Prognostic models in acute pulmonary embolism: A systematic review and meta-analysis

BMJ Open

Volumn 6, Issue 4, 2016, Pages

  Elias, Antoine ^a,b   Mallett, Susan ^b   Daoud Elias, Marie ^a   Poggi, Jean Noël ^a   Clarke, Mike ^c  

^a Toulon La Seyne Hospital   (France)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO TERMINAL PRO BRAIN NATRIURETIC PEPTIDE; BIOLOGICAL MARKER; BRAIN NATRIURETIC PEPTIDE; FATTY ACID BINDING PROTEIN; TENECTEPLASE; TROPONIN I; TROPONIN T;

ACCURACY; ADVERSE OUTCOME; AREA UNDER THE CURVE; ARTICLE; CAUSE OF DEATH; CHARLSON COMORBIDITY INDEX; DEEP VEIN THROMBOSIS; FIBRINOLYTIC THERAPY; FOLLOW UP; HIGH RISK POPULATION; HUMAN; LOW RISK POPULATION; LUNG EMBOLISM; MORTALITY RATE; MULTICENTER STUDY (TOPIC); OUTCOME ASSESSMENT; PATIENT IDENTIFICATION; PROGNOSIS; PUBLISHING; PULMONARY EMBOLISM SEVERITY INDEX; RANDOMIZED CONTROLLED TRIAL (TOPIC); RECEIVER OPERATING CHARACTERISTIC; RESPIRATORY TRACT DISEASE ASSESSMENT; REVISED GENEVA SCORE; SCORING SYSTEM; SYSTEMATIC REVIEW; TRANSTHORACIC ECHOCARDIOGRAPHY; ULTRASOUND; ACUTE DISEASE; HEALTH STATUS INDICATOR; META ANALYSIS; MORTALITY; PREDICTIVE VALUE; PROCEDURES; PULMONARY EMBOLISM; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX; THEORETICAL MODEL; VENOUS THROMBOEMBOLISM;

ACUTE DISEASE; HEALTH STATUS INDICATORS; HUMANS; MODELS, THEORETICAL; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PULMONARY EMBOLISM; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX; VENOUS THROMBOEMBOLISM;

EID: 84970005270     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2015-010324     Document Type: Article

References (150)

1. Torbicki A, Perrier A, Konstantinides S, et al. Guidelines on the diagnosis and management of acute pulmonary embolism: the Task Force for the Diagnosis and Management of Acute Pulmonary Embolism of the European Society of Cardiology (ESC). Eur Heart J 2008;29:2276-315.
2. Jaff MR, McMurtry MS, Archer SL, et al. Management of massive and submassive pulmonary embolism, iliofemoral deep vein thrombosis, and chronic thromboembolic pulmonary hypertension: a scientific statement from the American Heart Association. Circulation 2011;123:1788-830.
3. Konstantinides SV, Torbicki A, Agnelli G, et al. 2014 ESC guidelines on the diagnosis and management of acute pulmonary embolism. Eur Heart J 2014;35:3033-69, 69a-69k.
4. Kearon C, Akl EA, Ornelas J, et al. Antithrombotic therapy for VTE disease: CHEST guideline and expert panel report. Chest 2016;149:315-52.
5. Becattini C, Vedovati MC, Agnelli G. Prognostic value of troponins in acute pulmonary embolism: a meta-analysis. Circulation 2007;116:427-33.
6. Klok FA, Mos IC, Huisman MV. Brain-type natriuretic peptide levels in the prediction of adverse outcome in patients with pulmonary embolism: a systematic review and meta-analysis. Am J Respir Crit Care Med 2008;178:425-30.
7. Sanchez O, Trinquart L, Colombet I, et al. Prognostic value of right ventricular dysfunction in patients with haemodynamically stable pulmonary embolism: a systematic review. Eur Heart J 2008;29:1569-77.
8. Jimenez D, Uresandi F, Otero R, et al. Troponin-based risk stratification of patients with acute nonmassive pulmonary embolism: systematic review and metaanalysis. Chest 2009;136:974-82.
9. Lega JC, Lacasse Y, Lakhal L, et al. Natriuretic peptides and troponins in pulmonary embolism: a meta-analysis. Thorax 2009;64:869-75.
10. Altman DG. Prognostic models: a methodological framework and review of models for breast cancer. Cancer Invest 2009;27:235-43.
11. Mallett S, Royston P, Dutton S, et al. Reporting methods in studies developing prognostic models in cancer: a review. BMC Med 2010;8:20.
12. Mallett S, Royston P, Waters R, et al. Reporting performance of prognostic models in cancer: a review. BMC Med 2010;8:21.
13. Williams C, Brunskill S, Altman D, et al. Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy. Health Technol Assess 2006;10:iii-iv, ix-xi, 1-204.
14. Altman DG. Systematic reviews of evaluations of prognostic variables. BMJ 2001;323:224-8.
15. Egger M, Juni P, Bartlett C, et al. How important are comprehensive literature searches and the assessment of trial quality in systematic reviews? Empirical study. Health Technol Assess 2003;7:1-76.
16. Hayden JA, Cote P, Bombardier C. Evaluation of the quality of prognosis studies in systematic reviews. Ann Intern Med 2006;144:427-37.
17. Higgins JPT, Green SE. Cochrane handbook for systematic reviews of interventions version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. http://www.cochrane-handbook.org
18. Schulz KF, Grimes DA, eds. Handbook of essential concepts in clinical research. Elsevier Ltd, 2006.
19. Juni P, Witschi A, Bloch R, et al. The hazards of scoring the quality of clinical trials for meta-analysis. JAMA 1999;282:1054-60.
20. Harbord RM, Deeks JJ, Egger M, et al. A unification of models for meta-analysis of diagnostic accuracy studies. Biostatistics 2007;8:239-51.
21. Harbord RM, Whiting P. Metandi: meta-analysis of diagnostic accuracy using hierarchical logistic regression. Stata J 2009;2:211-29.
22. Harbord R. Metandi: Stata module to perform meta-analysis of diagnostic accuracy. Bristol, UK: MRC Health Services Research Collaboration, University of Bristol, 2006.
23. Rabe-Hesketh S, Skrondal A, Pickles A. GLLAMM Manual. U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 160, 2004. http://www.bepress.com/ucbbiostat/paper160
24. Moher D, Liberati A, Tetzlaff J, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 2009;6:e1000097.
25. Al Otair HA, Al-Boukai AA, Ibrahim GF, et al. Outcome of pulmonary embolism and clinico-radiological predictors of mortality: experience from a university hospital in Saudi Arabia. Ann Thorac Med 2014;9:18-22.
26. Almahameed A, Carman TL. Outpatient management of stable acute pulmonary embolism: proposed accelerated pathway for risk stratification. Am J Med 2007;120(Suppl 2):S18-25.
27. Bircan A, Karadeniz N, Ozden A, et al. A simple clinical model composed of ECG, shock index, and arterial blood gas analysis for predicting severe pulmonary embolism. Clin Appl Thromb Hemost 2011;17:188-96.
28. Bledsoe J, Hamilton D, Bess E, et al. Treatment of low-risk pulmonary embolism patients in a chest pain unit. Crit Pathw Cardiol 2010;9:212-15.
29. Budaj-Fidecka A, Kurzyna M, Fijakowska A, et al. In-hospital major bleeding predicts mortality in patients with pulmonary embolism: an analysis of ZATPOL Registry data. Int J Cardiol 2013;168:3543-9.
30. Cameron A, Ogilvie C, Teckchandani S, et al. Outpatient imaging for pulmonary embolism may only be suitable for a minority. Scott Med J 2012;57:14-17.
31. Gallotta G, Palmieri V, Piedimonte V, et al. Increased troponin I predicts in-hospital occurrence of hemodynamic instability in patients with sub-massive or non-massive pulmonary embolism independent to clinical, echocardiographic and laboratory information. Int J Cardiol 2008;124:351-7.
32. Gul EE, Can I, Guler I, et al. Association of pulmonary artery obstruction index with elevated heart-type fatty acid binding protein and short-term mortality in patients with pulmonary embolism at intermediate risk. Diagn Interv Radiol 2012;18:531-6.
33. Lankeit M, Dellas C, Benz V, et al. The predictive value of heart-type fatty acid-binding protein is independent from symptom duration in normotensive patients with pulmonary embolism. Thromb Res 2013;132:543-7.
34. McCabe A, Hassan T, Doyle M, et al. Identification of patients with low-risk pulmonary embolism suitable for outpatient treatment using the pulmonary embolism severity index (PESI). Ir J Med Sci 2013;182:291-5.
35. Paiva L, Providencia R, Faustino A, et al. Manchester triage in acute pulmonary embolism: can it unmask the grand impersonator? Emerg Med J 2012;29:e6.
36. Palla A, Ribas C, Rossi G, et al. The clinical course of pulmonary embolism patients anticoagulated for 1 year: results of a prospective, observational, cohort study. J Thromb Haemost 2010;8:68-74.
37. Rydman R, Söderberg M, Larsen F, et al. d-Dimer and simplified pulmonary embolism severity index in relation to right ventricular function. Am J Emerg Med 2013;31:482-6.
38. Spirk D, Willenberg T, Aujesky D, et al. Use of biomarkers or echocardiography in pulmonary embolism: the Swiss Venous Thromboembolism Registry. QJM 2012;105:1163-9.
39. Taylor RA, Davis J, Liu R, et al. Point-of-care focused cardiac ultrasound for prediction of pulmonary embolism adverse outcomes. J Emerg Med 2013;45:392-9.
40. Tsai J, Abe K, Boulet SL, et al. Predictive accuracy of 29-comorbidity index for in-hospital deaths in US adult hospitalizations with a diagnosis of venous thromboembolism. PLoS ONE 2013;8:e70061.
41. George E, Kumamaru KK, Ghosh N, et al. Computed tomography and echocardiography in patients with acute pulmonary embolism: part 2: prognostic value. J Thorac Imaging 2014;29: W7-12.
42. Goldhaber SZ, Visani L, De Rosa M. Acute pulmonary embolism: clinical outcomes in the International Cooperative Pulmonary Embolism Registry (ICOPER). Lancet 1999;353:1386-9.
43. Kanbay A, Kokturk N, Kaya MG, et al. Electrocardiography and Wells scoring in predicting the anatomic severity of pulmonary embolism. Respir Med 2007;101:1171-6.
44. Kasper W, Konstantinides S, Geibel A, et al. Management strategies and determinants of outcome in acute major pulmonary embolism: results of a multicenter registry. J Am Coll Cardiol 1997;30:1165-71.
45. Konstantinides S, Geibel A, Olschewski M, et al. Association between thrombolytic treatment and the prognosis of hemodynamically stable patients with major pulmonary embolism: results of a multicenter registry. Circulation 1997;96:882-8.
46. Kucher N, Wallmann D, Carone A, et al. Incremental prognostic value of troponin I and echocardiography in patients with acute pulmonary embolism. Eur Heart J 2003;24:1651-6.
47. Rodríguez-Cerrillo M, Alvarez-Arcaya A, Fernández-Díaz E, et al. A prospective study of the management of non-massive pulmonary embolism in the home. Eur J Intern Med 2009;20: 598-600.
48. Sen HS, Abakay O, Tanrikulu AC, et al. Is a complete blood cell count useful in determining the prognosis of pulmonary embolism? Wien Klin Wochenschr 2014;126:347-54.
49. Hariharan P, Takayesu JK, Kabrhel C. Erratum to: Association between the Pulmonary Embolism Severity Index (PESI) and short-term clinical deterioration (Thromb Haemost 2011; 105: 706- 711).
50. Thromb Haemost 2012;107:599-9.
51. Aujesky D, Roy PM, Le Manach CP, et al. Validation of a model to predict adverse outcomes in patients with pulmonary embolism. Eur Heart J 2006;27:476-81.
52. Zondag W, Hiddinga BI, Crobach MJT, et al. Hestia criteria can discriminate high- from low-risk patients with pulmonary embolism. Eur Respir J 2013;41:588-92.
53. Zondag W, Mos ICM, Creemers-Schild D, et al. Outpatient treatment in patients with acute pulmonary embolism: the Hestia Study. J Thromb Haemost 2011;9:1500-7.
54. Barra S, Paiva L, Providencia R, et al. LR-PED rule: low risk pulmonary embolism decision rule-a new decision score for low risk pulmonary embolism. Thromb Res 2012;130:327-33.
55. Moores L, Zamarro C, Gómez V, et al. Changes in PESI scores predict mortality in intermediate-risk patients with acute pulmonary embolism. Eur Respir J 2013;41:354-9.
56. Otero R, Trujillo-Santos J, Cayuela A, et al. Haemodynamically unstable pulmonary embolism in the RIETE Registry: systolic blood pressure or shock index? Eur Respir J 2007;30:1111-16.
57. Stuck AK, Stone RA, Pugh N, et al. Comparison of the Pulmonary Embolism Severity Index to a simplified version: classification and clinical outcomes. Thromb Res 2014;133:515-16.
58. Dunn AS. ACP Journal Club. The simplified Pulmonary Embolism Severity Index and high-sensitivity troponin T predicted prognosis in PE. Ann Intern Med 2012;156:JC4-12.
59. Gould MK. A clinical prediction model was sensitive but not specific for predicting mortality in pulmonary embolism. ACP J Club 2006;145:53.
60. O'Flaherty M, Gandara E. A simple prediction rule identified patients with pulmonary embolism at low risk of short term death. Evid Based Med 2006;11:121.
61. Golpe R, Perez-de-Llano LA, Castro-Anon O. Prognostic value of the Charlson comorbidity index in pulmonary embolism. Respiration 2013;85:438.
62. Ahmad N, Srinivasan K, Moudgil H. Risk stratification in pulmonary embolism: an algorithmic tool approach. Thorax 2011;66:1098-9.
63. Chow V, Ng AC, Chung T, et al. Right atrial to left atrial area ratio on early echocardiography predicts long-term survival after acute pulmonary embolism. Cardiovasc Ultrasound 2013;11:17.
64. Fraga M, Taffe P, Mean M, et al. The inter-rater reliability of the Pulmonary Embolism Severity Index. Thromb Haemost 2010;104:1258-62.
65. Sequeira JF, Duarte PC, Madruga IM, et al. [Pulmonary embolism-mortality risk]. Rev Port Cardiol 1992;11:749-57.
66. Agterof MJ, Schutgens RE, Moumli N, et al. A prognostic model for short term adverse events in normotensive patients with pulmonary embolism. Am J Hematol 2011;86:646-9.
67. Agterof MJ, Schutgens REG, Snijder RJ, et al. Out of hospital treatment of acute pulmonary embolism in patients with a low NT-proBNP level. J Thromb Haemost 2010;8:1235-41.
68. Agterof MJ, Van Bladel ER, Schutgens REG, et al. Risk stratification of patients with pulmonary embolism based on pulse rate and D-dimer concentration. Thromb Haemost 2009;102:683-7.
69. Aujesky D, Obrosky DS, Stone RA, et al. Derivation and validation of a prognostic model for pulmonary embolism. Am J Respir Crit Care Med 2005;172:1041-6.
70. Aujesky D, Obrosky DS, Stone RA, et al. A prediction rule to identify low-risk patients with pulmonary embolism. Arch Intern Med 2006;166:169-75.
71. Aujesky D, Perrier A, Roy PM, et al. Validation of a clinical prognostic model to identify low-risk patients with pulmonary embolism. J Intern Med 2007;261:597-604.
72. Aujesky D, Roy PM, Verschuren F, et al. Outpatient versus inpatient treatment for patients with acute pulmonary embolism: an international, open-label, randomised, non-inferiority trial. Lancet 2011;378:41-8.
73. Becattini C, Casazza F, Forgione C, et al. Acute pulmonary embolism: external validation of an integrated risk stratification model. Chest 2013;144:1539-45.
74. Bertoletti L, Le Gal G, Aujesky D, et al. Prognostic value of the Geneva prediction rule in patients with pulmonary embolism. Thromb Res 2013;132:32-6.
75. Bova C, Pesavento R, Marchiori A, et al. Risk stratification and outcomes in hemodynamically stable patients with acute pulmonary embolism: a prospective, multicentre, cohort study with three months of follow-up. J Thromb Haemost 2009;7:938-44.
76. Chan CM, Woods C, Shorr AF. The validation and reproducibility of the pulmonary embolism severity index. J Thromb Haemost 2010;8:1509-14.
77. Chan CM, Woods CJ, Shorr AF. Comparing the pulmonary embolism severity index and the prognosis in pulmonary embolism scores as risk stratification tools. J Hosp Med 2012;7:22-7.
78. Choi KJ, Cha SI, Shin KM, et al. Prognostic implications of computed tomographic right ventricular dilation in patients with acute pulmonary embolism. Thromb Res 2014;133:182-6.
79. Choi WH, Kwon SU, Jwa YJ, et al. The pulmonary embolism severity index in predicting the prognosis of patients with pulmonary embolism. Korean J Intern Med 2009;24:123-7.
80. Davies CWH, Wimperis J, Green ES, et al. Early discharge of patients with pulmonary embolism: a two-phase observational study. Eur Respir J 2007;30:708-14.
81. Dellas C, Tschepe M, Seeber V, et al. A novel H-FABP assay and a fast prognostic score for risk assessment of normotensive pulmonary embolism. Thromb Haemost 2014;111:996-1003.
82. Donze J, Le Gal G, Fine MJ, et al. Prospective validation of the Pulmonary Embolism Severity Index: a clinical prognostic model for pulmonary embolism. Thromb Haemost 2008;100:943-8.
83. Erkens PMG, Gandara E, Wells PS, et al. Does the Pulmonary Embolism Severity Index accurately identify low risk patients eligible for outpatient treatment? Thromb Res 2012;129:710-14.
84. Ferrer M, Morillo R, Elias T, et al. Validation of two clinical prognostic models in patients with acute symptomatic pulmonary embolism. Arch Bronconeumol 2013;49:427-31.
85. Hariharan P, Takayesu JK, Kabrhel C. Association between the pulmonary embolism severity index (PESI) and short-term clinical deterioration. Thromb Haemost 2011;105:706-11.
86. Jimenez D, Aujesky D, Moores L, et al. Simplification of the pulmonary embolism severity index for prognostication in patients with acute symptomatic pulmonary embolism. Arch Intern Med 2010;170:1383-9.
87. Jimenez D, Aujesky D, Moores L, et al. Combinations of prognostic tools for identification of high-risk normotensive patients with acute symptomatic pulmonary embolism. Thorax 2011;66:75-81.
88. Jiménez D, Kopecna D, Tapson V, et al. Derivation and validation of multimarker prognostication for normotensive patients with acute symptomatic pulmonary embolism. Am J Respir Crit Care Med 2014;189:718-26.
89. Jimenez D, Yusen RD, Otero R, et al. Prognostic models for selecting patients with acute pulmonary embolism for initial outpatient therapy. Chest 2007;132:24-30.
90. Jo JY, Lee MY, Lee JW, et al. Leukocytes and systemic inflammatory response syndrome as prognostic factors in pulmonary embolism patients. BMC Pulm Med 2013;13:74.
91. Kostrubiec M, Pruszczyk P, Bochowicz A, et al. Biomarker-based risk assessment model in acute pulmonary embolism. Eur Heart J 2005;26:2166-72.
92. Kukla P, Bryniarski L, Dlugopolski R, et al. Acute pulmonary embolism registry in the Malopolska region-clinical course. Kardiol Pol 2009;67:735-41.
93. Lankeit M, Friesen D, Schafer K, et al. A simple score for rapid risk assessment of non-high-risk pulmonary embolism. Clin 2013;102:73-80.
94. Lankeit M, Gomez V, Wagner C, et al. A strategy combining imaging and laboratory biomarkers in comparison with a simplified clinical score for risk stratification of patients with acute pulmonary embolism. Chest 2012;141:916-22.
95. Lankeit M, Jimenez D, Kostrubiec M, et al. Predictive value of the high-sensitivity troponin T assay and the simplified pulmonary embolism severity index in hemodynamically stable patients with acute pulmonary embolism: a prospective validation study. Circulation 2011;124:2716-24.
96. Lankeit M, Jiménez D, Kostrubiec M, et al. Validation of N-terminal pro-brain natriuretic peptide cut-off values for risk stratification of pulmonary embolism. Eur Respir J 2014;43:1669-77.
97. Moores L, Aujesky D, Jimenez D, et al. Pulmonary Embolism Severity Index and troponin testing for the selection of low-risk patients with acute symptomatic pulmonary embolism. J Thromb Haemost 2010;8:517-22.
98. Nendaz MR, Bandelier P, Aujesky D, et al. Validation of a risk score identifying patients with acute pulmonary embolism, who are at low risk of clinical adverse outcome. Thromb Haemost 2004;91:1232-6.
99. Ng AC, Chow V, Yong AS, et al. Prognostic impact of the Charlson comorbidity index on mortality following acute pulmonary embolism. Respiration 2013;85:408-16.
100. Nordenholz K, Ryan J, Atwood B, et al. Pulmonary embolism risk stratification: pulse oximetry and pulmonary embolism severity index. J Emerg Med 2011;40:95-102.
101. Otero R, Uresandi F, Jimenez D, et al. Home treatment in pulmonary embolism. Thromb Res 2010;126:e1-5.
102. Ozsu S, Abul Y, Orem A, et al. Predictive value of troponi s and simplified pulmonary embolism severity index in patients with normotensive pulmonary embolism. Multidiscip Respir Med 2013;8:34.
103. Ozsu S, Ozlu T, Şentürk A, et al. Combination and comparison of two models in prognosis of pulmonary embolism: results from Turkey Pulmonary Embolism Group (TUPEG) study. Thromb Res 2014;133:1006-10.
104. Paiva LV, Providencia RC, Barra SN, et al. Cardiovascular risk assessment of pulmonary embolism with the GRACE risk score. Am J Cardiol 2013;111:425-31.
105. Palmieri V, Gallotta G, Rendina D, et al. Troponin I and right ventricular dysfunction for risk assessment in patients with nonmassive pulmonary embolism in the Emergency Department in combination with clinically based risk score. Intern Emerg Med 2008;3:131-8.
106. Papaioannou AI, Kastanis A, Malli F, et al. Predicting short-term mortality in patients with pulmonary embolism: a simple model. Am J Med Sci 2013;345:462-9.
107. Righini M, Roy PM, Meyer G, et al. The Simplified Pulmonary Embolism Severity Index (PESI): validation of a clinical prognostic model for pulmonary embolism. J Thromb Haemost 2011;9:2115-17.
108. Roca IC, Aursulesei V, Roca M, et al. [Comparative evaluation of prognostic scores in pulmonary embolism]. Rev Med Chir Soc Med Nat Iasi 2012;116:69-74.
109. Sam A, Sanchez D, Gomez V, et al. The shock index and the simplified PESI for identification of low-risk patients with acute pulmonary embolism. Eur Respir J 2011;37:762-6.
110. Sanchez D, De Miguel J, Sam A, et al. The effects of cause of death classification on prognostic assessment of patients with pulmonary embolism. J Thromb Haemost 2011;9:2201-7.
111. Sanchez O, Trinquart L, Caille V, et al. Prognostic factors for pulmonary embolism: the PREP study, a prospective multicenter cohort study. Am J Respir Crit Care Med 2010;181:168-73.
112. Sanchez O, Trinquart L, Planquette B, et al. Echocardiography and pulmonary embolism severity index have independent prognostic roles in pulmonary embolism. Eur Respir J 2013;42:681-8.
113. Singanayagam A, Chalmers JD, Scally C, et al. Right ventricular dilation on CT pulmonary angiogram independently predicts mortality in pulmonary embolism. Respir Med 2010;104:1057-62.
114. Singanayagam A, Scally C, Al-Khairalla MZ, et al. Are biomarkers additive to pulmonary embolism severity index for severity assessment in normotensive patients with acute pulmonary embolism? QJM 2011;104:125-31.
115. Soares TH, de Bastos M, de Carvalho BV, et al. Prognostic value of computed tomographic pulmonary angiography and the pulmonary embolism severity index in patients with acute pulmonary embolism. Blood Coagul Fibrinolysis 2013;24: 64-70.
116. Spirk D, Aujesky D, Husmann M, et al. Cardiac troponin testing and the simplified pulmonary embolism severity index the Swiss venous thromboembolism registry (SWIVTER). Thromb Haemost 2011;106:978-84.
117. Subramaniam RM, Mandrekar J, Blair D, et al. The Geneva prognostic score and mortality in patients diagnosed with pulmonary embolism by CT pulmonary angiogram. J Med Imaging Radiat Oncol 2009;53:361-5.
118. Toosi MS, Merlino JD, Leeper KV. Prognostic value of the shock index along with transthoracic echocardiography in risk stratification of Patients With Acute Pulmonary Embolism. Am J Cardiol 2008;101:700-5.
119. Uresandi F, Otero R, Cayuela A, et al. A clinical prediction rule for identifying short-term risk of adverse events in patients with pulmonary thromboembolism. [Spanish]. Arch Bronconeumol 2007;43:617-22.
120. Vanni S, Nazerian P, Pepe G, et al. Comparison of two prognostic models for acute pulmonary embolism: clinical vs. right ventricular dysfunction-guided approach. J Thromb Haemost 2011;9:1916-23.
121. Venetz C, Jimenez D, Mean M, et al. A comparison of the original and simplified pulmonary embolism severity index. Thromb Haemost 2011;106:423-8.
122. Volschan A, Albuquerque D, Tura BR, et al. Predictors of hospital mortality in hemodynamically stable patients with pulmonary embolism. [Portuguese, Spanish, English]. Arq Bras Cardiol 2009;93:135-40.
123. Wicki J, Perrier A, Perneger TV, et al. Predicting adverse outcome in patients with acute pulmonary embolism: q risk score. Thromb Haemost 2000;84:548-52.
124. Yamaki T, Nozaki M, Sakurai H, et al. Presence of lower limb deep vein thrombosis and prognosis in patients with symptomatic pulmonary embolism: preliminary report. Eur J Vasc Endovasc Surg 2009;37:225-31.
125. Zhu L, Wang C, Yang YH, et al. [Prognostic value of right ventricular dysfunction and derivation of a prognostic model for patients with acute pulmonary thromboembolism]. Zhonghua Liu Xing Bing Xue Za Zhi 2009;30:184-8.
126. Zondag W, den Exter PL, Crobach MJT, et al. Comparison of two methods for selection of out of hospital treatment in patients with acute pulmonary embolism. Thromb Haemost 2013;109:47-52.
127. Zondag W, Vingerhoets LMA, Durian MF, et al. Hestia criteria can safely select patients with pulmonary embolism for outpatient treatment irrespective of right ventricular function. J Thromb Haemost 2013;11:686-92.
128. Barra SNC, Paiva LV, Providência R, et al. Atrial fibrillation in acute pulmonary embolism: prognostic considerations. Emerg Med J 2014;31:308-12.
129. Beer JH, Burger M, Gretener S, et al. Outpatient treatment of pulmonary embolism is feasible and safe in a substantial proportion of patients. J Thromb Haemost 2003;1:186-7.
130. Huang CM, Lin YC, Lin YJ, et al. Risk stratification and clinical outcomes in patients with acute pulmonary embolism. Clin Biochem 2011;44:1110-15.
131. Jakobsson C, Jimenez D, Gomez V, et al. Validation of a clinical algorithm to identify low-risk patients with pulmonary embolism. J Thromb Haemost 2010;8:1242-7.
132. Labyk A, Ciurzynski M, Jankowski K, et al. Acute pulmonary embolism: analysis of consecutive 353 patients hospitalised in a single centre. A 3-year experience. Kardiologia polska 2012;70:15-22.
133. Meyer G, Vicaut E, Danays T, et al. Fibrinolysis for patients with intermediate-risk pulmonary embolism. N Engl J Med 2014;370:1402-11.
134. Stamm JA, Long JL, Kirchner HL, et al. Risk Stratification in acute pulmonary embolism: frequency and impact on treatment decisions and outcomes. South Med J 2014;107:72-8.
135. Vuilleumier N, Le Gal G, Cornily JC, et al. Is N-terminal pro-brain natriuretic peptide superior to clinical scores for risk stratification in non-massive pulmonary embolism? J Thromb Haemost 2010;8:1433-5.
136. Bova C, Sanchez O, Prandoni P, et al. Identification of intermediate-risk patients with acute symptomatic pulmonary embolism. Eur Respir J 2014;44:694-703.
137. Perrier A, Howarth N, Didier D, et al. Performance of helical computed tomography in unselected outpatients with suspected pulmonary embolism. Ann Intern Med 2001;135:88-97.
138. Perrier A, Roy PM, Aujesky D, et al. Diagnosing pulmonary embolism in outpatients with clinical assessment, D-dimer measurement, venous ultrasound, and helical computed tomography: a multicenter management study. Am J Med 2004;116:291-9.
139. Perrier A, Roy PM, Sanchez O, et al. Multidetector-row computed tomography in suspected pulmonary embolism. N Engl J Med 2005;352:1760-8.
140. Righini M, Le Gal G, Aujesky D, et al. Diagnosis of pulmonary embolism by multidetector CT alone or combined with venous ultrasonography of the leg: a randomised non-inferiority trial. Lancet 2008;371:1343-52.
141. Roy PM, Meyer G, Vielle B, et al. Appropriateness of diagnostic management and outcomes of suspected pulmonary embolism. Ann Intern Med 2006;144:157-64.
142. Vuilleumier N, Le Gal G, Verschuren F, et al. Cardiac biomarkers for risk stratification in non-massive pulmonary embolism: a multicenter prospective study. J Thromb Haemost 2009;7:391-8.
143. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, et al. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27:157-72; discussion 207-12.
144. McGinn TG, Guyatt GH, Wyer PC, et al. Users' guides to the medical literature: XXII: how to use articles about clinical decision rules. Evidence-Based Medicine Working Group. JAMA 2000;284:79-84.
145. Vinson DR, Zehtabchi S, Yealy DM. Can selected patients with newly diagnosed pulmonary embolism be safely treated without hospitalization? A systematic review. Ann Emerg Med 2012;60:651-62.e4.
146. Macaskill P, Gatsonis C, Deeks JJ, et al. Chapter 10: analysing and presenting results. In: Deeks JJ, Bossuyt PM, Gatsonis C, eds. Cochrane handbook for systematic reviews of diagnostic test accuracy version 1.0. The Cochrane Collaboration, 2010. http:// srdta.cochrane.org/
147. Squizzato A, Donadini MP, Galli L, et al. Prognostic clinical prediction rules to identify a low-risk pulmonary embolism: a systematic review and meta-analysis. J Thromb Haemost 2012;10:1276-90.
148. Kohn CG, Mearns ES, Parker MW, et al. Prognostic accuracy of clinical prediction rules for early post-pulmonary embolism all-cause mortality: a bivariate meta-analysis. Chest 2015;147:1043-62.
149. Zhou XY, Ben SQ, Chen HL, et al. The prognostic value of pulmonary embolism severity index in acute pulmonary embolism: a meta-analysis. Respir Res 2012;13:111.
150. Steyerberg EW, Moons KG, van der Windt DA, et al. Prognosis Research Strategy (PROGRESS) 3: prognostic model research. PLoS Med 2013;10:e1001381.