Statistical Methods for Predicting Mortality in Patients Diagnosed with Acute Pulmonary Embolism

Academic Radiology

Volumn 19, Issue 12, 2012, Pages 1465-1473

  Parast, Layla ^a   Cai, Bryan ^b   Bedayat, Arash ^b,c   Kumamaru, Kanako K ^b   George, Elizabeth ^b   Dill, Karin E ^d   Rybicki, Frank J ^b  

^a HARVARD UNIVERSITY   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^d UNIVERSITY OF CHICAGO   (United States)

Author keywords

Clinical outcomes; CT pulmonary angiography; Landmark prediction; Logistic regression; Pulmonary embolism; Risk stratification; ROC analysis

Indexed keywords

HEPARIN; LOW MOLECULAR WEIGHT HEPARIN; WARFARIN;

ACUTE PULMONARY EMBOLISM; ANTICOAGULANT THERAPY; ARTICLE; COHORT ANALYSIS; COMORBIDITY; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; COMPUTED TOMOGRAPHIC PULMONARY ANGIOGRAPHY; CORONARY ARTERY DISEASE; FEMALE; HUMAN; HYPERTENSION; LUNG ANGIOGRAPHY; LUNG EMBOLISM; MAJOR CLINICAL STUDY; MALE; MORTALITY; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; RISK FACTOR;

ACUTE DISEASE; DATA INTERPRETATION, STATISTICAL; HUMANS; LOGISTIC MODELS; LUNG; PULMONARY EMBOLISM; RISK ASSESSMENT; ROC CURVE; TOMOGRAPHY, X-RAY COMPUTED; VENTRICULAR DYSFUNCTION, RIGHT;

EID: 84868279573     PISSN: 10766332     EISSN: 18784046     Source Type: Journal    
DOI: 10.1016/j.acra.2012.09.008     Document Type: Article

References (46)

1. Carson J., Kelley M., Duff A., et al. The clinical course of pulmonary embolism. N Engl J Med 1992, 326:1240-1245.
2. Tapson V. Acute pulmonary embolism. N Engl J Med 2008, 358:1037-1052.
3. Goldhaber S., Visani L., De Rosa M. Acute pulmonary embolism: clinical outcomes in the International Cooperative Pulmonary Embolism Registry (ICOPER). Lancet 1999, 353:1386-1389.
4. Aujesky D., Perrier A., Roy P., et al. Validation of a clinical prognostic model to identify low-risk patients with pulmonary embolism. J Intern Med 2007, 261:597-604.
5. Wicki J., Perrier A., Perneger T., et al. Predicting adverse outcome in patients with acute pulmonary embolism: a risk score. Thromb Haemost 2000, 84:548-552.
6. Wood K. Major pulmonary embolism. Chest 2002, 121:877-905.
7. Ghaye B., Ghuysen A., Bruyere P., et al. Can CT pulmonary angiography allow assessment of severity and prognosis in patients presenting with pulmonary embolism? What the radiologist needs to know. Radiographics 2006, 26:23-39.
8. Henzler T., Krissak R., Reichert M., et al. Volumetric analysis of pulmonary CTA for the assessment of right ventricular dysfunction in patients with acute pulmonary embolism. Acad Radiol 2010, 17:309-315.
9. Quiroz R., Kucher N., Schoepf U., et al. Right ventricular enlargement on chest computed tomography. Circulation 2004, 109:2401-2404.
10. Schoepf U., Kucher N., Kipfmueller F., et al. Right ventricular enlargement on chest computed tomography. Circulation 2004, 110:3276-3280.
11. Hunsaker A., Lu M., Goldhaber S., et al. Imaging in acute pulmonary embolism with special clinical scenarios. Circ Cardiovasc Imaging 2010, 3:491-500.
12. Lu M., Demehri S., Cai T., et al. Axial and reformatted four-chamber right ventricle-to-left ventricle diameter ratios on pulmonary ct angiography as predictors of death after acute pulmonary embolism. AJR Am J Roentgenol 2012, 198:1353-1360.
13. Lu M., Ersoy H., Whitmore A., et al. Reformatted four-chamber and short-axis views of the heart using thin section (≤ 2 mm) MDCT images. Acad Radiol 2007, 14:1108-1112.
14. Alexander J., Yuhas J., Piotrowski J. Is the increasing use of prophylactic percutaneous IVC filters justified?. Am J Surg 1994, 168:102-106.
15. Ferris E., McCowan T., Carver D., et al. Percutaneous inferior vena caval filters: follow-up of seven designs in 320 patients. Radiology 1993, 188:851-856.
16. Grifoni S., Olivotto I., Cecchini P., et al. Short-term clinical outcome of patients with acute pulmonary embolism, normal blood pressure, and echocardiographic right ventricular dysfunction. Circulation 2000, 101:2817-2822.
17. Van Houwelingen H. Dynamic prediction by landmarking in event history analysis. Scand J Stat 2007, 34:70-85.
18. Anderson J., Cain K., Gelber R. Analysis of survival by tumor response. J Clin Oncol 1983, 1:710.
19. Parast L, Cai T. Landmark prediction of survival. Harvard University Biostatistics Working Paper Series 123. Available at: Accessed September 27, 2012. http://www.bepress.com/harvardbiostat/paper123/.
20. Fan J., Li R. Variable selection via nonconcave penalized likelihood and its oracle properties. J Am Stat Assoc 2001, 96:1348-1360.
21. Binder H., Porzelius C., Schumacher M. An overview of techniques for linking high-dimensional molecular data to time-to-event endpoints by risk prediction models. Biometr J 2011, 53:170-189.
22. Metz C., Goodenough D., Rossmann K. Evaluation of receiver operating characteristic curve data in terms of information theory, with applications in radiography. Radiology 1973, 109:297-303.
23. Dorfman D., Berbaum K., Metz C. ROC rating analysis: generalization to the population of readers and cases with the jackknife method. Invest Radiol 1992, 27:1099.
24. Jiang Y., Nishikawa R., Schmidt R., et al. Improving breast cancer diagnosis with computer-aided diagnosis. Acad Radiol 1999, 6:22-33.
25. Kobayashi T., Xu X., MacMahon H., et al. Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs. Radiology 1996, 199:843-848.
26. Giger M., Doi K., MacMahon H., et al. Pulmonary nodules: computer-aided detection in digital chest images. Radiographics 1990, 10:41-51.
27. Metz C. Basic principles of ROC analysis. Semin Nucl Medicine 1978, 8:283-298.
28. Metz C. Some practical issues of experimental design and data analysis in radiological ROC studies. Invest Radiol 1989, 24:234-245.
29. Metz C. ROC methodology in radiologic imaging. Invest Radiol 1986, 21:720-733.
30. Metz C., Herman B., Roe C. Statistical comparison of two ROC-curve estimates obtained from partially-paired datasets. Med Decis Making 1998, 18:110-121.
31. Metz C., Herman B., Shen J. Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data. Stat Med 1998, 17:1033-1053.
32. Wagner R., Beiden S., Metz C. Continuous versus categorical data for ROC analysis: some quantitative considerations. Acad Radiol 2001, 8:328-334.
33. Zou H. The adaptive LASSO and its oracle properties. J Am Stat Assoc 2006, 101:1418-1429.
34. McCullagh P., Nelder J. Generalized Linear Models 1989, Chapman & Hall/CRC, New York.
35. Tibshirani R. Regression shrinkage and selection via the LASSO. J R Stat Soc Ser B Stat Methodol 1996, 267-288.
36. Park M., Hastie T. L1-regularization path algorithm for generalized linear models. J R Stat Soc Ser B Stat Methodol 2007, 69:659-677.
37. Yuan M., Lin Y. Model selection and estimation in regression with grouped variables. J R Stat Soc Ser B Stat Methodol 2006, 68:49-67.
38. Yuan M., Joseph V., Zou H. Structured variable selection and estimation. Ann Appl Stat 2009, 3:1738-1757.
39. Efron B., Tibshirani R. An Introduction to the Bootstrap, Vol 57 1993, Chapman & Hall/CRC, New York.
40. Swets J.A., Pickett R.M. Evaluation of Diagnostic Systems: Methods From Signal Detection Theory 1982, Academic Press, New York.
41. Hanley H.A. Receiver operating characteristic (ROC) methodology: the state of the art. Clin Rev Diagn Imaging 1989, 29:307-335.
42. Begg C.B. Advances in statistical methodology for diagnostic medicine in the 1980's. Stat Med 1991, 10:1887-1895.
43. Samuelson F., Gallas B., Myers K., et al. The importance of ROC data. Acad Radiol 2011, 18:257.
44. Zhao X., Dai W., Li Y., et al. AUC-based biomarker ensemble with an application on gene scores predicting low bone mineral density. Bioinformatics 2011, 27:3050-3055.
45. Vedovati M, Becattini C, Agnelli G, et al. Multidetector computed tomography for acute pulmonary embolism: embolic burden and clinical outcome. Chest. In press.
46. Stein P., Matta F., Janjua M., et al. Outcome in stable patients with acute pulmonary embolism who had right ventricular enlargement and/or elevated levels of troponin I. Am J Cardiol 2010, 106:558-563.