First and second COVID-19 waves in Brazil: A cross-sectional study of patients’ characteristics related to hospitalization and in-hospital mortality

Zeiser, Felipe André; Donida, Bruna; Costa, Cristiano André da; Ramos, Grasieli de Oliveira; Scherer, Juliana Nichterwitz; Barcellos, Nêmora Tregnago; Alegretti, Ana Paula; Ikeda, Maria Letícia Rodrigues; Müller, Ana Paula Wernz C.; Bohn, Henrique; Santos, Ismael; Boni, Luiza; Antunes, Rodolfo Stoffel; Righi, Rodrigo da Rosa; Rigo, Sandro José

doi:10.1016/j.lana.2021.100107

Cited by 80 publications

(140 citation statements)

References 40 publications

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“…reported that in-hospital mortality subsequently increased in sub-groups of patients aged ≥60 years in a retrospective analysis of a nationwide Brazilian database. 15 Our prospective study confirmed this finding, as we observed an increased age-related risk of in-hospital mortality in patients hospitalized with COVID-19 adjusted for confounding factors. Our findings highlight the importance of stratifying patients with COVID-19 with SAPS-III and SOFA scores at hospital admission to predict in-hospital mortality.…”

Section: Discussionsupporting

confidence: 85%

In-hospital mortality and severe outcomes after hospital discharge due to COVID-19: A prospective multicenter study from Brazil

Perazzo

Cardoso

Ribeiro

et al. 2022

The Lancet Regional Health - Americas

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Section: Discussionsupporting

confidence: 85%

In-hospital mortality and severe outcomes after hospital discharge due to COVID-19: A prospective multicenter study from Brazil

Perazzo

Cardoso

Ribeiro

et al. 2022

The Lancet Regional Health - Americas

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“…Several other countries in Europe and also on other continents had waves with very high case numbers during winter 2020/2021 followed by a wave during spring 2021. Remarkably, hospitalization and intensive care rates were lower overall and especially in the older age groups, whereas younger age groups tended to have even higher rates of severe cases in spring (24,(26)(27)(28)(29)(30). The reduced burden in the oldest age group is consistent with the start of the immunization program at the end of 2020 which mostly prioritized older age groups and effectively prevented severe cases in the most vulnerable population (31).…”

Section: Discussionmentioning

confidence: 99%

ICD-10 based syndromic surveillance enables robust estimation of burden of severe COVID-19 requiring hospitalization and intensive care treatment

Tolksdorf

Haas

Schuler

et al. 2022

Preprint

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Objective: With the emergence of coronavirus disease 2019 (COVID-19) countries had to establish COVID-19 surveillance by adapting existing systems, such as the mandatory notification system and syndromic surveillance systems. We estimated COVID-19 hospitalization and ICU burden from existing severe acute respiratory infections (SARI) surveillance and compared it to COVID-19 notification data. Methods: Using data from the ICD-10 based hospital sentinel, we estimated SARI incidence and validated our estimations retrospectively using full population data. We estimated age-specific incidences for COVID-19 hospitalization and ICU for the first three COVID-19 waves in Germany, based on information of SARI cases (COVID-SARI). We compared these estimations to hospitalization and ICU burden of COVID-19 from notification data and described potential underreporting of hospitalizations in notification data. Findings: The estimation of SARI incidence from sentinel data corresponded very well to full population data. The estimated COVID-SARI incidence matched the notified COVID-19 hospitalization incidence in the first wave, but was much higher during the second and the third wave. The proportion of unknown hospitalization status among notified COVID-19 cases was much higher in the later waves compared to the first wave. For all waves, the ICU incidence estimated from COVID-SARI was considerably higher than the results from notification data. Conclusion: The use of SARI sentinel data adds valid and important information for assessing COVID-19 hospitalization and ICU burden, especially in times with high case numbers where notification data may be more incomplete.

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“…8 In the peak of COVID-19 deaths in Brazil, infection control policies were required to prevent the collapse of hospitals, which frequently included a shortage of beds and oxygen. 9 By preventing nosocomial outbreaks, our strategy was partially responsible for keeping the hospital to its total capacity. In conclusion, we found that strict hospital infection control may be associated with lower COVID-19 transmission in hospitalized patients.…”

Section: To the Editor -mentioning

confidence: 99%

Impact of rigorous clinical and laboratory screening for coronavirus disease 2019 (COVID-19) in a teaching hospital in inner Brazil

Proença

Fortaleza

Sawazaki

et al. 2022

Infect. Control Hosp. Epidemiol.

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First and second COVID-19 waves in Brazil: A cross-sectional study of patients’ characteristics related to hospitalization and in-hospital mortality

Cited by 80 publications

References 40 publications

In-hospital mortality and severe outcomes after hospital discharge due to COVID-19: A prospective multicenter study from Brazil

In-hospital mortality and severe outcomes after hospital discharge due to COVID-19: A prospective multicenter study from Brazil

ICD-10 based syndromic surveillance enables robust estimation of burden of severe COVID-19 requiring hospitalization and intensive care treatment

Impact of rigorous clinical and laboratory screening for coronavirus disease 2019 (COVID-19) in a teaching hospital in inner Brazil

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