Genetic variation in the KCNMA1 potassium channel α subunit as risk factor for severe essential hypertension and myocardial infarction

2008 ◽  
Vol 26 (11) ◽  
pp. 2147-2153 ◽  
Author(s):  
Marta Tomás ◽  
Esther Vázquez ◽  
José M Fernández-Fernández ◽  
Isaac Subirana ◽  
Cristina Plata ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Genetic Variation ◽  
Risk Factor ◽  
Essential Hypertension ◽  
Potassium Channel ◽  
Α Subunit

THE COURSE OF MYOCARDIAL INFARCTION IN PATIENTS OF YOUNG AGE WITH ARTERIAL HYPERTENSION

2021 ◽  
Vol 2 (5) ◽  
pp. 17-19
Author(s):  
Latif Akhmedov ◽  
Keyword(s):  
Myocardial Infarction ◽  
Risk Factor ◽  
Essential Hypertension ◽  
Cardiovascular Diseases ◽  
Life Expectancy ◽  
Arterial Hypertension ◽  
Young Age ◽  
Main Risk Factor

Arterial hypertension (AH) is the main risk factor (RF) in the development of cardiovascular diseases worldwide. Almost 95% of patients have essential hypertension. In the structure of mortality from various cardiovascular diseases, including AH, 54% is myocardial infarction (MI). Currently, the widespread prevalence of AH and MI among the labor-capable population, early disability, reduced life expectancy, and low adherenceto treatment are of concern.Keywords: arterial hypertension, myocardial infarction, young age, risk factor

Prevalence and prognostic impact of left ventricular systolic dysfunction after acute myocardial infarction

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T.J Jernberg ◽  
E.O Omerovic ◽  
E.H Hamilton ◽  
K.L Lindmark ◽  
L.D Desta ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Myocardial Infarction ◽  
Atrial Fibrillation ◽  
Risk Factor ◽  
Reperfusion Therapy ◽  
Left Ventricular ◽  
Funding Source ◽  
Additional Risk Factor ◽  
Additional Risk

Abstract Background Left ventricular dysfunction after an acute myocardial infarction (MI) is associated with poor outcome. The PARADISE-MI trial is examining whether an angiotensin receptor-neprilysin inhibitor reduces the risk of cardiovascular death or worsening heart failure (HF) in this population. The aim of this study was to examine the prevalence and prognosis of different subsets of post-MI patients in a real-world setting. Additionally, the prognostic importance of some common risk factors used as risk enrichment criteria in the PARADISE-MI trial were specifically examined. Methods In a nationwide myocardial infarction registry (SWEDEHEART), including 87 177 patients with type 1 MI between 2011–2018, 3 subsets of patients were identified in the overall MI cohort (where patients with previous HF were excluded); population 1 (n=27 568 (32%)) with signs of acute HF or an ejection fraction (EF) <50%, population 2 (n=13 038 (15%)) with signs of acute HF or an EF <40%, and population 3 (PARADISE-MI like) (n=11 175 (13%)) with signs of acute HF or an EF <40% and at least one risk factor (Age ≥70, eGFR <60, diabetes mellitus, prior MI, atrial fibrillation, EF <30%, Killip III-IV and STEMI without reperfusion therapy). Results When all MIs, population 1 (HF or EF <50%), 2 (HF or EF <40%) and 3 (HF or EF <40% + additional risk factor (PARADISE-MI like)) were compared, the median (IQR) age increased from 70 (61–79) to 77 (70–84). Also, the proportion of diabetes (22% to 33%), STEMI (38% to 50%), atrial fibrillation (10% to 24%) and Killip-class >2 (1% to 7%) increased. After 3 years of follow-up, the cumulative probability of death or readmission because of heart failure in the overall MI population and in population 1 to 3 was 17.4%, 26.9%, 37.6% and 41.8%, respectively. In population 2, all risk factors were independently associated with death or readmission because of HF (Age ≥70 (HR (95% CI): 1.80 (1.66–1.95)), eGFR <60 (1.62 (1.52–1.74)), diabetes mellitus (1.35 (1.26–1.44)), prior MI (1.16 (1.07–1.25)), atrial fibrillation (1.35 (1.26–1.45)), EF <30% (1.69 (1.58–1.81)), Killip III-IV (1.34 (1.19–1.51)) and STEMI without reperfusion therapy (1.34 (1.21–1.48))) in a multivariable Cox regression analysis. The risk increased with increasing number of risk factors (Figure 1). Conclusion Depending on definition, post MI HF is present in 13–32% of all MI patients and is associated with a high risk of subsequent death or readmission because of HF. The risk increases significantly with every additional risk factor. There is a need to optimize management and improve outcomes for this high risk population. Figure 1 Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Novartis

scholarly journals Incidence and risk factors of delirium after percutaneous coronary intervention in individuals hospitalised for acute myocardial infarction: protocol for a systematic review and meta-analysis

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e044564
Author(s):  
Kaizhuang Huang ◽  
Jiaying Lu ◽  
Yaoli Zhu ◽  
Tao Cheng ◽  
Dahao Du ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Systematic Review ◽  
Acute Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Risk Factor ◽  
Meta Analysis ◽  
Coronary Intervention ◽  
Cochrane Library ◽  
Percutaneous Coronary

IntroductionDelirium in the postoperative period is a wide-reaching problem that affects important clinical outcomes. The incidence and risk factors of delirium in individuals with acute myocardial infarction (AMI) after primary percutaneous coronary intervention (PCI) has not been completely determined and no relevant systematic review and meta-analysis of incidence or risk factors exists. Hence, we aim to conduct a systematic review and meta-analysis to ascertain the incidence and risk factors of delirium among AMI patients undergoing PCI.Methods and analysesWe will undertake a comprehensive literature search among PubMed, EMBASE, Cochrane Library, PsycINFO, CINAHL and Google Scholar from their inception to the search date. Prospective cohort and cross-sectional studies that described the incidence or at least one risk factor of delirium will be eligible for inclusion. The primary outcome will be the incidence of postoperative delirium. The quality of included studies will be assessed using a risk of bias tool for prevalence studies and the Cochrane guidelines. Heterogeneity of the estimates across studies will be assessed. Incidence and risk factors associated with delirium will be extracted. Incidence data will be pooled. Each risk factor reported in the included studies will be recorded together with its statistical significance; narrative and meta-analytical approaches will be employed. The systematic review and meta-analysis will be presented according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.Ethics and disseminationThis proposed systematic review and meta-analysis is based on published data, and thus there is no requirement for ethics approval. The study will provide an up to date and accurate incidence and risk factors of delirium after PCI among patients with AMI, which is necessary for future research in this area. The findings of this study will be disseminated through publication in a peer-reviewed journal.PROSPERO registration numberCRD42020184388.

Long-term effects of an intensive prevention program (IPP) after acute myocardial infarction – the IPP Follow-up and Prevention Boost Trial

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
H Wienbergen ◽  
A Fach ◽  
S Meyer ◽  
J Schmucker ◽  
R Osteresch ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Risk Factor ◽  
Prevention Program ◽  
Study Endpoint ◽  
Funding Source ◽  
Risk Factor Control ◽  
One Year

Abstract Background The effects of an intensive prevention program (IPP) for 12 months following 3-week rehabilitation after myocardial infarction (MI) have been proven by the randomized IPP trial. The present study investigates if the effects of IPP persist one year after termination of the program and if a reintervention after >24 months (“prevention boost”) is effective. Methods In the IPP trial patients were recruited during hospitalization for acute MI and randomly assigned to IPP versus usual care (UC) one month after discharge (after 3-week rehabilitation). IPP was coordinated by non-physician prevention assistants and included intensive group education sessions, telephone calls, telemetric and clinical control of risk factors. Primary study endpoint was the IPP Prevention Score, a sum score evaluating six major risk factors. The score ranges from 0 to 15 points, with a score of 15 points indicating best risk factor control. In the present study the effects of IPP were investigated after 24 months – one year after termination of the program. Thereafter, patients of the IPP study arm with at least one insufficiently controlled risk factor were randomly assigned to a 2-months reintervention (“prevention boost”) vs. no reintervention. Results At long-term follow-up after 24 months, 129 patients of the IPP study arm were compared to 136 patients of the UC study arm. IPP was associated with a significantly better risk factor control compared to UC at 24 months (IPP Prevention Score 10.9±2.3 points in the IPP group vs. 9.4±2.3 points in the UC group, p<0.01). However, in the IPP group a decrease of risk factor control was observed at the 24-months visit compared to the 12-months visit at the end of the prevention program (IPP Prevention Score 10.9±2.3 points at 24 months vs. 11.6±2.2 points at 12 months, p<0.05, Figure 1). A 2-months reintervention (“prevention boost”) was effective to improve risk factor control during long-term course: IPP Prevention Score increased from 10.5±2.1 points to 10.7±1.9 points in the reintervention group, while it decreased from 10.5±2.1 points to 9.7±2.1 points in the group without reintervention (p<0.05 between the groups, Figure 1). Conclusions IPP was associated with a better risk factor control compared to UC during 24 months; however, a deterioration of risk factors after termination of IPP suggests that even a 12-months prevention program is not long enough. The effects of a short reintervention after >24 months (“prevention boost”) indicate the need for prevention concepts that are based on repetitive personal contacts during long-term course after coronary events. Figure 1 Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): Stiftung Bremer Herzen (Bremen Heart Foundation)

scholarly journals Clinical burden, risk factor impact and outcomes following myocardial infarction and stroke: A 25-year individual patient level linkage study

2021 ◽  
pp. 100141
Author(s):  
Anoop S.V. Shah ◽  
Kuan Ken Lee ◽  
Jesús Alberto Rodríguez Pérez ◽  
Desmond Campbell ◽  
Federica Astengo ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Risk Factor ◽  
Linkage Study ◽  
Individual Patient Level ◽  
Patient Level ◽  
Clinical Burden

scholarly journals 642 Psychological Denial is a Risk Factor for All-Cause Unplanned Rehospitalisations Following Acute Myocardial Infarction

2020 ◽  
Vol 29 ◽  
pp. S325-S326
Author(s):  
S. Toukhsati ◽  
A. Jones ◽  
S. Fletcher ◽  
D. Milligan ◽  
J. Kwee ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Risk Factor

Prospective Analysis after Coronary-artery Bypass Grafting: Platelet GP IIIa Polymorphism (HPA-1b /PlA2) Is a Risk Factor for Bypass Occlusion, Myocardial Infarction, and Death

2000 ◽  
Vol 83 (03) ◽  
pp. 404-407 ◽  
Author(s):  
Michael Klein ◽  
Hans Dauben ◽  
Christiane Moser ◽  
Emmeran Gams ◽  
Rüdiger Scharf ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Risk Factor ◽  
Coronary Artery ◽  
Odds Ratio ◽  
Bypass Surgery ◽  
Artery Bypass ◽  
Bypass Grafting ◽  
Hereditary Risk ◽  
Artery Disease

SummaryRecently, we have demonstrated that human platelet antigen 1b (HPA-1b or PlA2) is a hereditary risk factor for platelet thrombogenicity leading to premature myocardial infarction in preexisting coronary artery disease. However, HPA-1b does not represent a risk factor for coronary artery disease itself. The aim of our present study was to evaluate the role of HPA-1b on the outcome in patients after coronaryartery bypass surgery. We prospectively determined the HPA-1 genotype in 261 consecutive patients prior to saphenous-vein coronaryartery bypass grafting. The patients were followed for one year. Among patients with bypass occlusion, myocardial infarction, or death more than 30 days after surgery, the prevalence of HPA-1b was significantly higher than among patients without postoperative complications (60 percent, 6/10, vs. 24 percent, 58/241, p <0.05, odds ratio 4.7). Using a stepwise logistic regression analysis with the variables HPA1b, age, sex, body mass index, smoking (pack-years), hypertension, diabetes, cholesterol and triglyceride concentration, only HPA-1b had a significant association with bypass occlusion, myocardial infarction, or death after bypass surgery (p = 0.019, odds ratio 4.7). This study shows that HPA-1b is a hereditary risk factor for bypass occlusion, myocardial infarction, or death in patients after coronary-artery bypass surgery.

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