Acute coronary syndrome in very elderly patients-a real-world experience.

Very elderly population constitutes an increasingly larger proportion of patients admitted for acute coronary syndromes (ACS). Notably, age represents both a proxy of frailty and an exclusion criterion in clinical randomized trials, which probably contributes to lack of data and undertreatment of real-world elderly patients. The aim of the study is to describe patterns of treatment and outcome of very elderly patients with ACS. All consecutive patients aged ≥ 80 years old (yo) admitted between January 2017 and December 2019 with ACS were included. The primary endpoint was in-hospital occurrence of major adverse cardiovascular events (MACE), defined as the composite of cardiovascular death, new onset cardiogenic shock, definite/probable stent thrombosis, and ischemic stroke. The secondary endpoints were in-hospital incidence of Thrombolysis in Myocardial Infarction (TIMI) major/minor bleedings, contrast-induced nephropathy (CIN), six-month all-cause mortality, and unplanned readmission. One hundred ninety-three patients (mean age 84.1 ± 3.5 yo, 46% females) were included, of whom 86 (44.6%), 79 (40.9%), and 28 (14.5%) presented with ST elevation myocardial infarction (STEMI), non-ST elevation myocardial infarction (NSTEMI), and unstable angina (UA), respectively. The vast majority of patients received an invasive strategy, with 92.7% undergoing coronary angiography and 84.4% to percutaneous coronary intervention (PCI). Aspirin was administered to 180 (93.3%) patients, clopidogrel to 89 (46.1%) patients, and ticagrelor to 85 (44%) patients. In-hospital MACE occurred in 29 patients (15.0%), whereas 3 (1.6%) and 12 patients (7.2%) experienced in-hospital TIMI major and TIMI minor bleeding, respectively. Of the overall population, 177 (91.7%) were discharged alive. After discharge, 11 patients (6.2%) died of all-cause death, whereas 42 patients (23.7%) required a new hospitalization within six months. Invasive strategy of ACS in elderly patients seems safe and effective. Six-month new hospitalization appears inevitably related to age.

Renal Involvement in COVID-19: A Review of the Literature.

Kidney injury may be a severe complication of acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and contributes to worsen the prognosis. Various pathophysiological mechanisms can contribute to organ damage and impair renal function, proving the complexity of the virus activity and the resulting immunity response. We summarized the evidence of the literature on the prevalence of kidney involvement, on the pathogenic pathways and on its management.

Anticoagulant treatment in COVID-19: a narrative review.

The actual Coronavirus Disease (COVID 19) pandemic is due to Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a member of the coronavirus family. Besides the respiratory involvement, COVID 19 patients frequently develop a pro-coagulative state caused by virus-induced endothelial dysfunction, cytokine storm and complement cascade hyperactivation. It is common to observe diffuse microvascular thrombi in multiple organs, mostly in pulmonary microvessels. Thrombotic risk seems to be directly related to disease severity and worsens patients' prognosis. Therefore, the correct understanding of the mechanisms underlying COVID-19 induced prothrombotic state can lead to a thorough assessment of the possible management strategies. Hence, we review the pathogenesis and therapy of COVID 19-related thrombosis disease, focusing on the available evidence on the possible treatment strategies and proposing an algorithm for the anticoagulation strategy based on disease severity.

Effect of Triple Combination Therapy With Lopinavir-Ritonavir, Azithromycin, and Hydroxychloroquine on QT Interval and Arrhythmic Risk in Hospitalized COVID-19 Patients.

INTRODUCTION: No data are provided about the effect of triple combination therapy with Lopinavir/Ritonavir (LPN/RTN), hydroxychloroquine (HQ) and azithromycin (AZT) on corrected QT (QTc) interval and arrhythmic risk, in COVID-19 patients. This study aims to describe the incidence of extreme QTc interval prolongation among COVID-19 patients on this experimental treatment and to identify the clinical features associated with extreme QTc prolongation. MATERIALS AND METHODS: Data of 87 COVID-19 patients, treated with triple combination including LPN/RTN, HQ and AZT, were analyzed. QT interval was obtained by the tangent method and corrected for heart rate using Bazett's formula. Extreme QTc interval prolongation was considered an absolute QTc interval ≥ 500 ms or an increase in QTc intervals of 60 ms or greater (ΔQTc ≥ 60 ms) compared with baseline. RESULTS: Hypertension (66.7%) and diabetes (25.3%) were the most prevalent cardiovascular comorbidities. Twenty patients (23%) showed extreme QTc interval prolongation; no clinical, electrocardiographic or pharmacological characteristics have been associated to extreme QTc prolongation, except the history of ischemic stroke (P= 0,007). One torsade de pointes (TdP) in patient with QTc extreme prolongation (QTc: 560 ms) after 5 days of therapy was recorded. CONCLUSIONS: We observed a high incidence of extreme QTc interval prolongation among COVID-19 patients on triple combination therapy. Since the incidence of malignant arrhythmias seems to be not negligible, a careful electrocardiographic monitoring would be advisable.

Cardiovascular System in COVID-19: Simply a Viewer or a Leading Actor?

As of January 2020, a new pandemic has spread from Wuhan and caused thousands of deaths worldwide. Several studies have observed a relationship between coronavirus disease (COVID-19) infection and the cardiovascular system with the appearance of myocardial damage, myocarditis, pericarditis, heart failure and various arrhythmic manifestations, as well as an increase in thromboembolic risk. Cardiovascular manifestations have been highlighted especially in older and more fragile patients and in those with multiple cardiovascular risk factors such as cancer, diabetes, obesity and hypertension. In this review, we will examine the cardiac involvement associated with SARS-CoV-2 infection, focusing on the pathophysiological mechanism underlying manifestations and their clinical implication, taking into account the main scientific papers published to date.

Clinical characteristics and prognosis of hospitalized COVID-19 patients with incident sustained tachyarrhythmias: A multicenter observational study.

INTRODUCTION: Little is still known about the prognostic impact of incident arrhythmias in hospitalized patients with COVID-19. The aim of this study was to evaluate the incidence and predictors of sustained tachyarrhythmias in hospitalized patients with COVID-19, and their potential association with disease severity and in-hospital mortality. MATERIALS AND METHODS: This was a retrospective multicenter observation study including consecutive patients with laboratory confirmed COVID-19 admitted to emergency department of ten Italian Hospitals from 15 February to 15 March 2020. The prevalence and the type of incident sustained arrhythmias have been collected. The correlation between the most prevalent arrhythmias and both baseline characteristics and the development of ARDS and in-hospital mortality has been evaluated. RESULTS: 414 hospitalized patients with COVID-19 (66.9 ± 15.0 years, 61.1% male) were included in the present study. During a median follow-up of 28 days (IQR: 12-45), the most frequent incident sustained arrhythmia was AF (N: 71; 17.1%), of which 50 (12.1%) were new-onset and 21 (5.1%) were recurrent, followed by VT (N: 14, 3.4%) and supraventricular arrhythmias (N: 5, 1.2%). Incident AF, both new-onset and recurrent, did not affect the risk of severe adverse events including ARDS and death during hospitalization; in contrast, incident VT significantly increased the risk of in-hospital mortality (RR: 2.55; P: .003). CONCLUSIONS: AF is the more frequent incident tachyarrhythmia; however, it not seems associated to ARDS development and death. On the other hand, incident VT is a not frequent but independent predictor of in-hospital mortality among hospitalized COVID-19 patients.