Smartphone-Based Screening for Cardiovascular Diseases: A Trend?

Abstract Cardiovascular diseases are the leading cause of death in the world. People living in vulnerable and poor places such as slums, rural areas and remote locations have difficulty in accessing medical care and diagnostic tests. In addition, given the COVID-19 pandemic, we are witnessing an increase in the use of telemedicine and non-invasive tools for monitoring vital signs. These questions motivate us to write this point of view and to describe some of the main innovations used for non-invasive screening of heart diseases. Smartphones are widely used by the population and are perfect tools for screening cardiovascular diseases. They are equipped with camera, flashlight, microphone, processor, and internet connection, which allow optical, electrical, and acoustic analysis of cardiovascular phenomena. Thus, when using signal processing and artificial intelligence approaches, smartphones may have predictive power for cardiovascular diseases. Here we present different smartphone approaches to analyze signals obtained from various methods including photoplethysmography, phonocardiograph, and electrocardiography to estimate heart rate, blood pressure, oxygen saturation (SpO2), heart murmurs and electrical conduction. Our objective is to present innovations in non-invasive diagnostics using the smartphone and to reflect on these trending approaches. These could help to improve health access and the screening of cardiovascular diseases for millions of people, particularly those living in needy areas.

[Acute kidney injury - Update 2021]. / Akute Nierenschädigung ­ Update 2021.

One in five hospitalized patients suffers acute kidney injury (AKI). Depending on its severity, AKI is associated with an up to 15-fold increased risk of mortality and constitutes a major risk factor for subsequent cardiovascular events and for the development of chronic kidney disease. This concise review summarizes recently published studies, focusing on 1.) automated AKI detection using electronic health records-based AKI alert systems, 2.) renal replacement therapy and its optimal timing and anticoagulation regimen, and 3.) coronavirus disease-2019 (COVID-19) associated AKI.