Abstract Background The aim of this study was to evaluate disease activity among patients with axial spondyloarthritis (AS) treated with tumor necrosis factor inhibitors (TNFi) and/or nonsteroidal anti-inflammatory drugs (NSAIDs) for at least 12 weeks in private outpatient settings in Brazil. Methods This was a cross-sectional, real-world study conducted in 17 Brazilian private health care institutes. Patients were selected if diagnosed with AS or axial radiographic spondyloarthritis (AxSpA) and treated with NSAIDs or TNFi for at least 12 weeks within the last 26 weeks prior to enrollment. The data were collected from interviewed-based and self-administered questionnaires from patients and physicians. Disease activity was defined as active (≥ 4), low /suboptimal (≥ 2 and < 4) and inactive (< 4) by Bath AS Disease Activity Index (BASDAI) and/or very high (≥ 3.5), high (≥ 2.1 to < 3.5), low (≥ 1.3 to < 2.1), and inactive (< 1.3) by AS Disease Activity Score (ASDAS-CRP). Both patients and physicians’ perceptions of disease control were assessed using a numeric rating scale (NRS; 0—inactive to 10—very active disease). Results The cohort included 378 patients with a mean age of 46 years, and the median time since diagnosis until enrollment was 5.4 years (interquartile range 2.7–10.5). Most patients were treated with TNFi alone (74%), followed by TNFi in combination with NSAID (15%), and NSAID alone (11%). About half AS patients showed active disease and 24% of patients showed low activity/suboptimal disease control despite having been treated for at least 12 weeks. Although TNFi showed better disease control than NSAID, inactive disease was experienced by few patients. The NRS (mean [standard deviation]) score for disease perception was 4.24 (3.3) and 2.85 (2.6) for patients and physicians, respectively. Conclusion This real-world study showed that most AS patients on TNFi and/or NSAID had not achieved an adequate disease control, as almost 75% of them exhibited active disease or low activity/suboptimal disease control. There remains a need for improved disease management among patients with AS.

ABSTRACT BACKGROUND: Coronary heart disease (CHD) remains a major cause of mortality worldwide and in Brazil. Use of standard medications after CHD has been proven to avoid new events and reduce early mortality. OBJECTIVES: This study aimed to analyze secondary prevention of CHD and its association with the baseline characteristics of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). DESIGN AND SETTING: Cross-sectional analysis on ELSA-Brasil data. METHODS: Secondary prevention of CHD recommended in standard guidelines (antiplatelet plus beta-blocker plus lipid-lowering drug, with or without angiotensin-converting enzyme inhibitors, ACEI, or angiotensin receptor blockers, ARB) was evaluated in relation to sociodemographic data and the time since the coronary event. The chi-square test, one-way analysis of variance (ANOVA) and Mann-Whitney test were performed, as necessary. RESULTS: Among 15,094 participants, 2.7% reported a previous diagnosis of CHD. Use of recommended drugs for secondary prevention was reported by almost 35% of the participants. Medication use for secondary prevention was generally more frequent among high-income participants than among low-income participants. Use of ARB and ACEI was different between participants who had private health insurance and those who only used the public healthcare system. Men were more likely to use medication than women. The frequency with which participants used the recommended drugs was similar in all time periods after CHD, but use of only one drug increased progressively across time periods. CONCLUSION: The use of medication for secondary prevention of CHD was lower than what is recommended in standardized guidelines, especially among women and lower-income participants.

ABSTRACT BACKGROUND: Secondary prevention of stroke is a very important goal for achieving continuous reduction in stroke mortality rates over the next decades. DESIGN AND SETTING: Cross-sectional analysis on the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), with data from Salvador, Vitória, Belo Horizonte, Rio de Janeiro, São Paulo and Porto Alegre. METHODS: This descriptive analysis focused on secondary prevention of stroke among participants who self-reported a medical diagnosis of stroke at the baseline of ELSA-Brasil, and its association with sociodemographic characteristics. RESULTS: Overall, 197 participants (1.3%) reported a prior medical history of stroke. Participants with stroke were older and less educated and had lower mean monthly family income, compared with non-stroke participants. Among all stroke cases, 23.7% did not use any medication for secondary prevention of stroke. Use of secondary prevention was higher among men than among women (respectively, 59.6% versus 40.4%; P = 0.02 for aspirin; and 71.4% versus 28.6%; P = 0.04 for other antiplatelet drugs). Having private health insurance was associated with greater use of less cost-effective and more expensive medications (like angiotensinogen receptor blockers) and a tendency to use antiplatelet drugs other than aspirin, among participants reporting stroke, compared with others. Use of medication decreased as time passed after suffering a stroke. CONCLUSIONS: In this sample of individuals with better access to healthcare services, use of secondary prevention for stroke was low, which may suggest that the situation in the general population is worse. Sex was the most important sociodemographic variable associated with low use of secondary prevention.

The aim of this study was develop in silico studies with a data set of 1 H -imidazol-2-yl-pyrimidine-4,6-diamines derivatives described as antimalarial agents with the intention of obtain data and tools useful in the development of new drugs of this class. A QSAR model was developed using topological, geometrical and electronic molecular descriptors with aid of the OPS/PLS approach. The data set was also used for pharmacophoric modeling, that was used in the ZINC database for found compounds that show good fit with the model. Due to the similarity between the four selected hits in the virtual screening with the data set, the obtained equation was used for predict the potential antimalarial activity. All hits were within the applicablity domain of the QSAR model, and showed adquates Monge's leadlikeness score and predicted safety profiles.