Ashley Miller Profile picture
Oct 16 11 tweets 3 min read Read on X
🧩 Part 3 – Why you usually can’t move one curve without the other
1️⃣
So far, we’ve treated the cardiac and venous return curves as two lines that meet.
In theory, you can move one without the other – and sometimes that’s true.
But in physiology, they almost always move together – because they share the same inlet.
2️⃣
Both curves hinge on the same gateway: the inlet to the heart.
That’s where Ivr – inlet impedance – lives.
Any change in relaxation, stiffness, or pericardial pressure alters Ivr, so both curves tend to shift together.
3️⃣RVR vs Ivr – Anderson’s key insight:

RVR assumes static pipe resistance (captures geometry, compression but ignores compliance & timing).
Ivr represents dynamic inlet impedance (stiffness, relaxation, pericardial coupling).

RVR treats veins as plumbing; Ivr treats them as a living inlet.
When the heart stiffens or relaxes, Ivr changes – and both curves move.
4️⃣ When VR curves can move independently

↑ Pms (fluids, venoconstriction): More stressed volume → VR curve up/right, cardiac unchanged → ↑ CO, RAP unchanged initially then ↑
↑ Ivr (IVC compression / obstruction): Narrowed or occluded inlet upstream of the heart → VR curve flattens, cardiac unchanged → ↓ CO, RAP unchanged or slight ↓.Image
5️⃣ When curves move together (coupling)

↑ Contractility/relaxation → ↓ Ivr → Cardiac curve up, VR curve up → ↑ CO, RAP unchanged or ↓

↑ External pressure (PEEP, tamponade) → ↑ Ivr (inlet compression, reduced compliance) → Cardiac curve down, VR curve down → ↓ CO, ↑ RAP.

↓ Compliance / failure / extreme HRs and arrhythmias → ↑ Ivr → Cardiac curve down, VR curve down → ↓ CO, ↑ RAP.
6️⃣ Sympathetic stimulation — the classic example

Exercise or stress raises Pms through venoconstriction and lowers Ivr by improving relaxation, rate, and contractility.
Both curves shift upward together – higher flow, nearly constant RAP.
That’s why cardiac output can double or triple in exercise without a rise in filling pressure.
7️⃣ The small caveat — cardiac performance and Ivr

It’s often taught that “contractility determines cardiac output,” but the truth is almost the opposite.
In a healthy heart, flow is set peripherally by Pms, assuming constant Ivr.
Still, improved cardiac performance – better contractility, relaxation, or rate – reduces Ivr, making the inlet easier to fill.
So output can rise slightly even without an increase in Pms.
That’s why inotropes or modest tachycardia can nudge CO upward in health – not because the heart is “pushing harder,” but because it’s easier to fill and empty each beat.
8️⃣ The deeper message

The two-curve diagram is a simplification.
In reality, the circulation behaves as a single coupled system.
The intersection – where the curves meet –
is where RAP settles as a dependent variable, automatically adjusting so inflow = outflow.
RAP doesn’t drive venous return; it reflects the balance between Pms and Ivr.
(More on that in a coming thread)
9️⃣ Clinical meaning

No intervention truly changes only Pms, afterload, or contractility – and that’s why there’s so much confusion about what really determines cardiac output.
In practice, each change also alters Ivr, shifting both curves at once.
So it’s easy to mistake correlation for causation – to think the heart “drove” a change that actually began peripherally.
That’s why fluids, vasopressors and inotropes behave differently depending on ventricular state: they reshape the inlet.
🔟 Take-home

Static diagrams make this look complex – two lines crossing, shifting, labelled with variables.
But the real system isn’t two lines at all – it’s one dynamic loop constantly finding balance.

Pms drives flow, Ivr resists it, and the heart only limits output when it can’t accept more return.

That’s the whole story.
The rest is just how the system re-equilibrates around that simple truth.

(Next time – more on why RAP doesn’t determine cardiac output.)

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Ashley Miller

Ashley Miller Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @icmteaching

Oct 13
🧵 Part 2 — The Venous Return Curve

1️⃣
Last time, we fixed the cardiac function curve.
Now let’s look at the other half of the story — venous return — and how the circulation really feeds the heart.

#FOAMed #MedX #physiology Image
2️⃣
The venous return (VR) curve describes how blood flows into the heart for any steady state of the venous system.
It’s not about forcing RAP up or down — it shows the equilibrium between flow and pressure for a given system tone and volume.
3️⃣
Mathematically:

VR = (Pms - RAP) / Ivr

• Pms = mean systemic filling pressure → “push” from stressed volume & venous tone
• Ivr = inlet impedance – how easily blood enters the heart (similar to Guyton’s RVR but dynamic, not fixed)
• RAP = dependent feedback pressure where inflow = outflow
Read 10 tweets
Oct 10
🧵 The Cardiac Function Curve — why it misleads (Part 1)
1/
The cardiac function curve is one of the most recognisable images in physiology.
Unfortunately, it’s also one of the most misdrawn, mislabelled, and misunderstood.
Let’s redraw it — and see what it really tells us about the circulation.

#MedX #FOAMed #physiologyImage
2/
Textbooks teach: ↑ filling pressure → ↑ output.
But that’s backwards.
The heart doesn’t decide flow — it matches whatever venous return delivers.
It’s a servo, not a suction pump.
3/
This cardiac function curve shows what the heart alone can do at different right-atrial pressures.
But cardiac output isn’t set by the heart in isolation — it’s where this curve meets the circulation’s ability to return blood.
We’ll come to that next time in part 2
Read 16 tweets
Oct 6
1️⃣
Some patients with severe venous congestion have almost no oedema — and that’s confusing at first.
It only starts to make sense once you unpack the physiology. 👇
Venous congestion ↑RAP → ↑venous pressure (Pv) → potentially ↑capillary pressure (Pc).
But the rise in Pc — and thus filtration — depends on arteriolar tone (Ra)
Pc = (Rv / (Ra + Rv)) * Pa + (Ra / (Ra + Rv)) * Pv Image
3️⃣
If arterioles constrict (↑Ra), most of the pressure drop occurs before the capillary → Pc stays low and changes little even if Pv rises.
If they dilate (↓Ra), Pc shifts toward Pa → filtration ↑ → oedema.

Tight = protected.
Dilated = leaky.Image
Read 7 tweets
Sep 16
1/
SVR looks precise: (MAP – RAP)/CO.

But this neat number hides traps. It’s not “afterload,” it’s not pure “tone,” and sometimes it’s not even valid.

A thread on why systemic vascular resistance misleads — and when it still helps. 🧵 #MedX Image
2/
SVR isn’t measured.
It’s calculated from MAP, right atrial pressure, and CO.
That makes it a derived ratio — not a direct property of the circulation.
3/
Because it has “resistance” in the name, we imagine SVR = arteriolar tone.
It doesn’t.
It’s just arithmetic.
Read 15 tweets
Sep 12
🧵 Part 3 — Why ICU RCTs fail (beyond colliders)

1. The puzzle

Decades of critical care RCTs.
Huge effort. Tens of thousands of patients.
Very few reproducible breakthroughs.
This is Part 3 of my series on why ICU trials fail — and why physiology must guide us.Image
2. Heterogeneity (noise, even in “real” diseases)

Even when the trial is valid, patients vary hugely:
– Baseline physiology, comorbidities, genetics
– Different illness phases (early vs late, compensated vs exhausted)
– Co-interventions (ventilation, sedation, antibiotics)

That means a treatment can help some, harm others.
The “needs bigger N” argument reflects the multi-causality of critical illness.
3. Timing & trajectory

Critical illness evolves dynamically.
The same drug may help early but harm late.
RCTs with broad enrolment windows average across very different biological states.
Example: steroids in ARDS → benefit if early/prolonged (DEXA-ARDS), harm if late (older ARDSNet trial).
Read 12 tweets
Sep 6
🧵 Part 2. Heterogeneity vs Colliders in Critical Care RCTs

1. The puzzle

Critical care RCTs keep failing.
The usual explanation?
“Patients are too heterogeneous.”
That’s partly true — but there’s a deeper problem.

Part 2 of a 3-thread series on why ICU trials fail and why physiology must guide us.
2. Heterogeneity (the usual alibi)

Heterogeneity = patients in the same trial differ in ways that matter:
– Age, comorbidities, severity
– Disease heterogeneity (e.g. pneumonia due to strep vs haemophilus)
– Different physiology

This makes treatment effect harder to see. Solution? Bigger trials, subgroups, precision medicine.
👉 RCT model still valid — just noisy.
3. Colliders (bias):

Colliders = when distinct diseases are grouped under one label (e.g. “sepsis”).

Pneumonia sepsis vs UTI sepsis may look the same at the bedside — but causes, trajectories, & treatment responses differ.

Unlike heterogeneity, this isn’t just noise — it’s bias.
👉 And that’s the deeper critique.

thethoughtfulintensivist.substack.com/p/thresholds-b…
@RafaelOliveLeit
Read 8 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(