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2000-2018 年按社会人口特征、联邦区和巴西划分的艾滋病毒/艾滋病定义性疾病和非艾滋病毒/艾滋病定义性疾病导致的死亡率趋势分析。

Analysis of trend in mortality due to HIV/AIDS-defining and non-HIV/AIDS defining illnesses according to sociodemographic characteristics, by Federative Unit and Brazil, 2000-2018.

机构信息

Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública Sergio Arouca, Rio de Janeiro, RJ, Brasil.

出版信息

Epidemiol Serv Saude. 2022 Oct 3;31(2):e2022093. doi: 10.1590/S2237-96222022000200021. eCollection 2022.

DOI:10.1590/S2237-96222022000200021
PMID:36197407
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9887950/
Abstract

OBJECTIVE

To analyze the temporal trend of mortality rate due to HIV/AIDS defining and non-HIV/AIDS defining illnesses in Brazil between 2000 and 2018.

METHODS

This was an ecological time series study, using data from the Mortality Information System, in Brazil and the Federative Units. Trend analysis was performed by means of Prais-Winsten regression model, according to overall mortality rate, sex, age group, marital status and race/skin color.

RESULTS

A total of 237,435 deaths were recorded in the period. In the country, defining illnesses showed higher rates (7.4 to 4.4 deaths/100,000 inhabitants in the period) than those observed among non-defining diseases (0.4 to 0.8 death/100,000 inhabitants in the period). It could be seen a decrease in overall mortality due to defining diseases (-6.3%; 95%CI -8.8;-3.8); while it increased due to non-defining diseases (11.0%; 95%CI 6.5;15.7).

CONCLUSION

There was a change in HIV/AIDS mortality profile over the years, with a decrease in deaths due to HIV/AIDS-defining diseases.

摘要

目的

分析 2000 年至 2018 年期间巴西因艾滋病毒/艾滋病定义和非艾滋病毒/艾滋病定义疾病导致的死亡率的时间趋势。

方法

这是一项生态时间序列研究，使用了来自巴西和联邦单位的死亡率信息系统的数据。根据总死亡率、性别、年龄组、婚姻状况和种族/肤色，采用普赖斯-温斯坦回归模型进行趋势分析。

结果

该期间共记录了 237435 例死亡。在该国，定义疾病的死亡率（7.4 至 4.4 例/每 10 万人）高于非定义疾病（0.4 至 0.8 例/每 10 万人）。可以看到，由于定义疾病导致的总死亡率下降（-6.3%；95%CI-8.8%；-3.8%）；而非定义疾病导致的死亡率上升（11.0%；95%CI6.5%；15.7%）。

结论

多年来，艾滋病毒/艾滋病的死亡模式发生了变化，艾滋病毒/艾滋病定义疾病导致的死亡人数减少。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db74/9887950/57ed3b426fe6/2237-9622-ress-31-02-e2022093-gf8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db74/9887950/cca67b868e68/2237-9622-ress-31-02-e2022093-gf5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db74/9887950/aa4fd46b9dab/2237-9622-ress-31-02-e2022093-gf6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db74/9887950/d6de23de1bf1/2237-9622-ress-31-02-e2022093-gf7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db74/9887950/57ed3b426fe6/2237-9622-ress-31-02-e2022093-gf8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db74/9887950/cca67b868e68/2237-9622-ress-31-02-e2022093-gf5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db74/9887950/aa4fd46b9dab/2237-9622-ress-31-02-e2022093-gf6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db74/9887950/d6de23de1bf1/2237-9622-ress-31-02-e2022093-gf7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db74/9887950/57ed3b426fe6/2237-9622-ress-31-02-e2022093-gf8.jpg

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