학술논문

Multivariate prediction model for suspected giant cell arteritis: development and validation
Document Type
Report
Source
Clinical Ophthalmology. Annual, 2017, Vol. 11, p2031, 12 p.
Subject
C-reactive protein -- Analysis -- Research
Blood tests -- Analysis
Temporal arteritis -- Risk factors -- Diagnosis
Language
English
ISSN
1177-5483
Abstract
Purpose: To develop and validate a diagnostic prediction model for patients with suspected giant cell arteritis (GCA). Methods: A retrospective review of records of consecutive adult patients undergoing temporal artery biopsy (TABx) for suspected GCA was conducted at seven university centers. The pathologic diagnosis was considered the final diagnosis. The predictor variables were age, gender, new onset headache, clinical temporal artery abnormality, jaw claudication, ischemic vision loss (VL), diplopia, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and platelet level. Multiple imputation was performed for missing data. Logistic regression was used to compare our models with the non-histologic American College of Rheumatology (ACR) GCA classification criteria. Internal validation was performed with 10-fold cross validation and bootstrap techniques. External validation was performed by geographic site. Results: There were 530 complete TABx records: 397 were negative and 133 positive for GCA. Age, jaw claudication, VL, platelets, and log CRP were statistically significant predictors of positive TABx, whereas ESR, gender, headache, and temporal artery abnormality were not. The parsimonious model had a cross-validated bootstrap area under the receiver operating characteristic curve (AUROC) of 0.810 (95% CI =0.766-0.854), geographic external validation AUROC's in the range of 0.75-0.85, calibration [p.sub.H-L] of 0.812, sensitivity of 43.6%, and specificity of 95.2%, which outperformed the ACR criteria. Conclusion: Our prediction rule with calculator and nomogram aids in the triage of patients with suspected GCA and may decrease the need for TABx in select low-score at-risk subjects. However, misclassification remains a concern. Keywords: temporal artery biopsy, diagnosis, prediction rule, nomogram, giant cell arteritis, validation
Introduction Giant cell arteritis (GCA) is the most common systemic vasculitis in the elderly, and may result in irreversible blindness, aortitis, myocardial infarction, stroke, or even death. De Smit et [...]