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1.
Lupus ; 27(2): 235-242, 2018 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-28650278

RESUMO

Objective The objective of this paper is to investigate the clinical characteristics and prognosis of patients with late-onset systemic lupus erythematosus (SLE) using a prospective observational cohort. Methods Late-onset SLE (≥50 years old) was compared with adult-onset SLE (≥18 and <50 years old) using 1997 ACR classification criteria for SLE, autoantibodies, disease activity measured by Adjusted Mean SLE Disease Activity Index (AMS), and damage measured by Systemic Lupus International Collaborating Clinics/ACR Damage Index (SDI). The standardized mortality ratio (SMR) was calculated. Results A total of 917 patients with SLE were enrolled. The mean number of cumulative ACR criteria in late-onset SLE ( n = 32, 3.5%) was lower than that in adult-onset SLE (4.6 ± 1.2 vs. 5.5 ± 1.4, p < 0.05). The percentage of patients with low complement was lower in late-onset SLE than adult-onset SLE ( p < 0.05). AMS was also lower in late-onset SLE (2.7 ± 2.1 vs. 4.3 ± 2.6, p < 0.01), but SDI was similar between the two groups (50% vs. 43.4%, p = 0.58). The SMR of late-onset SLE was 1.58 (95% CI 0.58-3.43), while the SMR of adult-onset SLE was 3.34 (2.34-4.63). Conclusion Compared with adult-onset SLE, late-onset SLE has a lower number of ACR criteria and lower disease activity. Organ damage is not different, but prognosis and mortality are more favorable.


Assuntos
Autoanticorpos/sangue , Transtornos de Início Tardio/mortalidade , Lúpus Eritematoso Sistêmico/diagnóstico , Lúpus Eritematoso Sistêmico/mortalidade , Adolescente , Adulto , Idade de Início , Idoso , Comorbidade/tendências , Feminino , Humanos , Imunossupressores/uso terapêutico , Lúpus Eritematoso Sistêmico/tratamento farmacológico , Masculino , Pessoa de Meia-Idade , Prognóstico , Estudos Prospectivos , Índice de Gravidade de Doença , Taxa de Sobrevida , Adulto Jovem
2.
Lupus ; 27(8): 1338-1347, 2018 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-29688144

RESUMO

Objective The objective of this paper is to identify the prevalence, risk factors, and impact on mortality of neuropsychiatric systemic lupus erythematosus (NPSLE). Methods Patients from the Hanyang BAE lupus cohort were registered and followed from 1998 to 2015. NPSLE was defined using American College of Rheumatology (ACR) case definitions and Ainiala criteria. Demographics, autoantibodies, Systemic Lupus Erythematosus Disease Activity Index (SLEDAI), and Systemic Lupus International Collaborating Clinic (SLICC)/ACR Damage Index were collected at baseline and then annually. Mortality data were derived by linking data from the Korean National Statistics Office. Multivariable logistic regression and Cox regression analysis were conducted in the inception cohort to assess the risk factors and mortality impact of NPSLE. Results Of 1121 registered patients, 429 (38.3%) had NPSLE manifestations according to ACR criteria and 216 (19.3%) by Ainiala criteria. In multivariable logistic regression analysis, higher SLEDAI (OR 1.08, CI 1.01-1.16, p = 0.02) and antiphospholipid antibody positivity (OR 1.72, CI 1.03-2.87, p = 0.04) at SLE diagnosis increased NPSLE risk, while elevated anti-dsDNA antibodies (OR 0.43, CI 0.24-0.78, p < 0.01) and greater education duration (OR 0.92, CI 0.85-1.00, p = 0.04) showed reduced risk of NPSLE. Cox proportional hazard models demonstrated that presence of NPSLE had a three-fold increased risk of mortality (HR 3.09, CI 1.03-9.21, p = 0.04), especially in patients with focal CNS NPSLE (HR = 7.83, CI 2.12-28.96, p < 0.01). Conclusion Higher SLEDAI, antiphospholipid antibody positivity, absence of anti-dsDNA antibody at SLE diagnosis, and fewer years of education are risk factors for development of NPSLE. Presence of NPSLE, especially focal CNS NPSLE, increased the risk of mortality in SLE patients.


Assuntos
Autoanticorpos/sangue , Vasculite Associada ao Lúpus do Sistema Nervoso Central/imunologia , Vasculite Associada ao Lúpus do Sistema Nervoso Central/mortalidade , Adolescente , Adulto , Feminino , Humanos , Modelos Logísticos , Masculino , Análise Multivariada , Prevalência , Estudos Prospectivos , Fatores de Risco , Índice de Gravidade de Doença , Adulto Jovem
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