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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 林先和(Hsien-Ho Lin) | |
dc.contributor.author | Tsun-Hao Ko | en |
dc.contributor.author | 柯尊皓 | zh_TW |
dc.date.accessioned | 2021-06-17T04:41:23Z | - |
dc.date.available | 2018-08-30 | |
dc.date.copyright | 2018-08-30 | |
dc.date.issued | 2018 | |
dc.date.submitted | 2018-08-03 | |
dc.identifier.citation | 1. World Health Organization, Global tuberculosis report 2017. 2017; Available from: http://www.who.int/tb/publications/global_report/en/.
2. Jeon, C.Y. and M.B. Murray, Diabetes mellitus increases the risk of active tuberculosis: a systematic review of 13 observational studies. PLoS Med, 2008. 5(7): p. e152. 3. Lee, M.R., et al., Diabetes Mellitus and Latent Tuberculosis Infection: A Systemic Review and Metaanalysis. Clin Infect Dis, 2017. 64(6): p. 719-727. 4. Al-Rifai, R.H., et al., Association between diabetes mellitus and active tuberculosis: A systematic review and meta-analysis. PLoS One, 2017. 12(11): p. e0187967. 5. Lee, P.H., et al., Tuberculosis and diabetes in low and moderate tuberculosis incidence countries. Int J Tuberc Lung Dis, 2018. 22(1): p. 7-16. 6. Federation, I.D., IDF DIABETES ATLAS eight edition. 2017. 7. Tabak, A.G., et al., Prediabetes: a high-risk state for diabetes development. Lancet, 2012. 379(9833): p. 2279-90. 8. Corris, V., N. Unwin, and J. Critchley, Quantifying the association between tuberculosis and diabetes in the US: a case-control analysis. Chronic Illn, 2012. 8(2): p. 121-34. 9. Wang, Q., et al., Prevalence of type 2 diabetes among newly detected pulmonary tuberculosis patients in China: a community based cohort study. PLoS One, 2013. 8(12): p. e82660. 10. Podell, B.K., et al., Non-diabetic hyperglycemia exacerbates disease severity in Mycobacterium tuberculosis infected guinea pigs. PLoS One, 2012. 7(10): p. e46824. 11. Kumar, N.P., et al., Diminished systemic and antigen-specific type 1, type 17, and other proinflammatory cytokines in diabetic and prediabetic individuals with latent Mycobacterium tuberculosis infection. J Infect Dis, 2014. 210(10): p. 1670-8. 12. American Diabetes, A., Diagnosis and classification of diabetes mellitus. Diabetes Care, 2010. 33 Suppl 1: p. S62-9. 13. Centers for Disease Control, M.o.H.a.W., R.O.C.(Taiwan). Taiwan Guidelines for TB Diagnosis & Treatment (5E). 2013 [cited 2018 July 2]; Available from: https://www.cdc.gov.tw/infectionreportinfo.aspx?treeid=075874dc882a5bfd&nowtreeid=c6e4d08fdc49de51&tid=ED3E98C81FC2D3C2. 14. Hernan, M.A., The hazards of hazard ratios. Epidemiology, 2010. 21(1): p. 13-5. 15. Spreeuwenberg, M.D., et al., The multiple propensity score as control for bias in the comparison of more than two treatment arms: an introduction from a case study in mental health. Med Care, 2010. 48(2): p. 166-74. 16. Cox, D.R., Regression Models and Life-Tables. Journal of the Royal Statistical Society. Series B (Methodological), 1972. 34(2): p. 187-220. 17. Huang, Y.L., et al., Association between prediabetes and risk of cardiovascular disease and all cause mortality: systematic review and meta-analysis. Bmj-British Medical Journal, 2016. 355. 18. Centers for Disease Control, M.o.H.a.W., R.O.C.(Taiwan). Communicable Diseases & Prevention: Tuberculosis. 2017 [cited 2018 July 2]; Available from: https://www.cdc.gov.tw/english/info.aspx?treeid=E79C7A9E1E9B1CDF&nowtreeid=E02C24F0DACDD729&tid=143E4CE1C8F465E5. 19. Ade, S., et al., Low prevalence of diabetes mellitus in patients with tuberculosis in Cotonou, Benin. Public Health Action, 2015. 5(2): p. 147-9. 20. Viswanathan, V., et al., Prevalence of diabetes and pre-diabetes and associated risk factors among tuberculosis patients in India. PLoS One, 2012. 7(7): p. e41367. 21. Dungan, K.M., S.S. Braithwaite, and J.C. Preiser, Stress hyperglycaemia. Lancet, 2009. 373(9677): p. 1798-1807. 22. Leung, C.C., et al., Diabetic control and risk of tuberculosis: a cohort study. Am J Epidemiol, 2008. 167(12): p. 1486-94. 23. Lee, P.H., et al., Glycemic Control and the Risk of Tuberculosis: A Cohort Study. PLoS Med, 2016. 13(8): p. e1002072. 24. Lönnroth, K., et al., A consistent log-linear relationship between tuberculosis incidence and body mass index. International Journal of Epidemiology, 2010. 39(1): p. 149-155. 25. Martens, G.W., et al., Hypercholesterolemia impairs immunity to tuberculosis. Infect Immun, 2008. 76(8): p. 3464-72. 26. Kumar, N.P., et al., Coincident pre-diabetes is associated with dysregulated cytokine responses in pulmonary tuberculosis. PLoS One, 2014. 9(11): p. e112108. 27. Cole, S.R., et al., Illustrating bias due to conditioning on a collider. Int J Epidemiol, 2010. 39(2): p. 417-20. 28. Critchley, J.A., et al., Defining a Research Agenda to Address the Converging Epidemics of Tuberculosis and Diabetes: Part 1: Epidemiology and Clinical Management. Chest, 2017. 152(1): p. 165-173. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70861 | - |
dc.description.abstract | 背景
第二型糖尿病是結核病的危險因子之一。近年來由於人口老化以及生活習慣改變,第二型糖尿病的盛行率逐年上升,此現象在開發中國家更為明顯。因此,第二型糖尿病在開發中國家的結核病防治扮演關鍵的角色。儘管糖尿病在過去研究中已經確認為結核病的危險因子,鮮少研究探討糖尿病前期對結核病防治可能產生的影響。本研究的目的為探討糖尿病前期與結核病之間是否存在相關性。 方法 研究對象來自新北市社區性健康檢查的受試者(n=124,455),空腹血糖大於等於126 mg/dl或者有降血糖藥物使用紀錄定義為糖尿病,空腹血糖大於等於100md/dl且小於126 mg/dl則定義為糖尿病前期。新發生結核病個案是利用台灣疾病管制署之結核病通報系統定義。統計分析方面,利用inverse probability weighting校正過之Kaplan-Meier 存活曲線觀察正常血糖、糖尿病前期以及糖尿病受試者結核病發生之差異。並且利用Cox 比例風險模式探討糖尿病前期與糖尿病相較於正常血糖發生結核病的風險比值。最後透過spline回歸分析觀察空腹血糖值與結核病風險的劑量反應關係。 結果 在119,352名受試者中有27,404名糖尿病前期(22.96%)及10,943名糖尿病患者(9.17%)。經過平均7.2年的追蹤,總共有322名結核病新發個案。在Cox比例風險模式中,控制其他共變項後,相較於正常血糖受試者,糖尿病前期的風險比值為0.73 (95% CI 0.545-0.965),糖尿病的風險比值為1.48 (95% CI 1.105-1.978)。在spline迴歸分析中,空腹血糖及結核病風險呈現U型曲線關係,在空腹血糖為110 mg/dl時罹患結核病風險最低。最後針對潛在干擾因子、暴露變項的定義以及排除條件進行敏感度分析都呈現一致性結果。 結論 糖尿病前期的受試者罹患結核病的風險低於正常血糖者27%,然而未來仍需要更多研究了解糖尿病前期與罹患結核病風險之間的相關性。 | zh_TW |
dc.description.abstract | Introduction
Tuberculosis remains one of the top ten causes of death globally, and more than 10 million incident cases were reported annually in the past decade. Type 2 diabetes (DM) is a notable risk factor for active tuberculosis (TB). Prediabetes is a metabolic condition that the blood sugar level is higher than normal but not yet to develop DM. Although DM has been shown as one of risk factors for TB, much less is known about the impact of prediabetes on TB control (nature history). The aim of this study is to investigate the relationship between prediabetes and risk of active TB. Methods Study population were from the community-based health screening service in northern Taiwan. Baseline fasting plasma glucose (FPG) and prescription of hypoglycemic agents were used to define DM and prediabetes (measured as impaired fasting glucose). Incident cases of TB were identified by linking to the National Tuberculosis Registry. Kaplan-Meier curves were conducted to compare TB-free survival by DM status. Cox regression analysis was used to estimate the hazards ratio for prediabetes and DM compared to normoglycemia. Spline regression was used to investigate the dose-response relationship between FPG level and risk of active TB. Results Of 119,352 participants, 27,404 (22.96%) were prediabetic, and 10,943 (9.17%) had DM. After an average 7.2 years of follow-up, 322 tuberculosis cases occurred. Compared to normoglycemic individuals, the adjusted hazards ratio (aHR) was 0.73 (95% confidence interval (CI) 0.55-0.97) for prediabetes subjects and 1.48 (95% CI 1.11-1.98) for DM patients. In the spline regression, a U-shape association was found between FPG level and the TB risk among people without diabetes, and the risk of TB was the lowest at FPG level of around 110 mg/dl. Sensitivity analyses revealed that the lower risk of TB among prediabetics could not be explained other potential confounders, misclassification of blood glucose level, and selection bias. Conclusion Prediabetic subjects have a 27% lower risk of active TB compared to normoglycemic subjects. More studies are needed to understand the relationship between prediabetes and TB. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T04:41:23Z (GMT). No. of bitstreams: 1 ntu-107-R05849007-1.pdf: 1760262 bytes, checksum: d2d2b9df862d9dd1812d7a1ff4a5a7b9 (MD5) Previous issue date: 2018 | en |
dc.description.tableofcontents | Table of contents
摘要 i Abstract iii Chapter 1 Introduction 1 Chapter 2 Methods 3 2.1 Study population 3 2.2 Measurement of prediabetes and DM 3 2.3 Measurement of active TB 3 2.4 Measurement of other covariates 4 2.5 Statistical analysis 4 2.6 Sensitivity analysis 5 2.7 A priori power analysis 6 Chapter 3 Results 7 3.1 Basic characteristics 7 3.2 Survival analysis 7 3.3 Dose response relationship 7 3.4 Sensitivity analysis 8 3.5 Subgroup analysis 9 Chapter 4 Discussion 10 4.1 Summary 10 4.2 Previous studies of prediabetes and TB 10 4.3 Biological plausibility 11 4.4 Bias analysis on the robustness of study results 12 4.5 Limitations 13 4.6 Public health implication 14 4.7 Conclusion 14 Chapter 5 Acknowledgements 15 Reference 23 Appendix 25 List of Figures Figure 1. Flow diagram 16 Figure 2. Adjusted Kaplan-Meier curves by DM status 17 Figure 3. Dose response relationship between FPG level and risk of TB without DM patients 18 Appendix Figure 1. Adjusted hazards ratios by FPG level and DM drug use 33 Appendix Figure 2. Dose response relationship between FPG level and risk of TB in total population 34 Appendix Figure 3. Hazards ratios for prediabetes after adjusting for cholesterol status and statin use 35 Appendix Figure 4. Hazards ratios for prediabetes by different exclusion days of prevalent TB 36 Appendix Figure 5. Change of DM status among participants with two FPG measurements 37 Appendix Figure 6. Adjusted Kaplan-Meier curves stratified by sex (male) 38 Appendix Figure 7. Adjusted Kaplan-Meier curves stratified by sex (female) 39 List of Tables Table 1. Basic characteristics of study participants by DM status 19 Table 2. Age-adjusted and multivariable models of association between DM status and risk of active TB 20 Table 3. Cox model of association between FPG status and risk of TB 21 Table 4. Subgroup analysis of the association between DM status and risk of active TB by sex, age, and BMI 22 Appendix Table 1. A priori power analysis 40 Appendix Table 2. BMI-adjusted Cox models by continuous, categorical and spline adjustment 41 Appendix Table 3. Age-adjusted Cox models by continuous, categorical and spline adjustment 42 Appendix Table 4. Cox models of the association between cholesterol status and risk of active TB 43 Appendix Table 5. Metformin use of two different definitions among normoglycemia and prediabetes group 45 Appendix Table 6. Cox model of association between DM status and risk of active TB after excluding normoglycemic and prediabetic subjects with metformin use 46 Appendix Table 7. Cox models of the association between DM status and risk of TB after excluding patients with major illnesses 47 Appendix Table 8. Cox models the association between DM status and risk of TB after excluding subjects living in relatively-low income counties 48 Appendix Table 9. Time-dependent Cox model: association between DM status and risk of active TB by sex, age, and BMI with repeat measurements of FPG 49 Appendix Table 10. Basic characteristics by DM status of ischemic heart disease analysis 50 Appendix Table 11. Age-adjusted and multivariable Cox model of the association between DM status and ischemic heart disease 51 Appendix Table 12. Cox models of the association between DM status and risk of TB without excluding patients with TB history 52 Appendix Table 13. Crude TB incidence rate ratios of prediabetes and DM group compared to normoglycemia group in different period of follow-up time 53 | |
dc.language.iso | en | |
dc.title | 探討糖尿病前期是否增加罹患肺結核風險:世代研究 | zh_TW |
dc.title | Association between prediabetes and tuberculosis: a cohort study | en |
dc.type | Thesis | |
dc.date.schoolyear | 106-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 李文宗(Wen-Chung Lee),張以承(I-Cheng Chang),張家勳(Chia-Hsuin Chang) | |
dc.subject.keyword | 結核病,空腹血糖異常,糖尿病前期,縱貫性世代追蹤研究,劑量反應關係, | zh_TW |
dc.subject.keyword | TB,impaired fasting glucose,intermediate hyperglycemia,longitudinal cohort design,dose response relationship, | en |
dc.relation.page | 54 | |
dc.identifier.doi | 10.6342/NTU201802184 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2018-08-06 | |
dc.contributor.author-college | 公共衛生學院 | zh_TW |
dc.contributor.author-dept | 流行病學與預防醫學研究所 | zh_TW |
顯示於系所單位: | 流行病學與預防醫學研究所 |
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