The evolution of a clinical database to evaluate the treatment of coronary artery disease.
BACKGROUND
The field of invasive cardiology has evolved rapidly since the initial use of catheters for treatment of coronary artery disease in the late 1970's.  The pace of this change coupled with the complexity of the clinical setting and proliferation of devices and drugs used for therapy have made it extremely difficult to construct and maintain a viable clinical database.


METHODS
Using a standard hardware and software system with the direct clinical input from a multidisciplinary team of physicians, nurses and biostatisticians, a clinical database was developed that is capable of tracking complex in-hospital and longterm follow-up data in patients undergoing treatment of coronary artery disease.


RESULTS
The database has provided the basis for in-depth analysis of angioplasty results in patients with vessels and lesions of varying morphology, showing greater than 90% success in most complex lesion morphology using contemporary balloon technology and/or new devices.  Longterm analysis (14 years) of patients after angioplasty has demonstrated that 76% survived without major cardiac events.  Other analyses of various clinical and morphologic subsets have shown favorable results with angioplasty.  The databases for angioplasty and coronary bypass surgery have been combined, showing comparable survival and freedom from cardiac events in multivessel disease patients treated with these procedures.


CONCLUSIONS
The development of a dynamic and clinically relevant database that has evolved has contributed valuable information to the understanding and effective management of patients with coronary artery disease.(ABSTRACT TRUNCATED AT 250 WORDS)
Shaw
R E
RE
San Francisco Heart Institute, Seton Medical Center, Daly City, California 94015.
Myler
R K
RK
Murphy
M C
MC
Mooney
J
J
Hansell
H N
HN
Stertzer
S H
SH
D015906:Angioplasty, Balloon, Coronary / Q000009:adverse effects / Q000706:statistics & numerical data*; D003327:Coronary Disease / Q000209:etiology / Q000628:therapy; D016208:Databases, Factual; D005500:Follow-Up Studies; D006801:Humans; D017063:Outcome Assessment, Health Care; D011787:Quality of Health Care; D012985:Software Design