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Prediction of Block Height of Spinal Anesthesia

NCT05024838 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 3000

Last updated 2021-08-27

No results posted yet for this study

Summary

Spinal anesthesia is one of the most used techniques for surgery. Anesthesiologists usually check the block height (dermatome) of spinal anesthesia before surgery start. More than 20 factors have been postulated to alter spinal anesthetic block height. We would like to use machine learning to comprehensively consider various factors such as physiological parameters and different drug characteristics to establish a predictive model to evaluate the sensory blockade of spinal anesthesia.

Conditions

  • Anesthesia; Reaction

Interventions

OTHER

Machine learning methods

This is an observational study of the retrospective collection of patient data. Anesthesia-related factors such as anesthesiologist's expertise, injection site, patient position, the dosage of local anesthetics, needle size, the direction of needle bevel, and basic demographic information of the patients were used for data analysis. Patients less than 18 years old were excluded from this study. Twenty percent of the dataset was used as a testing dataset, and the remaining were used for model training. The investigators will utilize four machine learning algorithms as XGBoost (Extreme Gradient Boosting), AdaBoost (Adaptive Boosting), Random Forest (RF), and support vector machine (SVM). Model performances were evaluated visually with a confusion matrix.

Sponsors & Collaborators

  • Taipei Veterans General Hospital, Taiwan

    lead OTHER_GOV

Principal Investigators

  • Hung-Wei Cheng, MD · Taipei Veteran General Hospital, Taiwan

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-10-01
Primary Completion
2022-07-31
Completion
2022-07-31

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05024838 on ClinicalTrials.gov