36 research outputs found

    Incidence of stroke and mortality due to stroke after acute coronary syndrome

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    Objectives: Stroke is a known complication after myocardial infarction (MI) and it is associated with increased mortality. We aimed to establish the true cumulative incidence of stroke and its subtypes and the associated mortality in a contemporary setting among patients treated for acute coronary syndrome (ACS). Materials and methods: A retrospective registry study based on the data of 8,049 consecutive patients treated for ACS in a sole provider of specialized cardiac and neurologic care for a catchment area of over 0.5 million residents between 2007 and 2018. Incident strokes and their subtypes were identified by in-depth review of written hospital records, hospital discharge registry data and causes of death registry data maintained by Statistics Finland up until December 31st 2020. Results: During a median follow-up of 5.8 years (IQR 3.2-9.0) 570 ACS patients suffered a stroke. The cumulative incidences of stroke for first week, first month, first year and at thirteen years were: 0.8 %, 1.1 %, 2.2 % and 10.3 %. In long-term, patients with different ACS subtypes had similar cumulative incidence of strokes, although the incidence of in-hospital strokes was highest among myocardial infarction patients. Stroke mortality rate was 32.5 % (n=185/570). The majority (88.8 %) of strokes were ischemic with the proportion being most substantial for in-hospital strokes (95.6 %). Conclusions: The risk of stroke among patients treated for ACS and the related mortality are still notable in a contemporary setting. A distinctive majority of strokes following ACS were ischemic especially early on after ACS.publishedVersionPeer reviewe

    Incidence of sudden cardiac arrest and sudden cardiac death after unstable angina pectoris and myocardial infarction

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    BACKGROUND: Sudden cardiac arrests (SCA) and sudden cardiac deaths (SCD) are believed to account for a large proportion of deaths due to cardiovascular causes. The purpose of this study is to provide comprehensive information on the epidemiology of SCAs and SCDs after acute coronary syndrome. METHODS: The incidence of SCA (including SCDs) was studied retrospectively among 10,316 consecutive patients undergoing invasive evaluation for acute coronary syndrome (ACS) between 2007 and 2018 at Tays Heart Hospital (sole provider of specialized cardiac care for a catchment area of over 0.5 million residents). Baseline and follow-up information was collected by combining information from the hospital's electronic health records, death certificate data, and a full-disclosure review of written patient records and accounts of the circumstances leading to death. RESULTS: During twelve years of follow-up, the cumulative incidence of SCAs (including SCDs) was 9.8% (0.8% annually) and that of SCDs 5.4% (0.5% annually). Cumulative incidence of SCAs in patients with ST-elevation myocardial infarction, non-ST-elevation myocardial infarction and unstable angina pectoris were: 11.9%,10.2% and 5.7% at twelve years. SCAs accounted for 30.5% (n = 528/1,732) of all deaths due to cardiovascular causes. The vast majority of SCAs (95.6%) occurred in patients without implantable cardioverter defibrillator (ICD) devices or among patients with no recurrent hospitalizations for coronary artery disease (89.1%). CONCLUSIONS: SCAs accounted for less than a third of all deaths due to cardiovascular causes among patients with previous ACS. Incidence of SCA is highest among STEMI and NSTEMI patients. After the hospital discharge, most of SCAs happen to NSTEMI patients.publishedVersionPeer reviewe

    Cardiorespiratory fitness and heart rate recovery predict sudden cardiac death independent of ejection fraction

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    Objective To evaluate whether cardiorespiratory fitness (CRF) and heart rate recovery (HRR) associate with the risk of sudden cardiac death (SCD) independently of left ventricular ejection fraction (LVEF). Methods The Finnish Cardiovascular Study is a prospective clinical study of patients referred to clinical exercise testing in 2001-2008 and follow-up until December 2013. Patients without pacemakers undergoing first maximal or submaximal exercise testing with cycle ergometer were included (n=3776). CRF in metabolic equivalents (METs) was estimated by achieving maximal work level. HRR was defined as the reduction in heart rate 1 min after maximal exertion. Adjudication of SCD was based on death certificates. LVEF was measured for clinical indications in 71.4% of the patients (n=2697). Results Population mean age was 55.7 years (SD 13.1; 61% men). 98 SCDs were recorded during a median follow-up of 9.1 years (6.9-10.7). Mean CRF and HRR were 7.7 (SD 2.9) METs and 25 (SD 12) beats/min/min. Both CRF and HRR were associated with the risk of SCD in the entire study population (HR(CRF)0.47 (0.37-0.59), p Conclusions CRF and HRR are significantly associated with the risk of SCD regardless of LVEF.Peer reviewe

    Interatrial block and P terminal force in the general population : Longitudinal changes, risk factors and prognosis

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    Background: Partial and advanced interatrial block (IAB) and P terminal force (PTF) in lead V1 are markers of atrial remodeling and risk factors for atrial fibrillation (AF). There is a lack of information about constancy and possible factors influencing the development of these P-wave abnormalities. Methods: The study sample consisted of 6058 Finnish participants (mean age 52.16 ± 14.60 years, 45.0% male) from the general population with an ECG taken in a health examination, and from 3224 of these participants, who had a re-examination 11 years later. Risk factors for incident partial and advanced IAB and PTF were studied using binomial logistic regression analysis, and the prognostic significance of these ECG changes for new AF was studied using time-varying Cox regression analysis. Results: The rate of reversal to normal of the studied ECG parameters were 47.4% for partial IAB, 40.0% for advanced IAB and 79.3% for PTF. Age, male sex, hypertension, higher BMI, higher LDL cholesterol, ECG left ventricular hypertrophy, use of beta blocker, and use of angiotensin-converting enzyme inhibitor or angiotensin II receptor antagonist were independently associated with a risk to develop incident P-wave abnormality. Partial IAB was independently associated with increased AF risk (HR 1.28 [95% CI 1.04–1.58]), as was also advanced IAB (HR 1.72 [95% CI 1.07–2.75]). Conclusion: Traditional cardiovascular risk factors increase the risk of a new P-wave abnormality. Partial and advanced IAB are associated with increased AF risk. Surprisingly, P-wave abnormalities are often reversible during long-term follow-up in the general population.publishedVersionPeer reviewe

    The Association Between Digoxin Use and Long-Term Mortality After Acute Coronary Syndrome

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    Digoxin is used to treat atrial fibrillation and heart failure. Previous studies have reported an association between digoxin and higher mortality, but the results have been conflicting. This study assessed the association between digoxin use and all-cause mortality using comprehensive health data of patients treated for acute coronary syndrome (ACS). This was a retrospective analysis of 8,388 consecutive ACS patients treated in Tays Heart Hospital between 2007 and 2017, with a follow-up until the end of 2018. The adjusted Cox regression model was used to analyze the association between digoxin treatment and all-cause mortality with and without the inverse probability of treatment weighting (IPTW) method. IPTW was applied to estimate the residual confounding by the treatment selection. Clinical phenotype data were collected from various sources, including a prospectively updated online database maintained by physicians. The median follow-up time was 6.0 years (interquartile range 3.5 to 9.0 years). During the follow-up, 30.8% (n = 2,580) of the patients died. Altogether, 4.0% (n = 333) of the patients were treated with digoxin during hospitalization. In the Cox regression model, digoxin associated with increased mortality (age- and sex-adjusted hazard ratio [HR] 1.76 [1.51 to 2.05], p <0.001 and in the full risk factor–adjusted HR 1.23 [1.04 to 1.45], p = 0.016). The IPTW Cox analysis average treatment effect HR was 1.71 (1.12 to 2.62, p = 0.013), standardized average treatment effect HR was 1.35 (0.96 to 1.90, p = 0.082), and treatment effect among the treated HR was 1.32 (1.09 to 1.59, p = 0.004). In conclusion, digoxin treatment during ACS associates with increased mortality, despite adjusting for other risk factors and after accounting for factors explaining the residual confounding by selection bias.Peer reviewe

    Risk Factors for Ischemic Stroke After Acute Coronary Syndrome

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    Background Stroke incidence is elevated after acute coronary syndromes (ACS). The aim of this study was to characterize risk factors related to ischemic stroke (IS) after ACS. Methods and Results We conducted a retrospective registry study based on the data of 8049 consecutive patients treated for ACS between 2007 and 2018 in Tays Heart Hospital with a follow‐up until December 31, 2020. Potential risk factors were identified by in‐depth review of written hospital records and causes‐of‐death registry data maintained by Statistics Finland. The association between individual risk factors, early‐onset IS (0–30 days after ACS, n=82), and late‐onset IS (31 days to 14 years after ACS, n=419) were analyzed using logistic regression and subdistribution hazard analysis. In multivariable analysis, the most substantial risk factors for early‐ and late‐onset IS were previous stroke, atrial fibrillation or flutter, and heart failure status depicted by the Killip classification. Left ventricular ejection fraction and coronary artery disease severity were significant risk factors for early‐onset IS; age and peripheral artery disease were significant risk factors for late‐onset IS. The risk of early‐onset IS with ≥6 CHA2DS2‐VASc score points (odds ratio, 6.63 [95% Cl, 3.63–12.09]; P<0.001) was notable compared with patients with 1 to 3 points as well as the risk of late‐onset IS with ≥6 points (subdistribution hazard, 6.03 [95% Cl, 3.71–9.81]; P<0.001) in comparison with patients with 1 point. Conclusions Factors related to high thromboembolic risk also predict IS risk after ACS. CHA2DS2‐VASc score and its individual components are strong predictors for both early‐ and late‐onset IS
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