Purpose. The study is aimed at defining DD and DA in SjS and building valid instruments for the assessment of these disease status entities. Methods. Data from patients (pts) with primary SjS from different centers were collected using a standardized clinical chart. Univariate and multivariate analyses were performed to select the clinical/serological variables which were the best predictors of DD and DA, respectively. These were defined by each observer (Ob) by scoring the pts for both DD and DA (0-10 points). In pts judged as active at the enrolment (T0), a second data record was completed after 3 months (T1). The selected variables were used to build two different scoring scales (SjSDDI and SjSDAM) able to assess DD and DM, respectively. β correlation coefficient of each variable in multivariate regressions was considered as indicative of the weight of variable in the scales. The scores obtained by SjSDDI and SjSDAM were compared to those given by the Ob. Results. Twelve Italian centers provided 184 pts (5 men, aged 18-85 yrs., mean 55.1). A model of 8 variables showed the closest relationship to the Ob score for DD. SjSDDI scores closely correlated with the Ob scores (R=.77, p<.0001). The two scores were identical or differ from 1 point in 72.8%, 2 points in 25.0%, and 3 point in only 2.2% of pts. A model of 10 variables was the best predictor of Ob score for DA. SjSDAM scores strongly correlated with the Ob scores at both T0 and T1 (R=.85, p<.0001, and R=.80, p<.001, respectively). The T0-T1 differences of Ob scores strictly correlated with the T0-T1 differences of SjSDAM scores (R=.61, p<.0001). Conclusions. SjSDDI appears to be an adequate instrument to objectively measure DD in pts with SjS. Similarly, SjSDAM seems to be a reliable tool to measure DA in this disorder when used both as steady state and transition index
Sjogren's Syndrome Disease Damage Index (SjSDDI) and Disease Activity Measurement (SjSDAM): two scoring systems for the assessment of DD and DA in SjS, derived by the analysis of a cohort of Italian patients.
GOVONI, Marcello;
2006
Abstract
Purpose. The study is aimed at defining DD and DA in SjS and building valid instruments for the assessment of these disease status entities. Methods. Data from patients (pts) with primary SjS from different centers were collected using a standardized clinical chart. Univariate and multivariate analyses were performed to select the clinical/serological variables which were the best predictors of DD and DA, respectively. These were defined by each observer (Ob) by scoring the pts for both DD and DA (0-10 points). In pts judged as active at the enrolment (T0), a second data record was completed after 3 months (T1). The selected variables were used to build two different scoring scales (SjSDDI and SjSDAM) able to assess DD and DM, respectively. β correlation coefficient of each variable in multivariate regressions was considered as indicative of the weight of variable in the scales. The scores obtained by SjSDDI and SjSDAM were compared to those given by the Ob. Results. Twelve Italian centers provided 184 pts (5 men, aged 18-85 yrs., mean 55.1). A model of 8 variables showed the closest relationship to the Ob score for DD. SjSDDI scores closely correlated with the Ob scores (R=.77, p<.0001). The two scores were identical or differ from 1 point in 72.8%, 2 points in 25.0%, and 3 point in only 2.2% of pts. A model of 10 variables was the best predictor of Ob score for DA. SjSDAM scores strongly correlated with the Ob scores at both T0 and T1 (R=.85, p<.0001, and R=.80, p<.001, respectively). The T0-T1 differences of Ob scores strictly correlated with the T0-T1 differences of SjSDAM scores (R=.61, p<.0001). Conclusions. SjSDDI appears to be an adequate instrument to objectively measure DD in pts with SjS. Similarly, SjSDAM seems to be a reliable tool to measure DA in this disorder when used both as steady state and transition indexI documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
