Clinical Features and Disease Management in Adult Patients With Atopic Dermatitis Receiving Care at Reference Hospitals in Brazil: the ADAPT Study.

BACKGROUND: Atopic dermatitis is a chronic inflammatory skin disease with a prevalence of 0.02% to 8.1% in adults. Adult patients with moderate-to-severe atopic dermatitis are affected by frequent relapses and a significant disease burden. Objective: To determine the clinical, immunological, and therapeutic profile of Brazilian adults with atopic dermatitis. METHODS: A multicenter, observational, retrospective, descriptive registry-based study was conducted at reference hospitals between December 2016 and October 2017. The data collected were demographics, personal and family history of atopic diseases, clinical manifestations, laboratory tests, disease severity and management. RESULTS: Of the 187 patients included in the analysis, 56.1% were female and 71.7% were White, with a mean age of 24.7 years. Mean follow-up was 9 years. Asthma or other allergic diseases were reported by 80.2% of patients. The main comorbidity was hypertension (10.2%), and common disease manifestations included pruritus and erythema. Lesions generally affected flexural and nonflexural areas, with typical morphology. Around 83% of patients had moderate-to-severe disease, and 8.6% reported at least 1 hospitalization. Most patients received topical and/or systemic pharmacological therapies, including omalizumab (5.9%); 4.3% received phototherapy. Moreover, 66.8% of patients received adjuvant therapy, and 79.1% changed or discontinued treatment for atopic dermatitis due to remission (46.5%), poor effectiveness (33.7%), or lack of adherence (12.9%). Most patients presented characteristics of type 2 inflammation, with immunoglobulin E levels above 100 IU/mL (94.4%) and peripheral blood eosinophils above 5% (55.9%). CONCLUSION: Brazilian adult patients with severe atopic dermatitis need treatment to efficiently control the disease and improve quality of life.

Mathematical model describing CoViD-19 in São Paulo, Brazil - evaluating isolation as control mechanism and forecasting epidemiological scenarios of release.

In São Paulo, Brazil, the first case of coronavirus disease 2019 (CoViD-19) was confirmed on 26 February, the first death due to CoViD-19 was registered on 16 March, and on 24 March, São Paulo implemented the isolation of persons in non-essential activities. A mathematical model was formulated based on non-linear ordinary differential equations considering young (60 years old or less) and elder (60 years old or more) subpopulations, aiming to describe the introduction and dissemination of the new coronavirus in São Paulo. This deterministic model used the data collected from São Paulo to estimate the model parameters, obtaining R0 = 6.8 for the basic reproduction number. The model also allowed to estimate that 50% of the population of São Paulo was in isolation, which permitted to describe the current epidemiological status. The goal of isolation implemented in São Paulo to control the rapid increase of the new coronavirus epidemic was partially succeeded, concluding that if isolation of at least 80% of the population had been implemented, the collapse in the health care system could be avoided. Nevertheless, the isolated persons must be released one day. Based on this model, we studied the potential epidemiological scenarios of release by varying the proportions of the release of young and elder persons. We also evaluated three different strategies of release: All isolated persons are released simultaneously, two and three releases divided in equal proportions. The better scenarios occurred when young persons are released, but maintaining elder persons isolated for a while. When compared with the epidemic without isolation, all strategies of release did not attain the goal of reducing substantially the number of hospitalisations due to severe CoViD-19. Hence, we concluded that the best decision must be postponing the beginning of the release.

The stabilizing effects of the acquired immunity on the schistosomiasis transmission modeling--the sensitivity analysis.

A mathematical model is proposed to analyze the effects of acquired immunity on the transmission of schistosomiasis in the human host. From this model the prevalence curve dependent on four parameters can be obtained. These parameters were estimated fitting the data by the maximum likelihood method. The model showed a good retrieving capacity of real data from two endemic areas of schistosomiasis: Touros, Brazil (Schistosoma mansoni) and Misungwi, Tanzania (S. haematobium). Also, the average worm burden per person and the dispersion of parasite per person in the community can be obtained from the model. In this paper, the stabilizing effects of the acquired immunity assumption in the model are assessed in terms of the epidemiological variables as follows. Regarded to the prevalence curve, we calculate the confidence interval, and related to the average worm burden and the worm dispersion in the community, the sensitivity analysis (the range of the variation) of both variables with respect to their parameters is performed.