scholarly journals Risk-factors associated with extremely high cardiovascular risk of mid- and long-term mortality following myocardial infarction: An analysis of the Hyperlipidaemia Therapy in tERtiary Cardiological cEnTer (TERCET) registry

2021 ◽  
Author(s):  
Krzysztof Dyrbuś ◽  
Mariusz Gąsior ◽  
Piotr Desperak ◽  
Przemysław Trzeciak ◽  
Jolanta Nowak ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Cardiovascular Risk ◽  
High Cardiovascular Risk ◽  
Factors Associated ◽  
Long Term Mortality

Risk Factors for Cardiovascular Disease in Patients Undergoing Peritoneal Dialysis

2007 ◽  
Vol 27 (2_suppl) ◽  
pp. 205-209 ◽  
Author(s):  
Elvia García–López ◽  
Juan J. Carrero ◽  
Mohamed E. Suliman ◽  
Bengt Lindholm ◽  
Peter Stenvinkel
Keyword(s):  
Risk Factors ◽  
Peritoneal Dialysis ◽  
Cardiovascular Risk ◽  
Pressure Control ◽  
High Cardiovascular Risk ◽  
Cardiovascular Research ◽  
Factors Associated ◽  
Glycation End Products ◽  
Anemia Management ◽  
Altered Lipid

Patients on peritoneal dialysis (PD) are at high cardiovascular risk. Although some risk factors are unmodifiable (for example, age, sex, genetics), others are exacerbated in the unfriendly uremic milieu (inflammation, oxidative stress, mineral disturbances) or contribute per se to kidney disease and cardiovascular progression (diabetes mellitus, hypertension). Moreover, several factors associated with PD therapy may both increase (by altered lipid profile, hyperinsulinemia, and formation of advanced glycation end-products) and decrease (by better blood pressure control and anemia management) cardiovascular risk. The present review discusses recent findings and therapy trends in cardiovascular research on the PD population, with emphasis on the roles of inflammation, insulin resistance, homocysteinemia, dyslipidemia, vascular calcification, and genetics/epigenetics.

scholarly journals Risk Factors Associated With Community-Acquired Pneumonia Among Hospitalized Patients: The Impact of Risk Stacking on Long-Term Mortality

2015 ◽  
Vol 2 (suppl_1) ◽  
Author(s):  
Francisco Fernandez ◽  
Alejandro Cane ◽  
Raul Isturiz ◽  
Daniel Curcio ◽  
Mauricio Peralta
Keyword(s):  
Risk Factors ◽  
Community Acquired Pneumonia ◽  
Hospitalized Patients ◽  
Factors Associated ◽  
The Impact ◽  
Long Term Mortality

P3400Definition of extremely high cardiovascular risk in patients after acute myocardial infarction - Data from the TERCET Registry

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K Dyrbus ◽  
M Gasior ◽  
P Desperak ◽  
T Osadnik ◽  
M Banach
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Multivariate Analysis ◽  
Cardiovascular Risk ◽  
High Risk ◽  
Density Lipoprotein ◽  
Cardiovascular Prevention ◽  
Risk Category ◽  
High Cardiovascular Risk

Abstract Background The latest guidelines from the American Association of Clinical Endocrinologists (AACE) and the American College of Endocrinology (ACE) introduced a new “ultra-high risk” category of patients, for whom a low-density lipoprotein cholesterol (LDL-C) level <55 mg/dL (1.4 mmol/L) is advised. Purpose Therefore we aimed at identification of the risk factors in patients after acute myocardial infarction (MI), which increased the risk most, and might help to define the group of individuals at extremely high cardiovascular (CV) risk. Methods We analyzed consecutive patients included in the TERCET Registry admitted to the Polish tertiary cardiovascular centre due to MI between 2006 and 2018. According to the guidelines of the European Society of Cardiology (ESC), all patients included in the analysis are considered as of very high CV risk. All patients included in the registry underwent coronary angiography during the hospital stay. On the basis of multivariate analysis, we determined the subgroup of patients with the most unfavourable 12-month outcome (all-cause mortality). Results Finally, 4,562 patients admitted due to STEMI or NSTEMI and discharged from our centre were included in the analysis. According to the results of multivariate analysis performed with stepwise backward regression model, the following risk factors in patients after MI: LVEF<35% (odds ratio [OR]=3.83, 95% confidence interval [CI]: 3.14–4.67), age>75 years (OR=1.91, 95% CI: 1.55–2.35), lack of PCI of culprit vessel (OR=1.66, 95% CI: 1.26–2.20), multivessel CAD (OR=1.60, 95% CI: 1.30–1.99), atrial fibrillation (OR=1.53, 95% CI: 1.21–1.94), diabetes mellitus (OR=1.34, 95% CI: 1.11–1.64), increased LDL-C level (OR=1.09 per 1 mmol/L, 95% CI: 1.01–1.19) and increased creatinine level (OR=1.04 per 10 μmol/L, 95% CI: 1.04–1.05), might help to define the group of patients at extremely-high cardiovascular risk (all p<0.05). The aggregate summary of risk factors associated with extremely high risk is presented in the attached Figure. Next, the effect of the combination of the aforementioned risk factors will be investigated, and SCORE applied for patients in secondary prevention after MI will be prepared. Multivariate analysis results Conclusions To our knowledge, the presented study is the first such an analysis conducted on the population of patients after myocardial infarction gathered in the registry of secondary cardiovascular prevention. In patients after MI, potential risk factors were identified that might help to define the group of patients at ultra-high/extremely-high risk, what might contribute to significantly higher 12-month mortality. Acknowledgement/Funding None

Impact of Cardiovascular Risk Factors on Long-Term Mortality After Liver Transplantation

2016 ◽  
Vol 23 (2) ◽  
pp. e357-e362 ◽  
Author(s):  
Hoang M. Lai ◽  
Rahul Pawar ◽  
David C. Wolf ◽  
Wilbert S. Aronow
Keyword(s):  
Risk Factors ◽  
Liver Transplantation ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Long Term Mortality

scholarly journals RISK FACTORS FOR LONG-TERM MORTALITY IN VERY ELDERLY AFTER POST-OPERATIVE MYOCARDIAL INFARCTION FOLLOWING HIP FRACTURE SURGERY

2011 ◽  
Vol 57 (14) ◽  
pp. E1038 ◽  
Author(s):  
Bhanu P. Gupta ◽  
Lisa L. Kirkland ◽  
Jeanne M. Huddleston ◽  
Paul M. Huddleston ◽  
M Caroline Burton ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Hip Fracture ◽  
Very Elderly ◽  
Hip Fracture Surgery ◽  
Fracture Surgery ◽  
Long Term Mortality

scholarly journals Disease overarching mechanisms that explain and predict outcome of patients with high cardiovascular risk: rationale and design of the Berlin Long-term Observation of Vascular Events (BeLOVE) study

2019 ◽  
Author(s):  
Bob Siegerink ◽  
Joachim Weber ◽  
Michael Ahmadi ◽  
Kai-Uwe Eckardt ◽  
Frank Edelmann ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
High Risk ◽  
Cardiovascular Events ◽  
Target Organ Damage ◽  
Organ Damage ◽  
High Cardiovascular Risk

AbstractBackgroundCardiovascular disease (CVD) is the leading cause of premature death worldwide. Effective and individualized treatment requires exact knowledge about both risk factors and risk estimation. Most evidence for risk prediction currently comes from population-based studies on first incident cardiovascular events. In contrast, little is known about the relevance of risk factors for the outcome of patients with established CVD or those who are at high risk of CVD, including patients with type 2 diabetes. In addition, most studies focus on individual diseases, whereas less is known about disease overarching risk factors and cross-over risk.AimThe aim of BeLOVE is to improve short- and long-term prediction and mechanistic understanding of cardiovascular disease progression and outcomes in very high-risk patients, both in the acute as well as in the chronic phase, in order to provide the basis for improved, individualized management.Study designBeLOVE is an observational prospective cohort study of patients of both sexes aged >18 in selected Berlin hospitals, who have a high risk of future cardiovascular events, including patients with a history of acute coronary syndrome (ACS), acute stroke (AS), acute heart failure (AHF), acute kidney injury (AKI) or type 2 diabetes with manifest target-organ damage. BeLOVE includes 2 subcohorts: The acute subcohort includes 6500 patients with ACS, AS, AHF, or AKI within 2-8 days after their qualifying event, who undergo a structured interview about medical history as well as blood sample collection. The chronic subcohort includes 6000 patients with ACS, AS, AHF, or AKI 90 days after event, and patients with type 2 diabetes (T2DM) and target-organ damage. These patients undergo a 6-8 hour deep phenotyping program, including detailed clinical phenotyping from a cardiological, neurological and metabolic perspective, questionnaires including patient-reported outcome measures (PROMs)as well as magnetic resonance imaging. Several biological samples are collected (i.e. blood, urine, saliva, stool) with blood samples collected in a fasting state, as well as after a metabolic challenge (either nutritional or cardiopulmonary exercise stress test). Ascertainment of major adverse cardiovascular events (MACE) will be performed in all patients using a combination of active and passive follow-up procedures, such as on-site visits (if applicable), telephone interviews, review of medical charts, and links to local health authorities. Additional phenotyping visits are planned at 2, 5 and 10 years after inclusion into the chronic subcohort.Future perspectiveBeLOVE provides a unique opportunity to study both the short- and long-term disease course of patients at high cardiovascular risk through innovative and extensive deep phenotyping. Moreover, the unique study design provides opportunities for acute and post-acute inclusion and allows us to derive two non-nested yet overlapping sub-cohorts, tailored for upcoming research questions. Thereby, we aim to study disease-overarching research questions, to understand crossover risk, and to find similarities and differences between clinical phenotypes of patients at high cardiovascular risk.

Long Term Effects of Behavioral Intervention, Exercise and Diet in Subjects with High Cardiovascular Risk Factors

2007 ◽  
Vol 39 (Supplement) ◽  
pp. S339
Author(s):  
Magdalena Nájera ◽  
Francisco J. Diaz ◽  
Lucia Rodriguez ◽  
Donald R. Hagan ◽  
Antonio Tovar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Behavioral Intervention ◽  
Long Term Effects ◽  
High Cardiovascular Risk
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