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Bundles
The process of bundling evidence-based care practices allows ICUs to keep up with regulatory changes
and practice the most up to date critical care practices. Unlike checklists, ICU care bundles are always
evidence based. Bundles are comprised of interrelated processes and have a limited number of elements
(typically three to seven) whose key processes must be carried out in the same space and time. Bundles
exist addressing ventilator-associated pneumonia, central line infection, catheter-associated urinary tract
infection and pressure ulcer prevention, diagnosis and treatment of sepsis, and promotion of palliative
care. Large collaborative groups in the United States, including the Voluntary Hospital Association, The
Institute for Healthcare Improvement and the Michigan Health and Hospital Association-Keystone
Project, have shown improved patient outcomes after implementation of various bundles.23 Continuing
education is required to maintain appropriate use and compliance with these management bundles. The
implementation and use of sepsis resuscitation bundle and management bundle were significantly
improved after 2 month nationwide education effort to improve compliance with the care for patients
with severe sepsis.24 These evidence-based guidelines and bundles have been shown to improve
mortality and decrease morbidity and ICU related complications. Severe sepsis and septic shock bundles
are associated with reduced in-hospital mortality (Table 10-2). Mortality rates in these centers using
severe sepsis and septic shock bundles decreased by 16.7%.25 It has also been shown that the
implementation of central venous catheter care bundles led to decreased central line associated blood
stream infections (Table 10-3).26 Awakening, breathing, coordination, delirium, and early mobility
(ABCDE) bundles show some improvement in ICU average length of stay and average days on
mechanical ventilation.27 Finally, some have “bundled” a variety of these disparate bundles together to
drive global evidence-based care. The Surgical Care Improvement Project (SCIP) guidelines are perhaps
the most relevant and robust example.
Table 10-1B Extended FAST HUG – as Modified by the Authors from above
Table 10-2 Surviving Sepsis Care Bundle
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The application of evidence-based guidelines into clinical practice, even facilitated by use of bundles,
is often difficult. Educational and quality improvement programs, described above, can improve the
implementation of and compliance with these evidence-based guidelines. Further, it is important to
realize that bundles and any evidence-based guidelines must be continuously updated as new
information comes to the fore, particularly if the level of evidence or strength of recommendation was
weak. Examples in the care of the septic patient will be discussed below. Finally, although use of
bundles can promote team-building by providing objective feedback of performance, competent and
individualized clinical decision-making should not be sacrificed.
Table 10-3 Central Line Associated Bloodstream Infection (CLABSI) Bundle
Table 10-4 Comparison of ICU Scoring Systems
CRITICAL CARE PROGNOSTICATION AND SCORING
4 ICU scoring systems have been used to provide a framework to describe patients’ severity of illness
for the routine evaluation of ICU performance, quality improvement initiatives and to prognosticate
outcome.28 The most robust prognostication systems compare observed and risk-adjusted hospital
mortality for critically ill patient groups derived from analysis of large data sets. They operate on the
premise that early physiologic derangements prior to resuscitation and therapy present early in the ICU
admission will influence hospital mortality. Other systems have been developed to quantify organ
dysfunction and therapeutic interventions predicted.
The ideal scoring system should be valid, reliable, calibrated, discriminating, and simple. The
Glasgow coma scale score is an apt example. However, since ICU patients are heterogeneous,
documentation is often incomplete and practices are not standardized, such a system is not available in
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the ICU. The most frequently used severity of illness scores in an adult ICU used to prognosticate
hospital mortality are Acute Physiology and Chronic Health Evaluation (APACHE), the Mortality
Probability Model (MPM), and the Simplified Acute Physiology Score (SAPS) with higher scores
portending increased hospital mortality. APACHE and MPM were developed using data predominantly
from the United States; SAPS was more global (Table 10-4). To stay relevant and useful, these scoring
systems require and have undergone regular updates and regional customizations. These scoring systems
are currently in their third and fourth generations. It is vital to remember that these scoring systems
provide prognostication for the outcome of an ICU population more accurately than for an isolated
patient.
APACHE was developed several decades ago by William Knaus and colleagues at George Washington
University. The inaugural version ranked 34 acute variables from one to four and weighted chronic
health conditions A to D to render a score with higher numbers suggesting more acutely ill patients.
Versions two and three decreased the acute variable to 12 and 17, respectively, and created a simpler
way to weight the chronic health evaluation. The proprietary (and expensive) version, APACHE III,
never had large market penetration and was much more complex than earlier versions. APACHE IV29
which included more variables has many components in the public domain; however, without a
regulatory requirement to provide risk-adjusted ICU metrics and the need to employ personnel to verify
and interpret data, it is also not widely used. Further, since the data is collected at the time of ICU
admission, the possibility of lead-time bias exists. APACHE provides an algorithm for prediction of ICU
length of stay. Several studies have indicated that the current version of APACHE, although labor
intensive, is more accurate in prognosticating outcome due to better calibration and discrimination with
fewer excluded patients. This is particularly true for surgical patients.
SAPS shared many variables and weightings common with APACHE but provided separate
prognostication for medical, scheduled and unscheduled surgical patients; cardiac and burn patients are
excluded.30 Further, it provides customizable equations to predict outcome according to seven distinct
geographic locations.
The MPM uses dichotomous physiologic (not laboratory) variables for the most part (simplifying data
collection), collecting data both upon admission and at 24 hours to measure mortality risk at 24 and 48
hours. However, it excludes more patients than does APACHE. MPM-III has been further modified with
additional variables and different patient exclusions and is known as the ICU Outcomes Model (ICOM)
that has been endorsed by the National Quality Forum of the United States for public reporting of riskadjusted hospital mortality of ICU patients.31
The future of ICU prognostication may well involve interpretation of “big data” that relies less on
traditional data acquisition and storage and more on linear or logistic regression modeling. Much work
must be done in this realm before practical applications are available.32
Several organ failure scores exist as well, designed to link homogeneous patients for the purpose of
clinical trials and quality assessment. They can be used to provide initial as well as serial assessments.
The SOFA and Marshall scores consider variables in six categories (respiratory, cardiovascular,
hematologic, central nervous system, renal, and hepatic). The Denver score excludes the hematologic
and neurologic components. A Marshall or Denver score greater than or equal to 4 implies multiorgan
dysfunction (Table 10-5).33,34
TISS provides a sum of all interventions in physiologic categories to assist with resource utilization.
HEMODYNAMIC MONITORING AND TREATMENT
Oxygen Delivery and Consumption
Oxygen delivery (DO2
), the rate at which oxygen is transported to the microcirculation from the lungs,
is the product of cardiac output and arterial oxygen content (CaO2
) and is normally about 1,000
mL/min. CaO2
, in turn, is the product of hemoglobin and oxygen saturation (SaO2
) multiplied by 1.34
(g oxygen per 100 mL hemoglobin) added to the partial pressure of oxygen (PaO2
) multiplied by 0.003.
Thus, delivery falls in instances of cardiac failure, hypovolemia, anemia, or less so due to poor
oxygenation. Oxygen consumption (VO2
), the rate at which oxygen is removed from the blood by the
microcirculation, is the product of cardiac output and the arteriovenous O2 difference (CaO2 − CvO2
)
and is normally 250 mL/min in an average adult. Thus, oxygen extraction (OE) ratio or the ratio of VO2
to DO2
is normally about 25%. (The myocardium has the body’s highest extraction ratio at
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approximately 75%.) Consumption remains constant over a wide range of DO2 by changes in OE. For
example, in situations of decreased delivery such as hemorrhagic or cardiogenic shock, consumption can
be maintained by increasing the extraction ratio. This mechanism may be altered in critically ill patients
who show marked increases in consumption under the influence of stress hormones and catecholamines.
However, there is little evidence that artificially augmenting DO2
to so-called supranormal levels by
means of inotropes or red cell transfusion results in improvement in morbidity or mortality.
Table 10-5 Marshall Multiple Organ Dysfunction Syndrome (MODS) Versus
Denver Multiple Organ Failure (MOF) Organ Failure Scores
Mixed venous oxygen saturation (SvO2
) is expressed as 1-VO2/DO2, with normal values of 60% to
80% that can be continuously displayed with an oximetric pulmonary artery catheter or measured from
the distal port. Reductions in SvO2 reflect a mismatch between DO2 and VO2
(Table 10-6).
Hemodynamic Monitoring
Assessment of volume status and cardiac function of the critically ill patient is evolving. Traditional
static measures of volume assessment using central and pulmonary artery catheters (PACs) are being
replaced in many settings by dynamic or functional measures afforded by technologies such as pulse
waveform analysis and focused cardiac ultrasound (ECHO). Similarly, indirect measurement of cardiac
function by PACs is being subsumed by pulse waveform analysis and systolic and diastolic evaluation of
left and right global and regional function using ECHO.
Assessment of Fluid Responsiveness
The concept of volume status using static measures has evolved to “volume responsiveness” using
dynamic or functional measures to assess whether a fluid bolus will improve the stroke volume (SV) and
cardiac performance of a critically ill patient, the principal goal of resuscitation. Static measures such as
central venous pressure (CVP) and pulmonary artery occlusion pressure (PAOP) can give inferential
data of cardiac filling pressures at a single time-point, which then extrapolates to cardiac preload (end
diastolic volume) and volume status of the patient. However, these pressures can be altered depending
on cardiopulmonary physiology, do not always correlate with Frank–Starling principles, and give no
indication of whether the patient will respond to a bolus of infused fluid, which is ultimately what those
tasked with resuscitation want to know.
Static measures of volume status include assay of CVP and PAOP. These measures are made at end
expiration when the pleural pressure is closest to atmospheric pressure. Normal venous waveform
components include the “a” wave (corresponding to atrial contraction), the “c” wave (tricuspid valve
closure and isovolumic right ventricular contraction), and the “v” wave (ventricular ejection driving
venous filling of the atrium) (Fig. 10-1). Clinically, the high point of the “a” wave is the atrial pressure
at maximum contraction, where atrial pressure is greater than ventricular diastolic pressure. Here, the
atrium is contracted and the tricuspid valve is open, which is synonymous with right ventricular end
diastolic pressure, making the ventricle, atrium, and vena cava interconnected. Optimally, this is the
point at which the CVP is measured. Unfortunately, many intracardiac and extracardiac interactions can
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alter these pressure relationships in the vena cava and diseased heart, and, thus, affect the CVP
waveform. For example, atrial fibrillation fails to produce an “a” wave, and AV-dissociation produces
irregular augmented (cannon) “a” waves with absent “c” and “v” waves, making calculation of mean
CVP difficult. Tricuspid regurgitation and tamponade may produce augmentation of the v wave and
falsely imply adequate or increased intravascular volume in a patient who may be hypovolemic. Thus,
the CVP waveform may fail to provide an adequate reflection of volume responsiveness in diseased
states.
Table 10-6 Oxygen Delivery and Consumption Equations
Figure 10-1. Normal venous waveform with ECG.
5 Further, the use of CVP to guide resuscitation has not been demonstrated to be beneficial in many
large clinical series. A large meta-analysis revealed a very poor relationship between CVP and blood
volume.35 Additionally, several large recent trials of sepsis resuscitation demonstrated that resuscitation
targeted to CVP endpoints did not improve outcome.36,37
Pulmonary artery catheter-based volume assessment employs the principle that a single column of
fluid forms from the pulmonary artery to the left ventricle during diastole. For a given left ventricular
end-diastolic pressure (LVEDP) and compliance, left ventricular end-diastolic volume (LVEDV) can be
estimated. Based on the Frank–Starling principle, the force of ventricular contraction is proportional to
muscle stretch and LVEDV, thus as PAOP estimates LVEDV for a given cardiac output, preload may be
determined. Numerous physiologic changes may alter the relationship between PAOP and LVEDV,
including veno-occlusive disease, pulmonary hypertension, ARDS, increased intrathoracic pressure,
valvular disease, and altered cardiac compliance. Finally, large clinical trials have failed to demonstrate
a benefit to outcome for those resuscitated to a PAOP endpoint.38
Dynamic or functional measures of volume responsiveness include those on both the arterial side and
venous side of the heart. Normally, the inspiratory increase in pleural pressure during positive pressure
breathing reduces right ventricular preload and stroke volume, manifested on the arterial side within
two to three beats in most. Left ventricular stroke volume diminution is maximal during expiration.
These normal physiologic changes during the mechanically supported respiratory cycle are augmented
with hypovolemia that is volume responsive. Pulse waveform analysis uses analysis of the arterial
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pressure waveform. The area under the curve corresponding to systole (i.e., before the dicrotic notch) is
used to calculate stroke volume (Fig. 10-2). Computer calculation is made of the maximal and minimal
amplitude of the curve. In general, a variation in stroke volume (SVV) of greater than 13% to 15%
reflects volume responsiveness, whereas values below this threshold imply that the patient is beyond
the upper inflection point of the Frank–Starling curve, and will not benefit from further volume loading.
There are instances where it is possible to misinterpret these values. For example, high vasopressor
burden or lack of arterial compliance (such as in diffuse atherosclerosis) may alter blood flow and
arterial wave morphology, respectively. However, clinical applications of SVV as a volume assessment
tool have been promising.39
Venous assessment of volume responsiveness is performed by ECHO, which can also perform arterial
side estimation. ECHO can provide volume assessment with both static and dynamic values. Further,
many static measures can be rendered functional by performing measurements both before and after a
passive leg raise, a maneuver that replicates volume loading. Passive leg raising measurements may be
the only accurate methodology to approximate fluid responsiveness in spontaneously breathing patients.
In these patients, a breath results in an increase in SV and systolic pressure. Static values include
measurement of the inferior vena cava (IVC) on the long axis view, or in some series by the superior
vena cava (SVC) or internal jugular vein (IJV) on the venous side or calculation of the velocity time
integral (VTI) on the arterial side. Collapsibility of the IVC (or SVC/IJV) of at least 15% and as much as
50% during respiration predicts fluid responsiveness.40 Right-sided heart failure may alter the size
relationships of the central veins, thus providing an underestimate of fluid responsiveness using venous
measurements (lack of respiratory variation due to pressure overload and diminished venous return to
the heart). Arterial assessments are typically done of aortic blood velocity approximated from the VTI.
Assessment of Cardiac Function is best understood by recollection of the cardiac pressure–volume
curve depicting the cardiac cycle (Fig. 10-3). Starting at the top right at “A,” the aortic valve opens and
blood is ejected into the outflow tract. At “B” systole ends as the aortic valve closes. A period of
isovolumic relaxation occurs and ventricular pressure falls until the mitral valve opens at “C,” the start
of diastole. Diastole ends as the mitral valve closes at “D” and then there is a period of isovolumic
contraction with both valves closed until the cycle repeats. Note that the distance across the box
represents SV. SV is the amount of blood ejected per beat and is expressed in mL and determined by
preload, afterload, and contractility. The product of SV and heart rate is CO. Ejection fraction (EF), a
more valid estimate of cardiac function, is the proportion of preload or EDV ejected per beat or
SV/EDV.
Figure 10-2. Arterial pressure waveform. Area under systole curve is used to calculate stroke volume. pSBP, peripheral systolic
blood pressure; pPP, peripheral pulse pressure; pDBP, peripheral diastolic blood pressure.
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Figure 10-3. Left ventricular pressure–volume curve. Ees, LV elastance; Ea, arterial elastance; ESV, end-systolic volume; EDV, enddiastolic volume; ESP, end-systolic pressure; EDP, end-diastolic pressure; LV, left ventricle. A: aortic valve opens; B: aortic valve
closes; C: mitral valve opens; D: mitral valve closes.
PA catheters determine cardiac output by thermodilution. The thermodilution technique measures
temperature changes sensed by a balloon at the distal end of the catheter after a cold saline injection is
performed through the proximal port. Based on the modified Stewart–Hamilton equation, which
constructs a plot of temperature change against time, measurements of cardiac output can be obtained.
Thermodilution technique assumes that complete mixing of the blood occurs, that there is constant
blood flow in the heart, and that there is no loss in concentration of the indicator between the point of
injection and the distal balloon tip. Slow injections, incorrect volumes of injectate, incorrect
temperature of injectate, either isolated or in combination with anatomic and physiologic cardiac
derangements can alter the accuracy of cardiac output determination.
Pulse contour analysis can also be used to measure stroke volume (and hence cardiac output). Using
PAC thermodilution as the gold standard, accuracy is acceptable.
ECHO does not suffer from many of the shortcomings of CVP, PAC, or arterial line assessment with
regard to the assessment of cardiac function. ECHO can determine left ventricular function (systolic and
diastolic), right ventricular function, and assess wall motion abnormalities, valve defects, pericardial
fluid, and provide real-time information on effectiveness of inotropic and vasopressor therapy. ECHO
can provide information about heart function in a qualitative or quantitative fashion – it can be used to
assess left and right heart morphology, dynamics, and size, and can determine the difference in EF and
stroke volume, and perform quantitative estimates of pulmonary artery and right ventricular pressure.
ECHO is unique in that it is the only tool available that can provide EF data in addition to SV (CO).
Shock states may be due to impaired EF or contractility (requiring inotropy) or due to diminished
volume status and stroke volume (requiring fluid), which is not discernable with a PAC. Various ECHO
methodologies are available to determine and measure EF, including a purely qualitative one that is
reasonably accurate compared to quantitative means.
ECHO can also discern right heart dysfunction, very common in surgical ICU patients by examining
size, morphology and function of the right ventricle. Underfilling of the left heart, typically treated by
volume loading, requires attention to inotropic support in the case of right heart failure. Finally, unique
to ECHO is the ability to assess for diastolic dysfunction as occurs with sepsis, tamponade, and increased
pleural pressure (as with pneumothorax, abdominal compartment syndrome, and massive pleural
effusions).
TREATMENT OF CARDIAC ARREST AND DYSRHYTHMIAS
Dysrhythmias are extraordinarily common in both cardiac and noncardiac surgical ICU patients. Those
most life-threatening can be treated by following current American Heart Association Advanced Cardiac
Life Support (ACLS) guidelines.41 For patients who become pulseless in the ICU, rapid restoration of the
circulation employing basic life support strategies (BLS) is vital. The most important features of the
current BLS guidelines include the recognition that cardiopulmonary resuscitation (CPR), when
indicated, be delivered by pushing hard and fast with complete recoil at a rate of at least 100
compressions/min to a depth of 2 in in adults. CPR providers should deliver no more than 2 minutes of
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therapy each (or five cycles of compressions) until a personnel switch is made. In adults, the ratio of 30
compressions to 2 breaths is maintained until ventilation can be controlled by intubation and controlled
ventilation. Cricoid pressure is not recommended in current ACLS guidelines. Further, the rapid use of a
defibrillator is key to improving postarrest survival. Of course, in ICU patients, cardiac arrest is often
witnessed and the underlying rhythm known and may not respond to defibrillation. Sadly, cardiac arrest
from a rhythm other than ventricular fibrillation, such as from bradycardia progressing to asystole or
pulseless electrical activity (PEA), portends a poor prognosis, often as the result of acidosis or profound
hypoxia incidental to sepsis and multiple organ failure. Another important feature of the current BLS
and ACLS guidelines that may impact surgical ICU patients is the recognition of the need for postcardiac
arrest care. This certainly includes fluid resuscitation and administration of pressors and inotropes as
needed. However, there may also be a need to interrogate via coronary angiography and treat for acute
coronary syndrome if anticoagulation can be tolerated and for consideration of postarrest hypothermia
to preserve neurologic function. Although hypothermia protocols were established to address out of
hospital cardiac arrest with coma, there has been increasing use of the modality for hospitalized patients
as well. Current guidelines also address new technology with biphasic electrical sources that deliver
shocks for dysrhythmias with a pulse and defibrillation in those with ventricular fibrillation. Another
important component of the recommendations is the use of end-tidal CO2 monitoring to ensure
adequacy of CPR quality.
Three dysrhythmias produce pulselessness: ventricular fibrillation, asystole, and PEA. Only
ventricular fibrillation is responsive to defibrillation which is with 120 to 200 J using a biphasic device
as per manufacturer’s recommendations. PEA and asystole are treated by administration of epinephrine
(1 mg every 3 to 5 minutes) and/or vasopressin (40 U one-time dose). Pulseless ventricular tachycardia
is treated like ventricular fibrillation with additional shocks given after five cycles of CPR (2 minutes).
In addition, epinephrine and vasopressin are administered as CPR continues. Continued pulseless
ventricular tachycardia and fibrillation can be treated with amiodarone (300 mg with a second dose of
150 mg if refractory) or lidocaine (1.0 to 1.5 mg/kg).
For the remainder of dysrhythmias, several key features should be noted. Is the patient,
hemodynamically stable or unstable? Is the EF normal or altered? Is the dysrhythmia acute or long
standing? Hemodynamic instability in association with a rhythm disturbance often renders electrical
therapy more desirable, if possible. In those with a low EF, antiarrhythmics that are also negative
inotropes should be avoided. Finally, even duration of as little as 48 hours can increase the risk of
thrombotic complications of some dysrhythmias (e.g., atrial fibrillation) and can alter therapeutic
decisions.
PULMONARY GAS EXCHANGE
Consists of the intake of oxygen by pulmonary capillaries from the alveoli and the excretion of carbon
dioxide in expired breaths.
Oxygenation
Normal lung function and gas exchange require patent and dry alveoli with a narrow interface with the
pulmonary capillaries. Once red blood cells become saturated with oxygen, the rest dissolves into the
plasma and the measured partial pressure of oxygen (PO2
) is 100 mm Hg with an oxygen saturation
(SaO2
) of 100%. Since a small portion of blood is diverted away from the pulmonary circulation (via
bronchial vessels), a normal PaO2
is 90 mm Hg with 98% saturation. Insufficient blood oxygenation is
termed hypoxemia. This is to be differentiated from hypoxia, which is abnormally low oxygen content
in a tissue or organ. The alveolar to arterial (A-a) oxygen gradient is a common measure of oxygenation
(“A” denotes alveolar and “a” denotes arterial oxygenation). PaO2
is measured by arterial blood gas,
while PAO2
is calculated using the alveolar gas equation: PAO2 = (FiO2 × [Patm − PH2O]) − (PaCO2
÷ R) where FiO2
is the fraction of inspired oxygen (0.21 at room air), Patm is the atmospheric pressure
(760 mm Hg at sea level), PH2O is the partial pressure of water (47 mm Hg at 37°C), PaCO2
is the
arterial carbon dioxide tension, and R is the respiratory quotient. The normal gradient is about 10 mm
Hg. Dividing the PaO2 by the FiO2 estimates the A-a gradient, which normally approximates 500.
Perturbations causing hypoxia and hypoxemia may be the result of hypoventilation relative to
perfusion (V/Q mismatch), impaired diffusion, or shunt. Hypoventilation, a result of neuromuscular
dysfunction (or more typically iatrogenic due to medications) and impaired diffusion (occurring with
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