Study type

Study topic

Disease /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Effectiveness study (incl. comparative)

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Study drug International non-proprietary name (INN) or common name

RIVAROXABAN

Anatomical Therapeutic Chemical (ATC) code

(B01AA03) warfarin
warfarin

Medical condition to be studied

Atrial fibrillation
Population studied

Short description of the study population

All the insured individuals included in the Truven Health MarketScan databases.
To be included in the present study, patients have to be adults (≥18 years of age) newly-initiated on warfarin or rivaroxaban 15 mg (index event, index drug), have at least 365 days of continuous medical and prescription benefits prior to the index event (baseline period), at least two diagnosis codes for NVAF (on outpatient or inpatient claims, at two different days) and at least one diagnosis code (inpatient or outpatient) indicating renal dysfunction in the baseline period.

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Special population of interest

Renal impaired

Estimated number of subjects

11000
Study design details

Main study objective

The objective of the study is to evaluate the effectiveness and safety of the reduced dose rivaroxaban (15mg once daily) as compared to warfarin in non-valvular atrial fibrillation (NVAF) patients with renal dysfunction in routine clinical practice. The study has a retrospective design, and will be conducted in the US Truven Health MarketScan Commercial Claims and Medicare Supplemental Databases.

Outcomes

Ischemic stroke,Intracranial hemorrhage,Bleeding-related hospitalization, Composite endpoint, which is defined as the occurrence of ischemic stroke or intracranial hemorrhage, Progression to stage 5 chronic kidney disease, kidney failure or need for dialysis

Data analysis plan

Stabilized inverse probability of treatment weighting (IPTW) methodology based on the propensity score will be utilized to adjust for potential confounding. Additionally, a propensity score matching analysis and a conventional multiple logistic regression analysis will be conducted. The incidence rates of the study outcome measures will be reported as the number of events per 100 person-years. Cox proportional hazards regression model will be applied to estimate adjusted hazard ratios.