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Hospital-treated infectious diseases, genetic susceptibility and risk of type 2 diabetes: A population-based longitudinal study.
Zheng, Jiazhen; Yang, Quan; Huang, Jinghan; Chen, Hengying; Shen, Junchun; Tang, Shaojun.
Affiliation
  • Zheng J; Bioscience and Biomedical Engineering Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China.
  • Yang Q; Cardiac and Vascular Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
  • Huang J; Biomedical Genetics Section, School of Medicine, Boston University, China; Department of Chemical Pathology, Faculty of Medicine, The Chinese University of Hong Kong, China.
  • Chen H; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Shen J; Bioscience and Biomedical Engineering Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China.
  • Tang S; Bioscience and Biomedical Engineering Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China; Division of Emerging Interdisciplinary Areas, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China. Electronic
Diabetes Metab Syndr ; 18(6): 103063, 2024 Jun 15.
Article in En | MEDLINE | ID: mdl-38917709
ABSTRACT

BACKGROUND:

The longitudinal association between infectious diseases and the risk of type 2 diabetes (T2D) remains unclear.

METHODS:

Based on the UK Biobank, the prospective cohort study included a total of 396,080 participants without diabetes at baseline. We determined the types and sites of infectious diseases and incident T2D using the International Classification of Diseases 10th Revision codes (ICD-10). Time-varying Cox proportional hazard model was used to assess the association. Infection burden was defined as the number of infection episodes over time and the number of co-occurring infections. Genetic risk score (GRS) for T2D consisted of 424 single nucleotide polymorphisms.

RESULTS:

During a median of 9.04 [IQR, 8.3-9.7] years of follow-up, hospital-treated infectious diseases were associated with a greater risk of T2D (adjusted HR [aHR] 1.54 [95 % CI 1.46-1.61]), with risk difference per 10,000 individuals equal to 154.1 [95 % CI 140.7-168.2]. The heightened risk persisted after 5 years following the index infection. Bacterial infection with sepsis had the strongest risk of T2D (aHR 2.95 [95 % CI 2.53-3.44]) among different infection types. For site-specific analysis, bloodstream infections posed the greatest risk (3.01 [95 % CI 2.60-3.48]). A dose-response association was observed between infection burden and T2D risk within each GRS tertile (p-trend <0.001). High genetic risk and infection synergistically increased the T2D risk.

CONCLUSION:

Infectious diseases were associated with an increased risk of subsequent T2D. The risk showed specificity according to types, sites, severity of infection and the period since infection occurred. A potential accumulative effect of infection was revealed.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Diabetes Metab Syndr Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Diabetes Metab Syndr Year: 2024 Document type: Article Affiliation country:
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