scholarly journals The Evolving Face of Heart Failure Associated with Elevated Cardio-Metabolic Risk Factors

10.5772/28065 ◽  
2012 ◽  
Author(s):  
Chaitanya Dutt ◽  
Vijay Chauthaiwale ◽  
Anookh Mohanan ◽  
KumarPrafull Chandra ◽  
Shitalkumar Zambad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Metabolic Risk Factors ◽  
Metabolic Risk

The Emerging Role of Gut Dysbiosis in Cardio-metabolic Risk Factors for Heart Failure

2020 ◽  
Vol 22 (5) ◽  
Author(s):  
Yusuke Sata ◽  
Francine Z. Marques ◽  
David M. Kaye
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Gut Dysbiosis

scholarly journals Markers of Inflammation, Metabolic Risk Factors, and Incident Heart Failure in American Indians: The Strong Heart Study

2011 ◽  
Vol 14 (1) ◽  
pp. 13-19 ◽  
Author(s):  
Ana Barac ◽  
Hong Wang ◽  
Nawar M. Shara ◽  
Giovanni de Simone ◽  
Elizabeth A. Carter ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
American Indians ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Strong Heart Study ◽  
Markers Of Inflammation ◽  
Heart Study ◽  
Incident Heart Failure

scholarly journals Novel Metabolic Risk Factors for Incident Heart Failure and Their Relationship With Obesity

2008 ◽  
Vol 51 (18) ◽  
pp. 1775-1783 ◽  
Author(s):  
Hossein Bahrami ◽  
David A. Bluemke ◽  
Richard Kronmal ◽  
Alain G. Bertoni ◽  
Donald M. Lloyd-Jones ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Metabolic Risk Factors ◽  
Metabolic Risk ◽  
Incident Heart Failure

Abstract 16063: Demographic Differences in the Burden of Heart Failure Attributable to Obesity-Associated Metabolic Risk Factors: The Atherosclerosis in Communities (ARIC) Study

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Robert Okyere ◽  
Roberta Florido ◽  
Sui Zhang ◽  
Justin Echouffo-Tcheugui ◽  
Carine Hamo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Cox Regression ◽  
Risk Group ◽  
Population Attributable Risk ◽  
Metabolic Risk Factors ◽  
Area Deprivation ◽  
Metabolic Risk ◽  
Demographic Differences ◽  
Demographic Groups

Background: The development of metabolic syndrome (MetS) and diabetes among those with obesity varies by age, sex, race and socioeconomic status (SES) and is associated with increased heart failure (HF) risk. There are limited data about whether the HF burden related to these metabolic risk factors differs across demographic groups. Hypothesis: There is significant variation in the proportion of HF events attributable to obesity-associated metabolic risk factors across demographic groups. Methods: We studied 10,133 white and black participants at ARIC Visit 4 (1996-98) without baseline HF. Age was categorized as < or ≥65 yrs and SES categorized as low, medium or high based on education, income, and area deprivation index. MetS was defined by AHA/NHLBI criteria. HF follow-up was through 2018. Individuals with obesity (BMI ≥30kg/m 2 ) were grouped as: no MetS or diabetes, MetS alone, or both MetS and diabetes (highest metabolic risk). Across demographic strata, we assessed: metabolic risk group prevalences; hazard ratios (HRs) for HF associated with each metabolic risk group (Cox regression); and the population attributable risk (PAR) for HF associated with metabolic risk factors in those with obesity. Results: Those with age ≥65, male sex, black race and low SES were more likely to be in the highest metabolic risk group ( Table ). Over 20 years (N= 2,194 events), compared to normal weight without MetS or diabetes, the highest metabolic risk was associated with 3-5 fold higher HF risk in all subgroups. Stronger HF associations were seen for those < vs ≥65 years (p interaction <0.001) and for women vs men (p interaction 0.03). The PAR for obesity-associated metabolic risk factors varied by race (39 vs 32% for blacks vs whites) and SES (40 vs 28% for low vs high SES). Conclusion: There are important demographic differences in the burden of HF related to metabolic risk factors. Addressing disparities in the HF impact of metabolic risk factors is critical to efforts to improve health equity.

scholarly journals Novel Metabolic Risk Factors for Heart Failure

2005 ◽  
Vol 46 (11) ◽  
pp. 2054-2060 ◽  
Author(s):  
Erik Ingelsson ◽  
Johan Ärnlöv ◽  
Johan Sundström ◽  
Björn Zethelius ◽  
Bengt Vessby ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Metabolic Risk Factors ◽  
Metabolic Risk

Correlation of Metabolic Risk Factors with Sessile Serrated Lesions

2020 ◽  
Vol 29 (2) ◽  
pp. 175-179
Author(s):  
Melania Macarie ◽  
Simona Bataga ◽  
Simona Mocan ◽  
Monica Pantea ◽  
Razvan Opaschi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Statistical Significance ◽  
Interval Cancer ◽  
Metabolic Risk Factors ◽  
Control Group ◽  
Anatomical Site ◽  
Metabolic Risk ◽  
Right Colon ◽  
Serrated Lesions ◽  
The Right

Background and Aims: The importance of sessile serrated lesions (SSLs) in the pathogenesis of colorectal carcinoma has been recently established. These are supposed to cause the so-called “interval cancer”, having a rapidly progressive growth and being difficult to detect and to obtain an endoscopic complete resection. We aimed to establish the most important metabolic risk factors for sessile serrated lesions. Methods: We performed a retrospective case-control study, on a series of 2918 consecutive patients who underwent colonoscopy in Gastroenterology and Endoscopy Unit, County Clinical Emergency Hospital, Târgu-Mureș, Romania between 1 st of January 2015-31 th of December 2017. In order to evaluate the metabolic risk factors for polyps’ development, enrolled participants were stratified in two groups, a study group, 33 patients with SSLs lesions, and a control group, 138 patients with adenomatous polyps, selected by systematic sampling for age and anatomical site. Independent variables investigated were: gender, smoking, alcohol consumption, obesity, arterial hypertension, diabetes, hypercholesterolemia, hypertriglyceridemia, hyperuricemia, nonalcoholic liver disease. Results: For SSLs the most common encountered localization was the right colon in 30.55% of cases. By comparative bivariate analysis between SSLs group and control group, it was observed that hypertension (p=0.03, OR 2.33, 95 %CI 1.03-5.24), obesity (p=0.03, OR 2.61, 95 %CI 1.08-6.30), hyperuricemia (p=0.04, OR 2.72, 95 %CI 1.28-7.55), high cholesterol (p=0.002, OR 3.42; 95 %CI 1.48-7.87), and high triglycerides level (p=0.0006, OR 5.75; 95 %CI 1.92-17.2) were statistically associated with SSLs development. By multivariate analysis hypertension and hypertriglyceridemia retained statistical significance. Conclusions: Our study showed that the highest prevalence of SSLs was in the right colon and hypertension and increased triglycerides levels were associated with the risk of SSLs development. These risk factors are easy to detect in clinical practice and may help identifying groups with high risk for colorectal cancer, where screening is recommended.

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