Literature DB >> 26101025

Prediction of high risk of non-adherence to antiplatelet treatment.

Aldona Kubica, Karolina Obońska, Michał Kasprzak, Beata Sztuba, Eliano Pio Navarese, Marek Koziński, Iwona Świątkiewicz, Magdalena Kieszkowska, Małgorzata Ostrowska1, Grzegorz Grześk, Jacek Kubica.   

Abstract

BACKGROUND: Dual antiplatelet therapy with acetylsalicylic acid (ASA) and clopidogrel is the standard of care for secondary prevention. Premature discontinuation of clopidogrel is associated with an increased risk of myocardial infarction (MI) or death, and greater health care expenditure. AIM: To develop an objective method for identification of patients with high risk of non-adherence to clopidogrel after MI.
METHODS: A total of 189 patients were enrolled into a prospective, observational, single-centre study with a nine-month follow-up. Patients received a 600-mg loading dose and 75-mg maintenance dose of clopidogrel in combination with ASA doses of 300 mg and 75 mg, respectively. Adenosine diposphate-induced platelet aggregation (ADP-PA) was assessed during baseline hospitalisation and at three, six, and nine months after discharge. Adherence to medication with clopidogrel was defined as the proportion of drug availability based on data from the National Health Fund regarding prescribed drug purchases. Adherence was arbitrarily judged adequate when the proportion exceeded 80%.
RESULTS: According to our hypothesis, ADP-PA in non-adherent patients should be higher at follow-up visits (at least once) as compared with measurement at hospitalisation. Based on the ROC curve analysis, the optimal cut-off point equal to 4 U was defined (p < 0.0001, 95% CI 0.562-0.654; sensitivity: 60.6%, specificity: 57.1%, positive predictive value: 63.3%, negative predictive value: 54.2%). The prevalence of true adherence to medication in groups of high and low probability of adherence defined according to developed criteria amounted 60 (50.8%) and 23 (32.4%) cases, respectively (p = 0.01).
CONCLUSIONS: The newly developed method of objective identification of patients with high risk of non-adherence to clopidogrel after MI is easily applicable and cheap, and, despite relatively low sensitivity and specificity, it efficiently differentiates patients with regard to clinical end-points during follow-up.

Entities:  

Keywords:  ADP-induced platelet aggregation; adherence to medication; clopidogrel

Mesh:

Substances:

Year:  2015        PMID: 26101025     DOI: 10.5603/KP.a2015.0117

Source DB:  PubMed          Journal:  Kardiol Pol        ISSN: 0022-9032            Impact factor:   3.108


  7 in total

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Journal:  Cardiol J       Date:  2020-10-19       Impact factor: 2.737

2.  Secondary prevention of coronary artery disease in Poland. Results from the POLASPIRE survey.

Authors:  Piotr Jankowski; Dariusz A Kosior; Paweł Sowa; Karolina Szóstak-Janiak; Paweł Kozieł; Agnieszka Krzykwa; Emilia Sawicka; Maciej Haberka; Małgorzata Setny; Karol Kamiński; Zbigniew Gąsior; Aldona Kubica; Dirk De Bacquer; Guy De Backer; Kornelia Kotseva; David Wood; Andrzej Pająk; Danuta Czarnecka
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3.  Systematic reviews: causes of non-adherence to P2Y12 inhibitors in acute coronary syndromes and response to intervention.

Authors:  Nina Johnston; John Weinman; Lucy Ashworth; Peter Smethurst; Jad El Khoury; Clare Moloney
Journal:  Open Heart       Date:  2016-10-19

4.  Adherence to Antiplatelet Therapy after Coronary Intervention among Patients with Myocardial Infarction Attending Vietnam National Heart Institute.

Authors:  Ngoc Minh Luu; Anh Tuan Dinh; Thi Thu Ha Nguyen; Van Huy Nguyen
Journal:  Biomed Res Int       Date:  2019-04-24       Impact factor: 3.411

5.  Adherence to treatment assessed with the Adherence in Chronic Diseases Scale in patients after myocardial infarction.

Authors:  Agata Kosobucka; Piotr Michalski; Łukasz Pietrzykowski; Michał Kasprzak; Karolina Obońska; Tomasz Fabiszak; Mirosława Felsmann; Aldona Kubica
Journal:  Patient Prefer Adherence       Date:  2018-03-05       Impact factor: 2.711

6.  Medication adherence and its determinants in patients after myocardial infarction.

Authors:  Łukasz Pietrzykowski; Piotr Michalski; Agata Kosobucka; Michał Kasprzak; Tomasz Fabiszak; Wioleta Stolarek; Jolanta M Siller-Matula; Aldona Kubica
Journal:  Sci Rep       Date:  2020-07-21       Impact factor: 4.379

7.  Patient counselling service with the use of pictograms as the example of pharmacist intervention to improving compliance and medicine safety.

Authors:  Piotr Merks; Damian Świeczkowski; Marcin Balcerzak; Urszula Religioni; Ewelina Drelich; Jerzy Krysiński; Dagmara Hering; Miłosz Jaguszewski
Journal:  Cardiol J       Date:  2021-02-26       Impact factor: 2.737

  7 in total

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