scholarly journals A comparative study between propofol and thiopentone for hemodynamic parameters during induction of general anesthesia in surgical patients

2017 ◽  
Vol 7 (1) ◽  
pp. 1 ◽  
Author(s):  
Rakesh Kushwaha ◽  
Savita Choudhary
Keyword(s):  
Comparative Study ◽  
General Anesthesia ◽  
Surgical Patients ◽  
Hemodynamic Parameters

scholarly journals COMPARATIVE STUDY BETWEEN PROPOFOL WITH NALBUPHINE AND ETOMIDATE WITH NALBUPHINE IN MAJOR SURGERIES UNDER GENERAL ANESTHESIA

2019 ◽  
pp. 1-2
Author(s):  
Aju Joy
Keyword(s):  
Adverse Effects ◽  
Observational Study ◽  
Comparative Study ◽  
General Anesthesia ◽  
Prospective Observational Study ◽  
Hemodynamic Parameters ◽  
Hemodynamic Stability ◽  
Quick Recovery ◽  
To Receive

INTRODUCTION: Propofol provides rapid and smooth anesthesia with quick recovery and less incidence of vomiting. Etomidate is inducing agent of choice in cardiac patients.We are comparing the effects of these drugs when given along with nalbuphine.This study aims to compare the hemodynamic parameters, onset and efficacy of these combinations and adverse effects. MATERIALS AND METHOD:60 patients belonging to ASA I -II of either sex undergoing major surgeries under general anesthesia were included in our study. The study was prospective observational study, 60 patients were randomized equal into two groups to receive either propofol with nalbuphine or etomidate with nalbuphine. RESULT:Etomidate group showed more hemodynamic stability compared to Propofol group

Measurement of Axial Length in an Office Setting Versus Under General Anesthesia in Infants and Toddlers: A Comparative Study

2015 ◽  
Vol 52 (4) ◽  
pp. 226-230 ◽  
Author(s):  
Michael Kinori ◽  
Ido Didi Fabian ◽  
Abraham Spierer ◽  
Tamara Wygnanski-Jaffe ◽  
Shira L. Robbins ◽  
...  
Keyword(s):  
Comparative Study ◽  
General Anesthesia ◽  
Axial Length ◽  
Infants And Toddlers ◽  
Office Setting

scholarly journals Dynamic Cortical Connectivity during General Anesthesia in Surgical Patients

2019 ◽  
Vol 130 (6) ◽  
pp. 885-897 ◽  
Author(s):  
Phillip E. Vlisides ◽  
Duan Li ◽  
Mackenzie Zierau ◽  
Andrew P. Lapointe ◽  
Ka I. Ip ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
General Anesthesia ◽  
Temporal Dynamics ◽  
Transition Probabilities ◽  
Surgical Patients ◽  
Phase Lag ◽  
Cortical Connectivity ◽  
Single Measure ◽  
Connectivity Patterns ◽  
Weighted Phase Lag Index

Abstract Editor’s Perspective What We Already Know about This Topic What This Article Tells Us That Is New Background Functional connectivity across the cortex has been posited to be important for consciousness and anesthesia, but functional connectivity patterns during the course of surgery and general anesthesia are unknown. The authors tested the hypothesis that disrupted cortical connectivity patterns would correlate with surgical anesthesia. Methods Surgical patients (n = 53) were recruited for study participation. Whole-scalp (16-channel) wireless electroencephalographic data were prospectively collected throughout the perioperative period. Functional connectivity was assessed using weighted phase lag index. During anesthetic maintenance, the temporal dynamics of connectivity states were characterized via Markov chain analysis, and state transition probabilities were quantified. Results Compared to baseline (weighted phase lag index, 0.163, ± 0.091), alpha frontal–parietal connectivity was not significantly different across the remaining anesthetic and perioperative epochs, ranging from 0.100 (± 0.041) to 0.218 (± 0.136) (P > 0.05 for all time periods). In contrast, there were significant increases in alpha prefrontal–frontal connectivity (peak = 0.201 [0.154, 0.248]; P < 0.001), theta prefrontal–frontal connectivity (peak = 0.137 [0.091, 0.182]; P < 0.001), and theta frontal–parietal connectivity (peak = 0.128 [0.084, 0.173]; P < 0.001) during anesthetic maintenance. Additionally, shifts occurred between states of high prefrontal–frontal connectivity (alpha, beta) with suppressed frontal–parietal connectivity, and high frontal–parietal connectivity (alpha, theta) with reduced prefrontal–frontal connectivity. These shifts occurred in a nonrandom manner (P < 0.05 compared to random transitions), suggesting structured transitions of connectivity during general anesthesia. Conclusions Functional connectivity patterns dynamically shift during surgery and general anesthesia but do so in a structured way. Thus, a single measure of functional connectivity will likely not be a reliable correlate of surgical anesthesia.

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