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Therefore, it is important to keep close monitoring for such abnormalities otherwise could lead into life threatening arrythmias.

Although initially thought to be a pulmonary disease but along with time extra-pulmonary manifestations of Covid-19 has demonstrated significant consequences. Electrolyte abnormalities and cardiac dysfunction are examples of such extra-pulmonary pathologies. Therefore, it is important to keep close monitoring for such abnormalities otherwise could lead into life threatening arrythmias.

Since COVID 19 was described for the first time in December 2019, we have not stopped discovering its different clinical manifestations. Despite the respiratory complication which is the most common symptomatology, multi-organ dysfunction and multiple cardiovascular complications were described such as acute myocarditis, heart failure and even arrhythmias.

Two patients aged 26 and 56 year-old, developed acute myocarditis related to Covid-19 infection but with different symptomatology.

Presented to the emergency room with digestive symptomatology, Covid-19 infection was confirmed by a positive chest CT scan and positive COVID-19 serology testing. Clinical, biological, radiological findings allowed making the diagnosis of a Covid-19 infection with a bacterial superinfection complicated by a fulminant myocarditis.

Presented to the emergency department with a chest pain, dyspnoea, paroxistic cough, myalgia and fever. A Covid-19 infection was confirmed. The electrocardiogram showed a diffuse ST elevation, echocardiography showed normal systolic function and the high-sensitivity cardiac troponin I level was high. Invasive coronary angiography was performed, revealing angiographically normal coronary arteries.

Our 2 cases were treated differently, case 1 received antibiotherapy because of the bacterial superinfection and inotropic support for the septic and cardiogenic choc. Sodium cholate mouse Contrarily to case 2 who received inotropic support, immunoglobulin and corticosteroid. With a total recovery for both patients.

This article can help in considering cardiac affection due to SARS-CoV2, even with poor respiratory symptomatology, and to insist on the importance of the cardiac evaluation for young patients with a sever Covid-19 infection.

This article can help in considering cardiac affection due to SARS-CoV2, even with poor respiratory symptomatology, and to insist on the importance of the cardiac evaluation for young patients with a sever Covid-19 infection.

This review summarizes the investigational antifungals in clinical development with the potential to address rising drug resistance patterns. The relevant pharmacodynamics, spectrum of activity, preclinical studies, and latest clinical trial data are described.

Agricultural and medicinal antifungal use has been selected for inherently drug-resistant fungi and acquired resistance mechanisms. The rates of fungal infections and immunocompromised populations continue to grow as few new antifungals have hit the market. Several agents with the potential to address the emergence of multidrug-resistant (MDR) molds and yeasts are in clinical development.

Evolved formulations of echinocandins, polyenes, and triazoles offer less toxicity, convenient dosing, and greater potency, potentially expanding these classes' indications. Ibrexafungerp, olorofim, oteseconazole, and fosmanogepix possess novel mechanisms of actions with potent activity against MDR fungi. Successful clinical development is neither easy nor guaranteed; thus, perpetual efforts to discover new antifungals are needed.

Evolved formulations of echinocandins, polyenes, and triazoles offer less toxicity, convenient dosing, and greater potency, potentially expanding these classes' indications. Ibrexafungerp, olorofim, oteseconazole, and fosmanogepix possess novel mechanisms of actions with potent activity against MDR fungi. Successful clinical development is neither easy nor guaranteed; thus, perpetual efforts to discover new antifungals are needed.Analyses of transient dynamics are critical to understanding infectious disease transmission and persistence. Identifying and predicting transients across scales, from within-host to community-level patterns, plays an important role in combating ongoing epidemics and mitigating the risk of future outbreaks. Moreover, greater emphases on non-asymptotic processes will enable timely evaluations of wildlife and human diseases and lead to improved surveillance efforts, preventive responses, and intervention strategies. Here, we explore the contributions of transient analyses in recent models spanning the fields of epidemiology, movement ecology, and parasitology. In addition to their roles in predicting epidemic patterns and endemic outbreaks, we explore transients in the contexts of pathogen transmission, resistance, and avoidance at various scales of the ecological hierarchy. Examples illustrate how (i) transient movement dynamics at the individual host level can modify opportunities for transmission events over time; (ii) within-host energetic processes often lead to transient dynamics in immunity, pathogen load, and transmission potential; (iii) transient connectivity between discrete populations in response to environmental factors and outbreak dynamics can affect disease spread across spatial networks; and (iv) increasing species richness in a community can provide transient protection to individuals against infection. Ultimately, we suggest that transient analyses offer deeper insights and raise new, interdisciplinary questions for disease research, consequently broadening the applications of dynamical models for outbreak preparedness and management.

The online version contains supplementary material available at 10.1007/s12080-021-00514-w.

The online version contains supplementary material available at 10.1007/s12080-021-00514-w.The novel Coronavirus (COVID-19) disease has disrupted human life worldwide and put the entire planet on standby. A resurgence of coronavirus infections has been confirmed in most countries, resulting in a second wave of the deadly virus. The infectious virus has symptoms ranging from an itchy throat to Pneumonia, resulting in the loss of thousands of human lives while globally infecting millions. Detecting the presence of COVID-19 as early as possible is critical, as it helps prevent further spread of disease and helps isolate and provide treatment to the infected patients. Recent radiological imaging findings confirm that lung X-ray and CT scans provide an excellent indication of the progression of COVID-19 infection in acute symptomatic carriers. This investigation aims to rapidly detect COVID-19 progression and non-COVID Pneumonia from lung X-ray images of heavily symptomatic patients. A novel and highly efficient COVID-DeepNet model is presented for the accurate and rapid prediction of COVID-19 infection using state-of-the-art Artificial Intelligence techniques.