Notes

Techno-economic assessment and also life-cycle review involving poly(3-hydroxybutyrate) generation in just a biorefinery notion utilizing sunflower-based biodiesel industry by-products.
The aim of this study was to investigate factors associated with sex practice under the effect of drugs (chemsex) among men who have sex with men (MSM) during the period of social isolation in the context of the COVID-19 pandemic. A multicenter online survey was applied to Brazil and Portugal in April 2020 when the two countries were under restrictive health measures due to the pandemic. Participants were recruited with an adaptation of the respondent driven sampling (RDS) method in the online environment. Data were collected using social networks and dating apps for MSM. We used bivariate and multivariate logistic regression to produce crude (OR) and adjusted odds ratios (aOR). In a universe of 2,361 subjects, 920 (38.9%) reported engaging in chemsex practice, which involved casual partners in 95% of the cases. Higher OR of engaging in chemsex were associated with Brazil (aOR = 15.4; 95%CI 10.7-22.1), not being in social isolation (aOR = 4.9; 95%CI 2.2-10.9), engaging in casual sex during social distancing (aOR = 52.4; 95%CI 33.8-81.4), group sex (aOR = 2.9; 95%CI 2.0-4.4), not presenting any symptom of COVID-19 (aOR = 1.3; 95%CI 1.1-1.8), not living with the sex partner (aOR = 1.8; 95%CI 1.2-2.6), and using pre-exposure prophylaxis (aOR = 2.6; 95%CI 1.8-3.7). The occurrence of chemsex was high, especially in Brazil, where the proposed social distancing did not gain adherence by MSM.This study examines the primary health care (PHC) organization in response to the COVID-19 epidemic. This is a descriptive study based on the document analysis of the countries' responses to the coronavirus pandemic with emphasis on PHC. In various countries, there have been different organizations and impacts of strategies since they have conducted actions according to the local characteristics of disease transmission, demography, public health services organization, and health system's capacity and financing, especially in the PHC area. A significant change during the pandemic has been the increase in telephone and video consultations incorporating health information technology. An efficient PHC, guided by essential actions, achieves more suitable results. Also, each country's cumulative capacity or experience makes the difference facing the emerging demands on different health systems.This study aimed to measure the occurrence of multimorbidity and to estimate the number of individuals in the Brazilian population 50 years or older at risk for severe COVID-19. This was a cross-sectional nationwide study based on data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil), conducted in 2015-2016, with 9,412 individuals 50 years or older. Multimorbidity was defined as ≥ 2 chronic conditions based on a list of 15 diseases considered risk conditions for severe COVID-19. The analyses included calculation of prevalence and estimation of the absolute number of persons in the population at risk. Self-rated health status, frailty, and basic activities of daily living were used as markers of health status. Sex, age, region of the country, and schooling were used as covariables. Some 80% of the sample had at least one of the target conditions, which represents some 34 million individuals. Multimorbidity was reported by 52% of the study population, with higher proportions in the Central, Southeast, and South of Brazil. Cardiovascular diseases and obesity were the most frequent chronic conditions. An estimated 2.4 million Brazilians are at serious health risk. The results revealed inequalities according to schooling. The number of persons 50 years or older who presented risk conditions for severe COVID-19 is high both in absolute and relative terms. The estimate is important for planning strategies to monitor persons with chronic conditions and for preventive strategies to deal with the novel coronavirus.The article describes the use of blended care as a mechanism of action in the construction of a therapy that uses digital means to improve and support current clinical treatments. The so-called digital therapeutics provides evidence-based therapeutic interventions for patients, who are guided by software to prevent, manage, or treat a medical disorder or disease. They are used independently or together with drugs, devices, or other therapies to optimize patient care and health outcomes. They are similar to popular wellness applications, but with one key difference they focus on providing clinical results. Broadly speaking, they are evidence-based behavioral treatments delivered online, which can increase accessibility of health care and its efficacy. It is a combination of activities involving face-to-face care and digital care, aiming to provide follow-up of patients' performance in their self-care. Regarding blended care, digital therapeutics acts as an extension of physical care. They are complementary, regardless of the proportion used of each, in the care process of the assisted individual. It works as a bridge between the traditional provision of face-to-face care and eHealth solutions.
To propose a preliminary artificial intelligence model, based on artificial neural networks, for predicting the risk of nosocomial infection at intensive care units.

An artificial neural network is designed that employs supervised learning. The generation of the datasets was based on data derived from the Japanese Nosocomial Infection Surveillance system. It is studied how the Java Neural Network Simulator learns to categorize these patients to predict their risk of nosocomial infection. The simulations are performed with several backpropagation learning algorithms and with several groups of parameters, comparing their results through the sum of the squared errors and mean errors per pattern.

The backpropagation with momentum algorithm showed better performance than the backpropagation algorithm. The performance improved with the xor. README file parameter values compared to the default parameters. There were no failures in the categorization of the patients into their risk of nosocomial infection.

While this model is still based on a synthetic dataset, the excellent performance observed with a small number of patterns suggests that using higher numbers of variables and network layers to analyze larger volumes of data can create powerful artificial neural networks, potentially capable of precisely anticipating nosocomial infection at intensive care units. Using a real database during the simulations has the potential to realize the predictive ability of this model.
While this model is still based on a synthetic dataset, the excellent performance observed with a small number of patterns suggests that using higher numbers of variables and network layers to analyze larger volumes of data can create powerful artificial neural networks, potentially capable of precisely anticipating nosocomial infection at intensive care units. Using a real database during the simulations has the potential to realize the predictive ability of this model.
To assess the surgical antibiotic prophylaxis.

This was a descriptive study performed at a public tertiary care university hospital gathering prescription, sociodemographic and hospitalization data of inpatients admitted in 2014 who used antimicrobial drugs. This data were obtained from the hospital electronic database. The antimicrobial data were classified according to the anatomical, therapeutic chemical/defined daily dose per 1,000 inpatients. An exploratory analysis was performed using principal component analysis.

A total of 5,182 inpatients were prescribed surgical antibiotic prophylaxis. Of the total antimicrobial use, 11.7% were for surgical antibiotic prophylaxis. The orthopedic, thoracic and cardiovascular postoperative units, and postoperative intensive care unit comprised more than half of the total surgical antibiotic prophylaxis use (56.3%). The duration of antimicrobial use of these units were 2.2, 2.0, and 1.4 days, respectively. Third-generation cephalosporins and fluoroquinolones had the longest use among antimicrobial classes.

Surgical antibiotic prophylaxis was inadequate in the orthopedic, postoperative intensive care, thoracic and cardiovascular postoperative, gynecology and obstetrics, and otolaryngology units. Therefore, the development and implementation of additional strategies to promote surgical antibiotic stewardship at hospitals are essential.
Surgical antibiotic prophylaxis was inadequate in the orthopedic, postoperative intensive care, thoracic and cardiovascular postoperative, gynecology and obstetrics, and otolaryngology units. Therefore, the development and implementation of additional strategies to promote surgical antibiotic stewardship at hospitals are essential.Matrix degradation is an important event in the progression, invasion and metastasis of malignant head and neck lesions. Imbalances, mutations and polymorphisms of MMPs and their inhibitors are observed in several cancer subtypes. The aim of this study was to evaluate the association of the MMP-7 gene promoter (181 A/G) and MMP-9 (-1562 C/T) polymorphisms in oral tongue squamous cell carcinoma (OTSCC). MMP-7 (rs11568818) and MMP-9 (rs3918242) single-nucleotide polymorphisms (SNPs) were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis in 71 cases of OTSCC. Normal tissue specimens were obtained from 60 healthy volunteers to serve as the control. The MMP-7 G allele and MMP-9 T allele were more frequent in the OTSCC group than the control group, but only when these two SNPs were taken together was a significant association found with the nodal metastasis of OTSCC (p less then 0.001). Based on our results, SNPs in the promoter region of MMP-7 and MMP-9 appear to be associated with greater risk of developing OTSCC, and with a higher propensity to form metastatic tumors. In this respect, molecular studies investigating polymorphisms may be useful in predicting tumor behavior.Data on dental practices related to caries risk assessment (CRA) are scarce among Brazilian dentists. This study aimed to determine the prevalence of CRA use by dentists and factors associated with its use, as well as to quantify dentists' ratings of the importance of specific factors when treatment planning. Dentists registered at the Regional Council of Dentistry of São Paulo State - Araraquara region were sent two paper questionnaires that comprised a) characteristics of dentists themselves, their practices, and their patients; and b) the translated version of the "Assessment of Caries Diagnosis and Caries Treatment" Questionnaire from the U.S. National Dental Practice-Based Research Network. Participants were 206 dentists who currently practiced in Araraquara and treated dental caries. Descriptive statistics and multiple logistic regression analyses were used for data analysis. Thirty-six percent of the dentists reported they perform CRA and, among them, 36% indicated they record the assessment on a special form that is kept in the patient chart. More years since dental school graduation (OR = 1.1, p = 0.002) and holding an advanced academic degree (OR=2.6, p=0.005) were associated with a higher likelihood of performing CRA, whereas exclusively using a private practice model (OR = 0.5, p = 0.016) was associated with a lower likelihood of performing CRA. The current oral hygiene and commitment to return for follow-up were the most important risk factors for treatment planning. In conclusion, CRA was not a routine procedure in daily practice among the majority of participating dentists. Specific demographic, practice and academic education characteristics were associated with performing CRA.
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