Objective: To analyze the completeness of notifications of cases of severe acute respiratory illness from the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) during the COVID-19 pandemic, in the national database and in a regional database in the state of Minas Gerais, Brazil, in 2020. Methods: Descriptive study of the completeness of sociodemographic variables and those related to the etiology, clinical condition, evolution and diagnostic criteria of SIVEP-Influenza. Completeness was classified as excellent (greater than 95%), good (90 to 95%), fair (80 to 90%), poor (50 to 80%), and very poor (less than 50%). Results: The percentage of variables with excellent completeness was only 18.1% in the national database and 27.8% in the regional database. Conclusion: Low completeness of both SIVEP-Gripe databases was evidenced, making it necessary to improve the work process and routine training of professionals for the correct completion.

Objetivo: Analizar la completitud de las notificaciones de casos de síndrome respiratorio agudo severo del Sistema de Información de Vigilancia Epidemiológica de Influenza (SIVEP-Gripe) durante la pandemia de COVID-19, en la base de datos nacional y en una base de datos regional de salud en el estado de Minas Gerais, Brasil, en 2020. Métodos: Estudio descriptivo de la completitud de las variables sociodemográficas y las relacionadas con la etiología, cuadro clínico, evolución y criterios diagnósticos del SIVEP-Influenza. La exhaustividad se clasificó como excelente (más grande que 95%), buena (90 a 95%), regular (80 a 90%), mala (50 a 80%) y muy mala (menos que 50%). Resultados: El porcentaje de variables con excelente completitud fue solo del 18,1% en la base de datos nacional y del 27,8% en la base de datos regional. Conclusión: Se evidenció la baja completitud de ambas bases de datos SIVEP-Gripe, siendo necesario mejorar el proceso de trabajo y la rutina de capacitación de los profesionales para el correcto llenado.

Objetivo: Analisar a completude das notificações de casos de síndrome respiratória aguda grave no Sistema de Informação de Vigilência Epidemiológica da Gripo (SIVEP Gripe) durante a pandemia de COVID-19, na base de dados nacional e na base da Unidade Regional de Saúde do estado de Minas Gerais, Brasil, em 2020. Métodos: Estudo descritivo da completude das variáveis sociodemográficas e das relativas à etiologia, condição clínica, evolução e critérios diagnósticos do SIVEP-Gripe. O nível de completude foi classificado como excelente (gt;95%), bom (90 a 95%), regular (80 a 90%), ruim (50 a 80%) ou muito ruim (lt;50%). Resultados: O percentual de variáveis com completudo excelente foi de apenas 18,1% na base de dados nacional, e de 27,8% na base de dados regional. Conclusão: Evidenciou-se baixa completude de ambas bases dados do SIVEP-Gripe, tornando-se necessários aperfeiçoamentos no processo de trabalho e capacitações rotineiras dos profissionais para o correto preenchimento.

Resumo Objetivo: Analisar a completude das notificações de casos de síndrome respiratória aguda grave no Sistema de Informação de Vigilância Epidemiológica da Gripe (SIVEP-Gripe) durante a pandemia de COVID-19, na base de dados nacional e na base da Unidade Regional de Saúde do estado de Minas Gerais, Brasil, em 2020. Métodos: Estudo descritivo da completude das variáveis sociodemográficas e das relativas à etiologia, condição clínica, evolução e critérios diagnósticos do SIVEP-Gripe. O nível de completude foi classificado como excelente (> 95%), bom (90% a 95%), regular (80% a 90%), ruim (50% a 80%) ou muito ruim (< 50%). Resultados: O percentual de variáveis com completude excelente foi de apenas 18,1% na base de dados nacional, e de 27,8% na base de dados regional. Conclusão: Evidenciou-se baixa completude de ambas as bases de dados do SIVEP-Gripe, tornando-se necessários aperfeiçoamentos no processo de trabalho e capacitações rotineiras dos profissionais para o correto preenchimento.

Abstract Objective: To analyze the completeness of notifications of severe acute respiratory syndrome cases on the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) during the COVID-19 pandemic, on the national database and on the Regional Health Center database of the state of Minas Gerais, Brazil, in 2020. Methods: This was a descriptive study of the completeness of sociodemographic variables and those related to etiology, clinical condition, evolution and diagnostic criteria of SIVEP-Gripe. The level of completeness was classified as excellent (> 95%), good (90% to 95%), regular (80% to 90%), poor (50% to 80%) or very poor (< 50%). Results: The percentage of variables with excellent completeness was only 18.1% on the national database, and 27.8% on the regional database. Conclusion: Both SIVEP-Gripe databases presented low completeness, making it necessary to improve the work process and routine training of professionals aimed at the correct filling.

Resumen Objetivo: Analizar la completitud de las notificaciones de casos de síndrome respiratorio agudo severo del Sistema de Información de Vigilancia Epidemiológica de la Gripe (SIVEP-Gripe) durante la pandemia de COVID-19, en la base de datos nacional y en una base de datos regional de salud en el estado de Minas Gerais, Brasil, en 2020. Métodos: Estudio descriptivo de la completitud de las variables sociodemográficas y las relacionadas con la etiología, cuadro clínico, evolución y criterios diagnósticos del SIVEP-Gripe. El nivel de completitud se clasificó como excelente (> 95%), bueno (90% a 95%), regular (80% a 90%), malo a (50% a 80%) y muy malo (< 50%). Resultados: El porcentaje de variables con excelente completitud fue solo del 18,1% en la base de datos nacional y del 27,8% en la base de datos regional. Conclusión: Se evidenció la baja completitud de ambas bases de datos SIVEP-Gripe, lo que hace necesario mejorar el proceso de trabajo y la rutina de capacitación de los profesionales.

Resumo Objetivo: Analisar a completude das notificações de casos de síndrome respiratória aguda grave no Sistema de Informação de Vigilância Epidemiológica da Gripe (SIVEP-Gripe) durante a pandemia de COVID-19, na base de dados nacional e na base da Unidade Regional de Saúde do estado de Minas Gerais, Brasil, em 2020. Métodos: Estudo descritivo da completude das variáveis sociodemográficas e das relativas à etiologia, condição clínica, evolução e critérios diagnósticos do SIVEP-Gripe. O nível de completude foi classificado como excelente (> 95%), bom (90% a 95%), regular (80% a 90%), ruim (50% a 80%) ou muito ruim (< 50%). Resultados: O percentual de variáveis com completude excelente foi de apenas 18,1% na base de dados nacional, e de 27,8% na base de dados regional. Conclusão: Evidenciou-se baixa completude de ambas as bases de dados do SIVEP-Gripe, tornando-se necessários aperfeiçoamentos no processo de trabalho e capacitações rotineiras dos profissionais para o correto preenchimento.

Resumen Objetivo: Analizar la completitud de las notificaciones de casos de síndrome respiratorio agudo severo del Sistema de Información de Vigilancia Epidemiológica de la Gripe (SIVEP-Gripe) durante la pandemia de COVID-19, en la base de datos nacional y en una base de datos regional de salud en el estado de Minas Gerais, Brasil, en 2020. Métodos: Estudio descriptivo de la completitud de las variables sociodemográficas y las relacionadas con la etiología, cuadro clínico, evolución y criterios diagnósticos del SIVEP-Gripe. El nivel de completitud se clasificó como excelente (> 95%), bueno (90% a 95%), regular (80% a 90%), malo a (50% a 80%) y muy malo (< 50%). Resultados: El porcentaje de variables con excelente completitud fue solo del 18,1% en la base de datos nacional y del 27,8% en la base de datos regional. Conclusión: Se evidenció la baja completitud de ambas bases de datos SIVEP-Gripe, lo que hace necesario mejorar el proceso de trabajo y la rutina de capacitación de los profesionales.

Abstract Objective: To analyze the completeness of notifications of severe acute respiratory syndrome cases on the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) during the COVID-19 pandemic, on the national database and on the Regional Health Center database of the state of Minas Gerais, Brazil, in 2020. Methods: This was a descriptive study of the completeness of sociodemographic variables and those related to etiology, clinical condition, evolution and diagnostic criteria of SIVEP-Gripe. The level of completeness was classified as excellent (> 95%), good (90% to 95%), regular (80% to 90%), poor (50% to 80%) or very poor (< 50%). Results: The percentage of variables with excellent completeness was only 18.1% on the national database, and 27.8% on the regional database. Conclusion: Both SIVEP-Gripe databases presented low completeness, making it necessary to improve the work process and routine training of professionals aimed at the correct filling.

ABSTRACT Given the magnitude of COVID-19 and the increase in hospitalization cases for severe acute respiratory syndrome (SARS), especially among patients with diabetes mellitus, it is essential to understand the epidemiological aspects inherent to the disease and the worsening of cases. Thus, this study aimed to analyze the survival of patients with diabetes mellitus hospitalized for SARS due to COVID-19 in different regions of Brazil. This is a longitudinal study, carried out based on data reported in the Influenza Epidemiological Surveillance Information System during the year 2020. The number of patients with diabetes mellitus among the hospitalized cases of SARS due to COVID-19 in the different regions of Brazil and the lethality rate among them were identified. A comparison of patient profiles of those who survived or did not survive and the Cox regression analysis were performed to evaluate the factors associated with shorter survival of patients. It was found that 51.4% of patients hospitalized with SARS due to COVID-19 had diabetes, and the case lethality rate among them was 45.0%. The Northeastern and Northern regions presented a higher proportion of patients with diabetes mellitus (56.5% and 54.3%, respectively) and a higher lethality rate (53.8% and 59.9%, respectively). The mean survival time of cases with diabetes mellitus hospitalized for SARS due to COVID-19 was estimated to be 35.7 days (0.5 days). A lower survival rate was observed among residents of the Northeastern and Northern regions with skin color reported as non-white, who required admission to Intensive Care Units and invasive mechanical ventilation, and presented respiratory symptoms such as dyspnea, respiratory distress and an oxygen saturation lower than 95%. It is concluded that diabetes mellitus was responsible for the high occurrence and lethality, mainly in the Northeastern and Northern regions, among non-white patients and those with greater clinical severity, which reinforces the importance of taking measures aimed at supporting this population.

RESUMO Objetivo: Caracterizar a situação de aleitamento materno e da adequação de prescrição de fórmulas infantis a lactentes assistidos por um programa de Atenção Secundária do Sistema Único de Saúde. Métodos: Trata-se de estudo transversal pela análise de prontuários de 350 lactentes de zero a 6 meses, acompanhados entre fevereiro a abril de 2019. Resultados: A possibilidade de aleitamento materno esteve presente em 97,0% das mães, e nenhum lactente apresentou condição médica aceitável para a proscrição do aleitamento materno. Apesar disso, apenas 47,2% dos casos estavam em aleitamento materno exclusivo antes do encaminhamento ao programa. Em relação aos motivos da introdução das fórmulas infantis, a complementação ao leite materno foi o mais presente (75,8%), seguido da volta da mãe ao mercado de trabalho (20,1%). As taxas gerais de inadequação dentre os prescritos foram de 65% antes da chegada ao programa, passando para 69% (fórmulas padrão) e 80% (fórmulas para fins especiais) durante o acompanhamento. Conclusão: A baixa taxa de aleitamento materno exclusivo e a prescrição indiscriminada de fórmulas infantis são preocupantes por causar prejuízos à saúde maternoinfantil e financeira do Sistema Único de Saúde.

ABSTRACT Objective: To characterize the situation of breastfeeding and the adequacy of prescription of infant formulas to infants assisted by a secondary care program of the Public Health System. Methods: This is a cross-sectional study with analysis of medical records of 350 infants from zero to 6 months, followed up between February to April 2019. Results: The possibility of breastfeeding was present in 97.0% of mothers and no infant presented an acceptable medical condition for proscription of breastfeeding. Despite this, only 47.2% of cases were on exclusive breastfeeding before being referred to the program. Regarding the reasons for the introduction of infant formulas, complementation to breast milk was the most present (75.8%), followed by mothers returning to the job market (20.1%). The general rates of inadequacy of those prescribed were 65% before arriving at the program, increasing to 69% (standard formulas) and 80% (formulas for special purposes) during follow-up. Conclusion: The low rate of exclusive breastfeeding and the indiscriminate prescription of infant formulas are a concern for damage to maternal-child healthcare and sound finances of the Public Health System.

ABSTRACT Objective To establish percentile curves for measures and indices of body composition by age and sex and compare them with data from other ethnic groups. Subjects and methods Cross-sectional, population-based study with adults aged 20-59 years (n = 689). Percentile curves adjusted by a third degree polynomial function were constructed for skeletal mass index (SMI), fat mass index, body fat, and load-capacity metabolic indices (LCMI) based on dual-energy X-ray absorptiometry (DXA). Results SMIweight and SMIBMI showed decline from the third decade of life in both sexes, whereas SMIheight was not able to identify lean mass loss over the ages studied. There was a slight drop at the end of the fifth decade (50-59 years) in men. Among Americans and Chinese, the 50th percentile curve of SMIheight showed an earlier decline. The estimates of adiposity and LCMI curves peaked between 40-49 years and Americans and Chinese maintained an upward curve throughout adulthood. Conclusion The data and curves showed that the SMI adjusted for BMI and body weight were more adequate in detecting the decline of lean mass in adults due to aging. In contrast, SMIheight had a positive correlation with age and its curve increased throughout the evaluated age groups. The results contribute to the evaluation to the nutritional status of adults and to the prevention and treatment of outcomes related to adiposity and deficit lean mass.