AI Article Synopsis

  • The study analyzes the effectiveness of clinical indicators in diagnosing central sensitization (CS) in patients with chronic musculoskeletal pain, comparing these indicators to psychophysical tests.
  • One hundred patients were assessed using a combination of self-reported pain characteristics and physical examinations to identify CS-related signs and symptoms.
  • Results showed that clinical indicators were highly accurate in identifying CS, with a 75% accuracy rate, suggesting they are valuable tools for clinicians in managing musculoskeletal pain.

Article Abstract

Background: The identification of central sensitization (CS) is an important aspect in the management of patients with chronic musculoskeletal pain. Several methods have been developed, including clinical indicators and psychophysical measures. However, whether clinical indicators coincide with the psychophysical test of CS-related sign and symptoms is still unknown. Therefore, the present study aimed to analyze the diagnostic accuracy of the clinical indicators in identifying CS-related sign and symptoms in patients with musculoskeletal pain.

Methods: One-hundred consecutive patients with musculoskeletal pain were included. Clinical indicators (index method) based on a combination of patient self-report pain characteristics and physical examination were used to identify the phenotype of patients with musculoskeletal pain and the predominance of the CS-related sign and symptoms. Conditioned pain modulation (CPM) was assessed by the Cold Pressor Test (reference standard), which is a psychophysical test used to detect impairment of CPM. Measurements of the diagnostic accuracy were performed.

Results: Twenty-seven patients presented predominance of CS-related sign and symptoms in the assessment of the clinical indicators, and 20 had impairment of CPM. Clinical indicators showed high accuracy (75.0%; 95% confidence interval = 65.3 to 83.1), high specificity (80.0%; 95% confidence interval = 69.6 to 88.1), high negative predictive value (87.7%; 95% confidence interval = 81.2 to 92.1), and a relevant positive likelihood ratio (2.8, 95% confidence interval = 1.5 to 5.0) when compared to the Cold Pressor Test.

Conclusion: Clinical indicators demonstrated a valuable tool for detecting the impaired CPM, which is a remarkable feature of the CS-related sign and symptoms. Clinicians are encouraged to use the clinical indicators in the management of patients with musculoskeletal pain.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798197PMC
http://dx.doi.org/10.1186/s40945-020-00095-7DOI Listing

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