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1.
Rev Soc Bras Med Trop ; 54: e0383, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34787262

RESUMO

In this study, we report the occurrence of multisystemic inflammatory syndrome among 64 children (2 deaths) with recent severe acute respiratory syndrome-related coronavirus 2 (SARS-COV-2) infections in the northeast region of Brazil. The major clinical symptoms and signs reported were exanthema (60.9%), abdominal pain (56.3%), nausea and vomiting (46.9%), diarrhea (37.5%), and dyspnea (37.5%). Laboratory findings revealed that the levels of C-reactive protein (75.0%), hemoglobin (51.6%), D-dimer (48.4%), lymphocytes (43.8%), LDH (45.3%), AST (42.2%), ALT (51.6%), and ferritin (48.4%) were above the reference values for a given age and gender. The clinical findings were similar to those observed in Kawasaki disease, although it represents a separate entity, emphasizing the need for proactive surveillance and early treatment.


Assuntos
COVID-19 , Síndrome de Linfonodos Mucocutâneos , Brasil/epidemiologia , Criança , Humanos , Síndrome de Linfonodos Mucocutâneos/epidemiologia , Pandemias , SARS-CoV-2
2.
Rev Soc Bras Med Trop ; 53: e20200354, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32638888

RESUMO

INTRODUCTION: COVID-19 emerged in late 2019 and quickly became a serious public health problem worldwide. This study aim to describe the epidemiological course of cases and deaths due to COVID-19 and their impact on hospital bed occupancy rates in the first 45 days of the epidemic in the state of Ceará, Northeastern Brazil. METHODS: The study used an ecological design with data gathered from multiple government and health care sources. Data were analyzed using Epi Info software. RESULTS: The first cases were confirmed on March 15, 2020. After 45 days, 37,268 cases reported in 85.9% of Ceará's municipalities, with 1,019 deaths. Laboratory test positivity reached 84.8% at the end of April, a period in which more than 700 daily tests were processed. The average age of cases was 67 (<1 - 101) years, most occurred in a hospital environment (91.9%), and 58% required hospitalization in an ICU bed. The average time between the onset of symptoms and death was 18 (1 - 56) days. Patients who died in the hospital had spent an average of six (0 - 40) days hospitalized. Across Ceará, the bed occupancy rate reached 71.3% in the wards and 80.5% in the ICU. CONCLUSIONS: The first 45 days of the COVID-19 epidemic in Ceará revealed a large number of cases and deaths, spreading initially among the population with a high socioeconomic status. Despite the efforts by the health services and social isolation measures the health system still collapsed.


Assuntos
Ocupação de Leitos/estatística & dados numéricos , Betacoronavirus , Infecções por Coronavirus/epidemiologia , Necessidades e Demandas de Serviços de Saúde/estatística & dados numéricos , Pneumonia Viral/epidemiologia , Adolescente , Adulto , Distribuição por Idade , Idoso , Idoso de 80 Anos ou mais , Brasil/epidemiologia , COVID-19 , Criança , Pré-Escolar , Infecções por Coronavirus/mortalidade , Análise de Dados , Feminino , Pesquisas sobre Atenção à Saúde/estatística & dados numéricos , Unidades Hospitalares/estatística & dados numéricos , Humanos , Lactente , Unidades de Terapia Intensiva/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Pandemias , Pneumonia Viral/mortalidade , SARS-CoV-2 , Distribuição por Sexo , Fatores de Tempo , Adulto Jovem
3.
Epidemiol Serv Saude ; 28(3): e2018397, 2019.
Artigo em Inglês, Português | MEDLINE | ID: mdl-31800868

RESUMO

OBJECTIVE: to describe the experience and preliminary results of the Arbovirus Death Investigation Committee in Ceará, Brazil, in 2017. METHODS: the Committee investigates and discusses all suspected cases of arbovirus deaths reported by the epidemiological surveillance service. RESULTS: a total of 443 suspected arbovirus deaths were reported, 220 (49.7%) of which were confirmed; of these, 88.2% were from chikungunya and 11.8% from dengue; the median age of chikungunya deaths was higher when compared to dengue (77 versus 56 years) and the time until death was also longer when compared to dengue (38 versus 12 days); median time for case closure was 54.5 days; in 2017, Ceará confirmed 80.4% of Brazilian chikungunya deaths. CONCLUSION: the investigation of deaths showed that CHIK viruses were responsible for the majority of arboviral deaths in the state of Ceará, in 2017.


Assuntos
Infecções por Arbovirus/epidemiologia , Febre de Chikungunya/epidemiologia , Dengue/epidemiologia , Adolescente , Adulto , Distribuição por Idade , Idoso , Idoso de 80 Anos ou mais , Infecções por Arbovirus/mortalidade , Infecções por Arbovirus/virologia , Brasil/epidemiologia , Febre de Chikungunya/mortalidade , Criança , Pré-Escolar , Dengue/mortalidade , Feminino , Humanos , Lactente , Masculino , Pessoa de Meia-Idade , Fatores de Tempo , Adulto Jovem
4.
Rev. Soc. Bras. Med. Trop ; 54: e03832021, 2021. tab, graf
Artigo em Inglês | LILACS | ID: biblio-1347098

RESUMO

Abstract In this study, we report the occurrence of multisystemic inflammatory syndrome among 64 children (2 deaths) with recent severe acute respiratory syndrome-related coronavirus 2 (SARS-COV-2) infections in the northeast region of Brazil. The major clinical symptoms and signs reported were exanthema (60.9%), abdominal pain (56.3%), nausea and vomiting (46.9%), diarrhea (37.5%), and dyspnea (37.5%). Laboratory findings revealed that the levels of C-reactive protein (75.0%), hemoglobin (51.6%), D-dimer (48.4%), lymphocytes (43.8%), LDH (45.3%), AST (42.2%), ALT (51.6%), and ferritin (48.4%) were above the reference values for a given age and gender. The clinical findings were similar to those observed in Kawasaki disease, although it represents a separate entity, emphasizing the need for proactive surveillance and early treatment.


Assuntos
Humanos , Criança , COVID-19 , Síndrome de Linfonodos Mucocutâneos/epidemiologia , Brasil/epidemiologia , Pandemias , SARS-CoV-2
5.
Rev. Soc. Bras. Med. Trop ; 53: e20200354, 2020. tab, graf
Artigo em Inglês | SES-SP, Coleciona SUS (Brasil), LILACS | ID: biblio-1136826

RESUMO

Abstract INTRODUCTION: COVID-19 emerged in late 2019 and quickly became a serious public health problem worldwide. This study aim to describe the epidemiological course of cases and deaths due to COVID-19 and their impact on hospital bed occupancy rates in the first 45 days of the epidemic in the state of Ceará, Northeastern Brazil. METHODS: The study used an ecological design with data gathered from multiple government and health care sources. Data were analyzed using Epi Info software. RESULTS: The first cases were confirmed on March 15, 2020. After 45 days, 37,268 cases reported in 85.9% of Ceará's municipalities, with 1,019 deaths. Laboratory test positivity reached 84.8% at the end of April, a period in which more than 700 daily tests were processed. The average age of cases was 67 (<1 - 101) years, most occurred in a hospital environment (91.9%), and 58% required hospitalization in an ICU bed. The average time between the onset of symptoms and death was 18 (1 - 56) days. Patients who died in the hospital had spent an average of six (0 - 40) days hospitalized. Across Ceará, the bed occupancy rate reached 71.3% in the wards and 80.5% in the ICU. CONCLUSIONS: The first 45 days of the COVID-19 epidemic in Ceará revealed a large number of cases and deaths, spreading initially among the population with a high socioeconomic status. Despite the efforts by the health services and social isolation measures the health system still collapsed.


Assuntos
Humanos , Masculino , Feminino , Lactente , Pré-Escolar , Criança , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Adulto Jovem , Pneumonia Viral/epidemiologia , Ocupação de Leitos/estatística & dados numéricos , Betacoronavirus , Necessidades e Demandas de Serviços de Saúde/estatística & dados numéricos , Pneumonia Viral/mortalidade , Fatores de Tempo , Brasil/epidemiologia , Distribuição por Sexo , Infecções por Coronavirus , Infecções por Coronavirus/mortalidade , Infecções por Coronavirus/epidemiologia , Distribuição por Idade , Pesquisas sobre Atenção à Saúde/estatística & dados numéricos , Pandemias , Análise de Dados , Unidades Hospitalares/estatística & dados numéricos , Unidades de Terapia Intensiva/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Pessoa de Meia-Idade
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