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Related Concept Videos

Local Anesthetics: Clinical Application as Spinal Anesthesia01:11

Local Anesthetics: Clinical Application as Spinal Anesthesia

879
Spinal anesthetics are given during lower abdomen and limb surgeries to block sensory and motor neurons. They are administered in the mid to low lumbar regions, primarily acting on the cauda equina's nerve roots. The blockade level depends on the local anesthetic (LA) concentration. Usually, low LA concentrations are sufficient to block sensory fibers, while only high LA concentrations block motor fibers. Other factors like injection volume and speed, the patient's posture, and the drug...
879

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Awake spinal surgery: simplifying the learning curve with a patient selection algorithm.

Vijay Letchuman1, Nitin Agarwal1, Valli P Mummaneni2

  • 11Department of Neurological Surgery, University of California, San Francisco.

Neurosurgical Focus
|December 1, 2021
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Summary
This summary is machine-generated.

This study introduces a new algorithm to help surgeons select ideal candidates for awake spinal surgery, improving patient selection and reducing the need for general anesthesia. The algorithm successfully guided patient selection in 93% of cases.

Keywords:
anesthesiaawakedecompressionfusionspine

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Area of Science:

  • Neurosurgery
  • Anesthesiology
  • Spinal Surgery

Background:

  • Awake spinal surgery offers benefits but has a learning curve for surgeons.
  • Comprehensive guidelines for patient selection in awake spinal fusion or decompression are lacking.
  • Surgeons require structured support for initiating awake spinal surgery procedures.

Purpose of the Study:

  • To develop and validate a patient selection algorithm for awake spinal surgery.
  • To assist surgeons, particularly those new to awake spinal procedures, in identifying suitable candidates.
  • To streamline the process of selecting patients for awake spinal fusion or decompression.

Main Methods:

  • An algorithm was developed based on a multidisciplinary team meeting.
  • The algorithm was applied to the first 15 patients undergoing awake lumbar surgery.
  • Patient selection criteria included BMI, anxiety levels, pathology extent, and prior surgery history.

Main Results:

  • The algorithm successfully identified suitable candidates in 93% of cases (14 out of 15 patients).
  • Only one patient required conversion to general anesthesia due to insufficient analgesia.
  • Patients experienced reduced Oswestry Disability Index scores post-surgery with no major complications.

Conclusions:

  • A user-friendly algorithm aids surgeons in selecting patients for awake spinal surgery.
  • Key factors for selection include BMI, anxiety, surgical levels, and stenosis extent.
  • This tool is designed to support surgeons during the initial phase of performing awake spinal surgery.