Mo1940 Predicting Cardiovascular Complications After Liver Transplantation: A Role for Pretransplant Cardiovascular Risk Scores

2012 ◽  
Vol 142 (5) ◽  
pp. S-1005
Author(s):  
Mazen Albeldawi ◽  
Vedant Gupta ◽  
Gurshawn Singh ◽  
Paresh P. Mehta ◽  
Rocio Lopez ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Cardiovascular Risk ◽  
Cardiovascular Complications ◽  
Risk Scores

Correlation of Glycemic Control Parameters in Non-Diabetic Persons with Cardiovascular Risk Scores - Results from a Cross- Sectional Study

2017 ◽  
Vol 68 (1) ◽  
pp. 108-110
Author(s):  
Gina Botnariu ◽  
Norina Forna ◽  
Alina Popa ◽  
Raluca Popescu ◽  
Alina Onofriescu ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Glycemic Control ◽  
Tolerance Test ◽  
Cross Sectional Study ◽  
Risk Scores ◽  
Oral Glucose ◽  
Cross Sectional ◽  
University Of Edinburgh ◽  
Fasting Glycaemia ◽  
The University

To assess the correlation between main parameters of glycemic control and cardiovascular risk scores in non-diabetic persons. Risk scores were calculated by using the University of Edinburgh Risk Calculator. Risk scores are used to estimate the probability of cardiovascular disease in individuals who have not already developed major atherosclerotic disease. We correlated the results of these scores with the parameters that describes the glycaemic profile: preprandial glicaemia, HbA1c and 1 hour and 2 h post-prandial glycaemia, determined during Oral Glucose Tolerance Test (OGTT).Both fasting glycaemia and HbA1c significantly correlated with cardiovascular risk scores calculated for a period of 10 years. The recorded post-prandial glycaemic values at 1h and 2h after glucose loading didn�t significantly correlate with calculated scores, in the study group. The observed correlations underline the importance of glycaemia in the pathogenesis of cardiovascular diseases.

scholarly journals Tailored Prediction Model of Survival after Liver Transplantation for Hepatocellular Carcinoma

2021 ◽  
Vol 10 (13) ◽  
pp. 2869
Author(s):  
Indah Jamtani ◽  
Kwang-Woong Lee ◽  
Yun-Hee Choi ◽  
Young-Rok Choi ◽  
Jeong-Moo Lee ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Transplantation ◽  
Prediction Model ◽  
Risk Group ◽  
Significant Risk ◽  
Risk Scores ◽  
Accurate Information ◽  
Survival Prediction ◽  
Good Prediction ◽  
Recurrence Rates

This study aimed to create a tailored prediction model of hepatocellular carcinoma (HCC)-specific survival after transplantation based on pre-transplant parameters. Data collected from June 2006 to July 2018 were used as a derivation dataset and analyzed to create an HCC-specific survival prediction model by combining significant risk factors. Separate data were collected from January 2014 to June 2018 for validation. The prediction model was validated internally and externally. The data were divided into three groups based on risk scores derived from the hazard ratio. A combination of patient demographic, laboratory, radiological data, and tumor-specific characteristics that showed a good prediction of HCC-specific death at a specific time (t) were chosen. Internal and external validations with Uno’s C-index were 0.79 and 0.75 (95% confidence interval (CI) 0.65–0.86), respectively. The predicted survival after liver transplantation for HCC (SALT) at a time “t” was calculated using the formula: [1 − (HCC-specific death(t’))] × 100. The 5-year HCC-specific death and recurrence rates in the low-risk group were 2% and 5%; the intermediate-risk group was 12% and 14%, and in the high-risk group were 71% and 82%. Our HCC-specific survival predictor named “SALT calculator” could provide accurate information about expected survival tailored for patients undergoing transplantation for HCC.

An absolute risk-guided approach to cardiovascular risk management within a chest pain clinic: the ARCPAC randomized trial

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
J.A Black ◽  
J Campbell ◽  
J Sharman ◽  
M Nelson ◽  
S Parker ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Cardiovascular Risk ◽  
Chest Pain ◽  
Smoking Status ◽  
Absolute Risk ◽  
Pain Clinic ◽  
Risk Scores ◽  
Cardiovascular Risk Management ◽  
Risk Factor Management

Abstract Background The majority of patients attending chest pain clinics are found not to have a cardiac cause of their symptoms, but have a high burden of cardiovascular risk factors that may be opportunistically addressed. Absolute risk calculators are recommended to guide risk factor management, although it is uncertain to what extent these calculations may assist with patient engagement in risk factor modification. Purpose We sought to determine the usefulness of a proactive, absolute risk-based approach, to guide opportunistic cardiovascular risk factor management within a chest pain clinic. Methods This was a prospective, open-label, blinded-endpoint study in 192 enhanced risk (estimated 5-year risk ≥8%, based on Australian Absolute Risk Calculator) patients presenting to a tertiary hospital chest pain clinic. Patients were randomized to best practice usual care, or intervention with development of a proactive cardiovascular risk management strategy framed around a discussion of the individual's absolute risk. Patients found to have a cardiac cause of symptoms were excluded as they constitute a secondary prevention population. Primary outcome was 5-year absolute cardiovascular risk score at minimum 12 months follow up. Secondary outcomes were individual modifiable risk factors (lipid profile, blood pressure, smoking status). Results 192 people entered the study; 100 in the intervention arm and 92 in usual care. There was no statistical difference between the two groups' baseline sociodemographic and clinical variables. The intervention group showed greater reduction in 5-year absolute risk scores (difference −2.77; p<0.001), and more favourable individual risk factors, although only smoking status and LDL cholesterol reached statistical significance (table). Conclusion An absolute risk-guided proactive risk factor management strategy employed opportunistically in a chest pain clinic significantly improves 5-year cardiovascular risk scores. Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): Tasmanian Community Fund

scholarly journals Cardiovascular risk scores do not account for the effect of treatment: a review

Heart ◽  
2011 ◽  
Vol 97 (9) ◽  
pp. 689-697 ◽  
Author(s):  
S. M. Liew ◽  
J. Doust ◽  
P. Glasziou
Keyword(s):  
Cardiovascular Risk ◽  
Risk Scores ◽  
Effect Of Treatment

scholarly journals Restless legs syndrome in Parkinson's disease and increased cardiovascular risk

2018 ◽  
Vol 76 (11) ◽  
pp. 731-735 ◽  
Author(s):  
Maren de Moraes e Silva ◽  
Cezar Henrique Lorenzi ◽  
Blenda Barreto Schneider ◽  
Catherine Enk Fischer Seidel ◽  
Isabela Salomé ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cardiovascular Risk ◽  
Restless Legs Syndrome ◽  
Protective Factor ◽  
Risk Scores ◽  
Dopaminergic Transmission ◽  
Restless Legs ◽  
Cardiovascular Comorbidities ◽  
Framingham Risk

ABSTRACT Restless legs syndrome (RLS) is a disorder commonly found in patients with Parkinson's disease, with descriptions for both conditions impairing dopaminergic transmission in central nervous system. Previous studies in varied populations indicate an association between the presence of RLS and increased cardiovascular risk and, so far, there are no consistent studies of this association in Parkinson's disease. Objective: To analyze the influence of RLS on cardiovascular risk in patients with Parkinson's disease. Methods: We reviewed the medical records of 202 patients diagnosed with Parkinson's disease and verified the presence of RLS, cardiovascular comorbidities, blood pressure measurements, lipid profiles and Framingham Risk Scores. Results: Statistically significant higher values of total cholesterol were found for the RLS group (mean 216.6 mg/dL), as well as for LDL cholesterol (mean 145 mg/dL). No statistical difference was found among the other factors. Conclusion: Patients with Parkinson's disease and RLS have a higher prevalence of dyslipidemia than patients without RLS, suggesting a correlation between restless legs and hyperlipidemia. It is questioned whether the dopaminergic substrate is the main factor in the genesis of the syndrome, as even with the use of dopaminergic agonists by both groups, it was possible to observe differences between groups. The hypothesis of the real interference of the syndrome treatment as a protective factor for cardiovascular risk was generated.

scholarly journals Medical management of metabolic and cardiovascular complications after liver transplantation

2020 ◽  
Vol 26 (18) ◽  
pp. 2138-2154
Author(s):  
Chiara Becchetti ◽  
Melisa Dirchwolf ◽  
Vanessa Banz ◽  
Jean-François Dufour
Keyword(s):  
Liver Transplantation ◽  
Medical Management ◽  
Cardiovascular Complications

scholarly journals Obesity in Humans Is Characterized by Gut Inflammation as Shown by Pro-Inflammatory Intestinal Macrophage Accumulation

2021 ◽  
Vol 12 ◽  
Author(s):  
Theresa V. Rohm ◽  
Regula Fuchs ◽  
Rahel L. Müller ◽  
Lena Keller ◽  
Zora Baumann ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Vegetable Intake ◽  
Cardiovascular Complications ◽  
Processed Meat ◽  
Low Grade ◽  
Blood Monocytes ◽  
Unhealthy Lifestyle ◽  
Gut Inflammation

Chronic low-grade inflammation is a hallmark of obesity and associated with cardiovascular complications. However, it remains unclear where this inflammation starts. As the gut is constantly exposed to food, gut microbiota, and metabolites, we hypothesized that mucosal immunity triggers an innate inflammatory response in obesity. We characterized five distinct macrophage subpopulations (P1-P5) along the gastrointestinal tract and blood monocyte subpopulations (classical, non-classical, intermediate), which replenish intestinal macrophages, in non-obese (BMI<27kg/m2) and obese individuals (BMI>32kg/m2). To elucidate factors that potentially trigger gut inflammation, we correlated these subpopulations with cardiovascular risk factors and lifestyle behaviors. In obese individuals, we found higher pro-inflammatory macrophages in the stomach, duodenum, and colon. Intermediate blood monocytes were also increased in obesity, suggesting enhanced recruitment to the gut. We identified unhealthy lifestyle habits as potential triggers of gut and systemic inflammation (i.e., low vegetable intake, high processed meat consumption, sedentary lifestyle). Cardiovascular risk factors other than body weight did not affect the innate immune response. Thus, obesity in humans is characterized by gut inflammation as shown by accumulation of pro-inflammatory intestinal macrophages, potentially via recruited blood monocytes. Understanding gut innate immunity in human obesity might open up new targets for immune-modulatory treatments in metabolic disease.

Sign in / Sign up

Export Citation Format

Share Document