Literature DB >> 10419079

Compliance with aspirin or placebo in the Hypertension Optimal Treatment (HOT) study.

B Waeber1, G Leonetti, R Kolloch, G T McInnes.   

Abstract

OBJECTIVE: The Hypertension Optimal Treatment (HOT) study is a large, prospective trial aimed at defining the level of diastolic blood pressure required during anti-hypertensive therapy in order to achieve maximal protection against cardiovascular complications. A further aim is to assess the effects on morbidity and mortality of a 75 mg daily dose of aspirin compared with placebo. SUBJECTS AND METHODS: Compliance with double-blind administration of aspirin or placebo added to anti-hypertensive treatment was evaluated for 1 year in a subset (n = 530) of the study population (n = 18 790) by placing the medication in a container closed with an electronic cap that records precisely the time of each opening.
RESULTS: The 1-year compliance rate (percentage of days with one opening per day) could be assessed in 501 patients. It averaged 78.3 +/- 25% in aspirin-treated patients (n = 236, mean +/- SD), compared with 78.5 +/- 25% in patients having received placebo (n = 265), and was not influenced by age, sex or country (Germany, Italy, Switzerland, UK). The compliance rate was also similar irrespective of whether the patients had reached their target blood pressure, but was significantly better during the first than the second 6-month monitoring period (84.1 +/- 22% versus 72.3 +/- 32%, n = 501).
CONCLUSIONS: The high rate of compliance with aspirin or placebo observed in the HOT study suggests that the patients were highly motivated and may account for the unusually good blood pressure control achieved in this trial during long-term anti-hypertensive treatment.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10419079     DOI: 10.1097/00004872-199917070-00022

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  15 in total

1.  Giving aspirin and ibuprofen after myocardial infarction.

Authors:  Stephen E Kimmel; Brian L Strom
Journal:  BMJ       Date:  2003-12-06

Review 2.  Predicting and preventing adverse drug reactions in the very old.

Authors:  Louis Merle; Marie-Laure Laroche; Thierry Dantoine; Jean-Pierre Charmes
Journal:  Drugs Aging       Date:  2005       Impact factor: 3.923

Review 3.  Modeling and simulation of adherence: approaches and applications in therapeutics.

Authors:  Leslie A Kenna; Line Labbé; Jeffrey S Barrett; Marc Pfister
Journal:  AAPS J       Date:  2005-10-05       Impact factor: 4.009

4.  Relation between insufficient response to antihypertensive treatment and poor compliance with treatment: a prospective case-control study.

Authors:  R Nuesch; K Schroeder; T Dieterle; B Martina; E Battegay
Journal:  BMJ       Date:  2001-07-21

5.  Evaluation of medication adherence in chronic disease at a federally qualified health center.

Authors:  Alvin B Oung; Emily Kosirog; Benjamin Chavez; Jason Brunner; Joseph J Saseen
Journal:  Ther Adv Chronic Dis       Date:  2017-06-21       Impact factor: 5.091

6.  Riboflavin as an independent and accurate biomarker for adherence in a randomized double-blind and placebo-controlled clinical trial.

Authors:  V-M S Ramanujam; Fatima Nayeem; Karl E Anderson; Yong-Fang Kuo; Nai-Wei Chen; Hyunsu Ju; Lee-Jane W Lu
Journal:  Biomarkers       Date:  2016-12-23       Impact factor: 2.658

Review 7.  Understanding patient management: the need for medication adherence and persistence.

Authors:  Yc Chia
Journal:  Malays Fam Physician       Date:  2008-04-30

8.  Patient education improves adherence to peg-interferon and ribavirin in chronic genotype 2 or 3 hepatitis C virus infection: a prospective, real-life, observational study.

Authors:  Patrice Cacoub; Denis Ouzan; Pascal Melin; Jean-Philippe Lang; Michel Rotily; Thierry Fontanges; Marina Varastet; Michel Chousterman; Patrick Marcellin
Journal:  World J Gastroenterol       Date:  2008-10-28       Impact factor: 5.742

9.  A Systems-Level Approach to Improving Medication Adherence in Hypertensive Latinos: a Randomized Control Trial.

Authors:  Antoinette Schoenthaler; Franzenith de la Calle; Maria Pitaro; Audrey Lum; William Chaplin; Jazmin Mogavero; Milagros C Rosal
Journal:  J Gen Intern Med       Date:  2019-10-17       Impact factor: 5.128

10.  Standardized classification and framework for reporting, interpreting, and analysing medication non-adherence in cardiovascular clinical trials: a consensus report from the Non-adherence Academic Research Consortium (NARC).

Authors:  Marco Valgimigli; Hector M Garcia-Garcia; Bernard Vrijens; Pascal Vranckx; Eugène P McFadden; Francesco Costa; Karen Pieper; David M Vock; Min Zhang; Gerrit-Anne Van Es; Pierluigi Tricoci; Usman Baber; Gabriel Steg; Gilles Montalescot; Dominick J Angiolillo; Patrick W Serruys; Andrew Farb; Stephan Windecker; Adnan Kastrati; Antonio Colombo; Fausto Feres; Peter Jüni; Gregg W Stone; Deepak L Bhatt; Roxana Mehran; Jan G P Tijssen
Journal:  Eur Heart J       Date:  2019-07-01       Impact factor: 29.983

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.