scholarly journals Association of the Aspartate Aminotransferase to Alanine Aminotransferase Ratio with BNP Level and Cardiovascular Mortality in the General Population: The Yamagata Study 10-Year Follow-Up

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Miyuki Yokoyama ◽  
Tetsu Watanabe ◽  
Yoichiro Otaki ◽  
Hiroki Takahashi ◽  
Takanori Arimoto ◽  
...  

Background. Early identification of high risk subjects for cardiovascular disease in health check-up is still unmet medical need. Cardiovascular disease is characterized by the superior increase in aspartate aminotransferase (AST) to alanine aminotransferase (ALT). However, the association of AST/ALT ratio with brain natriuretic peptide (BNP) levels and cardiovascular mortality remains unclear in the general population. Methods and Results. This longitudinal cohort study included 3,494 Japanese subjects who participated in a community-based health check-up, with a 10-year follow-up. The AST/ALT ratio increased with increasing BNP levels. And multivariate logistic analysis showed that the AST/ALT ratio was significantly associated with a high BNP (≥100 pg/mL). There were 250 all-cause deaths including 79 cardiovascular deaths. Multivariate Cox proportional hazard regression analysis revealed that a high AST/ALT ratio (>90 percentile) was an independent predictor of all-cause and cardiovascular mortality after adjustment for confounding factors. Kaplan-Meier analysis demonstrated that cardiovascular mortality was higher in subjects with a high AST/ALT ratio than in those without. Conclusions. The AST/ALT ratio was associated with an increase in BNP and was predictive of cardiovascular mortality in a general population. Measuring the AST/ALT ratio during routine health check-ups may be a simple and cost-effective marker for cardiovascular mortality.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiaojing Chen ◽  
Per-Olof Hansson ◽  
Erik Thunström ◽  
Zacharias Mandalenakis ◽  
Kenneth Caidahl ◽  
...  

AbstractThe QRS complex has been shown to be a prognostic marker in coronary artery disease. However, the changes in QRS duration over time, and its predictive value for cardiovascular disease in the general population is poorly studied. So we aimed to explore if increased QRS duration from the age of 50–60 is associated with increased risk of major cardiovascular events during a further follow-up to age 71. A random population sample of 798 men born in 1943 were examined in 1993 at 50 years of age, and re-examined in 2003 at age 60 and 2014 at age 71. Participants who developed cardiovascular disease before the re-examination in 2003 (n = 86) or missing value of QRS duration in 2003 (n = 127) were excluded. ΔQRS was defined as increase in QRS duration from age 50 to 60. Participants were divided into three groups: group 1: ΔQRS < 4 ms, group 2: 4 ms ≤ ΔQRS < 8 ms, group 3: ΔQRS ≥ 8 ms. Endpoints were major cardiovascular events. And we found compared with men in group 1 (ΔQRS < 4 ms), men with ΔQRS ≥ 8 ms had a 56% increased risk of MACE during follow-up to 71 years of age after adjusted for BMI, systolic blood pressure, smoking, hyperlipidemia, diabetes and heart rate in a multivariable Cox regression analysis (HR 1.56, 95% CI:1.07–2.27, P = 0.022). In conclusion, in this longitudinal follow-up over a decade QRS duration increased in almost two out of three men between age 50 and 60 and the increased QRS duration in middle age is an independent predictor of major cardiovascular events.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
Y Otaki ◽  
T W Watanabe ◽  
J G Goto ◽  
Y S Saito ◽  
T A Aono ◽  
...  

Abstract Background Nephronophthisis (NPHP) 4 gene encoding nephrocystin-4, which contributes to end-stage renal disease in children and young adults, is involved in the development of the heart and kidneys. Cardiorenal syndrome (CRS), which consists of bidirectional dysfunction of the heart and kidneys, is a risk factor for cardiovascular events. Single nucleotide polymorphisms (SNPs) within the NPHP4 gene are reportedly associated with kidney function, even in adults. However, the association of NPHP4 gene variability with CRS and cardiovascular events remains unknown. Purpose To examine whether NPHP4 gene variability is related to CRS and cardiovascular events in general population. Methods and results This prospective cohort study included 2,946 subjects who participated in a community-based health study with a 16-year follow-up period. We genotyped 11 SNPs within the NPHP4 gene whose minor allele frequency was greater than 0.1 in the Japanese population. The SNP rs12058375 was significantly associated with CRS and cardiovascular events. Multivariate logistic analysis demonstrated a significant association between the homozygous A-allele of rs12058375 with the presence of CRS. Haplotype analysis identified the haplotype with the A-allele of rs12058375 as an increased susceptibility factor for CRS. Kaplan-Meier analysis demonstrated that homozygous A-allele carriers of rs12058375 had the greatest risk of developing cardiovascular events among the NPHP4 variants. Multivariate Cox proportional hazard regression analysis revealed that the homozygous A-allele and heterozygous carriers of rs12058375 were associated with cardiovascular events after adjusting for confounding factors. The net reclassification index and integrated discrimination index were significantly improved by the addition of rs12058375 as a cardiovascular risk factor. Conclusion Genetic variations in the NPHP4 gene were associated with CRS and cardiovascular events in the general population, suggesting that it may facilitate the early identification of high-risk subjects with CRS and cardiovascular events. FUNDunding Acknowledgement Type of funding sources: None.


Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Masayuki Teramoto ◽  
Isao Muraki ◽  
Kokoro Shirai ◽  
Akiko Tamakoshi ◽  
Hiroyasu Iso

Background: Both green tea and coffee consumption have been associated with lower risks of mortality from cardiovascular disease (CVD) and all causes in general population, but little is known about those impact on persons with history of CVD. We examined the association of those consumption with these mortalities among persons with and without history of stroke or myocardial infarction in general population. Methods: The study subjects were 60,664 participants (896 stroke and 1751 myocardial infarction survivors and 58,017 persons with no history of stroke or myocardial infarction), aged 40-79 years at the baseline (1988-1990), who completed a lifestyle and medical history questionnaire including self-administered food frequency under the Japan Collaborative Cohort Study for Evaluation of Cancer Risk (JACC Study). Results: During the median follow-up of 18.5 years, a total of 12,745 (7,458 men and 5,287 women) deaths including 3,737 CVD deaths were documented. Green tea and coffee consumption were inversely associated with CVD and all-cause mortality among myocardial infarction survivors as well as persons without history of stroke or myocardial infarction. After adjustment for known cardiovascular risk factors, the lower risks of mortality from CVD and all-causes associated with frequent green tea consumption (5-6 and ≥7 cups/day) or coffee consumption (≥2 cups/day) remained statistical. Conclusions: Both green tea and coffee consumption were inversely associated with risks of CVD and all-cause mortality among myocardial infarction survivors and persons without history of stroke or myocardial infarction.


2020 ◽  
Vol 27 (18) ◽  
pp. 1956-1963 ◽  
Author(s):  
Xinyan Wang ◽  
Fangchao Liu ◽  
Jianxin Li ◽  
Xueli Yang ◽  
Jichun Chen ◽  
...  

Aims The role of tea consumption in the primary prevention of atherosclerotic cardiovascular disease remains unclear in cohort studies. This prospective cohort study aimed to investigate the associations of tea consumption with the risk of atherosclerotic cardiovascular disease and all-cause mortality. Methods We included 100,902 general Chinese adults from the project of Prediction for ASCVD Risk in China (China-PAR) in 15 provinces across China since 1998. Information on tea consumption was collected through standardized questionnaires. Outcomes were identified by interviewing study participants or their proxies, and checking hospital records and/or death certificates. Cox proportional hazard regression models were used to calculate hazard ratios and their corresponding 95% confidence intervals related to tea consumption. Results During a median follow-up of 7.3 years, 3683 atherosclerotic cardiovascular disease events, 1477 atherosclerotic cardiovascular disease deaths, and 5479 all-cause deaths were recorded. Compared with never or non-habitual tea drinkers, the hazard ratio and 95% confidence interval among habitual tea drinkers was 0.80 (0.75–0.87), 0.78 (0.69–0.88), and 0.85 (0.79–0.90) for atherosclerotic cardiovascular disease incidence, atherosclerotic cardiovascular disease mortality, and all-cause mortality, respectively. Habitual tea drinkers had 1.41 years longer of atherosclerotic cardiovascular disease-free years and 1.26 years longer of life expectancy at the index age of 50 years. The observed inverse associations were strengthened among participants who kept the habit during the follow-up period. Conclusion Tea consumption was associated with reduced risks of atherosclerotic cardiovascular disease and all-cause mortality, especially among those consistent habitual tea drinkers.


2019 ◽  
Vol 40 (48) ◽  
pp. 3889-3897 ◽  
Author(s):  
Kathleen M Sturgeon ◽  
Lei Deng ◽  
Shirley M Bluethmann ◽  
Shouhao Zhou ◽  
Daniel M Trifiletti ◽  
...  

Abstract Aims This observational study characterized cardiovascular disease (CVD) mortality risk for multiple cancer sites, with respect to the following: (i) continuous calendar year, (ii) age at diagnosis, and (iii) follow-up time after diagnosis. Methods and results The Surveillance, Epidemiology, and End Results program was used to compare the US general population to 3 234 256 US cancer survivors (1973–2012). Standardized mortality ratios (SMRs) were calculated using coded cause of death from CVDs (heart disease, hypertension, cerebrovascular disease, atherosclerosis, and aortic aneurysm/dissection). Analyses were adjusted by age, race, and sex. Among 28 cancer types, 1 228 328 patients (38.0%) died from cancer and 365 689 patients (11.3%) died from CVDs. Among CVDs, 76.3% of deaths were due to heart disease. In eight cancer sites, CVD mortality risk surpassed index-cancer mortality risk in at least one calendar year. Cardiovascular disease mortality risk was highest in survivors diagnosed at &lt;35 years of age. Further, CVD mortality risk is highest (SMR 3.93, 95% confidence interval 3.89–3.97) within the first year after cancer diagnosis, and CVD mortality risk remains elevated throughout follow-up compared to the general population. Conclusion The majority of deaths from CVD occur in patients diagnosed with breast, prostate, or bladder cancer. We observed that from the point of cancer diagnosis forward into survivorship cancer patients (all sites) are at elevated risk of dying from CVDs compared to the general US population. In endometrial cancer, the first year after diagnosis poses a very high risk of dying from CVDs, supporting early involvement of cardiologists in such patients.


Medicine ◽  
2016 ◽  
Vol 95 (43) ◽  
pp. e4821 ◽  
Author(s):  
Giacomo Zoppini ◽  
Vittorio Cacciatori ◽  
Carlo Negri ◽  
Vincenzo Stoico ◽  
Giuseppe Lippi ◽  
...  

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A Leiherer ◽  
A Muendlein ◽  
C H Saely ◽  
R Laaksonen ◽  
M Laaperi ◽  
...  

Abstract Background The recently introduced Coronary Event Risk Test (CERT) is a validated cardiovascular risk predictor that uses circulating ceramide concentrations to allocate patients into one of four risk categories. Purpose The purpose of this study was to investigate the power of CERT to predict cardiovascular mortality in patients with established cardiovascular disease (CVD) including patients with type 2 diabetes (T2DM). Methods We investigated a total of 1087 patients with established CVD, including 360 patients with T2DM. At baseline, the prevalence of T2DM increased through CERT categories (29.1, 31.1, 37.4, and 53.4%, respectively, ptrend<0.001). Prospectively, cardiovascular deaths were recorded during a mean follow-up time of 8.1±3.2 years. Results A total of 130 cardiovascular deaths occurred. Overall, cardiovascular mortality increased with increasing CERT categories (figure) and was higher in T2DM patients than in those who did not have diabetes (17.7 vs. 9.4%; p<0.001). In Cox regression models, CERT categories predicted cardiovascular mortality in patients with T2DM (unadjusted HR 1.60 [1.28–2.01]; p<0.001; HR adjusted for age, gender, BMI, smoking, LDL cholesterol, HDL cholesterol, hypertension, and statin use 1.65 [1.27–2.15]; p<0.001) and in those without diabetes (unadjusted HR 1.43 [1.10–1.85]; p=0.008 and adjusted HR 1.41 [1.07–1.85]; p=0.015). Cardiovascular survival of CVD patients Conclusion We conclude that CERT predicts cardiovascular mortality in CVD patients with T2DM as well as in those without diabetes.


2010 ◽  
Vol 2010 ◽  
pp. 1-8 ◽  
Author(s):  
David Martins ◽  
Chizobam Ani ◽  
Deyu Pan ◽  
Omolola Ogunyemi ◽  
Keith Norris

Background. Renal disease is commonly described as a complication of metabolic syndrome (MetS) but some recent studies suggest that Chronic Kidney disease (CKD) may actually antecede MetS. Few studies have explored the predictive utility of co-clustering CKD with MetS for cardiovascular disease (CVD) mortality.Methods. Data from a nationally representative sample of United States adults (NHANES) was utilized. A sample of 13115 non-pregnant individuals aged years, with available follow-up mortality assessment was selected. Multivariable Cox Proportional hazard regression analysis techniques explored the relationship between co-clustered CKD, MetS and CVD mortality. Bayesian analysis techniques tested the predictive accuracy for CVD Mortality of two models using co-clustered MetS and CKD and MetS alone.Results. Co-clustering early and late CKD respectively resulted in statistically significant higher hazard for CVD mortality (HR = 1.80, CI = 1.45–2.23, and HR = 3.23, CI = 2.56–3.70) when compared with individuals with no MetS and no CKD. A model with early CKD and MetS has a higher predictive accuracy (72.0% versus 67.6%), area under the ROC (0.74 versus 0.66), and Cohen's kappa (0.38 versus 0.21) than that with MetS alone.Conclusion. The study findings suggest that the co-clustering of early CKD with MetS increases the accuracy of risk prediction for CVD mortality.


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