Comparison of Mortality Prediction Models after Open Abdominal Aortic Aneurysm Repair

European Journal of Vascular and Endovascular Surgery

Volumn 33, Issue 5, 2007, Pages 536-543

  Hadjianastassiou, V G ^a   Tekkis, P P ^b   Athanasiou, T ^c   Muktadir, A ^d   Young, J D ^e   Hands, L J ^e  

^a ST THOMAS HOSPITAL   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c NATIONAL HEART AND LUNG INSTITUTE   (United Kingdom)

^d CHURCHILL HOSPITAL   (United Kingdom)

^e JOHN RADCLIFFE HOSPITAL   (United Kingdom)

Author keywords

Hospital mortality; Intensive care units; Models, Statistical; Prognosis; Severity of illness index

Indexed keywords

ABDOMINAL AORTA ANEURYSM; ACCURACY; ADULT; AGED; ANEURYSM SURGERY; APACHE; ARTICLE; CALIBRATION; CASE MIX; COMPARATIVE STUDY; CONFIDENCE INTERVAL; CONTROLLED STUDY; ELECTIVE SURGERY; EMERGENCY SURGERY; FEMALE; HUMAN; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; MALE; OUTCOME ASSESSMENT; POSTOPERATIVE PERIOD; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; STATISTICAL MODEL; SURGICAL MORTALITY; SURGICAL PATIENT;

AGED; AORTIC ANEURYSM, ABDOMINAL; APACHE; FEMALE; HOSPITAL MORTALITY; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; PROGNOSIS; RISK ASSESSMENT; SEVERITY OF ILLNESS INDEX; SURVIVAL ANALYSIS; VASCULAR SURGICAL PROCEDURES;

EID: 34147132371     PISSN: 10785884     EISSN: 15322165     Source Type: Journal    
DOI: 10.1016/j.ejvs.2006.11.016     Document Type: Article

References (24)

1. Prytherch D.R., Ridler B.M., and Ashley S. Risk-adjusted predictive models of mortality after index arterial operations using a minimal data set. Br J Surg 92 (2005) 714-718
2. National Confidential Enquiry into Patient Outcome and Death. Abdominal Aortic Aneurysm: A service in need of surgery? London; 2005.
3. Mourouga P., Goldfrad C., and Rowan K.M. Does it fit? Is it good? Assessment of scoring systems (Severity scoring in the critically ill patient). Curr Opin Crit Care 6 (2000) 176-180
4. In: Hosmer J.A., and Lemeshow S. (Eds). Applied logistic regression (2000), John Wiley & Sons, Inc, New York
5. Hadjianastassiou V.G., Tekkis P.P., Goldhill D.R., and Hands L.J. Quantification of mortality risk after abdominal aortic aneurysm repair. Br J Surg 92 (2005) 1092-1098
6. Hadjianastassiou V.G., Franco L., Jerez J.M., Evangelou I.E., Goldhill D.R., Tekkis P.P., et al. Informed prognosis after abdominal aortic aneurysm repair using predictive modelling techniques. J Vasc Surg 43 (2006) 467-473
7. Prytherch D.R., Sutton G.L., and Boyle J.R. Portsmouth POSSUM models for abdominal aortic aneurysm surgery. Br J Surg 88 (2001) 958-963
8. Harrell Jr. F.E., Lee K.L., Califf R.M., Pryor D.B., and Rosati R.A. Regression modelling strategies for improved prognostic prediction. Stat Med 3 (1984) 143-152
9. Copeland G.P., Jones D., and Walters M. POSSUM: a scoring system for surgical audit. Br J Surg 78 (1991) 355-360
10. Dhond G., Ridley S., and Palmer M. The impact of a high-dependency unit on the workload of an intensive care unit. Anaesthesia 53 (1998) 841-847
11. Jones H.J.S., Coggins R., Lafuente J., and de Cossart L. Value of a high-dependency unit. Br J Surg 86 (1999) 1578-1582
12. Prytherch D.R., Ridler B.F., Beard J.D., Earnshaw J.J., Audit and Research Committee, and The Vascular Surgical Society of Great Britain and Ireland. A model for national outcome audit in vascular surgery. Eur J Vasc Endovasc Surg 21 (2001) 477-483
13. Bann S.D., and Sarin S. Comparative audit: the trouble with POSSUM. J R Soc Med 94 (2001) 632-634
14. Lloyd H., Ahmed I., Taylor S., and Blake J.R. Index for predicting mortality in elderly surgical patients. Br J Surg 92 (2005) 487-492
15. Harrell Jr. F.E., Lee K.L., and Mark D.B. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 15 (1996) 361-387
16. Weijnen C.F., Numans M.E., de Vit N.J., Smout A.J.P.M., Moons K.G.M., Verheij T.J.M., et al. Testing for Helicobacter Pylori in dyspeptic patients suspected of peptic ulcer disease in primary care: cross sectional study. BMJ 323 (2001) 71-75
17. Eng J. Predicting the presence of acute pulmonary embolism: a comparative analysis of the artificial neural network, logistic regression, and threshold models. AJR Am J Roentgenol 179 (2002) 869-874
18. Hanley J.A., and McNeil B.J. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 148 (1983) 839-843
19. Apolone G., Bertolini G., D'Amico R., Iapichino G., Cattaneo A., De Salvo G., et al. The performance of SAPS II in a cohort of patients admitted to 99 Italian ICUs: results from GiViTI. Gruppo Italiano per la Valutazione degli interventi in Terapia Intensiva. Intensive Care Med 22 (1996) 1368-1378
20. Beck D.H., Smith G.B., Pappachan J.V., and Millar B. External validation of the SAPS II, APACHE II and APACHE III prognostic models in South England: a multicentre study. Intensive Care Med 29 (2003) 249-256
21. Charlson M.E., Ales K.L., Simon R., and MacKenzie C.R. Why predictive indexes perform less well in validation studies. Is it magic or methods?. Arch Intern Med 147 (1987) 2155-2161
22. Moreno R., Miranda D.R., Fidler V., and Van Schilfgaarde R. Evaluation of two outcome prediction models on an independent database. Crit Care Med 26 (1998) 50-61
23. Murphy-Filkins R., Teres D., Lemeshow S., and Hosmer D.W. Effect of changing patient mix on the performance of an intensive care unit severity-of-illness model: how to distinguish a general from a specialty intensive care unit. Crit Care Med 24 (1996) 1968-1973
24. Rowan K.M., Kerr J.H., Major E., McPherson K., Short A., and Vessey M.P. Intensive Care Society's APACHE II study in Britain and Ireland-II: outcome comparisons of intensive care units after adjustment for case mix by the American APACHE II method. BMJ 307 (1993) 977-981