Predicting 30-day mortality following hip fracture surgery: Evaluation of six risk prediction models

Injury

Volumn 46, Issue 2, 2015, Pages 371-377

  Karres, Julian ^a   Heesakkers, Nicole A ^a   Ultee, Jan M ^a   Vrouenraets, Bart C ^a  

^a ONZE LIEVE VROUWE GASTHUIS   (Netherlands)

Author keywords

Hip fractures; Mortality; Outcome; Risk prediction; Scoring; Surgery

Indexed keywords

HEMOGLOBIN;

ADULT; AGE; AGED; AREA UNDER THE CURVE; ARTICLE; CALIBRATION; CHARLSON COMORBIDITY INDEX; EVALUATION STUDY; FEMALE; FRACTURE; HEMOGLOBIN BLOOD LEVEL; HIP FRACTURE; HIP SURGERY; HOSPITAL ADMISSION; HUMAN; MAJOR CLINICAL STUDY; MALE; MORBIDITY; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; RISK ASSESSMENT; SURGICAL MORTALITY; COMORBIDITY; EPIDEMIOLOGY; HIP FRACTURES; MIDDLE AGED; MORTALITY; NETHERLANDS; OSTEOSYNTHESIS; POSTOPERATIVE COMPLICATION; PREDICTIVE VALUE; PROPORTIONAL HAZARDS MODEL; SEVERITY OF ILLNESS INDEX; TRENDS; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; COMORBIDITY; FEMALE; FRACTURE FIXATION, INTERNAL; HIP FRACTURES; HOSPITAL MORTALITY; HUMANS; MALE; MIDDLE AGED; NETHERLANDS; POSTOPERATIVE COMPLICATIONS; PREDICTIVE VALUE OF TESTS; PROPORTIONAL HAZARDS MODELS; RETROSPECTIVE STUDIES; RISK ASSESSMENT; ROC CURVE; SEVERITY OF ILLNESS INDEX;

EID: 84922978896     PISSN: 00201383     EISSN: 18790267     Source Type: Journal    
DOI: 10.1016/j.injury.2014.11.004     Document Type: Article

References (35)

1. J.D. Zuckerman Hip fracture N Engl J Med 334 23 1996 1519 1525
2. K.A. Hartholt, E.F. van Beeck, S. Polinder, N. van der Velde, E.M. van Lieshout, and M.J. Panneman Societal consequences of falls in the older population: injuries, healthcare costs, and long-term reduced quality of life J Trauma 71 3 2011 748 753
3. W.J. Meerding, S. Mulder, and E.F. van Beeck Incidence and costs of injuries in the Netherlands Eur J Public Health 16 3 2006 272 278
4. Statistics Netherlands. Hip fractures 2010-2011 Statline CBS [2014 [cited 2014 May 27]; Available from: URL: http://statline.cbs.nl/StatWeb/publication/default.aspx?DM=SLNL&PA=71859NED&D1=4&D2=0&D3=0&D4=157&D5=26-30&STB=G2%2cG3%2cG4%2cG1%2cT&CHARTTYPE=1&VW=T
5. F. Hu, C. Jiang, J. Shen, P. Tang, and Y. Wang Preoperative predictors for mortality following hip fracture surgery: a systematic review and meta-analysis Injury 2011
6. T. Smith, K. Pelpola, M. Ball, A. Ong, and P.K. Myint Pre-operative indicators for mortality following hip fracture surgery: a systematic review and meta-analysis Age Ageing 2014
7. K. Mohamed, G.P. Copeland, D.A. Boot, H.C. Casserley, I.M. Shackleford, and P.G. Sherry An assessment of the POSSUM system in orthopaedic surgery J Bone Joint Surg Br 84 5 2002 735 739
8. M.E. Charlson, P. Pompei, K.L. Ales, and C.R. MacKenzie A new method of classifying prognostic comorbidity in longitudinal studies: development and validation J Chronic Dis 40 5 1987 373 383
9. G.S. Collins, and K.G. Moons Comparing risk prediction models BMJ 344 2012 3186
10. D.B. Toll, K.J. Janssen, Y. Vergouwe, and K.G. Moons Validation, updating and impact of clinical prediction rules: a review J Clin Epidemiol 61 11 2008 1085 1094
11. J.A. Hanley, and B.J. McNeil The meaning and use of the area under a receiver operating characteristic (ROC) curve Radiology 143 1 1982 29 36
12. D.W. Hosmer, and S. Lemeshow Applied logistic regression 2004 Wiley New York, USA
13. S. Lemeshow, and D.W. Hosmer Jr. A review of goodness of fit statistics for use in the development of logistic regression models Am J Epidemiol 115 1 1982 92 106
14. C.E. Metz, B.A. Herman, and C.A. Roe Statistical comparison of two ROC-curve estimates obtained from partially-paired datasets Med Decis Making 18 1 1998 110 121
15. G.P. Copeland, D. Jones, and M. Walters POSSUM: a scoring system for surgical audit Br J Surg 78 3 1991 355 360
16. J. Hirose, H. Mizuta, J. Ide, E. Nakamura, and K. Takada E-PASS for predicting postoperative risk with hip fracture: a multicenter study Clin Orthop Relat Res 466 11 2008 2833 2841
17. J. Hirose, H. Mizuta, J. Ide, and K. Nomura Evaluation of estimation of physiologic ability and surgical stress (E-PASS) to predict the postoperative risk for hip fracture in elder patients Arch Orthop Trauma Surg 128 12 2008 1447 1452
18. H.X. Jiang, S.R. Majumdar, D.A. Dick, M. Moreau, J. Raso, and D.D. Otto Development and initial validation of a risk score for predicting in-hospital and 1-year mortality in patients with hip fractures J Bone Miner Res 20 3 2005 494 500
19. M.J. Maxwell, C.G. Moran, and I.K. Moppett Development and validation of a preoperative scoring system to predict 30 day mortality in patients undergoing hip fracture surgery Br J Anaesth 101 4 2008 511 517
20. I.K. Moppett, M. Parker, R. Griffiths, T. Bowers, S.M. White, and C.G. Moran Nottingham Hip Fracture Score: longitudinal and multi-assessment Br J Anaesth 109 4 2012 546 550
21. G. Holt, R. Smith, K. Duncan, D.F. Finlayson, and A. Gregori Early mortality after surgical fixation of hip fractures in the elderly: an analysis of data from the scottish hip fracture audit J Bone Joint Surg Br 90 10 2008 1357 1363
22. M.D. Wiles, C.G. Moran, O. Sahota, and I.K. Moppett Nottingham Hip Fracture Score as a predictor of one year mortality in patients undergoing surgical repair of fractured neck of femur Br J Anaesth 106 4 2011 501 504
23. I.K. Moppett, M.D. Wiles, C.G. Moran, and O. Sahota The Nottingham Hip Fracture Score as a predictor of early discharge following fractured neck of femur Age Ageing 41 3 2012 322 326
24. Y. Haga, S. Ikei, and M. Ogawa Estimation of Physiologic Ability and Surgical Stress (E-PASS) as a new prediction scoring system for postoperative morbidity and mortality following elective gastrointestinal surgery Surg Today 29 3 1999 219 225
25. J. Hirose, J. Ide, H. Irie, K. Kikukawa, and H. Mizuta New equations for predicting postoperative risk in patients with hip fracture Clin Orthop Relat Res 467 12 2009 3327 3333
26. L.L. Kirkland, D.T. Kashiwagi, M.C. Burton, S. Cha, and P. Varkey The Charlson Comorbidity Index Score as a predictor of 30 day mortality after hip fracture surgery Am J Med Qual 26 6 2011 461 467
27. M.L. van Zeeland, I.P. Genovesi, J.W. Mulder, P.R. Strating, A.S. Glas, and A.F. Engel POSSUM predicts hospital mortality and long-term survival in patients with hip fractures J Trauma 70 4 2011 E67 E72
28. D.M. Wright, S. Blanckley, G.J. Stewart, and G.P. Copeland The use of orthopaedic POSSUM as an audit tool for fractured neck of femur Injury 39 4 2008 430 435
29. W. Young, R. Seigne, S. Bright, and M. Gardner Audit of morbidity and mortality following neck of femur fracture using the POSSUM scoring system N Z Med J 119 1234 2006 1986
30. T.S. Ramanathan, I.K. Moppett, R. Wenn, and C.G. Moran POSSUM scoring for patients with fractured neck of femur Br J Anaesth 94 4 2005 430 433
31. A.A. Kramer, and J.E. Zimmerman Assessing the calibration of mortality benchmarks in critical care: the Hosmer-Lemeshow test revisited Crit Care Med 35 9 2007 2052 2056
32. G. Bertolini, R. D'Amico, D. Nardi, A. Tinazzi, and G. Apolone One model, several results: the paradox of the Hosmer-Lemeshow goodness-of-fit test for the logistic regression model J Epidemiol Biostat 5 4 2000 251 253
33. J.P. Marcin, and P.S. Romano Size matters to a model's fit Crit Care Med 35 9 2007 2212 2213
34. G.C. Siontis, I. Tzoulaki, K.C. Siontis, and J.P. Ioannidis Comparisons of established risk prediction models for cardiovascular disease: systematic review BMJ 344 2012 3318
35. E. Burgos, J.I. Gomez-Arnau, R. Diez, L. Munoz, J. Fernandez-Guisasola, and S. Garcia del Valle Predictive value of six risk scores for outcome after surgical repair of hip fracture in elderly patients Acta Anaesthesiol Scand 52 1 2008 125 131