Background: Cardiovascular events have been reported in the setting of coronavirus disease‐19 (COVID‐19). It has been hypothesized that systemic inflammation may aggravate arrhythmias or trigger new‐onset conduction abnormalities. However, the specific type and distribution of electrocardiographic disturbances in COVID‐19 as well as their influence on mortality remain to be fully characterized.Methods: Electrocardiograms (ECGs) were obtained from 186 COVID‐19‐positive patients at a large tertiary care hospital in Northern Nevada. The following arrhythmias were identified by cardiologists: sinus bradycardia, sinus tachycardia, atrial fibrillation (A‐Fib), atrial flutter, multifocal atrial tachycardia (MAT), premature atrial contraction (PAC), premature ventricular contraction (PVC), atrioventricular block (AVB), and right bundle branch block (RBBB). The mean PR interval, QRS duration, and corrected QT interval were documented. Fisher's exact test was used to compare the ECG features of patients who died during the hospitalization with those who survived. The influence of ECG features on mortality was assessed with multivariable logistic regression analysis.Results: A‐Fib, atrial flutter, and ST‐segment depression were predictive of mortality. In addition, the mean ventricular rate was higher among patients who died as compared to those who survived. The use of therapeutic anticoagulation was associated with reduced odds of death; however, this association did not reach statistical significance.Conclusion: The underlying pathogenesis of COVID‐19‐associated arrhythmias remains to be established, but we postulate that systemic inflammation and/or hypoxia may induce potentially lethal conduction abnormalities in affected individuals. Longitudinal studies are warranted to evaluate the risk factors, pathogenesis, and management of COVID‐19‐associated cardiac arrhythmias.
Sarcoidosis is a systemic inflammatory disease characterized by the development of noncaseating granulomas in multiple organ systems. Many hematologic malignancies and solid tumors, including melanoma, have been associated with sarcoidosis. We describe the clinical and pathologic findings of a 54-year-old man with melanoma-associated sarcoidosis. In addition, we not only review the literature describing characteristics of other melanoma patients with sarcoidosis, but also the features of melanoma patients with antineoplastic therapy-associated sarcoidosis. Sarcoidosis has been described in 80 melanoma patients; sufficient information for analysis was provided in 39 of these individuals. In 43.6% of individuals (17 out of 39), sarcoidosis was directly associated with melanoma; in 56.4% of oncologic patients (22 out of 39), sarcoidosis was induced by antineoplastic therapy that had been administered for the treatment of their metastatic melanoma. The discovery of melanoma preceded the development of sarcoidosis in 12 of the 17 (70.5%) individuals who did not receive systemic treatment. Pulmonary and/or cutaneous manifestations of sarcoidosis were common among both groups of patients. Most patients did not require treatment for sarcoidosis. Melanoma patients—either following antineoplastic therapy or without systemic treatment—may be at an increased risk to develop sarcoidosis. In antineoplastic therapy naive melanoma patients, a common etiologic factor—such as exposure to ultraviolet light—may play a role in their developing melanoma and sarcoidosis.
Dementia is a significant global health issue that is exacerbated by an aging population. Imaging plays an established role in the evaluation of patients with neurocognitive disorders such as dementia. In current clinical practice, magnetic resonance imaging (MRI) and positron emission tomography (PET) are primary imaging modalities used separately but in concert to help diagnose and classify dementia. The clinical applications of PET/MRI hybrid imaging in dementia are an active area of research, particularly given the continued emergence of functional MRI (fMRI) and amyloid PET tracers. This narrative review provides a comprehensive overview of the rationale and current evidence for PET/MRI hybrid dementia imaging from 2018 to 2023. Hybrid imaging offers advantages in the accuracy of characterizing neurodegenerative disorders, and future research will need to address the cost of integrated PET/MRI systems compared to stand-alone scanners, the development of new biomarkers, and image correction techniques.