316
Views
16
CrossRef citations to date
0
Altmetric
Original Articles: Connective Tissue Diseases and Related Disorders

Prevalence, outcome and prognostic factors of neuropsychiatric systemic lupus erythematosus: A real world single center study

, , , , , , & show all
Pages 321-326 | Received 07 Dec 2018, Accepted 20 Feb 2019, Published online: 08 Apr 2019
 

Abstract

Objectives: To investigate the prevalence, outcome and prognostic factors of neuropsychiatric systemic lupus erythematosus (NPSLE).

Methods: SLE inpatients from 2005 to 2016 were included. Information on survival duration and causes of death was collected. Data were analyzed using Kaplan–Meier curves, log-rank tests and Cox proportional hazards modeling.

Results: Among 1589 SLE patients, 101 (6.4%) were diagnosed with NPSLE. The overall survival rates of the NPSLE patients were 89%, 85% and 84% at 1, 3 and 5 years, respectively. The standardized mortality ratio of NPSLE patients was 11.14. The most common cause of death was NPSLE related conditions (7, 47%), including intracranial hypertension syndrome, cerebrovascular disease and motor neuron disease. The following variables were associated with death: cardiac involvement, renal involvement, diffuse NPSLE, acute confusional state, more than one NPSLE manifestation, low lymphocyte count, elevated C-reactive protein, abnormal cerebrospinal fluid (CSF) and high systemic lupus erythematosus disease activity index. Acute confusional state (p = .001), elevated intracranial pressure (p = .010) and C-reactive protein (CRP) (p = .032) were independently predictive factors of death.

Conclusion: Our study demonstrates an 11.14-fold increased mortality of NPSLE patients compared with general population. NPSLE related disorders are main causes of death. Acute confusional state is the most significant predictive factor for poor prognosis.

Acknowledgments

We wish to thank Tao Wu (Associate professor, Department of Epidemiology and Bio-statistics, Peking University, School of Public Health, Beijing 100083, China) for assisting us in calculating the SMR.

Conflict of interest

None.

Additional information

Funding

This work was supported by Peking University People's Hospital Scientific Research Development Funds [RDY2017-05 to X.L.], the Fund for Fostering Young Scholars of Peking University Health Science Center [BMU2017MX011 to X.L.] and the fund from National Natural Science Foundation of China [81801619 to X.L.].

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.