Clinical Trials Logo

Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT04275375
Other study ID # 2019-01-016CC
Secondary ID
Status Completed
Phase
First received
Last updated
Start date March 1, 2019
Est. completion date August 16, 2019

Study information

Verified date July 2022
Source National Central University
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Spinal anaesthesia has the advantage that produced nerve block by the injection of local anaesthetic into cerebrospinal fluid (CSF). However, the greatest challenge in spinal anaesthesia is to control the spread of local anaesthetic through the CSF to provide a block which is adequate for the proposed surgery without unnecessary extensive spread, and increased risk of complications.


Description:

The activity of the autonomic nervous system is of fundamental importance in the regulation of vital bodily functions. Unbalance of autonomic nerve system results in considerably disordered vital function. Clinically, this is of great significance, because if an anesthetic agent produces cause the sympathetic system to block, the effects can be serious in individual cases, particularly on the cardiovascular system. If complications are to be avoided, it is essential to assess the degree of block correctly. Clinical monitoring has a variety of applications, a particularly useful one being measurement of the sympathetic system during regional anesthesia, for which quantification of the blocking effect is a clinical necessity and the degree of block needs to be ascertained without delay. The autonomic nervous system (ANS) plays an important role in the regulation of hemodynamics during anesthesia. Analysis of beat-to-beat fluctuations of heart rate and blood pressure is a promising new approach to the clinical diagnosis and management of alterations in cardiovascular regulation. Continuous Wavelet Transform (CWT), which could overcome the limitation of the steady-state assumption in the classical spectral analysis, is believed as a reliable and robust method to access cardiorespiratory dynamics of the ANS and the investigators will applied during spinal anesthesia to evaluate the detail changes.


Recruitment information / eligibility

Status Completed
Enrollment 46
Est. completion date August 16, 2019
Est. primary completion date August 16, 2019
Accepts healthy volunteers No
Gender All
Age group 20 Years to 80 Years
Eligibility Inclusion Criteria: 1. patients scheduled for operation with spinal anesthesia Exclusion Criteria: 1. recently treat with a sedative, beta-blocker, parasympatholytic, or opioid agent 2. emergency surgery 3. hypovolemia and hypothermia, arrhythmia, diabetes, or impairment of renal, hepatic, coagulation, cardiac, or respiratory function

Study Design


Related Conditions & MeSH terms

  • Participants Scheduled for Surgery Under Spinal Anesthesia Without Impairment of Renal, Hepatic, Cardiac or Respiratory Function

Intervention

Other:
observation study about the autonomic response after spinal anesthesia
ECG waveforms were continuously recorded using a multichannel polygraphic system (Embla N7000, Natus, Pleasanton, CA). The data were saved at a rate of 1024 Hz directly to a memory card within the device for offline analysis of heart rate variability (HRV) and PPG. All data included in the analysis were obtained from continuous artifact-free ECG recordings for analysis of the immediate effects of spinal anesthesia.

Locations

Country Name City State
Taiwan Taipei Veterans General Hospital Taipei R.o.c

Sponsors (1)

Lead Sponsor Collaborator
National Central University

Country where clinical trial is conducted

Taiwan, 

Outcome

Type Measure Description Time frame Safety issue
Primary record and compare changes in ANS function( HRV and PPGA) after spinal anesthesia in different group Electrocardiography and pulse photoplethysmography signals were recorded after spinal anesthesia. The spectrogram of beat-to-beat R-to-R intervals was derived by continuous wavelet transform (CWT), and the immediate power of high frequency (HFi) and low frequency (LFi) bands was extracted at
1-second intervals. The derived parameters, HF, LF, and pulse photoplethysmography amplitude, were normalized by their maximum and minimum values. Mixed-model regression and repeated-measures analysis of variance were used to explore the time-dependent effect.
maximum for 4 hours