Ashley Miller Profile picture
Jul 27 17 tweets 3 min read Read on X
🧵 "What really determines tissue perfusion?"

– and why most explanations get it wrong.

Let’s sort out MAP, CVP, CCP, autoregulation, vasopressors, and the flow that actually reaches your organs.
👇 Image
1/
You’ve probably heard:
“Perfusion pressure = MAP − CVP”

Or sometimes:
“Perfusion = MAP − CCP”

But both are context-dependent.
Let’s unpack what truly drives tissue perfusion — and why it’s more dynamic than most realise.
3/
The simplest model:
Flow = (MAP − Venous Pressure) / Resistance

Where:
MAP = pressure in
Venous pressure = pressure out
Resistance = mostly arteriolar tone

Simple. But misleading.
4/
The problem?
🧠 Resistance isn’t fixed.

Tissues actively adjust arteriolar tone to preserve flow — even when MAP changes.

This is called autoregulation.
5/
Autoregulation allows tissues to keep flow constant over a range of MAP values.
If MAP drops → arterioles dilate
If MAP rises → arterioles constrict

The goal is to preserve capillary flow, despite pressure changes upstream.
6/
So within that range, flow stays stable even when the driving pressure (MAP) changes.
The tissue is controlling its own flow.
And it doesn’t care what’s happening downstream — as long as venous pressures are low.
7/
But autoregulation has limits.
If:
• MAP falls below the lower threshold
• Arterioles can’t dilate further

Then flow begins to fall — it’s now pressure-dependent.

🧠 Autoregulation can’t help if the input pressure is too low.
8/
So what about venous pressure (e.g. CVP)?
It doesn’t trigger autoregulation.
It just quietly opposes flow.
And when it rises, it narrows the perfusion gradient — with no compensatory response.
In this setting, venous pressure becomes the key limiter of flow.
9/
That’s why venous congestion is dangerous.

You can have a “normal” MAP but still under-perfuse tissues as the pressure gradient drops.

And there’s no mechanism to compensate

Flow falls — silently.
10/
Now let’s add another piece:
🩸 Critical Closing Pressure (CCP)
This is the pressure below which a vessel collapses and flow stops, even if venous pressure is lower.
It reflects:
• Vascular tone
• External tissue pressure
11/
If vascular tone is very high (e.g. excessive vasoconstriction), or external pressure is elevated (e.g. brain swelling, oedema, compartment syndrome), CCP rises.

Now, even if MAP is "normal", there’s no flow unless it's above CCP.
12/
This is the vascular waterfall.
When vessels collapse like a choke point, flow becomes:

Flow = (MAP − CCP) / Resistance

CVP no longer matters — the collapsed segment sets the outflow pressure.
13/
So when does CCP matter?

• In high tone states
• With external compression (e.g. raised ICP)
• And potentially with overuse of vasopressors, which can raise CCP via excessive arteriolar constriction
14/
So what really determines tissue perfusion?

It’s not MAP alone.
Not MAP − CVP.
Not MAP − CCP.

It’s how...
• MAP
• Venous pressure
• Resistance
• CCP
...all interact
And how the tissue responds (or can’t).
15/
So beware simple formulas.
Perfusion isn’t about plugging numbers into a neat equation.
It’s about context — autoregulation, tone, congestion, and where the choke points lie.

And understanding that changes how you manage shock, fluids, and pressors.
16/
Coming soon:
🔹 A full thread on Critical Closing Pressure
🔹 How vasopressors, tone & compression affect it
🔹 Why MAP alone doesn’t guarantee flow
Follow to catch it.
#MedX #CriticalCare #Physiology #Haemodynamics

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More from @icmteaching

Jul 13
1/
Shock is complex. But our tools are often simplistic.
This paper proposes a new model:
🩸 Four circulatory interfaces that must stay coupled to maintain perfusion.
Uncouple any one — and shock worsens.
#Shock #MedX #FOAMcc
Here’s the framework.
🔗 doi.org/10.3390/jpm150…Image
2/
🔧 The model outlines 4 key interfaces:
1. LV to systemic arterial
2. Arteriolar to capillary
3. Capillary to venular
4. RV to pulmonary arterial

Each can be assessed. Each can fail. And each demands tailored therapy.
3/
Interface I: LV–Arterial Coupling
The heart and arteries must be matched – contractility (Ees) and afterload (Ea).
Uncoupling?
– Hyperdynamic sepsis can mask LV dysfunction
– Pressors unmask it
– LVEF drops despite “normal” MAP
🔍 LVEF is the best bedside tool here – not for contractility, but because it reflects load-dependent coupling.
Read 13 tweets
Jul 5
🧵 Starling’s Law: Misunderstood, Misapplied, and Still Misleading
1
🚨 “Starling’s Law explains how the heart increases cardiac output.”

You’ve probably heard this a thousand times.
But it’s wrong.
Or at least - very incomplete.
Let’s fix it.
Because this matters - for heart failure, fluids, vasopressors, inotropes, afterload, and how we think about the whole system.
2
🫀 Textbook Starling curves show:

Preload (RAP or EDV) on the x-axis
Cardiac output on the y-axis
Upward shifts with “more inotropy” or “less afterload”
❌ But that’s not how the system really works.
Because in a real circulation, the system sets flow - not the heart.
3
In reality:
• Flow is determined by Pms − RAP / Rvr
• The system sets mean systemic pressure - Pms (by venous volume and elastance)
• The heart’s job is to accept the return
• CO ≈ venous return (unless the heart starts to fail)
Read 19 tweets
Jun 27
1/
Most people think the heart drives circulation.
But what if that’s backwards?
Anderson’s model flips the whole idea of cardiac output on its head — and it changes how you think about fluid, flow, and failure.
🧵👇
#physiology #FOAMed #MedTwitter #criticalCare #cardiacOutput Image
2/
🚿The system sets the flow based on metabolic need.
It adjusts vascular tone and volume to change Pms (mean systemic pressure) and venous return.
The heart simply ejects what arrives — unless it fails.
3/
🫀The heart doesn’t suck.
It doesn’t pull blood in.
It’s not a centrifugal pump or piston.
It’s more like a bladder.
It passively fills — and just empties what shows up.
Read 18 tweets
May 12, 2024
Thanks for some great comments on this thread. Some nuance and further explanation is needed here.
Being ill activates the symp NS. I’m sure you have all noticed being tachy and having a bounding pulse when you have flu or are hungover! CO goes up to meet ⬆️ metabolic demand.
Sepsis of course is the same and can result in a ⬆️or ⬇️ cardiac output. The key factor is the balance between sepsis causing venoplegia (reducing Pms) and the sympathetic response trying to counter this (which increases Pms and HR).
If the sympathetic response wins, increasing Pms & HR, then a ⬆️CO and ⬇️SVR will result. Thanks to @PhilGuerci for the experimental sheep data.
Being sedated/anaesthetised blunts the sympathetic response. Here you will get reduced Pms and CO as in the data in my original thread
Read 7 tweets
May 10, 2024
#haemodynamics #hemodynamics myths.
Myth 1.
'Sepsis causes low SVR and high stroke volume/CO'
This is a common misconception. Why? Because the moment a sick patient comes anywhere near a health care provider they get fluid boluses.
Animal studies show that in sepsis CO decreases (because of venous pooling / low Pms) and SVR increases. RAP was unchanged demonstrating this was not heart failure (but rather low Pms) causing reduced VR/CO. BP and CO were closely related. among others.jci.org/articles/view/…
Read 6 tweets
Oct 18, 2021
Post holiday season, @ICUltrasonica, @wilkinsonjonny & I are back to take you through the most most critical clinical questions on #haemodynamics that ultrasound can answer

We’re now on to question 3 of FUSIC HD

’Is the aorta abnormal?’

#FUSIC #echofirst #POCUS #FOAMus
Aortic dissection is easily missed, carries a high mortality and should be on the differential of any patient with shock, abdo pain or chest pain. Contrary to popular belief the entire aorta can be imaged via transthoracic and abdominal ultrasound. Let’s start with some anatomy
Asc aorta:
Visualised from PLAX view with depth ⬇️ & probe tilted to focus on the root. Tilting superiorly, or moving up a rib space, may help. Examine the AV and look for a dissection flap. Measure the diameter 3-4cm from the AV. The root can also be seen from A5C & A3C views
Read 20 tweets

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