The ESC Congress for the first time is having two sessions
dedicated to clinical registries in order to highlight the growing number of
innovative registries, the data they collect and the conclusions that can be
drawn from this data. The sessions focus on “Risk and Treatment Reality” and
“Interventions and Devices” and showcase registries from France, Italy and
more.
The prominent treatment of the registry data trials at ESC
Congress 2011 is a testament to their growing importance. Registry research is
unique because it uses real-world data. The patients included in the registry
are not chosen because they have limited comorbidities or fit a certain
profile, like in clinical trials, but are included simply because they are a
patient at a participating hospital. What this means is that we can see what
the effects of certain treatments are on patients who may never qualify for a
clinical trial. The results are a better understanding of adverse outcomes and
better treatment protocols. The ACC frequently requests for FDA to require new
drug and device manufacturers to conduct post-market approval studies through
registries to ensure that the new drug/device doesn’t have any adverse events
not caught in the clinical trials.
Of course, that’s not to say that registries aren’t without
limitations. Currently, it’s challenging to connect care between the outpatient
and inpatient settings because the U.S. will not implement a unique patient
identifier system that could connect a patient’s progress in the hospital to
the ambulatory setting and, in some cases, back to the hospital. We’ll need to
find a way to work around this. With the growing emphasis on reducing
readmissions, hospitals will need to have a better understanding of why and
which types of patients are most frequently readmitted. Registries should be
able to help fill this gap.
ACC’s registries suite, NCDR (National Cardiovascular Data
Registry), has experienced a landmark year in terms of the science researchers
have produced. The following studies have been some of the most interesting:
- Non–Evidence-Based ICD Implantations in the
United States (JAMA, 305;1). Researchers found that ICD
implantations were not in accordance with practice guidelines in 20+% of
patients, most commonly because of newly diagnosed heart failure or an MI
within 40 days.
- Patterns and Intensity of Medical Therapy
in Patients Undergoing PCI (JAMA,
305;18). The authors conclude that optimal medical therapy is underutilized in
patients with stable CAD.
- Association of Door-In to Door-Out Time
with Reperfusion Delays and Outcomes Among Patients for Primary PCI (JAMA,
305;24). Study showing improvement is needed in the treatment of heart attack
patients who require transfer to another hospital for primary PCI).
- Appropriateness of Percutaneous Coronary
Intervention (JAMA, 306;1): This study concluded that although the
majority of patients are appropriately selected for PCI procedures, there are
opportunities for improvement, especially in the non-emergency setting.
- Hospital Variability in the Rate of Finding
Obstructive Coronary Artery Disease at Elective, Diagnostic Coronary
Angiography (JACC, 58;8). Former ACC Prez Pam Douglas, MACC, et al., find
that hospitals vary greatly when it comes to the rate at which obstructive CAD
is found in patients without known heart disease undergoing elective diagnostic
coronary angiography or catheterization.
These are just five of the hundreds of studies using NCDR
data that have been published over the registries’ 14-year history. We may not
always like what the studies find, but it’s the measurement that pushes
cardiology as a profession to move forward and to find ways to more
consistently implement best practices and guidelines. By measuring patient care
in an appropriate and actionable way, registries bring to light the invaluable
improvements being made by physicians and care teams.
I commend ESC for bringing registry data to the forefront of
their meeting. I think we’ll see more and more about registry data in the
future, as it addresses some of the gaps left by clinical trial data.