You searched for:"Fernando Augusto Bozza"
We found (11) results for your search.Abstract
Rev Bras Ter Intensiva. 2021;33(1):1-11
DOI 10.5935/0103-507X.20210001
To contribute to updating the recommendations for brain-dead potential organ donor management.
A group of 27 experts, including intensivists, transplant coordinators, transplant surgeons, and epidemiologists, answered questions related to the following topics were divided into mechanical ventilation, hemodynamics, endocrine-metabolic management, infection, body temperature, blood transfusion, and checklists use. The outcomes considered were cardiac arrests, number of organs removed or transplanted as well as function / survival of transplanted organs. The quality of evidence of the recommendations was assessed using the Grading of Recommendations Assessment, Development, and Evaluation system to classify the recommendations.
A total of 19 recommendations were drawn from the expert panel. Of these, 7 were classified as strong, 11 as weak and 1 was considered a good clinical practice.
Despite the agreement among panel members on most recommendations, the grade of recommendation was mostly weak.
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Rev Bras Ter Intensiva. 2011;23(2):125-133
DOI 10.1590/S0103-507X2011000200004
Dengue is the most common vector-borne viral infection worldwide. In Brazil, the incidence has increased with successive epidemics, and an increasing proportion of patients present with severe forms of the disease. The prognosis for these patients is directly influenced by the quality of medical care. These guidelines present the management of the severe forms of dengue, including the recognition of warning signs, the treatment for prompt re-establishment of euvolemia and the evaluation and appropriate care of potential complications, thus reducing morbidity and mortality of infected children and adults
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Rev Bras Ter Intensiva. 2021;33(2):183-187
DOI 10.5935/0103-507X.20210025
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Rev Bras Ter Intensiva. 2019;31(2):193-201
DOI 10.5935/0103-507X.20190033
To characterize resource availability from a nationally representative random sample of intensive care units in Brazil.
A structured online survey of participating units in the Sepsis PREvalence Assessment Database (SPREAD) study, a nationwide 1-day point prevalence survey to assess the burden of sepsis in Brazil, was sent to the medical director of each unit.
A representative sample of 277 of the 317 invited units responded to the resources survey. Most of the hospitals had fewer than 500 beds (94.6%) with a median of 14 beds in the intensive care unit. Providing care for public-insured patients was the main source of income in two-thirds of the surveyed units. Own microbiology laboratory was not available for 26.8% of the surveyed intensive care units, and 10.5% did not always have access to blood cultures. Broad spectrum antibiotics were not always available in 10.5% of surveyed units, and 21.3% could not always measure lactate within three hours. Those institutions with a high resource availability (158 units, 57%) were usually larger and preferentially served patients from the private health system compared to institutions without high resource availability. Otherwise, those without high resource availability did not always have broad-spectrum antibiotics (24.4%), vasopressors (4.2%) or crystalloids (7.6%).
Our study indicates that a relevant number of units cannot perform basic monitoring and therapeutic interventions in septic patients. Our results highlight major opportunities for improvement to adhere to simple but effective interventions in Brazil.
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Rev Bras Ter Intensiva. 2020;32(2):213-223
DOI 10.5935/0103-507X.20200028
To analyse the measures adopted by countries that have shown control over the transmission of coronavirus disease 2019 (COVID-19) and how each curve of accumulated cases behaved after the implementation of those measures.
The methodology adopted for this study comprises three phases: systemizing control measures adopted by different countries, identifying structural breaks in the growth of the number of cases for those countries, and analyzing Brazilian data in particular.
We noted that China (excluding Hubei Province), Hubei Province, and South Korea have been effective in their deceleration of the growth rates of COVID-19 cases. The effectiveness of the measures taken by these countries could be seen after 1 to 2 weeks of their application. In Italy and Spain, control measures at the national level were taken at a late stage of the epidemic, which could have contributed to the high propagation of COVID-19. In Brazil, Rio de Janeiro and São Paulo adopted measures that could be effective in slowing the propagation of the virus. However, we only expect to see their effects on the growth of the curve in the coming days.
Our results may help decisionmakers in countries in relatively early stages of the epidemic, especially Brazil, understand the importance of control measures in decelerating the growth curve of confirmed cases.
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Rev Bras Ter Intensiva. 2020;32(2):224-228
DOI 10.5935/0103-507X.20200030
To estimate the reporting rates of coronavirus disease 2019 (COVID-19) cases for Brazil as a whole and states.
We estimated the actual number of COVID-19 cases using the reported number of deaths in Brazil and each state, and the expected case-fatality ratio from the World Health Organization. Brazil’s expected case-fatality ratio was also adjusted by the population’s age pyramid. Therefore, the notification rate can be defined as the number of confirmed cases (notified by the Ministry of Health) divided by the number of expected cases (estimated from the number of deaths).
The reporting rate for COVID-19 in Brazil was estimated at 9.2% (95%CI 8.8% - 9.5%), with all the states presenting rates below 30%. São Paulo and Rio de Janeiro, the most populated states in Brazil, showed small reporting rates (8.9% and 7.2%, respectively). The highest reporting rate occurred in Roraima (31.7%) and the lowest in Paraiba (3.4%).
The results indicated that the reporting of confirmed cases in Brazil is much lower as compared to other countries we analyzed. Therefore, decision-makers, including the government, fail to know the actual dimension of the pandemic, which may interfere with the determination of control measures.
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Crit Care Sci. 2023;35(2):236-238
DOI 10.5935/2965-2774.20230428-pt
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Rev Bras Ter Intensiva. 2006;18(4):328-330