Temporal Artery Biopsy: When Is It Worth the Headache?

Temporal artery biopsy remains a standard diagnostic test for giant cell arteritis despite a low overall yield. While clinical suspicion is often based on symptoms and inflammatory markers, the proportion of positive results remains low. Prior research has shown that elevated C-reactive protein and erythrocyte sedimentation rate correlate with increased likelihood of giant cell arteritis. However, no prior work had resolved how to optimize biopsy use in clinical practice. That uncertainty drove this study to examine diagnostic yield and develop a risk stratification model. No prior work had resolved how to balance biopsy use with diagnostic accuracy. This gap motivated the analysis of biopsy outcomes across a decade-long dataset. No prior work had resolved how to incorporate age and symptom patterns into predictive models. This gap motivated the development of a point-based risk tool. No prior work had resolved how to improve biopsy efficiency in real-world settings.

The aim of this study was to evaluate the diagnostic yield of temporal artery biopsies in a single academic medical center. The specific problem addressed was the low yield of biopsies and the need for better triage strategies. The motivation stemmed from the desire to reduce unnecessary procedures while maintaining diagnostic accuracy. The researchers sought to identify clinical and laboratory factors associated with positive biopsy results. They also aimed to develop a risk stratification model to guide biopsy decisions. The study focused on comparing patient characteristics between positive and negative biopsy groups. The goal was to create a practical tool for clinicians to assess biopsy likelihood. The researchers proposed that age, symptoms, and inflammatory markers could predict biopsy outcomes.

The study used a retrospective design to analyze electronic health records of patients who underwent temporal artery biopsies. The dataset spanned a ten-year period from January 2010 to February 2020. Researchers extracted clinical symptoms and inflammatory marker values for each patient. They categorized patients into positive and negative biopsy groups based on histopathological results. Statistical methods included descriptive statistics, chi-square tests, and multivariable logistic regression. The analysis focused on identifying factors associated with positive biopsy outcomes. A risk stratification model was developed using point assignments for key variables. The model's performance was evaluated using measures like sensitivity and specificity.

Out of 497 biopsies, 66 were positive for giant cell arteritis. Jaw/tongue claudication, elevated inflammatory markers, and age were linked to positive results. Low-risk patients had only 3.4% positive biopsies, while high-risk patients had 43.9%. The study found that age over 50 increased diagnostic yield. Jaw claudication was present in 78% of positive cases. Elevated C-reactive protein and erythrocyte sedimentation rate were common in positive cases. The model's performance showed moderate discrimination. The overall yield was lower than previously reported benchmarks.

The study found that temporal artery biopsy yield is low in routine clinical practice. The authors propose that age, jaw claudication, and inflammatory markers can guide biopsy decisions. The risk stratification model may help clinicians prioritize biopsies. The model's performance suggests it could reduce unnecessary procedures. The authors suggest that this approach could improve diagnostic efficiency. They emphasize that the model should complement clinical judgment. The findings may inform future guidelines on biopsy use. The authors propose that further validation is needed to confirm model utility.