Teddy Hla Profile picture
Oct 23 8 tweets 3 min read
Next workshop :: Poes practical session. We have Nutrivent. By Prof Alain Mercat , Oriol Rica , GIACOMO Grasselli. #LIVES2022 #ventilation #mechanicalventilation @ESICM
Values depends on the pt but if Poes is -15 then patient effort is very high. And for THOSE WITHOUT Poes, if you have a CVP and CVP values or waveform dips significantly during inspiration then you know that the patient effort is ++++ and intra thoracic pressure swing +++
It’s insane we have a live model (happily reading a book) whilst having a oesophageal catheter inserted ! And also a explanted lung model.
Definitely need training + empowerment of critical care nurses to gain confidence in inserting and using Poes. Like anything in intensive care , great bedside nurse is an absolute must.
Hamilton (Left )portable acting as a patient effort. Big Hamilton (Right) has Poes to measure that effort. 🤯 #LIVES2022 #ventilation @ESICM
Nutrivent. 4ml balloon + NG tube
Essentially theory : pleura pressure is positive. Which causes Alveoli to collapse - we put PEEP to counteract and prevent that collapse. By measuring Ppleural via Poes you could put the same PEEP to counter and thus prevent collapse of alveoli. P(lung) = P(airway) - P(oes).
Finally. Note end inspiration is not at the peak of P oes tracing.

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More from @teddyhla

Oct 25
Now Harm-Jan De Grooth "Understanding Bayesian Analysis"

- more specifically "Bayesian Trial analysis"
@ESICM #datascience #ai #ml #icudata #bayesian
@ESICM Trials are now using Bayesian analysis or at least in secondary analysis.

pubmed.ncbi.nlm.nih.gov/30347031/

But also NEJM IL-6 in covid - purely bayesian analysis.
Read 22 tweets
Oct 25
NEXT Adaptive and Platform trial designs by @Lennie333 #datascience #ai #ml #icudata
#LIVES2022 #ventilation
@ESICM
we assume "large effect sizes" in ICU trials
@Lennie333 @ESICM this is because otherwise we will need large "n" and long time for trials.

e.g., anti-hypertensives - you dont want to test one drug at one dose. you want to test a range of doses and a range of duration.

third-thing : we struggle to find a end-point especially in critical care
@Lennie333 @ESICM huge effort doing RCT but we use "mortality" yes/no as a very binary endpoint. For patient, length of stay, quality of life after d/c important end points beyond survival.

in RCT, we cant learn whilst the trials are still running. in classic RCT.
Read 20 tweets
Oct 25
NEXT:Interfacing ICU data Nicolas Bennet
- Nicolas was very pleased to hear Chris Sauer(earlier speaker) advocating use of 2 -data set at least
@ESICM #criticalcare #ai #ml #icudatasets
@ESICM eth-mds.github.io/ricu/
showcasing this R dataset

starting with
'r'
> library(ricu)
> lact (loaded all lactate data)
'r'
@ESICM NEVER THOUGHT THAT I would be tweeting code in an ICU conference :)) @ESICM #datascience :P #datascience #LIVES2022
Read 15 tweets
Oct 25
NEXT Inventory and Comparison of ICU datasets by Christopher SAUER

"Why talk on differences in ICU databases?"
Ans: becuase data is "CORE"
@ESICM #ml #ai #databases #datascience #LIVES2022
@ESICM Merit of publicly available ICU databases
- no randomzined evidence exists for most clinical situations
-data and pt level insights incredibly useful.
-local epidemiology and treatment difers
-real world data sets help deliver optimal treatment policies.
#DataScience #LIVES2022
@ESICM 1st publicly available dataset MIMIC-3 in 2016,
Beth Israel Deaconess Medical Centre, Boston,MA
>70,000 icu stays, 2008 to 2019
now also includes chest x-rays, emergency room data
- large, community developed Github repo.
#DataScience
Read 16 tweets
Oct 25
Day 2. Starting on pitfalls in leveraging EHR by Stephanie HYLAND @ESICM #criticalcare #ehr #datascience #ai #LIVES2022 Image
This problem is mainly for ML engineers who may not have talked to domain expert or clinicians / end users. Image
Pitfall 1 : sampling bias
"whos included in the analysis"
"who in your EHR"?
- e.g., - COVID prediction dataset where missing all blood tests were removed, but this missingess has a meaning. Thus not generalisable.
e.g., yesterday I mentioned about females < 6% of sample popn
Read 10 tweets
Oct 24
Extra-corporeal therapies in Resp Failure
@CarolynCalfee

- Phenotypes in ARDS
Many phenotypes in ARDS: severity of ARDS, aetiology,
- physiologic
- does any of this response to differently to ECMO?
#LIVES2022
#ventilation
#extracorpreal @ESICM
@CarolynCalfee @ESICM Severe ARDS phenotypes EOLIA using P/F ratio
- within 1st 7 days
- within this, which pt benefits most.

Meta-analysis on ECMO patients

- multiple subgroups but none of them statistically significant
- only key difference is No of organ failure . >2 ecmo less likely to work
Read 18 tweets

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