Abstract
Cadmium, a common metal, is an environmental contaminant that is hepatotoxic and immunotoxic. Cadmium exposure may affect hepatitis B immunity. The purpose of this study was to assess the association between cadmium exposure and hepatitis B serology in the US population and to develop a model to predict susceptibility of hepatitis B. The study included 50,588 individuals in the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2016. Univariate and multivariate logistic regression and dose–response curves were used to evaluate the relationship between cadmium exposure and hepatitis B serology. Through multivariate logistic regression results, a predictive model was established, and relevant indicators were used to verify the clinical value of the model and evaluate prognostic value of serum cadmium concentration in patients with hepatitis B. We selected 5989 (≥ 6 years old) participants. Univariate logistic regression analysis showed that gender (aOR = 0.7192, 95% CI = 0.6492–0.7968), age (aOR = 1.030, 95% CI = 1.026–1.033), race (aOR = 0.8974, 95% CI = 0.8591–0.9374), poverty ratio (aOR = 1.042, 95% CI = 0.9872–1.101), body mass index (BMI) (aOR = 1.052, 95% CI = 1.044–1.061), hypertension (aOR = 2.017, 95% CI = 1.763–2.306), diabetes (aOR = 2.673, 95% CI = 2.119–3.370), vigorous recreational activities (aOR = 0.6369, 95% CI = 0.5725–0.7085), moderate recreational activity (aOR = 0.7681, 95% CI = 0.6935–0.8574) and cadmium (aOR = 1.295, 95% CI = 1.168–1.436) were closely related to hepatitis B virus (HBV) susceptibility. After adjusting for these confounding factors, multivariate logistic regression analysis showed that the odds ratio of HBV susceptibility was positively correlated with the level of cadmium in serum. The effectiveness of the model was then evaluated by establishing a nomogram, and by calibration curves, ROC curves, and clinical decision curves. Our study shows that cadmium exposure is positively associated with HBV susceptibility risk in the US population, and the constructed model has clinical significance.
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The data that support the findings of this study are available from the corresponding author, Jie Wang, upon reasonable request.
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This work was supported by the National Nature Science Foundation of China (81973625).
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(I) Conception and design: Jiahao Lu, Zhangpeng Shi and Jie Wang.
(II) Administrative support: Huanlong Qin and Jie Wang.
(III) Collection and assembly of data: Dongxiao Shen, Yiting Zhou, Yuejiao Feng and Donghao Tang.
(IV) Data analysis and interpretation: Jiahao Lu, Zhangpeng Shi and Huiqing Hu.
(V) Manuscript writing: All authors.
(VI) Final approval of manuscript: All authors.
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The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). This study used previously collected deidentified data, which were deemed exempt from review by the Ethics Committee of Shanghai Putuo District Central Hospital.
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Lu, J., Shi, Z., Hu, H. et al. The relationship between cadmium exposure and hepatitis B susceptibility and the establishment of its prediction model. Environ Sci Pollut Res 30, 95801–95809 (2023). https://doi.org/10.1007/s11356-023-29267-1
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DOI: https://doi.org/10.1007/s11356-023-29267-1