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  • 248 Identification of major clinical characteristics of chinese sle patients and linear correlations among sledai, sf-36 and hads-anxiety using mobile smart system of disease management (ssdm)

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Poster Session
Clinical trials
248 Identification of major clinical characteristics of chinese sle patients and linear correlations among sledai, sf-36 and hads-anxiety using mobile smart system of disease management (ssdm)
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  1. GS Wang1,
  2. J Yang2,
  3. XW Duan3,
  4. ZB Wu4,
  5. JL Huang5,
  6. JL Ru6,
  7. T Xie7,
  8. YF Wang8,
  9. C Zhao9,
  10. R Wu10,
  11. H Wei11,
  12. ZC Zhang12,
  13. ZJ Li13,
  14. HB Li14,
  15. XX Zuo15,
  16. HL Wu16,
  17. YS Li17,
  18. YH Jia18,
  19. F Xiao18 and
  20. XM Li1
  1. 1Anhui Provincial Hospital, Department of rheumatology, Hefei, China
  2. 2Central Hospital of MianYang- Sichuan, Department of rheumatology, MianYang, China
  3. 3The Second Affiliated Hospital of Nanchang University-Nanchang, Department of rheumatology, Nanchang, China
  4. 4The First Affiliated Hospital of The Fourth Military Medical University, Department of Rheumatology and Immunology, Xi’an, China
  5. 5The Sixth Hospital Affiliated to Sun yat-sen University, Department of rheumatology, Guangzhou, China
  6. 6The 264th Hospital of the PLA, Department of rheumatology, Taiyuan, China
  7. 7Affiliated hospital of Guangdong medical University, Department of rheumatology, Zhanjiang, China
  8. 8The First Affiliated Hospital of BaoTou Medical College, Department of rheumatology, Baotou, China
  9. 9The First Affiliated Hospital of Guangxi Medical University, Department of rheumatology, Nanning, China
  10. 10The First Affiliated Hospital of Nanchang University, Department of rheumatology, Nanchang, China
  11. 11Northern Jiangsu People’s Hospital, Department of rheumatology, Yangzhou, China
  12. 12People’s Hospital of Linyi- Shandong, Department of rheumatology, Linyi, China
  13. 13The First Affiliated Hospital of Bengbu Medical College, Department of rheumatology, Bengbu, China
  14. 14The Affiliated Hospital of Inner Mongolia Medical University, Department of rheumatology, Hohhot, China
  15. 15Xiangya Hosipital of Central South University, Department of rheumatology, Changsha, China
  16. 16People’s Hospital of Dongguan, Department of rheumatology, Dongguan, China
  17. 17People’s Hospital of Zhejiang Province, Department of rheumatology, Hangzhou, China
  18. 18Gothic Internet Technology Corporation, Medical Department, Shanghai, China

Abstract

Background and aims The association among SLEDAI, SF-36 and HADS in China was unknown. Smart System of Disease Management (SSDM) is a series of mobile applications for chronic diseases management. The purpose of this study is to describe major clinical characteristics of Chinese SLE patients using SSDM and analyse the potential association among SLEDAI, SF-36 and HADS.

Methods SSDM includes physicians’ and patients’ application system. The patient application system includes SLEDAI, SF-36, HADS and medication management. After data entry, patients can synchronise data to the mobile terminal of authorised rheumatologist. All patients fulfilling the 1997 ACR criteria for SLE were recruited.

Results A total of 3717 SLE patients from 490 rheumatologists in 214 rheumatology centres across China participated in the study (89% were women). The mean age was 34.09±11.87 years and the median disease duration was 3.15 years.1,908 patients performed self-assessment for 3085 times. The mean score of SLEDAI, SF-36, HADS-Anxiety (HADS-A) and HADS-Depression (HADS-D) were 9.41±2.52, 60.09±20.01, 7.86±4.09 and 8.77±4.25 respectively. According to the SLEDAI criteria, 43.71%, 18.50%, 13.42% and 24.37% patients achieved Remission, Low, Moderate and High disease activity. SLEDAI was significantly correlated with SF-36 and HADS-A independently. The regression equation was “SLEDAI=21.753–0.179*SF-36” (p=0.011) and “SLEDAI=0.461+1.114*HADS-A” (p=0.028).

Conclusions SSDM is an effective mobile interface to serve for SLE patients performing self-management as well as to supply physicians with valuable data. SLEDAI was significantly correlated with SF-36 and HADS-A independently.

https://doi.org/10.1136/lupus-2017-000215.248

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