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使用贝叶斯方法量化糖尿病谱系中1401种传染病的终生风险。

Quantifying lifetime risk for 1,401 infectious diseases across the diabetes spectrum using a Bayesian approach.

作者信息

Olsen Boomer B, Tristani-Firouzi Martin, Eilbeck Karen, Yandell Mark, Hernandez Edgar J

机构信息

Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA.

Division of Pediatric Cardiology, University of Utah School of Medicine, Salt Lake City, UT, USA.

出版信息

medRxiv. 2025 Aug 24:2025.08.20.25334110. doi: 10.1101/2025.08.20.25334110.

DOI:10.1101/2025.08.20.25334110
PMID:40894172
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12393658/
Abstract

Although many diabetes complications have been extensively studied, less is known about the burden of infectious diseases. We developed a Bayesian approach to compare infection risk across 9,476 patients with type 1 diabetes (T1D), 74,270 with type 2 diabetes (T2D), and 32,095 with prediabetes. Patients with T1D, T2D, and prediabetes had multifold increased risk for all organ system- and pathogen-based composite infection outcomes. We also quantified risk for 1,401 individual infection outcomes, finding increased risk for 880 in T1D, 1,047 in T2D, and 991 in prediabetes. Patients had increased risk for well-established diabetes-associated infections (e.g., mucormycosis) and less commonly associated infections (e.g., West Nile Virus encephalitis). Finally, we found disparities in risk across sociodemographic subgroups (i.e., age, sex, ethnicity, ancestry, and insurance status). Our comprehensive findings advance previous research by quantifying risk for wide-ranging infection outcomes across diverse patients with T1D, T2D, and prediabetes through an innovative Bayesian approach.

摘要

尽管许多糖尿病并发症已得到广泛研究,但对于传染病负担的了解却较少。我们开发了一种贝叶斯方法,以比较9476例1型糖尿病(T1D)患者、74270例2型糖尿病(T2D)患者和32095例糖尿病前期患者的感染风险。T1D、T2D和糖尿病前期患者发生所有基于器官系统和病原体的复合感染结局的风险均增加了数倍。我们还对1401种个体感染结局的风险进行了量化,发现T1D中有880种、T2D中有1047种、糖尿病前期中有991种感染结局的风险增加。患者发生公认的糖尿病相关感染(如毛霉菌病)和较少见相关感染(如西尼罗河病毒脑炎)的风险增加。最后,我们发现不同社会人口学亚组(即年龄、性别、种族、血统和保险状况)之间存在风险差异。我们的综合研究结果通过一种创新的贝叶斯方法,对不同的T1D、T2D和糖尿病前期患者广泛的感染结局风险进行了量化,从而推进了先前的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed3c/12393658/62510b8570f6/nihpp-2025.08.20.25334110v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed3c/12393658/644262f1b5bb/nihpp-2025.08.20.25334110v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed3c/12393658/8dd8973a843c/nihpp-2025.08.20.25334110v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed3c/12393658/76169b900919/nihpp-2025.08.20.25334110v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed3c/12393658/62510b8570f6/nihpp-2025.08.20.25334110v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed3c/12393658/644262f1b5bb/nihpp-2025.08.20.25334110v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed3c/12393658/8dd8973a843c/nihpp-2025.08.20.25334110v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed3c/12393658/76169b900919/nihpp-2025.08.20.25334110v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed3c/12393658/62510b8570f6/nihpp-2025.08.20.25334110v1-f0004.jpg

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本文引用的文献

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JAMA. 2024 Apr 23;331(16):1411-1413. doi: 10.1001/jama.2024.2103.
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SGLT-2 Inhibitor Use and Cause-Specific Hospitalization Rates: An Outcome-Wide Study to Identify Novel Associations of SGLT-2 Inhibitors.钠-葡萄糖协同转运蛋白 2(SGLT-2)抑制剂的使用与特定病因的住院率:一项旨在确定 SGLT-2 抑制剂新关联的全结局研究。
Clin Pharmacol Ther. 2024 Jun;115(6):1304-1315. doi: 10.1002/cpt.3194. Epub 2024 Feb 9.
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Evaluating Ethnic Variations in the Risk of Infections in People With Prediabetes and Type 2 Diabetes: A Matched Cohort Study.
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Diabetes Care. 2023 Jun 1;46(6):1209-1217. doi: 10.2337/dc22-2394.
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Intestinal parasites and diabetes: A systematic review and meta-analysis.肠道寄生虫与糖尿病:一项系统综述和荟萃分析
New Microbes New Infect. 2022 Dec 24;51:101065. doi: 10.1016/j.nmni.2022.101065. eCollection 2023 Jan.
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Sci Rep. 2022 Feb 28;12(1):3270. doi: 10.1038/s41598-022-07294-1.
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