Clinical Orthopaedics and Related Research®
© The Association of Bone and Joint Surgeons® 2010
10.1007/s11999-010-1350-4

Letter to the Editor

Letter to the Editor: New Equations for Predicting Postoperative Risk in Patients with Hip Fracture

Ian MoppettContact Information

(1)  University of Nottingham, Anaesthesia and Intensive Care, Queen’s Medical Centre Campus, Nottingham University Hospitals NHS Trust, Derby Road, Nottingham, Notts, NG7 2UH, UK

Contact Information Ian Moppett
Email: iain.moppett@nottingham.ac.uk

Published online: 13 April 2010


Without Abstract
(Re: Hirose J, Ide J, Irie H, Kikukawa K, Mizuta H. New equations for predicting postoperative risk in patients with hip fracture. Clin Orthop Relat Res. 2009;467:3327–3333.)

To the Editor:

I read with interest the paper by Hirose et al. [2] describing the use of E-PASS to predict postoperative risk based on preoperative factors in patients with hip fractures. The authors are to be congratulated on attempting to validate their risk prediction in a separate cohort of patients. However, I have some concerns regarding the data as presented.

First, the subjects chosen were a nonrepresentative population. Patients with no complications were excluded from the study groups, yet this group represents a substantial proportion of patients with hip fractures. As the definition of lack of complications is a retrospective finding, it is not clear how the score then can be used preoperatively.

Second, in addition to the comments made by Zhou and Fan [6], I question the appropriateness of the analysis performed. For a score to be assessed as reliable, there should be some statistical assessment. Hirose et al. report observed-to-estimated ratios, but make no statistical assessment. The Hosmer-Lemeshow test is an appropriate test in these circumstances [3].

Third, I question the rationale for the comparisons made in the paper. POSSUM previously was shown to be not particularly useful in this population [5]. The surgical stress score has a very narrow range in this population, and therefore is unlikely to have discriminatory ability. As Hirose et al. stated, several scoring systems have been developed. Maxwell et al. [4] reported on a large series of patients, validating a hip fracture score, which is based on recognized risk factors for postoperative mortality, and comparing it with the ASA and Donati scores [1]. Thus, it is unclear why E-PASS would be a better technique than those that have gone before.


References

1. Donati A, Ruzzi M, Adrario E, Pelaia P, Coluzzi F, Gabbanelli V, Pietropaoli P. A new and feasible model for predicting operative risk. Br J Anaesth. 2004;93:393–399.
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2. Hirose J, Ide J, Irie H, Kikukawa K, Mizuta H. New equations for predicting postoperative risk in patients with hip fracture. Clin Orthop Relat Res. 2009;467:3327–3333.
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3. Lemeshow S, Hosmer DW Jr. A review of goodness of fit statistics for use in the development of logistic regression models. Am J Epidemiol. 1982;115:92–106.
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4. Maxwell MJ, Moran CG, Moppett IK. Development and validation of a preoperative scoring system to predict 30 day mortality in patients undergoing hip fracture surgery. Br J Anaesth. 2008;101:511–517.
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5. Ramanathan TS, Moppett IK, Wenn R, Moran CG. POSSUM scoring for patients with fractured neck of femur. Br J Anaesth. 2005;94:430–433.
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6. Zhou Z, Fan S. Letter to the editor: New equations for predicting postoperative risk in patients with hip fracture. Clin Orthop Relat Res. 2010 Feb 6. (Epub ahead of print)