7 research outputs found
Análise da pulsatilidade da testosterona em mulheres com ciclos menstruais ovulatórios
OBJECTIVE: To evaluate the pattern of the pulsatile secretion of testosterone in normal menstrual cycle. METHODS: Eight healthy women with ovulatory menstrual cycles were enrolled. Blood samples were collected at ten-minute intervals for six hours, starting between 7 and 8 am, after a ten-hour fasting, in three phases: mid-follicular (Day 7), late follicular (Day 12) and mid-luteal phase (Day 21). Samples were assayed for testosterone, LH and the baseline also for SHBG. RESULTS: Testosterone pulse frequency, mean amplitude pulse, percentage of increment in pulse amplitude, mean duration of pulses and pulse interval were similar in the three phases. LH pulsatility was statistically different among the three phases (p < 0.001) representing normal ovulatory cycles. CONCLUSIONS: These data increase the knowledge about the testosterone secretion profile in the human menstrual cycle and can be used as a contribution to clinical investigation in both hyperandrogenism and androgen insufficiency syndrome.OBJETIVO: Avaliar o padrão pulsátil da secreção da testosterona em mulheres normais. MÉTODOS: Oito mulheres saudáveis com ciclos ovulatórios foram selecionadas. Amostras sanguíneas foram coletadas a cada dez minutos durante seis horas, começando entre 7 e 8 h da manhã, após dez horas de jejum, nas três fases do ciclo menstrual: folicular média (Dia 7), folicular tardia (Dia 12) e lútea (Dia 21). Foram mensurados: testosterona, LH e, no basal, também SHBG. RESULTADOS: A frequência dos pulsos de testosterona, média da amplitude do pulso, porcentagem do incremento da amplitude, duração e intervalos dos pulsos foram similares nas três fases (p > 0,05). A pulsatilidade do LH foi estatisticamente diferente entre as três fases (p < 0,001), caracterizando padrão característico do ciclo ovulatório normal. CONCLUSÕES: Esses dados aumentam o conhecimento sobre o padrão de secreção da testosterona no ciclo menstrual humano e representam uma contribuição para a investigação clínica, tanto no hiperandrogenismo como na síndrome de insuficiência androgênica
Análise espaço-temporal da doença de Chagas e seus fatores de risco ambientais e demográficos no município de Barcarena, Pará, Brasil
To the Federal University of Pará (UFPA), to the Laboratory of Epidemiology and
Geoprocessing (EpiGeo) of the University of the State of Pará (UEPA), to the Laboratory
of Geoprocessing of the Evandro Chagas Institute (LabGeo/IEC), to the Health Department of
the Municipality of Barcarena (SESMUB), to the Coordination for the Improvement of Higher
Education Personnel (CAPES) and the National Council for Scientific and Technological
Development (CNPq).Universidade do Estado do Pará. Belém, PA, Brazil.Universidade do Estado do Pará. Belém, PA, Brazil.Universidade do Estado do Pará. Belém, PA, Brazil.Universidade do Estado do Pará. Belém, PA, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Secretaria Municipal de Saúde de Barcarena. Barcarena, PA, Brazil.Universidade do Estado do Pará. Belém, PA, Brazil.Universidade do Estado do Pará. Belém, PA, Brazil.Introduction: Chagas disease is a parasitosis considered a serious problem of public health. In the
municipality of Barcarena, Pará, from 2007 to 2014, occurred the highest prevalence of this disease in Brazil.
Objective: To analyze the disease distribution related to epidemiological, environmental and demographic
variables, in the area and period of the study. Methods: Epidemiological and demographic data of Barcarena
Health Department and satellite images from the National Institute For Space Research (INPE) were used.
The deforestation data were obtained through satellite image classification, using artificial neural network.
The statistical significance was done with the χ2 test, and the spatial dependence tests among the variables were
done using Kernel and Moran techniques. Results: The epidemiological curve indicated a disease seasonal
pattern. The major percentage of the cases were in male, brown skin color, adult, illiterate, urban areas and
with probable oral contamination. It was confirmed the spatial dependence of the disease cases with the
different types of deforestation identified in the municipality, as well as agglomerations of cases in urban and
rural areas. Discussion: The disease distribution did not occur homogeneously, possibly due to the municipality
demographic dynamics, with intense migratory flows that generates the deforestation. Conclusion: Different
relationships among the variables studied and the occurrence of the disease in the municipality were observed.
The technologies used were satisfactory to construct the disease epidemiological scenarios
Geoeconomic variations in epidemiology, ventilation management, and outcomes in invasively ventilated intensive care unit patients without acute respiratory distress syndrome: a pooled analysis of four observational studies
Background: Geoeconomic variations in epidemiology, the practice of ventilation, and outcome in invasively ventilated intensive care unit (ICU) patients without acute respiratory distress syndrome (ARDS) remain unexplored. In this analysis we aim to address these gaps using individual patient data of four large observational studies.
Methods: In this pooled analysis we harmonised individual patient data from the ERICC, LUNG SAFE, PRoVENT, and PRoVENT-iMiC prospective observational studies, which were conducted from June, 2011, to December, 2018, in 534 ICUs in 54 countries. We used the 2016 World Bank classification to define two geoeconomic regions: middle-income countries (MICs) and high-income countries (HICs). ARDS was defined according to the Berlin criteria. Descriptive statistics were used to compare patients in MICs versus HICs. The primary outcome was the use of low tidal volume ventilation (LTVV) for the first 3 days of mechanical ventilation. Secondary outcomes were key ventilation parameters (tidal volume size, positive end-expiratory pressure, fraction of inspired oxygen, peak pressure, plateau pressure, driving pressure, and respiratory rate), patient characteristics, the risk for and actual development of acute respiratory distress syndrome after the first day of ventilation, duration of ventilation, ICU length of stay, and ICU mortality.
Findings: Of the 7608 patients included in the original studies, this analysis included 3852 patients without ARDS, of whom 2345 were from MICs and 1507 were from HICs. Patients in MICs were younger, shorter and with a slightly lower body-mass index, more often had diabetes and active cancer, but less often chronic obstructive pulmonary disease and heart failure than patients from HICs. Sequential organ failure assessment scores were similar in MICs and HICs. Use of LTVV in MICs and HICs was comparable (42·4% vs 44·2%; absolute difference -1·69 [-9·58 to 6·11] p=0·67; data available in 3174 [82%] of 3852 patients). The median applied positive end expiratory pressure was lower in MICs than in HICs (5 [IQR 5-8] vs 6 [5-8] cm H2O; p=0·0011). ICU mortality was higher in MICs than in HICs (30·5% vs 19·9%; p=0·0004; adjusted effect 16·41% [95% CI 9·52-23·52]; p<0·0001) and was inversely associated with gross domestic product (adjusted odds ratio for a US$10 000 increase per capita 0·80 [95% CI 0·75-0·86]; p<0·0001).
Interpretation: Despite similar disease severity and ventilation management, ICU mortality in patients without ARDS is higher in MICs than in HICs, with a strong association with country-level economic status