Retrospective Analysis Showing Less Cardiac Events in Post-Myocardial Infarction Patients Treated With Metoprolol

2000 ◽  
Vol 64 (5) ◽  
pp. 358-364 ◽  
Author(s):  
Kinji Ishikawa ◽  
Masaru Miyataka ◽  
Ken Kanamasa ◽  
Takahiro Hayashi ◽  
Toshihiko Takenaka ◽  
...  
2000 ◽  
Vol 41 (3) ◽  
pp. 279-294 ◽  
Author(s):  
Ishikawa Kinji ◽  
Miyataka Masaru ◽  
Kanamasa Ken ◽  
Hayashi Takahiro ◽  
Takenaka Toshihiko ◽  
...  

2007 ◽  
Vol 190 (6) ◽  
pp. 460-466 ◽  
Author(s):  
Joost P. van Melle ◽  
Peter de Jonge ◽  
Adriaan Honig ◽  
Aart H. Schene ◽  
Astrid M. G. Kuyper ◽  
...  

BackgroundDepression following myocardial infarction is associated with poor cardiac prognosis. It is unclear whether antidepressant treatment improves long-term depression status and cardiac prognosis.AimsTo evaluate the effects of antidepressant treatment compared with usual care in an effectiveness study.MethodIn a multicentre randomised controlled trial, 2177 myocardial infarction patients were evaluated for ICD–10 depression and randomised to intervention (n=209) or care as usual (n=122). Both arms were evaluated at 18 months post-myocardial infarction for long-term depression status and new cardiac events.ResultsNo differences were observed between intervention and control groups in mean scores on the Beck Depression Inventory (11.0, s.d.=7.5 v. 10.2, s.d.=5.l, P=0.45) or presence of ICD-10 depression (30.5 v. 32.1%, P=0.68). The cardiac event rate was 14% among the intervention group and 13% among controls (OR=1.07, 95% CI 0.57-2.00).ConclusionsAntidepressant treatment did not alter long-term depression post-myocardial infarction status or improve cardiac prognosis.


2002 ◽  
Vol 66 (10) ◽  
pp. 881-885 ◽  
Author(s):  
Kinji Ishikawa ◽  
Akio Kimura ◽  
Takaaki Taniwa ◽  
Toshihiko Takenaka ◽  
Takahiro Hayashi ◽  
...  

2010 ◽  
Vol 72 (6) ◽  
pp. 563-569 ◽  
Author(s):  
Annelieke M. Roest ◽  
Elisabeth J. Martens ◽  
Johan Denollet ◽  
Peter de Jonge

2016 ◽  
Vol 9 (1) ◽  
pp. 217
Author(s):  
Hala Soomro ◽  
Salik Aleem ◽  
Mujtaba Hussain ◽  
Ali Alam ◽  
Ali Qadeer ◽  
...  

BACKGROUND: Aspirin non-adherence or discontinuation is associated with an almost three-fold increase in risk of major adverse cardiac events. Compliance, commonly known as adherence, has been a major health care issue. Some studies have reported non-adherence rates to aspirin as high as fifty percent. The main objective of this study was to determine the frequency and predictors of non-compliance to aspirin in post myocardial infarction patients.METHODS: This cross sectional study was conducted over a period of 3 months from May 2015 to July 2015 at Civil Hospital, Karachi. All patients visiting Cardiology out-patient department (OPD) with previously diagnosed myocardial infarction were included in the study. Patients who were not prescribed aspirin or those with contraindication to aspirin therapy such as hemophiliacs and peptic ulcer disease patients, and those with memory problems were excluded from the study. A pre-coded questionnaire was presented to the selected sample of 456 patients. Compliance was assessed through self-report. Chi square test was used as the primary statistical test.RESULTS: Out of 456 patients, 39% (n=178) were non-compliant to aspirin therapy. The most common reported cause for non-compliance was the failure to remember taking the drug reported by 40.7% (n=72) of the people. The second most common cause was the lack of awareness of the importance of the drug and the possible side effects of not taking it 31.4% (n =56).CONCLUSION: It can be concluded that non-compliance to aspirin is a major problem present in Pakistan. With the number of cardiovascular deaths increasing around the globe and in Pakistan, it is vital that non-compliance to aspirin should be taken as a serious issue.


2020 ◽  
Vol 7 (8) ◽  
pp. 3921-3932
Author(s):  
Olga V. Petyunina ◽  
Mykola P. Kopytsya ◽  
Alexander E. Berezin

Introduction: The goal of this study was to elucidate a link of brain-derived factor (BDNF) Val66Met gene with combined 6-month clinical end points in post-myocardial infarction patients. Methods: 256 post-myocardial infarction patients who underwent primary coronary intervention were enrolled in the study. Variants of Val66Met gene BDNF were identified by real-time chain reaction at baseline. Results: The combined clinical end points (major cardiovascular events and hospitalization) were determined in 61 (23.8%) post-STEMI patients; consequently, 195 (76.2%) patients did not meet the events. linear regression revealed that predictors for combined clinical end points were peak TnI levels, NT-proBNP, SYNTAX score, TIMI score, obesity, left ventricular ejection fraction, and 66ValMet+66MetMet in BDNF gene. The cumulative clinical outcomes (major adverse cardiac events and admission) were determined in 61 (23.8%) patients. Kaplan-Meier curves demonstrated that 66ValVal of BDNF gene was significantly associated with the low number of combined end points. Conclusion: The Val66Met in BDNF gene independently predicted 6-month combined clinical end points in post-myocardial infarction patients.


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