Comparison of the responsiveness of lupus disease activity measures to changes in systemic lupus erythematosus activity relevant to patients and physicians

2002 ◽  
Vol 55 (5) ◽  
pp. 488-497 ◽  
Author(s):  
Erika Chang ◽  
Michal Abrahamowicz ◽  
Diane Ferland ◽  
Paul R Fortin ◽  
for
2010 ◽  
Vol 38 (1) ◽  
pp. 60-63 ◽  
Author(s):  
DOMINIQUE IBAÑEZ ◽  
DAFNA D. GLADMAN ◽  
ZAHI TOUMA ◽  
MANDANA NIKPOUR ◽  
MURRAY B. UROWITZ

Objective.Adjusted mean Systemic Lupus Erythematosus Disease Activity Index (SLEDAI; AMS) measures lupus disease activity over time. Our aim was to determine optimal visit frequency for calculating AMS.Methods.Patients followed monthly for 12 consecutive visits were included. AMS was calculated using all of the SLEDAI 2000 (AMSGOLD using all 12 visits), only quarterly visits (AMS3, using visits 3 months apart), semiannual visits (AMS6, using first, middle, and last visits only), and annual visits (AMS12, using only the first and last visits). Comparisons of AMS3, AMS6, and AMS12 with AMSGOLD are made using descriptive statistics.Results.Seventy-eight patients were included (92% women, mean age at SLE diagnosis 30.1 yrs and at study start 46.2 yrs). The mean (SD) AMSGOLD for the entire year was 2.05 (1.66), for AMS3 1.99 (1.65), for AMS6 2.12 (1.87), and for AMS12 2.08 (1.83). Mean (SD) of the absolute differences with AMSGOLD: for AMS3 0.29 (0.33), for AMS6 0.45 (0.59), and for AMS12 0.61 (0.58). Differences that were < 0.5 were considered minimal while those ≥ 1 were deemed important. Comparing AMSGOLD to AMS3, 82% of the differences were minimal and 3% were important. When comparing to AMS6, 68% were minimal and 10% were important, while comparing to AMS12, 50% were minimal and 21% were important.Conclusion.Usual clinic visits occurring quarterly offer a good estimation of disease activity over a 1-year period and are preferred over semiannual and annual visits.


Rheumatology ◽  
2017 ◽  
pp. kew498 ◽  
Author(s):  
Susannah I. Thornhill ◽  
Anselm Mak ◽  
Bernett Lee ◽  
Hui Yin Lee ◽  
Michael Poidinger ◽  
...  

2021 ◽  
Author(s):  
alvina widhani ◽  
Meutia Gebrina ◽  
Rudi Putranto ◽  
Murdani Abdullah ◽  
Ikhwan Rinaldi ◽  
...  

Abstract Background Patients with systemic lupus erythematosus (SLE) often experience anxiety and depression. Recent studies have shown involvement of intestinal dysbiosis in SLE and also psychosomatic disorders. However, there are no reports on the gut microbiota profile of patient with both conditions: SLE and anxiety or depression. We aimed to study gut microbiota profiles among SLE patients with gastrointestinal symptoms and anxiety or depression by sequencing V3–V4 region of the 16S rRNA gene from the stool samples. Results Of the 41 SLE patients who participated in the study, 53.66% had anxiety and 14.63% had depression. We found a higher proportion of Bacteroidetes and lower diversity indices in patients with anxiety than in those without anxiety. We also found a higher proportion of Bacteroidetes and lower Firmicutes/Bacteroidetes ratios and diversity indices in patients with depression than in those without depression. Moreover, compared to other groups, patients with symptoms of both anxiety and depression had the highest proportion of Bacteroidetes and lowest proportion of Firmicutes, Firmicutes/Bacteroidetes ratios, and diversity indices. Further analysis showed that there was a significant correlation between the proportion of Bacteroides and the anxiety score (r = 0.349; p = 0.03) as well as with lupus activity (r = 0.36; p = 0.02). There was also significant correlation between diversity indices and lupus activity (r= -0.34; p = 0.03 for Chao1 index, r= -0.38; p = 0.01 for Shannon index, and r= -0.33; p = 0.03 for richness index). Conclusions SLE patients with both anxiety and depression showed more unfavorable gut dysbiosis parameter compared to SLE patients with only anxiety or depression and SLE patients without anxiety or depression. There was positive correlation between proportion of Bacteroides and lupus disease activity and negative correlation between diversity indices and lupus disease activity.


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