Citations

Abstract Background Existing clinical preoperative risk assessment tools such as the Revised Cardiac Risk Index (RCRI) have been used extensively to predict perioperative major adverse cardiovascular events (MACE). Electrocardiogram (ECG) analysis using Deep Learning can identify hidden features that human eyes cannot identify and might help further risk stratify patients undergoing noncardiac surgery. Objective We aimed to develop a Deep Learning model that predicts perioperative MACE in patients undergoing elective noncardiac surgeries. Methods We included patients ≥ 18-year-old who underwent elective non-cardiac surgery between 2000-2021. MACE was validated in duplicate and were defined as a composite of in-hospital myocardial infarction, cardiac arrest or mortality. A convolutional neural network was developed using ECGs within 30 days before surgery. We randomly split subjects into training, internal validation, and testing datasets in a 7:1:2 ratio. Performance was evaluated using the area under the receiver operator characteristics curve (AUC) values on the testing dataset. Models trained included AI-ECG models to predict in-hospital MACE and to predict in-hospital mortality, and AI-ECG+RCRI models to predict in-hospital MACE and to predict in-hospital mortality. All models were validated using 30-day validated outcomes (MACE or all-cause mortality) in a community-based cohort and were compared with the Revised Cardiac Risk Index (RCRI) score using AUC values. Findings: We included 195,214 patients who underwent a total of 241,999 surgeries. 169,214 ECGs were used in the training dataset, 24,234 in the internal validation dataset, and 48,551 in the testing dataset. In the test cohort, the AI-ECG algorithm discriminated risk for in-hospital MACE with an AUC of 0.82 (95% CI 0.79-0.85). The algorithm similarly discriminated 30-day MACE with an AUC value of 0.79 (95% CI 0.77-0.81) surpassing the discrimination of the RCRI score AUC of 0.69 (95% CI 0.66-0.72). All models’ performances are shown in Figure1A. The AI-ECG model to predict in-hospital mortality had an AUC of 0.83 (95% CI 0.80-0.86) and predicted 30-day mortality with an AUC of 0.80 (95% CI 0.77-0.82). Other models’ performances are shown Figure1B. Training the AI-ECG models including RCRI data did not improve the AI-ECG models’ performance. Conclusion AI-ECG models with no additional clinical data can improve perioperative risk prediction in non-cardiac surgery, outperforming a conventional and widely used risk stratification tool such as the RCRI.

Abstract Purpose To assess incidence and risk factors for anthracycline-induced left ventricular dysfunction, and associated mortality in order to inform patients and providers of the risk, as well as for clinical trial endeavours. Background Anthracyclines (ACs) are very effective cancer therapeutics, but their use is confronted by the risk of cardiotoxicity. Estimates of AC-induced cardiotoxicity based on systematic analyses are limited and have not recently been defined. We present here a systematic review and meta-analysis of the incidence of anthracycline induced subclinical (AC-LVD) and clinical LV dysfunction (AC-CHF) and AC-CHF related mortality in non-liposomal AC recipients over the last 3 decades. Methods We searched Ovid MEDLINE(R), Embase, Cochrane Database and other major databases from their inception until June 22, 2023 for studies examining the rate of AC induced cardiomyopathy in patients receiving ACs and anthraquinones for haematologic, breast (BC) and sarcomatous malignancies. Covidence was used to aid with the management of our systematic review. Screening of abstracts and data extraction was independently performed by 2 reviewers. Results 6,365 abstracts were reviewed, of which 74 were included in the final analysis. 72 studies (n=41,138) reported data on AC-LVD, and 47 studies (n=27,012) reported data on AC-CHF. The average age was 53 years and 50% of the patients were female. Data on cardiac function at baseline was available in only 70% of the studies. Overall, AC-LVD occurred in 8.2% (95% CI 6.8%-10.2% I2 97%) (Fig 1). AC-CHF was noted in 2.2% (95% CI 1.6% to 2.9%, I2 91%) (Fig 2A), mortality related to decompensated AC-CHF was 0.5% (95% CI 0.3%-0.9%, I2 88%) (Fig 2B) while total mortality rate among AC recipients was 24.9% (95% CI 14.8-38.7%, I2 99%). Incidence of AC-LVD was higher in doxorubicin recipients (vs other ACs 10.5% vs 5-5.6%), studies from North America & Asia (vs other regions; 9.3-9.6% vs 6.7%), and prospective studies (vs retrospective studies; 8.7% vs 7.5%). AC-LVD was more common in BC patients (vs other cancers; 8.7% vs 3.5-7.2%) while AC-CHF was more common in lymphoma patients (8.5% vs 1.6-4.1%). AC-LVD was 4.6 times (95% CI 1.2-17.1, p=0.02) more likely in patients with a mean age >70 (vs <70). 21 definitions for AC-LVD were used across the studies. The most common definition (15 studies; n=7904) was "any decline in LVEF from baseline" resulting in a 5.8% rate of AC-LVD. Conclusions AC-LVD and AC-CHF has been reported in up to 10% and 3% of AC recipients, respectively. AC-CHF related mortality occurs in <1% of anthracycline recipients and has a 2-3% share in overall mortality among these patients. The type of malignancy and anthracycline can influence the rate of AC-LVD, AC-CHF and AC-CHF related mortality. Global region, age of the patient population and study design also seem to influence incidence rates. There is noteworthy heterogeneity in definitions for cardiotoxicity across studies.

Abstract Background Evidence suggests an association between obesity and the risk for cardiomyopathy development, however robust evidence is still lacking. In this study we sought to explore the relationship of obesity with hypertrophic (HCM) and dilated cardiomyopathy (DCM) and possible interactions with sex using large scale epidemiological real-world data. Methods and Results We analyzed data from the Nationwide Inpatient Sample (NIS) of U.S. hospitalizations for the years 2015-2019. There were a total of n=46,934 admissions with a diagnosis of HCM and n=170,924 with DCM. There was a significant interaction between cardiomyopathies’ diagnosis with sex and age subgroups; the rates of both DCM and HCM increased with age (p<0.001 for both); DCM diagnosis was significantly higher in males compared with females (0.85% vs. 0.35%, p<0.001). After adjustment for age, sex, race, and presence of arterial hypertension there was a significant stepwise positive association between obesity and the population rates of both cardiomyopathy subtypes. For hospitalized patients with a body mass index (BMI) ≥30kg/m2 there was an odds ratio (OR) of 1.68 (95%CI: 1.55-1.81, p<0.001) for HCM andOR=1.82 (95%CI: 1.79-1.84, p<0.001) for DCM. More importantly, the positive relationship between a cardiomyopathy diagnosis (HCM or DCM) with increasing BMI was driven by the male sex (p<0.001 for both) and it was non-significant in females. Conclusions The findings from this nationwide observational analysis support a sexual dimorphism in the relationship between obesity and hypertrophic or dilated cardiomyopathy, which should be further investigated.Cardiomyopathy-obesity

Abstract Background Sarcoidosis is a disease characterized by non-caseating granulomas and may affect any organ system. Cardiac involvement may lead to conduction abnormalities, heart failure, or malignant ventricular arrhythmias. As sarcoidosis may present with heterogeneous manifestations, a detailed past medical history may provide clues that help guide further workup. We present a rare case of a patient with undiagnosed oral sarcoidosis who subsequently experienced cardiac arrest from cardiac involvement. Case summary A 43-year-old male with a history of palpitations and periodontitis consistent with oral sarcoidosis presents after experiencing sudden cardiac arrest. He was subsequently diagnosed with cardiac and pulmonary sarcoidosis. With contemporary management (both immunosuppression and antiarrhythmics), he has not experienced any recurrent arrhythmias. Discussion In the setting of cardiac arrest and non-ischaemic cardiomyopathy, a careful clinical history and targeted cardiac testing may help clinicians determine when to consider cardiac sarcoidosis as a diagnosis. While oral sarcoidosis is a very rare condition, this case highlights how infrequent manifestations of sarcoidosis may be encountered in the clinical setting.

Abstract Background and Aim Following the approval of the first agent for the management of metabolic dysfunction‐associated steatohepatitis (MASH), identification of patients with fibrotic MASH (MASH with NAS ≥ 4 and fibrosis stage ≥ 2) is crucial. We assessed the performance of FibroScan‐aspartate aminotransferase (AST) score (FAST) for ruling in/out fibrotic MASH. Methods We searched Medline, Cochrane Library, Web of Science, Scopus, and gray literature sources up to January 11, 2024. Studies were eligible if they assessed the accuracy of FAST score for the detection of fibrotic MASH using biopsy as the reference standard at previously reported thresholds (FAST ≥ 0.67 for ruling‐in and ≤ 0.35 for ruling‐out fibrotic MASH). We calculated pooled sensitivity and specificity estimates for FAST thresholds alongside 95% confidence intervals following bivariate random‐ effects models. We assessed the certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation framework. Results We included 16 studies with 8838 participants. A FAST score ≥ 0.67 yielded a pooled specificity of 0.87 (0.82–0.90) while a FAST score ≤ 0.35 yielded a summary sensitivity of 0.88 (0.83–0.91). At a prevalence of 30%, the positive predictive value for ruling‐in fibrotic MASH was 60% while the negative predictive value for ruling‐out the target condition was 91%. AST levels, cirrhosis prevalence, and number of pathologists reviewing biopsies were sources of heterogeneity among studies. The certainty of evidence was low to very low. Conclusions FAST score can be used as a triage test for ruling out fibrotic MASH. Nevertheless, its low positive predictive value necessitates sequential testing for ruling‐in fibrotic MASH.

PURPOSE International medical graduates (IMGs) are an essential component of the oncology workforce in the United States, comprising a third of all practicing oncologists and almost half of hematology/oncology fellows. In this article, we discuss the contributions of IMGs in the US oncology workforce, review unique challenges faced by IMGs, and propose potential solutions to overcome these challenges. METHODS ASCO's IMG Community of Practice was established with the mission to connect, mentor, guide, raise awareness, and overcome the challenges unique to IMGs interested in pursuing medical oncology in the United States. The content of this article is based on discussions at the IMG Community of Practice meetings at ASCO's 2023 and 2024 Annual Meetings. RESULTS IMGs bring an inherent diversity of thought and experience to the oncology workforce. They provide high-quality, culture- and language-concordant care to a diverse population of patients with cancer. However, IMGs in oncology face significant hardships throughout their careers, including visa-related restrictions, psychosocial and cultural struggles, as well as differential treatment while applying for residency and fellowship training, and early career positions. Greater awareness of these challenges among the members of the hematology/oncology community, along with institutional and individual efforts to support IMGs, is warranted. CONCLUSION We encourage oncology professionals and institutions to join our efforts in recognizing the unique paths of IMGs and providing support and advocacy to maximize the potential of IMGs in the US oncology workforce.

Abstract Background and Aims Current guidelines suggest that asymptomatic atrial fibrillation (AF) is independently associated with increased risks of stroke and mortality compared with symptomatic AF. Considering that recent investigations have provided conflicting results, the present study aimed to evaluate the association between symptom status and clinical outcomes in patients with AF. Methods Medline, Cochrane Library, and Scopus were searched until 25 March 2024. Triple-independent study selection, data extraction and quality assessment were performed. Evidence was pooled using random-effects meta-analyses. Results Thirty-six studies (217 850 participants) were included. Based on the frequentist analysis, symptomatic individuals had no significant difference in the risk of all-cause mortality [hazard ratio (HR) .97, 95% confidence interval (CI) .80–1.17], cardiovascular mortality (HR 1.04, 95% CI .72–1.49), thromboembolism (HR 1.06, 95% CI .87–1.28), stroke (HR 1.06, 95% CI .84–1.34), hospitalization (HR 1.34, 95% CI .89–2.02), and myocardial infarction (HR .98, 95% CI .70–1.36), compared to the asymptomatic group. Symptomatic patients had a 33% increased risk of new-onset heart failure (HR 1.33, 95% CI 1.19–1.49) and a 30% lower risk of progression to permanent AF (HR .70, 95% CI .54–.89). The Bayesian analysis yielded comparable results, yet the association between symptom status and new-onset heart failure was not significant (HR 1.27, 95% credible interval .76–1.93; Bayes factor = 1.2). Symptomatic patients had higher odds of receiving antiarrhythmic drugs (odds ratio [OR] 1.64, 95% CI 1.33–2.03) and ablation therapy (OR 1.47, 95% CI 1.06–2.05) compared to asymptomatic cases. Conclusions The risk of major clinical outcomes did not differ between individuals with and without AF-related symptoms. Asymptomatic patients had a greater hazard of progression to permanent AF.

Importance Numerous studies show that early palliative care improves quality of life and other key outcomes in patients with advanced cancer and their caregivers, although most lack access to this evidence-based model of care. Objective To evaluate whether delivering early palliative care via secure video vs in-person visits has an equivalent effect on quality of life in patients with advanced non–small cell lung cancer (NSCLC). Design, Setting, and Participants Randomized, multisite, comparative effectiveness trial from June 14, 2018, to May 4, 2023, at 22 US cancer centers among 1250 patients within 12 weeks of diagnosis of advanced NSCLC and 548 caregivers. Intervention Participants were randomized to meet with a specialty-trained palliative care clinician every 4 weeks either via video visit or in person in the outpatient clinic from the time of enrollment and throughout the course of disease. The video visit group had an initial in-person visit to establish rapport, followed by subsequent virtual visits. Main Outcomes and Measures Equivalence of the effect of video visit vs in-person early palliative care on quality of life at week 24 per the Functional Assessment of Cancer Therapy-Lung questionnaire (equivalence margin of ±4 points; score range: 0-136, with higher scores indicating better quality of life). Participants completed study questionnaires at enrollment and at weeks 12, 24, 36, and 48. Results By 24 weeks, participants (mean age, 65.5 years; 54.0% women; 82.7% White) had a mean of 4.7 (video) and 4.9 (in-person) early palliative care encounters. Patient-reported quality-of-life scores were equivalent between groups (video mean, 99.7 vs in-person mean, 97.7; difference, 2.0 [90% CI, 0.1-3.9]; P = .04 for equivalence). Rate of caregiver participation in visits was lower for video vs in-person early palliative care (36.6% vs 49.7%; P < .001). Study groups did not differ in caregiver quality of life, patient coping, or patient and caregiver satisfaction with care, mood symptoms, or prognostic perceptions. Conclusions and Relevance The delivery of early palliative care virtually vs in person demonstrated equivalent effects on quality of life in patients with advanced NSCLC, underscoring the considerable potential for improving access to this evidence-based care model through telehealth delivery. Trial Registration ClinicalTrials.gov Identifier: NCT03375489