You searched for:"Silvio Hamacher"
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Commentary
Prediction of intensive care units length of stay: a concise review
Rev Bras Ter Intensiva. 2021;33(2):183-187
Abstract
CommentaryPrediction of intensive care units length of stay: a concise review
Rev Bras Ter Intensiva. 2021;33(2):183-187
DOI 10.5935/0103-507X.20210025
Views1INTRODUCTIONThe length of stay (LOS) in the intensive care unit (ICU) is one of the most commonly used metrics for quality of care. Despite its potential limitations, ICU LOS is easy to measure, reproducible and can be used as a proxy for resource use, costs, and efficiency.() Moreover, it is a patient-centered outcome; therefore, it […]See more -
Original Article
Analysis of COVID-19 under-reporting in Brazil
Rev Bras Ter Intensiva. 2020;32(2):224-228
Abstract
Original ArticleAnalysis of COVID-19 under-reporting in Brazil
Rev Bras Ter Intensiva. 2020;32(2):224-228
DOI 10.5935/0103-507X.20200030
Views4ABSTRACT
Objective:
To estimate the reporting rates of coronavirus disease 2019 (COVID-19) cases for Brazil as a whole and states.
Methods:
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).
Results:
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%).
Conclusion:
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.
Keywords:BrazilCoronavirus infectionsCOVID-19MortalityPandemics/statistics & numerical dataReporting of healthcare dataSee more -
Original Article
Progression of confirmed COVID-19 cases after the implementation of control measures
Rev Bras Ter Intensiva. 2020;32(2):213-223
Abstract
Original ArticleProgression of confirmed COVID-19 cases after the implementation of control measures
Rev Bras Ter Intensiva. 2020;32(2):213-223
DOI 10.5935/0103-507X.20200028
Views0ABSTRACT
Objective:
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.
Methods:
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.
Results:
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.
Conclusion:
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.
Keywords:Control measureCoronavirus infections/prevention & controlCOVID-19Decision makeInfection control/methodsPandemics/prevention & controlSee more
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Case reports Child Coronavirus infections COVID-19 Critical care Critical illness Infant, newborn Intensive care Intensive care units Intensive care units, pediatric mechanical ventilation Mortality Physical therapy modalities Prognosis Respiration, artificial Respiratory insufficiency risk factors SARS-CoV-2 Sepsis Septic shock