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Heparin: Improving Treatment and Reducing Risk of ... - CareFusion

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HEPARIN SAFETY<br />

changes its thromboplastin reagent <strong>and</strong> can go in either direction.<br />

Failure to account for such change by updating heparin<br />

dosing schemes would have resulted in systematic underdosing<br />

<strong>of</strong> the vast majority <strong>of</strong> patients. For this reason, it is important<br />

that each institution adjust heparin dosing guidelines as necessary<br />

to the aPTT assay reagent currently in use.<br />

patients with lower UFH infusion rates can lead to underestimation<br />

<strong>of</strong> UFH anticoagulation. The presence <strong>of</strong> a heparin<br />

effect may not be appreciated because the ACT test is not<br />

designed to measure effects in the lower target range. Thus,<br />

while POC testing devices provide rapid results, such devices<br />

may sacrifice accuracy <strong>and</strong> precision.<br />

Pre-analytical Variables<br />

Pre-analytical variables that adversely affect aPTT test results<br />

include poor phlebotomy technique, incorrect or improperly<br />

filled blood collection tubes, delays in sample testing, temperature,<br />

<strong>and</strong> inadequate sample centrifugation prior to testing.<br />

Some drugs <strong>and</strong> disease states can also affect test results (Table<br />

2). Increased levels <strong>of</strong> fibrinogen <strong>and</strong> factor VIII (both acute<br />

phase reactants) may also reduce the aPTT result, leading to<br />

“heparin resistance.”<br />

Impact <strong>of</strong> Bolus Dosing<br />

Depending on the size <strong>of</strong> a heparin bolus, it can affect aPTT values<br />

for more than 6 hours. For example, 4 hours after a 5,000-<br />

unit bolus the aPTT result may suggest adequate heparinization,<br />

but a subsequent aPTT result may show that the continuous<br />

infusion is subtherapeutic. Earlier determination <strong>of</strong> aPTT value<br />

may be <strong>of</strong> benefit to determine if a rate increase should occur if<br />

the value is low.<br />

Point-<strong>of</strong>-Care (POC) Testing<br />

Test results will vary among POC devices <strong>and</strong> typically do not<br />

match laboratory aPTT results, because <strong>of</strong> differences in the<br />

sample type, clot-detection method, <strong>and</strong> incubation period.<br />

There are also differences between ACT manufacturers <strong>and</strong> cartridge<br />

types. A different ACT test may be used depending on the<br />

desired degree <strong>of</strong> heparin effect is being followed, which can<br />

vary between methods. Use <strong>of</strong> high-dose ACT cartridges in<br />

• Preanalytical<br />

• Poor phlebotomy technique!!!!<br />

• Time <strong>and</strong> temperature (for UFH monitoring, sample should be tested<br />

within 2 hours <strong>of</strong> collection)<br />

• Centrifugation-platelet poor (300 reagent—Instrument combinations<br />

• No st<strong>and</strong>ardization <strong>of</strong> reagents (despite attempts)<br />

• Reagent variability<br />

• Phospholipid concentration<br />

• Activator type<br />

• Influences on test<br />

• Increases in factor levels-acute phase ( aPTT)<br />

• Decreases in factor levels ( aPTT)<br />

• Drug effect ( or aPTT)<br />

• Lupus anticoagulant (may aPTT)<br />

Table 2. aPTT Test Variables<br />

Anti-Xa monitoring <strong>of</strong> UFH treatment<br />

Most institutions that measure anti-Xa activity use either a clot<br />

based or a chromogenic method. While this test is more robust<br />

than the aPTT <strong>and</strong> may be less adversely affected by pre-analytical<br />

variables, test calibration variability <strong>and</strong> methodology differences<br />

can result in a wide range <strong>of</strong> anti-Xa levels reported,<br />

(CAP, 2008).<br />

Administration<br />

The most common type <strong>of</strong> heparin-related error is also the type<br />

most likely to be associated with patient harm—administration<br />

<strong>of</strong> an improper dose or quantity (Santell, 2008). Pooled data<br />

from 54 hospitals using smart IV pumps revealed that heparin<br />

was the number one drug associated with averted errors, i.e.,<br />

smart pump alerts that resulted in reprogramming. Some<br />

errors, if not averted, would have infused dosages 50- to 100-<br />

times above or below the pre-established drug-library<br />

limits.(Cardinal Health, 2008) Analysis <strong>of</strong> smart-pump data at a<br />

regional healthcare system showed that 93% <strong>of</strong> high-risk heparin<br />

errors averted by smart pump use occurred in non-criticalcare<br />

settings (Williams et al., 2006).<br />

A frequent, potentially dangerous practice involves administering<br />

bolus doses from continuous infusions, rather than<br />

preparing a loading dose or subsequent bolus dose in a separate<br />

container such as a syringe or mini-bag. Serious errors can also<br />

occur in calculating dosage changes from an initial loading dose<br />

in units/kg to continuous infusion in units/kg/hr or units/hr.<br />

Unnecessary variability in heparin<br />

concentrations, nomenclature <strong>and</strong> dosing<br />

units further increases opportunities<br />

for error. A review <strong>of</strong> smart-pump<br />

drug libraries in 207 hospitals identified<br />

14 different heparin concentrations<br />

being used in various facilities.<br />

<strong>Heparin</strong> nomenclature also varied<br />

widely, with 191 different namedescriptors<br />

(Bates et al., 2005). Data<br />

from a 54-hospital sample showed that<br />

48% <strong>of</strong> hospitals had st<strong>and</strong>ardized dosing<br />

units on units/kg/hr, 22% used only<br />

units/hr <strong>and</strong> 30% allowed either<br />

weight-based or non-weight-based<br />

dosing units. When both dosing units<br />

were available, there was a four-fold<br />

increase in smart pump alerts that led<br />

to infusion reprogramming, i.e., averted<br />

errors (Cardinal Health, 2008).<br />

To reduce opportunities for such<br />

22<br />

Patient Safety & Quality Healthcare ■ January/February 2009 www.psqh.com

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