Association between electrocardiographic features and mortality in COVID-19 patients.

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.

Sociodemographic Disparities in Sodium-Glucose Co-Transporter-2 Inhibitors and Glucagon-Like Peptide-1 Receptor Agonists Prescription Patterns Among Patients With Poorly Controlled Diabetes.

Introduction Sodium-glucose co-transporter-2 inhibitors (SGLT2Is) and glucagon-like peptide-1 receptor agonists (GLP-1RAs) are novel antihyperglycemic agents that reduce cardiovascular mortality through insulin-independent mechanisms. In this cross-sectional study, we investigated prescription patterns of these drugs and identified inequities in antihyperglycemic utilization. Methods Unique encounters for diabetes care between January 1, 2020, and December 31, 2020, were identified through a systematic query of our healthcare system's database. All patients ≥18 years old with a hemoglobin A1C level of ≥8% were included in the sample. Demographic data, SGLT2I or GLP-1RA prescription status, diabetes-related complications, and mortality were abstracted. Results A total of 2,746 patients were included in the sample. Among these individuals, 670 (24.4%) were prescribed either an SGLT2I or a GLP-1RA (users) and 2,076 (75.6%) were not prescribed either agent (non-users). There were significantly more males than females in the cohort, but there was no significant difference in the sex distribution between users and non-users. Compared to non-users, users were younger (mean age of 65.1 ± 9.4 years versus 66.4 ± 9.9 years, p-value = 0.005), more likely to be non-Hispanic (86.3% versus 13.7%), more likely to live in a middle-income zip code, and have private insurance. The mortality rate was lower among users when compared to non-users, but the difference did not reach statistical significance (2.7% versus 5.5%, p-value = 0.62). SGLT2I use was associated with a 60% lower risk of mortality. Conclusion Ethnicity, median household income, and insurance type influence the likelihood of being prescribed an SGLT2I or a GLP-1RA. Individuals prescribed either agent appear to have better mortality outcomes than those prescribed other medications. Further investigation may reveal underlying causes and potential solutions for disparities in prescription patterns.

SVEAT score outperforms HEART score in patients admitted to a chest pain observation unit.

BACKGROUND: Timely and accurate identification of subgroup at risk for major adverse cardiovascular events among patients presenting with acute chest pain remains a challenge. Currently available risk stratification scores are suboptimal. Recently, a new scoring system called the Symptoms, history of Vascular disease, Electrocardiography, Age, and Troponin (SVEAT) score has been shown to outperform the History, Electrocardiography, Age, Risk factors and Troponin (HEART) score, one of the most used risk scores in the United States. AIM: To assess the potential usefulness of the SVEAT score as a risk stratification tool by comparing its performance to HEART score in chest pain patients with low suspicion for acute coronary syndrome and admitted for overnight observation. METHODS: We retrospectively reviewed medical records of 330 consecutive patients admitted to our clinical decision unit for acute chest pain between January 1st to April 17th, 2019. To avoid potential biases, investigators assigned to calculate the SVEAT, and HEART scores were blinded to the results of 30-d combined endpoint of death, acute myocardial infarction or confirmed coronary artery disease requiring revascularization or medical therapy [30-d major adverse cardiovascular event (MACE)]. An area under receiving-operator characteristic curve (AUC) for each score was then calculated. C-statistic and logistic model were used to compare predictive performance of the two scores. RESULTS: A 30-d MACE was observed in 11 patients (3.33% of the subjects). The AUC of SVEAT score (0.8876, 95%CI: 0.82-0.96) was significantly higher than the AUC of HEART score (0.7962, 95%CI: 0.71-0.88), P = 0.03. Using logistic model, SVEAT score with cut-off of 4 or less significantly predicts 30-d MACE (odd ratio 1.52, 95%CI: 1.19-1.95, P = 0.001) but not the HEART score (odd ratio 1.29, 95%CI: 0.78-2.14, P = 0.32). CONCLUSION: The SVEAT score is superior to the HEART score as a risk stratification tool for acute chest pain in low to intermediate risk patients.

Atorvastatin-Induced Refractory Thrombocytopenia.

Drug-induced thrombocytopenia is rarely associated with statin medications. We describe the case of a 69-year-old woman who developed refractory thrombocytopenia following atorvastatin use. To our knowledge, this is the fourth reported case of atorvastatin-induced thrombocytopenia and the first reported case of atorvastatin-induced refractory thrombocytopenia. Additionally, we summarize the cases of statin-induced thrombocytopenia reported in the medical literature.

Ponatinib-associated panniculitis: Case report and review of the literature.

Ponatinib is a tyrosine kinase inhibitor (TKI) approved for the treatment of Philadelphia chromosome-positive chronic myelogenous leukemia and acute lymphoblastic leukemia. Common adverse effects of ponatinib include neutropenia, arterial thrombosis, and hypertension. We describe a 49-year-old woman who developed panniculitis after brief treatment with ponatinib. In addition, we summarize other studies describing TKI-associated panniculitis.

Sociodemographic Predictors of Outcomes in COVID-19: Examining the Impact of Ethnic Disparities in Northern Nevada.

Background  On March 11, 2020, the World Health Organization declared coronavirus disease-19 (COVID-19) a pandemic. Nearly five million individuals have since been diagnosed with this increasingly common and potentially lethal viral infection. Emerging evidence suggests a disproportionate burden of illness and death among minority communities. We aimed to evaluate the effect of ethnicity on outcomes among patients diagnosed with COVID-19 in Northern Nevada. Methods  The electronic health records of 172 patients diagnosed with COVID-19 were obtained from a 946-bed tertiary referral center serving Northern Nevada. Demographic and clinical characteristics were compared by ethnic group (Hispanic versus non-Hispanic). Logistic regression was used to determine predictors of mortality.  Results  Among 172 patients who were diagnosed with COVID-19 between March 12 and May 8, 2020, 87 (50.6%) identified as Hispanic and 81 (47.1%) as non-Hispanic. Hispanic individuals were significantly more likely to be uninsured and to live in low-income communities as compared to their non-Hispanic counterparts (27.6% versus 8.2% and 52.9% versus 30.6%, respectively). Hispanic patients were also less likely than non-Hispanics to have a primary care provider (42.5% versus 61.2%). However, mortality was significantly higher among the non-Hispanic population (15.3% versus 5.8%).  Conclusion  The COVID-19 pandemic has disproportionately affected Hispanic individuals in Northern Nevada, who account for only 25.7% of the population but over half of the confirmed cases. The underlying causes of ethnic disparities in COVID-19 incidence remain to be established, but further investigation may lead to more effective community- and systems-based interventions.

Cardiac adverse events of immune checkpoint inhibitors in oncology patients: A systematic review and meta-analysis.

BACKGROUND: Immune checkpoint inhibitors (ICIs) are novel therapeutic agents used for various types of cancer. ICIs have revolutionized cancer treatment and improved clinical outcomes among cancer patients. However, immune-related adverse effects of ICI therapy are common. Cardiovascular immune-related adverse events (irAEs) are rare but potentially life-threatening complications. AIM: To estimate the incidence of cardiovascular irAEs among patients undergoing ICI therapy for various malignancies. METHODS: We conducted this systematic review and meta-analysis by searching PubMed, Cochrane CENTRAL, Web of Science, and SCOPUS databases for relevant interventional trials reporting cardiovascular irAEs. We performed a single-arm meta-analysis using OpenMeta [Analyst] software of the following outcomes: Myocarditis, pericardial effusion, heart failure, cardiomyopathy, atrial fibrillation, myocardial infarction, and cardiac arrest. We assessed the heterogeneity using the I2 test and managed to solve it with Cochrane's leave-one-out method. The risk of bias was performed with the Cochrane's risk of bias tool. RESULTS: A total of 26 studies were included. The incidence of irAEs follows: Myocarditis: 0.5% [95% confidence interval (CI): 0.1%-0.9%]; Pericardial effusion: 0.5% (95%CI: 0.1%-1.0%); Heart failure: 0.3% (95%CI: 0.0%-0.5%); Cardiomyopathy: 0.3% (95%CI: -0.1%-0.6%); atrial fibrillation: 4.6% (95%CI: 1.0%-14.1%); Myocardial infarction: 0.4% (95%CI: 0.0%-0.7%); and Cardiac arrest: 0.4% (95%CI: 0.1%-0.8%). CONCLUSION: The most common cardiovascular irAEs were atrial fibrillation, myocarditis, and pericardial effusion. Although rare, data from post market surveillance will provide estimates of the long-term prevalence and prognosis in patients with ICI-associated cardiovascular complications.