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 ◽  
...  

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

2018 ◽  
Vol 5 (5) ◽  
pp. 1138
Author(s):  
Jella Ramdas ◽  
Vasantha Jella

Background: Acute myocardial infarction is one of the very common ailments, that quite often ends in mortality. The risk factors for AMI has been identified as smoking, alcoholism, high cholesterol, obesity, left ventricular hypertrophy, high triglyceride levels and diabetes mellitus. This study was done to evaluate diabetes as a risk factor for the incidence of acute myocardial infarction in our area.Methods: Demographic details such as age, sex, height, weight, BMI, blood pressure, details of alcoholism or smoking were taken. Physical examination was conducted for all the patients. Previous clinical and medical history was taken for all the patients. The predictors for calculation of 10 years risk factor for SCORE were age, sex, smoking, cholesterol and triglyceride levels and blood pressure.Results: The mean age of the males was 66.1±2.7 and women was 68.8±4.9. 27.3% of the males and 29.4% of the females were obese while 34.6% of males and 32.4% of females were overweight. The mean random blood sugar among the diabetic patients was around 143.5 mg/dL, and in the non-diabetics it was 84.4mg/dL. Out of the 48 diabetic patients, 32 of them (66.7%) had a previous history of MI while in non-diabetes, 53.7% had a previous MI attack.Conclusions: It is essential for the early detection of diabetes and control of the sugar levels, so as to reduce the risk of cardiovascular ailments, since diabetes is one of the independent risk factors.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
H Wienbergen ◽  
A Fach ◽  
S Meyer ◽  
J Schmucker ◽  
R Osteresch ◽  
...  

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)


2019 ◽  
Vol 147 ◽  
Author(s):  
S. Dirmesropian ◽  
B. Liu ◽  
J. G. Wood ◽  
C. R. MacIntyre ◽  
P. McIntyre ◽  
...  

AbstractCommunity-acquired pneumonia (CAP) results in substantial numbers of hospitalisations and deaths in older adults. There are known lifestyle and medical risk factors for pneumococcal disease but the magnitude of the additional risk is not well quantified in Australia. We used a large population-based prospective cohort study of older adults in the state of New South Wales (45 and Up Study) linked to cause-specific hospitalisations, disease notifications and death registrations from 2006 to 2015. We estimated the age-specific incidence of CAP hospitalisation (ICD-10 J12-18), invasive pneumococcal disease (IPD) notification and presumptive non-invasive pneumococcal CAP hospitalisation (J13 + J18.1, excluding IPD), comparing those with at least one risk factor to those with no risk factors. The hospitalised case-fatality rate (CFR) included deaths in a 30-day window after hospitalisation. Among 266 951 participants followed for 1 850 000 person-years there were 8747 first hospitalisations for CAP, 157 IPD notifications and 305 non-invasive pneumococcal CAP hospitalisations. In persons 65–84 years, 54.7% had at least one identified risk factor, increasing to 57.0% in those ⩾85 years. The incidence of CAP hospitalisation in those ⩾65 years with at least one risk factor was twofold higher than in those without risk factors, 1091/100 000 (95% confidence interval (CI) 1060–1122) compared with 522/100 000 (95% CI 501–545) and IPD in equivalent groups was almost threefold higher (18.40/100 000 (95% CI 14.61–22.87) vs. 6.82/100 000 (95% CI 4.56–9.79)). The CFR increased with age but there were limited difference by risk status, except in those aged 45 to 64 years. Adults ⩾65 years with at least one risk factor have much higher rates of CAP and IPD suggesting that additional risk factor-based vaccination strategies may be cost-effective.


Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 528-528
Author(s):  
James D. Douketis ◽  
Karin Arneklev ◽  
Samuel Goldhaber ◽  
John Spandorfer ◽  
Frank Halperin ◽  
...  

Abstract Background: Ximelagatran is a novel oral direct thrombin inhibitor that is as effective as warfarin in preventing stroke and other thromboembolic complications in patients with nonvalvular atrial fibrillation (AF). Risk factors for bleeding with warfarin are known, but risk factors for bleeding with ximelagatran have not been described. Unlike warfarin, ximelagatran has a predictable anticoagulant effect, does not require anticoagulation monitoring, has a low potential for interactions with drugs, food, or alcohol, and is not affected by genetic polymorphisms. We undertook an exploratory analysis of a large patient database to identify conventional and novel risk factors for bleeding in ximelagatran-treated patients, in warfarin-treated patients, and in all patients, irrespective of treatment. Methods: We undertook a pooled analysis of the SPORTIF III and V trials trials, which included 7329 patients with nonvalvular AF who received oral ximelagatran, 36 mg twice daily, or warfarin, administered to achieve a target international normalized ratio of 2.0–3.0. Patients had nonvalvular AF and 1 or more risk factors for stroke: hypertension; age ≥75 years; previous stroke, transient ischemic attack (TIA) or systemic embolism; left ventricular dysfunction; age ≥65 years and coronary artery disease; or age ≥65 years and diabetes mellitus. Major exclusion criteria were: mitral stenosis; previous heart valve surgery; transient AF; increased risk for bleeding. Multivariate logistic regression analysis was used to identify independent risk factors for major bleeding. The hazard ratio (HR) for major bleeding, and corresponding 95% confidence interval (CI), was calculated for each variable in the regression model. Results: The Table presents risk factors in which there was a significant or a non-significant (NS) association with major bleeding in ximelagatran-treated or warfarin-treated patients, and in the combined patient population. Risk factor Ximelagatran-treated patients, HR (95% CI) Warfarin-treated patients, HR (95% CI) Combined patient population, HR (95% CI) Aspirin use 1.65 (1.07, 2.55) 2.40 (1.69, 3.42) 1.96 (1.49, 2.58) Increasing age 1.03 (1.01, 1.05) 1.06 (1.03, 1.08) 1.04 (1.03, 1.06) Prior liver disease NS 4.96 (1.57, 15.62) NS Prior stroke or TIA 1.78 (1.16, 2.73) NS NS Diabetes mellitus 1.80 (1.18, 2.75) NS 1.39 (1.05, 1.86) Asian race NS NS 1.99 (1.16, 3.42) Statin use 0.62 (0.39, 0.97) 0.61 (0.42, 0.88) 0.62 (0.39, 0.97) Conclusions: Overall, the bleeding risk was lower with ximelagatran compared with warfarin. Aspirin use and increasing age were associated with an increased risk of bleeding in both ximelagatran- and warfarin-treated patients. Statin use was associated with a decreased risk for bleeding in both groups.


2011 ◽  
Vol 2 (4) ◽  
pp. 222-225
Author(s):  
Marisa Hans ◽  
Júlia Valéria De Oliveira Vargas Bitencourt ◽  
Flaviana Pinheiro

Estudo quantitativo que tem por objetivo analisar a presença de fatores de risco de úlceras de pressão (UPs), adicionais à Braden, com 134 clientes internados no CTI do Hospital Mãe de Deus, em maio/ junho de 2010 com aprovação dos comitês institucionais: 39/2010; 353/10. Realizou-se coleta de informações do prontuário dos clientes, com instrumento estruturado. Dos 134 clientes, 43 desenvolveram UP, com fator de risco adicional à Braden: infecção, sepse, corticoides, noradrenalina, ventilação mecânica, edema, diabetes mellitus, insuficiência respiratória aguda, doenças inflamatórias, respectivamente com um p <0,001 e neoplasias e doenças imunossupressoras com p <0,05, assim, com significância estatística. Entretanto, sem possibilidade de comparação significativa, considerando o reduzido quantitativo de estudos, tratando da problemática. Portanto, na avaliação do risco das UPs devem ser agregados outros fatores, visando a otimização das medidas de prevenção e qualificação assistencial, além de haver mais estudos permitindo a comparação.Descritores: Úlcera de Pressão, Escala de Braden, Prevenção.Additional risk factors related to Braden Scale: a risk for pressure ulcersThis is a quantitative study that aims to analyze the presence of risk factors for pressure ulcers (UPs), in addition to Braden, with 134 clients admitted to the ICU of the Mother of God Hospital in May / June 2010 with the approval of institutional committees: 39 / 2010, 353/10. We carried out data collection from medical records of clients with structured instrument. Of the 134 clients, 43 developed UP, with the additional risk factor Braden: infection, sepsis, corticosteroids, noradrenaline, mechanical ventilation, edema, diabetes mellitus, acute respiratory failure, inflammatory diseases, respectively with p <0.001 and immunosuppressive diseases and cancers p <0.05, thus statistically significant. However, without the possibility of meaningful comparison, considering the small quantity of studies, dealing with the problem. Therefore, the risk assessment of UPs must be added other factors in optimizing the prevention and care skills, and be more studies allowing the comparison.Descriptors: Pressure Ulcers, Braden Scale, Prevention.Factores de riesgo adicionales a la escala Braden: un riesgo para las úlceras por presiónSe trata de um estudio cuantitativo que tiene por objectivo analizar la presencia de factores de riesgo de úlceras por presión (UP), además de Braden, con 134 pacientes admitidos a la UCI del Hospital de la Madre de Dios en mayo / junio de 2010 con la aprobación de los comités institucionales: 39 / 2010, 353/10. Se llevó a cabo la recopilación de datos de los registros médicos de los clientes con instrumentos estructurados. De los 134 clientes, 43 desarrollaron UP, con la Braden factores de riesgo adicionales: infección, sepsis, los corticosteroides, la noradrenalina, la ventilación mecánica, edema, diabetes mellitus, insuficiencia respiratoria aguda, enfermedades inflamatorias, respectivamente, con p enfermedades <0,001 e inmunosupresores y cánceres p <0,05, por lo tanto estadísticamente significativa. Sin embargo, sin la posibilidad de comparación significativa, considerando la pequeña cantidad de estudios, para tratar el problema. Por lo tanto, la evaluación del riesgo de UPS hay que añadir otros factores en la optimización de la prevención y técnicas de atención y ser más estudios que permitan la comparación.Descriptores: Las úlceras por Presión, Escala de Braden, La Prevención.


2021 ◽  
Vol 331 ◽  
pp. e196
Author(s):  
O. Germanova ◽  
Y. Shchukin ◽  
V. Germanov ◽  
A. Germanov ◽  
G. Galati

2017 ◽  
Vol 24 (10) ◽  
pp. 1484-1488
Author(s):  
Muhammad Adnan Sarwar ◽  
Huma Muzaffar ◽  
Shakeel Ahmad

Objectives: To determine the frequency of different risk factors among patientsof stroke due to cerebral infarction. Study Design: Descriptive cross sectional survey. Setting:Punjab Medical College and affiliated hospitals (Allied Hospital and DHQ), Faisalabad. Durationwith Dates: Six months from June 2006 to November 2006. Methods: This was a crosssectional survey that included 195 patients with stroke due to cerebral infarction. The mainoutcome variable was frequency of different risk factors which were described as frequencydistribution table. Results: Hypertension was seen among 142 (73%) patients, followed bydiabetes mellitus in 83 42.5% patients, ischemic heart disease in 74 (38%) patients, smokingin 59 (30.3%) patients, obesity in 53(27%) patients, atrial fibrillation in 43 (22%) patients anddyslipidemia in 23 (11.8%). Conclusion: Hypertension is the most common risk factor followedby diabetes mellitus associated with stroke due to cerebral infarction.


Sign in / Sign up

Export Citation Format

Share Document