This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Heartfailure (HF) is a growing worldwide public health issue affecting 64 million people annually 1 and is associated with high mortality, lower quality of life and reduced physical capacity while placing substantial costs on the healthcare system. GBD 2017 Disease and Injury Incidence and Prevalence Collaborators.
Designed to give healthcare professionals an understanding of other methods of managing heartfailure, it is one of several modules in our heartfailure programme. Module first published: 23 September 2014 Revised module released: 01 November 2017 2nd revision released: 07 May 2020 3rd revision released: 24 May 2024
Designed to give healthcare professionals an understanding of the diagnosis of heartfailure, one of several modules in our heartfailure programme. Module first published: 23 September 2014 Revised module released: 01 November 2017 2nd revision released: 07 May 2020 3rd revision released: 24 May 2024
Designed to give healthcare professionals an understanding of the epidemiology and pathophysiology of heartfailure (HF). It is one of several modules in our heartfailure programme.
Designed to give healthcare professionals an understanding of surgical methods to manage heartfailure. It is one of several modules in our heartfailure programme. Module first published: 23 September 2014 Revised module released: 01 November 2017 2nd revision released: 07 May 2020 3rd revision released: 24 May 2024
Designed to give healthcare professionals an understanding of the clinical significance and treatment of electrolyte abnormalities and anaemia in patients with heartfailure. Module released: 01 November 2017 Revised module released: 07 May 2020 2nd revision released: 24 May 2024
Cardiac amyloidosis is a heterogeneous disease that results from the accumulation of abnormal proteins within the heart, impairing its ability to pump blood. Over time, the build-up of these proteins causes the heart muscle to stiffen, eventually leading to heartfailure, which can have dire outcomes if not found early.
Background Determining heartfailure (HF) phenotypes in routine electronic health records (EHR) is challenging. We aimed to develop and validate EHR algorithms for identification of specific HF phenotypes, using Read codes in combination with selected patient characteristics. Methods We used The Healthcare Improvement Network (THIN).
Aim The aim of this study was to determine the best clinical predictors of acute heartfailure needing mechanical ventilation (MV) in the first 48 h of evolution of patients admitted because of acute coronary syndrome (ACS). Methods We analyzed a cohort of patients admitted for ACS between February 2017 and February 2018.
Patients who underwent PCI from 2009 to 2017 were identified from our institutional National Cardiovascular Disease Registry (NCDR) CathPCI database. Design This was an observational retrospective cohort analysis. Patients were stratified by pre-PCI LVEF: preserved (≥50%), mildly reduced (41%–49%) and reduced (≤40%) LVEF.
BackgroundPulmonary hypertension (PH) is highly prevalent in patients with heartfailure with preserved ejection fraction (HFpEF), and it is a strong predictor of adverse outcomes. The patients underwent invasive cardiac catheterization and simultaneous echocardiography at rest and during exercise.
women) from Danish nationwide registers in 1999 to 2017. From 1999 to 2002 to 2003 to 2017, allcause mortality risk (95% CI) declined from 56.4% (55.8%57.0%) Stratification according to the Hospital Frailty Risk Score resulted in (1) 102 635 (78%) nonfrail, (2) 26 054 (20%) moderately frail, and (3) 2609 (2%) severely frail patients.
Gorter TM, van Veldhuisen DJ, Bauersachs et al Right heart dysfunction and failure in heartfailure with preserved ejection fraction: mechanisms and management. Position statement on behalf of the HeartFailure Association of the European Society of Cardiology. Eur J Heart Fail. Epub 2017 Oct 16.
The purpose of this study is to analyze 30-day readmission rates in elective and nonelective CAS and CEA procedures.Methodology:The 2017 National Readmission Database is queried for hospital admissions for CAS and CEA procedures. Hospital readmission rates can help identify the optimal strategy to minimize post-procedural complications.
Despite strong recommendations for referral of individuals with coronary heart disease (CHD) and heartfailure (HF) to cardiac rehabilitation (CR) programmes in clinical guidelines, global access remains limited, and participation remains poor.
Circulation: HeartFailure, Volume 16, Issue 11 , Page e010618, November 1, 2023. BACKGROUND:Obesity and adiposity are associated with an increased risk of heartfailure with preserved ejection fraction (HFpEF); yet, specific underlying mechanisms remain unclear.
METHODS:The J-HOP study enrolled outpatients with ≥1 cardiovascular risk factor between 2005 and 2012, with follow-up until March 2015 and extended follow-up from December 2017 to May 2018. 2.00] for overall cardiovascular disease and 2.68 [95% CI, 1.34–5.38]
His medical history includes hypertension, a decade-long battle with diabetes, ischemic heart disease, a coronary bypass graft surgery ten years ago, a diagnosis of congestive heartfailure for the last five years, and a prior ICD implantation five years ago. Thus VT is very probable.
We compared the risk of adverse events between hypertensive patients using valsartan and a propensity score–matched group using nonrecalled angiotensin receptor blockers and angiotensin‐converting enzyme inhibitors.Methods and ResultsWe used Optum's deidentified Clinformatics Datamart (July 2017–January 2019).
Understanding ECG Machines Electrocardiogram machines are medical devices used to record the heart’s electrical activity. They are indispensable tools in diagnosing cardiac conditions such as arrhythmias, heart attacks, and heartfailure.
The device is a patented 3-lead, 2-channel wireless continuous ECG wearable device that allows physicians the ability to address and assess sleep and heart health remotely. American Heart Association (2021). Sleep apnea worsens heart disease, yet often untreated. 2017, November 8). David's Medical Center. Kingshott, R.
Patients had recent-onset nonischemic cardiomyopathy defined by LVEF 45% and development of symptoms or signs of heartfailure within the past 6 months. Detailed voltage maps of the left ventricular endocardium were generated using the CARTO electroanatomic mapping system.
Background:The current AHA stroke prevention guidelines give Class 1 recommendations that patients with AIS and diabetes should receive glucose-lowering agents with cardiovascular benefit to reduce risk of MACE. Of these patients 60/2045 (2.9%) were on GLP1RA while 35/2045 (1.7%) were on SGTLi for total of 4.6%.
We utilized a multi-state database to examine myocardial infarction (MI) risk post stroke or CAD to estimate cardiovascular complication risk.Method:We analyzed State Inpatient Database from New York (2011-2017) and Florida (2011-2019). 5.21, P < 0.001; HR 1.67, 95% CI 1.02-2.73, 2.06, P = 0.60) (Figure). 1.58, P = 0.42).Conclusion:This
Methods and results We evaluated a case series of consecutive patients hospitalized for suspected ‘hot-phase cardiomyopathy’ in two Italian centres from June 2017 to March 2022 (median follow-up 18 months) that underwent both endomyocardial biopsy (EMB) and genetic testing. Apoptosis was confirmed with TUNEL assay.
When OMI is captured in this early phase, there exists the highest amount of salvageable myocardium and least likelihood of heartfailure at hospital discharge. This grading system is the time sensitive prelude to Q-wave (irreversible transmural scar) formation. Here are two examples of HATW’s in the setting of confirmed LVH.
JACC 69(23):1694-1703; April 4, 2017. S-wave is in V2 = 17 mm S-wave V4 = 9 mm Total = 26 (not greater than 28), so not LVH by the new rule! Nevertheless, it has the look of LVH. Peguero JG et al. Electrocardiographic criteria for the diagnosis of left ventricular Hypertrophy. Still, sensivity was only 62%, with greater than 90% specificity.
Objective This study aimed to investigate the association between heartfailure (HF) severity measured based on brain natriuretic peptide (BNP) levels and future bleeding events after percutaneous coronary intervention (PCI).
21, 2024 — The incidence rate of heartfailure was 2- to 3-fold higher among American Indian populations than rates observed in studies focused on other population groups, such as African American, Hispanic or white adults, in a new study published in the Journal of the American Heart Association.
As a result, healthcare faces rising expenses from frequent emergency room visits, lengthy hospital stays, costly procedures like stent placements and bypass surgeries, as well as the long-term management of chronic conditions like heartfailure (HF). since March 2017.He And patients are feeling the financial burden, too.
This leaves a gap in the care of these patients and increases their risk for heart attack, stroke and heartfailure progression. HTN accelerates the progression of atherosclerosis and leads to increased risk of major cardiac events like heart attack, heartfailure, kidney disease and other end organ damage.
Abstract Aims It is unclear whether there is a causal relationship between social determinants of health (SDoH) and mortality in patients with chronic heartfailure (CHF). Methods and results A total of 1377 patients with CHF were enrolled in this multi-centre, prospective cohort study from September 2017 onwards.
BackgroundSarcopenia and hypoalbuminemia have been identified as independent predictors of increased adverse outcomes, including mortality and readmissions, in hospitalized older adults with acute decompensated heartfailure (ADHF). Demographic and clinical data were collected, including serum albumin levels at admission and discharge.
There are significant data that show that if you have obesity, you have a high risk of developing coronary heart disease, heartfailure, type 2 diabetes (T2D) or risk factors such as hypertension and dyslipidemia. [1] Is the obesity paradox a real phenomenon?
Pioneering techniques have emerged since the previous consensus in 2017, 3 requiring new advice on who should receive this procedure and how to perform it in the safest and most effective manner,” Tzeis added. 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation.
Incident HF hospitalizations or HF-related deaths through 2017 were adjudicated. Neighborhood disadvantage was assessed using aZscore of 6 census tract variables (2000 US Census) and categorized as quartiles. Multivariable-adjusted Cox regression was used to examine the association between neighborhood disadvantage and incident HF.
2017 Dec 12;89(24):2447-2454. 13 Statins and risks of dementia among patients with heartfailure: a population-based retrospective cohort study in Hong Kong. Alzheimers Dement. 2023 Mar 22. 3 Midlife cardiovascular fitness and dementia: A 44-year longitudinal population study in women. 2018 Apr 10;90(15):e1298-e1305.
Since 2017, a plethora of AI-based algorithms for interpreting ECGs have been approved by the FDA in the US, ranging from the detection and diagnosis of arrythmias, to more recent advances in the diagnoses of structural and ischemic diseases.
Journal of the American Heart Association, Ahead of Print. BackgroundHeart failure is a common complication after myocardial infarction (MI) and is associated with increased mortality. Whether remote heartfailure symptoms assessment after MI can improve risk stratification is unknown. 5.0), Brier score of −0.6 (95%
The article also includes links to DAIC channels (on peripheral artery disease, stroke, heartfailure, peripheral artery disease, cardiovascular clinical studies, and more) focused on specific areas of news coverage. People with diabetes are twice as likely to have heart disease or a stroke than people without diabetes. -
The value of the CHA2DS2-VASc score in predicting adverse outcomes during pregnancy was also assessed.Study Design:The National Inpatient Sample (NIS) database was queried to identify pregnancy-related hospitalizations from 2008 to 2017. per 10,000 in 2017 (Ptrend< 0001). The incidence increased from 2.18
years; 67% men, 33% women) with severely symptomatic HOCM who underwent PIMSRA from October 2016 to September 2017 were included. Malignant ventricular arrhythmia and heartfailure events were not observed. Methods 27 patients (age: 44.3±15.5 Results One patient died of intracerebral haemorrhage 1 year post procedurally.
We organize all of the trending information in your field so you don't have to. Join thousands of users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content