HemoSimPractical Hemodynamics
Novice pathway
1. What is shock2. Oxygen delivery3. Recognize shock4. Big picture5. Curves + grid6. ACT method7. PA catheter8. Put it together

Module N6

The ACT method

We now have a way of thinking about the circulation, the closed loop with its interfaces and the interactions between the cardiac function and venous return curves. We have translated all of this into the shock-type grid. The last step is to turn all of that into something you can actually do at the bedside, again and again, as you assess and treat a patient in shock. One method is A.C.T.: a deliberate, repeatable loop that forces you to make sense of the data you already have, name what you think is wrong, and then prove it with a single hemodynamic variable.

A
Assess
What information do I have at my disposal right now?
C
Create a hypothesis
What is that information telling me about the physiology?
T
Test
What single test or intervention will confirm or refute it?

The thinking process is not novel. What makes it powerful is that it is a conscious, deliberate act that prevents reflexive behaviors. Saying each step out loud is what moves you from the subconscious impulse of type 1 thinking toward a process a whole team can follow, even when a case refuses to behave the way the textbook says it should.

Before you A.C.T.: the B.U.S. gate

A.C.T. is not something you run on every patient. The B.U.S. exam from earlier answers the two screening questions that decide whether the full workup is worth it: is shock present? and is the etiology obvious? If perfusion is failing and the cause is already clear, you simply treat. It is when shock is present but the type is not obvious, or when a patient you thought you understood is worsening despite intervention, that you commit to the Advanced Hemodynamic Evaluation and walk the A.C.T. loop. Put simply: walk into the room, take the B.U.S., and if it is positive and the shock type is unclear, A.C.T.

Assess: start with the data you already have

Assess is everything in front of you before you order anything new: the B.U.S. findings, the vital signs, the monitor, the trends, the labs, and the bedside echo. The only question is "what data do we have?" Let's walk through a case together.

A 79-year-old woman presents with abdominal pain and nausea. She has a history of atrial fibrillation and coronary artery disease, is on warfarin and metoprolol, and has a HR 120, BP 75/45 (MAP 65), clear lungs, and a soft but tender right lower quadrant. Urine output is low and she seems mildly confused. None of this is a diagnosis yet. It is the raw material the next two steps organize.

Elderly woman in a hospital bed beside a monitor
Assess begins with the patient already in front of you. Everything here is data to be organized, not yet a diagnosis.

Create a hypothesis: apply the data to create a physiologic cause/effect hypothesis

This is where the last two modules pay off. Instead of reaching for a label, you go back to the graphs and the equations and ask where in the circulatory loop the body is failing. Draw the normal venous return and cardiac function curves, shift them to match the most likely shock etiology, and determine what the grid should show.

MAP - Pcrit = CO × SVR
Pcrit - Pms = Rcapillary × CO
Pms - RAP = CO × VR
mPAP - LAP = CO × PVRThe four interface gradients. Each is a pressure difference driving flow against a resistance. Read together they trace blood from the arterial side, through the capillaries to the venous reservoir, back to the right heart and across the lungs. In shock, the failing point shows up as a deranged term in one of these lines.

Each interface has components you can measure, components you cannot measure, and components that are calculated. The shock-type grid is simply the map that takes a suspected mechanism and confirms the pattern of measurable values it should produce.

Shock typeMAPCORAPPAPmLAPSVR
Cardiac (LV)↓↓↑↔/↑↑↑
Obstructive (RV)↓↓↑↑↔↑
Distributive↓↔/↑↓↔↔↓
Hypovolemic↓↓↓↔↔↑

For the 79-year-old woman, fever, abdominal pain, and age point first toward sepsis with distributive shock. Walk that across the curves: venous capacitance rises as small veins actively dilate, so stressed volume shifts to unstressed and the venous return curve slides left, dropping CO at first. Dilation of the large veins with shunting into low-resistance beds lowers venous resistance and shifts the slope of the venous curve up. The subsequent catecholamine response lifts the cardiac function curve up and to the left. The net prediction for distributive shock is a low RAP with a normal-to-high cardiac output. That is a testable statement, not a hunch.

Cardiac function and venous return curves in distributive shock, with operating points a through d
In a patient with distributive shock, the venous return curve moves left as vasodilation occurs and Pms falls (a->b). The slope of this curve also increases due to vasodilation and subsequent venous resistance (b->c). Finally, a catecholamine response increases ventricular inotropy and shifts the cardiac function curve upward (c->d).

Test: pick the one parameter that decides

Test is the discipline that turns a guess into a method. Of the six columns in the grid, MAP is low in every shock state, and an accurate assessment of mPAP or LAP usually requires invasive measurement or advanced echo. The Advanced Hemodynamic Evaluation trims the grid to the three things you can characterize at almost any bedside, an approach worth naming as Tone, Filling, and Flow.

SVR
Tone
Diastolic pressure, skin temperature, mottling, capillary refill time. Is the vasculature clamped down or wide open?
RAP
Filling
JVD, CVP. How full is the venous reservoir the heart is drawing from?
CO
Flow
Echo VTI, thermodilution, or Fick. How much blood is actually moving?
Shock typeTone (SVR)Filling (RAP)Flow (CO)
Cardiac (LV)↑↑↓
Obstructive (RV)↑↑↓
Distributive↓↓↔/↑
Hypovolemic↑↓↓

The key move is to avoid "measuring everything." Before you act, look across the row of your working hypothesis and the rows you want to rule out. Then select the parameter that distinguishes that type of shock from the others. For the distributive shock hypothesis, a low RAP would narrow things to distributive or hypovolemic, but cardiac output is better still: it is the one variable that distinguishes distributive shock from every other type.

As a preemptive caution, remember: whatever tool you reach for, respect its limits and, when possible, confirm with additional supporting evidence. The number is a piece of evidence, not a verdict, which is exactly why the loop does not end here.

A.C.T. is a loop, not a checklist

Once you have assessed the cardiac output, it becomes new data, and it feeds straight back into the Assess step in our A.C.T. algorithm. But you are not done. At this point, you need to reassess with the additional data to ensure that your original hypothesis is correct. If the data does not fit, the next step is to use the additional data to modify the original hypothesis and retest. We will return to this in Module 8. The take home point is that the loop keeps repeating as the patient evolves. That is the whole method: not a script, but the habit of always knowing which parameter you are evaluating, and why.

Most of A.C.T. can be run with your eyes, your hands, a central line or a bedside echo. Some patients, though, need the filling and flow numbers that only a pulmonary artery catheter can give directly, which is where we go next.

Figure placeholder · the A.C.T. schematic, Assess to Create a hypothesis to Test and back to Assess, drawn as an iterative loop.Built as a vector (.emf) graphic in the Assessing Shock deck, slides 17 and 26. Export a static raster during the N6 build. Logged in the Graphics Follow-Up document.

References

  1. Funk DJ, Jacobsohn E, Kumar A. The role of venous return in critical illness and shock, part I: physiology. Crit Care Med. 2013;41(1):255-262. doi:10.1097/CCM.0b013e3182772ab6.
  2. Funk DJ, Jacobsohn E, Kumar A. Role of the venous return in critical illness and shock: part II, shock and mechanical ventilation. Crit Care Med. 2013;41(2):573-579. doi:10.1097/CCM.0b013e31827bfc25.
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