Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
1,395
result(s) for
"Cardiologists"
Sort by:
Cardiologist Falsified Data, Harvard Says
Cardiologist Falsified Data, Harvard Says, by Gina Kolata is reviewed.
Journal Article
Son Görev : roman
Een jonge cardioloog in een ziekenhuis in Chicago komt in conflict met de farmaceutische industrie als hij niet wil meewerken aan de introductie van een nieuw medicijn. NL-ZmNBD.
Knowledge, attitudes, and practices of cardiac rehabilitation and barriers to referral among cardiologists in Saudi Arabia: A cross-sectional survey
Cardiac rehabilitation (CR) is an effective secondary prevention intervention, yet it is globally underutilized. Physicians play a key role in CR uptake by eligible patients through encouragement and referral to the program. This study assessed the knowledge, attitudes, and practices concerning CR among cardiologists in the Kingdom of Saudi Arabia (KSA), identified barriers to patient referrals to CR programs, and proposed strategies to increase service adoption.
We conducted an observational cross-sectional study in which an online questionnaire was distributed via email to cardiologists and cardiology fellows during the Saudi Heart Association's annual conference in October 2023 and through social media platforms. Participants were required to have at least six months of clinical practice in managing patients, including those with coronary heart disease (CHD) following percutaneous coronary intervention (PCI).
Of the 140 cardiologists surveyed, 106 completed more than 95% of the questionnaires. The cohort, which was primarily male (88.7%), included 67% consulting cardiologists, 15.1% fellows, and 17.9% specialists in areas such as general cardiology (29.2%), interventional cardiology (21.7%), and echocardiography (20.8%). Major barriers included a lack of local CR services (72.6%) and inadequate referral systems (41.5%). Despite the challenges and mixed views on the effectiveness of CR in KSA, attitudes toward CR were largely positive. The knowledge scores averaged 7.97, indicating a moderate to high understanding of CR services and benefits. Referral practices vary widely and are influenced by demographic and workplace factors, mainly geographic location.
While cardiologists in KSA generally have reasonable knowledge of CR and its benefits, substantial barriers hinder its broader implementation. There is enthusiasm for adopting diverse CR models; thus, further research is necessary to explore and evaluate alternative CR approaches, including home-based CR and telerehabilitation, to enhance patient care.
Journal Article
ANMCO Position paper: Choosing Wisely - ANMCO proposals for 2023
Nowadays, a progressive and exponential increase in the use of invasive and non-invasive instrumental diagnostics and therapeutic services has been shown. Although unnecessary, instrumental examinations are often largely prescribed, replacing clinical evaluation. Their correct use, on the contrary, would address precise epidemiological and clinical contexts. Therefore identifying whether a test or procedure is appropriate or not plays a crucial role in clinical practice. Several documents from scientific societies and expert groups indicate the most appropriate cardiovascular diagnostic and therapeutic procedures. The international Choosing Wisely campaign invited the main scientific societies to identify five techniques or treatments used in their field that are often unnecessary and may potentially damage patients. The Italian Association of Hospital Cardiologists (ANMCO) joined the project identifying the five cardiological practices in our country at greater risk of inappropriateness in 2014. This list has recently been updated. Moreover, possible solutions to this problem have been proposed.
Journal Article
Accuracy and variability of cardiologist interpretation of single lead electrocardiograms for atrial fibrillation: The VITAL-AF trial
Screening for atrial fibrillation (AF) using consumer-based devices capable of producing a single lead electrocardiogram (1L ECG) is increasing. There are limited data on the accuracy of physician interpretation of these tracings. The goal of this study is to assess the sensitivity, specificity, confidence, and variability of cardiologist interpretation of point-of-care 1L ECGs.
Fifteen cardiologists reviewed point-of-care handheld 1L ECGs collected from patients aged 65 years or older enrolled in the VITAL-AF clinical trial [NCT035115057] who underwent cardiac rhythm assessments with a 1L ECG using an AliveCor KardiaMobile device. Random sampling of 1L ECGs for cardiologist review was stratified by the AliveCor algorithm interpretation. A 12L ECG performed on the same day for clinical purposes was used as the gold standard. Cardiologists each reviewed a common sample of 200 1L ECG tracings and completed a survey associated with each tracing. Cardiologists were blinded to both the AliveCor algorithm and same day 12L ECG interpretation. For each tracing, study cardiologists were asked to assess the rhythm (sinus rhythm, AF, unclassifiable), report their assessment of the quality of the tracing, and rate their confidence in rhythm interpretation. The outcomes included the sensitivity, specificity, variability, and confidence in physician interpretation. Variables associated with each measure were identified using multivariable regression.
The average sensitivity for AF was 77.4% (range 50%-90.6%, standard deviation [SD]=11.4%) and the average specificity was 73.0% (range 41.3%-94.6%, SD = 15.4%). The mean variability was 30.8% (range 0%-76.2%, SD = 23.2%). The average reviewer confidence of 1L ECG rhythm assessment was 3.6 out of 5 (range 2.5-4.2, SD = 0.6). Patient and tracing factors associated with sensitivity, specificity, variability, and confidence were identified and included age, body mass index, and presence of artifact.
Cardiologist interpretation of point-of-care handheld 1L ECGs has modest diagnostic sensitivity and specificity with substantial variability for AF classification despite high confidence. Variability in cardiologist interpretation of 1L ECGs highlights the importance of confirmatory testing for diagnosing AF.
[Display omitted]
Journal Article
Cardiac testing choices by physician specialty in the CMR-IMPACT trial
Heterogeneity is observed in the care of patients with chest pain. We investigate the association of physician specialty and diagnostic testing among patients admitted for suspected acute coronary syndrome (ACS).
This is a secondary analysis of the CMR-IMPACT multicenter randomized controlled trial in which patients with suspected ACS were admitted and randomized to undergo invasive angiography or non-invasive CMR stress imaging. Admitting physician was dichotomized to interventional cardiologist (IC) or not (e.g. hospitalist). We describe adherence to protocol and angiography during the index visit by treatment arm and admitting physician specialty. A generalized estimating equation accounting for clustering within physician was used to evaluate significance and adjusted for randomization arm.
The 258 enrolled patients from 2013 to 2018 had a mean age of 60.7 (SD ± 10.9) years, 40.3 % (104/258 were female), and 64.7 % (167/258) were white race. ICs were the admitting physicians for 50.4 % (130/258) of the patients. Index angiography was performed more often among patients admitted by IC versus other physicians, 65.4 % (85/130) versus 53.1 % (68/128), respectively; aOR 1.75 (95 % CI 1.14–2.68). Among patients randomized to an invasive strategy, higher protocol adherence was observed in those admitted by IC [85.3 % (58/68)] versus other physicians [64.5 % (40/62)]; OR 2.82 (95 % CI 1.08–7.38). For patients randomized to the CMR-based strategy, adherence to protocol was similar for IC [67.7 % (42/62)] and other physicians [66.7 % (44/66)]; OR 0.82 (95 % CI 0.35–1.94).
Invasive angiography was more frequent among patients admitted by interventional cardiologists compared to other physicians.
Journal Article
Brief report: U.S. trends in use of colchicine by cardiologists and other specialties, 2018 to 2024
Colchicine has emerged as an effective agent for reducing ASCVD based on recent large cardiovascular outcome trials and exerts its benefit through targeting inflammation. In light of the robust body of data and FDA approval of low-dose colchicine for ASCVD prevention, this paper aimed to use the National Prescription Audit to quantify the volume and trends of colchicine prescriptions dispensed through U.S. retail pharmacies between March 2018 and February 2024. Despite a 6% increase in total monthly prescriptions since 2020, which was driven primarily by cardiologists, this specialty still represents only 2.8%-4% of the national monthly precription totals with small absolute numbers (ie estimated ∼4000 incremental prescriptions/month since 2020), suggesting limited cardiologist adoption of colchicine for ASCVD prevention despite favorable clinical trial data.
[Display omitted]
Journal Article
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Computerized electrocardiogram (ECG) interpretation plays a critical role in the clinical ECG workflow1. Widely available digital ECG data and the algorithmic paradigm of deep learning2 present an opportunity to substantially improve the accuracy and scalability of automated ECG analysis. However, a comprehensive evaluation of an end-to-end deep learning approach for ECG analysis across a wide variety of diagnostic classes has not been previously reported. Here, we develop a deep neural network (DNN) to classify 12 rhythm classes using 91,232 single-lead ECGs from 53,549 patients who used a single-lead ambulatory ECG monitoring device. When validated against an independent test dataset annotated by a consensus committee of board-certified practicing cardiologists, the DNN achieved an average area under the receiver operating characteristic curve (ROC) of 0.97. The average F1 score, which is the harmonic mean of the positive predictive value and sensitivity, for the DNN (0.837) exceeded that of average cardiologists (0.780). With specificity fixed at the average specificity achieved by cardiologists, the sensitivity of the DNN exceeded the average cardiologist sensitivity for all rhythm classes. These findings demonstrate that an end-to-end deep learning approach can classify a broad range of distinct arrhythmias from single-lead ECGs with high diagnostic performance similar to that of cardiologists. If confirmed in clinical settings, this approach could reduce the rate of misdiagnosed computerized ECG interpretations and improve the efficiency of expert human ECG interpretation by accurately triaging or prioritizing the most urgent conditions.
Journal Article