Showing posts with label venous thromboembolism. Show all posts
Showing posts with label venous thromboembolism. Show all posts

Saturday, November 30, 2013

COAG, EU-PACT, and a tale of three trials: pharmacogenomic-guided warfarin dosing

This entry is the third part of a series on late-breaking clinical trials from the American Heart Association Scientific Sessions 2013. For a list of all reviewed trials, click here.

Summaries:
COAG: In the Clarification of Optimal Anticoagulation through Genetics (COAG) study [1], 1015 patients at sites throughout the US were randomized to an initial warfarin dosing strategy that incorporated both pharmacogenomic and clinical factors or clinical factors only. After 5 days, both arms were managed according to a standardized adjustment algorithm. At 4 weeks of follow-up, there was no difference in the primary outcome of INR time-in-therapeutic range (TTR) between the two groups (45.2% vs. 45.5% in the pharmacogenomic and clinically-guided group, respectively, p = 0.91). A difference was found only in the subgroup of self-identified black patients, where TTR was lower with the pharmacogenomic-guided strategy (35.2% vs. 43.5% with control, p = 0.01). No differences in thrombotic or bleeding events were observed.

EU-PACT trials: In a similarly designed study conducted by the European Pharmacogenetics of Anticoagulant Therapy (EU-PACT) group [2], 548 patients were randomized to a warfarin dosing strategy that used both pharmacogenomic and clinical factors or clinical factors only. After the first 5-7 days, patients were managed according to local standards of practice. At a follow-up of at least 10 weeks, no difference in the primary endpoint of TTR was observed between the two groups (61.6% vs. 60.2% in the pharmacogenomic and clinically-guided groups, respectively, p = 0.52). An improvement in TTR was observed with pharmacogenomic-guided dosing at 4 weeks (52.8% vs. 47.5% with control, p = 0.02), a pre-specified secondary endpoint of the study. No differences were observed in specific subgroups, nor were there any differences in clinical outcomes.

In a second trial conducted by the EU-PACT group [3], 455 patients were randomized to a dosing strategy comprised of both pharmacogenomic and clinical factors or usual care, which was defined as an initial dosing strategy of 10 mg, 5 mg, and 5 mg for days 1-3 among patients < 75 years of age and 5 mg daily for days 1-3 in patients > 75 years. After 5 days, patients were managed according to local standards of care. After a follow-up period of 12 weeks, the pharmacogenomic-guided strategy improved TTR by a mean 7% (67.4% vs. 60.3% with usual care, 95% CI 3.3-10.6, p < 0.001). The median time to reach therapeutic INR was 8 days shorter in the pharmacogenomic-guided group (21 days vs. 29 days with usual care, p < 0.001). No differences in clinical endpoints were observed.

Commentary:
Let me be first to admit that I missed the fact that there were three studies of pharmacogenomic-guided warfarin dosing strategies published simultaneously. The major headline from AHA13 was that this strategy did not confer significant improvements in the management of therapy, and I walked away thinking that was the end of the story. I even tweeted so. However, based on the findings of the third study, I think further discussion of these trials is warranted.

Note: For the sake of simplicity, I will refer to the EU-PACT study that compared pharmacogenomic plus clinical factors versus clinical factors alone as EU-PACT-1 and the study comparing pharmacogenomic plus clinical factors to usual care as EU-PACT-2.

First, the COAG and EU-PACT-1 trials were almost identical in design, with the main difference being their length of follow-up (4 weeks in COAG vs. a minimum of 10 weeks and goal of 12 weeks in EU-PACT-1) [1,2]. Both obtained genotypes for the major polymorphisms expected to influence warfarin management (i.e., CYP2C9 an VKORC1) and compared 5 days of an algorithm that combined this information with clinical features already known to impact warfarin dosing (intervention) versus an algorithm that used only clinical features (control). While this design was essential for determining whether the addition of genetic information would influence outcomes, one should be cautious not to interpret the control arm as representing the standard of care for most practices. As an example of how complex the control algorithm was, the following equation was used to determine the initial dose of warfarin in COAG:

Dose (in mg/day) = exp[0.613 – (0.0075 x age) + (0.156 if black race) + (0.108 if smokes) + (0.425 x body surface area) – (0.257 if on amiodarone) + (0.216 x target INR) + (0.0784 if indication for warfarin is DVT/PE)]

While these and other dosing calculations have been validated in smaller studies, I am not aware of any large robust clinical trials comparing them to usual care. Even so, they are not included in current practice guidelines and are therefore unlikely to be widely used.  Whether or not they have been validated, they certainly incorporate many of the features one should consider when managing warfarin therapy.  Given their inclusion in the dose determinations for these two studies, I am not surprised that the addition of genetic characteristics failed to have an incremental impact on TTR control in a study of only a few hundred patients.  I imagine many thousands of patients would be necessary to distinguish the impact of genetic characteristics on top of all of the other adjustments already included in the equation.

Although no differences in TTR were observed at 4 weeks in COAG, an improvement with the pharmacogenomic-guided dosing strategy was observed at this time interval in EU-PACT-1 (although the primary analysis was conducted at 12 weeks). The cause of this discrepancy is unclear but the poor performance of the pharmacogenomic-guided algorithm among blacks in COAG (40% of the study population) may have been a contributor.

The design of EU-PACT-2 represents a more accurate comparison of a pharmacogenomic-guided dosing strategy and usual care [3].  While some ambulatory care practices and inpatient consultation services may utilize equations similar to the ones highlighted above, the vast majority of patients receiving a diagnosis that warrants anticoagulation therapy are initiated on a fixed dose with subsequent adjustments for changes in INR. The specific dose selected often incorporates many of the features included in these dosing equations, but not in a formal sense. When compared to this usual care approach, EU-PACT-2 demonstrated that a strategy incorporating both pharmacogenomic and clinical factors improves TTR control.  Unfortunately, because an arm comprised of patients being managed using only clinical factors was not included in this trial, it is impossible to know the true incremental impact of genetic information on warfarin dosing.

Finally, all three trials were conducted mostly at large academic medical centers with access to specialist providers, including pharmacists specifically trained in the management of anticoagulation therapy.  Although the intervention was largely blinded for the first 5-7 days, the specialized care provided at these centers may have influenced the potential impact of the pharmacogenomic-guided strategy by the end of study follow-up at 4-12 weeks. What would have been more interesting to know is whether this strategy would have conferred improvements among patients managed by general care practitioners or those discharged from the hospital who were unable to follow up for INR management until 1-2 weeks later. Perhaps my practice environment has biased me, but I feel these latter scenarios are far more common.

Bottom line:
The addition of genetic information to an algorithm already incorporating clinical features known to influence warfarin dosing does not improve management at 12 weeks, although differences may be observed in certain subgroups or at earlier time points. On the other hand, an algorithm incorporating both genetic and clinical information significantly improves warfarin management when compared to usual care.


References
  1. Kimmel SE, French B, Kasner SE, Johnson JA, Anderson JL, Gage BF, et al. A Pharmacogenetic versus a Clinical Algorithm for Warfarin Dosing. N Engl J Med. 2013 Nov 19;
  2. Verhoef TI, Ragia G, de Boer A, Barallon R, Kolovou G, Kolovou V, et al. A Randomized Trial of Genotype-Guided Dosing of Acenocoumarol and Phenprocoumon. N Engl J Med. 2013 Nov 19;
  3. Pirmohamed M, Burnside G, Eriksson N, Jorgensen AL, Toh CH, Nicholson T, et al. A Randomized Trial of Genotype-Guided Dosing of Warfarin. N Engl J Med. 2013 Nov 19;

Saturday, December 31, 2011

No mortality benefit with enoxaparin in acutely ill medical patients... but do these patients resemble yours?

Cardiology blogs and news websites were buzzing earlier this week with the publication of the LIFENOX trial, where prophylaxis for venous thromboembolism (VTE) using enoxaparin (Lovenox®) failed to improve 30-day survival among acutely ill medical patients [1].  Enoxaparin is a low molecular weight heparin used for the prevention and management of several types of thrombotic disorders, including deep venous thrombosis (DVT) and pulmonary embolism (PE).

In the investigation conducted by Kakkar, et al, a once daily dose of enoxaparin 40 mg failed to improve the rate of death among hospitalized, acutely ill medical patients when compared to graduated compression stockings (GCS). While the incidence of all bleeding events was higher among patients randomized to enoxaparin, this was primarily driven by minor bleeding; no differences in major bleeding were observed.

While the results of LIFENOX seem pretty straightforward, I think it is important to highlight a few caveats when making applications to clinical practice. Here are a few limitations, some of which have already been noted by the authors of the trial:
  • The LIFENOX trial assessed mortality and not the prevention of DVTs, a benefit of enoxaparin already demonstrated in previous analyses; to say that enoxaparin is of no benefit in hospitalized patients is not supported by the results of this investigation.  
  • The trial was actually underpowered to detect a difference in mortality as a result of a lower-than-expected mortality rate among patients randomized to GCS alone.  In previous investigations (e.g., MEDENOX [2]) -- where a potential mortality benefit with enoxaparin was observed -- patients randomized to the placebo group received non-pharmacologic DVT prophylaxis according to site-specific standards of care. In LIFENOX, it was specified that patients not receiving enoxaparin wear GCS devices, which may have impacted the ability of the trial to detect a mortality difference between the two groups.
  • The pathophysiology of VTE among surgical and medical patients has traditionally been thought to result from similar processes (i.e., immobility, systemic inflammatory states induced by trauma or other illnesses); however, this may not be the case.  Even in previous analyses of acutely ill medical patients, the rates of confirmed PE as the cause of death is very low.  The authors of LIFENOX hypothesize that enoxaparin may actually reduce the risk of other events not captured by their investigation.
I think the key to interpreting LIFENOX is a comparison of its patient population with those typically admitted to inpatient cardiology services (or other hospitalized patient populations) here in the US.  LIFENOX enrolled patients at sites in Asia, Mexico, the Philippines, and Tunisia.  While there are probably some differences in the baseline risk of VTE between various ethnic groups, I think it is more beneficial to evaluate the non-genetic differences in VTE risk.

After looking at the baseline characteristics of patients enrolled in LIFENOX, I was interested in seeing how these patients compared to those currently admitted to the inpatient cardiology services at our institution. In LIFENOX, the mean body mass index (BMI) was about 23 kg/m2, which would place these patients in the normal BMI range. However, the mean BMI of the patients currently admitted to the cardiology services at our institution (n = 31) is 30.2 kg/m2, which would place our patient population in the obese category.  Given the known risk for VTE associated with obesity, this difference alone would place our patient population at a significantly higher risk than those enrolled in LIFENOX.

I also thought it would be interesting to look at the past medical histories of the patients admitted to our service in order to evaluate what co-morbid conditions might also contribute to their risks for VTE.  Since prophylaxis with enoxaparin may reduce the risk of a variety of thrombotic events among medically ill patients (as the authors note in their investigation), I thought it would be helpful to evaluate the incidence of risk factors for myocardial infarction and stroke, the two most common types of thrombosis among cardiology patients.  The following table highlights these results (n = 31):

Disease StatePrevalence
Coronary Artery Disease48%
Heart Failure60%
Hypertension56%
Hyperlipidemia32%
Diabetes Mellitus44%
Atrial Fibrillation16%
Previous Cancer32%


While the investigators of the LIFENOX trial only provide baseline characteristics for heart failure and active cancer (as well as history of VTE or coagulation disorders), it is pretty clear from these numbers that the population admitted to our service are at a much higher risk for thrombotic complications when compared to those enrolled in LIFENOX.  Using heart failure as one example, the incidence on our service is nearly double that of patients enrolled in LIFENOX (60% vs. 31.4%).

One of the risks of popular trials such as LIVENOX is that the results often become generalized to different patient populations.  The failure of enoxaparin to reduce mortality was quickly tweeted, re-tweeted, and tweeted again.  Unfortunately, the 140 character limit prevents tweeters from detailing the caveats and limitations of a trial alongside its headline results. As one example, a tweet from theheart.org said the following:
"Enoxaparin prophylaxis doesn't cut mortality in acute-care setting."
While I hope readers would click the tweet's included link and read more about the trial, I suspect many did not -- even then, few probably made it past the abstract.

So, while LIFENOX failed to demonstrate an improvement in all-cause mortality among acutely ill medical patients, I am not sure the results are very applicable to our practice (nor many cardiology practices here in the US), where patients are at increased risk for any number of thrombotic events, including DVT, PE, myocardial infarction, and stroke.  While I have no evidence to support it, I suspect -- based on the percentages listed above -- that pharmacologic prophylaxis for VTE is probably reducing the risk of other thrombotic complications in a significant number of our patients.

(As a point of clarification, we use subcutaneous unfractionated heparin rather than enoxaparin for VTE prophylaxis at our institution.)

References
  1. Kakkar AK, Cimminiello C, Bergmann JF, et al; LIFENOX Investigators. Low-molecular-weight heparin and mortality in acutely ill medical patients. N Engl J Med. 2011 Dec 29;365(26):2463-72.
  2. Samama MM, Cohen AT, Weisslinger N, et al. A comparison of enoxaparin with placebo for the prevention of venous thromboembolism in acutely ill medical patients. Prophylaxis in Medical Patients with Enoxaparin Study Group. N Engl J Med. 1999 Sep 9;341(11):793-800.