ABSTRACT
Introduction: The positive diagnosis of COVID-19 in paucisymptomatic patients is a priority to minimize the spread of the disease. The absence of respiratory manifestations makes diagnosis difficult and facilitates the spread. Given this situation, it is necessary to adopt technical solutions that allow diagnosis in this type of patient. Objective: Describe rheumatological and dermatological image processing software in the diagnosis of paucisymptomatic patients with COVID-19.Methods: A software based on the algorithm for the diagnostic approach of COVID-19 in paucisymptomatic patients was designed and developed. The procedure consisted of three stages;the first one was related to image processing and all its related elements;the second stage was oriented towards the identification of questions as a medical anamnesis. The third stage focused on the identification and analysis of laboratory test results and the definition of final recommendations based on the final result.Results: A software was designed based on an algorithm that includes three stages and is based on coincidence percentages, guiding the user in the behavior to follow depending on the coincidence percentage. It begins with the capture of an image and is followed by clinical, epidemiological and laboratory aspects of COVID-19. Conclusions: The algorithm for the diagnostic approach to COVID-19 is easy to use, low cost of use, and easy to implement, making it a technological tool at the service of human health to stop the spread of COVID-19.
ABSTRACT
Introduction: The management of medical images has been gaining followers based on the advantages it offers for the diagnosis of diseases, which, like COVID-19, present with clinical manifestations that can be captured in the form of images.Objective: Take advantage of the quasi-periodicity of the principal components (PCs) in the decomposition into PCs of medical images, which represent dermatological manifestations in paucisymptomatic patients of COVID-19.Methodology: Here, a set of photos was taken of one of the most frequent patterns in COVID-19, the maculopapular pattern, characterized by an erythmatopapular rash, and compression of one of the medical images was performed. Said compression was carried out in different ways: (1) using two PCs, (2) using both a periodic PC and a non-periodic PC, (3) using two periodic PCs, (4) using a single PC, and (5) using a single periodic PC. Result: The results of this research proved that it is possible to work with acceptable reconstructions of compressed images in the field of dermatology, without losing the quality and characteristics that allow to reach a correct diagnosis. In addition, this achievement permits to correctly classify many diseases without fear of being wrong.Conclusion: With the method presented, the use of a robust medical image compression technique that could be very useful in the field of health is proposed. The images allow the diagnosis of diseases such as COVID-19 in paucisymptomatic patients, understanding them allows minimizing their weight without losing quality, which facilitates their use and storage.
ABSTRACT
Introduction: the current world medical panorama is focused on the control of COVID-19. The disease occurs more frequently in patients with chronic diseases and can be associated with other viral diseases;in this situation, the risk of serious complications in patient's increases. Objective: to present the clinical manifestations present in a patient with gout in whom dengue and COVID-19 coexist. Clinical case: A 50-year-old male patient is presented with a diagnosis of gouty arthropathy of 5 years of evolution that begins with an atypical inflammatory picture for this disease, accompanied by other clinical manifestations such as marked decay, hemorrhagic skin lesions, hematuria and progressive dyspnea. Dengue and COVID_19 diagnosis is made through serological studies. Conclusion: it is important to know the joint pattern in the course of rheumatic diseases, this, together with the prevailing epidemiological characteristics, facilitates the diagnosis of association of different diseases as occurred in the case presented.
ABSTRACT
Introduction: patients with COVID-19 present a varied symptomatic process that includes respiratory and extra-respiratory manifestations, within this last group, the general, dermatological and rheumatic manifestations stand out;the incidence percentage with which they occur is not yet clear. Objective: to identify the incidence of rheumatic and dermatological manifestations in patients with COVID-19. Methodo: A basic, non-experimental research was carried out, with an exploratory, descriptive and explanatory scope. Universe made up of 387 patients diagnosed with COVID-19 in the City of Riobamba. Guided observation and documentary review were used as investigative techniques to identify the presence of dermatological and rheumatic manifestations. Results: Average age of 56.23 years, predominance of male patients (55.04 %) and without associated comorbidities (36.44 %). Dermatological manifestations occurred in 33.33% of cases, with maculopapules the most frequent presentation (53.49 %). Rheumatic manifestations were present in 46.77 % of the cases, with arthralgias (51.93 %) and myalgias (50.28 %) being the most frequent. Conclusions: The dermatological and rheumatic manifestations appear relatively frequently in patients with a confirmed diagnosis of COVID-19 as part of the clinical picture of the disease. Dermatological manifestations occur more frequently in patients under 40 years of age, female and without the presence of comorbidities. Rheumatic manifestations are more frequent to be found in patients over 40 years of age, female and with the presence of associated comorbidities.