Clinical significance of non-thyroidal illness syndrome on disease activity and dyslipidemia in patients with SLE
Nonthyroidal illness syndrome (NTIS), also known as low triiodothyronine (T3) syndrome, frequently affects patients with systemic lupus erythematosus (SLE) and may affect lipid metabolism. Dyslipidemia is highly prevalent and associated with the long-term prognosis of SLE. The aim of the present stu...
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| creator | Zhang, Xin Liu, Lirong Ma, Xiaolei Hu, Wei Xu, Xue Huang, Saisai Hua, Bingzhu Wang, Hong Chen, Zhiyong Sun, Lingyun |
| description | Nonthyroidal illness syndrome (NTIS), also known as low triiodothyronine (T3) syndrome, frequently affects patients with systemic lupus erythematosus (SLE) and may affect lipid metabolism. Dyslipidemia is highly prevalent and associated with the long-term prognosis of SLE. The aim of the present study was to explore the clinical significance of NTIS on disease activity and dyslipidemia in patients with SLE.
Clinical and laboratory data were collected retrospectively from 223 patients with SLE. The correlation between free triiodothyronine (FT3), SLE disease activity, and lipid profiles were estimated. The correlation coefficient (r) was calculated using a Pearson's regression model. Univariate and multivariate logistic regression analyses were performed to identify the risk factors for dyslipidemia in SLE.
Serum FT3 levels were negatively correlated with the levels of 24 h urine protein (UP), blood urea nitrogen (BUN), creatinine (Cr) and SLE disease activity index (SLEDAI) (all p < 0.001) in NTIS patients but not in euthyroid patients. ApoB/ApoA1 was significantly correlated with SLEDAI (p < 0.01) in NTIS patients and CRP (p < 0.001) and ESR (p < 0.01) in euthyroid patients. A multivariate analysis revealed that only FT3 exhibited an independent negative association with dyslipidemia (P = 0.01; OR = 0.48; 95% CI 0.27-0.85).
NTIS frequently occurs in patients with SLE. Low FT3 is associated with disease activity in SLE patients complicated with NTIS. Low FT3 is an independent risk factor for dyslipidemia in patients with SLE. |
| doi_str_mv | 10.1371/journal.pone.0231622 |
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Clinical and laboratory data were collected retrospectively from 223 patients with SLE. The correlation between free triiodothyronine (FT3), SLE disease activity, and lipid profiles were estimated. The correlation coefficient (r) was calculated using a Pearson's regression model. Univariate and multivariate logistic regression analyses were performed to identify the risk factors for dyslipidemia in SLE.
Serum FT3 levels were negatively correlated with the levels of 24 h urine protein (UP), blood urea nitrogen (BUN), creatinine (Cr) and SLE disease activity index (SLEDAI) (all p < 0.001) in NTIS patients but not in euthyroid patients. ApoB/ApoA1 was significantly correlated with SLEDAI (p < 0.01) in NTIS patients and CRP (p < 0.001) and ESR (p < 0.01) in euthyroid patients. A multivariate analysis revealed that only FT3 exhibited an independent negative association with dyslipidemia (P = 0.01; OR = 0.48; 95% CI 0.27-0.85).
NTIS frequently occurs in patients with SLE. Low FT3 is associated with disease activity in SLE patients complicated with NTIS. Low FT3 is an independent risk factor for dyslipidemia in patients with SLE.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0231622</identifier><identifier>PMID: 32298352</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Apolipoproteins ; Autoimmune diseases ; Biology and Life Sciences ; Chronic conditions ; Clinical significance ; Correlation ; Correlation coefficient ; Correlation coefficients ; Creatinine ; Disease ; Dyslipidemia ; Hormones ; Hospitals ; Illnesses ; Immunoglobulins ; Immunology ; Laboratories ; Lipid metabolism ; Lipids ; Lupus ; Mathematical analysis ; Medical schools ; Medicine and Health Sciences ; Metabolic disorders ; Metabolism ; Multivariate analysis ; Nitrogen ; Proteins ; Regression analysis ; Regression models ; Rheumatology ; Risk analysis ; Risk factors ; Studies ; Systemic lupus erythematosus ; Thyroid gland ; Thyroid hormones ; Triiodothyronine ; Urea ; Urine</subject><ispartof>PloS one, 2020-04, Vol.15 (4), p.e0231622-e0231622</ispartof><rights>2020 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Zhang et al 2020 Zhang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-58d9fee98b1c07b082d3b542b35394710a5fcc5cf17d9067c6187d882953b9643</citedby><cites>FETCH-LOGICAL-c526t-58d9fee98b1c07b082d3b542b35394710a5fcc5cf17d9067c6187d882953b9643</cites><orcidid>0000-0001-6766-0503</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/PMC7162454/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7162454/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32298352$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Xin</creatorcontrib><creatorcontrib>Liu, Lirong</creatorcontrib><creatorcontrib>Ma, Xiaolei</creatorcontrib><creatorcontrib>Hu, Wei</creatorcontrib><creatorcontrib>Xu, Xue</creatorcontrib><creatorcontrib>Huang, Saisai</creatorcontrib><creatorcontrib>Hua, Bingzhu</creatorcontrib><creatorcontrib>Wang, Hong</creatorcontrib><creatorcontrib>Chen, Zhiyong</creatorcontrib><creatorcontrib>Sun, Lingyun</creatorcontrib><title>Clinical significance of non-thyroidal illness syndrome on disease activity and dyslipidemia in patients with SLE</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Nonthyroidal illness syndrome (NTIS), also known as low triiodothyronine (T3) syndrome, frequently affects patients with systemic lupus erythematosus (SLE) and may affect lipid metabolism. Dyslipidemia is highly prevalent and associated with the long-term prognosis of SLE. The aim of the present study was to explore the clinical significance of NTIS on disease activity and dyslipidemia in patients with SLE.
Clinical and laboratory data were collected retrospectively from 223 patients with SLE. The correlation between free triiodothyronine (FT3), SLE disease activity, and lipid profiles were estimated. The correlation coefficient (r) was calculated using a Pearson's regression model. Univariate and multivariate logistic regression analyses were performed to identify the risk factors for dyslipidemia in SLE.
Serum FT3 levels were negatively correlated with the levels of 24 h urine protein (UP), blood urea nitrogen (BUN), creatinine (Cr) and SLE disease activity index (SLEDAI) (all p < 0.001) in NTIS patients but not in euthyroid patients. ApoB/ApoA1 was significantly correlated with SLEDAI (p < 0.01) in NTIS patients and CRP (p < 0.001) and ESR (p < 0.01) in euthyroid patients. A multivariate analysis revealed that only FT3 exhibited an independent negative association with dyslipidemia (P = 0.01; OR = 0.48; 95% CI 0.27-0.85).
NTIS frequently occurs in patients with SLE. Low FT3 is associated with disease activity in SLE patients complicated with NTIS. Low FT3 is an independent risk factor for dyslipidemia in patients with SLE.</description><subject>Apolipoproteins</subject><subject>Autoimmune diseases</subject><subject>Biology and Life Sciences</subject><subject>Chronic conditions</subject><subject>Clinical significance</subject><subject>Correlation</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Creatinine</subject><subject>Disease</subject><subject>Dyslipidemia</subject><subject>Hormones</subject><subject>Hospitals</subject><subject>Illnesses</subject><subject>Immunoglobulins</subject><subject>Immunology</subject><subject>Laboratories</subject><subject>Lipid metabolism</subject><subject>Lipids</subject><subject>Lupus</subject><subject>Mathematical analysis</subject><subject>Medical schools</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic disorders</subject><subject>Metabolism</subject><subject>Multivariate analysis</subject><subject>Nitrogen</subject><subject>Proteins</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Rheumatology</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Studies</subject><subject>Systemic lupus erythematosus</subject><subject>Thyroid gland</subject><subject>Thyroid hormones</subject><subject>Triiodothyronine</subject><subject>Urea</subject><subject>Urine</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptUk1v1DAUjBCIlsI_QGCJC5cs_ojt-IKEVgUqrcQBOFuOP3a9cuzUzhbl35PdTasWcfKT37x5M_ZU1VsEV4hw9GmfDjmqsBpStCuICWIYP6sukSC4ZhiS54_qi-pVKXsIKWkZe1ldEIxFSyi-rG7XwUevVQDFb6N3cxm1BcmBmGI97qacvJm7PoRoSwFliianfkZEYHyxqlig9Ojv_DgBFQ0wUwl-8Mb2XgEfwaBGb-NYwB8_7sDPzfXr6oVTodg3y3lV_f56_Wv9vd78-Haz_rKpNcVsrGlrhLNWtB3SkHewxYZ0tMEdoUQ0HEFFndZUO8SNgIxrhlpu2hYLSjrBGnJVvT_zDiEVubxWkZjMaNIgSmfEzRlhktrLIfte5Ukm5eXpIuWtVHn0OlgpmBJQIGeQFQ0zTohONYY7xAwXqsEz1-dl26HrrdGz5azCE9Knneh3cpvuJJ__raFHuR8XgpxuD7aMsvdF2xBUtOlw0o0Eb9Fp14d_oP9315xROqdSsnUPYhCUxwTdT8ljguSSoHns3WMjD0P3kSF_AcFBxXI</recordid><startdate>20200416</startdate><enddate>20200416</enddate><creator>Zhang, Xin</creator><creator>Liu, 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significance of non-thyroidal illness syndrome on disease activity and dyslipidemia in patients with SLE</title><author>Zhang, Xin ; Liu, Lirong ; Ma, Xiaolei ; Hu, Wei ; Xu, Xue ; Huang, Saisai ; Hua, Bingzhu ; Wang, Hong ; Chen, Zhiyong ; Sun, Lingyun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-58d9fee98b1c07b082d3b542b35394710a5fcc5cf17d9067c6187d882953b9643</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Apolipoproteins</topic><topic>Autoimmune diseases</topic><topic>Biology and Life Sciences</topic><topic>Chronic conditions</topic><topic>Clinical significance</topic><topic>Correlation</topic><topic>Correlation coefficient</topic><topic>Correlation 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One</addtitle><date>2020-04-16</date><risdate>2020</risdate><volume>15</volume><issue>4</issue><spage>e0231622</spage><epage>e0231622</epage><pages>e0231622-e0231622</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Nonthyroidal illness syndrome (NTIS), also known as low triiodothyronine (T3) syndrome, frequently affects patients with systemic lupus erythematosus (SLE) and may affect lipid metabolism. Dyslipidemia is highly prevalent and associated with the long-term prognosis of SLE. The aim of the present study was to explore the clinical significance of NTIS on disease activity and dyslipidemia in patients with SLE.
Clinical and laboratory data were collected retrospectively from 223 patients with SLE. The correlation between free triiodothyronine (FT3), SLE disease activity, and lipid profiles were estimated. The correlation coefficient (r) was calculated using a Pearson's regression model. Univariate and multivariate logistic regression analyses were performed to identify the risk factors for dyslipidemia in SLE.
Serum FT3 levels were negatively correlated with the levels of 24 h urine protein (UP), blood urea nitrogen (BUN), creatinine (Cr) and SLE disease activity index (SLEDAI) (all p < 0.001) in NTIS patients but not in euthyroid patients. ApoB/ApoA1 was significantly correlated with SLEDAI (p < 0.01) in NTIS patients and CRP (p < 0.001) and ESR (p < 0.01) in euthyroid patients. A multivariate analysis revealed that only FT3 exhibited an independent negative association with dyslipidemia (P = 0.01; OR = 0.48; 95% CI 0.27-0.85).
NTIS frequently occurs in patients with SLE. Low FT3 is associated with disease activity in SLE patients complicated with NTIS. Low FT3 is an independent risk factor for dyslipidemia in patients with SLE.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32298352</pmid><doi>10.1371/journal.pone.0231622</doi><orcidid>https://orcid.org/0000-0001-6766-0503</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Apolipoproteins Autoimmune diseases Biology and Life Sciences Chronic conditions Clinical significance Correlation Correlation coefficient Correlation coefficients Creatinine Disease Dyslipidemia Hormones Hospitals Illnesses Immunoglobulins Immunology Laboratories Lipid metabolism Lipids Lupus Mathematical analysis Medical schools Medicine and Health Sciences Metabolic disorders Metabolism Multivariate analysis Nitrogen Proteins Regression analysis Regression models Rheumatology Risk analysis Risk factors Studies Systemic lupus erythematosus Thyroid gland Thyroid hormones Triiodothyronine Urea Urine |
| title | Clinical significance of non-thyroidal illness syndrome on disease activity and dyslipidemia in patients with SLE |
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