Alimohammad Fatemi, Elaheh Keivani-Boroujeni, Abbas Smiley
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Predictors of SLEDAI were obtained by backward linear regression analyses.</p><p><strong>Results: </strong>During the follow-up period, 47 patients had at least one episode of severe lupus flare. Mean (SD) age of patients with severe flare versus no flare was 31.7 (7.89) and 38.3 (8.24) years, respectively (P = 0.001). Ten (62.5%) out of 16 males and 37 (35.5%) out of 104 females had severe flare (P = 0.04). History of lupus nephritis (LN) was recorded in 76.5% and 44% of patients with severe flare and no severe flare, respectively (P = 0.001). Thirty-five (29.2%) patients with high anti-double-stranded DNA (anti-ds-DNA antibody) and 12 (10%) with negative anti-ds-DNA antibody had severe lupus flare (P = 0.02). By multivariable logistic regression analysis, younger age (OR = 0.87, 95% CI 0.80-0.94, P = 0.0001), history of LN (OR = 4.66, 95% CI 1.55-14.002, P = 0.006) and high SLEDAI at the first visit (OR = 1.19, 95% CI 1.026-1.38) were the main predictors of flare. When severe lupus flare after the first visit was used as the outcome variable, similar findings were observed but, SLEDAI, although left among the final predictors in the model, was not significant. SLEDAIs in future visits were mainly predicted by Anti-ds-DNA antibody, 24-h urine protein and arthritis at the first visit.</p><p><strong>Conclusion: </strong>SLE patients with younger age, history of previous LN or high baseline SLEDAI, may need closer monitoring and follow up.</p>","PeriodicalId":9150,"journal":{"name":"BMC Rheumatology","volume":"7 1","pages":"10"},"PeriodicalIF":2.1000,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207823/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predictors of severe lupus flare: a prospective follow-up study.\",\"authors\":\"Alimohammad Fatemi, Elaheh Keivani-Boroujeni, Abbas Smiley\",\"doi\":\"10.1186/s41927-023-00333-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Flare-up of systemic lupus erythematosus (SLE) is a common characteristic that could have deleterious effects on patients' outcome and survival. The aim of this study was to identify the predictors of severe lupus flare.</p><p><strong>Methods: </strong>120 patients with SLE were enrolled and followed-up for 23 months. Demographic, clinical manifestations, laboratory parameters and disease activity were recorded at each visit. In addition, presence of severe lupus flare at each visit was evaluated by using the Safety of Estrogens in Lupus Erythematosus National Assessment (SELENA)-SLE disease activity index (SLEDAI) flare composite index. Predictors of severe lupus flare were obtained by backward logistic regression analyses. Predictors of SLEDAI were obtained by backward linear regression analyses.</p><p><strong>Results: </strong>During the follow-up period, 47 patients had at least one episode of severe lupus flare. Mean (SD) age of patients with severe flare versus no flare was 31.7 (7.89) and 38.3 (8.24) years, respectively (P = 0.001). Ten (62.5%) out of 16 males and 37 (35.5%) out of 104 females had severe flare (P = 0.04). History of lupus nephritis (LN) was recorded in 76.5% and 44% of patients with severe flare and no severe flare, respectively (P = 0.001). Thirty-five (29.2%) patients with high anti-double-stranded DNA (anti-ds-DNA antibody) and 12 (10%) with negative anti-ds-DNA antibody had severe lupus flare (P = 0.02). By multivariable logistic regression analysis, younger age (OR = 0.87, 95% CI 0.80-0.94, P = 0.0001), history of LN (OR = 4.66, 95% CI 1.55-14.002, P = 0.006) and high SLEDAI at the first visit (OR = 1.19, 95% CI 1.026-1.38) were the main predictors of flare. When severe lupus flare after the first visit was used as the outcome variable, similar findings were observed but, SLEDAI, although left among the final predictors in the model, was not significant. SLEDAIs in future visits were mainly predicted by Anti-ds-DNA antibody, 24-h urine protein and arthritis at the first visit.</p><p><strong>Conclusion: </strong>SLE patients with younger age, history of previous LN or high baseline SLEDAI, may need closer monitoring and follow up.</p>\",\"PeriodicalId\":9150,\"journal\":{\"name\":\"BMC Rheumatology\",\"volume\":\"7 1\",\"pages\":\"10\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2023-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207823/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Rheumatology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s41927-023-00333-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RHEUMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Rheumatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41927-023-00333-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:系统性红斑狼疮(SLE)的突然发作是一种常见的特征,可能对患者的预后和生存产生有害影响。本研究的目的是确定严重狼疮发作的预测因素。方法:选取120例SLE患者,随访23个月。每次访问时记录人口统计学、临床表现、实验室参数和疾病活动。此外,通过使用雌激素在红斑狼疮国家评估(SELENA)-SLE疾病活动性指数(SLEDAI)耀斑复合指数来评估每次就诊时是否存在严重狼疮耀斑。通过逆向logistic回归分析获得严重狼疮发作的预测因子。通过反向线性回归分析获得SLEDAI的预测因子。结果:在随访期间,47例患者至少有一次严重狼疮发作。严重耀斑患者与无耀斑患者的平均(SD)年龄分别为31.7(7.89)岁和38.3(8.24)岁(P = 0.001)。16例男性患者中有10例(62.5%),104例女性患者中有37例(35.5%)发生严重耀斑(P = 0.04)。重度发作和无重度发作患者中分别有76.5%和44%有狼疮性肾炎(LN)病史(P = 0.001)。高抗双链DNA(抗ds-DNA抗体)患者35例(29.2%),抗ds-DNA抗体阴性患者12例(10%)发生严重狼疮发作(P = 0.02)。多变量logistic回归分析显示,年龄较轻(OR = 0.87, 95% CI 0.80-0.94, P = 0.0001)、LN病史(OR = 4.66, 95% CI 1.55-14.002, P = 0.006)和首次就诊时SLEDAI较高(OR = 1.19, 95% CI 1.026-1.38)是光照度发生的主要预测因素。当首次就诊后严重狼疮发作用作结果变量时,观察到类似的结果,但是SLEDAI虽然留在模型的最终预测因子中,但并不显著。未来访视SLEDAIs主要通过抗ds- dna抗体、24小时尿蛋白和首次访视时的关节炎来预测。结论:年龄较小、既往有LN病史或SLEDAI基线较高的SLE患者可能需要更密切的监测和随访。
Predictors of severe lupus flare: a prospective follow-up study.
Background: Flare-up of systemic lupus erythematosus (SLE) is a common characteristic that could have deleterious effects on patients' outcome and survival. The aim of this study was to identify the predictors of severe lupus flare.
Methods: 120 patients with SLE were enrolled and followed-up for 23 months. Demographic, clinical manifestations, laboratory parameters and disease activity were recorded at each visit. In addition, presence of severe lupus flare at each visit was evaluated by using the Safety of Estrogens in Lupus Erythematosus National Assessment (SELENA)-SLE disease activity index (SLEDAI) flare composite index. Predictors of severe lupus flare were obtained by backward logistic regression analyses. Predictors of SLEDAI were obtained by backward linear regression analyses.
Results: During the follow-up period, 47 patients had at least one episode of severe lupus flare. Mean (SD) age of patients with severe flare versus no flare was 31.7 (7.89) and 38.3 (8.24) years, respectively (P = 0.001). Ten (62.5%) out of 16 males and 37 (35.5%) out of 104 females had severe flare (P = 0.04). History of lupus nephritis (LN) was recorded in 76.5% and 44% of patients with severe flare and no severe flare, respectively (P = 0.001). Thirty-five (29.2%) patients with high anti-double-stranded DNA (anti-ds-DNA antibody) and 12 (10%) with negative anti-ds-DNA antibody had severe lupus flare (P = 0.02). By multivariable logistic regression analysis, younger age (OR = 0.87, 95% CI 0.80-0.94, P = 0.0001), history of LN (OR = 4.66, 95% CI 1.55-14.002, P = 0.006) and high SLEDAI at the first visit (OR = 1.19, 95% CI 1.026-1.38) were the main predictors of flare. When severe lupus flare after the first visit was used as the outcome variable, similar findings were observed but, SLEDAI, although left among the final predictors in the model, was not significant. SLEDAIs in future visits were mainly predicted by Anti-ds-DNA antibody, 24-h urine protein and arthritis at the first visit.
Conclusion: SLE patients with younger age, history of previous LN or high baseline SLEDAI, may need closer monitoring and follow up.