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印度尼西亚东爪哇省结核病与新冠肺炎之间的交叉风险:2020 - 2022年结核病与新冠肺炎监测登记分析

Cross-Risk Between Tuberculosis and COVID-19 in East Java Province, Indonesia: An Analysis of Tuberculosis and COVID-19 Surveillance Registry Period 2020-2022.

作者信息

Palupi Satiti, Chongsuvivatwong Virasakdi, Surya Asik, Suyanto Suyanto, Kumwichar Ponlagrit

机构信息

Department of Epidemiology, Prince of Songkla University, Hat Yai, THA.

Department of Communicable Disease, East Java Provincial Health Office, Surabaya, IDN.

出版信息

Cureus. 2023 Sep 7;15(9):e44857. doi: 10.7759/cureus.44857. eCollection 2023 Sep.

DOI:10.7759/cureus.44857
PMID:37692189
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10485793/
Abstract

INTRODUCTION

Tuberculosis (TB) and COVID-19 are highly transmissible diseases and pose a serious risk to public health. Unfortunately, information on cross-risk between the two diseases was still sparse. Our main objective was to estimate the excess risk among TB patients in getting COVID-19 infection and vice versa.

METHODS

The study design was a series of analyses of existing data from TB and COVID-19 registries in East Java Province, Indonesia. The study period was from January 2020 to June 2022. Case-by-case data for this study were obtained from the registration systems for TB and COVID-19 in separate databases. In comparing risk across different groups, adjusting for differences in risk factors that influence the outcome was essential. We overcame this problem by employing a standardized morbidity ratio.

RESULTS

Among 92,424 newly diagnosed TB patients, 1,326 were subsequently infected with COVID-19 during the study period, compared with 1,679 expected. The standardized morbidity ratio (95% confidence interval) was 72.61% (60.19%, 85.03%). Among 635,946 newly diagnosed COVID-19-infected patients, 987 subsequently got active TB during the study period against 1,679 expected. The standardized morbidity ratio (95% confidence interval) was 55.33% (49.24%, 61.42%).

CONCLUSION

There was no evidence of excess risk in either direction, the excess risk among TB patients in getting COVID-19 infection and vice versa.

摘要

引言

结核病(TB)和2019冠状病毒病(COVID-19)是高传染性疾病,对公众健康构成严重风险。不幸的是,关于这两种疾病交叉风险的信息仍然稀少。我们的主要目标是估计结核病患者感染COVID-19的额外风险,反之亦然。

方法

本研究设计是对印度尼西亚东爪哇省结核病和COVID-19登记处的现有数据进行一系列分析。研究期间为2020年1月至2022年6月。本研究的逐案数据来自单独数据库中结核病和COVID-19的登记系统。在比较不同组的风险时,调整影响结果的风险因素差异至关重要。我们通过采用标准化发病率来克服这个问题。

结果

在92424例新诊断的结核病患者中,有1326例在研究期间随后感染了COVID-19,而预期为1679例。标准化发病率(95%置信区间)为72.61%(60.19%,85.03%)。在635946例新诊断的COVID-19感染患者中,有987例在研究期间随后患上活动性结核病,而预期为1679例。标准化发病率(95%置信区间)为55.33%(49.24%,61.42%)。

结论

没有证据表明存在任何一个方向的额外风险,即结核病患者感染COVID-19的额外风险以及反之亦然。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a55/10485793/f2db0425508d/cureus-0015-00000044857-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a55/10485793/dd413c9bd4ae/cureus-0015-00000044857-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a55/10485793/d09f748b8afe/cureus-0015-00000044857-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a55/10485793/9927a4af21e1/cureus-0015-00000044857-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a55/10485793/f2db0425508d/cureus-0015-00000044857-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a55/10485793/dd413c9bd4ae/cureus-0015-00000044857-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a55/10485793/d09f748b8afe/cureus-0015-00000044857-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a55/10485793/9927a4af21e1/cureus-0015-00000044857-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a55/10485793/f2db0425508d/cureus-0015-00000044857-i04.jpg

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本文引用的文献

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Results Phys. 2022 Sep;40:105855. doi: 10.1016/j.rinp.2022.105855. Epub 2022 Jul 27.
2
Correlation between Population Density and COVID-19 Cases during the Third Wave in Malaysia: Effect of the Delta Variant.马来西亚第三波疫情期间人口密度与 COVID-19 病例的相关性:Delta 变异株的影响。
Int J Environ Res Public Health. 2022 Jun 17;19(12):7439. doi: 10.3390/ijerph19127439.
3
Immunopathogenic overlap between COVID-19 and tuberculosis identified from transcriptomic meta-analysis and human macrophage infection.
从转录组元分析和人类巨噬细胞感染中确定的COVID-19与结核病之间的免疫致病重叠。
iScience. 2022 May 25;25(6):104464. doi: 10.1016/j.isci.2022.104464. eCollection 2022 Jun 17.
4
Sub-district level correlation between tuberculosis notifications and socio-demographic factors in Dhaka City corporation, Bangladesh.孟加拉国达卡市公司的肺结核报告与社会人口因素之间的分区级别相关性。
Epidemiol Infect. 2021 Sep 2;149:e209. doi: 10.1017/S0950268821001679.
5
TB and COVID-19: An Exploration of the Characteristics and Resulting Complications of Co-infection.结核病和 COVID-19:合并感染的特征和相关并发症探讨。
Front Biosci (Schol Ed). 2022 Mar 1;14(1):6. doi: 10.31083/j.fbs1401006.
6
Reactivation of Pulmonary Tuberculosis in a Patient With COVID-19: Case Report and Review of Literature.一名新冠肺炎患者的肺结核复发:病例报告及文献综述
Infect Dis Clin Pract (Baltim Md). 2021 Nov;29(6):e468-e470. doi: 10.1097/IPC.0000000000001032. Epub 2021 May 15.
7
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8
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9
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