Characterization of military police officers of Alagoas affected by COVID-19.

Introduction: COVID-19 has greatly affected society by limiting the functioning of sectors of the economy and public services. Considering the essential character of many of these services, especially public security, it is necessary to understand how the disease has affected different groups within the population so that public policies for facing this problem can be implemented. Objectives: To identify and describe the profile of military police officers affected by COVID-19. Methods: This is a descriptive observational study with a quantitative approach, based on secondary data. The electronic medical records of 737 military police officers affected by COVID-19 were accessed; sociodemographic, biological, and professional data were collected, as well as data on disease progression. Data were analyzed using Bioestat® software, v5.3. Results: The peak of the COVID-19 contagion curve happened first among military police officers of the state of Alagoas than in the general population, and a positive effect of social distancing was observed in the containment of disease spread. Moreover, specialized operations units had a higher contagion rate in view of the higher level of exposure linked to their work activities. Conclusions: This study described the profile of military police officers affected by COVID-19, which can substantiate the adoption of public policies and new strategies to fight this disease among officers in Alagoas, thus ensuring the continuity of the service provided to society.

Use of ultrasound imaging software to differentiate venous and lymphatic edema in lower limbs.

BACKGROUND: Lower limb edema has both systemic and local causes. Using software to differentiate the origin of edema in ultrasound images is an innovation. OBJECTIVE: To determine the parameters for using software to differentiate edema of venous and/or lymphatic origin in ultrasound images of the lower limbs. METHOD: This is a cross-sectional, quantitative, analytical study with non-probabilistic sampling by convenience. Data were collected by patient interview, physical examination, ultrasound examination, and analysis of software for tissue characterization in ultrasound image by means of quantification of echogenicity and Gray Scale Median (GSM). RESULTS: The sample comprised 42 lower limbs with venous edema, 35 with lymphatic edema, 14 with mixed edema, and 11 control limbs. The distributions of pixels in echogenicity intervals by group was as follows. In the venous edema group, 88.31% were distributed from hypoechogenic interval IV to echogenic interval III; in the lymphatic edema group 71.73% were from hypoechogenic interval II to echogenic interval I; in the mixed edema group 76.17% were from hypoechogenic interval III to echogenic interval II; and in the control group 84.87% were distributed from echogenic interval II to hyperechogenic interval I. Mean and standard deviation of GSM values showed statistical differences between groups. CONCLUSION: The CATUS software enabled differentiation of the type of lower limb edema, facilitating diagnosis of edema type and, consequently, choice of the best therapeutic option.