propofoldreams.org
#AnSky #TIVASky
Hope registrar learnt smth to better care for his future pts
Power imbalance and would like to hear his side of story (how he truly felt inside, in confidence, to decide if it's truly "consent" and "good friends")
Hope registrar learnt smth to better care for his future pts
Power imbalance and would like to hear his side of story (how he truly felt inside, in confidence, to decide if it's truly "consent" and "good friends")
For my pt, I prefer to use TIVA. 😁
For myself and my family, I prefer the anaesthetist use what they are best at using and then focus on other more important anaesthesia decisions.
For my pt, I prefer to use TIVA. 😁
For myself and my family, I prefer the anaesthetist use what they are best at using and then focus on other more important anaesthesia decisions.
TIVA w/o NMBA - case by case depending on risk/benefit:
If at risk of either awareness or excessive anaesthesia depth = use pEEG
If risk is low and outweigh cost then no pEEG
TIVA w/o NMBA - case by case depending on risk/benefit:
If at risk of either awareness or excessive anaesthesia depth = use pEEG
If risk is low and outweigh cost then no pEEG
The only difference is in the coefficients 😅😅
The only difference is in the coefficients 😅😅
authors.elsevier.com/a/1kWpX1dCDy...
Thank you @bjajournals.bsky.social
#TIVASky #AnSky #TCI
authors.elsevier.com/a/1kWpX1dCDy...
Thank you @bjajournals.bsky.social
#TIVASky #AnSky #TCI
(1) PK (how much propofol)
(2) PD (pt sensitivity)
(3) how much stimulus
It seems from our study that when stimulus is standardised (i.e. minimised), it may be possible to reliably predict wake up time 🤔🤔
(1) PK (how much propofol)
(2) PD (pt sensitivity)
(3) how much stimulus
It seems from our study that when stimulus is standardised (i.e. minimised), it may be possible to reliably predict wake up time 🤔🤔
propofoldreams.org
Reference doi:
10.1016/j.bja.2025.01.007
propofoldreams.org
Reference doi:
10.1016/j.bja.2025.01.007
We built a hybrid regression model that predicts the awakening Cp for from maintenance Cp and SE. 6/7
We built a hybrid regression model that predicts the awakening Cp for from maintenance Cp and SE. 6/7
(1) maintenance Cp
(2) corresponding state entropy
Here's how we did it. 2/7
(1) maintenance Cp
(2) corresponding state entropy
Here's how we did it. 2/7
propofoldreams.org/elemarsh-mode/
propofoldreams.org/elemarsh-mode/
Don't mind the Braun
Not a fan of the Arcomed because it's clunky to exchange syringes (hardware issue) and over the top safety confirmations (litigation avoidant > clinician centred design, easy software fix)
Don't mind the Braun
Not a fan of the Arcomed because it's clunky to exchange syringes (hardware issue) and over the top safety confirmations (litigation avoidant > clinician centred design, easy software fix)
But I agree with you, it's a risk-benefit balance of a catchy rhyme that efficiently raises awareness vs inducing cognitive bias
But I agree with you, it's a risk-benefit balance of a catchy rhyme that efficiently raises awareness vs inducing cognitive bias
What about using verbs which cannot be easily flipped like
"abnormal trace, check place"
What about using verbs which cannot be easily flipped like
"abnormal trace, check place"