Use of the Coding Causes of Death in HIV in the classification of deaths in Northeastern Brazil

Abstract

OBJECTIVE Describe the coding process of death causes for people living with HIV/AIDS, and classify deaths as related or unrelated to immunodeficiency by applying the Coding Causes of Death in HIV (CoDe) system.METHODS A cross-sectional study that codifies and classifies the causes of deaths occurring in a cohort of 2,372 people living with HIV/AIDS, monitored between 2007 and 2012, in two specialized HIV care services in Pernambuco. The causes of death already codified according to the International Classification of Diseases were recoded and classified as deaths related and unrelated to immunodeficiency by the CoDe system. We calculated the frequencies of the CoDe codes for the causes of death in each classification category.RESULTS There were 315 (13%) deaths during the study period; 93 (30%) were caused by an AIDS-defining illness on the Centers for Disease Control and Prevention list. A total of 232 deaths (74%) were related to immunodeficiency after application of the CoDe. Infections were the most common cause, both related (76%) and unrelated (47%) to immunodeficiency, followed by malignancies (5%) in the first group and external causes (16%), malignancies (12 %) and cardiovascular diseases (11%) in the second group. Tuberculosis comprised 70% of the immunodeficiency-defining infections.CONCLUSIONS Opportunistic infections and aging diseases were the most frequent causes of death, adding multiple disease burdens on health services. The CoDe system increases the probability of classifying deaths more accurately in people living with HIV/AIDS.

Mortality in hospitalized HIV-infected patients in a referral center in Bahia, Brazil

“… 5 The overall in-hospital mortality rate in PLWHA in a referral hospital in Salvador, Brazil, was 13.44%, similar to other studies. 6 , 7 However, it was higher when compared with rates of 11.6% in a cohort study in Rio de Janeiro, 8 and in other centers located in richer countries, 9 , 10 but lower than the rate of 33.5 % in another referral hospital in Salvador. 11 The rates of other international studies in poorer countries were higher than the rates in our study, 12 , 13 which reflects a variation between the samples and the regions studied.…”

Análise dos índices de mortalidade por HIV/AIDS no estado de Pernambuco, 2010 A 2019/ Analysis of HIV / AIDS mortality indices in the state of Pernambuco, 2010 to 2019

“…A (figura 1) apresenta a quantidade de óbitos por HIV/Aids no estado de Pernambuco do ano de 2010 a 2019, em todo o Pernambuco durante a análise do estudo foi registrado um total de 5.695 óbitos com Coeficiente de Mortalidade (CM) de 6,16% para 100.000/habitantes, o ano de 2016 marcou o maior índice de mortalidade alcançando 633 mortes com CM de 6,72% para 100.000/habitantes. O vírus do HIV/Aids ataca as células de defesa do organismo chamadas de linfócitos TCD4, com a destruição das mesmas se caracteriza a Síndrome da Imunodeficiência Adquirida (AIDS), portanto, o infectado fica propício a doenças oportunistas como é o caso da Tuberculose (TB), esse número de mortes pode esta ligada ao diagnóstico tardio, a não adesão ao tratamento com o TARV, preconceito perante a patologia vivida pelos soropositivos e os possíveis efeitos colaterais dos antirretrovirais podem prejudicar a constância do tratamento (ALVES et al, 2017;HENGSHENG et al, 2020;RITTO E GIMENEZ, 2020).…”

Survival and mortality profile among people living with HIV in a cohort in the Northeastern region of Brazil

“…The detected deaths were then coded using the CoDe protocol 10 , which standardizes the classification of causes of death in PLHIV using death certificate data and clinical markers. To appropriately use the CoDe in the study, the methodology outlined in Alves et al 9 was followed, in which the CoDe codes and the respective instructions were translated by specialists into Brazilian Portuguese. The ICD-10 death classification codes were inserted into the corresponding categories of the CoDe, and adapted to form 11 groups: Group 1 -AIDS, which included the categories AIDS-ongoing-active disease and AIDS-Infection; Group 2 -Cancer AIDS, Group 3 -Cancer; Group 4 -External causes (accident/violent death); Group 5 -Cardiovascular diseases; Group 6 -Nervous system diseases; Group 7 -Genitourinary disorders; Group 8 -Respiratory system diseases; Group 9 -Liver diseases; Group 10 -Digestive system diseases; and Group 11 -Other causes.…”

“…A study conducted by Alves at al. 9 used the Coding Causes of Death in HIV (CoDe) to classify the death profile in Northeastern Brazil from 2007 to 2012, observed that although most deaths were related to immunodeficiency (73.6%), those unrelated to AIDS, such as cardiovascular diseases, neoplasms, and external causes, appeared among the causes of death. Thus, it became relevant to monitor this population for a longer period to assess the profile of causes of death over time.…”