Current Vascular Pharmacology
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352
Current Vascular Pharmacology, 2019, 17, 352-353
CORRESPONDENCE SECTION
Response on Patient Adherence to Novel Oral Anticoagulants (NOACs) for
the Treatment of Atrial Fibrillation and Occurrence of Associated Bleed-
ing Events: A Systematic Review and Meta-analysis
Abdulla Shehab
1,*
, Akshaya S. Bhagavathula
1
, Tamrat B. Abebe
2,3
, Tadessa M. Abegaz
2
, Asim A. Elnour
4
,
Hani M. Sabbour
5
, Masood Uzzafer
6
, Hersi Ahmad
7
and Adel K. Hamad
8
1
Department of Internal Medicine, United Arab Emirates University, College of Medicine
and Health Sciences, Al Ain, UAE;
2
Department of Clinical Pharmacy, University of Gondar
- College of Medicine and Health Sciences, Gondar, Ethiopia;
3
Master's Student, Depart-
ment of Learning, Informatics, Management and Ethics (LIME), Karolinska Institute, Solna,
Sweden;
4
Department of Pharmacy Practice, Pharmacy College, Gulf Medical University,
Ajman, UAE;
5
Department of Cardiology, Brown University Warren Alpert School of Medicine, Rhode Island, USA;
6
Health Informatics Consultant, Dallas, Texas, USA;
7
Department of Cardiac Sciences, King Saud University, College
of Medicine, Riyadh, KSA;
8
Mohammed bin Khalifa Al Khalifa Cardiac Centre, Bahrain Defence Force Hospital, Ar-
Rifaa, Bahrain
Dear Editor,
We thank Albert and colleagues [1] for their comments
and questions.
We [2] conducted a literature review which included the
terms such as ‘adherence,’ ‘novel oral anticoagulants,’ ‘atrial
fibrillation’ and associated ‘bleeding events.’ All in all, the
search strings entered in PubMed were: ‘adherence’, ‘com-
pliance’, ‘persistence’, ‘atrial’ ‘fibrillation’, ‘treatment’,
‘preferences’, ‘atrial fibrillation’, ‘novel oral anticoagulants’
or ‘oral anticoagulants’ and ‘bleeding events’. ‘Adherence
and treatment,’ ‘adherence,’ ‘compliance,’ ‘dabigatran’ or
‘Pradaxa,’ ‘atrial’, fibrillation’, ‘bleeding’, ‘nonvalvular’,
‘stroke’, ‘prevention’, ‘capacitance’ ‘cardiac,’ and ‘antico-
agulation.’ ‘Rivaroxaban’ or ‘Xarelto’, ‘treatment’, ‘stroke’,
‘prevention’, ‘adherence’, ‘bleeding’, ‘atrial’, ‘fibrillation’,
‘bleeding’, ‘nonvalvular’ ‘cardiac’ and ‘anticoagulation’.
‘Apixaban’ or ‘Eliquis’, ‘treatment’, ‘stroke’, ‘prevention’,
‘adherence’, ‘bleeding’, ‘atrial’, ‘fibrillation’, ‘compliance’,
‘cardiac’, ‘events’, and ‘anticoagulation’. ‘Edoxaban’, or
‘Savaysa’, ‘treatment’, ‘stroke’, ‘prevention’, ‘adherence’,
‘compliance’, ‘bleeding’, ‘events’, ‘atrial fibrillation’, ‘non-
valvular’, ‘preference’, ‘cardiac’ and anticoagulation’. ‘AF’,
‘NVAF’, ‘warfarin’, ‘Coumadin’, ‘direct oral anticoagu-
lants’, ‘NOAC’, ‘dabigatran’, ‘rivaroxaban’, ‘apixaban’,
‘edoxaban’, ‘real world’, ‘observational’ and ‘cohort’.
Manual searches of reference lists and table of contents
of relevant journals were also performed. However, terms
*Address correspondence to this author at the Department of Internal
Medicine, United Arab Emirates University, College of Medicine and
Health Sciences, Al Ain, UAE; Tel: +971-502430220;
E-mail: a.shehab@uaeu.ac.ae
such as ‘Lixiana’ ‘associated bleeding events’, and ‘DOAC’
were not identified as MeSH terms. Furthermore, our meta-
analysis [2] is focused only on observational studies that
were published from September 2010 to June 2016. We re-
ported heterogeneity and detailed this in the limitation sec-
tion. Due to the limited number of studies, we did not per-
form a sensitivity analysis or adjust for any confounding that
may have a potential influence on outcomes.
The International Society for Pharmacoeconomics and
Outcome Research (ISPOR) Medication Compliance and
Persistence Work Group defines medication adherence as
‘the extent to which a patient acts in accordance with the
prescribed interval and dose of dosing regimen’ [3]. In real-
world situations, medication adherence measured using
claims data has been used for a variety of purposes including
the impact of medication non-adherence on clinical out-
comes [4]. For example, Woltmann and colleagues evaluated
the importance of a commonly used adherence measure
(Medication possession ratio- MPR or the proportions of
days covered- PDC) as a screening tool to identify patient
need for assistance with medication adherence [5]. It is also
notable that medication adherence using a retrospective da-
tabase, continuous data should not be converted into catego-
ries unless empirical evidence exists for a cut-off value. Un-
fortunately, no threshold values are yet available for chronic
diseases conditions of clinical importance, and thus it is dif-
ficult to identify an optimal adherence cut-off point that has
been empirically validated [6, 7]. Furthermore, differences in
operationalized measures, vocabulary choice, and different
interpretations make it difficult to generalize the studies. The
new conceptual taxonomy [8] referred by Albert and col-
leagues is still under experimental investigations and is not
yet widely accepted.
A R T I C L E H I S T O R Y
Received: June 14, 2018
Revised: June 30, 2018
Accepted: July 02, 2018
DOI:
10.2174/1570161117999190429124137
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