Key difference from other papers
-massive head sized cone
-high sampling rates
to try to capture ALL exhaled aerosol
Expired particles sampled
During respiratory ACTIVITIES
-breathing
-shouting
-exercise
-force expiration
-cough
With respiratory PROCEDURES
-nothing
-NIV or CPAP
-HFNO
-surgical mask
First key finding.
A modest increase in aerosols with respiratory THERAPIES during quiet breathing
BUT (big but) this disappeared & emissions fell with respiratory therapy during exertional respiratory activities
This fall in exhaled aerosols with NIV/CPAP/HFNO compared to without their use shows they are NOT AGPs
The fall likely due to
-PEEP reducing airway collapse and open/close cycling
-positive inward flow reducing egress
You may have picked it up already....
Yes coughing, exercise & forced expiration (each mimicking breathing patterns in illness) produce many-fold more aerosols than quiet breathing (log scale)
Respiratory ACTIVITY should be focus of concern
NOT respiratory PROCEDURES
Again - as per Gaeckle and others - there was a massive inter-individual variation
So what do we learn
1 NIV, CPAP, HFNO are not AGPs
2 Exertional activities (cough, fast deep breathing) generate up to 370-fold more aerosol than quiet breathing
3 This aerosol is respirable
4 It constitutes a significant volume of all expired volume
5 We need to rethink risk
We know some superspreader events create massive infection & can only be explained by aerosols
These likely combination of
-high viral load (disease time course)
-high risk person (high emitter/spreader)
-high risk activity (sing, shout etc)
-poor ventilation
-prolonged exposure
While droplets may be a high risk at short distance...
...the high production of respirable aerosols by exertional respiratory activities (common in illness) point to a prominent role of aerosol transmission at short distances
(& in some settings over long distances)
The other point I should’ve made. Even more important than an ultraclean setting..
....collaboration between aerosol/environment scientists & clinicians
Key to all the papers in the thread (& missing from many others)
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Quick summary 🧵 for amongst others
@JulianCorbettF
NAP5
Awareness
-TIVA was associated with a doubling in frequency of accidental awareness (during general anaesthesia (AAGA)
-what a lot of people missed was that when TIVA was used correctly in a TCI mode there was no signal
-most AAGA during TIVA was due to syringe/delivery errors, programming errors, erroneous use of manual infusions especially when converting from volatile to TIVA (eg to transfer sick pt to ICU or radiology)
-6% of GAs were TIVA. 90% of these in theatre were TCI. Outside theatre 18% were TCI.
-pEEG (BIS) use was low at 2.8%
-much higher with TIVA:
*8% without NMB
*23% with NMB
-report recommended universal use of BIS when TIVA used with paralysis
In NAP6 (anaphylaxis) we took stock of all drugs used during anaesthesia
-use of TIVA rose to 8%
-pEEG monitoring was used in 12%
*rising to 32% with TIVA
*38% with TIVA + NMB
-with variation by specialty, anaesthetist seniority & BMI
In NAP7 (perioperative cardiac arrest) we collected data on TIVA & pEEG use but not on NMB use
-TIVA use rose dramatically to 26%
*a 4-fold rise in a decade
-pEEG rose to 19%
*a 7-fold rise
-pEEG use during TIVA rose to 62% (likely close to 100% during TIVA + NMB though we did not measure this)
-implying good impact of the previous recommendation (which has been repeated by others)
CARDIAC ARREST DURING OR AFTER SURGERY IN UK PRIVATE HOSPITALS
This is a timely reminder that all healthcare has risks & safety is at the heart of everything we should be doing.
Timely also as I was speaking today to the Independent Healthcare Providers Network (IHPN) about Perioperative Cardiac Arrest in the Independent healthcare sector -based on the findings of the @RCoANews NAP7 report.
A thread on what we found. Not all of which is comfortable. But it is an important discussion.
@bbchealth
@BBCPanorama
@RCoANews
TLDR NAP7: Perioperative cardiac arrest in private hospitals
To be clear much work takes place in all sectors to promote safety. The vast majority of anaesthesia and surgery is very safe and outcomes good. But anaesthesia and surgery has risk, some of which is unpredictable.
Being safe and preparing for unusual events is difficult and it is likely harder in settings that are smaller and more remote than in a large NHS hospital.
The purpose of the NAP7 study was to examine the data on cardiac arrest in or after surgery and to explore areas where care may be improved.
2/15
We studied perioperative cardiac arrest across the UK
-how hospitals prepared for cardiac arrest
-anaesthetists' experience of managing cardiac arrest
-risk of cardiac arrest during or within 24 hours of anaesthesia care (usually surgery)
Controversially, I’ve been chatting about population TRIAGE today
A short 🧵& some polls at the end
Early in the pandemic the risk of healthcare being ‘overwhelmed’ was high on the agenda with population triage a logical consequence. Lockdown was to prevent this.
1/11
I now consider triage to be of three types
Triage by prognosis Normal decision-making led by prognosis (& patient’s goals)
Triage by resource
- by individual
- at population level
The latter is not normal
2/11
Decision-making with patients based on prognosis is a doctor’s job.
The other two are arguably decisions for society (or in an emergency for our politicians)
To paraphrase Clemenceau “life and death is too important to be left to the doctors”