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Transpulmonary Pressure Patient Engagement, Systems Science, and the Elimination of Preventable Harm Daniel Talmor, MD, MPH
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Page 1: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Transpulmonary Pressure

Patient Engagement, Systems Science, and the Elimination of Preventable Harm

Daniel Talmor, MD, MPH

Page 2: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Disclosures

• Research funding

– NHLBI

– CMS

– Gordon and Betty Moore Foundation

• Advisor

– Intensix

– Medial

• In debt

– To many people, but in particular to Dr. Steve Loring

Page 3: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

ARDS Patient

• Post traumatic ARDS

• 46 y/o male s/p MVC, fractured pelvis

• Compromise of circulation to the legs

• Anasarca and a tense abdominal wall

• Initial ventilator settings– CMV

– TV= 535 cc

– Fi02= 1

– PEEP= 13

Page 4: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

ARDS Mortality: What More Can We Do?

0.5

0.6

0.7

0.8

0.9

1

0 7 14 21 28

Proportion Surviving

Days after study entry

Vt = 12

Vt = 6

Slide courtesy BT Thompson

Page 5: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Animal Experiments Show That Adequate PEEPCan Reduce VILI

• Faridy et al. – Large volume mechanical ventilation increased surface tension

– At a given VT, effect attenuated by higher PEEP

• Wyszogrodski et al. – High volume ventilation inactivated surfactant in cats

– At a given VT, effect less with higher PEEP

• Webb and Tierney – High volume ventilation caused hemorrhagic edema and hyaline membranes in rats

– At constant peak pressure, effect less with higher PEEP

• Muscedere et al. – Even low volume ventilation in lavaged rat lungs caused histological damage.

– Effects were reduced or eliminated with higher PEEP.

• Chiumello et al. – Ventilation of injured rat lungs released inflammatory cytokines.

– At a given VT, effects were less with higher PEEP.

Page 6: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Clinical Trials of Higher PEEP

• Amato demonstrated a benefit to a low tidal volume

strategy combined with PEEP set by LIP of the PV

curve.

• ARIES trial seemed to confirm this

• ALVEOLI trial stopped early for futility

• LOVS trial showed no benefit.

• The EXPRESS trial which set PEEP based on the

airway plateau pressure showed mixed results

Page 7: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

“The LOV study and the Express study not only should conclude the era of comparing PEEP levels in unselected populations with

ALI and ARDS, but also underscore the need for a new definition of ARDS aimed at

identifying patients with greater lung edema and larger recruitability …”

Gattinoni L, Caironi P; JAMA. 2008 Feb 13;299(6):691-3.

Page 8: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Briel M, JAMA, 2010; 303: 865

Page 9: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Optimal Risk/Benefit of PEEP May Depend on Recruitability

0

10

20

30

P=0.566 ml/kg

6 ml/kg

Pplat

Driving Pressure

PEEP(cm H20)

6 ml/kgNon-

recruitable 6 ml/kgRecruitable

Injury >Benefit

Benefit>Injury

Lower PEEP

Higher PEEP

Page 10: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Vent

PL = Pao - PPlPao

PPl

Lung

Chest Wall

PL is the pressure actually distending the lung.

This may be very different from the pressure measured at the airway.

PL May be more important then Pao

Page 11: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Vent

PL = Pao - PPlPao

PPl

Lung

Chest Wall

Titrating ventilation based on ventilator pressures does not allow us to take this variability into account

PL May be Very Different then Pao

Page 12: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Esophageal Pressure to Estimate Pleural Pressure

Page 13: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Mechanical ventilation: Passive

Pes

Volume

Volume

0 25

P-V curveof passiveChest Wall

Pes (cmH2O)

Page 14: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Pressure transducing wafers implanted in dog lungs revealed differences in pleural pressure due to the gravitational effect of the dependant vs. non-dependant regions of the lung.

Pes Values Reflect High Pleural Pressures

-7

+4

Pes 0

Non-Dependant

Mid-Lung

Dependant

Pelosi Am J Respir Crit Care Med 2001; 164:122-130

Page 15: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Relationship Between Transpulmonary and

Airway Pressure

Talmor et al. CCM 2006

Page 16: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Sample Data From Anesthetized Obese

Subject

Paw

Pes

Vol.

Flow

Page 17: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Threshold Paw

Expanded Time Scale

Paw

Pes

Vol.

Flow

6 sec.

Page 18: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

In Humans

Gattinoni. Am J Respir Crit Care Med Vol 164. pp 1701–1711, 2001

Page 19: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

PT 1 Initial Ventilator settings on PCV

Paw

-10

50

0

Pes

PL

50

040

Paw = 13 to 40

Pes = 20 to 33

Ptp = -8 to 6

Page 20: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Ventilator pressures:

PEEP 13 26

which raised

Pplateau 40 46

Pt 1 Strategy: Change ventilator pressures to optimize PL

Page 21: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Pt 1 After Ventilator Changes to Optimize PL

Paw

-10

50

0

Pes

PL

50

040

Paw = 26 to 46

Pes = 22 to 33

Ptp = 4 to 12

Page 22: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:
Page 23: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Talmor D, N Eng J Med, 2008; 359:2095

Page 24: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

N Eng J Med, 2008; 359:2095

Page 25: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

6- Month Survival

Page 26: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

N001 Baseline

17 cmH2O

Pao

Flow

Pes

Ptp

28 cmH2O

-11 cmH2O

Page 27: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

N001 Day 1

33 cmH2O

Pao

Flow

Pes

Ptp

34 cmH2O

-0.8 cmH2O

Page 28: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Echocardiography

Page 29: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Hemodynamics

Sarge et al. ATS 2012

Page 30: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Mechanical ventilation: Passive

Pes

Volume

Volume

0 25

P-V curveof passiveChest Wall

Pes (cmH2O)

Page 31: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Elastance Derived Measurement of Transpulmonary Pressure

ECW = ΔPES/ VT

ERS = ΔPAO / VT

ΔPAO

PL= PAO * EL/ERS

Page 32: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

ECW – based Method

Assumption: Measured slope

of chest wall P-V curve is

accurate, but

Ppl = 0 when Pao = 0

Pressure (cmH2O)V

olu

me

rela

tive

to

Ve

eo

(mL)

PL,eeo = Pao,eeo – Pes,eeo

PL,eio = Pao,eio – Pes,eio

Pressure (cmH2O)

Vo

lum

e re

lati

ve t

o V

eeo

(mL)

Pes – based Method

Assumption: Measured Pes is

approximately equal to Ppl

P-V CurvesRespiratory systemChest wall (Pes – based)Chest wall (ECW – based)

Maintain slope but shift chest wall P-V curve to pass through origin

PL,eio = Pao,eio – (Pao,eio ×

ECW/ERS)

Pressure (cmH2O)

Vo

lum

e re

lati

ve t

o V

eeo

(mL)

PL,eeo = Pao,eeo –(Pao,eeo × ECW/ERS)

Page 33: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Clinical Use of Elastance-Derived PL

Page 34: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Grasso S, Ranieri VM, Intensive Care Med, 2012

Page 35: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

RCTs of Higher PEEP

Amato Villar

P=0.56

Vt

6Vt

12

PPlat

Driving

Pressure

PEEP

(cm H20)

Vt

7

ALVEOLI Express LOVS

Vt

10 Vt

6

Vt

6

Vt

6

Vt

6 Vt

6

Vt

6

Beneficial Non-Beneficial

EPVent

Vt

7

Vt

7

?

+RM +RM

Slide courtesy BT Thompson

Page 36: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

EPVent II- Overall Concept

• A phase II prospective randomized controlled trial of ventilation directed by esophageal

pressure measurements.

• Enroll 200 patients with moderate to severe ARDS by the Berlin conference definition in 10

academic medical centers in North America.

• Randomized to EPVent group or empiric high-PEEP control group.

EPVent2 05-2015

Page 37: Optimizing ICU Safety through Patient Engagement, System … · 2019. 9. 27. · Optimizing ICU Safety through Patient Engagement, System Science and Information Technology Author:

Transpulmonary Pressure

Patient Engagement, Systems Science, and the Elimination of Preventable Harm

Daniel Talmor, MD, MPH


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