Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 公共衛生學院
  3. 流行病學與預防醫學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/94842
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor簡國龍zh_TW
dc.contributor.advisorKuo-Liong Chienen
dc.contributor.author黃俊凱zh_TW
dc.contributor.authorChun-Kai Huangen
dc.date.accessioned2024-08-19T17:25:23Z-
dc.date.available2024-08-20-
dc.date.copyright2024-08-19-
dc.date.issued2024-
dc.date.submitted2024-07-23-
dc.identifier.citationShankar-Hari, Manu, Gary S Phillips, Mitchell L Levy, Christopher W Seymour, Vincent X Liu, Clifford S Deutschman, Derek C Angus, Gordon D Rubenfeld, and Mervyn Singer, Developing a new definition and assessing new clinical criteria for septic shock: for the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA, 2016. 315(8):775-787.
Neviere, Remi, Sepsis syndromes in adults: Epidemiology, definitions, clinical presentation, diagnosis, and prognosis., in UpToDate, MDDaniel J Sexton Polly E Parsons, MDRobert S Hockberger, MD, FACEP, Editor. 2021, Wolters Kluwer.
Dombrovskiy, Viktor Y, Andrew A Martin, Jagadeeshan Sunderram, and Harold L Paz, Rapid increase in hospitalization and mortality rates for severe sepsis in the United States: a trend analysis from 1993 to 2003. Critical care medicine, 2007. 35(5):1244-1250.
American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference: definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. Crit Care Med, 1992. 20(6):864-74.
Levy, M. M., M. P. Fink, J. C. Marshall, E. Abraham, D. Angus, D. Cook, J. Cohen, S. M. Opal, J. L. Vincent, and G. Ramsay, 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med, 2003. 31(4):1250-6.
Seymour, Christopher W, Vincent X Liu, Theodore J Iwashyna, Frank M Brunkhorst, Thomas D Rea, André Scherag, Gordon Rubenfeld, Jeremy M Kahn, Manu Shankar-Hari, and Mervyn Singer, Assessment of clinical criteria for sepsis: for the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). Jama, 2016. 315(8):762-774.
Singer, M., C. S. Deutschman, C. W. Seymour, M. Shankar-Hari, D. Annane, M. Bauer, R. Bellomo, G. R. Bernard, J. D. Chiche, C. M. Coopersmith, R. S. Hotchkiss, M. M. Levy, J. C. Marshall, G. S. Martin, S. M. Opal, G. D. Rubenfeld, T. van der Poll, J. L. Vincent, and D. C. Angus, The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA, 2016. 315(8):801-10.
Vincent, J. L., R. Moreno, J. Takala, S. Willatts, A. De Mendonça, H. Bruining, C. K. Reinhart, P. M. Suter, and L. G. Thijs, The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med, 1996. 22(7):707-10.
Rhee, Chanu, Raymund Dantes, Lauren Epstein, David J. Murphy, Christopher W. Seymour, Theodore J. Iwashyna, Sameer S. Kadri, Derek C. Angus, Robert L. Danner, Anthony E. Fiore, John A. Jernigan, Greg S. Martin, Edward Septimus, David K. Warren, Anita Karcz, Christina Chan, John T. Menchaca, Rui Wang, Susan Gruber, Michael Klompas, and for the CDC Prevention Epicenter Program, Incidence and Trends of Sepsis in US Hospitals Using Clinical vs Claims Data, 2009-2014. JAMA, 2017. 318(13):1241-1249.
Rhee, Chanu, Travis M. Jones, Yasir Hamad, Anupam Pande, Jack Varon, Cara O’Brien, Deverick J. Anderson, David K. Warren, Raymund B. Dantes, Lauren Epstein, Michael Klompas, for the Centers for Disease Control, and Prevention Prevention Epicenters Program, Prevalence, Underlying Causes, and Preventability of Sepsis-Associated Mortality in US Acute Care Hospitals. JAMA Network Open, 2019. 2(2):e187571-e187571.
Liu, Vincent, Gabriel J. Escobar, John D. Greene, Jay Soule, Alan Whippy, Derek C. Angus, and Theodore J. Iwashyna, Hospital Deaths in Patients With Sepsis From 2 Independent Cohorts. JAMA, 2014. 312(1):90-92.
Martin, G. S., D. M. Mannino, S. Eaton, and M. Moss, The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med, 2003. 348(16):1546-54.
Walkey, A. J., R. S. Wiener, and P. K. Lindenauer, Utilization patterns and outcomes associated with central venous catheter in septic shock: a population-based study. Crit Care Med, 2013. 41(6):1450-7.
Rudd, K. E., S. C. Johnson, K. M. Agesa, K. A. Shackelford, D. Tsoi, D. R. Kievlan, D. V. Colombara, K. S. Ikuta, N. Kissoon, S. Finfer, C. Fleischmann-Struzek, F. R. Machado, K. K. Reinhart, K. Rowan, C. W. Seymour, R. S. Watson, T. E. West, F. Marinho, S. I. Hay, R. Lozano, A. D. Lopez, D. C. Angus, C. J. L. Murray, and M. Naghavi, Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study. Lancet, 2020. 395(10219):200-211.
Kumar, G., N. Kumar, A. Taneja, T. Kaleekal, S. Tarima, E. McGinley, E. Jimenez, A. Mohan, R. A. Khan, J. Whittle, E. Jacobs, and R. Nanchal, Nationwide trends of severe sepsis in the 21st century (2000-2007). Chest, 2011. 140(5):1223-1231.
Xie, J., H. Wang, Y. Kang, L. Zhou, Z. Liu, B. Qin, X. Ma, X. Cao, D. Chen, W. Lu, C. Yao, K. Yu, X. Yao, H. Shang, H. Qiu, and Y. Yang, The Epidemiology of Sepsis in Chinese ICUs: A National Cross-Sectional Survey. Crit Care Med, 2020. 48(3):e209-e218.
Wang, Meiping, Li Jiang, Bo Zhu, Wen Li, Bin Du, Yan Kang, Li Weng, Tiehe Qin, Xiaochun Ma, Duming Zhu, Yushan Wang, Qingyuan Zhan, Meili Duan, Wenxiong Li, Bing Sun, Xiangyuan Cao, Yuhang Ai, Tong Li, Xi Zhu, Jianguo Jia, Jianxin Zhou, Yan He, Xiuming Xi, and China Critical Care Sepsis Trial workgroup The Prevalence, Risk Factors, and Outcomes of Sepsis in Critically Ill Patients in China: A Multicenter Prospective Cohort Study. Frontiers in Medicine, 2020. 7(940).
Cinel, I. and R. P. Dellinger, Advances in pathogenesis and management of sepsis. Curr Opin Infect Dis, 2007. 20(4):345-52.
Sansonetti, Philippe, Phagocytosis of bacterial pathogens: implications in the host response. Seminars in Immunology, 2001. 13(6):381-390.
Barriere, S. L. and S. F. Lowry, An overview of mortality risk prediction in sepsis. Crit Care Med, 1995. 23(2):376-93.
Pruitt, J. H., E. M. Copeland, 3rd, and L. L. Moldawer, Interleukin-1 and interleukin-1 antagonism in sepsis, systemic inflammatory response syndrome, and septic shock. Shock, 1995. 3(4):235-51.
van der Poll, T. and S. F. Lowry, Tumor necrosis factor in sepsis: mediator of multiple organ failure or essential part of host defense? Shock, 1995. 3(1):1-12.
Bone, R. C., Immunologic dissonance: a continuing evolution in our understanding of the systemic inflammatory response syndrome (SIRS) and the multiple organ dysfunction syndrome (MODS). Ann Intern Med, 1996. 125(8):680-7.
Tapper, H. and H. Herwald, Modulation of hemostatic mechanisms in bacterial infectious diseases. Blood, 2000. 96(7):2329-37.
Pinsky, M. R., J. L. Vincent, J. Deviere, M. Alegre, R. J. Kahn, and E. Dupont, Serum cytokine levels in human septic shock. Relation to multiple-system organ failure and mortality. Chest, 1993. 103(2):565-75.
Frantz, S., G. Ertl, and J. Bauersachs, Mechanisms of disease: Toll-like receptors in cardiovascular disease. Nat Clin Pract Cardiovasc Med, 2007. 4(8):444-54.
McGown, C. C., N. J. Brown, P. G. Hellewell, and Z. L. Brookes, ROCK induced inflammation of the microcirculation during endotoxemia mediated by nitric oxide synthase. Microvasc Res, 2011. 81(3):281-8.
Harrois, A., O. Huet, and J. Duranteau, Alterations of mitochondrial function in sepsis and critical illness. Curr Opin Anaesthesiol, 2009. 22(2):143-9.
Coopersmith, C. M., P. E. Stromberg, W. M. Dunne, C. G. Davis, D. M. Amiot, 2nd, T. G. Buchman, I. E. Karl, and R. S. Hotchkiss, Inhibition of intestinal epithelial apoptosis and survival in a murine model of pneumonia-induced sepsis. Jama, 2002. 287(13):1716-21.
Gregory A Schmidt, MDJess Mandel, MD, Evaluation and management of suspected sepsis and septic shock in adults, in UpToDate, MDDaniel J Sexton Polly E Parsons, MDRobert S Hockberger, MD, FACEP, Editor. 2021.
Lagunes, Leonel, Belen Encina, and Sergio Ramirez-Estrada, Current understanding in source control management in septic shock patients: a review. Annals of translational medicine, 2016. 4(17).
Evans, L., A. Rhodes, W. Alhazzani, M. Antonelli, C. M. Coopersmith, C. French, F. R. Machado, L. McIntyre, M. Ostermann, H. C. Prescott, C. Schorr, S. Simpson, W. J. Wiersinga, F. Alshamsi, D. C. Angus, Y. Arabi, L. Azevedo, R. Beale, G. Beilman, E. Belley-Cote, L. Burry, M. Cecconi, J. Centofanti, A. Coz Yataco, J. De Waele, R. P. Dellinger, K. Doi, B. Du, E. Estenssoro, R. Ferrer, C. Gomersall, C. Hodgson, M. Hylander Møller, T. Iwashyna, S. Jacob, R. Kleinpell, M. Klompas, Y. Koh, A. Kumar, A. Kwizera, S. Lobo, H. Masur, S. McGloughlin, S. Mehta, Y. Mehta, M. Mer, M. Nunnally, S. Oczkowski, T. Osborn, E. Papathanassoglou, A. Perner, M. Puskarich, J. Roberts, W. Schweickert, M. Seckel, J. Sevransky, C. L. Sprung, T. Welte, J. Zimmerman, and M. Levy, Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock 2021. Crit Care Med, 2021. 49(11):e1063-e1143.
Jones, Alan E, Alan C Heffner, James M Horton, and Michael R Marchick, Etiology of illness in patients with severe sepsis admitted to the hospital from the emergency department. Clinical Infectious Diseases, 2010. 50(6):814-820.
Corstens, F. H. and J. W. van der Meer, Nuclear medicine's role in infection and inflammation. Lancet, 1999. 354(9180):765-70.
Forgacs, P., The gallium scan and inflammatory lesions. Archives of Internal Medicine, 1982. 142(2):231.
Seshadri, N., C. K. Solanki, and K. Balan, Utility of 111In-labelled leucocyte scintigraphy in patients with fever of unknown origin in an era of changing disease spectrum and investigational techniques. Nucl Med Commun, 2008. 29(3):277-82.
CMS.gov. Positron Emission Tomography (FDG) for Infection and Inflammation. [cited 2021 Nov. 12th]; Available from: https://www.cms.gov/medicare-coverage-database/view/ncacal-decision-memo.aspx?proposed=Y&NCAId=207&NcaName=Positron+Emission+Tomography+&bc=AAAAAAAAQAAA&.
Mettler, Fred A. and Milton J. Guiberteau, 12 - Inflammation and Infection Imaging, in Essentials of Nuclear Medicine and Molecular Imaging (Seventh Edition), Fred A. Mettler and Milton J. Guiberteau, Editors. 2019, Elsevier: Philadelphia. p. 362-381.
O'Malley, Janis P. and Harvey A. Ziessman, 15-Inflammation and Infection, in Nuclear Medicine and Molecular Imaging: The Requisites, James H. Thrall, Editor. 2021, Elsevier: United States. p. 409-440.
Fernandez-Lazaro, Cesar I, Kevin A Brown, Bradley J Langford, Nick Daneman, Gary Garber, and Kevin L Schwartz, Late-career physicians prescribe longer courses of antibiotics. Clinical Infectious Diseases, 2019. 69(9):1467-1475.
Estenssoro, Elisa, Vanina S Kanoore Edul, Cecilia I Loudet, Javier Osatnik, Fernando G Ríos, Daniela N Vázquez, Mario O Pozo, Bernardo Lattanzio, Fernando Pálizas, and Francisco Klein, Predictive validity of Sepsis-3 definitions and sepsis outcomes in critically ill patients: a cohort study in 49 ICUs in Argentina. Critical care medicine, 2018. 46(8):1276-1283.
Ferrer, Ricard, Antonio Artigas, David Suarez, Eduardo Palencia, Mitchell M Levy, Angel Arenzana, Xose Luis Pérez, and Josep-Maria Sirvent, Effectiveness of treatments for severe sepsis: a prospective, multicenter, observational study. American journal of respiratory and critical care medicine, 2009. 180(9):861-866.
Kalil, Andre C, Daniel W Johnson, Steven J Lisco, and Junfeng Sun, Early goal-directed therapy for sepsis: a novel solution for discordant survival outcomes in clinical trials. Critical care medicine, 2017. 45(4):607-614.
Seymour, Christopher W, Foster Gesten, Hallie C Prescott, Marcus E Friedrich, Theodore J Iwashyna, Gary S Phillips, Stanley Lemeshow, Tiffany Osborn, Kathleen M Terry, and Mitchell M Levy, Time to treatment and mortality during mandated emergency care for sepsis. New England Journal of Medicine, 2017. 376(23):2235-2244.
Takeuchi, M., I. J. Dahabreh, T. Nihashi, M. Iwata, G. M. Varghese, and T. Terasawa, Nuclear Imaging for Classic Fever of Unknown Origin: Meta-Analysis. Journal of nuclear medicine, 2016. 57(12):1913-1919.
Dan, Longo, Fauci Anthony, Kasper Dennis, Hauser Stephen, J. Jameson, and Loscalzo Joseph, Harrisons Manual of Medicine, 18th Edition. 2012: McGraw-Hill Professional. -1.
Edwards, C. L. and R. L. Hayes, Tumor scanning with 67Ga citrate. J Nucl Med, 1969. 10(2):103-5.
Lavender, J. P., J. Lowe, J. R. Barker, J. I. Burn, and M. A. Chaudhri, Gallium 67 citrate scanning in neoplastic and inflammatory lesions. Br J Radiol, 1971. 44(521):361-6.
Higasi, T., Y. Nakayama, A. Murata, M. Sugiyama, and K. Nakamura, Clinical evaluation of 67 Ga-citrate scanning. J Nucl Med, 1972. 13(3):196-201.
Tsuzuki, S., A. Watanabe, M. Iwata, H. Toyama, and T. Terasawa, Gallium citrate-67 single-photon emission computed tomography/computed tomography for localizing the foci of classic fever and inflammation of unknown origin: A retrospective study of diagnostic yield. Asia Ocean J Nucl Med Biol, 2021. 9(2):111-122.
Jamar, F., J. Buscombe, A. Chiti, P. E. Christian, D. Delbeke, K. J. Donohoe, O. Israel, J. Martin-Comin, and A. Signore, EANM/SNMMI guideline for 18F-FDG use in inflammation and infection. J Nucl Med, 2013. 54(4):647-58.
Grady, E. E., Molecular Imaging of Infection, in Molecular Imaging and Therapy, L. T. Hall, Editor. 2023, Exon Publications
Copyright: The Authors.; The authors confirm that the materials included in this chapter do not violate copyright laws. Where relevant, appropriate permissions have been obtained from the original copyright holder(s), and all original sources have been appropriately acknowledged or referenced. Where relevant, informed consent has been obtained from patients or their caregivers according to applicable national or institutional policies.: Brisbane (AU).
O'Malley, Janis P. and Harvey A. Ziessman, 1-Basic Principles, in Nuclear Medicine and Molecular Imaging: The Requisites, James H. Thrall, Editor. 2020, Elsevier: United States.
Mettler, Fred A. and Milton J. Guiberteau, Hybrid PET/CT Neoplasm Imaging, in Essentials of Nuclear Medicine and Molecular Imaging, Fred A. Mettler and Milton J. Guiberteau, Editors. 2019, Elsevier: Philadelphia
p. 328-361.
Hao, R., L. Yuan, Y. Kan, C. Li, and J. Yang, Diagnostic performance of 18F-FDG PET/CT in patients with fever of unknown origin: a meta-analysis. Nuclear medicine communications, 2013. 34(7):682-8.
Gafter-Gvili, A., S. Raibman, A. Grossman, T. Avni, M. Paul, L. Leibovici, B. Tadmor, D. Groshar, and H. Bernstine, [18F]FDG-PET/CT for the diagnosis of patients with fever of unknown origin. Qjm, 2015. 108(4):289-98.
Hung, B. T., P. W. Wang, Y. J. Su, W. C. Huang, Y. H. Chang, S. H. Huang, and C. C. Chang, The efficacy of (18)F-FDG PET/CT and (67)Ga SPECT/CT in diagnosing fever of unknown origin. Int J Infect Dis, 2017. 62:10-17.
Ankrah, A. O., I. O. Lawal, T. M. G. Boshomane, H. C. Klein, T. Ebenhan, Rajo Dierckx, M. Vorster, Awjm Glaudemans, and M. M. Sathekge, Comparison of Fluorine(18)-fluorodeoxyglucose and Gallium(68)-citrate PET/CT in patients with tuberculosis. Nuklearmedizin, 2019. 58(5):371-378.
Chen, W. C., K. D. Tsai, C. H. Chen, M. S. Lin, C. M. Chen, C. M. Shih, and W. Chen, Role of gallium-67 scintigraphy in the evaluation of occult sepsis in the medical ICU. Internal and emergency medicine, 2012. 7(1):53-8.
Mandry, D., A. Tatopoulos, E. Chevalier-Mathias, J. Lemarie, P. E. Bollaert, V. Roch, P. Olivier, P. Y. Marie, and S. Gibot, (1)(8)F-fluorodeoxyglucose positron emission tomography combined with whole-body computed tomographic angiography in critically ill patients with suspected severe sepsis with no definite diagnosis. European journal of nuclear medicine and molecular imaging, 2014. 41(10):1924-30.
Kampe, K. K., R. Rotermund, M. Tienken, G. Thomalla, M. Regier, S. Klutmann, and S. Kluge, Diagnostic Value of Positron Emission Tomography Combined with Computed Tomography for Evaluating Critically Ill Neurological Patients. Frontiers in neurology, 2017. 8:33.
Saukkonen, J. J., D. L. Cohn, R. M. Jasmer, S. Schenker, J. A. Jereb, C. M. Nolan, C. A. Peloquin, F. M. Gordin, D. Nunes, D. B. Strader, J. Bernardo, R. Venkataramanan, and T. R. Sterling, An official ATS statement: hepatotoxicity of antituberculosis therapy. Am J Respir Crit Care Med, 2006. 174(8):935-52.
World_Health_Organization, Global tuberculosis report 2023. Geneva: World Health Organization. 2023.
Chakaya, Jeremiah, Mishal Khan, Francine Ntoumi, Eleni Aklillu, Razia Fatima, Peter Mwaba, Nathan Kapata, Sayoki Mfinanga, Seyed Ehtesham Hasnain, Patrick D. M. C. Katoto, André N. H. Bulabula, Nadia A. Sam-Agudu, Jean B. Nachega, Simon Tiberi, Timothy D. McHugh, Ibrahim Abubakar, and Alimuddin Zumla, Global Tuberculosis Report 2020 – Reflections on the Global TB burden, treatment and prevention efforts. International Journal of Infectious Diseases, 2021.
Organization, World Health and Stop TB Initiative, Treatment of tuberculosis: guidelines. 2010: World Health Organization.
Tostmann, A., M. J. Boeree, R. E. Aarnoutse, W. C. de Lange, A. J. van der Ven, and R. Dekhuijzen, Antituberculosis drug-induced hepatotoxicity: concise up-to-date review. J Gastroenterol Hepatol, 2008. 23(2):192-202.
Frieden, T. R., T. R. Sterling, S. S. Munsiff, C. J. Watt, and C. Dye, Tuberculosis. Lancet, 2003. 362(9387):887-99.
Girling, D. J., The hepatic toxicity of antituberculosis regimens containing isoniazid, rifampicin and pyrazinamide. Tubercle, 1978. 59(1):13-32.
Organization, World Health, International monitoring of adverse reactions to drugs adverse reaction terminology, in International monitoring of adverse reactions to drugs adverse reaction terminology. 1989, WHO Collaborating Centre for International Drug Monitoring.
Breen, Ronan AM, Robert F Miller, Thomas Gorsuch, Colette J Smith, Achim Schwenk, W Holmes, Jayne Ballinger, Leonie Swaden, MA Johnson, and I Cropley, Adverse events and treatment interruption in tuberculosis patients with and without HIV co-infection. Thorax, 2006. 61(9):791-794.
Ramappa, V. and G. P. Aithal, Hepatotoxicity Related to Anti-tuberculosis Drugs: Mechanisms and Management. J Clin Exp Hepatol, 2013. 3(1):37-49.
Hunt, Christine M, William R Westerkam, and Gregg M Stave, Effect of age and gender on the activity of human hepatic CYP3A. Biochemical pharmacology, 1992. 44(2):275-283.
Walter-Sack, Inge and Ulrich Klotz, Influence of diet and nutritional status on drug metabolism. Clinical pharmacokinetics, 1996. 31(1):47-64.
Jose, Jimmy, Statins and its hepatic effects: Newer data, implications, and changing recommendations. Journal of pharmacy & bioallied sciences, 2016. 8(1):23-28.
Moctezuma-Velázquez, C., J. G. Abraldes, and A. J. Montano-Loza, The Use of Statins in Patients With Chronic Liver Disease and Cirrhosis. Curr Treat Options Gastroenterol, 2018. 16(2):226-240.
Eslami, L., S. Merat, R. Malekzadeh, S. Nasseri-Moghaddam, and H. Aramin, Statins for non-alcoholic fatty liver disease and non-alcoholic steatohepatitis. Cochrane Database Syst Rev, 2013(12):Cd008623.
Vahedian-Azimi, A., S. Shojaie, M. Banach, F. Heidari, A. F. G. Cicero, M. Khoshfetrat, T. Jamialahmadi, and A. Sahebkar, Statin therapy in chronic viral hepatitis: a systematic review and meta-analysis of nine studies with 195,602 participants. Ann Med, 2021. 53(1):1227-1242.
Liberati, Alessandro, Douglas G Altman, Jennifer Tetzlaff, Cynthia Mulrow, Peter C Gøtzsche, John P A Ioannidis, Mike Clarke, P J Devereaux, Jos Kleijnen, and David Moher, The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ, 2009. 339:b2700.
Deeks JJ, Bossuyt PM, Gatsonis C, Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy. Version 1.0.0 ed. 2013: The Cochrane Collaboration.
Page, Matthew J., Larissa Shamseer, and Andrea C. Tricco, Registration of systematic reviews in PROSPERO: 30,000 records and counting. Systematic reviews, 2018. 7(1):32-32.
de Vet HCW, Eisinga A, Riphagen II, Aertgeerts B, Pewsner D, Chapter 7: Searching for Studies, in Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy Version 0.4 2008, The Cochrane Collaboration.
Whiting, P., A. W. Rutjes, J. B. Reitsma, P. M. Bossuyt, and J. Kleijnen, The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol, 2003. 3:25.
Chu, H. and S. R. Cole, Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach. Journal of clinical epidemiology, 2006. 59(12):1331-1333.
Hamza, T. H., H. C. van Houwelingen, and T. Stijnen, The binomial distribution of meta-analysis was preferred to model within-study variability. Journal of clinical epidemiology, 2008. 61(1):41-51.
Reitsma, J. B., A. S. Glas, A. W. Rutjes, R. J. Scholten, P. M. Bossuyt, and A. H. Zwinderman, Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. Journal of clinical epidemiology, 2005. 58(10):982-90.
Nyaga, V. N., M. Arbyn, and M. Aerts, Metaprop: a Stata command to perform meta-analysis of binomial data. Arch public health, 2014. 72(1):39.
Thompson, S. G., Why sources of heterogeneity in meta-analysis should be investigated. BMJ, 1994. 309(6965):1351-5.
Deeks, J. J., P. Macaskill, and L. Irwig, The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. Journal of clinical epidemiology, 2005. 58(9):882-93.
Doebler, Philipp and Heinz Holling, Meta-analysis of diagnostic accuracy with mada. Reterieved at: https://cran. r project. org/web/packages/mada/vignettes/mada. pdf, 2015.
Glas, A. S., J. G. Lijmer, M. H. Prins, G. J. Bonsel, and P. M. Bossuyt, The diagnostic odds ratio: a single indicator of test performance. Journal of clinical epidemiology, 2003. 56(11):1129-35.
DerSimonian, R. and N. Laird, Meta-analysis in clinical trials. Controlled clinical trials, 1986. 7(3):177-88.
Roberts, William Clifford, The rule of 5 and the rule of 7 in lipid-lowering by statin drugs. 1997.
Stein, E, D Sprecher, KS Allenby, RL Tosiello, E Whalen, and SR Ripa, Cerivastatin, a new potent synthetic HMG Co-A reductase inhibitor: effect of 0.2 mg daily in subjects with primary hypercholesterolemia. Journal of cardiovascular pharmacology and therapeutics, 1997. 2(1):7-16.
Clark, T. G., M. J. Bradburn, S. B. Love, and D. G. Altman, Survival Analysis Part I: Basic concepts and first analyses. British Journal of Cancer, 2003. 89(2):232-238.
Peduzzi, P., J. Concato, A. R. Feinstein, and T. R. Holford, Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates. J Clin Epidemiol, 1995. 48(12):1503-10.
Bradburn, M. J., T. G. Clark, S. B. Love, and D. G. Altman, Survival Analysis Part III: Multivariate data analysis – choosing a model and assessing its adequacy and fit. British Journal of Cancer, 2003. 89(4):605-611.
Patino, Cecilia Maria and Juliana Carvalho Ferreira, Test for trend: evaluating dose-response effects in association studies. Jornal Brasileiro de Pneumologia, 2016. 42:240-240.
Woodward, Mark, Formulae for sample size, power and minimum detectable relative risk in medical studies. Journal of the Royal Statistical Society: Series D (The Statistician), 1992. 41(2):185-196.
Chow, Shein-Chung and Jen-pei Liu, Design and analysis of clinical trials: concepts and methodologies. Vol. 507. 2008: John Wiley & Sons.
Kluge, S., S. Braune, A. Nierhaus, D. Wichmann, T. Derlin, J. Mester, and S. Klutmann, Diagnostic value of positron emission tomography combined with computed tomography for evaluating patients with septic shock of unknown origin. Journal of critical care, 2012. 27(3):316.e1-e7.
Chang, L., M. F. Cheng, S. T. Jou, C. L. Ko, J. Y. Huang, K. Y. Tzen, and R. F. Yen, Search of Unknown Fever Focus Using PET in Critically Ill Children With Complicated Underlying Diseases. Pediatric critical care medicine 2016. 17(2):e58-65.
Simons, K. S., P. Pickkers, C. P. Bleeker-Rovers, W. J. Oyen, and J. G. van der Hoeven, F-18-fluorodeoxyglucose positron emission tomography combined with CT in critically ill patients with suspected infection. Intensive care medicine, 2010. 36(3):504-11.
Zimmerman, Hyman J, Hepatotoxicity: the adverse effects of drugs and other chemicals on the liver, ed. Hyman J Zimmerman. 1999, Philadelphia, PA 19106-3780 USA: Lippincott Williams & Wilkins.
Metz, C. E., Basic principles of ROC analysis. Seminars in nuclear medicine, 1978. 8(4):283-98.
Dong, M. J., K. Zhao, Z. F. Liu, G. L. Wang, S. Y. Yang, and G. J. Zhou, A meta-analysis of the value of fluorodeoxyglucose-PET/PET-CT in the evaluation of fever of unknown origin. European journal of radiology, 2011. 80(3):834-44.
Bharucha, T., A. Rutherford, S. Skeoch, A. Alavi, M. Brown, and J. Galloway, Diagnostic yield of FDG-PET/CT in fever of unknown origin: a systematic review, meta-analysis, and Delphi exercise. Clinical radiology, 2017. 72(9):764-771.
Kouijzer, I. J. E., J. W. M. van der Meer, W. J. G. Oyen, and C. P. Bleeker-Rovers, Diagnostic yield of FDG-PET/CT in fever of unknown origin: a systematic review, meta-analysis, and Delphi exercise. Clinical radiology, 2018. 73(6):588-589.
Revest, M., S. Patrat-Delon, A. Devillers, P. Tattevin, and C. Michelet, Contribution of 18fluoro-deoxyglucose PET/CT for the diagnosis of infectious diseases. Medecine et maladies infectieuses, 2014. 44(6):251-60.
Besson, F. L., P. Chaumet-Riffaud, M. Playe, N. Noel, O. Lambotte, C. Goujard, A. Prigent, and E. Durand, Contribution of (18)F-FDG PET in the diagnostic assessment of fever of unknown origin (FUO): a stratification-based meta-analysis. European journal of nuclear medicine and molecular imaging, 2016. 43(10):1887-95.
Palestro, C. J. and C. Love, Nuclear Medicine Imaging in Fever of Unknown Origin: The New Paradigm. Current pharmaceutical design, 2018. 24(7):814-820.
Fan, He-Bin, Ai-Jun Wang, Dong-Liang Yang, Jun Xiao, Yun Ai, Lu Huang, Yong Guo, Mu-Xiu Zhou, Juan-Juan Wu, Zhi Li, Fu-Ming Yan, and Yi-Ming Wang, Use of (18)F-FDG PET/CT to locate primary malignancies in patients with hepatic cirrhosis and malignant ascites. Chin J Cancer Res, 2013. 25(5):500-504.
Toriihara, A., Y. Kitazume, H. Nishida, K. Kubota, M. Nakadate, and U. Tateishi, Comparison of FDG-PET/CT images between chronic renal failure patients on hemodialysis and controls. Am J Nucl Med Mol Imaging, 2015. 5(2):204-11.
Kode, V., H. Karsch, M. M. Osman, and R. Muzaffar, Impact of Renal Failure on F18-FDG PET/CT Scans. Front Oncol, 2017. 7:155.
Quail, Michael A. and Albert J. Sinusas, PET-CMR in heart failure - synergistic or redundant imaging? Heart failure reviews, 2017. 22(4):477-489.
Vankadari, K., B. R. Mittal, R. Kumar, H. Singh, A. Bhattacharya, and R. K. Dhiman, Detection of Hepatic Encephalopathy on 18F-FDG PET/CT Brain Images in a Patient With Decompensated Liver Cirrhosis. Clin Nucl Med, 2018. 43(12):e486-e487.
Katarey, D. and S. Verma, Drug-induced liver injury. Clin Med (Lond), 2016. 16(Suppl 6):s104-s109.
Garcia-Cortes, M., M. Robles-Diaz, C. Stephens, A. Ortega-Alonso, M. I. Lucena, and R. J. Andrade, Drug induced liver injury: an update. Arch Toxicol, 2020. 94(10):3381-3407.
Bjornsson, E. S., Hepatotoxicity of statins and other lipid-lowering agents. Liver Int, 2017. 37(2):173-178.
Leise, Michael D., John J. Poterucha, and Jayant A. Talwalkar, Drug-Induced Liver Injury. Mayo Clinic Proceedings, 2014. 89(1):95-106.
Molla, Y., M. Wubetu, and B. Dessie, Anti-Tuberculosis Drug Induced Hepatotoxicity and Associated Factors among Tuberculosis Patients at Selected Hospitals, Ethiopia. Hepat Med, 2021. 13:1-8.
Centers for Disease Control, Ministry of Health and Welfare, Taiwan Guidelines for TB Diagnosis & Treatment. 7th ed, ed. Ministry of Health and Welfare Centers for Disease Control. 2022: Centers for Disease Control, Ministry of Health and Welfare, R.O.C. (Taiwan).
Dongiovanni, Paola, Salvatore Petta, Ville Mannisto, Rosellina Margherita Mancina, Rosaria Pipitone, Vesa Karja, Marco Maggioni, Pirjo Kakela, Olov Wiklund, and Enrico Mozzi, Statin use and non-alcoholic steatohepatitis in at risk individuals. Journal of hepatology, 2015. 63(3):705-712.
Vell, M. S., R. Loomba, A. Krishnan, K. J. Wangensteen, J. Trebicka, K. T. Creasy, C. Trautwein, E. Scorletti, K. S. Seeling, L. Hehl, M. D. Rendel, I. Zandvakili, T. Li, J. Chen, M. Vujkovic, S. Alqahtani, D. J. Rader, K. M. Schneider, and C. V. Schneider, Association of Statin Use With Risk of Liver Disease, Hepatocellular Carcinoma, and Liver-Related Mortality. JAMA Netw Open, 2023. 6(6):e2320222.
Chong, L. W., Y. C. Hsu, T. F. Lee, Y. Lin, Y. T. Chiu, K. C. Yang, J. C. Wu, and Y. T. Huang, Fluvastatin attenuates hepatic steatosis-induced fibrogenesis in rats through inhibiting paracrine effect of hepatocyte on hepatic stellate cells. BMC Gastroenterol, 2015. 15:22.
Schierwagen, R., L. Maybüchen, K. Hittatiya, S. Klein, F. E. Uschner, T. T. Braga, B. S. Franklin, G. Nickenig, C. P. Strassburg, J. Plat, T. Sauerbruch, E. Latz, D. Lütjohann, S. Zimmer, and J. Trebicka, Statins improve NASH via inhibition of RhoA and Ras. Am J Physiol Gastrointest Liver Physiol, 2016. 311(4):G724-g733.
Adewole, O. O., B. A. Omotoso, M. Ogunsina, A. Aminu, A. O. Odeyemi, O. F. Awopeju, O. Ayoola, T. Adedeji, O. M. Sogaolu, T. O. Adewole, E. Jiya, V. Andero, D. Obaseki, A. O. Akintomide, and G. E. Erhabor, Atorvastatin accelerates Mycobacterium tuberculosis clearance in pulmonary TB: a randomised phase IIA trial. Int J Tuberc Lung Dis, 2023. 27(3):226-228.
Cross, G. B., I. P. Sari, C. Kityo, Q. Lu, Y. Pokharkar, R. B. Moorakonda, H. N. Thi, Q. Do, V. B. Dalay, E. Gutierrez, V. M. Balanag, R. J. Castillo, H. Mugerwa, F. Fanusi, P. Kwan, K. L. Chew, and N. I. Paton, Rosuvastatin adjunctive therapy for rifampicin-susceptible pulmonary tuberculosis: a phase 2b, randomised, open-label, multicentre trial. Lancet Infect Dis, 2023:847-855.
Parihar, S. P., R. Guler, R. Khutlang, D. M. Lang, R. Hurdayal, M. M. Mhlanga, H. Suzuki, A. D. Marais, and F. Brombacher, Statin therapy reduces the mycobacterium tuberculosis burden in human macrophages and in mice by enhancing autophagy and phagosome maturation. J Infect Dis, 2014. 209(5):754-63.
Dutta, N. K., N. Bruiners, M. D. Zimmerman, S. Tan, V. Dartois, M. L. Gennaro, and P. C. Karakousis, Adjunctive Host-Directed Therapy With Statins Improves Tuberculosis-Related Outcomes in Mice. J Infect Dis, 2020. 221(7):1079-1087.
Ma, Xiaosong, Dehong Sun, Chuansheng Li, Jie Ying, and Youde Yan, Statin use and virus-related cirrhosis: A systemic review and meta-analysis. Clinics and Research in Hepatology and Gastroenterology, 2017. 41(5):533-542.
Gu, Y., X. Yang, H. Liang, and D. Li, Comprehensive evaluation of effects and safety of statin on the progression of liver cirrhosis: a systematic review and meta-analysis. BMC Gastroenterol, 2019. 19(1):231.
Kim, W. S., S. S. Lee, C. M. Lee, H. J. Kim, C. Y. Ha, H. J. Kim, T. H. Kim, W. T. Jung, O. J. Lee, J. W. Hong, H. S. You, and H. C. Cho, Hepatitis C and not Hepatitis B virus is a risk factor for anti-tuberculosis drug induced liver injury. BMC Infect Dis, 2016. 16:50.
Wang, N. T., Y. S. Huang, M. H. Lin, B. Huang, C. L. Perng, and H. C. Lin, Chronic hepatitis B infection and risk of antituberculosis drug-induced liver injury: Systematic review and meta-analysis. J Chin Med Assoc, 2016. 79(7):368-74.
Pedraza, L., O. Laosa, L. Rodriguez-Manas, D. F. Gutierrez-Romero, J. Frias, J. A. Carnicero, and E. Ramirez, Drug Induced Liver Injury in Geriatric Patients Detected by a Two-Hospital Prospective Pharmacovigilance Program: A Comprehensive Analysis Using the Roussel Uclaf Causality Assessment Method. Front Pharmacol, 2020. 11:600255.
Björnsson, E. S., O. M. Bergmann, H. K. Björnsson, R. B. Kvaran, and S. Olafsson, Incidence, presentation, and outcomes in patients with drug-induced liver injury in the general population of Iceland. Gastroenterology, 2013. 144(7):1419-25, 1425.e1-3; quiz e19-20.
Lucena, M. I., J. Sanabria, M. García-Cortes, C. Stephens, and R. J. Andrade, Drug-induced liver injury in older people. Lancet Gastroenterol Hepatol, 2020. 5(9):862-874.
Abbara, A., S. Chitty, J. K. Roe, R. Ghani, S. M. Collin, A. Ritchie, O. M. Kon, J. Dzvova, H. Davidson, T. E. Edwards, C. Hateley, M. Routledge, J. Buckley, R. N. Davidson, and L. John, Drug-induced liver injury from antituberculous treatment: a retrospective study from a large TB centre in the UK. BMC Infect Dis, 2017. 17(1):231.
Latief, M., W. R. Dar, N. Sofi, I. A. Dar, B. Kasana, M. Hussain, F. Arshad, B. A. Shah, and P. A. Koul, Novel risk factors and early detection of anti tubercular treatment induced liver injury-Looking beyond American Thoracic Society Guidelines. Indian J Tuberc, 2017. 64(1):26-32.
Wang, S., Y. Shangguan, C. Ding, P. Li, Z. Ji, J. Shao, H. Fang, M. Yang, P. Shi, J. Wu, J. Ren, S. Yang, J. Yuan, Y. Shi, J. Li, L. Li, and K. Xu, Risk factors for acute liver failure among inpatients with anti-tuberculosis drug-induced liver injury. J Int Med Res, 2020. 48(1):300060518811512.
Baniasadi, S., P. Eftekhari, P. Tabarsi, F. Fahimi, M. R. Raoufy, M. R. Masjedi, and A. A. Velayati, Protective effect of N-acetylcysteine on antituberculosis drug-induced hepatotoxicity. Eur J Gastroenterol Hepatol, 2010. 22(10):1235-8.
Moosa, M. S., G. Maartens, H. Gunter, S. Allie, M. F. Chughlay, M. Setshedi, S. Wasserman, D. F. Stead, N. Hickman, A. Stewart, M. Sonderup, C. W. Spearman, and K. Cohen, A Randomized Controlled Trial of Intravenous N-Acetylcysteine in the Management of Anti-tuberculosis Drug-Induced Liver Injury. Clin Infect Dis, 2021. 73(9):e3377-e3383.
-
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/94842-
dc.description.abstract背景與目標:敗血症為一因感染導致而危及生命的器官功能障礙,影響數百萬人並有極高的死亡率和合併症,而及早識別感染原因給予正確處置則可以改善治療結果。核子醫學造影,包括鎵-67(Gallium-67)發炎掃描和氟-18去氧葡萄糖 (18F-fluorodeoxyglucose, FDG) 正子掃描 (positron emission tomography, PET),已廣泛用於識別不明原因發燒的疑似感染疾病。然而,人們對其在重症患者中的作用知之甚少,這些患者通常具有多個發炎病灶並且無法忍受長時間的造影過程。在本研究中,我們旨在評估 FDG PET 對重症患者合併疑似敗血症的診斷效能。
肺部另一個常見的發炎事件是藥物造成的相關發炎。藥物性肝損傷(drug-induced liver injury, DILI)是一個日益重要的問題,特別是在結核(tuberculosis, TB)感染患者的治療中。Statin類藥物可能有肝毒性的危險和statin類藥物在改善某些肝臟疾病預後方面的有益作用是一個相互矛盾的問題。在這項研究中,我們想要評估statin類藥物在抗結核藥物引起的藥物性肝損傷中可能的保護作用。
方法:(1)我們採用系統性回顧和統合分析策略來評估FDG PET和鎵-67掃描對於不明原因敗血症的重症患者是否是良好且安全的診斷影像方式。檢索了截至 2019 年 7 月 24 日的 PubMed 和 Embase,以確定評估 FDG PET 診斷性能的研究,以按照 PRISMA 指南尋找不明原因敗血症之重症患者的感染病灶。以雙變數混合效應模型用於匯集診斷表現的測量值。出版性偏差則是透過 Deeks 方法進行評估。 (2) 我們利用國立台灣大學醫學院附設醫院整合醫療資料庫 (NTUH-iMD) 的整合資料進行了一項以醫院為基礎的回溯式世代研究。結核病培養呈陽性的患者也被納入其中。Statin類藥物的使用定義為每日當量劑量≥0.5毫克pitavastatin。根據是否有肝指數或膽色素升高評估肝功能惡化。主要和次要終點是 DILI 和嚴重 DILI。Statin類藥物的預後價值透過 Kaplan-Meier 分析和 Cox 比例風險模型進行評估。
結果:(1)共納入4篇研究,共87位患者。所有四項研究均評估了 FDG PET。大多數患者具有呼吸衰竭需要機械通氣(76%),或者是休克需要血管升壓藥物(61%)。與檢查和運送過程相關的不良事件很少見(2%)。統合分析後的敏感度和特異度分別為 0.94 (百分之九十五信賴區間, 0.79–0.99) 和 0.66 (百分之九十五信賴區間, 0.45–0.83)。Summary ROC 曲線的 AUC 為 0.83。
(2)共納入1312例確診結核病並接受抗結核治療的患者。在結核治療期間,193 名患者發生 DILI,140 名患者發生嚴重 DILI。 Kaplan-Meier 分析顯示,DILI 中規則statin類藥物使用者和對照組之間有顯著差異。在多變量 Cox 比例風險分析中,statin類藥物顯示出對主要和次要終點的保護作用。此外,statin類藥物的保護作用對 DILI 表現出劑量反應關係。
結論:(1)FDG PET 是一種非常敏感的工具,具有可接受的特異性,可用於檢測重症患者的感染源。然而,目前可用的研究在評估安全問題方面有其限制。進一步的研究應該調查對這組弱勢患者進行這項測試的益處和風險。 (2) statin類藥物治療對抗結核藥物性肝損傷風險具有保護作用,且呈現正向劑量反應關係。
zh_TW
dc.description.abstractBackground and Objectives: Sepsis is a life-threatening organ dysfunction caused by infection, affecting millions of people with high mortality and complications. Early identification of the infection source and appropriate management can improve outcomes. Nuclear medicine imaging, including Gallium-67 (Ga-67) inflammation scans and 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET), has been widely used to identify suspected infectious diseases in cases of fever of unknown origin. Yet, the role of FDG PET in critically ill patients, who often have multiple inflammatory foci and cannot tolerate prolonged imaging procedures, is less understood. In this study, we aim to evaluate the diagnostic efficacy of FDG PET in critically ill patients with suspected sepsis.
Another common inflammatory event in the lungs is drug-induced inflammation. Drug-induced liver injury (DILI) is an increasingly important issue, particularly in the treatment of patients with tuberculosis (TB). The potential hepatotoxicity of statins and their beneficial effects in improving the prognosis of certain liver diseases is a conflicting issue. In this study, we aim to evaluate the potential protective effect of statins on drug-induced liver injury caused by anti-tuberculosis medications.
Methods: (1) We adopted a systematic review and meta-analysis strategy to evaluate whether FDG PET and Ga-67 scans are effective and safe diagnostic imaging methods for critically ill patients with sepsis of unknown origin. We searched PubMed and Embase up to July 24, 2019, to identify studies evaluating the diagnostic performance of FDG PET in detecting infectious foci in critically ill patients with unknown sepsis, following PRISMA guidelines. A bivariate mixed-effects model was used to pool measures of diagnostic performance. Publication bias was assessed using Deeks' method. (2) We conducted a hospital-based retrospective cohort study using integrated data from the National Taiwan University Hospital Integrated Medical Database (NTUH-iMD). Patients with positive TB cultures were included. Statin use was defined as a daily equivalent dose of ≥0.5 mg pitavastatin. Liver function deterioration was assessed based on elevated liver enzymes or bilirubin levels. The primary endpoint was the DILI and the secondary endpoint was the severe DILI. The prognostic value of statin use was evaluated using Kaplan-Meier analysis and Cox proportional hazards models.
Results: (1) Four studies with a total of 87 patients were included. All four studies evaluated FDG PET. Most patients had respiratory failure requiring mechanical ventilation (76%) or shock requiring vasopressors (61%). There were minimal adverse events related to the examination and transport process (2%). The pooled sensitivity and specificity were 0.94 (95% confidence interval of 0.79–0.99) and 0.66 (95% confidence interval of 0.45–0.83), respectively. The area under the summary ROC curve was 0.83. (2) A total of 1,312 patients diagnosed with TB and undergoing anti-tuberculosis treatment were included. Among them, 193 patients experienced the DILI during the course of TB treatment, with 140 of them developing the severe DILI. Analysis using the Kaplan-Meier method showed a significant difference in the DILI between regular statin users and the reference group. In multivariate Cox proportional hazards analysis, statin use showed a protective effect on both primary and secondary endpoints. Additionally, the protective effect of statins on DILI exhibited a dose-response relationship.
Conclusions: (1) FDG PET is a highly sensitive tool with acceptable specificity for detecting infectious sources in critically ill patients. However, the currently available studies have limitations in evaluating safety issues. Further research should investigate the benefits and risks of this test in this vulnerable patient group. (2) statin therapy has a protective effect against drug-induced liver injury from anti-tuberculosis medications, demonstrating a positive dose-response relationship.
en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-08-19T17:25:22Z
No. of bitstreams: 0
en
dc.description.provenanceMade available in DSpace on 2024-08-19T17:25:23Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontents論文口試委員會審定書 i
致 謝 ii
摘 要 iii
Abstract v
Table of Contents ix
TABLES xv
FIGURES xvi
Chapter One Introduction 1
1.1 Sepsis 1
1.1.1 Epidemiology of sepsis 2
1.1.2 Physiology of sepsis 4
1.1.3 Septic work-up 5
1.1.4 Outcomes of sepsis 8
1.2 Gallium Scintigraphy 9
1.2.1 Uptake mechanism of gallium 10
1.2.2 Imaging protocol and acquisition parameters 11
1.2.3 Normal distribution and image interpretation 12
1.2.4 Common clinical application 12
1.3 FDG PET 13
1.3.1 Uptake mechanism 13
1.3.2 Imaging protocol 14
1.3.3 Normal distribution andimage interpretation 16
1.3.4 Clinical application 17
1.3.5 Comparing gallium scan and FDG PET in detectinginflammation and infection 19
1.4 Current Achievement Regarding Inflammatory Imaging in Critically ill Patients 21
1.4.1 Gallium scan in critically ill patients 21
1.4.2 FDG PET in critically ill patients 23
1.5 Hepatotoxicity of Anti-tuberculosis Therapy 24
1.5.1 Tuberculosis 25
1.5.2 Anti-tuberculosis drug-induced hepatotoxicity 26
1.5.3 Statin in liver disease 28
1.6 Research Gap 30
1.6.1 Meta-analysis evaluating the diagnostic performance of FDG PET/CT and gallium scan in critically ill patients 30
1.6.2 The factors associated with anti-tuberculosis drug-induced hepatotoxicity - statins 30
Chapter Two Study Hypothesis 31
2.1 Detecting Source of Sepsis with FDG PET/CT in Critically Ill Patients 31
2.2 The Factors Associated with Anti-tuberculosis Drug-induced Hepatotoxicity - Statins 31
Chapter Three Materials and Methods 32
3.1 Detecting Source of Sepsis with FDG PET/CT in Critically Ill Patients 32
3.1.1 Search strategy 32
3.1.2 Study selection 33
3.1.3 Data extraction and quality assessment 33
3.1.4 Data synthesis and statistical analysis 34
3.2 The Factors Associated with Anti-tuberculosis Drug-induced Hepatotoxicity - Statins 36
3.2.1 Study design 36
3.2.2 Study population, inclusion and exclusion criteria 37
3.2.3 Confounding factors 38
3.2.4 Outcome evaluation 39
3.2.5 Statistical analysis 40
3.2.6 Sample size estimation 41
Chapter Four Results 43
4.1 Detecting Source of Sepsis with FDG PET/CT in Critically Ill Patients 43
4.1.1 Search results and study characteristics 43
4.1.2 Diagnostic performance and publication bias 44
4.1.3 Adverse events associated with the test 46
4.1.4 Subgroup analysis 48
4.1.5 Sensitivity analysis 49
4.2 The Factors Associated with Anti-tuberculosis Drug-induced Hepatotoxicity - Statins 50
4.2.1 Study population 50
4.2.2 Event development 51
4.2.3 Survival analysis 52
4.2.4 Dose-response effect of statins 54
4.2.5 Sensitivity analysis 54
Chapter Five Discussion 57
5.1 Detecting Source of Sepsis with FDG PET/CT in Critically Ill Patients 57
5.1.1 Main Findings 57
5.1.2 Compared with previous studies 58
5.1.3 Other issues in critically ill patients 60
5.1.4 Strength and limitation 61
5.2 The Factors Associated with Anti-tuberculosis Drug-induced Hepatotoxicity - Statins 62
5.2.1 Main Findings 62
5.2.2 Effect of Statins Against DILI 63
5.2.3 Other Significant Parameters 66
5.2.4 Limitations 67
5.3 Clinical Implication 69
5.4 Future Perspective 70
5.5 Conclusion 70
5.5.1 Detecting Source of Sepsis with FDG PET/CT in Critically Ill Patients 70
5.5.2 The Factors Associated with Anti-tuberculosis Drug-induced Hepatotoxicity - Statins 71
References 72
Tables 88
Table 1 Sequential Organ Failure Assessment (SOFA) score 88
Table 2 Characteristics of reviewed studies 89
Table 3 Quality assessment of included studies 90
Table 4 Diagnostic performance divided by binary, tertile and quartile of days of fever 91
Table 5 Demographic characteristics of tuberculosis patients by if statin use 92
Table 6 Rate of the DILI and the severe DILI in different treatment medication 93
Table 7 Comparison of liver function between usual statin users and control subjects 94
Table 8 Cox proportional-hazards analysis of risk factors for the DILI during anti-TB treatment in TB patients 95
Table 9 Cox proportional-hazards analysis of risk factors for the severe DILI during anti-TB treatment in TB patients 96
Table 10 The adjusted HRs of statin in different event definitions, different dosage of statin and different study populations 97
Table 11 Various definition of drug induced liver injury (DILI) event and corresponding results 98
Figures 100
Figure 1 Workup algorithm for fever of unknown origin 100
Figure 2 Normal distribution of gallium scan 101
Figure 3 Uptake mechanism of FDG 102
Figure 4 Normal distribution of FDG PET 103
Figure 5 Study scheme for the overall project 104
Figure 6 Flow chart of the systematic literature search 105
Figure 7 Forest plot of FDG PET/CT for detecting origin of sepsis in critically ill patients 106
Figure 8 Summary receiver operator curve of FDG PET/CT for detecting origin of sepsis in critically ill patients 107
Figure 9 Deeks’ funnel plot 108
Figure 10 SROC curves of subgroup analysis 109
Figure 11 Sensitivity analysis 110
Figure 12 Flow chart of Project 2 111
Figure 13 Kaplan-Meier (KM) curves of time to events 112
Figure 14 Dose response effect of statin on the DILI 113
Figure 15 Kaplan-Meier (KM) curves of time to events by different statin dose 114
Figure 16 Kaplan-Meier curves of the time to events in the usual statin users and control subjects, with different definitions of events and study populations 115
Figure 17 Forest plot of hazard ratios 116
Appendix for Related Publication 117
-
dc.language.isoen-
dc.subject正子掃描zh_TW
dc.subject結核病zh_TW
dc.subject氟-18去氧葡萄糖zh_TW
dc.subject鎵-67發炎掃描zh_TW
dc.subject敗血症zh_TW
dc.subjectstatin類藥物zh_TW
dc.subject抗結核藥物性肝損傷zh_TW
dc.subjectFluorodeoxyglucose (FDG)en
dc.subjectGallium scanen
dc.subjectSepsisen
dc.subjectAnti-tuberculosis drug-induced hepatotoxicityen
dc.subjectTuberculosisen
dc.subjectPositron emission tomography (PET)en
dc.subjectStatinen
dc.title胸腔及重症醫學的發炎相關事件zh_TW
dc.titleInflammation associated events in pulmonary and critical care medicineen
dc.typeThesis-
dc.date.schoolyear112-2-
dc.description.degree博士-
dc.contributor.oralexamcommittee王鶴健;高國晉;方啟泰;程藴菁;林先和zh_TW
dc.contributor.oralexamcommitteeHao-Chien Wang;Kuo-Chin Kao;Chi-Tai Fang;Yen-Ching Chen;Hsien-Ho Linen
dc.subject.keyword敗血症,鎵-67發炎掃描,氟-18去氧葡萄糖,正子掃描,結核病,抗結核藥物性肝損傷,statin類藥物,zh_TW
dc.subject.keywordSepsis,Gallium scan,Fluorodeoxyglucose (FDG),Positron emission tomography (PET),Tuberculosis,Anti-tuberculosis drug-induced hepatotoxicity,Statin,en
dc.relation.page119-
dc.identifier.doi10.6342/NTU202402130-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2024-07-26-
dc.contributor.author-college公共衛生學院-
dc.contributor.author-dept流行病學與預防醫學研究所-
dc.date.embargo-lift2024-07-23-
顯示於系所單位:流行病學與預防醫學研究所

文件中的檔案:
檔案 大小格式 
ntu-112-2.pdf
授權僅限NTU校內IP使用(校園外請利用VPN校外連線服務)
5.93 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved