Political orientation of online media sources and reporting of Covid-19 vaccine myocarditis.

BACKGROUND: Political orientation may play a formative role in perceptions of risk associated with COVID-19 vaccination including vaccine myocarditis (CVM). Whether political alignment of news sources plays a role in perception of this risk is unknown. OBJECTIVE: We examined the relationship between political orientation of online media sites and aspects of reporting of CVM. METHODS: Media sites were classified as "left" or "right" biased using the Allsides media bias rating report. For each site "COVID vaccine myocarditis" was searched in articles posted May 2021 to December 2022. Each search return was reviewed for the following: 1) Did it contain numerical data regarding CVM risk? 2) Did it report benefits of covid vaccination? 3) Did it mention covid infection-related myocarditis? Monthly reports of vaccine-related adverse events were obtained from the Vaccine Adverse Events Reporting System (VAERS). RESULTS: A total of 487 online reports regarding CVM were reviewed. Comparison of monthly report volumes from left vs. right biased media sources demonstrated significant correlation (r = 0.546, p = 0.013). Additionally monthly reporting of CVM was temporally related to monthly volume of VAERS reporting (r = 0.519, p = 0.023). These data suggest that monthly reporting volumes were driven by availability of information regarding CVM rather than media political alignment. Left biased media sources were significantly more likely to include numerical CVM data vs. right biased sources (76.6% vs. 24.3%, p<0.001) and likewise were more likely to include data supporting benefits of covid vaccination (85.1% vs. 21.7%. p<0.001). In contrast, there was no difference regarding mention of COVID-19 infection-related myocarditis (24.5% vs. 24.3%, p = 0.957). CONCLUSION: Political orientation of online news sites was not associated with frequency of CVM reports but was related to report content, most notably whether reports included numerical data regarding CVM risk. These differential reporting characteristics may contribute to the relationship between political orientation and patient conceptualization of risk of CVM.

COVID-19 vaccination and myocarditis: A review of current literature.

Vaccination for coronavirus disease 2019 (COVID-19) is a critical strategy in controlling the current pandemic of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). After widespread COVID-19 vaccine imple-mentation, isolated case reports about myocarditis as a potential adverse reaction started coming. As of November 12, 2021, Centers for Disease Control and Prevention (CDC) has reported 1793 cases of myocarditis or pericarditis among young people with age 12-29 years, most cases have been reported in the male adolescent age group after the second dose of mRNA COVID-19 vaccines. It is very important to monitor the safety standards and adverse reactions of vaccines to effectively implement the vaccination policies. The CDC and the United States Food and Drug Administration actively monitor vaccine-associated adverse reactions a well-known platform such as Vaccine Adverse Event Reporting System. CDC continues to recommend COVID-19 vaccines and booster doses for eligible individuals (age limit according to the type of vaccine) after careful consideration from risk-benefit assessment and favorable outcomes from vaccination. Mechanisms behind COVID-19 vaccine-induced myocarditis are not clear yet but several possibilities such as molecular mimicry between the spike protein of SARS-CoV-2 and self-antigens, immune response to mRNA, and activation of host immunological system, trigger of the pre-existing dysregulated immunological system have been documented in the literature. Overall, data suggests a good prognosis, especially in young patients. In this review article, we cover currently available data on COVID-19 vaccine-related myocarditis incidence, concerns, possible mechanisms of myocarditis, current treatment, and outcome trends, risk vs benefit assessment of COVID-19 vaccination in this current pandemic.

The Association of Cardiac Biomarkers, the Intensity of Tc99 Pyrophosphate Uptake, and Survival in Patients Evaluated for Transthyretin Cardiac Amyloidosis in the Early Therapeutics Era.

BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) is an increasingly recognized cause of heart failure. Given the expansion of noninvasive diagnosis with 99mTc-pyrophosphate (99mTc-PYP) scanning, and clinical use of the transthyretin stabilizer, tafamidis, we sought to examine the interplay of planar imaging heart-to-contralateral lung (H/CL) ratio, cardiac biomarkers, and survival probability in a contemporary cohort of patients referred for noninvasive evaluation of ATTR-CM. METHODS: This single-center retrospective cohort study included 351 consecutive patients who underwent a standardized imaging protocol with 99mTc-PYP scanning for the evaluation of ATTR-CM from January 1, 2018, to January 1, 2020. After the exclusion of light chain amyloidosis, patients were characterized as scan consistent with ATTR (+ATTR-CM) or scan not consistent with ATTR (-ATTR-CM) using current guidelines. Linear regression was used to examine the relationship between biomarkers and H/CL and univariate Cox proportional hazards models were used to assess the probability of transplant-free survival. RESULTS: We included 318 patients in the analysis (n = 86 patients +ATTR-CM; n = 232 patients -ATTR-CM). The median follow-up time was 20.1 months. During the study period, 67% of +ATTR-CM patients received tafamidis (median treatment duration, 17 months). The median H/CL ratio was 1.58 (interquartile range, 1.40-1.75). An H/CL ratio of more than 1.6 or less than 1.6 did not seem to have an impact on survival probability in +ATTR-CM patients (P = .30; hazard ratio, 0.65; 95% confidence interval, 0.31-1.41). Cardiac biomarkers were poorly correlated with H/CL (troponin T, R2 = 0.024; N-terminal pro-B-type natriuretic peptide, R2 =0.023). The Gillmore staging system predicted survival probability in +ATTR-CM as well as in the entire cohort referred for scanning. There was a trend toward longer survival among those who were -ATTR-CM compared with +ATTR-CM (P = .051; hazard ratio, 0.64; 95% confidence interval, 0.40-1.00). CONCLUSIONS: At a large referral center, the intensity of 99mTc-PYP uptake (H/CL ratio) has neither correlation with cardiac biomarker concentrations nor prognostic usefulness in an analysis of intermediate term outcomes in the early therapeutics era. The H/CL ratio has diagnostic value, but offers little prognostic value in patients with ATTR-CM. Established staging schema were predictive of survival in this contemporary cohort, re-emphasizing the importance of cardiac biomarkers and renal function in assessing disease severity and prognosis.

Better prediction of stroke in atrial fibrillation with incorporation of cancer in CHA2DS2VASC score: CCHA2DS2VASC score.

Introduction: Atrial fibrillation (AF) is associated with an increased risk of stroke. Despite evidence linking cancer and thrombosis, cancer is not part of the CHA2DS2VASc score. Hypothesis: Cancer is an independent risk factor for thromboembolic stroke in patients with AF. Method: The SEER database was utilized to identify patients with lung, colon, breast, and prostate cancers with AF and no prior diagnosis of stroke and. compared to controls within the dataset. The primary endpoint was rates of stroke per 100 person-years. Cox regression modeling and a nested model comparing CHA2DS2VASc score (Model 1) with a complete model including cancer diagnosis (Model 2) were performed. Models were compared using Akaike Information Criterion (AIC) and Net Reclassification Index (NRI). A propensity-matched cohort with equivalent CHA2DS2VASc scores determining stroke-free survival was also performed. Results: A total of 101,185 patients were included in the analysis, with 48,242 in the Cancer and 52,943 in the Non-cancer Group. Stroke rate per 100 person-years was significantly higher in the Cancer Group. The CHA2DS2VASc model (Model 1) was compared against a model including cancer (Model 2) showing improved predictability as assessed by both NRI and AIC. Cox regression analysis calculated a hazard ratio of 1.085 for Cancer, which was comparable to age >75, female sex, and diabetes. Propensity matched Kaplan-Meier curve demonstrated a decreased probability of stroke-free survival in the Cancer Group. Conclusion: Cancers increase the risk of stroke in patients with AF. Consideration should be given to the addition of cancer to the clinical scoring system.

Association Between Atrial Uptake on Cardiac Scintigraphy With Technetium-99m-Pyrophosphate Labeled Bone-Seeking Tracers and Atrial Fibrillation.

BACKGROUND: Transthyretin cardiac amyloidosis (ATTR-CA) is an increasingly recognized disease, in which atrial fibrillation (AF) has been shown to be prevalent. Cardiac scintigraphy with technetium-99m-pyrophosphate (99mTc-PyP) labeled bone-seeking tracers is used to noninvasively make the diagnosis of ATTR-CA, based on ventricular myocardial uptake. Assessment of atrial wall uptake (AU) on 99mTc-PyP is currently not used in the clinical setting Methods: We analyzed a cohort of patients referred for 99mTc-PyP scan at a tertiary center to explore AU and associations between any and incident AF, ATTR-CA, and all-cause mortality. RESULTS: Among 580 patients included, 296 patients (51%) had a diagnosis of AF; 164 patients (28%) had scans consistent with ATTR-CA while 117 patients (20%) had AU. Of 117 patients with AU, 107 (91%) had any AF. In contrast, of 463 patients without AU 191(41%) had any AF. Of those with AU, 59/117(50%) patients had a 99mTc-PyP diagnosis of ATTR-CA while 58/117(50%) patients did not have such a diagnosis (P=1.00). Patients with AU had significantly more any AF (hazard ratio [HR], 1.03 [95% CI, 1.02-1.04]; P<0.001), independent of ATTR-CA diagnosis and sex. On multivariable Cox proportional hazards analyses adjusting for age, AU, ATTR-CA diagnosis, sex, smoking, hypertension, diabetes, left ventricular ejection fraction, and coronary artery disease, both age (HR, 1.03 [95% CI, 1.02-1.04]; P<0.0001) and AU (HR, 2.68 [95% CI, 2.11-3.41]; P<0.0001) were independently associated with the development of any AF. Freedom from incident AF at 1-year was significantly lower in patients with AU, both in patients with and without ATTR-CA respectively (HR, 2.27 [95% CI, 1.37-3.78]; P<0.0001 versus HR, 2.21 [95% CI, 1.46-3.34]; P<0.0001). CONCLUSIONS: In a consecutive cohort of patients undergoing 99mTc-PyP scans, 20% had AU, which was statistically associated with any AF, independently of ATTR-CA diagnosis and sex. AU was associated with significantly lower freedom from incident AF at 1-year. Overlooking AU on 99mTc-PyP scans could potentially miss an earlier disease manifestation, or an additional risk factor for any/incident AF.

Cardiac risk stratification in cancer patients: A longitudinal patient-patient network analysis.

BACKGROUND: Cardiovascular disease is a leading cause of death in general population and the second leading cause of mortality and morbidity in cancer survivors after recurrent malignancy in the United States. The growing awareness of cancer therapy-related cardiac dysfunction (CTRCD) has led to an emerging field of cardio-oncology; yet, there is limited knowledge on how to predict which patients will experience adverse cardiac outcomes. We aimed to perform unbiased cardiac risk stratification for cancer patients using our large-scale, institutional electronic medical records. METHODS AND FINDINGS: We built a large longitudinal (up to 22 years' follow-up from March 1997 to January 2019) cardio-oncology cohort having 4,632 cancer patients in Cleveland Clinic with 5 diagnosed cardiac outcomes: atrial fibrillation, coronary artery disease, heart failure, myocardial infarction, and stroke. The entire population includes 84% white Americans and 11% black Americans, and 59% females versus 41% males, with median age of 63 (interquartile range [IQR]: 54 to 71) years old. We utilized a topology-based K-means clustering approach for unbiased patient-patient network analyses of data from general demographics, echocardiogram (over 25,000), lab testing, and cardiac factors (cardiac). We performed hazard ratio (HR) and Kaplan-Meier analyses to identify clinically actionable variables. All confounding factors were adjusted by Cox regression models. We performed random-split and time-split training-test validation for our model. We identified 4 clinically relevant subgroups that are significantly correlated with incidence of cardiac outcomes and mortality. Among the 4 subgroups, subgroup I (n = 625) has the highest risk of de novo CTRCD (28%) with an HR of 3.05 (95% confidence interval (CI) 2.51 to 3.72). Patients in subgroup IV (n = 1,250) had the worst survival probability (HR 4.32, 95% CI 3.82 to 4.88). From longitudinal patient-patient network analyses, the patients in subgroup I had a higher percentage of de novo CTRCD and a worse mortality within 5 years after the initiation of cancer therapies compared to long-time exposure (6 to 20 years). Using clinical variable network analyses, we identified that serum levels of NT-proB-type Natriuretic Peptide (NT-proBNP) and Troponin T are significantly correlated with patient's mortality (NT-proBNP > 900 pg/mL versus NT-proBNP = 0 to 125 pg/mL, HR = 2.95, 95% CI 2.28 to 3.82, p < 0.001; Troponin T > 0.05 µg/L versus Troponin T ≤ 0.01 µg/L, HR = 2.08, 95% CI 1.83 to 2.34, p < 0.001). Study limitations include lack of independent cardio-oncology cohorts from different healthcare systems to evaluate the generalizability of the models. Meanwhile, the confounding factors, such as multiple medication usages, may influence the findings. CONCLUSIONS: In this study, we demonstrated that the patient-patient network clustering methodology is clinically intuitive, and it allows more rapid identification of cancer survivors that are at greater risk of cardiac dysfunction. We believed that this study holds great promise for identifying novel cardiac risk subgroups and clinically actionable variables for the development of precision cardio-oncology.

Immune Checkpoint Inhibitors Mediated Lymphocytic and Giant Cell Myocarditis: Uncovering Etiological Mechanisms.

The advent of immune checkpoint inhibitors (ICIs) has revolutionized the field of oncology, but these are associated with immune related adverse events. One such adverse event, is myocarditis, which has limited the continued immunosuppressive treatment options in patients afflicted by the disease. Pre-clinical and clinical data have found that specific ICI targets and precipitate distinct myocardial infiltrates, consistent with lymphocytic or giant cell myocarditis. Specifically, it has been reported that CTLA-4 inhibition preferentially results in giant cell myocarditis with a predominately CD4+ T cell infiltrate and PD-1 inhibition leads to lymphocytic myocarditis, with a predominately CD8+ T cell infiltrate. Our manuscript discusses the latest literature surrounding ICI pathways and targets, while detailing proposed mechanisms behind ICI mediated myocarditis.

Mutant Phenotype p53 Immunohistochemical Expression Is Associated With Poor Prognostic Parameters and Disease-Free Survival in Triple-Negative Metaplastic Breast Carcinoma.

Introduction Metaplastic breast carcinoma (MBC) is a special type of breast cancer that is most commonly triple-negative and has the worst outcome compared to other breast tumors. p53 is a tumor suppressor gene that is frequently mutated in many human cancers. The association of mutant p53 immunohistochemical expression with clinical and prognostic parameters has not been widely studied in triple-negative MBC. Therefore, in this study, we evaluated the expression patterns of p53 in triple-negative MBC and its association with clinical and prognostic parameters. Methods A retrospective observational study was conducted in the Department of Histopathology at Liaquat National Hospital and Medical College, Pakistan, for a duration of 11 years. A total of 101 cases of triple-negative MBCs were included in the study. p53 immunohistochemistry was performed on the representative tissue blocks. Cases with diffuse strong positive p53 expression were labeled mutant phenotype, while cases with weak patchy p53 expression were termed wild-type. Results The mean age of the patients was 48.33±11.47 years, and the mean tumor size was 3.98±2.07 cm. The mean Ki67 index was 48.98±22.97%. The median disease-free survival of the patients was 24 (three to 68) months, with a median follow-up of 37 (13 to 77) months. Most of the cases were tumor (T)-stage II (51.5%). Axillary metastasis was present in 36.6% of cases, with the perinodal extension in 16.8% of cases. Most cases were non-basal subtype (91.1%), and the majority of cases were grade III (85.1%). Recurrence was observed in 17.8% of cases. Among 101 cases, 52.5% cases showed mutant phenotype p53 expression. A significant association of p53 expression was noted with tumor grade, Ki67 index and disease-free survival. Cases with mutant phenotype p53 expression had a higher tumor grade, higher Ki67 index, and poorer disease-free survival than cases with wild-type p53 expression. Conclusion A substantial proportion of triple-negative MBC expressed diffuse strong expression (mutant phenotype) of p53 in our study, signifying a potential role of p53 as a therapeutic target in triple-negative MBC. Moreover, association of p53 with poor prognostic parameters, such as higher tumor grade and Ki67, and poor disease-free survival underscores the prognostic significance of p53 in triple-negative MBC.

Cardiovascular Complications in Major 21st Century Viral Epidemics and Pandemics: an Insight into COVID-19.

There have many major history-defining epidemics and pandemics in the 21st century. It is well known that acute infections can cause cardiovascular (CV) complications, especially in those with underlying cardiac disease. The variation in rates and types of CVD complications in major 21st century epidemics and pandemics varies greatly. The coronavirus disease 2019 (COVID-19) pandemic has caused the turmoil of the century and has COVID-19 has resulted in substantial human and economic loss. The novelty of COVID-19 and emerging CV effects is a new entity. In this review, we discuss the major epidemics and pandemics of the 21st century and associated CVD complications.

Cardiac surveillance for anti-HER2 chemotherapy.

Surveillance of left ventricular function, part of current US Food and Drug Administration recommendations for anti-human epidermal growth factor receptor 2 (anti-HER2) chemotherapy, is based on historical data involving patients who received concomitant anthracycline therapy, a key enhancer of cardiac risk. More recent anti-HER2 treatment data suggest that cardiotoxicity detected by screening is rare and usually benign for patients who do not have cardiovascular risk factors and are not taking an anthracycline. Because of the burden of repetitive echocardiography required for surveillance and the risk of false-positive results, potentially leading to discontinuing lifesaving treatment, we advocate for a more focused cardiac surveillance strategy.

Attenuated heart rate recovery is associated with higher arrhythmia recurrence and mortality following atrial fibrillation ablation.

AIMS: Heart rate recovery (HRR), the decrease in heart rate occurring immediately after exercise, is caused by the increase in vagal activity and sympathetic withdrawal occurring after exercise and is a powerful predictor of cardiovascular events and mortality. The extent to which it impacts outcomes of atrial fibrillation (AF) ablation has not previously been studied. The aim of this study is to investigate the association between attenuated HRR and outcomes following AF ablation. METHODS AND RESULTS: We studied 475 patients who underwent EST within 12 months of AF ablation. Patients were categorized into normal (>12 b.p.m.) and attenuated (≤12 b.p.m.) HRR groups. Our main outcomes of interest included arrhythmia recurrence and all-cause mortality. During a mean follow-up of 33 months, 43% of our study population experienced arrhythmia recurrence, 74% of those with an attenuated HRR, and 30% of those with a normal HRR (P < 0.0001). Death occurred in 9% of patients in the attenuated HRR group compared to 4% in the normal HRR cohort (P = 0.001). On multivariable models adjusting for cardiorespiratory fitness (CRF), medication use, left atrial size, ejection fraction, and renal function, attenuated HRR was predictive of increased arrhythmia recurrence (hazard ratio 2.54, 95% confidence interval 1.86-3.47, P < 0.0001). CONCLUSION: Heart rate recovery provides additional valuable prognostic information beyond CRF. An impaired HRR is associated with significantly higher rates of arrhythmia recurrence and death following AF ablation.

Machine Learning-Based Risk Assessment for Cancer Therapy-Related Cardiac Dysfunction in 4300 Longitudinal Oncology Patients.

Background The growing awareness of cardiovascular toxicity from cancer therapies has led to the emerging field of cardio-oncology, which centers on preventing, detecting, and treating patients with cardiac dysfunction before, during, or after cancer treatment. Early detection and prevention of cancer therapy-related cardiac dysfunction (CTRCD) play important roles in precision cardio-oncology. Methods and Results This retrospective study included 4309 cancer patients between 1997 and 2018 whose laboratory tests and cardiovascular echocardiographic variables were collected from the Cleveland Clinic institutional electronic medical record database (Epic Systems). Among these patients, 1560 (36%) were diagnosed with at least 1 type of CTRCD, and 838 (19%) developed CTRCD after cancer therapy (de novo). We posited that machine learning algorithms can be implemented to predict CTRCDs in cancer patients according to clinically relevant variables. Classification models were trained and evaluated for 6 types of cardiovascular outcomes, including coronary artery disease (area under the receiver operating characteristic curve [AUROC], 0.821; 95% CI, 0.815-0.826), atrial fibrillation (AUROC, 0.787; 95% CI, 0.782-0.792), heart failure (AUROC, 0.882; 95% CI, 0.878-0.887), stroke (AUROC, 0.660; 95% CI, 0.650-0.670), myocardial infarction (AUROC, 0.807; 95% CI, 0.799-0.816), and de novo CTRCD (AUROC, 0.802; 95% CI, 0.797-0.807). Model generalizability was further confirmed using time-split data. Model inspection revealed several clinically relevant variables significantly associated with CTRCDs, including age, hypertension, glucose levels, left ventricular ejection fraction, creatinine, and aspartate aminotransferase levels. Conclusions This study suggests that machine learning approaches offer powerful tools for cardiac risk stratification in oncology patients by utilizing large-scale, longitudinal patient data from healthcare systems.

Impact of timing of atrial fibrillation, CHA2DS2-VASc score and cancer therapeutics on mortality in oncology patients.

OBJECTIVES: To investigate timing and age distribution of atrial fibrillation (AF) in selected oncology patients, and the impact of AF timing, CHA2DS2-VASc score and cancer therapeutics on mortality. METHODS: This is a retrospective cohort study of oncology patients referred to the cardio-oncology service from 2011 to 2018 for echocardiographic cardiosurveillance and/or pre-existing cardiovascular risk factor/disease management. Rates of first AF diagnosis was assessed using a parametric multiphase hazard model (predictive modelling) and non-parametrically by Kaplan-Meier with transformations tested using a bootstrap methodology. RESULTS: Among 6754 patients identified, 174 patients had their first AF diagnosis before cancer while 609 patients had their first diagnosis of AF after cancer. Most first AF diagnosis occurred at/early after cancer diagnosis. Increasing AF prevalence at time of cancer diagnosis was seen across older age groups ranges. Diagnosis of cancer at an older age and exposure to cardiotoxic treatment (anthracyclines, HER2-neu inhibitors, tyrosine kinase inhibitors including ibrutinib and radiation) were associated with an increased risk of AF.Modelling of the hazard function of AF identified a high left-skewed peak within 3 years after cancer diagnosis ('early phase'), followed by a gradual late slight rise 3 years after cancer diagnosis ('late phase'). AF diagnosis was only associated with death in the early phase (p<0.001), while CHA2DS2-VASc score was only associated with death in the late phase (p<0.001). CONCLUSIONS: This study reports a nuanced/complex relationship between AF and cancer. First diagnosis of AF in patients with cancer was more common at/early after cancer diagnosis, especially in older patients and those exposed to cardiotoxic treatment. Pre-existing AF or a diagnosis of AF within 3 years after cancer diagnosis carried a negative prognosis. CHA2DS2-VASc score did not relate to mortality in those that developed AF within 3 years of cancer diagnosis.