AI Article Synopsis

  • Mechanical allodynia, linked to lowered mechanical pain thresholds, is crucial for diagnosing periodontal ligament inflammation.
  • A new bite force transducer was tested for its effectiveness in providing quantitative measurements of mechanical pain thresholds in patients with apical periodontitis.
  • The study found fair to substantial inter-observer reliability and substantial intra-observer reliability for the transducer, indicating it can reliably measure pain thresholds in endodontic patients.

Article Abstract

Mechanical allodynia, defined as a reduction in mechanical pain threshold, is an essential diagnostic feature of inflammation of the periodontal ligament. Traditional methods for measuring mechanical allodynia in a tooth are not quantitative. This study evaluated the reliability of a new bite force transducer to measure mechanical pain thresholds, which might have application as a quantitative diagnostic aid for measuring mechanical allodynia in patients with apical periodontitis. To determine inter-observer reliability, subjects (n = 40) were given standardized instructions before generating maximal bite force on maxillary first molars; readings were then recorded by three examiners for a total of ten readings per examiner. To determine the test-retest reliability, the initial examiner then retested at two different sessions. The intraclass correlation coefficient was fair to substantial for inter-observer reliability (0.3-0.64) and substantial for intra-observer reliability (0.63-0.68). Thus, the force transducer used in our study is a reliable method to measure mechanical pain thresholds in endodontic patients.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.joen.2006.06.003DOI Listing

Publication Analysis

Top Keywords

mechanical allodynia
16
mechanical pain
12
measuring mechanical
8
bite force
8
force transducer
8
measure mechanical
8
pain thresholds
8
inter-observer reliability
8
mechanical
7
reliability
5

Similar Publications

Differential Neuronal Activation of Nociceptive Pathways in Neuropathic Pain After Spinal Cord Injury.

Cell Mol Neurobiol

January 2025

Department of Neurology, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, 430030, China.

Neuropathic pain, a prevalent complication following spinal cord injury (SCI), severely impairs the life quality of patients. No ideal treatment exists due to incomplete knowledge on underlying neural processes. To explore the SCI-induced effect on nociceptive circuits, the protein expression of c-Fos was analyzed as an indicator of neuronal activation in a rat contusion model exhibiting below-level pain.

View Article and Find Full Text PDF

The pathogenesis of painful diabetic neuropathy (PDN) is complicated and remains not fully understood. A disintegrin and metalloprotease 17 (ADAM17) is an enzyme that is responsible for the degradation of membrane proteins. ADAM17 is known to be activated under diabetes, but its involvement in PDN is ill defined.

View Article and Find Full Text PDF

Hyperalgesic priming is a model system that has been widely used to understand plasticity in painful stimulus-detecting sensory neurons, called nociceptors. A key feature of this model system is that following priming, stimuli that do not normally cause hyperalgesia now readily provoke this state. We hypothesized that hyperalgesic priming occurs because of reorganization of translation of mRNA in nociceptors.

View Article and Find Full Text PDF

Preclinical and clinical studies have established that autoreactive immunoglobulin G (IgG) can drive neuropathic pain. We recently demonstrated that sciatic nerve chronic constriction injury (CCI) in male and female mice results in the production of pronociceptive IgG, which accumulates around the lumbar region, including within the dorsal root ganglia (DRG) and spinal cord, facilitating the development of neuropathic pain. These data raise the intriguing possibility that neuropathic pain may be alleviated by reducing the accumulation of IgG.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!