Dataset Information

Association between endometriosis and risk of systemic lupus erythematosus.

ABSTRACT: To examine the association between endometriosis and the risk of systemic lupus erythematosus (SLE), this nationwide, population-based, retrospective cohort study was conducted based on National Health Insurance Research Database in Taiwan. Endometriosis (N?=?16,758) and non-endometriosis (N?=?16,758) groups were identified by matching baseline characteristics and comorbidities. Student's t-tests and the Kaplan-Meier estimator were utilized to estimate the hazard ratio (HR) and cumulative probability of SLE in the two groups. The endometriosis group showed a significantly higher incidence density rate (0.3 vs. 0.1 per 1000 person-years) and hazard ratio in SLE group (adjusted HR [aHR], 2.37; 95% confidence interval [CI] 1.35-4.14) compared to the non-endometriosis group. Subgroup analysis revealed that patients with endometriosis between 30 and 45 years of age, or were non-steroidal anti-inflammatory drug users, or were hormonal medications-free participants, had higher risks of SLE. For patients with endometriosis, surgical intervention did not significantly impact on the risk of SLE. Our results demonstrated an increased risk of SLE in patients with endometriosis. Clinicians should be aware of this association when managing patients with endometriosis or SLE.

SUBMITTER: Fan YH

PROVIDER: S-EPMC7803765 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association between endometriosis and risk of systemic lupus erythematosus.

Fan Yu-Hsi YH Leong Pui-Ying PY Chiou Jeng-Yuan JY Wang Yu-Hsun YH Ku Ming-Hsiang MH Wei James Cheng-Chung JC

Scientific reports 20210112 1

To examine the association between endometriosis and the risk of systemic lupus erythematosus (SLE), this nationwide, population-based, retrospective cohort study was conducted based on National Health Insurance Research Database in Taiwan. Endometriosis (N = 16,758) and non-endometriosis (N = 16,758) groups were identified by matching baseline characteristics and comorbidities. Student's t-tests and the Kaplan-Meier estimator were utilized to estimate the hazard ratio (HR) and cumulative probab ...[more]

PMID: 33436777

Similar Datasets

Project description:BackgroundSystemic lupus erythematosus (SLE) affects many organs and systems of the human organism, at present, its specific pathogenesis is not completely clear, but inflammation is considered to be an important factor involved in the pathogenesis and progression of SLE. Gamma-glutamyl transpeptidase (GGT) and total bilirubin (TBIL) have different effects on inflammation: GGT has pro-inflammatory effects, on the contrary, TBIL has anti-inflammatory effects. Study has found that GGT and TBIL play opposite roles in metabolic diseases. However, the roles of them in SLE are unknown. Meanwhile, the relationship between GGT and SLE also remains unexplored.MethodWe recruited 341 SLE patients and 332 healthy individuals in Liaocheng People's Hospital from August 2018 to May 2019. We diagnosed SLE using 2019 revised American College of Rheumatology (ACR) SLE criteria, and modeled the study outcomes using logistic regression to explore the respective relationship between GGT, TBIL and SLE. We also analyzed the interaction of GGT and TBIL in the progression of SLE.ResultsWe found that the levels of CRP, IL-6 and TNF-α in the aggravated group were significantly higher than those in the unaggravated group, the levels of C3 and C4 in the aggravated group were significantly lower than those in the unaggravated group. According to Spearman correlation analysis, GGT is proportional to CRP (rs=0.417) and IL-6 (rs=0.412), inversely proportional to C3 (rs=-0.177) and C4 (rs=0.-132). TBIL was inversely proportional to CRP (rs=-0.328) and TNF(rs=-0.360), and positively proportional to C3 (rs=0.174) and C4 (rs=0.172). In the fully adjusted model, compared to the lowest quartile, the highest quartile of GGT exhibited a positive association with the risk of SLE aggravation (OR=2.99, 95% CI: 1.42-6.31, P<0.001). At the same time, compared to the highest quartile, the quartile lowest of TBIL exhibited a positive association with the risk of SLE aggravation (OR=2.66, 95% CI: 1.27-5.59, P<0.001) in the fully adjusted model. Through interaction analysis, we found that women with high GGT levels had an increased risk of SLE aggravation when they had a low level of TBIL (OR=3.68, 95% CI: 1.51-9.01, for women with Q1 TBIL and Q4 GGT compared to women with Q2-Q4 TBIL and Q1-Q3 GGT, P for interaction <0.001), the combined AUC value (AUCCOMBINED=0.711) of high GGT level and TBIL were higher than their respective values (AUCGGT=0.612, AUCTBIL=0.614).ConclusionWe found that the effects of GGT and TBIL in the progression of SLE are opposite. High GGT level might be a risk factor for SLE aggravation, as GGT levels increased, so did the risk of SLE aggravation. At the same time, we found that low TBIL level might be a risk factor for SLE aggravation. Moreover, high GGT level and low TBIL level had a subadditive effect on the increased risk of SLE aggravation.

Project description:ObjectiveTo identify interactions between genetic factors and current or recent smoking in relation to risk of developing systemic lupus erythematosus (SLE).MethodsFor the study, 673 patients with SLE (diagnosed according to the American College of Rheumatology 1997 updated classification criteria) were matched by age, sex, and race (first 3 genetic principal components) to 3,272 control subjects without a history of connective tissue disease. Smoking status was classified as current smoking/having recently quit smoking within 4 years before diagnosis (or matched index date for controls) versus distant past/never smoking. In total, 86 single-nucleotide polymorphisms and 10 classic HLA alleles previously associated with SLE were included in a weighted genetic risk score (wGRS), with scores dichotomized as either low or high based on the median value in control subjects (low wGRS being defined as less than or equal to the control median; high wGRS being defined as greater than the control median). Conditional logistic regression models were used to estimate both the risk of SLE and risk of anti-double-stranded DNA autoantibody-positive (dsDNA+) SLE. Additive interactions were assessed using the attributable proportion (AP) due to interaction, and multiplicative interactions were assessed using a chi-square test (with 1 degree of freedom) for the wGRS and for individual risk alleles. Separate repeated analyses were carried out among subjects of European ancestry only.ResultsThe mean ± SD age of the SLE patients at the time of diagnosis was 36.4 ± 15.3 years. Among the 673 SLE patients included, 92.3% were female and 59.3% were dsDNA+. Ethnic distributions were as follows: 75.6% of European ancestry, 4.5% of Asian ancestry, 11.7% of African ancestry, and 8.2% classified as other ancestry. A high wGRS (odds ratio [OR] 2.0, P = 1.0 × 10-51 versus low wGRS) and a status of current/recent smoking (OR 1.5, P = 0.0003 versus distant past/never smoking) were strongly associated with SLE risk, with significant additive interaction (AP 0.33, P = 0.0012), and associations with the risk of anti-dsDNA+ SLE were even stronger. No significant multiplicative interactions with the total wGRS (P = 0.58) or with the HLA-only wGRS (P = 0.06) were found. Findings were similar in analyses restricted to only subjects of European ancestry.ConclusionThe strong additive interaction between an updated SLE genetic risk score and current/recent smoking suggests that smoking may influence specific genes in the pathogenesis of SLE.

Dataset Information

Association between endometriosis and risk of systemic lupus erythematosus.

Publications

Association between endometriosis and risk of systemic lupus erythematosus.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure