Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus

Background and objectives: Systemic Lupus Erythematosus (SLE) follow-up is based on clinical, and analytical parameters. We aimed to determine the differences between the Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR) and Red blood cell distribution width (RDW) between SLE patients and healthy controls and to assess their association with anemia status, classical inflammatory biomarkers and cytokines, disease activity, SLE related factors and treatment received for SLE. Methods: Seventy-seven patients with SLE according to 2012 SLICC criteria and 80 healthy controls were included. Patients with SLE were classified in SLE with anemia (SLE-a) and SLE without anemia (SLE-na). Statistical analysis between SLE patients and controls and the association of serological and clinical activity markers with proposed hematological indices among SLE patients were performed. Results: RDW, NLR and PLR, were significantly higher in SLE patients than in healthy control group (p < 0.001), in SLE-a patients as compared to SLE-na (p < 0.0001) and were significantly associated with hypocomplementemia (p < 0.05). PLR was higher in active patients measured by SLEDAI-2K score and with longer disease duration (p < 0.05). RDW was associated with serological activity of the patients (p < 0.05) and was correlated with SLEDAI-2K and SLICC/ACR scores, hsCRP, D-dimer, fibrinogen, IL-6 and TNF as well as with corticosteroids intake (p = 0.05). A logistic regression analysis confirmed that after adjustment by age and hemoglobin values, RDW presented linear correlation with IL-6 levels (Beta-coefficient = 0.369, p = 0.003). Conclusion: NLR, PLR and RDW values suggest SLE serological and clinical activity. Given their availability, these markers not only could be useful tools to identify and monitor active SLE patients but whose application should be considered in inflammatory pathologies orchestrated by IL-6 and TNF. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Víctor Moreno-Torres [verfasserIn] Raquel Castejón [verfasserIn] Susana Mellor-Pita [verfasserIn] Pablo Tutor-Ureta [verfasserIn] Pedro Durán-del Campo [verfasserIn] María Martínez-Urbistondo [verfasserIn] José Vázquez-Comendador [verfasserIn] Ángela Gutierrez-Rojas [verfasserIn] Silvia Rosado [verfasserIn] Juan A. Vargas-Nuñez [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Red blood cell distribution width Neutrophil-to-lymphocyte ratio Platelet-to-lymphocyte ratio IL-6 Systemic lupus erythematosus

Übergeordnetes Werk:	In: Journal of Translational Autoimmunity - Elsevier, 2020, 5(2022), Seite 100157-
Übergeordnetes Werk:	volume:5 ; year:2022 ; pages:100157-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.jtauto.2022.100157

Katalog-ID:	DOAJ083311653

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520			\|a Background and objectives: Systemic Lupus Erythematosus (SLE) follow-up is based on clinical, and analytical parameters. We aimed to determine the differences between the Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR) and Red blood cell distribution width (RDW) between SLE patients and healthy controls and to assess their association with anemia status, classical inflammatory biomarkers and cytokines, disease activity, SLE related factors and treatment received for SLE. Methods: Seventy-seven patients with SLE according to 2012 SLICC criteria and 80 healthy controls were included. Patients with SLE were classified in SLE with anemia (SLE-a) and SLE without anemia (SLE-na). Statistical analysis between SLE patients and controls and the association of serological and clinical activity markers with proposed hematological indices among SLE patients were performed. Results: RDW, NLR and PLR, were significantly higher in SLE patients than in healthy control group (p < 0.001), in SLE-a patients as compared to SLE-na (p < 0.0001) and were significantly associated with hypocomplementemia (p < 0.05). PLR was higher in active patients measured by SLEDAI-2K score and with longer disease duration (p < 0.05). RDW was associated with serological activity of the patients (p < 0.05) and was correlated with SLEDAI-2K and SLICC/ACR scores, hsCRP, D-dimer, fibrinogen, IL-6 and TNF as well as with corticosteroids intake (p = 0.05). A logistic regression analysis confirmed that after adjustment by age and hemoglobin values, RDW presented linear correlation with IL-6 levels (Beta-coefficient = 0.369, p = 0.003). Conclusion: NLR, PLR and RDW values suggest SLE serological and clinical activity. Given their availability, these markers not only could be useful tools to identify and monitor active SLE patients but whose application should be considered in inflammatory pathologies orchestrated by IL-6 and TNF.
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allfields	10.1016/j.jtauto.2022.100157 doi (DE-627)DOAJ083311653 (DE-599)DOAJ4d14a29155c6446798f55479787ed55b DE-627 ger DE-627 rakwb eng RC581-607 Víctor Moreno-Torres verfasserin aut Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and objectives: Systemic Lupus Erythematosus (SLE) follow-up is based on clinical, and analytical parameters. We aimed to determine the differences between the Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR) and Red blood cell distribution width (RDW) between SLE patients and healthy controls and to assess their association with anemia status, classical inflammatory biomarkers and cytokines, disease activity, SLE related factors and treatment received for SLE. Methods: Seventy-seven patients with SLE according to 2012 SLICC criteria and 80 healthy controls were included. Patients with SLE were classified in SLE with anemia (SLE-a) and SLE without anemia (SLE-na). Statistical analysis between SLE patients and controls and the association of serological and clinical activity markers with proposed hematological indices among SLE patients were performed. Results: RDW, NLR and PLR, were significantly higher in SLE patients than in healthy control group (p < 0.001), in SLE-a patients as compared to SLE-na (p < 0.0001) and were significantly associated with hypocomplementemia (p < 0.05). PLR was higher in active patients measured by SLEDAI-2K score and with longer disease duration (p < 0.05). RDW was associated with serological activity of the patients (p < 0.05) and was correlated with SLEDAI-2K and SLICC/ACR scores, hsCRP, D-dimer, fibrinogen, IL-6 and TNF as well as with corticosteroids intake (p = 0.05). A logistic regression analysis confirmed that after adjustment by age and hemoglobin values, RDW presented linear correlation with IL-6 levels (Beta-coefficient = 0.369, p = 0.003). Conclusion: NLR, PLR and RDW values suggest SLE serological and clinical activity. Given their availability, these markers not only could be useful tools to identify and monitor active SLE patients but whose application should be considered in inflammatory pathologies orchestrated by IL-6 and TNF. Red blood cell distribution width Neutrophil-to-lymphocyte ratio Platelet-to-lymphocyte ratio IL-6 Systemic lupus erythematosus Immunologic diseases. Allergy Raquel Castejón verfasserin aut Susana Mellor-Pita verfasserin aut Pablo Tutor-Ureta verfasserin aut Pedro Durán-del Campo verfasserin aut María Martínez-Urbistondo verfasserin aut José Vázquez-Comendador verfasserin aut Ángela Gutierrez-Rojas verfasserin aut Silvia Rosado verfasserin aut Juan A. Vargas-Nuñez verfasserin aut In Journal of Translational Autoimmunity Elsevier, 2020 5(2022), Seite 100157- (DE-627)1691028606 25899090 nnns volume:5 year:2022 pages:100157- https://doi.org/10.1016/j.jtauto.2022.100157 kostenfrei https://doaj.org/article/4d14a29155c6446798f55479787ed55b kostenfrei http://www.sciencedirect.com/science/article/pii/S2589909022000181 kostenfrei https://doaj.org/toc/2589-9090 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2022 100157-
spelling	10.1016/j.jtauto.2022.100157 doi (DE-627)DOAJ083311653 (DE-599)DOAJ4d14a29155c6446798f55479787ed55b DE-627 ger DE-627 rakwb eng RC581-607 Víctor Moreno-Torres verfasserin aut Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and objectives: Systemic Lupus Erythematosus (SLE) follow-up is based on clinical, and analytical parameters. We aimed to determine the differences between the Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR) and Red blood cell distribution width (RDW) between SLE patients and healthy controls and to assess their association with anemia status, classical inflammatory biomarkers and cytokines, disease activity, SLE related factors and treatment received for SLE. Methods: Seventy-seven patients with SLE according to 2012 SLICC criteria and 80 healthy controls were included. Patients with SLE were classified in SLE with anemia (SLE-a) and SLE without anemia (SLE-na). Statistical analysis between SLE patients and controls and the association of serological and clinical activity markers with proposed hematological indices among SLE patients were performed. Results: RDW, NLR and PLR, were significantly higher in SLE patients than in healthy control group (p < 0.001), in SLE-a patients as compared to SLE-na (p < 0.0001) and were significantly associated with hypocomplementemia (p < 0.05). PLR was higher in active patients measured by SLEDAI-2K score and with longer disease duration (p < 0.05). RDW was associated with serological activity of the patients (p < 0.05) and was correlated with SLEDAI-2K and SLICC/ACR scores, hsCRP, D-dimer, fibrinogen, IL-6 and TNF as well as with corticosteroids intake (p = 0.05). A logistic regression analysis confirmed that after adjustment by age and hemoglobin values, RDW presented linear correlation with IL-6 levels (Beta-coefficient = 0.369, p = 0.003). Conclusion: NLR, PLR and RDW values suggest SLE serological and clinical activity. Given their availability, these markers not only could be useful tools to identify and monitor active SLE patients but whose application should be considered in inflammatory pathologies orchestrated by IL-6 and TNF. Red blood cell distribution width Neutrophil-to-lymphocyte ratio Platelet-to-lymphocyte ratio IL-6 Systemic lupus erythematosus Immunologic diseases. Allergy Raquel Castejón verfasserin aut Susana Mellor-Pita verfasserin aut Pablo Tutor-Ureta verfasserin aut Pedro Durán-del Campo verfasserin aut María Martínez-Urbistondo verfasserin aut José Vázquez-Comendador verfasserin aut Ángela Gutierrez-Rojas verfasserin aut Silvia Rosado verfasserin aut Juan A. Vargas-Nuñez verfasserin aut In Journal of Translational Autoimmunity Elsevier, 2020 5(2022), Seite 100157- (DE-627)1691028606 25899090 nnns volume:5 year:2022 pages:100157- https://doi.org/10.1016/j.jtauto.2022.100157 kostenfrei https://doaj.org/article/4d14a29155c6446798f55479787ed55b kostenfrei http://www.sciencedirect.com/science/article/pii/S2589909022000181 kostenfrei https://doaj.org/toc/2589-9090 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2022 100157-
allfields_unstemmed	10.1016/j.jtauto.2022.100157 doi (DE-627)DOAJ083311653 (DE-599)DOAJ4d14a29155c6446798f55479787ed55b DE-627 ger DE-627 rakwb eng RC581-607 Víctor Moreno-Torres verfasserin aut Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and objectives: Systemic Lupus Erythematosus (SLE) follow-up is based on clinical, and analytical parameters. We aimed to determine the differences between the Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR) and Red blood cell distribution width (RDW) between SLE patients and healthy controls and to assess their association with anemia status, classical inflammatory biomarkers and cytokines, disease activity, SLE related factors and treatment received for SLE. Methods: Seventy-seven patients with SLE according to 2012 SLICC criteria and 80 healthy controls were included. Patients with SLE were classified in SLE with anemia (SLE-a) and SLE without anemia (SLE-na). Statistical analysis between SLE patients and controls and the association of serological and clinical activity markers with proposed hematological indices among SLE patients were performed. Results: RDW, NLR and PLR, were significantly higher in SLE patients than in healthy control group (p < 0.001), in SLE-a patients as compared to SLE-na (p < 0.0001) and were significantly associated with hypocomplementemia (p < 0.05). PLR was higher in active patients measured by SLEDAI-2K score and with longer disease duration (p < 0.05). RDW was associated with serological activity of the patients (p < 0.05) and was correlated with SLEDAI-2K and SLICC/ACR scores, hsCRP, D-dimer, fibrinogen, IL-6 and TNF as well as with corticosteroids intake (p = 0.05). A logistic regression analysis confirmed that after adjustment by age and hemoglobin values, RDW presented linear correlation with IL-6 levels (Beta-coefficient = 0.369, p = 0.003). Conclusion: NLR, PLR and RDW values suggest SLE serological and clinical activity. Given their availability, these markers not only could be useful tools to identify and monitor active SLE patients but whose application should be considered in inflammatory pathologies orchestrated by IL-6 and TNF. Red blood cell distribution width Neutrophil-to-lymphocyte ratio Platelet-to-lymphocyte ratio IL-6 Systemic lupus erythematosus Immunologic diseases. Allergy Raquel Castejón verfasserin aut Susana Mellor-Pita verfasserin aut Pablo Tutor-Ureta verfasserin aut Pedro Durán-del Campo verfasserin aut María Martínez-Urbistondo verfasserin aut José Vázquez-Comendador verfasserin aut Ángela Gutierrez-Rojas verfasserin aut Silvia Rosado verfasserin aut Juan A. Vargas-Nuñez verfasserin aut In Journal of Translational Autoimmunity Elsevier, 2020 5(2022), Seite 100157- (DE-627)1691028606 25899090 nnns volume:5 year:2022 pages:100157- https://doi.org/10.1016/j.jtauto.2022.100157 kostenfrei https://doaj.org/article/4d14a29155c6446798f55479787ed55b kostenfrei http://www.sciencedirect.com/science/article/pii/S2589909022000181 kostenfrei https://doaj.org/toc/2589-9090 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2022 100157-
allfieldsGer	10.1016/j.jtauto.2022.100157 doi (DE-627)DOAJ083311653 (DE-599)DOAJ4d14a29155c6446798f55479787ed55b DE-627 ger DE-627 rakwb eng RC581-607 Víctor Moreno-Torres verfasserin aut Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and objectives: Systemic Lupus Erythematosus (SLE) follow-up is based on clinical, and analytical parameters. We aimed to determine the differences between the Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR) and Red blood cell distribution width (RDW) between SLE patients and healthy controls and to assess their association with anemia status, classical inflammatory biomarkers and cytokines, disease activity, SLE related factors and treatment received for SLE. Methods: Seventy-seven patients with SLE according to 2012 SLICC criteria and 80 healthy controls were included. Patients with SLE were classified in SLE with anemia (SLE-a) and SLE without anemia (SLE-na). Statistical analysis between SLE patients and controls and the association of serological and clinical activity markers with proposed hematological indices among SLE patients were performed. Results: RDW, NLR and PLR, were significantly higher in SLE patients than in healthy control group (p < 0.001), in SLE-a patients as compared to SLE-na (p < 0.0001) and were significantly associated with hypocomplementemia (p < 0.05). PLR was higher in active patients measured by SLEDAI-2K score and with longer disease duration (p < 0.05). RDW was associated with serological activity of the patients (p < 0.05) and was correlated with SLEDAI-2K and SLICC/ACR scores, hsCRP, D-dimer, fibrinogen, IL-6 and TNF as well as with corticosteroids intake (p = 0.05). A logistic regression analysis confirmed that after adjustment by age and hemoglobin values, RDW presented linear correlation with IL-6 levels (Beta-coefficient = 0.369, p = 0.003). Conclusion: NLR, PLR and RDW values suggest SLE serological and clinical activity. Given their availability, these markers not only could be useful tools to identify and monitor active SLE patients but whose application should be considered in inflammatory pathologies orchestrated by IL-6 and TNF. Red blood cell distribution width Neutrophil-to-lymphocyte ratio Platelet-to-lymphocyte ratio IL-6 Systemic lupus erythematosus Immunologic diseases. Allergy Raquel Castejón verfasserin aut Susana Mellor-Pita verfasserin aut Pablo Tutor-Ureta verfasserin aut Pedro Durán-del Campo verfasserin aut María Martínez-Urbistondo verfasserin aut José Vázquez-Comendador verfasserin aut Ángela Gutierrez-Rojas verfasserin aut Silvia Rosado verfasserin aut Juan A. Vargas-Nuñez verfasserin aut In Journal of Translational Autoimmunity Elsevier, 2020 5(2022), Seite 100157- (DE-627)1691028606 25899090 nnns volume:5 year:2022 pages:100157- https://doi.org/10.1016/j.jtauto.2022.100157 kostenfrei https://doaj.org/article/4d14a29155c6446798f55479787ed55b kostenfrei http://www.sciencedirect.com/science/article/pii/S2589909022000181 kostenfrei https://doaj.org/toc/2589-9090 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2022 100157-
allfieldsSound	10.1016/j.jtauto.2022.100157 doi (DE-627)DOAJ083311653 (DE-599)DOAJ4d14a29155c6446798f55479787ed55b DE-627 ger DE-627 rakwb eng RC581-607 Víctor Moreno-Torres verfasserin aut Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background and objectives: Systemic Lupus Erythematosus (SLE) follow-up is based on clinical, and analytical parameters. We aimed to determine the differences between the Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR) and Red blood cell distribution width (RDW) between SLE patients and healthy controls and to assess their association with anemia status, classical inflammatory biomarkers and cytokines, disease activity, SLE related factors and treatment received for SLE. Methods: Seventy-seven patients with SLE according to 2012 SLICC criteria and 80 healthy controls were included. Patients with SLE were classified in SLE with anemia (SLE-a) and SLE without anemia (SLE-na). Statistical analysis between SLE patients and controls and the association of serological and clinical activity markers with proposed hematological indices among SLE patients were performed. Results: RDW, NLR and PLR, were significantly higher in SLE patients than in healthy control group (p < 0.001), in SLE-a patients as compared to SLE-na (p < 0.0001) and were significantly associated with hypocomplementemia (p < 0.05). PLR was higher in active patients measured by SLEDAI-2K score and with longer disease duration (p < 0.05). RDW was associated with serological activity of the patients (p < 0.05) and was correlated with SLEDAI-2K and SLICC/ACR scores, hsCRP, D-dimer, fibrinogen, IL-6 and TNF as well as with corticosteroids intake (p = 0.05). A logistic regression analysis confirmed that after adjustment by age and hemoglobin values, RDW presented linear correlation with IL-6 levels (Beta-coefficient = 0.369, p = 0.003). Conclusion: NLR, PLR and RDW values suggest SLE serological and clinical activity. Given their availability, these markers not only could be useful tools to identify and monitor active SLE patients but whose application should be considered in inflammatory pathologies orchestrated by IL-6 and TNF. Red blood cell distribution width Neutrophil-to-lymphocyte ratio Platelet-to-lymphocyte ratio IL-6 Systemic lupus erythematosus Immunologic diseases. Allergy Raquel Castejón verfasserin aut Susana Mellor-Pita verfasserin aut Pablo Tutor-Ureta verfasserin aut Pedro Durán-del Campo verfasserin aut María Martínez-Urbistondo verfasserin aut José Vázquez-Comendador verfasserin aut Ángela Gutierrez-Rojas verfasserin aut Silvia Rosado verfasserin aut Juan A. Vargas-Nuñez verfasserin aut In Journal of Translational Autoimmunity Elsevier, 2020 5(2022), Seite 100157- (DE-627)1691028606 25899090 nnns volume:5 year:2022 pages:100157- https://doi.org/10.1016/j.jtauto.2022.100157 kostenfrei https://doaj.org/article/4d14a29155c6446798f55479787ed55b kostenfrei http://www.sciencedirect.com/science/article/pii/S2589909022000181 kostenfrei https://doaj.org/toc/2589-9090 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 5 2022 100157-
language	English
source	In Journal of Translational Autoimmunity 5(2022), Seite 100157- volume:5 year:2022 pages:100157-
sourceStr	In Journal of Translational Autoimmunity 5(2022), Seite 100157- volume:5 year:2022 pages:100157-
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topic_facet	Red blood cell distribution width Neutrophil-to-lymphocyte ratio Platelet-to-lymphocyte ratio IL-6 Systemic lupus erythematosus Immunologic diseases. Allergy
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container_title	Journal of Translational Autoimmunity
authorswithroles_txt_mv	Víctor Moreno-Torres @@aut@@ Raquel Castejón @@aut@@ Susana Mellor-Pita @@aut@@ Pablo Tutor-Ureta @@aut@@ Pedro Durán-del Campo @@aut@@ María Martínez-Urbistondo @@aut@@ José Vázquez-Comendador @@aut@@ Ángela Gutierrez-Rojas @@aut@@ Silvia Rosado @@aut@@ Juan A. Vargas-Nuñez @@aut@@
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callnumber-first	R - Medicine
author	Víctor Moreno-Torres
spellingShingle	Víctor Moreno-Torres misc RC581-607 misc Red blood cell distribution width misc Neutrophil-to-lymphocyte ratio misc Platelet-to-lymphocyte ratio misc IL-6 misc Systemic lupus erythematosus misc Immunologic diseases. Allergy Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus
authorStr	Víctor Moreno-Torres
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topic_title	RC581-607 Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus Red blood cell distribution width Neutrophil-to-lymphocyte ratio Platelet-to-lymphocyte ratio IL-6 Systemic lupus erythematosus
topic	misc RC581-607 misc Red blood cell distribution width misc Neutrophil-to-lymphocyte ratio misc Platelet-to-lymphocyte ratio misc IL-6 misc Systemic lupus erythematosus misc Immunologic diseases. Allergy
topic_unstemmed	misc RC581-607 misc Red blood cell distribution width misc Neutrophil-to-lymphocyte ratio misc Platelet-to-lymphocyte ratio misc IL-6 misc Systemic lupus erythematosus misc Immunologic diseases. Allergy
topic_browse	misc RC581-607 misc Red blood cell distribution width misc Neutrophil-to-lymphocyte ratio misc Platelet-to-lymphocyte ratio misc IL-6 misc Systemic lupus erythematosus misc Immunologic diseases. Allergy
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title	Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus
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title_full	Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus
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author_browse	Víctor Moreno-Torres Raquel Castejón Susana Mellor-Pita Pablo Tutor-Ureta Pedro Durán-del Campo María Martínez-Urbistondo José Vázquez-Comendador Ángela Gutierrez-Rojas Silvia Rosado Juan A. Vargas-Nuñez
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title_sort	usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus
callnumber	RC581-607
title_auth	Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus
abstract	Background and objectives: Systemic Lupus Erythematosus (SLE) follow-up is based on clinical, and analytical parameters. We aimed to determine the differences between the Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR) and Red blood cell distribution width (RDW) between SLE patients and healthy controls and to assess their association with anemia status, classical inflammatory biomarkers and cytokines, disease activity, SLE related factors and treatment received for SLE. Methods: Seventy-seven patients with SLE according to 2012 SLICC criteria and 80 healthy controls were included. Patients with SLE were classified in SLE with anemia (SLE-a) and SLE without anemia (SLE-na). Statistical analysis between SLE patients and controls and the association of serological and clinical activity markers with proposed hematological indices among SLE patients were performed. Results: RDW, NLR and PLR, were significantly higher in SLE patients than in healthy control group (p < 0.001), in SLE-a patients as compared to SLE-na (p < 0.0001) and were significantly associated with hypocomplementemia (p < 0.05). PLR was higher in active patients measured by SLEDAI-2K score and with longer disease duration (p < 0.05). RDW was associated with serological activity of the patients (p < 0.05) and was correlated with SLEDAI-2K and SLICC/ACR scores, hsCRP, D-dimer, fibrinogen, IL-6 and TNF as well as with corticosteroids intake (p = 0.05). A logistic regression analysis confirmed that after adjustment by age and hemoglobin values, RDW presented linear correlation with IL-6 levels (Beta-coefficient = 0.369, p = 0.003). Conclusion: NLR, PLR and RDW values suggest SLE serological and clinical activity. Given their availability, these markers not only could be useful tools to identify and monitor active SLE patients but whose application should be considered in inflammatory pathologies orchestrated by IL-6 and TNF.
abstractGer	Background and objectives: Systemic Lupus Erythematosus (SLE) follow-up is based on clinical, and analytical parameters. We aimed to determine the differences between the Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR) and Red blood cell distribution width (RDW) between SLE patients and healthy controls and to assess their association with anemia status, classical inflammatory biomarkers and cytokines, disease activity, SLE related factors and treatment received for SLE. Methods: Seventy-seven patients with SLE according to 2012 SLICC criteria and 80 healthy controls were included. Patients with SLE were classified in SLE with anemia (SLE-a) and SLE without anemia (SLE-na). Statistical analysis between SLE patients and controls and the association of serological and clinical activity markers with proposed hematological indices among SLE patients were performed. Results: RDW, NLR and PLR, were significantly higher in SLE patients than in healthy control group (p < 0.001), in SLE-a patients as compared to SLE-na (p < 0.0001) and were significantly associated with hypocomplementemia (p < 0.05). PLR was higher in active patients measured by SLEDAI-2K score and with longer disease duration (p < 0.05). RDW was associated with serological activity of the patients (p < 0.05) and was correlated with SLEDAI-2K and SLICC/ACR scores, hsCRP, D-dimer, fibrinogen, IL-6 and TNF as well as with corticosteroids intake (p = 0.05). A logistic regression analysis confirmed that after adjustment by age and hemoglobin values, RDW presented linear correlation with IL-6 levels (Beta-coefficient = 0.369, p = 0.003). Conclusion: NLR, PLR and RDW values suggest SLE serological and clinical activity. Given their availability, these markers not only could be useful tools to identify and monitor active SLE patients but whose application should be considered in inflammatory pathologies orchestrated by IL-6 and TNF.
abstract_unstemmed	Background and objectives: Systemic Lupus Erythematosus (SLE) follow-up is based on clinical, and analytical parameters. We aimed to determine the differences between the Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR) and Red blood cell distribution width (RDW) between SLE patients and healthy controls and to assess their association with anemia status, classical inflammatory biomarkers and cytokines, disease activity, SLE related factors and treatment received for SLE. Methods: Seventy-seven patients with SLE according to 2012 SLICC criteria and 80 healthy controls were included. Patients with SLE were classified in SLE with anemia (SLE-a) and SLE without anemia (SLE-na). Statistical analysis between SLE patients and controls and the association of serological and clinical activity markers with proposed hematological indices among SLE patients were performed. Results: RDW, NLR and PLR, were significantly higher in SLE patients than in healthy control group (p < 0.001), in SLE-a patients as compared to SLE-na (p < 0.0001) and were significantly associated with hypocomplementemia (p < 0.05). PLR was higher in active patients measured by SLEDAI-2K score and with longer disease duration (p < 0.05). RDW was associated with serological activity of the patients (p < 0.05) and was correlated with SLEDAI-2K and SLICC/ACR scores, hsCRP, D-dimer, fibrinogen, IL-6 and TNF as well as with corticosteroids intake (p = 0.05). A logistic regression analysis confirmed that after adjustment by age and hemoglobin values, RDW presented linear correlation with IL-6 levels (Beta-coefficient = 0.369, p = 0.003). Conclusion: NLR, PLR and RDW values suggest SLE serological and clinical activity. Given their availability, these markers not only could be useful tools to identify and monitor active SLE patients but whose application should be considered in inflammatory pathologies orchestrated by IL-6 and TNF.
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title_short	Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus
url	https://doi.org/10.1016/j.jtauto.2022.100157 https://doaj.org/article/4d14a29155c6446798f55479787ed55b http://www.sciencedirect.com/science/article/pii/S2589909022000181 https://doaj.org/toc/2589-9090
remote_bool	true
author2	Raquel Castejón Susana Mellor-Pita Pablo Tutor-Ureta Pedro Durán-del Campo María Martínez-Urbistondo José Vázquez-Comendador Ángela Gutierrez-Rojas Silvia Rosado Juan A. Vargas-Nuñez
author2Str	Raquel Castejón Susana Mellor-Pita Pablo Tutor-Ureta Pedro Durán-del Campo María Martínez-Urbistondo José Vázquez-Comendador Ángela Gutierrez-Rojas Silvia Rosado Juan A. Vargas-Nuñez
ppnlink	1691028606
callnumber-subject	RC - Internal Medicine
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1016/j.jtauto.2022.100157
callnumber-a	RC581-607
up_date	2024-07-03T16:45:37.171Z
_version_	1803577078236315648
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Results: RDW, NLR and PLR, were significantly higher in SLE patients than in healthy control group (p < 0.001), in SLE-a patients as compared to SLE-na (p < 0.0001) and were significantly associated with hypocomplementemia (p < 0.05). PLR was higher in active patients measured by SLEDAI-2K score and with longer disease duration (p < 0.05). RDW was associated with serological activity of the patients (p < 0.05) and was correlated with SLEDAI-2K and SLICC/ACR scores, hsCRP, D-dimer, fibrinogen, IL-6 and TNF as well as with corticosteroids intake (p = 0.05). A logistic regression analysis confirmed that after adjustment by age and hemoglobin values, RDW presented linear correlation with IL-6 levels (Beta-coefficient = 0.369, p = 0.003). Conclusion: NLR, PLR and RDW values suggest SLE serological and clinical activity. 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Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus

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