- Poster presentation
- Open Access
Does childhood health assessment questionnaire can predict outcome of patients with juvenile idiopathic arthritis?
© Susic et al; licensee BioMed Central Ltd. 2011
- Published: 14 September 2011
- Public Health
- Clinical Practice
- Regression Model
- Poor Prognosis
To assess the ability of Childhood Health Assessment Questionnaire (CHAQ) in predicting outcome of patients with juvenile idiopathic arthritis (JIA).
87 pts. (f 69%, m 31%) average age 14,1 yrs. disease duration 5,2 yrs., were follow up for 3,7 (2-5) yrs. Parents/patients over 12 yrs. completed CHAQ at the beginning and at the end of study and disability index (DI) was calculated. CHAQ DI=0 was considered as normal, 0,125-0,5=mild, ≥0,6=moderate/severe disability. Fifty nine (67,8%)pts. were treated with methotrexate, 42 (52,8%)pts. with etanercept. Outcome was defined as active disease or remission (Wallace criteria) . We used regression models for the assessment predictive strength of CHAQ.
CHAQ DI at the baseline was 0,541, at the end of follow up 0,398 (p<0,05). Number of patients with moderate/severe disability decreased from 29 to 18 (33,3% vs. 20,7%, p<0,01). Number of patients in remission increased from 15 to 47 (17,2% vs.54,0%, p<0,001). Seventy (80,6%)pts. with normal CHAQ DI at baseline, were in remission at the end of study, while 66 (75,9%)pts. with moderate/severe CHAQ DI at the beginning had active disease at the last visit. CHAQ showed good predictive ability for the disease outcome (71,3%). Odds ratio for having active disease for patients with mild CHAQ DI was high (OR 3,33, CI=1,034-10,746, p=0,044), for patients with moderate/severe CHAQ DI was very high (OR 13,095, CI=3,821-44,882, p<0,001), compared to patients with normal CHAQ value. Patients with moderate/severe CHAQ DI had hazard ratio for the active disease 4,959 (CI=1,855-11,385, p<0,001).
CHAQ demonstrated good ability in predicting outcome of the disease. Due to its simplicity and accessibility it is useful in everyday clinical practice for identifying patients with poor prognosis.
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.