Knowledge about the disease and adherence to treatment in patients with Diabetes

INTRODUCTION: Glycemic decompensation in is one of the major factors for the development of chronic disease complications. Factors involved in the adequate control of diabetes include adherence to pharmacological treatment and knowledge about the disease. METHODS: Cross-sectional study on the factors associated with adherence to drug treatment and knowledge about diabetes in diabetic patients treated at Hospital Universitário de Santa Maria between 2018 and 2019, based on the validated Morisky-Green test and on the Diabetes Knowledge Questionnaire. RESULTS: A total of 201 patients diagnosed with diabetes were included, the majority (85.6%) of which had type 2 diabetes and were white (75.6%), with a mean age of 59.4 years. An association between insufficient knowledge about diabetes and patients with type 2 diabetes was observed. An association was found between patients with type 2 diabetes using insulin and non-adherence to drug treatment compared with patients with type 2 diabetes who did use insulin. The research also showed that non-adherence to drug treatment was associated with higher occurrence of hypoglycemia compared with patients who adhered to drug treatment. CONCLUSION: The data obtained in our study allows us to conclude that non-adherence to pharmacological treatment makes diabetes therapy more complicated and worsens the prognosis.INTRODUCTION: Glycemic decompensation in is one of the major factors for the development of chronic disease complications. Factors involved in the adequate control of diabetes include adherence to pharmacological treatment and knowledge about the disease. METHODS: Cross-sectional study on the factors associated with adherence to drug treatment and knowledge about diabetes in diabetic patients treated at Hospital Universitário de Santa Maria between 2018 and 2019, based on the validated Morisky-Green test and on the Diabetes Knowledge Questionnaire. RESULTS: A total of 201 patients diagnosed with diabetes were included, the majority (85.6%) of which had type 2 diabetes and were white (75.6%), with a mean age of 59.4 years. An association between insufficient knowledge about diabetes and patients with type 2 diabetes was observed. An association was found between patients with type 2 diabetes using insulin and non-adherence to drug treatment compared with patients with type 2 diabetes who did use insulin. The research also showed that non-adherence to drug treatment was associated with higher occurrence of hypoglycemia compared with patients who adhered to drug treatment. CONCLUSION: The data obtained in our study allows us to conclude that non-adherence to pharmacological treatment makes diabetes therapy more complicated and worsens the prognosis

High anti-SARS-CoV-2 antibody seroconversion rates before the second wave in Manaus, Brazil, and the protective effect of social behaviour measures: results from the prospective DETECTCoV-19 cohort

Background: The city of Manaus, Brazil, has seen two collapses of the health system due to the COVID-19 pandemic. We report anti-SARS-CoV-2 nucleocapsid IgG antibody seroconversion rates and associated risk factors in Manaus residents before the second wave of the epidemic in Brazil. Methods: A convenience sample of adult (aged ≥18 years) residents of Manaus was recruited through online and university website advertising into the DETECTCoV-19 study cohort. The current analysis of seroconversion included a subgroup of DETECTCoV-19 participants who had at least two serum sample collections separated by at least 4 weeks between Aug 19 and Oct 2, 2020 (visit 1), and Oct 19 and Nov 27, 2020 (visit 2). Those who reported (or had no data on) having a COVID-19 diagnosis before visit 1, and who were positive for anti-SARS-CoV-2 nucleocapsid IgG antibodies at visit 1 were excluded. Using an in-house ELISA, the reactivity index (RI; calculated as the optical density ratio of the sample to the negative control) for serum anti-SARS-CoV-2 nucleocapsid IgG antibodies was measured at both visits. We calculated the incidence of seroconversion (defined as RI values ≤1·5 at visit 1 and ≥1·5 at visit 2, and a ratio >2 between the visit 2 and visit 1 RI values) during the study period, as well as incidence rate ratios (IRRs) through cluster-corrected and adjusted Poisson regression models to analyse associations between seroconversion and variables related to sociodemographic characteristics, health access, comorbidities, COVID-19 exposure, protective behaviours, and symptoms. Findings: 2496 DETECTCoV-19 cohort participants returned for a follow-up visit between Oct 19 and Nov 27, 2020, of whom 204 reported having COVID-19 before the first visit and 24 had no data regarding previous disease status. 559 participants were seropositive for anti-SARS-CoV-2 nucleocapsid IgG antibodies at baseline. Of the remaining 1709 participants who were seronegative at baseline, 71 did not meet the criteria for seroconversion and were excluded from the analyses. Among the remaining 1638 participants who were seronegative at baseline, 214 showed seroconversion at visit 2. The seroconversion incidence was 13·06% (95% CI 11·52–14·79) overall and 6·78% (5·61–8·10) for symptomatic seroconversion, over a median follow-up period of 57 days (IQR 54–61). 48·1% of seroconversion events were estimated to be asymptomatic. The sample had higher proportions of affluent and higher-educated people than those reported for the Manaus city population. In the fully adjusted and corrected model, risk factors for seroconversion before visit 2 were having a COVID-19 case in the household (IRR 1·49 [95% CI 1·21–1·83]), not wearing a mask during contact with a person with COVID-19 (1·25 [1·09–1·45]), relaxation of physical distancing (1·31 [1·05–1·64]), and having flu-like symptoms (1·79 [1·23–2·59]) or a COVID-19 diagnosis (3·57 [2·27–5·63]) between the first and second visits, whereas working remotely was associated with lower incidence (0·74 [0·56–0·97]). Interpretation: An intense infection transmission period preceded the second wave of COVID-19 in Manaus. Several modifiable behaviours increased the risk of seroconversion, including non-compliance with non-pharmaceutical interventions measures such as not wearing a mask during contact, relaxation of protective measures, and non-remote working. Increased testing in high-transmission areas is needed to provide timely information about ongoing transmission and aid appropriate implementation of transmission mitigation measures. Funding: Ministry of Education, Brazil; Fundação de Amparo à Pesquisa do Estado do Amazonas; Pan American Health Organization (PAHO)/WHO.World Health OrganizationRevisión por pare

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt

ENSAIO DE VIABILIZAÇÃO DO USO DE LODO RESIDUAL DO TRATAMENTO DE ESGOTOS COMO FERTILIZANTE

<p>O uso de fertilizantes é uma das práticas mais comuns do agronegócio em todo o mundo. Ainda assim, novas origens e tecnologias são constantemente procuradas no intuito de gerar produtos mais lucrativos às fabricantes, bem aceitos pelos agricultores e pouco danosos ao meio ambiente. Se buscarmos portanto uma origem sustentável para um novo fertilizante encontramos diversas possibilidades em um sistema de tratamento de esgotos, que gera um resíduo de alto valor nutritivo agregado, no caso,  o lodo  extraído da água após finalização do tratamento. Deste  modo,  são avaliados os teores de nutrientes do lodo residual do tratamento de esgotos, tal como possíveis rotas de aplicação e seus obstáculos diretos.</p&gt

Relationship between the critical shoulder angle and the development of rotator cuff lesions: a retrospective epidemiological study

ABSTRACT OBJECTIVE: To perform a retrospective epidemiological study of radiographs in order to evaluate the relationship between the anatomy of the scapula and the development of rotator cuff injuries (RCIs). METHODS: This study retrospectively evaluated the relation of the critical shoulder angle (CSA) and RCIs from January 2011 to November 2013; patients were examined in the Orthopedics and Traumatology Department of a university hospital. The CSA was measured by radiographic standardization of two groups: a control group of 34 asymptomatic shoulders and a study group of 44 shoulders with complete RCIs. RESULTS: The mean age in the control group was 59.97 years (45-84) and the mean age in the group with RCIs was 59.75 years (45-84). Regarding the CSA, the control group had a mean angle of 33.59° (±3.37) and the group with RCIs had a mean angle of 39.75° (±5.35; p< 0.007). CONCLUSION: There is an association between CSA and RCIs

Knowledge about the disease and adherence to treatment in patients with Diabetes

INTRODUCTION: Glycemic decompensation in is one of the major factors for the development of chronic disease complications. Factors involved in the adequate control of diabetes include adherence to pharmacological treatment and knowledge about the disease. METHODS: Cross-sectional study on the factors associated with adherence to drug treatment and knowledge about diabetes in diabetic patients treated at Hospital Universitário de Santa Maria between 2018 and 2019, based on the validated Morisky-Green test and on the Diabetes Knowledge Questionnaire. RESULTS: A total of 201 patients diagnosed with diabetes were included, the majority (85.6%) of which had type 2 diabetes and were white (75.6%), with a mean age of 59.4 years. An association between insufficient knowledge about diabetes and patients with type 2 diabetes was observed. An association was found between patients with type 2 diabetes using insulin and non-adherence to drug treatment compared with patients with type 2 diabetes who did use insulin. The research also showed that non-adherence to drug treatment was associated with higher occurrence of hypoglycemia compared with patients who adhered to drug treatment. CONCLUSION: The data obtained in our study allows us to conclude that non-adherence to pharmacological treatment makes diabetes therapy more complicated and worsens the prognosis.INTRODUCTION: Glycemic decompensation in is one of the major factors for the development of chronic disease complications. Factors involved in the adequate control of diabetes include adherence to pharmacological treatment and knowledge about the disease. METHODS: Cross-sectional study on the factors associated with adherence to drug treatment and knowledge about diabetes in diabetic patients treated at Hospital Universitário de Santa Maria between 2018 and 2019, based on the validated Morisky-Green test and on the Diabetes Knowledge Questionnaire. RESULTS: A total of 201 patients diagnosed with diabetes were included, the majority (85.6%) of which had type 2 diabetes and were white (75.6%), with a mean age of 59.4 years. An association between insufficient knowledge about diabetes and patients with type 2 diabetes was observed. An association was found between patients with type 2 diabetes using insulin and non-adherence to drug treatment compared with patients with type 2 diabetes who did use insulin. The research also showed that non-adherence to drug treatment was associated with higher occurrence of hypoglycemia compared with patients who adhered to drug treatment. CONCLUSION: The data obtained in our study allows us to conclude that non-adherence to pharmacological treatment makes diabetes therapy more complicated and worsens the prognosis