Session Information
Session Type: Abstract Submissions (ACR)
Background/Purpose
UCLA GIT2.0 is a validated measure for assessing the severity of gastrointestinal involvement in systemic sclerosis patients (SSc) patients; GI VAS is also a widely used measure of GI effect in patients as a component of SSc health assessment questionnaire (SHAQ). GIT2.0 includes 34 questions in 7 domains (reflux, distension, soilage, diarrhea, social function, emotional wellbeing and constipation). GI VAS is a 100 mm VAS that asks the patient; how much GI symptoms interfere with patient function. Both are measures of present state.
Objectives
1) Is there a correlation between GI-VAS and total GIT2.0?
2) Is a correlation between GI-VAS and GIT2.0 domains?
3) Does total GIT2.0 or GI-VAS predict patient global.
Methods
We extracted baseline data in 98 consecutive SSc patients, with respect to: age, sex, SSc subtype, disease duration, HAQ-DI, VAS for: pain, raynaud’s, ulcer, breathing, GIT2.0 domains and patient global.
Analysis:-Correlation between GI VAS and GIT 2.0 (total and individual domains) by Pearson correlation Coefficient. Univariable linear regression using patient global as dependent variable against total GIT2.0 or GI-VAS as separate independent elements. Independent variables were: SSc subtype, age, gender, disease duration, VAS for: raynaulds, finger ulcers and breathing in each model.
Results
Of total 98 patients available for analysis, 84 were females, 59 were diffuse subtype, mean age 54.6 (SD 14), mean disease duration 9.6 years (7.6), total GIT2.0 mean0.51 (0.49) – moderate, GI-VAS mean2.34 (2.77)- mild, HAQ-DI mean 0.98 (0.76) and patient global mean 3.77(2.69). Correlation between GI VAS and GIT2.0 (total and individual domains) are listed in table1. Even though the correlation between GIT2.0 and GIT VAS is (r=0.6) and weighted kappa is 0.59 –moderate, thirty four percent of the patients showed disagreement between the two measures by at least 1 category (total of four categories). Linear regression analysis demonstrated that GIT2.0 and GI-VAS were independent predictors of patient global as were VAS for breathing and ulcer (p<0.007). Adjusted r squared for GIT2.0 was 0.49and for GI-VAS was0.51.
Table1. Correlation between GI VAS and GIT2.0 (total and individual domains)
|
GIT2.0 |
Reflux |
Distension |
Soilage |
Diarrhea |
Constipation |
Social function |
Emotional wellbeing |
GI VAS |
0.61 |
0.56 |
0.54 |
0.32 |
0.26 |
0.33 |
0.58 |
0.49 |
Conclusion
GIT2.0 and GI VAS reflect GIT involvement. Each separately is an independent predictor of patient global. They disagree sufficiently frequently that they may reflect different aspects of GI involvement and might be considered separately in clinical GI evaluation of SSc patients.
Disclosure:
Y. Suliman,
None;
Y. Shaweesh,
None;
S. Kafaja,
None;
L. Duan,
None;
D. E. Furst,
None.
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ACR Meeting Abstracts - https://acrabstracts.org/abstract/the-ucla-gastrointestinal-tract-questionnaire-git2-0-and-gi-visual-analogue-scalegi-vas-reflect-different-aspects-of-gi-involvement-in-systemic-sclerosis/