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Thermal Imaging to Predict Failed Supraclavicular Brachial Plexus Block: A Prospective Observational Study
Medhat Gamal1, Ahmed Hasanin1, Nada Adly1
1Department of Anesthesia and Critical Care Medicine, Cairo University, Cairo, Egypt.
Local and Regional Anesthesia
|June 16, 2023
Summary
Infrared thermography accurately predicts failed supraclavicular brachial plexus blocks. Increased skin temperature in blocked segments can exclude block failure with 100% accuracy, improving patient safety.
Area of Science:
- Anesthesiology and pain management
- Medical imaging and diagnostics
- Surgical procedures
Background:
- Successful brachial plexus blockade typically results in sympathetic blockade and increased skin temperature.
- Evaluating the accuracy of infrared thermography is crucial for identifying failed supraclavicular brachial plexus blocks.
Purpose of the Study:
- To assess the efficacy of infrared thermography in predicting failed segmental supraclavicular brachial plexus blocks.
- To determine the correlation between skin temperature changes and block success.
Main Methods:
- A prospective observational study involving adult patients undergoing upper-limb surgery with supraclavicular brachial plexus block.
- Skin temperature was monitored using infrared thermography at specific nerve distributions (ulnar, median, radial) at various time points post-block.
- Block failure was defined by the absence of complete sensory loss 30 minutes after block completion.
Main Results:
- Area under the receiver-operating characteristic curve (AUC) analysis showed increasing accuracy in predicting block failure over time, peaking at 15 minutes.
- At 15 minutes post-block, the AUC values for predicting ulnar, median, and radial nerve block failure were 0.98, 0.97, and 0.96, respectively.
- A 100% negative predictive value was achieved, indicating that increased skin temperature could reliably exclude block failure.
Conclusions:
- Infrared thermography is an accurate method for predicting failed supraclavicular brachial plexus blocks.
- Monitoring skin temperature changes can effectively identify and exclude block failures with high confidence.

