(Circulation. 1997;96:1776-1782.)
© 1997 American Heart Association, Inc.
Articles |
From the Department of Pathology (R.H.C., S.-H.D., G.L.A.), University of Maryland School of Medicine, Baltimore; Department of Medicine (E.M.O., S.P., L.K.N., R.M.C.), Division of Cardiology, Duke University Medical Center, Durham, NC; Department of Cardiology (E.J.T.), Cleveland Clinic Foundation, Cleveland, Ohio; The Christ Hospital (D.J.K.), Cincinnati, Ohio; Lancaster (Pa) General Hospital (S.J.W.); and Moses Cone Hospital (T.C.W.), Greensboro, NC.
Correspondence to Dr Robert H. Christenson, Clinical Pathology, University of Maryland Medical Center, 22 S Greene St, Baltimore, MD 21201.
| Abstract |
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Methods and Results We examined the relation between various myoglobin measures and Thrombolysis In Myocardial Infarction (TIMI) flow grade in 96 patients enrolled in a study of front-loaded thrombolysis who underwent 90-minute angiography. We also combined myoglobin measures with models that include clinical and creatine kinaseMB variables. The myoglobin level measured within 10 minutes of acute angiography showed the best overall performance and was used for later analyses. Of the clinical variables examined, only time from symptom onset to thrombolysis and chest pain grade at angiography discriminated among TIMI flow grades. Combining the 90-minute myoglobin level and these clinical variables showed a significant difference (P<.0001) between both TIMI 3 versus TIMI 0 through 2 and TIMI 2 or 3 versus TIMI 0 or 1 flow. When the 90-minute myoglobin level was added to an established predictive model containing clinical variables and creatine kinaseMB measures, its contribution remained significant (P=.044). The area under the receiver operator characteristic curve for this combined model was .88.
Conclusions A single myoglobin measurement obtained 90 minutes after the start of thrombolysis, combined with select clinical variables and creatine kinaseMB levels, enhances the noninvasive prediction of reperfusion after myocardial infarction.
Key Words: creatine kinase myoglobin reperfusion thrombolysis
| Introduction |
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Coronary angiography remains the "gold standard" for assessment of coronary patency. However, because it is associated with high cost, limited availability, and increased morbidity when performed acutely, this invasive procedure is not practical or prudent for all patients receiving thrombolytic therapy.12 13 14 15 Hence, there is substantial interest in noninvasive methods to identify the 20% to 25% of patients in whom the coronary occlusion persists.5 7 Clinical indicators such as cessation of pain and "reperfusion" arrhythmias have been proposed as noninvasive markers of coronary artery patency; however, these indicators alone were found to be relatively unreliable.16 17 18 19
There has been substantial interest in biochemical markers such as CK-MB,20 21 22 23 24 the MM and MB subtypes of creatine kinase,25 26 27 28 and troponin T29 for the noninvasive assessment of reperfusion. However, no biochemical marker shows the early release characteristics of myoglobin, which is elevated as early as 1 hour after myocardial injury30 31 32 and is washed out rapidly after coronary reperfusion.30 32 33 34 35 36
CK-MB release measurement strategies, including a single sample
obtained 90 minutes after thrombolytic therapy,
(90-minute value/prethrombolytic therapy level),
slope of CK-MB release, and CK-MB ratio (90-minute
value/prethrombolytic level), have been compared
directly.20 Of these, the slope of CK-MB release yielded
the greatest separation between groups of patients having TIMI 0 or 1
and TIMI 2 or 3 flow (
2=12.9,
P<.0003).20
In the present study, we examined various myoglobin measures in a cohort of MI patients who received thrombolytic therapy and underwent acute angiography. We sought to identify the value of myoglobin and the CK-MB release measurement strategy, in combination with clinical variables, for the noninvasive assessment of patency after thrombolysis.
| Methods |
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Acute Coronary Angiography
To evaluate patency in the infarct-related artery, all patients
were to undergo acute angiography 90 minutes after
thrombolytic therapy was given. Coronary blood
flow in the infarct-related artery was graded according to the TIMI
classifications.4 Two classifications of successful
reperfusion were analyzed. The first defined reperfusion as
TIMI grade 2 or 3 flow in the infarct artery; grade 0 or 1 flow denoted
failed thrombolysis. The second defined reperfusion as
only TIMI grade 3 flow in the infarct artery; grade 0, 1, or 2 flow was
considered unsuccessful thrombolysis.38 39
All angiograms were interpreted in the angiographic core laboratory by
personnel blinded to the enzyme results and patient information.
Specimen Collection
Blood was collected in tubes containing no anticoagulant,
allowed to clot, and centrifuged at 1000g for 10
minutes. The resulting serum aliquots were poured into freezer vials,
then frozen within 90 minutes and maintained at -70°C until
analysis. Blood was collected at the following time windows:
baseline, ranging between 0 and 10 minutes from the start of
thrombolytic therapy (mean±SD, 0.14±1.02 minutes;
median [25th, 75th percentiles], 0 [0, 0] minutes); 30 minutes,
which was defined as 12 to 60 minutes after beginning
thrombolytic therapy (34.3±8.03 and 32 [30, 37]
minutes); 90 minutes, defined as 62 to 135 minutes after
thrombolytic therapy (97.7±16 and 93 [89, 105
minutes]); and 3 hours, defined as 138 to 239 minutes after
thrombolytic therapy (175±26.8 and 175 [152, 195]
minutes). All 96 of the patients in this study had a specimen collected
within 10 minutes of acute angiography; this blood specimen is
subsequently referred to as the
"near-catheterization" sample. Specimens were
categorized according to these time windows; however, the exact time of
collection was recorded for all specimens and used to calculate
rates of release (slopes) and other time-dependent variables. For
myoglobin measurement, the near-catheterization and
baseline specimens were used for analysis. For the
analyses that included the established model,20
the other sampling times listed above were also used.
Myoglobin Measurement
All myoglobin measurements were performed with the
instrumentation and associated reagents available with the Stratus II
system (Dade International, Inc). This quantitative 10-minute assay
uses two monoclonal antibodies in a "sandwich" radial-partition
immunoassay format. The detection limit of this test is 2.2
µg/L, and the typical coefficient of variation is 5%. Other
characteristics of this assay have been defined
elsewhere.40
Myoglobin Variables
We performed analyses with the following four myoglobin
variables:
Ratio. The myoglobin value in the near-catheterization sample divided by the value in the baseline sample (Ratio=Near Catheterization/Baseline).
. The difference in myoglobin value between the
near-catheterization and the baseline samples (
=Near
Catheterization-Baseline).
Slope. The rate of myoglobin release from baseline to near catheterization (Slope=[Near Catheterization-Baseline]/Elapsed Time).
Near-catheterization value. The myoglobin concentration in the near-catheterization sample.
Clinical Variables
The age, sex, race, time from symptom onset to
thrombolytic therapy, time of first dye injection for
angiography, and ECG location of infarction were recorded for all
patients enrolled in TAMI-7. In addition, patients graded the intensity
of their infarction-related pain on a scale of 0 (no pain) to 10 at the
time of acute catheterization.
CK-MB Measurement
All reported CK-MB measurements were quantified with devices and
associated reagents available with the ICON CK-MB kit (Hybritech, Inc)
and were performed according to the manufacturer's instructions. This
two-site immunoassay, or mass assay, has a claimed detection limit of 2
ng/L; all values <2 ng/L were reported as 0 ng/L.
All analyses were performed in an enzymatic core laboratory by
personnel who were unaware of the treatment or patency status of the
patients.
Statistical Analysis
Continuous variables are presented as mean±SD and
medians with 25th and 75th percentiles. Discrete variables are
expressed as percentages. Only patients who had blood collected at
least twice before acute angiography were included in the
analysis. Logistic multiple regression was used to construct
predictive models for patency.41 The following models were
constructed: the myoglobin variables alone, selected clinical
variables, myoglobin and clinical variables combined, and
myoglobin combined with an established model that contains CK-MB slope,
time from chest pain onset to thrombolytic therapy, and
chest pain grade (from 0 to 10, with 0 being no pain) at
catheterization.20 A C-index, which
reflects the area under the ROC curve, was calculated for each model to
evaluate its ability to predict patency. In all analyses,
P<.05 was considered significant. All statistics and plots
were generated using S-Plus 3.3 software (Statistical Sciences,
Inc).
| Results |
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The discriminating abilities of the ratio,
, slope, and
near-catheterization myoglobin variables to predict
patency in the infarct-related artery are indicated in Table 2
. The near-catherization variable,
which represented a single myoglobin measurement,
demonstrated the best overall performance and was used for all
subsequent analyses. For the near-catherization myoglobin
variable alone, logistic regression model output for TIMI grade 3
flow ranged from 0.21 to 0.68 (0.28/0.44/0.68, 25th
percentile/median/75th percentile) versus a range of 0.27 to 0.68
(0.49/0.68/0.68) for TIMI grade 0, 1, or 2 flow. When the TIMI 2 or 3
patency group was considered successful reperfusion, model output
ranged from 0.11 to 0.68 (0.11/0.11/0.27), whereas the TIMI 0 or 1
group ranged from 0.11 to 0.62 (0.21/0.46/0.56).
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Table 3
displays the results for all
patients having measurements of myoglobin in the near-catherization
sample, graded chest pain at catheterization, and time
from chest pain to thrombolytic therapy variables
as well as the results from combining these variables. Myoglobin
measurement in the near-catherization sample contributed significantly
to the ability of the model to discriminate patency both alone and in
combination with the other variables. The C-index values for the
combined model were .82 and .71 for the discrimination of TIMI grade 2
or 3 flow versus grade 0 or 1 flow and TIMI grade 3 versus grade 0 or 2
flow, respectively.
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Fig 1
(A and B) displays the distribution
of patient data from the logistic regression model combining the
near-catherization myoglobin level and the clinical variables of
time from chest pain to thrombolytic therapy and chest
pain graded from 0 to 10. In Fig 1A
, patency classified as TIMI 3 flow
showed model output results that were 0.31/0.42/0.64 (25th
percentile/median/75th percentile) and 0.52/0.66/0.72 for TIMI 0, 1, or
2. For Fig 1B
, TIMI 2 or 3 model output values were 0.06/0.11/0.21,
whereas the values were 0.31/0.40/0.58 for TIMI 0 or 1. Fig 1C
and 1D
show the distribution of model outputs for combining myoglobin in the
near-catherization sample with the established model, which included
CK-MB slope from baseline to the near-catherization time and clinical
variables of time from chest pain to thrombolytic
therapy and chest pain graded from 0 to 10. Fig 1C
model outputs were
0.22/0.35/0.62 for TIMI 3 flow and 0.56/0.63/0.70 for TIMI 0, 1, or 2
flow. For Fig 1D
, the model output values were 0.04/0.08/0.17 for TIMI
2 or 3 flow and 0.33/0.44/0.78 for TIMI 0-1 flow.
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Fig 2
displays the ROC curve for the plot
displayed in Fig 1D
. By standard ROC curve interpretation, the model
output of 0.24 indicated in both Fig 1D
and Fig 2
would be considered
the optimum decision limit if the consequences of false-negative
results (predicting the artery is open when it is actually closed) and
false-positive results (predicting the artery is closed when it is
actually open) were equal. At this example of a decision limit, 18 of
the 71 open-artery patients and 5 of the 25 closed-artery patients
(24% overall) would have been misclassified. Positions on the ROC
curve corresponding to higher sensitivity (model output of 0.10) and
higher specificity (model output of 0.40) are also indicated in both
Fig 2
and Fig 1D
. At the output value of 0.1, 39 of the 71 open-artery
patients and 3 of the 25 closed-artery patients would have been
misclassified (43.7% overall); at an output of 0.4, 14 of the 71
open-artery patients and 15 of the 25 closed-artery patients would have
been misclassified (30.2% overall).
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Table 4
shows the
performance of a model that combined near-catherization
myoglobin with an established model that included clinical
variables and CK-MB slope measures.20 The contribution
of near-catherization myoglobin to this combined model was significant,
having a
2 of 4.04 (P=.044). When the
28 patients having TIMI 1 and 2 flow were considered nonexistent, a
C-index of .93 resulted for the near-catherization myoglobin sample
combined with the established model; the contribution of myoglobin
remained significant (
2=5.19;
P<.023).
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| Discussion |
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Recent reports have indicated that TIMI grade 3 blood flow
results in improved patient outcomes compared with TIMI grade 2
flow.38 The improved survival of patients with TIMI grade
3 flow provides indirect evidence that TIMI grade 2 flow
represents an intermediate point between grade 0 or 1 flow and
grade 3 flow.38 39 For this reason, we examined the data
considering successful reperfusion both as TIMI grade 3 flow only and
as the original TAMI-7 end point of TIMI grade 2 or 3
flow.37 As shown in Table 2
, the C-index values for the
more rigorous definition of TIMI grade 3 flow alone were less
satisfactory, and thus discriminating TIMI grade 3 from TIMI grade 0 or
2 may be problematic for clinical use, even with the
approach presented here.
Among the various myoglobin variables examined, the single value collected between 60 and 150 minutes after initiating thrombolytic therapy had the best performance for indicating successful reperfusion. This single-sample strategy also represents the most convenient and least costly alternative. The near-catherization myoglobin sample alone and combined strategies were compared using the C-index, which directly corresponds to the area under the ROC curve. When tests or strategies are compared, those having the largest C-index (approaching unity) demonstrate the best diagnostic performance. The C-index values for the near-catheterization myoglobin sample alone were .78 and .73 for the prediction of TIMI grade 2 or 3 versus grade 0 or 1 flow and TIMI grade 3 versus grade 0, 1, or 2 flow, respectively. All other strategies included more than one myoglobin level; these additional measurements did not contribute substantial additional prognostic information and would be more expensive.
Selected clinical variables by themselves have been reported to show significant ability to discriminate between patients with TIMI grade 0 or 1 flow and those with grade 2 or 3 coronary flow; however, these indicators are unreliable for routine clinical use.16 We found that clinical variables, including chest pain graded from 0 to 10 at catheterization and time from symptom onset to thrombolytic therapy, achieved significance for indicating reperfusion. These clinical variables added to the performance of the near-catheterization myoglobin sample, as shown by the respective C-index values of .82 for TIMI grade 2 or 3 versus 0 or 1 flow and .71 for TIMI grade 3 versus grade 0, 1, or 2 flow.
Obtaining a myoglobin measurement significantly contributed to an established model that included serial CK-MB measurements and clinical variables.20 In the present study, the combined model that included the near-catheterization myoglobin value, CK-MB slope, and clinical variables had the largest C-index values for indicating successful reperfusion: .88 for TIMI grade 2 or 3 blood flow (versus grade 0 or 1 flow) and .74 for TIMI grade 3 flow (versus grade 0, 1, or 2 flow).
The ROC curve displayed in Fig 2
indicates three examples of
decision limits. If the consequences of a false-positive result
(predicting the artery is closed when it is actually open) or
false-negative result (predicting that the artery is open when it is
closed) are equal, then the optimum decision limit would be a model
output of 0.24;
24% of patients would have been misclassified at
this decision limit. Use of the other decision limits indicated in Fig 2
will either improve sensitivity at the expense of specificity or
improve specificity at the expense of sensitivity. For example, when
model output is changed from 0.24 to 0.1, the number of false negatives
decreased by 2 from 5 to 3 (40% improvement); however, false-positive
results increased by 21 from 18 to 39 (117%). When model output is
changed from 0.24 to 0.4, the number of false positives decreased by 4
from 18 to 14 (22% improvement); on the other hand, false-negative
results increased by 10 from 5 to 15 (200%). Clearly there is a need
to test any potential decision limits derived from the present
study in an appropriately designed prospective trial.
Although combining near-catheterization myoglobin samples, CK-MB, and clinical variables yielded a C-index of .88, the model will not accurately predict reperfusion status in all patients. This may be unavoidable for at least three physiologically based reasons. First, strategies that use biochemical markers are based on differences in the washout phenomenon that occurs after patency has been reestablished.42 The washout model often used to characterize biochemical markers showing promise for the assessment of patency is acute angioplasty. However, this model may not rigorously simulate the washout phenomenon that occurs after thrombolytic therapy, because angioplasty restores patency abruptly, resulting in dramatic increases in the biochemical markers.43 In contrast, the restoration of patency after thrombolytic therapy is a more dynamic process in which many patients have repeated opening and closing of the infarct-related artery in a stuttering pattern. Intermittent patency is probably caused by alterations in coagulation factors, platelet function, or other potentiating factors that affect procoagulant activity and contractility of coronary arterial muscle, which could blunt the washout of biochemical markers. Second, individual patient variables such as extent of infarction, collateral flow to the infarcted area, and blood pressure may influence noninvasive strategies for assessing patency. A third issue involves the use of angiography to adjudicate patency. Although it is the "gold standard" for evaluating coronary patency, angiography cannot show how long the measured perfusion status has existed in the infarct-related artery, which would influence washout. Thus, some discrepancy must be expected because of the dynamic physiological nature of patency restoration after thrombolytic therapy and the uncertainties in angiographic measurement.
Limitations
This study included 96 patients, which must be considered a
relatively small sample. The C-index values resulted from multiple
comparisons and may be lower in actual practice. Thus, these data must
be considered a "learning" data set that should be validated
prospectively.
Although the state-of-the-art mass assay used for CK-MB measurement in the present study demonstrates good correlation with other CK-MB tests, we have also shown that results of CK-MB curves can show significant differences despite good agreement.44 This issue, which may be true for myoglobin as well, indicates that the models developed are valid only for the assays used.
The combined model used to predict patency includes data from both the laboratory and clinical areas. For effective use, facile means of combining these data must be developed with future technology.
The present study shows that a single myoglobin measurement obtained between 60 and 150 minutes after thrombolytic therapy adds significantly to a model that includes CK-MB levels and clinical variables. The high C-index for this strategy suggests that it may provide an important clinical tool to assess patency after thrombolytic therapy.
| Selected Abbreviations and Acronyms |
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| Acknowledgments |
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Received December 16, 1996; revision received April 14, 1997; accepted April 18, 1997.
| References |
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