Long-Term Quality of Prescription for ST-Segment Elevation Myocardial Infarction (STEMI) Patients: A Real World 1-Year Follow-Up Study.
Details
State: Public
Version: Final published version
License: CC BY-NC 4.0
Serval ID
serval:BIB_1D4CB0F6082C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Long-Term Quality of Prescription for ST-Segment Elevation Myocardial Infarction (STEMI) Patients: A Real World 1-Year Follow-Up Study.
Journal
American journal of cardiovascular drugs
ISSN
1179-187X (Electronic)
ISSN-L
1175-3277
Publication state
Published
Issued date
02/2020
Peer-reviewed
Oui
Volume
20
Number
1
Pages
105-115
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Abstract
American and European associations of cardiology published specific guidelines about recommended drugs for secondary prevention in ST-segment elevation myocardial infarction (STEMI) patients. Our aim was to assess whether drug prescription for STEMI patients was in accordance with the guidelines at discharge and after 1 year.
We used data of 361 patients admitted for STEMI in a tertiary hospital in Switzerland from 2014 to 2016. We assessed the adequacy of prescription of recommended drugs at two time points: discharge and after 1 year. Medications assessed were aspirin, P2Y12 inhibitors, statin, angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs) and β-blockers. We took into account several criteria like statin dosage (low versus high intensity) and presence of contraindication for consideration of optimal therapy. Predictors of incomplete prescription of guideline medications were then assessed with multivariate logistic regression models.
From discharge (n = 358) to 1-year follow-up (n = 303), rate of optimal prescription was reduced from 98.6 to 91.7% for aspirin, from 93.9 to 79.1% for P2Y12 inhibitors, from 83.8 to 65.7% for statins, from 98.6 to 95.6% for ACEIs/ARBs, and from 97.1 to 96.9% for β-blockers. Predictors of incomplete prescription of guideline medications at discharge were female sex (odds ratio [OR] 2.54, p = 0.007), active or former smoker status (OR 2.29, p = 0.017), multivessel disease (OR 2.07, p = 0.022), left ventricular ejection fraction < 40% (OR 2.49, p = 0.008), and transfer to cardiac surgery (OR 9.66, p = 0.018). At 1 year, age > 65 (OR 1.92, p = 0.036) remained the only significant predictor.
The present study showed a high prescription rate of guideline-recommended medications in a referral center for primary percutaneous coronary intervention. At discharge, women and co-morbid patients were at the highest risk of incomplete prescription of guideline medications, whereas long-term prescription was suboptimal for elderly. A drug lacking at time of discharge was rarely introduced within the year, which underscores the paramount importance of optimal prescription at time of discharge. Strategies like implementing a standardized prescription could reduce the proportion of suboptimal prescription. It could therefore be one way to improve the long-term quality of care of our patients to the highest level. This study used local data from AMIS Plus-National Registry of Acute Myocardial Infarction in Switzerland (NCT01305785).
We used data of 361 patients admitted for STEMI in a tertiary hospital in Switzerland from 2014 to 2016. We assessed the adequacy of prescription of recommended drugs at two time points: discharge and after 1 year. Medications assessed were aspirin, P2Y12 inhibitors, statin, angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs) and β-blockers. We took into account several criteria like statin dosage (low versus high intensity) and presence of contraindication for consideration of optimal therapy. Predictors of incomplete prescription of guideline medications were then assessed with multivariate logistic regression models.
From discharge (n = 358) to 1-year follow-up (n = 303), rate of optimal prescription was reduced from 98.6 to 91.7% for aspirin, from 93.9 to 79.1% for P2Y12 inhibitors, from 83.8 to 65.7% for statins, from 98.6 to 95.6% for ACEIs/ARBs, and from 97.1 to 96.9% for β-blockers. Predictors of incomplete prescription of guideline medications at discharge were female sex (odds ratio [OR] 2.54, p = 0.007), active or former smoker status (OR 2.29, p = 0.017), multivessel disease (OR 2.07, p = 0.022), left ventricular ejection fraction < 40% (OR 2.49, p = 0.008), and transfer to cardiac surgery (OR 9.66, p = 0.018). At 1 year, age > 65 (OR 1.92, p = 0.036) remained the only significant predictor.
The present study showed a high prescription rate of guideline-recommended medications in a referral center for primary percutaneous coronary intervention. At discharge, women and co-morbid patients were at the highest risk of incomplete prescription of guideline medications, whereas long-term prescription was suboptimal for elderly. A drug lacking at time of discharge was rarely introduced within the year, which underscores the paramount importance of optimal prescription at time of discharge. Strategies like implementing a standardized prescription could reduce the proportion of suboptimal prescription. It could therefore be one way to improve the long-term quality of care of our patients to the highest level. This study used local data from AMIS Plus-National Registry of Acute Myocardial Infarction in Switzerland (NCT01305785).
Pubmed
Open Access
Yes
Create date
22/07/2019 18:13
Last modification date
15/01/2021 8:08