Reinhart K, Daniels R, Kissoon N, Machado FR, Schachter RD, Finfer S. Recognizing sepsis as a global health priority—a WHO resolution. N Engl J Med. 2017;377(5):414–7.
Article
PubMed
Google Scholar
Fleischmann C, Scherag A, Adhikari NK, Hartog CS, Tsaganos T, Schlattmann P, et al. Assessment of global incidence and mortality of hospital-treated sepsis. Current estimates and limitations. Am J Respir Crit Care Med. 2016;193(3):259–72.
Article
CAS
PubMed
Google Scholar
Pierrakos C, Vincent JL. Sepsis biomarkers: a review. Crit Care. 2010;14(1):R15.
Article
PubMed
PubMed Central
Google Scholar
Reinhart K, Bauer M, Riedemann NC, Hartog CS. New approaches to sepsis: molecular diagnostics and biomarkers. Clin Microbiol Rev. 2012;25(4):609–34.
Article
CAS
PubMed
PubMed Central
Google Scholar
Vincent J-L, Teixeira L. Sepsis biomarkers. Value and limitations. Am J Respir Crit Care Med. 2014;190(10):1081–2.
Article
PubMed
Google Scholar
Fagiani E, Christofori G. Angiopoietins in angiogenesis. Cancer Lett. 2013;328(1):18–26.
Article
CAS
PubMed
Google Scholar
Erlandsson Harris H, Andersson U. Mini-review: the nuclear protein HMGB1 as a proinflammatory mediator. Eur J Immunol. 2004;34(6):1503–12.
Article
CAS
PubMed
Google Scholar
Bopp C, Bierhaus A, Hofer S, Bouchon A, Nawroth PP, Martin E, et al. Bench-to-bedside review: the inflammation-perpetuating pattern-recognition receptor RAGE as a therapeutic target in sepsis. Crit Care. 2008;12(1):201.
Article
PubMed
PubMed Central
Google Scholar
Bouchon A, Facchetti F, Weigand MA, Colonna M. TREM-1 amplifies inflammation and is a crucial mediator of septic shock. Nature. 2001;410(6832):1103–7.
Article
CAS
PubMed
Google Scholar
Gibot S. Clinical review: role of triggering receptor expressed on myeloid cells-1 during sepsis. Crit Care. 2005;9(5):485–9.
Article
PubMed
PubMed Central
Google Scholar
Huai Q, Mazar AP, Kuo A, Parry GC, Shaw DE, Callahan J, et al. Structure of human urokinase plasminogen activator in complex with its receptor. Science. 2006;311(5761):656.
Article
CAS
PubMed
Google Scholar
Vincent JL, Beumier M. Diagnostic and prognostic markers in sepsis. Expert Rev Anti Infect Ther. 2013;11(3):265–75.
Article
CAS
PubMed
Google Scholar
Sandquist M, Wong HR. Biomarkers of sepsis and their potential value in diagnosis, prognosis and treatment. Expert Rev Clin Immunol. 2014;10(10):1349–56.
Article
CAS
PubMed
PubMed Central
Google Scholar
Backes Y, Van Der Sluijs KF, Mackie DP, Tacke F, Koch A, Tenhunen JJ, et al. Usefulness of suPAR as a biological marker in patients with systemic inflammation or infection: a systematic review. Intensive Care Med. 2012;38(9):1418–28.
Article
CAS
PubMed
PubMed Central
Google Scholar
Xing K, Murthy S, Liles WC, Singh JM. Clinical utility of biomarkers of endothelial activation in sepsis—a systematic review. Crit Care (London, England). 2012;16(1):R7.
Article
Google Scholar
Su L, Liu D, Chai W, Liu D, Long Y. Role of sTREM-1 in predicting mortality of infection: a systematic review and meta-analysis. BMJ Open. 2016;6(5):e010314.
Article
PubMed
PubMed Central
Google Scholar
Ni W, Han Y, Zhao J, Cui J, Wang K, Wang R, et al. Serum soluble urokinase-type plasminogen activator receptor as a biological marker of bacterial infection in adults: a systematic review and meta-analysis. Sci Rep. 2016;6:39481.
Article
CAS
PubMed
PubMed Central
Google Scholar
Moher D, Liberati A, Tetzlaff J, Altman DG, The PG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLOS Med. 2009;6(7):e1000097.
Article
PubMed
PubMed Central
Google Scholar
Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, et al. The third international consensus definitions for sepsis and septic shock (sepsis-3). JAMA. 2016;315(8):801–10.
Article
CAS
PubMed
PubMed Central
Google Scholar
Hayden JA, van der Windt DA, Cartwright JL, Côté P, Bombardier C. Assessing bias in studies of prognostic factors. Ann Intern Med. 2013;158(4):280–6.
Article
PubMed
Google Scholar
Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions. New York: Wiley; 2011.
Google Scholar
Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol. 2014;14:135.
Article
PubMed
PubMed Central
Google Scholar
Luo D, Wan X, Liu J, Tong T. Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range. Stat Methods Med Res. 2016;27(6):1785–805.
Article
PubMed
Google Scholar
Weir CJ, Butcher I, Assi V, Lewis SC, Murray GD, Langhorne P, et al. Dealing with missing standard deviation and mean values in meta-analysis of continuous outcomes: a systematic review. BMC Med Res Methodol. 2018;18(1):25.
Article
PubMed
PubMed Central
Google Scholar
R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/. 2017.
Hadley Wickham RF, Lionel Henry, Kirill Müller. dplyr: a grammar of data manipulation. R package version 074 https://CRANR-project.org/package=dplyr. 2017.
Wickham H. ggplot2: elegant graphics for data analysis. New York: Springer; 2009.
Book
Google Scholar
Schwarzer G. meta: an R package for meta-analysis. R News. 2007;7(3):40–5.
Google Scholar
Davis JS, Yeo TW, Piera KA, Woodberry T, Celermajer DS, Stephens DP, et al. Angiopoietin-2 is increased in sepsis and inversely associated with nitric oxide-dependent microvascular reactivity. Crit Care. 2010;14(3):R89.
Article
PubMed
PubMed Central
Google Scholar
Fang Y, Li C, Shao R, Yu H, Zhang Q, Zhao L. Prognostic significance of the angiopoietin-2/angiopoietin-1 and angiopoietin-1/Tie-2 ratios for early sepsis in an emergency department. Crit Care (London, England). 2015;19:367.
Article
Google Scholar
Kranidioti H, Orfanos SE, Vaki I, Kotanidou A, Raftogiannis M, Dimopoulou I, et al. Angiopoietin-2 is increased in septic shock: evidence for the existence of a circulating factor stimulating its release from human monocytes. Immunol Lett. 2009;125(1):65–71.
Article
CAS
PubMed
Google Scholar
Lin S-M, Chung F-T, Kuo C-H, Chou P-C, Wang T-Y, Chang P-J, et al. Circulating angiopoietin-1 correlates with the clinical course of multiple organ dysfunction syndrome and mortality in patients with severe sepsis. Medicine. 2015;94(20):e878.
Article
CAS
PubMed
PubMed Central
Google Scholar
Mikacenic C, Hahn WO, Price BL, Harju-Baker S, Katz R, Kain KC, et al. Biomarkers of endothelial activation are associated with poor outcome in critical illness. PLoS ONE. 2015;10(10):e0141251.
Article
PubMed
PubMed Central
CAS
Google Scholar
Palud A, Parmentier-Decrucq E, Pastre J, De Freitas Caires N, Lassalle P, Mathieu D. Evaluation of endothelial biomarkers as predictors of organ failures in septic shock patients. Cytokine. 2015;73(2):213–8.
Article
CAS
PubMed
Google Scholar
Parikh SM, Mammoto T, Schultz A, Yuan HT, Christiani D, Karumanchi SA, et al. Excess circulating angiopoietin-2 may contribute to pulmonary vascular leak in sepsis in humans. PLoS Med. 2006;3(3):e46.
Article
PubMed
PubMed Central
CAS
Google Scholar
Ricciuto DR, dos Santos CC, Hawkes M, Toltl LJ, Conroy AL, Rajwans N, et al. Angiopoietin-1 and angiopoietin-2 as clinically informative prognostic biomarkers of morbidity and mortality in severe sepsis. Crit Care Med. 2011;39(4):702–10.
Article
CAS
PubMed
Google Scholar
Siner JM, Bhandari V, Engle KM, Elias JA, Siegel MD. Elevated serum angiopoietin 2 levels are associated with increased mortality in sepsis. Shock (Augusta, GA). 2009;31(4):348–53.
Article
CAS
Google Scholar
van der Heijden M, Pickkers P, van Nieuw Amerongen GP, van Hinsbergh VWM, Bouw MPWJM, van der Hoeven JG, et al. Circulating angiopoietin-2 levels in the course of septic shock: relation with fluid balance, pulmonary dysfunction and mortality. Intensive Care Med. 2009;35(9):1567–74.
Article
PubMed
PubMed Central
CAS
Google Scholar
Sunden-Cullberg J, Norrby-Teglund A, Rouhiainen A, Rauvala H, Herman G, Tracey KJ, et al. Persistent elevation of high mobility group box-1 protein (HMGB1) in patients with severe sepsis and septic shock. Crit Care Med. 2005;33(3):564–73.
Article
CAS
PubMed
Google Scholar
Gibot S, Massin F, Cravoisy A, Barraud D, Nace L, Levy B, et al. High-mobility group box 1 protein plasma concentrations during septic shock. Intensive Care Med. 2007;33(8):1347–53.
Article
CAS
PubMed
Google Scholar
van Zoelen MA, Laterre PF, van Veen SQ, van Till JW, Wittebole X, Bresser P, et al. Systemic and local high mobility group box 1 concentrations during severe infection. Crit Care Med. 2007;35(12):2799–804.
Article
PubMed
Google Scholar
Karlsson S, Pettila V, Tenhunen J, Laru-Sompa R, Hynninen M, Ruokonen E. HMGB1 as a predictor of organ dysfunction and outcome in patients with severe sepsis. Intensive Care Med. 2008;34(6):1046–53.
Article
CAS
PubMed
Google Scholar
Huang LF, Yao YM, Dong N, Yu Y, He LX, Sheng ZY. Association of high mobility group box-1 protein levels with sepsis and outcome of severely burned patients. Cytokine. 2011;53(1):29–34.
Article
CAS
PubMed
Google Scholar
Ueno T, Ikeda T, Ikeda K, Taniuchi H, Suda S, Yeung MY, et al. HMGB-1 as a useful prognostic biomarker in sepsis-induced organ failure in patients undergoing PMX-DHP. J Surg Res. 2011;171(1):183–90.
Article
CAS
PubMed
Google Scholar
Narvaez-Rivera RM, Rendon A, Salinas-Carmona MC, Rosas-Taraco AG. Soluble RAGE as a severity marker in community acquired pneumonia associated sepsis. BMC Infect Dis. 2012;12:15.
Article
PubMed
PubMed Central
Google Scholar
Charoensup J, Sermswan RW, Paeyao A, Promakhejohn S, Punasee S, Chularari C, et al. High HMGB1 level is associated with poor outcome of septicemic melioidosis. Int J Infect Dis. 2014;28:e111–6.
Article
CAS
Google Scholar
Ravetti CG, Moura AD, Vieira EL, Pedroso ERP, Teixeira AL. sTREM-1 predicts intensive care unit and 28-day mortality in cancer patients with severe sepsis and septic shock. J Crit Care. 2015;30(2):440.e7–13.
Article
CAS
Google Scholar
Lee K, Chang Y, Song K, Park YY, Huh JW, Hong SB, et al. Associations between single nucleotide polymorphisms of high mobility group box 1 protein and clinical outcomes in Korean sepsis patients. Yonsei Med J. 2016;57(1):111–7.
Article
CAS
PubMed
Google Scholar
Nobre V, Ataide TB, Brant LC, Oliveira CR, Rodrigues LV, Ribeiro ALP, et al. Use of reactive hyperemia—peripheral arterial tonometry and circulating biological markers to predict outcomes in sepsis. Revista Brasileira de terapia intensiva. 2016;28(4):387–96.
Article
PubMed
PubMed Central
Google Scholar
Bopp C, Hofer S, Weitz J, Bierhaus A, Nawroth PP, Martin E, et al. sRAGE is elevated in septic patients and associated with patients outcome. J Surg Res. 2008;147(1):79–83.
Article
CAS
PubMed
Google Scholar
Brodska H, Malickova K, Valenta J, Fabio A, Drabek T. Soluble receptor for advanced glycation end products predicts 28-day mortality in critically ill patients with sepsis. Scand J Clin Lab Invest. 2013;73(8):650–60.
Article
CAS
PubMed
PubMed Central
Google Scholar
Hamasaki MY, Barbeiro HV, de Souza HP, Machado MCC, da Silva FP. sRAGE in septic shock: a potential biomarker of mortality. Revista Brasileira de terapia intensiva. 2014;26(4):392–6.
Article
PubMed
PubMed Central
Google Scholar
Gibot S, Cravoisy A, Kolopp-Sarda MN, Bene MC, Faure G, Bollaert PE, et al. Time-course of sTREM (soluble triggering receptor expressed on myeloid cells)-1, procalcitonin, and C-reactive protein plasma concentrations during sepsis. Crit Care Med. 2005;33(4):792–6.
Article
CAS
PubMed
Google Scholar
Giamarellos-Bourboulis EJ, Zakynthinos S, Baziaka F, Papadomichelakis E, Virtzili S, Koutoukas P, et al. Soluble triggering receptor expressed on myeloid cells 1 as an anti-inflammatory mediator in sepsis. Intensive Care Med. 2006;32(2):237–43.
Article
CAS
PubMed
Google Scholar
Phua J, Koay ESC, Zhang D, Lee KH. How well do serum sTREM-1 measurements prognosticate in septic shock? Anaesth Intensive Care. 2008;36(5):654–8.
Article
CAS
PubMed
Google Scholar
Suárez-Santamaría M, Santolaria F, Pérez-Ramírez A, Alemán-Valls MR, Martínez-Riera A, González-Reimers E, et al. Prognostic value of inflammatory markers (notably cytokines and procalcitonin), nutritional assessment, and organ function in patients with sepsis. Eur Cytokine Netw. 2010;21(1):19–26.
PubMed
Google Scholar
Zhang J, She D, Feng D, Jia Y, Xie L. Dynamic changes of serum soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) reflect sepsis severity and can predict prognosis: a prospective study. BMC Infect Dis. 2011;11. http://onlinelibrary.wiley.com/o/cochrane/clcentral/articles/062/CN-00892062/frame.html.
Su L, Liu C, Li C, Jiang Z, Xiao K, Zhang X, et al. Dynamic changes in serum soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) and its gene polymorphisms are associated with sepsis prognosis. Inflammation. 2012;35(6):1833–43.
Article
CAS
PubMed
Google Scholar
Li Z, Wang H, Liu J, Chen B, Li G. Serum soluble triggering receptor expressed on myeloid cells-1 and procalcitonin can reflect sepsis severity and predict prognosis: a prospective cohort study. Mediat Inflamm. 2014. https://doi.org/10.1155/2014/641039.
Article
Google Scholar
Bayram H, Tünger Ö, Çivi M, Yüceyar MH, Ulman C, Dinç Horasan G, et al. Diagnostic and prognostic value of procalcitonin and sTREM-1 levels in sepsis. Turk J Med Sci. 2015;45(3):578–86.
Article
CAS
Google Scholar
Charles PE, Noel R, Massin F, Guy J, Bollaert PE, Quenot JP, et al. Significance of soluble triggering receptor expressed on myeloid cells-1 elevation in patients admitted to the intensive care unit with sepsis. BMC Infect Dis. 2016;16(1):559.
Article
CAS
PubMed
PubMed Central
Google Scholar
Brenner T, Uhle F, Fleming T, Wieland M, Schmoch T, Schmitt F, et al. Soluble TREM-1 as a diagnostic and prognostic biomarker in patients with septic shock: an observational clinical study. Biomarkers. 2017;22(1):63–9.
Article
CAS
PubMed
Google Scholar
Giamarellos-Bourboulis EJ, Norrby-Teglund A, Mylona V, Savva A, Tsangaris I, Dimopoulou I, et al. Risk assessment in sepsis: a new prognostication rule by APACHE II score and serum soluble urokinase plasminogen activator receptor. Crit Care. 2012;16(4):R149.
Article
PubMed
PubMed Central
Google Scholar
Gustafsson A, Ljunggren L, Bodelsson M, Berkestedt I. The prognostic value of suPAR compared to other inflammatory markers in patients with severe sepsis. Biomark Insights. 2012;7:39–44.
Article
CAS
PubMed
PubMed Central
Google Scholar
Hoenigl M, Raggam RB, Wagner J, Valentin T, Leitner E, Seeber K, et al. Diagnostic accuracy of soluble urokinase plasminogen activator receptor (suPAR) for prediction of bacteremia in patients with systemic inflammatory response syndrome. Clin Biochem. 2013;46(3):225–9.
Article
CAS
PubMed
Google Scholar
Suberviola B, Castellanos-Ortega A, Ruiz Ruiz A, Lopez-Hoyos M, Santibanez M. Hospital mortality prognostication in sepsis using the new biomarkers suPAR and proADM in a single determination on ICU admission. Intensive Care Med. 2013;39(11):1945–52.
Article
CAS
PubMed
Google Scholar
Donadello K, Scolletta S, Taccone FS, Covajes C, Santonocito C, Cortes DO, et al. Soluble urokinase-type plasminogen activator receptor as a prognostic biomarker in critically ill patients. J Crit Care. 2014;29(1):144–9.
Article
CAS
PubMed
Google Scholar
Khater WS, Salah-Eldeen NN, Khater MS, Saleh AN. Role of suPAR and lactic acid in diagnosing sepsis and predicting mortality in elderly patients. Eur J Microbiol Immunol. 2016;6(3):178–85.
Article
CAS
Google Scholar
Liu X, Shen Y, Li Z, Fei A, Wang H, Ge Q, et al. Prognostic significance of APACHE II score and plasma suPAR in Chinese patients with sepsis: a prospective observational study. BMC Anesthesiol. 2016;16(1):46.
Article
PubMed
PubMed Central
CAS
Google Scholar
Shan L, Shan F, Li J, Li X, Sun YB. Association of circulating suPAR with disease severity and clinical outcomes in patients with ARDS induced by intra-abdominal infections: a prospective observational study. Int J Clin Exp Med. 2016;9(7):12788–95.
CAS
Google Scholar
Tsirigotis P, Chondropoulos S, Frantzeskaki F, Stamouli M, Gkirkas K, Bartzeliotou A, et al. Thrombocytopenia in critically ill patients with severe sepsis/septic shock: prognostic value and association with a distinct serum cytokine profile. J Crit Care. 2016;32:9–15.
Article
CAS
PubMed
Google Scholar
Zeng M, Chang M, Zheng H, Li B, Chen Y, He W, et al. Clinical value of soluble urokinase-type plasminogen activator receptor in the diagnosis, prognosis, and therapeutic guidance of sepsis. Am J Emerg Med. 2016;34(3):375–80.
Article
PubMed
Google Scholar
Arora S, Singh P, Singh PM, Trikha A. procalcitonin levels in survivors and nonsurvivors of sepsis: systematic review and meta-analysis. Shock. 2015;43(3):212–21.
Article
CAS
PubMed
Google Scholar
Liu D, Su L, Han G, Yan P, Xie L. Prognostic value of procalcitonin in adult patients with sepsis: a systematic review and meta-analysis. PLoS ONE. 2015;10(6):e0129450.
Article
PubMed
PubMed Central
CAS
Google Scholar
Raith EP, Udy AA, Bailey M, McGloughlin S, MacIsaac C, Bellomo R, et al. Prognostic accuracy of the SOFA score, SIRS criteria, and qSOFA score for in-hospital mortality among adults with suspected infection admitted to the intensive care unit. JAMA. 2017;317(3):290–300.
Article
PubMed
Google Scholar
Jabaudon M, Blondonnet R, Pereira B, Cartin-Ceba R, Lichtenstern C, Mauri T, et al. Plasma sRAGE is independently associated with increased mortality in ARDS: a meta-analysis of individual patient data. Intensive Care Med. 2018;44(9):1388–99.
Article
PubMed
PubMed Central
Google Scholar
Bland M. Estimating mean and standard deviation from the sample size, three quartiles, minimum, and maximum. Int J Stat Med Res. 2015;4(1):57–64.
Article
Google Scholar
Cohen J, Vincent JL, Adhikari NK, Machado FR, Angus DC, Calandra T, et al. Sepsis: a roadmap for future research. Lancet Infect Dis. 2015;15(5):581–614.
Article
PubMed
Google Scholar