INCREASED ALL-CAUSE MORTALITY, TOTAL CARDIOVASCULAR DISEASE AND MORBIDITY IN HOSPITALIZED OCTOGENARIANS WITH ORTHOSTATIC HYPOTENSION

2018 ◽  
Vol 36 (Supplement 1) ◽  
pp. e38
Author(s):  
I. Lindstedt ◽  
L. Edvinsson ◽  
A.L. Lindberg ◽  
M. Olsson ◽  
C. Dahlgren ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Orthostatic Hypotension ◽  
All Cause Mortality

scholarly journals Cardiovascular risk after hospitalisation for unexplained syncope and orthostatic hypotension

Heart ◽  
2017 ◽  
Vol 104 (6) ◽  
pp. 487-493 ◽  
Author(s):  
Ekrem Yasa ◽  
Fabrizio Ricci ◽  
Martin Magnusson ◽  
Richard Sutton ◽  
Sabina Gallina ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Cardiovascular Disease ◽  
Orthostatic Hypotension ◽  
Cardiovascular Events ◽  
Hospital Admissions ◽  
Cox Regression ◽  
All Cause Mortality ◽  
Unexplained Syncope ◽  
The Impact

ObjectiveTo investigate the relationship of hospital admissions due to unexplained syncope and orthostatic hypotension (OH) with subsequent cardiovascular events and mortality.MethodsWe analysed a population-based prospective cohort of 30 528 middle-aged individuals (age 58±8 years; males, 40%). Adjusted Cox regression models were applied to assess the impact of unexplained syncope/OH hospitalisations on cardiovascular events and mortality, excluding subjects with prevalent cardiovascular disease.ResultsAfter a median follow-up of 15±4 years, 524 (1.7%) and 504 (1.7%) participants were hospitalised for syncope or OH, respectively, yielding 1.2 hospital admissions per 1000 person-years for each diagnosis. Syncope hospitalisations increased with age (HR, per 1 year: 1.07, 95% CI 1.05 to 1.09), higher systolic blood pressure (HR, per 10 mm Hg: 1.06, 95% CI 1.01 to 1.12), antihypertensive treatment (HR: 1.26, 95% CI 1.00 to 1.59), use of diuretics (HR: 1.77, 95% CI 1.31 to 2.38) and prevalent cardiovascular disease (HR: 1.59, 95% CI 1.14 to 2.23), whereas OH hospitalisations increased with age (HR: 1.11, 95% CI 1.08 to 1.12) and prevalent diabetes (HR: 1.82, 95% CI 1.23 to 2.70). After exclusion of 1399 patients with prevalent cardiovascular disease, a total of 473/464 patients were hospitalised for unexplained syncope/OH before any cardiovascular event. Hospitalisation for unexplained syncope predicted coronary events (HR: 1.85, 95% CI 1.49 to 2.30), heart failure (HR: 2.24, 95% CI 1.65 to 3.04), atrial fibrillation (HR: 1.84, 95% CI 1.50 to 2.26), aortic valve stenosis (HR: 2.06, 95% CI 1.28 to 3.32), all-cause mortality (HR: 1.22, 95% CI 1.09 to 1.37) and cardiovascular death (HR: 1.72, 95% CI 1.23 to 2.42). OH-hospitalisation predicted stroke (HR: 1.66, 95% CI 1.24 to 2.23), heart failure (HR: 1.78, 95% CI 1.21 to 2.62), atrial fibrillation (HR: 1.89, 95% CI 1.48 to 2.41) and all-cause mortality (HR: 1.14, 95% CI 1.01 to 1.30).ConclusionsPatients discharged with the diagnosis of unexplained syncope or OH show higher incidence of cardiovascular disease and mortality with only partial overlap between these two conditions.

scholarly journals Orthostatic hypotension and atrial fibrillation: is there a relationship?

2021 ◽  
Vol 27 (4) ◽  
pp. 409-414
Author(s):  
O. N. Antropova ◽  
I. V. Osipova ◽  
G. G. Efremushkin
Keyword(s):  
Atrial Fibrillation ◽  
Cardiovascular Disease ◽  
Risk Factor ◽  
Elderly Patients ◽  
Orthostatic Hypotension ◽  
Venous Return ◽  
Upright Position ◽  
Cerebrovascular Complications ◽  
All Cause Mortality ◽  
The Relationship

Orthostatic hypotension (OH), a possible marker of autonomic dysfunction, reflects the inability of reflex cardiovascular mechanisms to compensate for the fall in venous return in the upright position. This is a manifestation of structural and functional abnormalities of the cardiovascular system. Significance of the orthostatic hypotension is underestimated, while it is associated with all-cause mortality and cardiovascular disease. The article reviews the relationship between atrial fibrillation (AF) and OH. The pathogenetic mechanisms of OH are considered, including various subgroups, e. g. elderly patients. The article also discusses the relationship between OH, AF and cerebrovascular complications. Available evidence suggests that impaired orthostatic hemodynamic response should be considered as a new risk factor for AF. Further research is needed for better understanding of the association between AF and OH, as well as their management.

Effects of Intensive Blood Pressure Control in Patients with Evident Cardiovascular Disease: An Investigation Using the SPRINT Study Data

2019 ◽  
Vol 17 (3) ◽  
pp. 298-306 ◽  
Author(s):  
Charalambos Vlachopoulos ◽  
Dimitrios Terentes-Printzios ◽  
Konstantinos Aznaouridis ◽  
Nikolaos Ioakeimidis ◽  
Panagiotis Xaplanteris ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Beneficial Effect ◽  
Harmful Effect ◽  
Adverse Outcomes ◽  
Intensive Treatment ◽  
Serious Adverse Events ◽  
Stroke Incidence ◽  
Increased Risk ◽  
All Cause Mortality

Background: Recent data advocate adoption of a more intensive treatment strategy for management of blood pressure (BP). </P><P> Objective: We investigated whether the overall effects of the Systolic Blood Pressure Intervention Trial (SPRINT) are applicable to cardiovascular disease (CVD) patients. </P><P> Methods: In a post hoc analysis we analyzed data from SPRINT that randomly assigned 9361 individuals to a systolic BP (SBP) target of <120 mmHg (intensive treatment) or <140 mmHg (standard treatment). 1562 patients had clinically evident CVD (age=70.3±9.3 years, 24% females) at study entry and were followed for 3.1 years. Further, we assessed the effect of low (<150 mmHg) baseline SBP on outcome. </P><P> Results: In CVD patients, there was no benefit from the intensive treatment regarding all endpoints, except for a marginally significant benefit on all-cause mortality (hazard ratio [HR]: 0.67; 95% confidence interval [CI], 0.45 to 1.00; p=0.0509). Further, while there was no increase in serious adverse events (SAE) in the intensive group, there was increased risk for study-related SAE, acute renal failure and electrolyte abnormalities. In patients with low baseline SBP there was a beneficial effect on allcause mortality (HR: 0.56; 95% CI: 0.33 to 0.96; p=0.033), but with greater stroke incidence (HR: 2.94; 95% CI: 1.04 to 8.29; p=0.042). </P><P> Conclusion: We confirm the beneficial effect of the intensive strategy in SPRINT study on all-cause mortality and the harmful effect on specific adverse outcomes in patients with CVD. However, in patients with low baseline SBP stroke may increase.

scholarly journals Periodontal Antibodies and All-Cause and Cardiovascular Disease Mortality

2019 ◽  
Vol 99 (1) ◽  
pp. 51-59 ◽  
Author(s):  
J. Qi ◽  
Z. Zihang ◽  
J. Zhang ◽  
Y.M. Park ◽  
D. Shrestha ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Igg Antibody ◽  
Actinomyces Naeslundii ◽  
Health And Nutrition ◽  
Cox Proportional Hazard ◽  
Disease Mortality ◽  
All Cause Mortality ◽  
Yellow Orange ◽  
Cox Proportional Hazard Models ◽  
Cvd Mortality

Periodontitis is positively linked to cardiovascular disease (CVD), diabetes, cancer, and increased mortality. Empirically derived clusters of IgG antibodies against 19 selected periodontal microorganisms have been associated with hyperglycemia. We further investigated associations between these serum IgG antibody clusters and all-cause and CVD mortality in a representative US population. Participants free of CVD and cancer and aged ≥40 y at baseline ( N = 6,491) from the Third National Health and Nutrition Examination Survey (1988 to 1994) were followed up until December 31, 2011. Antibodies were categorized into 4 clusters: red-green, orange-red, yellow-orange, and orange-blue. Over a 23-y follow-up, 2,702 deaths occurred, including 810 CVD-related deaths. In fully adjusted Cox proportional hazard models, the red-green cluster was positively associated with all-cause mortality (tertile 3 vs. tertile 1: hazard ratio [HR] = 1.43, 95% CI = 1.08 to 1.90, P = 0.015). The yellow-orange cluster was inversely associated with all-cause mortality (tertile 3 vs. tertile 1: HR = 0.78, 95% CI = 0.63 to 0.97, P = 0.028) and CVD mortality (tertile 2 vs. tertile 1: HR = 0.57, 95% CI = 0.42 to 0.77, P = 0.005). The orange-blue cluster (composed of antibodies against Eubacterium nodatum and Actinomyces naeslundii) was inversely associated with all-cause mortality (tertile 3 vs. tertile 1: HR = 0.65, 95% CI = 0.55 to 0.78, P < 0.0001) and CVD mortality (tertile 3 vs. tertile 1: HR = 0.65, 95% CI = 0.47 to 0.88, P = 0.007). These antibodies could predict prognosis or be potential intervention targets to prevent systemic effects of periodontal disease if further studies establish a causal relationship.

scholarly journals Dose–Response Relation between Tea Consumption and Risk of Cardiovascular Disease and All-Cause Mortality: A Systematic Review and Meta-Analysis of Population-Based Studies

2020 ◽  
Vol 11 (4) ◽  
pp. 790-814 ◽  
Author(s):  
Mei Chung ◽  
Naisi Zhao ◽  
Deena Wang ◽  
Marissa Shams-White ◽  
Micaela Karlsen ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Lower Risk ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Tea Consumption ◽  
All Cause Mortality ◽  
Specific Mortality ◽  
Cvd Mortality

ABSTRACT Tea flavonoids have been suggested to offer potential benefits to cardiovascular health. This review synthesized the evidence on the relation between tea consumption and risks of cardiovascular disease (CVD) and all-cause mortality among generally healthy adults. PubMed, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials, Food Science and Technology Abstracts, and Ovid CAB Abstract databases were searched to identify English-language publications through 1 November 2019, including randomized trials, prospective cohort studies, and nested case-control (or case-cohort) studies with data on tea consumption and risk of incident cardiovascular events (cardiac or peripheral vascular events), stroke events (including mortality), CVD-specific mortality, or all-cause mortality. Data from 39 prospective cohort publications were synthesized. Linear meta-regression showed that each cup (236.6 mL)  increase in daily tea consumption (estimated 280 mg  and 338 mg  total flavonoids/d for black and green tea, respectively) was associated with an average 4% lower risk of CVD mortality, a 2% lower risk of CVD events, a 4% lower risk of stroke, and a 1.5% lower risk of all-cause mortality. Subgroup meta-analysis results showed that the magnitude of association was larger in elderly individuals for both CVD mortality (n = 4; pooled adjusted RR: 0.89; 95% CI: 0.83, 0.96; P = 0.001), with large heterogeneity (I2 = 72.4%), and all-cause mortality (n = 3; pooled adjusted RR: 0.92; 95% CI: 0.90, 0.94; P &lt; 0.0001; I2 = 0.3%). Generally, studies with higher risk of bias appeared to show larger magnitudes of associations than studies with lower risk of bias. Strength of evidence was rated as low and moderate (depending on study population age group) for CVD-specific mortality outcome and was rated as low for CVD events, stroke, and all-cause mortality outcomes. Daily tea intake as part of a healthy habitual dietary pattern may be associated with lower risks of CVD and all-cause mortality among adults.

Advanced cardiometabolic & inflammatory markers for prediction of cardiovascular disease and cancer

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
D Radenkovic ◽  
S.C Chawla ◽  
G Botta ◽  
A Boli ◽  
M.B Banach ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Risk Score ◽  
Cancer Incidence ◽  
Risk Function ◽  
Patient Characteristics ◽  
Risk Scores ◽  
Uk Biobank ◽  
Training Set ◽  
All Cause Mortality ◽  
The Uk

Abstract   The two leading causes of mortality worldwide are cardiovascular disease (CVD) and cancer. The annual total cost of CVD and cancer is an estimated $844.4 billion in the US and is projected to double by 2030. Thus, there has been an increased shift to preventive medicine to improve health outcomes and development of risk scores, which allow early identification of individuals at risk to target personalised interventions and prevent disease. Our aim was to define a Risk Score R(x) which, given the baseline characteristics of a given individual, outputs the relative risk for composite CVD, cancer incidence and all-cause mortality. A non-linear model was used to calculate risk scores based on the participants of the UK Biobank (= 502548). The model used parameters including patient characteristics (age, sex, ethnicity), baseline conditions, lifestyle factors of diet and physical activity, blood pressure, metabolic markers and advanced lipid variables, including ApoA and ApoB and lipoprotein(a), as input. The risk score was defined by normalising the risk function by a fixed value, the average risk of the training set. To fit the non-linear model &gt;400,000 participants were used as training set and &gt;45,000 participants were used as test set for validation. The exponent of risk function was represented as a multilayer neural network. This allowed capturing interdependent behaviour of covariates, training a single model for all outcomes, and preserving heterogeneity of the groups, which is in contrast to CoxPH models which are traditionally used in risk scores and require homogeneous groups. The model was trained over 60 epochs and predictive performance was determined by the C-index with standard errors and confidence intervals estimated with bootstrap sampling. By inputing the variables described, one can obtain personalised hazard ratios for 3 major outcomes of CVD, cancer and all-cause mortality. Therefore, an individual with a risk Score of e.g. 1.5, at any time he/she has 50% more chances than average of experiencing the corresponding event. The proposed model showed the following discrimination, for risk of CVD (C-index = 0.8006), cancer incidence (C-index = 0.6907), and all-cause mortality (C-index = 0.7770) on the validation set. The CVD model is particularly strong (C-index &gt;0.8) and is an improvement on a previous CVD risk prediction model also based on classical risk factors with total cholesterol and HDL-c on the UK Biobank data (C-index = 0.7444) published last year (Welsh et al. 2019). Unlike classically-used CoxPH models, our model considers correlation of variables as shown by the table of the values of correlation in Figure 1. This is an accurate model that is based on the most comprehensive set of patient characteristics and biomarkers, allowing clinicians to identify multiple targets for improvement and practice active preventive cardiology in the era of precision medicine. Figure 1. Correlation of variables in the R(x) Funding Acknowledgement Type of funding source: None

scholarly journals Associations between dietary patterns and the incidence of total and fatal cardiovascular disease and all-cause mortality in 116,806 individuals from the UK Biobank: a prospective cohort study

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Min Gao ◽  
Susan A. Jebb ◽  
Paul Aveyard ◽  
Gina L. Ambrosini ◽  
Aurora Perez-Cornago ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Energy Density ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Saturated Fat ◽  
Dietary Advice ◽  
Free Sugars ◽  
Linear Association ◽  
Increased Risk ◽  
All Cause Mortality

Abstract Background Traditionally, studies investigating diet and health associations have focused on single nutrients. However, key nutrients co-exist in many common foods, and studies focusing solely on individual nutrients may obscure their combined effects on cardiovascular disease (CVD) and all-cause mortality. We aimed to identify food-based dietary patterns which operate through excess energy intake and explain high variability in energy density, free sugars, saturated fat, and fiber intakes and to investigate their association with total and fatal CVD and all-cause mortality. Methods Detailed dietary data was collected using a 24-h online dietary assessment on two or more occasions (n = 116,806). We used reduced rank regression to derive dietary patterns explaining the maximum variance. Multivariable Cox-proportional hazards models were used to investigate prospective associations with all-cause mortality and fatal and non-fatal CVD. Results Over an average of 4.9 years of follow-up, 4245 cases of total CVD, 838 cases of fatal CVD, and 3629 cases of all-cause mortality occurred. Two dietary patterns were retained that jointly explained 63% of variation in energy density, free sugars, saturated fat, and fiber intakes in total. The main dietary pattern was characterized by high intakes of chocolate and confectionery, butter and low-fiber bread, and low intakes of fresh fruit and vegetables. There was a positive linear association between the dietary pattern and total CVD [hazard ratio (HR) per z-score 1.07, 95% confidence interval (CI) 1.04–1.09; HRtotal CVD 1.40, 95% CI 1.31–1.50, and HRall-cause mortality 1.37, 95% CI 1.27–1.47 in highest quintile]. A second dietary pattern was characterized by a higher intakes of sugar-sweetened beverages, fruit juice, and table sugar/preserves. There was a non-linear association with total CVD risk and all-cause mortality, with increased risk in the highest quintile [HRtotal CVD 1.14, 95% CI 1.07–1.22; HRall-cause mortality 1.11, 95% CI 1.03–1.19]. Conclusions We identified dietary patterns which are associated with increased risk of CVD and all-cause mortality. These results help identify specific foods and beverages which are major contributors to unhealthy dietary patterns and provide evidence to underpin food-based dietary advice to reduce health risks.

scholarly journals All-cause mortality and location of death in patients with established cardiovascular disease before, during, and after the COVID-19 lockdown: a Danish Nationwide Cohort Study

2021 ◽  
Author(s):  
Jawad H Butt ◽  
Emil L Fosbøl ◽  
Thomas A Gerds ◽  
Charlotte Andersson ◽  
Kristian Kragholm ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Location Of Death ◽  
All Cause Mortality ◽  
History Of ◽  
Adjusted Incidence Rate ◽  
Artery Disease ◽  
Adjusted Incidence ◽  
Overall Mortality

Abstract Background On 13 March 2020, the Danish authorities imposed extensive nationwide lockdown measures to prevent the spread of the coronavirus disease 2019 (COVID-19) and reallocated limited healthcare resources. We investigated mortality rates, overall and according to location, in patients with established cardiovascular disease before, during, and after these lockdown measures. Methods and results Using Danish nationwide registries, we identified a dynamic cohort comprising all Danish citizens with cardiovascular disease (i.e. a history of ischaemic heart disease, ischaemic stroke, heart failure, atrial fibrillation, or peripheral artery disease) alive on 2 January 2019 and 2020. The cohort was followed from 2 January 2019/2020 until death or 16/15 October 2019/2020. The cohort comprised 340 392 and 347 136 patients with cardiovascular disease in 2019 and 2020, respectively. The overall, in-hospital, and out-of-hospital mortality rate in 2020 before lockdown was significantly lower compared with the same period in 2019 [adjusted incidence rate ratio (IRR) 0.91, 95% confidence interval (CI) CI 0.87–0.95; IRR 0.95, 95% CI 0.89–1.02; and IRR 0.87, 95% CI 0.83–0.93, respectively]. The overall mortality rate during and after lockdown was not significantly different compared with the same period in 2019 (IRR 0.99, 95% CI 0.97–1.02). However, the in-hospital mortality rate was lower and out-of-hospital mortality rate higher during and after lockdown compared with the same period in 2019 (in-hospital, IRR 0.92, 95% CI 0.88–0.96; out-of-hospital, IRR 1.04, 95% CI1.01–1.08). These trends were consistent irrespective of sex and age. Conclusions Among patients with established cardiovascular disease, the in-hospital mortality rate was lower and out-of-hospital mortality rate higher during lockdown compared with the same period in the preceding year, irrespective of age and sex.

Sign in / Sign up

Export Citation Format

Share Document