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The 11th International Statistical Classification of Diseases and Related Health Problems (ICD-11) represents an advance in the focus on knowledge and new disease approaches. The ICD is used for different practical purposes, enabling assessment of progress in the global health agenda, resource allocation, patient safety, health care qualification, and health insurance reimbursement. It is entirely digital, with technological resources that allow periodic updating. In early 2022, ICD-11 entered into official force, having been made available in several official ICD languages such as Arabic, Chinese, Spanish, French, and English. The translation process into Brazilian Portuguese, coordinated by the Federal University of Minas Gerais (UFMG), with support from the Brazilian Ministry of Health (MS) and PAHO/WHO, is presented here. The work was carried out in three stages between August 2021 and December 2022 by translators with different backgrounds: medical specialists (49), physiotherapists (1), pharmacologists (1), and dentists (1). This methodological article aims to broaden the discussion of perspectives on implementing the ICD-11 in Brazil and build an opportunity for its adaptation and use by other Portuguese-speaking countries.

A 11a Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde representa um avanço no enfoque do conhecimento e em novas abordagens das doenças. A Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde é utilizada para diferentes finalidades práticas, possibilitando avaliação do avanço da agenda de saúde global, alocação de recursos, segurança do paciente, qualificação da assistência à saúde e reembolso de seguros de saúde. É inteiramente digital, com recursos tecnológicos que permitem sua atualização periódica. No início de 2022, a 11a Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde entrou em vigência oficial, tendo sido disponibilizada em vários de seus idiomas oficiais, como o árabe, chinês, espanhol, francês e inglês. Apresenta-se aqui o processo de tradução para a língua portuguesa em uso no Brasil, coordenado pela Universidade Federal de Minas Gerais, com apoio do Ministério da Saúde do Brasil e da Organização Pan-Americana da Saúde/Organização Mundial da Saúde. O trabalho foi realizado em três etapas entre agosto de 2021 e dezembro de 2022 por tradutores com diferentes formações: médicos especialistas (49), fisioterapeuta (1), farmacologista (1) e odontologista (1). Com este artigo metodológico, almeja-se ampliar a discussão de perspectivas para implementação da 11a Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde no Brasil e construir uma oportunidade para sua adaptação e uso por outros países de língua oficial portuguesa.

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RESUMO A 11a Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde representa um avanço no enfoque do conhecimento e em novas abordagens das doenças. A Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde é utilizada para diferentes finalidades práticas, possibilitando avaliação do avanço da agenda de saúde global, alocação de recursos, segurança do paciente, qualificação da assistência à saúde e reembolso de seguros de saúde. É inteiramente digital, com recursos tecnológicos que permitem sua atualização periódica. No início de 2022, a 11a Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde entrou em vigência oficial, tendo sido disponibilizada em vários de seus idiomas oficiais, como o árabe, chinês, espanhol, francês e inglês. Apresenta-se aqui o processo de tradução para a língua portuguesa em uso no Brasil, coordenado pela Universidade Federal de Minas Gerais, com apoio do Ministério da Saúde do Brasil e da Organização Pan-Americana da Saúde/Organização Mundial da Saúde. O trabalho foi realizado em três etapas entre agosto de 2021 e dezembro de 2022 por tradutores com diferentes formações: médicos especialistas (49), fisioterapeuta (1), farmacologista (1) e odontologista (1). Com este artigo metodológico, almeja-se ampliar a discussão de perspectivas para implementação da 11a Classificação Estatística Internacional de Doenças e Problemas Relacionados à Saúde no Brasil e construir uma oportunidade para sua adaptação e uso por outros países de língua oficial portuguesa.

ABSTRACT The 11th International Statistical Classification of Diseases and Related Health Problems (ICD-11) represents an advance in the focus on knowledge and new disease approaches. The ICD is used for different practical purposes, enabling assessment of progress in the global health agenda, resource allocation, patient safety, health care qualification, and health insurance reimbursement. It is entirely digital, with technological resources that allow periodic updating. In early 2022, ICD-11 entered into official force, having been made available in several official ICD languages such as Arabic, Chinese, Spanish, French, and English. The translation process into Brazilian Portuguese, coordinated by the Federal University of Minas Gerais (UFMG), with support from the Brazilian Ministry of Health (MS) and PAHO/WHO, is presented here. The work was carried out in three stages between August 2021 and December 2022 by translators with different backgrounds: medical specialists (49), physiotherapists (1), pharmacologists (1), and dentists (1). This methodological article aims to broaden the discussion of perspectives on implementing the ICD-11 in Brazil and build an opportunity for its adaptation and use by other Portuguese-speaking countries.

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INTRODUCTION: This study aimed to estimate the burden of stroke mortality due to low levels of physical activity (PA) in Brazil from 1990 to 2019. METHODS: Data from the 2019 Global Burden of Disease (GBD) study for Brazil and Brazilian states were used. We used the number of deaths, age-standardized mortality rates, summary exposure value, and fraction of population risk attributable to low levels of PA. To standardize all estimates, data from the population aged 25 years or older were considered. RESULTS: The risk of exposure to low PA, SEV values, for the Brazilian male population was 11.8% (95%UI: 6.7; 19.9) and for the Brazilian female population was 13.2% (95%UI: 8.6; 19.2) in 2019. For males, it was estimated that there were, respectively, 2,025 (95%UI: 271; 4,839) and 3,595 (95%UI: 658; 7,302) deaths in 1990 and 2019 due to stroke attributable to low PA. For females, there were 2,518 (95%UI: 498; 5,006) and 4,735 (95%UI: 1,286; 8,495) deaths in 1990 and 2019 due to stroke attributable to low PA, respectively. From 1990 to 2019, reductions of 44.0% for males (95%UI: -0.54; -0.05) and 52.0% for females (95%UI: -0.60; -0.30) in age-standardized mortality rates due to stroke attributed to low PA were observed. Approximately 6.1% (for males) and 7.3% (for females) of deaths in 2019 due to stroke could be avoided if the Brazilian population were physically active. CONCLUSIONS: These findings support the promotion of PA in all Brazilian states for preventing early mortality due to stroke.

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INTRODUCTION: Excess Mortality by all causes considers deaths directly related to COVID-19 and those attributed to conditions caused by the pandemic. When stratified by social dimensions, such as race/color, it allows for the evaluation of more vulnerable populations. The study estimated the excess mortality by natural causes, separating the white and black populations in 2020. METHODS: Public civil registration data on deaths observed in 2020, corrected for under registration, were used. The expected number of deaths was estimated based on the mortality rates observed in 2019, applied to the estimated population in 2020. The difference between the values expected and observed and the proportion of excess was considered the excess mortality. RESULTS: The present study found an excess of 270,321 deaths (22.2% above the expected) in 2020. Every state of Brazil reported deaths above the corresponding expected figure. The excess was higher for men (25.2%) than for women (19.0%). Blacks showed an excess of 27.8%, as compared to whites at 17.6%. In both sexes and all age groups, excess was higher in the black population, especially in the South, Southeast, and Midwest regions. São Paulo, the largest in population number, had twice as much excess death in the black population (25.1%) than in the white population (11.5%). CONCLUSIONS: The present study showed racial disparities in excess mortality during the COVID-19 pandemic in Brazil. The higher excess found for the black suggests an intrinsic relationship with the socioeconomic situation, further exposing the Brazilian reality, in which social and structural inequality is evident.

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INTRODUCTION: Aggression against women is an important cause of morbidity and death. This study compares the variation of deaths and years of life lost to death or disability (DALY) caused by interpersonal violence against women in Brazil and its states. METHODS: This descriptive study analyzed estimates from the Global Burden of Disease Study (GBD) referring to interpersonal violence against women, aged 15 to 49 years, examining the mortality and DALY rates for Brazil and its states, in 1990 and 2019. RESULTS: In this study, 3,168 deaths of women between 15 and 49 years of age, caused by interpersonal violence, were estimated in 1990, and 4,262 in 2019, which represents an increase of 33.8%. Regardless of the Maria da Penha Law and the progress in policies for curbing violence against women, one can observe a stability in the mortality and DALY rates in most of the Brazilian states. Only Bahia had a significant increase in those rates, while Federal District, Rio de Janeiro, and São Paulo showed a significant decline. CONCLUSIONS: The rates of female homicide have remained stable when comparing 1990 and 2019. Although there were improvements in terms of women's rights in the early 2000's, the chauvinist and conservative society of Brazil has not been able to protect women, and the country might not reach the targets established by the UN's 2030 Agenda.

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The purpose of this article is to quantify the amount of misclassification of the Coronavirus Disease-2019 (COVID-19) mortality occurring in hospitals and other health facilities in selected cities in Brazil, discuss potential factors contributing to this misclassification, and consider the implications for vital statistics. Hospital deaths assigned to causes classified as garbage code (GC) COVID-related cases (severe acute respiratory syndrome, pneumonia unspecified, sepsis, respiratory failure and ill-defined causes) were selected in three Brazilian state capitals. Data from medical charts and forensic reports were extracted from standard forms and analyzed by study physicians who re-assigned the underlying cause based on standardized criteria. Descriptive statistical analysis was performed and the potential impact in vital statistics in the country was also evaluated. Among 1,365 investigated deaths due to GC-COVID-related causes, COVID-19 was detected in 17.3% in the age group 0-59 years and 25.5% deaths in 60 years and over. These GCs rose substantially in 2020 in the country and were responsible for 211,611 registered deaths. Applying observed proportions by age, location and specific GC-COVID-related cause to national data, there would be an increase of 37,163 cases in the total of COVID-19 deaths, higher in the elderly. In conclusion, important undercount of deaths from COVID-19 among GC-COVID-related causes was detected in three selected capitals of Brazil. After extrapolating the study results for national GC-COVID-related deaths we infer that the burden of COVID-19 disease in Brazil in official vital statistics was probably under estimated by at least 18% in the country in 2020.

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Abstract INTRODUCTION: This study aimed to estimate the burden of stroke mortality due to low levels of physical activity (PA) in Brazil from 1990 to 2019. METHODS: Data from the 2019 Global Burden of Disease (GBD) study for Brazil and Brazilian states were used. We used the number of deaths, age-standardized mortality rates, summary exposure value, and fraction of population risk attributable to low levels of PA. To standardize all estimates, data from the population aged 25 years or older were considered. RESULTS: The risk of exposure to low PA, SEV values, for the Brazilian male population was 11.8% (95%UI: 6.7; 19.9) and for the Brazilian female population was 13.2% (95%UI: 8.6; 19.2) in 2019. For males, it was estimated that there were, respectively, 2,025 (95%UI: 271; 4,839) and 3,595 (95%UI: 658; 7,302) deaths in 1990 and 2019 due to stroke attributable to low PA. For females, there were 2,518 (95%UI: 498; 5,006) and 4,735 (95%UI: 1,286; 8,495) deaths in 1990 and 2019 due to stroke attributable to low PA, respectively. From 1990 to 2019, reductions of 44.0% for males (95%UI: −0.54; -0.05) and 52.0% for females (95%UI: −0.60; -0.30) in age-standardized mortality rates due to stroke attributed to low PA were observed. Approximately 6.1% (for males) and 7.3% (for females) of deaths in 2019 due to stroke could be avoided if the Brazilian population were physically active. CONCLUSIONS: These findings support the promotion of PA in all Brazilian states for preventing early mortality due to stroke.

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Abstract INTRODUCTION: Excess Mortality by all causes considers deaths directly related to COVID-19 and those attributed to conditions caused by the pandemic. When stratified by social dimensions, such as race/color, it allows for the evaluation of more vulnerable populations. The study estimated the excess mortality by natural causes, separating the white and black populations in 2020. METHODS Public civil registration data on deaths observed in 2020, corrected for under registration, were used. The expected number of deaths was estimated based on the mortality rates observed in 2019, applied to the estimated population in 2020. The difference between the values expected and observed and the proportion of excess was considered the excess mortality. RESULTS: The present study found an excess of 270,321 deaths (22.2% above the expected) in 2020. Every state of Brazil reported deaths above the corresponding expected figure. The excess was higher for men (25.2%) than for women (19.0%). Blacks showed an excess of 27.8%, as compared to whites at 17.6%. In both sexes and all age groups, excess was higher in the black population, especially in the South, Southeast, and Midwest regions. São Paulo, the largest in population number, had twice as much excess death in the black population (25.1%) than in the white population (11.5%). CONCLUSIONS: The present study showed racial disparities in excess mortality during the COVID-19 pandemic in Brazil. The higher excess found for the black suggests an intrinsic relationship with the socioeconomic situation, further exposing the Brazilian reality, in which social and structural inequality is evident.