The purpose of this study is to evaluate the APIXABAN use in the Prevention of Stroke and Systemic Embolism in Patients with Atrial Fibrillation in Real-Life Setting in France, data from SNIIRAM (French data base).
Study Type
OBSERVATIONAL
Enrollment
321,501
Unnamed facility
Rueil-Malmaison, France
Incidence rate of first event of stroke and/or systemic embolism over the period of AC exposure
Estimation by AC treatment and for both populations (AC-naive and AC-experienced patients) of Incidence rate (95%CI) of first event of stroke and/or systemic embolism (effectiveness) and of first event of major bleeding (safety) over the period of AC ex
Time frame: Approximately 2 years
Time-to-first occurrence of stroke or systemic embolism will be estimated and plotted using Kaplan-Meier product limit estimator
Estimation by AC treatment and for both populations (AC-naive and AC-experienced patients) of Time-to-first occurrence of stroke and/or systemic embolism (effectiveness) and of major bleedings (safety) using Kaplan-Meier product limit estimator (95%CI)
Time frame: Approximately 2 years
Incidence rates for composite morbidity criterion and all-cause death over the period of AC exposure will be estimated by AC treatment
* Risk of occurrence of a composite morbidity criterion: number of patients presenting at least 1 event during the exposure period, incidence rate, median time to occurrence of event in each subcohort, composite morbidity criterion being defined by stroke, systemic embolism or major bleeding, whichever occurs first. * Risk of all-cause mortality: number of deaths during exposure period to studied AC treatment, incidence rate, median survival time
Time frame: Approximately 2 years
Time-to-event for composite morbidity criterion and all-cause death using Kaplan-Meier product limit estimator (95%CI)
Time frame: Approximately 2 years
Major characteristics of patients will be described by AC treatments
Major characteristics of patients and comorbidities were: * proportion of AC-naive patients by AC treatment * In each subcohort: * Sociodemographic characteristics: median age, sex ratio, region of residence, CMU-C (Universal Health Coverage Complementary) beneficiary, * NVAF characteristics : time since NVAF diagnosis, * ALD status distribution (ALD Type, ICD-10 code for diagnosis), * Past hospital stay : number and total length of hospital stays * Previous exposure to AC treatment (class, molecule) over the 3 previous years, for AC-experienced patients. * Thromboembolism risk factors: CHADS2 mean score, CHA2DS2 VASc mean score, and distribution according to the scores. * Bleeding risk factors: modified HASBLED mean score and distribution according to the scores * Charlson mean score and distribution according to the scores
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Time frame: Approximately 2 years
Treatment patterns at AC initiation, over time and concomitant treatment will be tabulated by AC treatment
Treatment patterns at AC initiation: Type of the prescriber initiating the AC treatment (general practitioners, office-based cardiologists, hospital-based physicians and others), prescribed dosages, duration of initial prescription, co prescription (others AC, antiplatelet agents, NSAIDs, SRIs, strong inhibitors of both CYP3A4, anticonvulsivant strong inducer of hepatic enzymes, rifampicine, antiarrhythmic drugs)
Time frame: Approximately 2 years
Time-to-discontinuation will be estimated and plotted using Kaplan-Meier product limit estimator
Time-to-discontinuation will be estimated and plotted using Kaplan-Meier product limit estimator based on Adherence to treatment: mean Medication Possession Ratio (MPR), Persistence: number for AC treatment discontinuation, median time to discontinuation
Time frame: Approximately 2 years
The healthcare resources utilization will be described by AC treatment
The healthcare resources utilization will be described by AC treatment based on number of medical visits, number of nurse acts, per category of act, number of drugs packages per therapeutic classes, number of biology and tests, per type of act, number of other explorations, number of hospital stays, number of sick leaves
Time frame: Approximately 2 years
Comparisons of major characteristics of patients between apixaban and each of the other AC treatments
Comparisons of major characteristics of patients between apixaban and each of the other AC treatments will be performed using: * An analysis adjusted for confounding factors in order to verify adjustment quality and using: * the Wald test from a logistic regression model for binary and other qualitative variables * the F- test from a covariance analysis for quantitative variables * An analysis after matching for confounding factors in order to verify matching quality and using: * the Cochran-Mantel-Haenzel test for qualitative variables * the F-test from a covariance analysis for quantitative variables
Time frame: Approximately 2 years
Comparison of incidence rates of each studied event (stroke or systemic thromboembolic event, major bleeding, all-cause death) between apixaban and each of the other usual AC treatments
Time frame: Approximately 2 years
Comparative time-to-event analyses for each studied event between apixaban and each of the other usual AC treatments
Time frame: Approximately 2 years