J Korean Med Sci.  2011 Apr;26(4):568-573. 10.3346/jkms.2011.26.4.568.

Proposing a Scoring System for the Research Criteria of Complex Regional Pain Syndrome

Affiliations
  • 1Department of Anesthesiology and Pain Medicine, Chungbuk National University Hospital, Jeongju, Korea.
  • 2Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, Korea. soo02@snu.ac.kr
  • 3Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

Abstract

This study evaluated the structure of complex regional pain syndrome (CRPS) population and suggested a weighted scoring system to balance on objective signs. One hundred sixty-eight consecutive patients were evaluated using the Budapest Research Criteria (BRC). By using multidimensional scaling and logistic regression analysis, we analyzed the degree of importance and relationships between objective findings. In addition, a receiver operating characteristic curve was constructed using a weighted score derived from the risk ratio as a diagnostic test. There were correlations between skin color change and edema, and between decreased range of motion and motor dysfunction when multidimensional scaling was applied. The trophic change was excluded by a logistic regression (95% CI; 0.80-11.850). The cutoff point based on weighted score derived from the risk ratios for determining CRPS was 7.88. At this point, the sensitivity, specificity, positive predictive value and negative predictive value were 75.0%, 95.3%, 96.3%, and 70.1%, respectively. We propose a weighted scoring system for the BRC using risk ratios of objective signs. Although a thorough systematic review would be required in the future, this study can contribute to reduction of the possible distortion of the feature of CRPS populations by the BRC.

Keyword

Complex Regional Pain Syndrome; Diagnosis; Objective Sign; Odds Ratio; Score

MeSH Terms

Adolescent
Adult
Aged
Aged, 80 and over
Complex Regional Pain Syndromes/*diagnosis/etiology
Diagnosis, Differential
Female
Humans
Logistic Models
Male
Middle Aged
Odds Ratio
Predictive Value of Tests
ROC Curve
Risk Factors
*Severity of Illness Index
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