Secondary prevention therapies in acute coronary syndrome and relation to outcomes: observational study

Age shock index and age-modified shock index are valuable bedside prognostic tools for postdischarge mortality in ST-elevation myocardial infarction patients

BACKGROUND

The incidence of mortality is considerable after ST-elevation myocardial infarction (STEMI) hospitalization; risk assessment is needed to guide postdischarge management. Age shock index (SI) and age modified shock index (MSI) were described as useful prognosis instruments; nevertheless, their predictive effect on short and long-term postdischarge mortality has not yet been sufficiently confirmed.

METHODS

This analysis included 3389 prospective patients enrolled from 2016 to 2018. Endpoints were postdischarge mortality within 30 days and from 30 days to 1 year. Hazard ratios (HRs) were evaluated by Cox proportional-hazards regression. Predictive performances were assessed by area under the curve (AUC), integrated discrimination improvement (IDI), net reclassification improvement (NRI) and decision curve analysis (DCA) and compared with TIMI risk score and GRACE score.

RESULTS

The AUCs were 0.753, 0.746 for age SI and 0.755, 0.755 for age MSI for short- and long-term postdischarge mortality. No significant AUC differences and NRI were observed compared with the classic scores; decreased IDI was observed especially for long-term postdischarge mortality. Multivariate analysis revealed significantly higher short- and long-term postdischarge mortality for patients with high age SI (HR: 5.44 (2.73-10.85), 5.34(3.18-8.96)), high age MSI (HR: 4.17(1.78-9.79), 5.75(3.20-10.31)) compared to counterparts with low indices. DCA observed comparable clinical usefulness for predicting short-term postdischarge mortality. Furthermore, age SI and age MSI were not significantly associated with postdischarge prognosis for patients who received fibrinolysis.

CONCLUSIONS

Age SI and age MSI were valuable instruments to identify high postdischarge mortality with comparable predictive ability compared with the classic scores, especially for events within 30 days after hospitalization.

Comparing secondary prevention for patients with coronary heart disease and stroke attending Australian general practices: a cross-sectional study using nationwide electronic database

OBJECTIVES

To compare secondary prevention care for patients with coronary heart disease (CHD) and stroke, exploring particularly the influences due to frequency and regularity of primary care visits.

SETTING

Secondary prevention for patients (≥18 years) in the National Prescription Service administrative electronic health record database collated from 458 Australian general practice sites across all states and territories.

DESIGN

Retrospective cross-sectional and panel study. Patient and care-level characteristics were compared for differing CHD/stroke diagnoses. Associations between the type of cardiovascular diagnosis and medication prescription as well as risk factor assessment were examined using multivariable logistic regression.

PARTICIPANTS

Patients with three or more general practice encounters within 2 years of their latest visit during 2016-2020.

OUTCOME MEASURES

Proportions and odds ratios (ORs) for (1) prescription of antihypertensives, antilipidaemics and antiplatelets and (2) assessment of blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C) in patients with stroke only compared against those with CHD only and those with both conditions.

RESULTS

There were 111 892 patients with CHD only, 27 863 with stroke only and 9791 with both conditions. Relative to patients with CHD, patients with stroke were underprescribed antihypertensives (70.8% vs 82.8%), antilipidaemics (63.1% vs 78.7%) and antiplatelets (42.2% vs 45.7%). With sociodemographic factors, comorbidities and level of care considered as covariates, the odds of non-prescription of any recommended secondary prevention medications were higher in patients with stroke only (adjusted OR 1.37; 95% CI (1.31, 1.44)) compared with patients with CHD only. Patients with stroke only were also more likely to have neither BP nor LDL-C monitored (adjusted OR 1.26; 95% CI (1.18, 1.34)). Frequent and regular general practitioner encounters were independently associated with the prescription of secondary prevention medications (p<0.001).

CONCLUSIONS

Secondary prevention management is suboptimal in cardiovascular disease patients and worse post-stroke compared with post-CHD. More frequent and regular primary care encounters were associated with improved secondary prevention.

Patterns of 12-Month Post-Myocardial Infarction Medication Use According to Revascularisation Strategy: Analysis of 15,339 Admissions in Victoria, Australia

AIM

Clinical guidelines recommend secondary prevention medications following myocardial infarction (MI) regardless of revascularisation strategy. Studies suggest that there is variation in post-MI medication use following percutaneous coronary intervention (PCI) and coronary artery bypass grafts (CABG). We investigated initial dispensing and 12-month patterns of medication use according to revascularisation strategy following non-ST-elevation MI (NSTEMI).

METHOD

We included all public and private hospital admissions for NSTEMI for patients aged ≥30 years in Victoria, Australia, between July 2012 and June 2017. We investigated initial dispensing of P2Y12 inhibitors (P2Y12i), statins (total and high intensity), angiotensin-converting-enzyme inhibitors (ACEi)/angiotensin receptor blockers (ARB), and beta blockers within 60 days after discharge. Twelve-month post-MI medication use was estimated as the proportion of days covered (PDC) over a 12-month period from the date of hospital discharge. Analyses were performed using adjusted regression models, stratified by revascularisation strategy.

RESULTS

There were 15,399 admissions for NSTEMI: 11,754 with PCI and 3,645 with CABG. Following adjustments, predicted probability of initial dispensing in the PCI and CABG groups, respectively, was 0.94 (95% confidence interval 0.93-0.95) vs 0.17 (0.13-0.21) for P2Y12i; 0.69 (0.66-0.71) vs 0.42 (0.37-0.48) for ACEi/ARB; 0.59 (0.57-0.62) vs 0.69 (0.64-0.74) for beta blockers; 0.89 (0.87-0.91) vs 0.89 (0.85-0.92) for statins; and 0.60 (0.57-0.62) vs 0.69 (0.63-0.73) for high intensity statins. The 12-month PDC in the PCI and CABG groups, respectively, was 0.82 (0.80-0.83) vs 0.12 (0.09-0.15) for P2Y12i; 0.62 (0.60-0.65) vs 0.43 (0.39-0.48) for ACEi/ARB; 0.53 (0.51-0.55) vs 0.632 (0.58-0.66) for beta blockers; 0.79 (0.78-0.81) vs 0.78 (0.74-0.81) for statins; and 0.49 (0.47-0.51) vs 0.55 (0.50-0.59) for high intensity statins.

CONCLUSIONS

Post-discharge dispensing of secondary prevention medications differed with respect to revascularisation strategy from 2012 to 2017, despite clear evidence of benefit during this period. Interventions may be needed to address possible clinician and patient uncertainty about the benefits of secondary prevention medications, regardless of revascularisation strategy.

Impact of controlled blood pressure and pulse rate at discharge on clinical outcomes in patients with ST-segment elevation myocardial infarction

BACKGROUND

Although major guidelines recommend the routine introduction of angiotensin-converting enzyme (ACE) inhibitors/angiotensin receptor blockers (ARBs) and beta-blockers for patients with ST-segment elevation myocardial infarction (STEMI), evidence regarding the target blood pressure (BP) or pulse rate (PR) at hospital discharge is sparse. This retrospective study aimed to compare the clinical outcomes in patients with STEMI between those with good BP and PR control and those with poor BP or PR control.

METHODS

We included 748 patients with STEMI who received both ACE inhibitors/ARBs and beta-blockers at hospital discharge, and divided them into a good control group (systolic BP ≤140 mmHg and PR ≤80 bpm, n = 564) and a poor control group (systolic BP >140 mmHg or PR >80 bpm, n = 184). The primary endpoint was major cardiovascular events (MACE) defined as the composite of all-cause death, non-fatal myocardial infarction, and re-admission for heart failure.

RESULTS

During the median follow-up duration of 568 days, a total of 119 MACE were observed. The Kaplan-Meier curves showed that MACE were more frequently observed in the poor control group (p = 0.009). In the multivariate Cox hazard analysis, the good control group was inversely associated with MACE (HR 0.656, 95 % CI: 0.444-0.968, p = 0.034) after controlling for multiple confounding factors.

CONCLUSIONS

The good control of systolic BP and PR at discharge was inversely associated with long-term adverse events in STEMI patients treated with both ACE inhibitors/ARBs and beta blockers. This study suggests the importance of titration of ACE inhibitors/ARBs and beta-blockers for better clinical outcomes in patients with STEMI.

Use of secondary prevention medications in metropolitan and non-metropolitan areas: an analysis of 41,925 myocardial infarctions in Australia

BACKGROUND

People in remote areas may have more difficulty accessing healthcare following myocardial infarction (MI) than people in metropolitan areas. We determined whether remoteness was associated with initial and 12-month use of secondary prevention medications following MI in Victoria, Australia.

METHOD

We included all people alive at least 90 days post-discharge following MI between July 2012 and June 2017 in Victoria, Australia (n=41,925). We investigated dispensing of P2Y12 inhibitors (P2Y12i), statins, ACE-inhibitors or angiotensin receptor blockers (ACEI/ARBs), and beta-blockers within 90 days post-discharge. We estimated 12-month medication use using proportion of days covered (PDC). Remoteness was determined using the Accessibility/Remoteness Index of Australia (ARIA). Data were analyzed using adjusted parametric regression models stratified by STEMI and NSTEMI.

RESULTS

There were 10,819 STEMI admissions and 31,106 NSTEMI admissions. Following adjustment across NSTEMI and STEMI, there were no medication classes dispensed in the 90-days post-discharge that differed in a clinically significant way from the least remote (ARIA=0) to the most remote (ARIA=4.8) areas. The largest difference for NSTEMI were ACEi/ARB, with 71%(95%CI 70-72%) versus 80%(76%-83%). For STEMI, it was statins with 89%(88-90%) versus 95%(91-97%). Predicted PDC for STEMI and NSTEMI were not clinically significant across remoteness, with the largest difference in NSTEMI being P2Y12i with 48%(47-50%) versus 55%(51-59%), and in STEMI it was ACEi/ARB with 68%(67-69%) versus 76%(70-80%).

CONCLUSION

Remoteness does not appear to be a clinically significant driver for medication use following MI. Possible differences in cardiovascular outcomes in metropolitan and non-metropolitan areas are not likely to be explained by access to secondary prevention medications.

Initial Implementation of the My Heart, My Life Program by the National Heart Foundation of Australia: Pilot Mixed Methods Evaluation Study

BACKGROUND

Coronary heart disease (CHD) remains the leading cause of death in Australia, with a high residual risk of repeat events in survivors. Secondary prevention therapy is crucial for reducing the risk of both death and other major adverse cardiac events. The National Heart Foundation of Australia has developed a consumer-facing support program called My Heart, My Life (MHML) to address the gap in the secondary prevention of CHD in Australia. The MHML pilot program supplies advice and support for both patients and their caregivers, and it was conducted over 8 months from November 2019 to June 2020.

OBJECTIVE

This study aims to describe and examine the implementation of a novel multimodality secondary CHD prevention pilot program called MHML, which was delivered through booklets, text messages, emails, and telephone calls.

METHODS

This pilot study consists of a mixed methods evaluation involving surveys of participants (patients and caregivers) and health professionals, in-depth interviews, and digital communication (SMS text message, electronic direct mail, and call record analytics). This study was performed in people older than 18 years with acute coronary syndrome or angina and their caregivers in 38 Australian hospitals from November 2019 to June 2020 through the National Heart Foundation of Australia web page. The main outcome measures were reach, accessibility, feasibility, barriers, and enablers to implementation of this program.

RESULTS

Of the 1004 participants (838 patients and 164 caregivers; 2 missing), 60.9% (608/1001) were males, 50.7% (491/967) were aged between 45 and 64 years, 27.4% (276/1004) were from disadvantaged areas, 2.5% (24/946) were from Aboriginal or Torres Strait Islander background, and 16.9% (170/1004) reported English as their second language. The participants (patients and their caregivers) and health professionals reported high satisfaction with the MHML program (55/62, 88.7% and 33/38, 87%, respectively). Of the 62 participants who took the survey, 88% (55/62) used the text messaging service and reported a very high level of satisfaction. Approximately 94% (58/62) and 89% (55/62) of the participants were satisfied with the quick guide booklets 1 and 2, respectively; 79% (49/62) were satisfied with the monthly email journey and 71% (44/62) were satisfied with the helpline calls. Most participants reported that the MHML program improved preventive behaviors, that is, 73% (45/62) of them reported that they maintained increased physical activity and 84% (52/62) reported that they maintained a healthy diet even after the MHML program.

CONCLUSIONS

The findings of our pilot study suggest that a multimodal support program, including digital, print, phone, and web-based media, for the secondary prevention of CHD is useful and could be a potential means of providing customized at-scale secondary prevention support for survivors of acute coronary syndrome.

Long-term effects of e-Health secondary prevention on cardiovascular health: a systematic review and meta-analysis

AIMS

Despite the well-documented short-to-medium-term effectiveness of e-Health (electronic health) secondary prevention interventions on patients with cardiovascular disease (CVD), there is limited empirical evidence regarding long-term effectiveness. This review aims to evaluate the long-term effects of e-Health secondary prevention interventions on the health outcomes of patients with CVD.

METHODS AND RESULTS

This systematic review and meta-analysis followed Cochrane Handbook for Systematic Reviews of Interventions. EMBASE, Medline, Web of Science, and Scopus were searched from 1990 to May 2022. Randomized controlled trials investigating the effects of e-Health secondary prevention on health outcomes of CVD patients that collected endpoint data at ≥ 12 months were included. RevMan 5.3 was used for risk of bias assessment and meta-analysis. Ten trials with 1559 participants were included. Data pooling suggested that e-Health programmes have significantly reduced LDL cholesterol [n = 6; SMD = -0.26, 95% confidence interval (CI): (-0.38, -0.14), I2 = 17%, P < 0.001]; systolic blood pressure [n = 5; SMD = -0.46, 95% CI: (-0.84, -0.08), I2 = 90%, P = 0.02]; and re-hospitalization, reoccurrence, and mortality [risk ratio = 0.36, 95% CI: (0.17, 0.77), I2 = 0%, P = 0.009]. Effects on behavioural modification, physiological outcomes of body weight and blood glucose, and quality of life were inconclusive.

CONCLUSION

e-Health secondary prevention is effective in improving long-term management of risk factors and reducing the reoccurrence of cardiac events in patients with CVD. Results are inconclusive for behaviour modification and quality of life. Exploring, implementing, and strengthening strategies in e-Health secondary prevention programmes that focus on maintaining behaviour changes and enhancing psychosocial elements should be undertaken.

REGISTRATION

PROSPERO CRD42022300551.

Development and validation of dynamic models to predict postdischarge mortality risk in patients with acute myocardial infarction: results from China Acute Myocardial Infarction Registry

OBJECTIVES

The risk of adverse events and prognostic factors are changing in different time phases after acute myocardial infarction (AMI). The incidence of adverse events is considerable in the early period after AMI hospitalisation. Therefore, dynamic risk prediction is needed to guide postdischarge management of AMI. This study aimed to develop a dynamic risk prediction instrument for patients following AMI.

DESIGN

A retrospective analysis of a prospective cohort.

SETTING

108 hospitals in China.

PARTICIPANTS

A total of 23 887 patients after AMI in the China Acute Myocardial Infarction Registry were included in this analysis.

PRIMARY OUTCOME MEASURES

All-cause mortality.

RESULTS

In multivariable analyses, age, prior stroke, heart rate, Killip class, left ventricular ejection fraction (LVEF), in-hospital percutaneous coronary intervention (PCI), recurrent myocardial ischaemia, recurrent myocardial infarction, heart failure (HF) during hospitalisation, antiplatelet therapy and statins at discharge were independently associated with 30-day mortality. Variables related to mortality between 30 days and 2 years included age, prior renal dysfunction, history of HF, AMI classification, heart rate, Killip class, haemoglobin, LVEF, in-hospital PCI, HF during hospitalisation, HF worsening within 30 days after discharge, antiplatelet therapy, β blocker and statin use within 30 days after discharge. The inclusion of adverse events and medications significantly improved the predictive performance of models without these indexes (likelihood ratio test p<0.0001). These two sets of predictors were used to establish dynamic prognostic nomograms for predicting mortality in patients with AMI. The C indexes of 30-day and 2-year prognostic nomograms were 0.85 (95% CI 0.83-0.88) and 0.83 (95% CI 0.81-0.84) in derivation cohort, and 0.79 (95% CI 0.71-0.86) and 0.81 (95% CI 0.79-0.84) in validation cohort, with satisfactory calibration.

CONCLUSIONS

We established dynamic risk prediction models incorporating adverse event and medications. The nomograms may be useful instruments to help prospective risk assessment and management of AMI.

TRIAL REGISTRATION NUMBER

NCT01874691.

Uptake of prescription smoking cessation pharmacotherapies after hospitalization for major cardiovascular disease

AIMS

We determined the prevalence of prescription smoking cessation pharmacotherapy (SCP) use after hospitalization for major cardiovascular disease (MCD) among people who smoke and whether this varies by sex.

METHODS AND RESULTS

We conducted a population-based cohort study including all people hospitalized in New South Wales, Australia, between July 2013 and December 2018 (2017 for private hospitals) with an MCD diagnosis. For patients who also had a diagnosis of current tobacco use, we used linked pharmaceutical dispensing records to identify prescription SCP dispensings within 90 days post-discharge. We determined the proportion who were dispensed an SCP within 90 days, overall and by type of SCP. We used logistic regression to estimate the odds of females being dispensed an SCP relative to males. Of the 150 758 patients hospitalized for an MCD, 20 162 (13.4%) had a current tobacco use diagnosis, 31% of whom were female. Of these, 11.3% (12.4% of females, 10.9% of males) received prescription SCP within 90 days post-discharge; 3.0% were dispensed varenicline, and 8.3% were dispensed nicotine replacement therapy patches. Females were more likely than males to be dispensed a prescription SCP [odds ratio (OR) 1.16, 95% confidence interval (CI) 1.06-1.27)]; however, this was not maintained after adjusting for potential confounders (adjusted OR 1.04, 95% CI 0.94-1.15).

CONCLUSION

Very few females and males who smoke use prescription SCPs after hospitalization for an MCD. The use of varenicline, the SCP with the highest efficacy, was particularly low. This represents a missed opportunity to increase smoking cessation in this high-risk population, thereby reducing their risk of recurrent cardiovascular events.

Nurses' perspectives on the barriers to and facilitators of the implementation of secondary prevention for people with coronary heart disease: a qualitative descriptive study

OBJECTIVES

To identify the barriers to and facilitators of secondary prevention among people with coronary heart disease from the perspectives of nurses.

DESIGN

A qualitative descriptive design using face-to-face semistructured interviews.

SETTING

This study was conducted in China from October to November 2021.

PARTICIPANTS

Registered nurses who had experience conducting secondary prevention for coronary heart disease were purposively recruited. Twelve nurses from 10 hospitals participated in this study. The data were analysed using content analysis based on the Theoretical Domains Framework.

RESULTS

Based on the Theoretical Domains Framework, barriers to and facilitators of secondary prevention were identified within four key themes: nurse attributes (eg, knowledge and skills, motivation), patient characteristics (eg, age, education and economic conditions), the environmental context and resources (eg, organisational support, including financial support, clarity of responsibilities) and social influence (eg, economic development level, patient feedback).

CONCLUSIONS

This research highlights the importance of nurses' motivation for delivering preventive care. Organisations should provide adequate support and establish a quality management system to maintain the quality of secondary prevention.

Optimal Medical Therapy for Secondary Prevention of Acute Coronary Syndrome: A Retrospective Study from a Tertiary Hospital in Sudan

Background

Five-medication regimen is recommended for patients after acute coronary syndrome (ACS) as a secondary prevention strategy at discharge to reduce recurrence and improve mortality.

Objective

This study aimed to assess prescribing of optimal medical therapy (OMT) as five-medication regimens for secondary prevention at discharge after ACS in Sudan.

Methods

A retrospective cohort study was performed at a tertiary hospital located in Wad Medani, Sudan, in the period between January and December 2019. Data were collected from patients' files. OMT was defined as a combination of five medications; aspirin and P2Y12 inhibitors, statins, beta-blockers (BBs), and angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs) or if a valid contraindication was documented.

Results

Of the 619 patients throughout the study period, 591 were selected based on inclusion and exclusion criteria. The median age of patients was 60 years, and 58.9% of patients were male. Diabetes (44.5%) and hypertension (42%) were the most common risk factors. Most patients (58.4%) were diagnosed with ST-segment elevation myocardial infarction. About 99.7% of patients were on aspirin, 99.5% on statins, 97% on clopidogrel, 96.8% on dual antiplatelet therapy, 70.4% on BBs, and 57.9% on ACEIs/ARBs. OMT for secondary prevention was prescribed to 267 (45.2%) patients with ACS at discharge.

Conclusion

Although prescriptions for all five guideline-recommended medications after ACS were suboptimal, the study showed a positive trend in prescribing most individual medications.

Thirty-day outcomes and predictors of mortality following acute myocardial infarction in northern Tanzania: A prospective observational cohort study

OBJECTIVE

There is a rising burden of myocardial infarction (MI) within sub-Saharan Africa. Prospective studies of detailed MI outcomes in the region are lacking.

METHODS

Adult patients with confirmed MI from a prospective surveillance study in northern Tanzania were enrolled in a longitudinal cohort study after baseline health history, medication use, and sociodemographic data were obtained. Thirty days following hospital presentation, symptom status, rehospitalizations, medication use, and mortality were assessed via telephone or in-person interviews using a standardized follow-up questionnaire. Multivariate logistic regression was performed to identify baseline predictors of thirty-day mortality.

RESULTS

Thirty-day follow-up was achieved for 150 (98.7%) of 152 enrolled participants. Of these, 85 (56.7%) survived to thirty-day follow-up. Of the surviving participants, 71 (83.5%) reported persistent anginal symptoms, four (4.7%) reported taking aspirin regularly, seven (8.2%) were able to identify MI as the reason for their hospitalization, and 17 (20.0%) had unscheduled rehospitalizations. Self-reported history of diabetes at baseline (OR 0.32, 95% CI 0.10-0.89, p = 0.04), self-reported history of hypertension at baseline (OR 0.34, 95% CI 0.15-0.74, p = 0.01), and antiplatelet use at initial presentation (OR 0.19, 95% CI 0.04-0.65, p = 0.02) were all associated with lower odds of thirty-day mortality.

CONCLUSIONS

In northern Tanzania, thirty-day outcomes following acute MI are poor, and mortality is associated with self-awareness of comorbidities and medication usage. Further investigation is needed to develop interventions to improve care and outcomes of MI in Tanzania.

In patients with stable coronary heart disease, low-density lipoprotein-cholesterol levels < 70 mg/dL and glycosylated hemoglobin A1c < 7% are associated with lower major cardiovascular events

BACKGROUND

In patients with stable coronary heart disease, it is not known whether achievement of standard of care (SOC) targets in addition to evidence-based medicine (EBM) is associated with lower major adverse cardiovascular events (MACE): cardiovascular death, myocardial infarction, and stroke.

METHODS

EBM use was recommended in the STabilisation of Atherosclerotic plaque By Initiation of darapLadIb TherapY trial. SOC targets were blood pressure (BP) <140/90 mm Hg and low-density lipoprotein-cholesterol (LDL-C) <100 mg/dL and <70 mg/dL. In patients with diabetes, glycosylated hemoglobin A1c (HbA1c) < 7% and BP of <130/80 mm Hg were recommended. Feedback to investigators about rates of EBM and SOC was provided regularly.

RESULTS

In 13,623 patients, 1-year landmark analysis assessed the association between EBM, SOC targets, and MACE during follow-up of 2.7 years (median) after adjustment in a Cox proportional hazards model. At 1 year, aspirin was prescribed in 92.5% of patients, statins in 97.2%, β-blockers in 79.0%, and angiotensin-converting enzyme inhibitors/angiotensin-II receptor blockers in 76.9%. MACE was lower with LDL-C < 100 mg/dL (70-99 mg/dL) compared with LDL-C ≥ 100 mg/dL (hazard ratio [HR] 0.694, 95% CI 0.594-0.811) and lower with LDL-C < 70 mg/dL compared with LDL-C < 100 mg/dL (70-99 mg/dL) (HR 0.834, 95% CI 0.708-0.983). MACE was lower with HbA1c < 7% compared with HbA1c ≥ 7% (HR 0.705, 95% CI 0.573-0.866). There was no effect of BP targets on MACE.

CONCLUSIONS

MACE was lower with LDL-C < 100 mg/dL (70-99 mg/dL) and even lower with LDL-C < 70 mg/dL. MACE in patients with diabetes was lower with HbA1c < 7%. Achievement of targets is associated with improved patient outcomes.

Poor adherence to beta-blockers is associated with increased long-term mortality even beyond the first year after an acute coronary syndrome event

Background: Acute coronary syndrome (ACS) patients are widely treated with long-term beta-blocker therapy after cardiac event. Especially for low-risk patients, the benefits of beta-blockers on survival and the optimal therapy duration remain unclear. We investigated the effect of adherence to beta-blockers on long-term survival of ACS patients.Methods and results: A total of 1855 consecutive ACS patients who underwent angiography and survived 30 days after were followed for a median of 8.6 years. During follow-up, 30.1% (n = 558) of patients died. Adherence was assessed as yearly periods covered by medication purchases and investigated as a dynamic time-dependent variable in Cox proportional hazards models. In a univariable model, non-adherence to beta-blockers was associated with higher all-cause mortality (Hazard ratio [HR] 2.99, 95% confidence interval [CI] 2.50-3.57; p < .001). Results were similar in multivariable models on both overall survival (HR 1.84, 95% CI 1.51-2.24; p < .001) and on 1-year landmark survival (HR 1.74, 95% CI 1.41-2.14; p < .001). In subgroup analyses, the increase in all-cause mortality was consistent among low-risk patients (HR 1.60, 95% CI 1.16-2.21; p = .004).Conclusion: Poor adherence to beta-blockers is associated with increased long-term mortality among ACS patients. Even low-risk patients seem to benefit from long-term beta-blocker therapy.Key messagesAdherence to secondary prevention medications diminishes drastically over the years after an ACS event.Non-adherence to β-blockers is associated with increased long-term mortality of ACS patients, and the effect on survival extends beyond the first year after an ACS event.Our follow-up was exceptionally lengthy with median follow-up period of 8.6 years.