Sjögren’s Syndrome: The Clinical Spectrum of Male Patients
Background: To compare the clinical, serological and histologic features between male and female patients with Sjögren’s syndrome (SS) and explore the potential effect of gender on lymphoma development. Methods: From a multicenter population (Universities of Udine, Pisa and Athens, Harokopion and Io...
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| Veröffentlicht in: | Journal of clinical medicine 2020-08, Vol.9 (8), p.2620 |
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| creator | Chatzis, Loukas Pezoulas, Vasileios C. Ferro, Francesco Gandolfo, Saviana Donati, Valentina Binutti, Marco Callegher, Sara Zandonella Venetsanopoulou, Aliki Zampeli, Evangelia Mavrommati, Maria Argyropoulou, Ourania D. Michalopoulos, Giorgos Voulgari, Paraskevi V. Exarchos, Themis Baldini, Chiara Skopouli, Fotini N. Fotiadis, Dimitrios I. De Vita, Salvatore Moutsopoulos, Haralampos M. Tzioufas, Athanasios G. Goules, Andreas V. |
| description | Background: To compare the clinical, serological and histologic features between male and female patients with Sjögren’s syndrome (SS) and explore the potential effect of gender on lymphoma development. Methods: From a multicenter population (Universities of Udine, Pisa and Athens, Harokopion and Ioannina (UPAHI)) consisting of consecutive SS patients fulfilling the 2016 ACR/EULAR criteria, male patients were identified, matched and compared with female controls. Data-driven multivariable logistic regression analysis was applied to identify independent lymphoma-associated factors. Results: From 1987 consecutive SS patients, 96 males and 192 matched female controls were identified and compared. Males had a higher frequency of lymphoma compared to females (18% vs. 5.2%, OR = 3.89, 95% CI: 1.66 to 8.67; p = 0.0014) and an increased prevalence of serum anti-La/SSB antibodies (50% vs. 34%, OR = 1.953, 95% CI: 1.19 to 3.25; p = 0.0128). No differences were observed in the frequencies of lymphoma predictors between the two genders. Data-driven multivariable logistic regression analysis revealed negative association of the female gender with lymphoma and positive association with lymphadenopathy. Conclusion: Male SS patients carry an increased risk of lymphoma development. Although statistics showed no difference in classical lymphoma predictors compared to females, data-driven analysis revealed gender and lymphadenopathy as independent lymphoma-associated features. |
| doi_str_mv | 10.3390/jcm9082620 |
| format | Article |
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Methods: From a multicenter population (Universities of Udine, Pisa and Athens, Harokopion and Ioannina (UPAHI)) consisting of consecutive SS patients fulfilling the 2016 ACR/EULAR criteria, male patients were identified, matched and compared with female controls. Data-driven multivariable logistic regression analysis was applied to identify independent lymphoma-associated factors. Results: From 1987 consecutive SS patients, 96 males and 192 matched female controls were identified and compared. Males had a higher frequency of lymphoma compared to females (18% vs. 5.2%, OR = 3.89, 95% CI: 1.66 to 8.67; p = 0.0014) and an increased prevalence of serum anti-La/SSB antibodies (50% vs. 34%, OR = 1.953, 95% CI: 1.19 to 3.25; p = 0.0128). No differences were observed in the frequencies of lymphoma predictors between the two genders. Data-driven multivariable logistic regression analysis revealed negative association of the female gender with lymphoma and positive association with lymphadenopathy. Conclusion: Male SS patients carry an increased risk of lymphoma development. Although statistics showed no difference in classical lymphoma predictors compared to females, data-driven analysis revealed gender and lymphadenopathy as independent lymphoma-associated features.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm9082620</identifier><identifier>PMID: 32806710</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; Antibodies ; Arthritis ; Autoimmune diseases ; Bioethics ; Clinical medicine ; Datasets ; Disease ; Ethics ; Exocrine glands ; Females ; Gender ; Laboratories ; Lymphoma ; Males ; Pathogenesis ; Patients ; Population ; Purpura ; Risk factors ; Statistical analysis ; X chromosomes</subject><ispartof>Journal of clinical medicine, 2020-08, Vol.9 (8), p.2620</ispartof><rights>2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c383t-d7f35447bb194133b6f55c49f4cec3081e3c51ffada02516c9591e6f29a8e6f73</citedby><cites>FETCH-LOGICAL-c383t-d7f35447bb194133b6f55c49f4cec3081e3c51ffada02516c9591e6f29a8e6f73</cites><orcidid>0000-0002-2832-0116 ; 0000-0002-7362-5082 ; 0000-0002-2101-8512 ; 0000-0002-7473-7262</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463756/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463756/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53770,53772</link.rule.ids></links><search><creatorcontrib>Chatzis, Loukas</creatorcontrib><creatorcontrib>Pezoulas, Vasileios C.</creatorcontrib><creatorcontrib>Ferro, Francesco</creatorcontrib><creatorcontrib>Gandolfo, Saviana</creatorcontrib><creatorcontrib>Donati, Valentina</creatorcontrib><creatorcontrib>Binutti, Marco</creatorcontrib><creatorcontrib>Callegher, Sara Zandonella</creatorcontrib><creatorcontrib>Venetsanopoulou, Aliki</creatorcontrib><creatorcontrib>Zampeli, Evangelia</creatorcontrib><creatorcontrib>Mavrommati, Maria</creatorcontrib><creatorcontrib>Argyropoulou, Ourania D.</creatorcontrib><creatorcontrib>Michalopoulos, Giorgos</creatorcontrib><creatorcontrib>Voulgari, Paraskevi V.</creatorcontrib><creatorcontrib>Exarchos, Themis</creatorcontrib><creatorcontrib>Baldini, Chiara</creatorcontrib><creatorcontrib>Skopouli, Fotini N.</creatorcontrib><creatorcontrib>Fotiadis, Dimitrios I.</creatorcontrib><creatorcontrib>De Vita, Salvatore</creatorcontrib><creatorcontrib>Moutsopoulos, Haralampos M.</creatorcontrib><creatorcontrib>Tzioufas, Athanasios G.</creatorcontrib><creatorcontrib>Goules, Andreas V.</creatorcontrib><title>Sjögren’s Syndrome: The Clinical Spectrum of Male Patients</title><title>Journal of clinical medicine</title><description>Background: To compare the clinical, serological and histologic features between male and female patients with Sjögren’s syndrome (SS) and explore the potential effect of gender on lymphoma development. Methods: From a multicenter population (Universities of Udine, Pisa and Athens, Harokopion and Ioannina (UPAHI)) consisting of consecutive SS patients fulfilling the 2016 ACR/EULAR criteria, male patients were identified, matched and compared with female controls. Data-driven multivariable logistic regression analysis was applied to identify independent lymphoma-associated factors. Results: From 1987 consecutive SS patients, 96 males and 192 matched female controls were identified and compared. Males had a higher frequency of lymphoma compared to females (18% vs. 5.2%, OR = 3.89, 95% CI: 1.66 to 8.67; p = 0.0014) and an increased prevalence of serum anti-La/SSB antibodies (50% vs. 34%, OR = 1.953, 95% CI: 1.19 to 3.25; p = 0.0128). No differences were observed in the frequencies of lymphoma predictors between the two genders. Data-driven multivariable logistic regression analysis revealed negative association of the female gender with lymphoma and positive association with lymphadenopathy. Conclusion: Male SS patients carry an increased risk of lymphoma development. Although statistics showed no difference in classical lymphoma predictors compared to females, data-driven analysis revealed gender and lymphadenopathy as independent lymphoma-associated features.</description><subject>Algorithms</subject><subject>Antibodies</subject><subject>Arthritis</subject><subject>Autoimmune diseases</subject><subject>Bioethics</subject><subject>Clinical medicine</subject><subject>Datasets</subject><subject>Disease</subject><subject>Ethics</subject><subject>Exocrine glands</subject><subject>Females</subject><subject>Gender</subject><subject>Laboratories</subject><subject>Lymphoma</subject><subject>Males</subject><subject>Pathogenesis</subject><subject>Patients</subject><subject>Population</subject><subject>Purpura</subject><subject>Risk factors</subject><subject>Statistical analysis</subject><subject>X 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chatzis, Loukas</au><au>Pezoulas, Vasileios C.</au><au>Ferro, Francesco</au><au>Gandolfo, Saviana</au><au>Donati, Valentina</au><au>Binutti, Marco</au><au>Callegher, Sara Zandonella</au><au>Venetsanopoulou, Aliki</au><au>Zampeli, Evangelia</au><au>Mavrommati, Maria</au><au>Argyropoulou, Ourania D.</au><au>Michalopoulos, Giorgos</au><au>Voulgari, Paraskevi V.</au><au>Exarchos, Themis</au><au>Baldini, Chiara</au><au>Skopouli, Fotini N.</au><au>Fotiadis, Dimitrios I.</au><au>De Vita, Salvatore</au><au>Moutsopoulos, Haralampos M.</au><au>Tzioufas, Athanasios G.</au><au>Goules, Andreas V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sjögren’s Syndrome: The Clinical Spectrum of Male Patients</atitle><jtitle>Journal of clinical medicine</jtitle><date>2020-08-12</date><risdate>2020</risdate><volume>9</volume><issue>8</issue><spage>2620</spage><pages>2620-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>Background: To compare the clinical, serological and histologic features between male and female patients with Sjögren’s syndrome (SS) and explore the potential effect of gender on lymphoma development. Methods: From a multicenter population (Universities of Udine, Pisa and Athens, Harokopion and Ioannina (UPAHI)) consisting of consecutive SS patients fulfilling the 2016 ACR/EULAR criteria, male patients were identified, matched and compared with female controls. Data-driven multivariable logistic regression analysis was applied to identify independent lymphoma-associated factors. Results: From 1987 consecutive SS patients, 96 males and 192 matched female controls were identified and compared. Males had a higher frequency of lymphoma compared to females (18% vs. 5.2%, OR = 3.89, 95% CI: 1.66 to 8.67; p = 0.0014) and an increased prevalence of serum anti-La/SSB antibodies (50% vs. 34%, OR = 1.953, 95% CI: 1.19 to 3.25; p = 0.0128). No differences were observed in the frequencies of lymphoma predictors between the two genders. Data-driven multivariable logistic regression analysis revealed negative association of the female gender with lymphoma and positive association with lymphadenopathy. Conclusion: Male SS patients carry an increased risk of lymphoma development. Although statistics showed no difference in classical lymphoma predictors compared to females, data-driven analysis revealed gender and lymphadenopathy as independent lymphoma-associated features.</abstract><cop>Basel</cop><pub>MDPI AG</pub><pmid>32806710</pmid><doi>10.3390/jcm9082620</doi><orcidid>https://orcid.org/0000-0002-2832-0116</orcidid><orcidid>https://orcid.org/0000-0002-7362-5082</orcidid><orcidid>https://orcid.org/0000-0002-2101-8512</orcidid><orcidid>https://orcid.org/0000-0002-7473-7262</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; PubMed Central |
| subjects | Algorithms Antibodies Arthritis Autoimmune diseases Bioethics Clinical medicine Datasets Disease Ethics Exocrine glands Females Gender Laboratories Lymphoma Males Pathogenesis Patients Population Purpura Risk factors Statistical analysis X chromosomes |
| title | Sjögren’s Syndrome: The Clinical Spectrum of Male Patients |
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