High sensitivity, specificity and predictive value of the Connective Tissue Disease Screening Questionnaire among urban African-American women

Lupus. 2005;14(10):832-6. doi: 10.1191/0961203305lu2227oa.

Abstract

The Connective Tissue Disease Screening Questionnaire (CSQ), developed to screen populations for SLE and other CTDs, has been validated in a predominantly Caucasian population with hospital-based controls. We aimed to test the performance characteristics of the CSQ in an urban, predominantly African-American population. The CSQ was administered by interview to women recruited for a study of environmental risk factors and SLE, including 99 cases with SLE validated by medical record review and 202 healthy controls recruited from the community. Overall, 88% of subjects had African heritage, 6% were Hispanic and 4% were non-Hispanic Caucasian. Controls were more likely to report African heritage than cases (91% versus 82%, P = 0.001). Sensitivity for detecting SLE was 88% and specificity was 91%. In this study, where the prevalence of SLE was 33%, predictive value of a positive CSQ was 82% and predictive value of a negative CSQ was 94%. The CSQ has slightly lower sensitivity but greater specificity for SLE in an urban, predominantly African-American population with community-based controls compared with a Caucasian population with hospital-based controls. These results suggest that the CSQ has adequate sensitivity and specificity and could be used in population studies to screen African-American women for SLE.

Publication types

  • Clinical Trial
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Black or African American*
  • False Negative Reactions
  • Female
  • Hispanic or Latino
  • Humans
  • Lupus Erythematosus, Systemic / diagnosis*
  • Lupus Erythematosus, Systemic / ethnology
  • Massachusetts / epidemiology
  • Middle Aged
  • Population Surveillance / methods*
  • Predictive Value of Tests
  • Risk Factors
  • Sensitivity and Specificity
  • Surveys and Questionnaires*
  • Urban Population*
  • White People