Monitoring for Myocardial Ischemia
Three methods are used to detect myocardial ischemia during the
perioperative period: surface ECG, transesophageal
Figure 52-7
Heart rate and ST segment trends the evening before surgery
from an ambulatory electrocardiographic monitor for a patient scheduled for femoropopliteal
bypass. Notice the "mirror image" heart rate-related ST segment depression occurring
at subtachycardic heart rates (about 85 beats/min). (Adapted from Frank
SM, Beattie C, Christopherson R, et al: Perioperative rate-related silent myocardial
ischemia and postoperative death. J Clin Anesth 2:326–331, 1990.)
echocardiography (TEE), and pulmonary artery catheterization (see Chapter
32
, Chapter 33
,
and Chapter
34
). The sensitivity and specificity for ischemia detection, the level
of training required, and the cost of these methods differ and are important considerations.
Evidence suggests that ischemia monitoring is important during and after vascular
surgery. Ischemia may lead to infarction,[55]
[87]
especially when the ischemia is sustained over time (>2 hours).[127]
[144]
Although no controlled clinical trials have
demonstrated a reduction in perioperative morbidity with ischemia monitoring and
treatment, the anesthesiologist should optimize the clinical determinants of myocardial
oxygen supply and demand in an attempt to resolve the ischemic condition.
Electrocardiographic monitoring for ischemia is the least expensive
method and requires the least training. Subendocardial ischemia is the most common
type of ischemia in the perioperative setting and is manifested by ST segment depression
on the ECG.[145]
Transmural ischemia is much less
common and is usually accompanied by ST segment elevation in the leads facing the
injury, with reciprocal ST segment depression in one or more of the other leads.
A variety of independent measures of ischemia, including abnormalities of myocardial
perfusion,[146]
regional left ventricular dysfunction,
[147]
and pulmonary and left ventricular pressure
changes,[148]
have been correlated with ST segment
changes that meet the following criteria (1 × 1 × 1 rule)
[149]
: horizontal or downward sloping ST segment
depression, 60 to 80 msec after the J point of at least 1 mm from the isoelectric
baseline; duration of at least 1 minute; and separation from other discrete episodes
by at least 1 minute of normal baseline.
Electrocardiographic monitoring should be performed in the diagnostic
mode (0.05-Hz low-frequency cutoff) rather than the monitoring mode (0.5-Hz cutoff).
[149]
The increased filtering in the monitoring
mode can create artifactual ischemic changes as a tradeoff for decreased baseline
wandering. Electrocardiographic morphology should always be assessed from a printed
hard copy because monitors do not accurately show electrocardiographic morphology.
[150]
Electrocardiographic changes consistent with
ischemia are difficult to detect in patients with right bundle branch blocks, left
ventricular hypertrophy with a strain pattern, or atrial fibrillation.[149]
Ischemia monitoring by ECG is not possible in patients with left bundle branch block
or pacemaker dependency.[149]
In one large study,
[80]
15% of vascular surgery patients had electrocardiographic
abnormalities that precluded ischemia monitoring. During the intraoperative period,
London and colleagues[151]
studied noncardiac surgery
patients and concluded that although V5
was the single most sensitive
lead for detecting intraoperative ischemic changes (75% of episodes were evident
in this lead), the sensitivity was increased to only 80% by monitoring leads II and
V5
together. With a three-lead system (leads II, V4
, and V5
)
96% of ischemic changes were detected. During the postoperative period, routine
intensive care unit surveillance has a low sensitivity for
detecting electrocardiographic evidence suggestive of prolonged myocardial ischemia
compared with frequent 12-lead electrocardiographic monitoring.[152]
Over the past decade, computerized ST segment analysis has become
one of the most valuable tools for ischemia monitoring. There is, however, no computerized
system that is reliable enough to use without the interpretation of a trained clinician
who can differentiate true ischemic changes from artifact. Computers are often fooled
by baseline ST segment depression from abnormalities such as left ventricular hypertrophy
and strain patterns. These systems are not sophisticated enough to analyze morphology
(i.e., slope of the ST segment), and they rely primarily on the degree of change
from an isoelectric baseline. Nonetheless, the most reliable way to monitor for
ischemia is to follow the trend for ST segment elevation or depression over time
by use of a computer algorithm. Computerized ST segment analysis, when used properly,
is one of the most significant advances in perioperative monitoring.
Two-dimensional TEE has emerged over the past decade to become
one of the most sensitive monitors of cardiac function. Evidence suggests that segmental
wall motion abnormalities occur earlier than electrocardiographic changes at the
onset of ischemia.[153]
The echocardiographic changes
during ischemia are characterized by decreased ventricular wall thickening during
systole, but the clinician needs to be relatively well trained to recognize such
changes. Another drawback is the significant cost of the echocardiographic equipment.
Although it is possible to perform TEE in awake or sedated patients, the procedure
is often not well tolerated, making this technique less desirable during regional
anesthesia or during the postoperative period.
Detection of ischemia is possible by use of a pulmonary artery
catheter, but this technique is a distant third choice when compared with other methods
(i.e., TEE or ECG). Episodes of ischemia are manifested as an abnormal pulmonary
capillary wedge pressure waveform or an absolute increase in mean pulmonary capillary
wedge pressure of 10 mm Hg or greater.[154]
This
technique has low feasibility because, ideally, the balloon-tipped catheter needs
to be constantly or frequently inflated to detect such changes.