI];...

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Autores: Mercader-Salvans, Júlia, García-González, María, Quevedo-Abeledo, Juan C., Quevedo-Rodríguez, Adrián, Romo-Cordero, Alejandro, Ojeda-Bruno, Soledad, Gómez-Bernal, Fuensanta, López Mejías, Raquel, Martín-González, Candelaria, González-Gay Mantecón, Miguel Ángel, Ferraz-Amaro, Iván
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/31018
Acceso en línea:https://hdl.handle.net/10902/31018
Access Level:acceso abierto
Palabra clave:Hematological composite scores
Systemic inflammation response index
Systemic lupus erythematosus
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spelling Blood composite scores in patients with systemic lupus erythematosusMercader-Salvans, JúliaGarcía-González, MaríaQuevedo-Abeledo, Juan C.Quevedo-Rodríguez, AdriánRomo-Cordero, AlejandroOjeda-Bruno, SoledadGómez-Bernal, FuensantaLópez Mejías, RaquelMartín-González, CandelariaGonzález-Gay Mantecón, Miguel ÁngelFerraz-Amaro, IvánHematological composite scoresSystemic inflammation response indexSystemic lupus erythematosusComplete blood count-derived ratios have been described as inflammatory biomarkers in several diseases. These hematological scores include the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammatory index ([SIRI]; neutrophils × monocytes/lymphocytes). Our aim was to study how these biomarkers are related to disease expression in a large and well-characterized series of patients with systemic lupus erythematosus (SLE). A total of 284 SLE patients and 181 age- and sex-matched healthy controls were recruited. The NLR, MLR, PLR, and SIRI were calculated, and activity (SLEDAI-2K), severity (Katz), and damage index (SLICC-DI) scores were assessed in patients with SLE. Multivariable linear regression analysis was performed to study whether these scores differ between patients and controls and how they are related to clinical and laboratory features of the disease. Crude cell counts of neutrophils, monocytes, lymphocytes, and platelets were lower in SLE patients compared to controls. Despite this, NLR, MLR, and PRL, but not SIRI, were higher in SLE patients than in controls after multivariable analysis. However, the relationship between the different scores and disease characteristics was limited. Only the Katz severity index revealed a significant positive relationship with SIRI, NLR, and MLR after adjustment for covariates. Similarly, alternative complement cascade activation and low C3 were significantly associated with higher NLR, MLR, and PLR. In conclusion, although cytopenias are a common feature of patients with SLE, hematologic composite scores are independently higher in this population compared to controls. However, the relationship of these scores with the characteristics of the disease is scarce, with the relationship with the complement system being the most consistent.Funding: This work was supported by a grant to I.F.-A. from the Spanish Ministry of Health, Instituto de Salud Carlos III (ISCIII), co-funded by European Regional Development Fund-FEDER- (PI20/00084).MDPI AGUniversidad de Cantabria20232023-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/31018Biomedicines, 2023, 11, 2782reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/310182026-06-02T12:39:31Z
dc.title.none.fl_str_mv Blood composite scores in patients with systemic lupus erythematosus
title Blood composite scores in patients with systemic lupus erythematosus
spellingShingle Blood composite scores in patients with systemic lupus erythematosus
Mercader-Salvans, Júlia
Hematological composite scores
Systemic inflammation response index
Systemic lupus erythematosus
title_short Blood composite scores in patients with systemic lupus erythematosus
title_full Blood composite scores in patients with systemic lupus erythematosus
title_fullStr Blood composite scores in patients with systemic lupus erythematosus
title_full_unstemmed Blood composite scores in patients with systemic lupus erythematosus
title_sort Blood composite scores in patients with systemic lupus erythematosus
dc.creator.none.fl_str_mv Mercader-Salvans, Júlia
García-González, María
Quevedo-Abeledo, Juan C.
Quevedo-Rodríguez, Adrián
Romo-Cordero, Alejandro
Ojeda-Bruno, Soledad
Gómez-Bernal, Fuensanta
López Mejías, Raquel
Martín-González, Candelaria
González-Gay Mantecón, Miguel Ángel
Ferraz-Amaro, Iván
author Mercader-Salvans, Júlia
author_facet Mercader-Salvans, Júlia
García-González, María
Quevedo-Abeledo, Juan C.
Quevedo-Rodríguez, Adrián
Romo-Cordero, Alejandro
Ojeda-Bruno, Soledad
Gómez-Bernal, Fuensanta
López Mejías, Raquel
Martín-González, Candelaria
González-Gay Mantecón, Miguel Ángel
Ferraz-Amaro, Iván
author_role author
author2 García-González, María
Quevedo-Abeledo, Juan C.
Quevedo-Rodríguez, Adrián
Romo-Cordero, Alejandro
Ojeda-Bruno, Soledad
Gómez-Bernal, Fuensanta
López Mejías, Raquel
Martín-González, Candelaria
González-Gay Mantecón, Miguel Ángel
Ferraz-Amaro, Iván
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Hematological composite scores
Systemic inflammation response index
Systemic lupus erythematosus
topic Hematological composite scores
Systemic inflammation response index
Systemic lupus erythematosus
description Complete blood count-derived ratios have been described as inflammatory biomarkers in several diseases. These hematological scores include the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammatory index ([SIRI]; neutrophils × monocytes/lymphocytes). Our aim was to study how these biomarkers are related to disease expression in a large and well-characterized series of patients with systemic lupus erythematosus (SLE). A total of 284 SLE patients and 181 age- and sex-matched healthy controls were recruited. The NLR, MLR, PLR, and SIRI were calculated, and activity (SLEDAI-2K), severity (Katz), and damage index (SLICC-DI) scores were assessed in patients with SLE. Multivariable linear regression analysis was performed to study whether these scores differ between patients and controls and how they are related to clinical and laboratory features of the disease. Crude cell counts of neutrophils, monocytes, lymphocytes, and platelets were lower in SLE patients compared to controls. Despite this, NLR, MLR, and PRL, but not SIRI, were higher in SLE patients than in controls after multivariable analysis. However, the relationship between the different scores and disease characteristics was limited. Only the Katz severity index revealed a significant positive relationship with SIRI, NLR, and MLR after adjustment for covariates. Similarly, alternative complement cascade activation and low C3 were significantly associated with higher NLR, MLR, and PLR. In conclusion, although cytopenias are a common feature of patients with SLE, hematologic composite scores are independently higher in this population compared to controls. However, the relationship of these scores with the characteristics of the disease is scarce, with the relationship with the complement system being the most consistent.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/31018
url https://hdl.handle.net/10902/31018
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv Biomedicines, 2023, 11, 2782
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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