Thrombosis, Venous Clinical Trial
Official title:
Risk of Hemorrhage in Patients Prescribed Arixtra Compared to LMWH
Arixtra (fondaparinux sodium) was the first selective Factor Xa inhibitor to be marketed. As
with all anticoagulants, an important adverse event associated with Arixtra use is
haemorrhage. Previous studies using clinical trial and observational data show no difference
in the risk of haemorrhage in patients treated with Arixtra compared to (low molecular
weight heparins) LMWHs. This study will assess the risk of haemorrhage in major orthopaedic
surgery patients (hip fracture surgery and/or hip/knee replacement surgery) treated with
either Arixtra or LMWH for thromboprophylaxis and will provide additional observational data
from a European country to strengthen the comprehensive review of haemorrhage and the
post-marketing safety of Arixtra. All patients age 18 years and older with a primary
discharge diagnosis for hip fracture surgery and/or a hospitalization for hip and/or knee
replacement surgery from the PHARMO RLS database in the Netherlands are eligible for
participation. For study inclusion patients must receive either Arixtra or LMWH as initial
in-hospital thromboprophylactic agent and have at least three months in the PHARMO RLS
database before cohort entry date. Patients with a history of hospitalization for
haemorrhage, renal failure or liver failure in the past 3 months will be excluded.
Descriptive statistics, including gender, age, length of treatment, co-morbidities,
concomitant medications, and other covariates will be calculated.
Data for this study were obtained from different registers in the PHARMO medical record
linkage system (PHARMO RLS) in the Netherlands. The PHARMO medical record linkage system is
a population-based patient-centric data tracking system that includes high quality and
complete information of patient demographics, drug dispensing, and hospital morbidity
records of approximately 2.3 million community-dwelling inhabitants of 48 geo-demographic
areas in the Netherlands. The PHARMO registers are linked on a patient level and contain
unprecedented accurate and complete information required for the study.
The out patient database contains drug dispensing data in the U-Expo database are encoded
according to standards based upon the Z-Index drug database (www.z-index.nl). Therefore, it
is possible to identify and classify drug use in time, both on the basis of national and
international classification schemes as well as on the basis of individual active
ingredients and administration forms. Of each dispensed drug, the Anatomical Therapeutic
Chemical (ATC) code, the dispensing date, the prescriber, the prescribed dosage regimen, the
dispensed quantity, the cost and the estimated legend duration of use are available.
The hospital pharmacy database comprises hospital pharmacy data collected in a growing
number of non-academic hospitals in the Netherlands. Currently, data are collected on
patient level for more than one million patients from a representative sample of
non-academic hospital pharmacies scattered over the Netherlands. The hospital pharmacy
database includes data on in-patient medication orders such as type of drug, dose, and time
of administration and duration of use.
The Dutch Medical Register (LMR) is the data source comprising all hospital admissions in
the Netherlands (www.prismant.nl). These records include detailed information concerning the
primary and secondary discharge diagnoses, diagnostic, surgical and treatment procedures,
type and frequency of consultations with medical specialists and dates of hospital admission
and discharge. All diagnoses are coded according to the International Classification of
Diseases, 9th edition (ICD-9-CM). Currently, data until December 2008 are available.
Patients were not recruited for nor enrolled in this study. This study is a retrospective observational study. Data from medical records or insurance claims databases are anonymised and used to develop a patient cohort. All diagnoses and treatment are recorded in the course of routine medical practice. ;
Observational Model: Cohort, Time Perspective: Retrospective
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