Burden of Illness in Atrial Fibrillation

February 4, 2016 updated by: Bayer

Burden of Illness in Atrial Fibrillation in Denmark

The overall goal of this retrospective registry study is to investigate the burden-of.illness in atrial fibrillation (AF) in Denmark. Several Danish registries will be utilized to collect information on the diseases epidemiology including incidence and prevalence of AF and stroke as well as a stroke risk stratification of the Danish AF-population, the clinical and economical burden (in terms of direct and indirect cost) of AF and stroke to Danish patients, healthcare providers / healthcare system and society as well as describing treatment patterns with anticoagulant agents and their consequences in terms of stroke, bleeds, death and according cost in a real-life setting.

Study Overview

Status

Completed

Conditions

Study Type

Observational

Enrollment (Actual)

107532

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 90 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

The base population of AF patients will be identified in the National Patient Registry. For a given period of time (2000-2013, both years inclusive) all patients with a hospital contact (admission, outpatient visit or ER visit) and for whom AF was the primary or secondary diagnosis code will be identified.

Description

Inclusion Criteria:

  • Primary and secondary diagnosis with AF;
  • The base population of AF patients will be identified in the National Patient Registry. For a given period of time (2000-2013, both years inclusive) all patients with a hospital contact (admission, outpatient visit or ER visit) and for whom AF was the primary or secondary diagnosis code (ICD10-code: DI480, DI481, DI482, DI483, DI484, DI489) will be included.

Exclusion Criteria:

  • Patients younger than 18 and older than 90 years of age.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
AF patients in Denmark / Cohort 1

The base population of AF patients for diagnosis and health care utilization / resource use will be identified in the National Patient Registry. For a given period of time (2000-2013, both years inclusive) all patients with a hospital contact (admission, outpatient visit or ER visit) and for whom AF was the primary or secondary diagnosis code will be identified.

Further Data sources used:

Registry of Medicinal Product Statistics: for determining the individuals' use of prescription medicine DREAM database: for investigation of sickness benefit and productivity loss Statistics Denmark's databases: on social services from municipalities Cause of Death Registry: AF-patients or controls who died during the study period (2000-2013) Danish Civil Registry: used for identification of controls, holds information about age, gender

As used in clinical practice, analysed as per drug class, not separate drugs.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of patients with (non-valvular) AF in total Danish population and by gender and age groups 18-65, 66-75, 75+, 80+
Time Frame: up to 4 weeks
up to 4 weeks
Number of newly diagnosed patients with (non-valvular) AF per year in total Danish population and by gender and age groups 18-65, 66-75, 75+, 80+
Time Frame: up to 4 weeks
up to 4 weeks
Number of patients with (non-valvular) AF per Danish Region and by gender and age groups 18-65, 66-75, 75+, 80+
Time Frame: up to 4 weeks
up to 4 weeks
Number of newly diagnosed patients with (non-valvular) AF per year and per Danish Region and by gender and age groups 18-65, 66-75, 75+, 80+
Time Frame: up to 4 weeks
up to 4 weeks
Mortality among AF patients compared with that of the general population/the 'controls', if possible by gender and age group
Time Frame: up to 4 weeks
up to 4 weeks
Number of patients with stroke in (non-valvular) AF-patients in Denmark by gender and age groups 18-65, 66-75, 75+, 80+
Time Frame: up to 4 weeks
up to 4 weeks
Number of newly diagnosed patients with stroke in (non-valvular) AF-patients per year in Denmark by gender and age groups 18-65, 66-75, 75+, 80+
Time Frame: up to 4 weeks
up to 4 weeks
Mortality among stroke patients (in AF) compared with that of the population/the 'controls' and the total AF-population, if possible by gender and age group
Time Frame: up to 4 weeks
up to 4 weeks
Direct cost in AF (in total and per patient)
Time Frame: up to 4 weeks

Costs due to:

Patients' resource use in the primary care sector (GP-visits, etc.) Patients' resource use in the hospital sector, including specialized rehabilitation Patients' use of prescription medicine

Cost will be shown:

For Denmark Per Region including differences between Regions For differentiation by age group For differentiation by Region and age group, if possible based on sample sizes

up to 4 weeks
Direct cost in AF-related stroke (in total and per patient)
Time Frame: up to 4 weeks

Costs due to:

Patients' resource use in the primary care sector (GP-visits, etc.) Patients' resource use in the hospital sector, including specialized rehabilitation Patients' use of prescription medicine

Cost will be shown:

For Denmark Per Region including differences between Regions For differentiation by age group For differentiation by Region and age group, if possible based on sample sizes

up to 4 weeks
Indirect cost in AF (in total and per patient)
Time Frame: up to 4 weeks

Costs due to:

Patients' long-term absence from the labour force (only relevant for patients under 65 years of age) Patients' demand for home care and rehabilitation delivered by municipalities

Cost will be shown:

For Denmark Per Region including differences between Regions For differentiation by age group For differentiation by Region and age group, if possible based on sample sizes

up to 4 weeks
Indirect cost in AF-related stroke (in total and per patient)
Time Frame: up to 4 weeks

Costs due to:

Patients' long-term absence from the labour force (only relevant for patients under 65 years of age) Patients' demand for home care and rehabilitation delivered by municipalities

Cost will be shown:

For Denmark Per Region including differences between Regions For differentiation by age group For differentiation by Region and age group, if possible based on sample sizes

up to 4 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of patients with AF-related stroke rated per CHADS2-score (0 to 6) in Danish population
Time Frame: up to 4 weeks
CHADS2-score: Congestive heart failure/left ventricular dysfunction, Hypertension, Age, Diabetes, Stroke (Doubled)
up to 4 weeks
Percentage (%) of patients with AF-related stroke rated per CHADS2-score (0 to 6) in Danish population
Time Frame: up to 4 weeks
CHADS2-score: Congestive heart failure/left ventricular dysfunction, Hypertension, Age, Diabetes, Stroke (Doubled)
up to 4 weeks
Number of patients with AF-related stroke rated per average CHADS-score in Danish population
Time Frame: up to 4 weeks
up to 4 weeks
Percentage (%) of patients with AF-related stroke rated per average CHADS-score in Danish populationPercentage (%) of patients with AF-related stroke rated per average CHADS-score in Danish population
Time Frame: up to 4 weeks
up to 4 weeks
Number of patients with AF-related stroke rated per CH2ADS2-VASc-score (0 to 9) in Danish population
Time Frame: up to 4 weeks
up to 4 weeks
Percentage (%) of patients with AF-related stroke rated per CH2ADS2-VASc-score (0 to 9) in Danish population
Time Frame: up to 4 weeks
up to 4 weeks
Number of patients per HAS-BLED-score (0 to 9) in Danish AF-population
Time Frame: up to 4 weeks
up to 4 weeks
Percentage (%) of patients per HAS-BLED-score (0 to 9) in Danish AF-population
Time Frame: up to 4 weeks
up to 4 weeks
Number of patients per average HAS-BLED-score in Danish AF-population
Time Frame: up to 4 weeks
up to 4 weeks
Percentage (%) of patients per average HAS-BLED-score in Danish AF-population
Time Frame: up to 4 weeks
up to 4 weeks
Number of patients in total and per CH2ADS2-VASc-score receiving Acetylsalicylic Acid [ASA]
Time Frame: up to 4 weeks
up to 4 weeks
Number of patients in total and per CH2ADS2-VASc-score receiving warfarin
Time Frame: up to 4 weeks
up to 4 weeks
Number of patients in total and per CH2ADS2-VASc-score receiving any Novel Oral Anticoagulants [NOACs]
Time Frame: up to 4 weeks
up to 4 weeks
Number of patients in total and per CH2ADS2-VASc-score receiving no treatment
Time Frame: up to 4 weeks
up to 4 weeks
Percentage (%) of patients in total and per CH2ADS2-VASc-score receiving Acetylsalicylic Acid [ASA]
Time Frame: up to 4 weeks
up to 4 weeks
Percentage (%) of patients in total and per CH2ADS2-VASc-score receiving Warfarin
Time Frame: up to 4 weeks
up to 4 weeks
Percentage (%) of patients in total and per CH2ADS2-VASc-score receiving any Novel Oral Anticoagulants [NOACs]
Time Frame: up to 4 weeks
up to 4 weeks
Percentage (%) of patients in total and per CH2ADS2-VASc-score receiving no treatment
Time Frame: up to 4 weeks
up to 4 weeks
Number of patients experiencing events (e.g. stroke, Systemic Embolism [SE], Myocardial Infarction [MI], bleeds, death) since AF-diagnosis per anticoagulant agent (AC)-medication incl. no treatment in total
Time Frame: up to 4 weeks
up to 4 weeks
Percentage (%) of patients experiencing events (e.g. stroke, Systemic Embolism [SE], Myocardial Infarction [MI], bleeds, death) since AF-diagnosis per anticoagulant agent (AC)-medication incl. no treatment in total
Time Frame: up to 4 weeks
up to 4 weeks
Number of patients experiencing events (e.g. stroke, Systemic Embolism [SE], Myocardial Infarction [MI], bleeds, death) since AF-diagnosis per Anticoagulant agent (AC)-medication incl. no treatment per CHADS-VASc-score
Time Frame: up to 4 weeks
up to 4 weeks
Percentage (%) of patients experiencing events (e.g. stroke, Systemic Embolism [SE], Myocardial Infarction [MI], bleeds, death) since AF-diagnosis per Anticoagulant agent (AC)-medication incl. no treatment per CHADS-VASc-score
Time Frame: up to 4 weeks
up to 4 weeks
Vitamin K antagonist (VKA) treated AF-patients in AC-clinics versus GP-setting
Time Frame: up to 4 weeks
Based on data from the National Patient Registry, the Primary Care Registry and the Registry of Medicinal Product Statistics and inclusion codes for specific fees/services, it will be possible to identify which patients are treated in an AC-clinic and which patients are treated in a GP-setting
up to 4 weeks
Direct and indirect cost of AC medication treatment patterns
Time Frame: up to 4 weeks
up to 4 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

October 1, 2015

Primary Completion (Actual)

December 1, 2015

Study Completion (Actual)

December 1, 2015

Study Registration Dates

First Submitted

October 7, 2015

First Submitted That Met QC Criteria

November 25, 2015

First Posted (Estimate)

November 26, 2015

Study Record Updates

Last Update Posted (Estimate)

February 5, 2016

Last Update Submitted That Met QC Criteria

February 4, 2016

Last Verified

February 1, 2016

More Information

Terms related to this study

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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