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Circulation. 1999;99:751-756

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(Circulation. 1999;99:751-756.)
© 1999 American Heart Association, Inc.


Clinical Investigation and Reports

Automated Heparin-Delivery System to Control Activated Partial Thromboplastin Time

Evaluation in Normal Volunteers

Christopher P. Cannon, MD; Jasper Dingemanse, PhD; Cornelis H. Kleinbloesem, PhD; Thomas Jannett, PhD; Kenneth M. Curry, BS; Christian P. Valcke, PhD

From the Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (C.P.C.); Clin-Pharma Research Ltd, Birsfelden, Switzerland (J.D., C.H.K.); University of Alabama, Birmingham, Ala (T.J.); and Gensia Automedics, Inc, San Diego, Calif (K.C., C.P.V.).

Correspondence to Christopher P. Cannon, MD, Cardiovascular Division, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115. E-mail ccannon{at}rics.bwh.harvard.edu


*    Abstract
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*Abstract
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down arrowResults
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Background—Unfractionated heparin is used widely; however, control of the level of anticoagulation remains its greatest problem, with fewer than 35% of patients having activated partial thromboplastin times (aPTTs) within a range of 55 to 85 seconds in recent trials.

Methods and Results—We developed and tested a prototype of an automated heparin control system (AutoHep) in which a computer-based titration algorithm adjusted the heparin infusion to reach a target aPTT. In 1 study, 12 healthy male subjects received an intravenous infusion of heparin with the rate determined by AutoHep and were randomized to receive an initial bolus or no bolus of heparin preceding the infusion. A second study evaluated the automated blood sampling system in 12 subjects. Of the 344 end-point aPTT measurements, 78% were within ±10 seconds of the target (prespecified primary end point), and 89% were within a ±15-second range. The time to achieve a target aPTT was 93 minutes without and 150 minutes with an initial heparin bolus. The total percentage of time within the target range ±15 seconds was 46 of 48 hours (96%). The automatic blood sampling system successfully obtained 96% of all scheduled samples.

Conclusions—These results suggest that the AutoHep system has the potential to significantly improve aPTT control of intravenous heparin compared with current clinical practice.


Key Words: heparin • coagulation • anticoagulants


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Unfractionated heparin therapy is used in the care of >4 million patients annually worldwide with arterial and venous thromboembolic disease states. Numerous studies have shown that the level of systemic anticoagulation is a major determinant of clinical outcome,1 2 3 leading to the use of activated partial thromboplastin time (aPTT) to monitor the anticoagulant response of heparin. Because of the complex pharmacokinetics and pharmacodynamics of heparin, wide patient variability in anticoagulant response, and time delays between obtaining the blood sample and reporting aPTT results,4 it is difficult to establish and maintain the therapeutic level of anticoagulation for each patient. Despite numerous efforts to improve the delivery of heparin, including heparin administration nomograms,5 use of bedside aPTT devices,4 and use of weight-adjusted6 and computer-based algorithms,7 recent trials have achieved only 30% to 35% of aPTTs that were within a 30-second target range.8 9 In an attempt to improve heparin control, we developed and tested a prototype of the AutoHep system, which automatically acquires a venous blood sample, performs an aPTT measurement, and adjusts the heparin infusion rate to achieve an operator-selected aPTT target.


*    Methods
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up arrowAbstract
up arrowIntroduction
*Methods
down arrowResults
down arrowDiscussion
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Heparin Control Study
After Ethics Committee approval and each subjects' written informed consent were obtained, 12 healthy male volunteers (age, 20 to 49 years) were randomly assigned to 1 of 2 treatment groups: automated heparin system infusion after an initial bolus of 50 U/kg IV heparin (bolus group) or infusion without a loading dose of heparin (no bolus). Two intravenous catheters were placed: 1 connected to the infusion pump (IMED PC-1) for administration of the heparin solution (50 U/mL, Elkins-Sinn), and the other in the contralateral arm for collection of blood samples, with a constant saline infusion to maintain catheter patency. aPTT measurements were performed with a calibrated point-of-care instrument (Boehringer Mannheim CoaguChek Plus).4 Heparin infusion continued for 48 hours. The system targeted an aPTT of 1.5 times the baseline value for 40 hours and 2.0 times the baseline for the final 8 hours.

Safety features of the system included audible and visible alerts or alarms for problems with either the intravenous pumps or the control algorithm (eg, air in intravenous line, intravenous catheter occlusion, or aPTT measurement outside the expected range). Heparin delivery continued if there were "alert" messages but was automatically stopped by the device if an alarm occurred. The system was programmed so that the maximum instantaneous heparin infusion rate was <5000 U/h and maximum hourly cumulative heparin dose was <2000 U to avoid any potential "overdosing" of heparin.

Control Algorithm
The initial infusion calculations were based on a pharmacodynamic model relating the aPTT response to drug infusion. The aPTT response (R) to heparin is described as R=log aPTT-log aPTTbaseline, which may be expressed as aPTT=10RaPTTbaseline. The change in log APTT is proportional to the heparin concentration (H). The rate of change in heparin concentration is as follows:

where {lambda} is the elimination rate constant, Vm and Km are parameters reflecting the saturable mechanism of elimination of heparin, u is the heparin infusion rate, and Vd is the apparent volume of distribution (approximately equal to the blood volume). Because R=mH, the time rate of change of the response may be written as follows:

where S=m/Vd. For the pharmacodynamic model, the parameterization vector ({theta}) consists of the following:

The model was initialized on the basis of known data from population analysis.10 As the infusion progressed and aPTT measurements became available, the general model was adjusted to the particular subject response. Adjustments were accomplished by use of a Bayesian optimization scheme. In this method, a new parameter estimate is calculated by weighing the confidence in the aPTT measurement against the confidence in the current estimate of the model parameters. Bayesian estimation is especially useful in situations in which model parameters are estimated on the basis of sparse measurements of patient response.11 12 13 Furthermore, the algorithm determined the next sample time on the basis of the uncertainty in the estimated aPTT and the desired precision of control. In this prototype, the personal computer (Compaq) prompted the investigator to obtain an aPTT measurement, and the aPTT values were manually entered into the computer.

Blood samples for "end-point" aPTTs were drawn at protocol-specified intervals (0, 20, and 40 minutes; 1, 3, and 6 hours; every 3 hours thereafter, except at 27 and 33 hours; and 30 minutes and 1, 2, and 4 hours after infusion for a total of 22 samples over 52 hours) for replicate aPTT measurements to establish system performance. None of the protocol-scheduled aPTT measurements was used for feedback purposes.

Blood Sampling Study
After Ethics Committee approval and each subjects' written informed consent were obtained, a second group of 12 normal volunteers (50 to 60 years of age) had a single venous catheter placed and received heparin for 60 hours with infusion rates based on a standard nomogram. In the prototype, a computer-controlled sampling pump adjusts the blood withdrawal rate on the basis of pressure measurements derived from a strain beam on the sample tubing. A pneumatic tourniquet is automatically inflated during the sample draw. Control of a saline pump allows flushing of the heparin before sample withdrawal and flushing of the blood from the sample line at the end of the sample cycle. At each of the 14 scheduled time points, replicate whole-blood aPTT measurements were obtained from these device-withdrawn samples and from manually obtained venous samples from the contralateral arm.

End Points
Data samples considered evaluable were those acquired during heparin infusion and after the first transition from baseline (1 hour) or washout of bolus administration (3 hours). Thus, of 525 end-point aPTTs, 181 were not included in the evaluable data set because 13 were at baseline, 72 were during the postbolus washout, and 96 were after heparin infusion. The primary performance variables were the percentage of end-point aPTT values in the target range (target level, ±10, ±15, or ±20 seconds). Performance of the blood sampling device was the percentage of successfully completed sample cycles. If a sample cycle failed, the system could retry once. Comparisons of continuous data were made with Student's t test. Data are presented as mean±SD and as median with range.


*    Results
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*Results
down arrowDiscussion
down arrowReferences
 
Heparin Control Study
An example of a single patient test is shown in Figure 1Down, which gives the measured and pharmacodynamically modeled aPTT values and the heparin infusion rate. Although total dose and mean infusion rate of heparin appeared to be lower in the nonbolus group (Table 1Down), no statistically significant differences were detected. For nonbolus subjects, the algorithm delivered an initial rapid infusion of heparin (average, 644 U over 20 minutes) to quickly achieve the selected target. The average number of aPTT measurements requested by the control algorithm over the 48-hour period was {approx}9; they were evenly distributed over the infusion period.



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Figure 1. aPTT response of subject in bolus group to feedback controlled heparin. Infusion rate (lower solid line) shows adjustments during course of study. Pharmacodynamic model fit (upper solid line) is based on measured aPTT data (squares).


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Table 1. Heparin Dose and Infusion Data

Table 2Down demonstrates that the target aPTT values of 1.5 and 2.0 times control were achieved in both the bolus and nonbolus groups. Table 3Down summarizes the percent aPTT samples within ±10, ±15, and ±20 seconds of the selected aPTT target. For all subjects, 78% of measurements were within 10 seconds, 89% were within 15 seconds, and 94% were within 20 seconds of the target.


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Table 2. Summary of aPTT Target Data


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Table 3. Performance Evaluated by Percent aPTT Samples Within Target Range

By use of the pharmacodynamic model–estimated aPTT trajectories, the average time to target for bolus subjects was 150 minutes (range, 93 to 275 minutes), whereas for nonbolus subjects, this interval was reduced to 93 minutes (range, 15 to 190 minutes). Thus, by the 6-hour time point, 100% of patients were within the target range (Figure 2Down, top). These results can be compared with the data on aPTT control in the intravenous heparin group of the ESSENCE trial (Figure 2Down, bottom).



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Figure 2. Top, Distribution of aPTT measurements over study duration. Target range is ±15 seconds of selected target value. Bottom, Distribution of aPTT measurements in ESSENCE study. (Data from Cohen M, et al. N Engl J Med. 1997;337:447–452.)

The average deviation from target for all scheduled time points was usually <5 seconds and is graphically presented in Figure 3Down for bolus and nonbolus subjects, respectively. During the period after the initial washout, only 9 of 326 aPTT values (3.5%) exceeded 80 seconds, and only 4 (1.2%) exceeded 90 seconds. The replicate whole-blood aPTT assays yielded very consistent results, with r=0.98 and a slope of 0.986.



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Figure 3. Average deviation of protocol schedule aPTT measurements from selected target for bolus group (top, scale to 100 seconds) and nonbolus group (bottom, scale to 40 seconds). Shaded area indicates time interval for transition from bolus or baseline to target aPTT. Bars show mean with SD.

Pharmacodynamic Analysis
Table 4Down shows that the initial pharmacodynamic model parameters10 and those for the subjects in this study were similar. The performance analysis based on the pharmacodynamic modeling showed that patients remained within a ±15-second range 98% of the time (Table 5Down). No adverse events were reported as device related, and no bleeding events occurred.


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Table 4. Pharmacodynamic Model Parameters


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Table 5. Model-Estimated aPTT: Percentage of Time Within Target Range

Blood Sampling Study
In the blood sampling study, the system successfully withdrew 161 of 168 samples (96%). All 7 of the unsuccessful sample cycles occurred when the subjects were not receiving intravenous heparin. Coefficients of variation for automatic (5.5%) and manually (5.1%) obtained aPTT measurements showed no difference (P=0.4). Correlation of aPTT values (r=0.95) from automatic and manual sampling methods also showed excellent agreement. One subject in this study (which evaluated the blood sampling device and used standard nomogram-titrated heparin) developed an isolated heme-positive stool.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowReferences
 
Although heparin has been used for >50 years in the management of patients with acute coronary syndromes and venous thromboembolism, control of the anticoagulation level has been its greatest challenge. Numerous studies have shown that when aPTT values are above the target range, bleeding is more frequent, as are, surprisingly, recurrent infarction and mortality.1 2 3 If aPTT values are too low, recurrent thrombotic events are more common.1 2 3 Accordingly, numerous attempts to improve control of the anticoagulation level with heparin, including the use of standardized nomograms,5 weight-adjusted dosing,6 bedside aPTT monitoring,4 and all 3 together,9 have failed to make a major improvement (Figure 4Down). Only 30% to 35% of patients were in the target 30-second range a full 24 hours after titration of heparin in TIMI 9B8 and in a randomized trial of both bedside monitoring and weight-adjusted heparin dosing.9 We also analyzed aPTT values in 209 patients in TIMI IIIB who were found after randomization to have normal coronary arteries, thus approximating the present study population: Only 35% of aPTT values were within the 30-second target of 45 to 75 seconds.



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Figure 4. Percentage of patients with aPTT in target range using a standardized nomogram in recent clinical trials. (Data from Cannon CP, et al. J Am Coll Cardiol. 1994;24:1602–1610; Lee LV, et al. Am J Cardiol. 1995;75:7–13; Topol EJ, et al. Circulation. 1994;89:1557–1566; van den Bos AA, et al. Circulation. 1993;88:2058–2066.) MI indicates myocardial infarction.

Automated Heparin Control System
In this study, the prototype automated heparin control system achieved 89% of aPTT values within a 30-second range. This corresponds to subjects being within the target range for 46 hours of the 48-hour treatment period. The target aPTT was achieved in only 90 to 150 minutes both initially and when the new target was selected. This was achieved by the computerized algorithm that required on average 9 aPTT samples over the 48-hour period. The automated venous blood sampling succeeded in acquiring blood sample in 96% of the attempts overall and in 100% of attempts when the subjects were receiving heparin.

Subjects receiving an initial bolus of heparin appeared to have better aPTT control during the infusion period (Figure 3Up). One reason may have been that during washout of the bolus dose, with the large excursion in anticoagulant status, the aPTT values may have allowed better identification of the pharmacodynamic model in the individual subject, thus resulting in improved overall performance.

Ultimately, the AutoHep system will automatically acquire blood samples for aPTT assays and calculate the optimal heparin delivery to achieve an operator-specified target. The time required by nurses and physicians would be reduced to the initial setup and response to any alarms (which were infrequent [<5%] in this initial study). The costs of the device and cartridges are planned to be equivalent to current costs of laboratory-based aPTT monitoring of unfractionated heparin or of low-molecular-weight heparin. With further refinements in the device and inclusion of patient demographic factors in the configuration of the control algorithm, the performance of the system may be improved further. Most importantly, however, a very stable anticoagulant effect from unfractionated heparin, a very inexpensive medication, can be achieved, which may translate into improved clinical outcomes. This hypothesis needs to be tested by use of an integrated version of the AutoHep system in future clinical trials.

In conclusion, this initial testing of the AutoHep system achieved nearly 90% of aPTTs within a target range of ±15 seconds, which can be compared with current clinical practice in which typically only 30% to 40% of aPTTs are within range. If these results can be duplicated with the integrated device in patients, it will represent a major advancement in the use of heparin.


*    Footnotes
 
Dr Jannett has been a consultant for and received research funding from Gensia Automedics.

Received September 24, 1998; revision received October 20, 1998; accepted October 26, 1998.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 
1. Hirsh J, Fuster V. Guide to anticoagulation therapy, 1: heparin. Circulation. 1994;89:1449–1468.[Free Full Text]

2. Granger CB, Hirsh J, Califf RM, Col J, White HD, Betriu A, Woodlief LH, Lee KL, Bovill EG, Simes J, Topol EJ, for the GUSTO-I Investigators. Activated partial thromboplastin time and outcome after thrombolytic therapy for acute myocardial infarction: results from the GUSTO-I trial. Circulation. 1996;93:870–878.[Abstract/Free Full Text]

3. Cannon CP, Antman EA. Heparin and low molecular weight heparin in acute coronary syndromes and angioplasty. In: Crawford MH, ed. Cardiology Clinics: Annual of Drug Therapy. Philadelphia, Pa: WB Saunders Co; 1997:105–119.

4. Becker RC, Cyr J, Corrao JM, Ball SP. Bedside coagulation monitoring in heparin-treated patients with active thromboembolic disease: a coronary care unit experience. Am Heart J. 1994;128:719–723.[Medline] [Order article via Infotrieve]

5. Flaker GC, Bartolozzi J, Davis V, McCabe CH, Cannon CP. Use of a standardized nomogram to achieve therapeutic anticoagulation after thrombolytic therapy in myocardial infarction. Arch Intern Med. 1994;154:1492–1496.[Abstract/Free Full Text]

6. Raschke RA, Reilly BM, Guidry JR, Fontana JR, Srinivas S. The weight-based heparin dosing nomogram compared with a "standard care" nomogram. Ann Intern Med. 1993;119:874–881.[Abstract/Free Full Text]

7. Mungall DR, Anbe D, Forrester PL, Luoma T, Genovese R, Mahan J, Le Blanc S, Penney JB. A prospective randomized comparison of the accuracy of computer-assisted versus GUSTO nomogram-directed heparin therapy. Clin Pharmacol Ther. 1994;55:591–596.[Medline] [Order article via Infotrieve]

8. Antman EM, for the TIMI 9B Investigators. Hirudin in acute myocardial infarction: Thrombolysis and Thrombin Inhibition in Myocardial Infarction (TIMI) 9B trial. Circulation. 1996;94:911–921.[Abstract/Free Full Text]

9. Becker RC, Borzak S, Held C, Ball SP, Voyce SJ, Jesse RL, Hendel RC, Lee V, Spencer FA, Ma Y, Hurley TG, Hebert JR. A randomized trial of weight-adjusted heparin dosing and bedside coagulation monitoring in patient with thrombotic disorders. Circulation 1997;96(suppl I):I-386. Abstract.

10. St. Peter JV, Plachetka J, Halstenson CE, Swan SK, Walenga JM. Heparin: aPTT/ACT PK/PD in normal human subjects. Presented at the American Society of Clinical Pharmacological Therapy, 96th Annual Meeting; March 1995; San Diego, Calif.

11. Sheiner LB, Beal SL. Bayesian individualization of pharmacokinetics: simple implementation and comparison of non-Bayesian methods. J Pharmacol Sci. 1982;71:1344–1348.[Medline] [Order article via Infotrieve]

12. Jannett TC, Sanders PW, Shanklin N, Wise MG. Adaptive control of anticoagulation during hemodialysis. Kidney Int. 1994;45:912–915.[Medline] [Order article via Infotrieve]

13. Mungall D, Floyd R. Bayesian forecasting of APTT response to continuously infused heparin with and without warfarin administration. J Clin Pharmacol. 1989;29:1043–1047.We developed and tested a prototype of an automated heparin control system (AutoHep) in which a computer-based titration algorithm adjusted the heparin infusion to reach a target activated partial thromboplastin time (aPTT). Twelve healthy male subjects received intravenous infusion of heparin with the rate determined by AutoHep. Of the 344 end-point aPTT measurements, 78% were within ±10 seconds of the target (prespecified primary end point), and 89% were within a ±15-second range. These results suggest that the AutoHep system has the potential to significantly improve aPTT control of intravenous heparin compared with current clinical practice.[Medline] [Order article via Infotrieve]





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