Literature DB >> 25568421

Independent validation of the Nottingham Hip Fracture Score and identification of regional variation in patient risk within England.

P R P Rushton1, M R Reed1, R K Pratt1.   

Abstract

The Nottingham Hip Fracture Score (NHFS) was developed to assess the risk of death following a fracture of the hip, based on pre-operative patient characteristics. We performed an independent validation of the NHFS, assessed the degree of geographical variation that exists between different units within the United Kingdom and attempted to define a NHFS level that is associated with high risk of mortality. The NHFS was calculated retrospectively for consecutive patients presenting with a fracture of the hip to two hospitals in England. The observed 30-day mortality for each NHFS cohort was compared with that predicted by the NHFS using the Hosmer-Lemeshow test. The distribution of NHFS in the observed group was compared with data from other hospitals in the United Kingdom. The proportion of patients identified as high risk and the mortality within the high risk group were assessed for groups defined using different thresholds for the NHFS. In all 1079 hip fractures were included in the analysis, with a mean age of 83 years (60 to 105), 284 (26%) male. Overall 30-day mortality was 7.3%. The NHFS was a significant predictor of 30-day mortality. Statistically significant differences in the distribution of the NHFS were present between different units in England (p < 0.001). A NHFS ≥ 6 appears to be an appropriate cut-point to identify patients at high risk of mortality following a fracture of the hip. ©2015 The British Editorial Society of Bone & Joint Surgery.

Entities:  

Keywords:  Fracture; Hip; Mortality; Nottingham hip fracture score

Mesh:

Year:  2015        PMID: 25568421     DOI: 10.1302/0301-620X.97B1.34670

Source DB:  PubMed          Journal:  Bone Joint J        ISSN: 2049-4394            Impact factor:   5.082


  16 in total

1. 

Authors:  Berrin Günaydın; Ömer Kurtipek
Journal:  Turk J Anaesthesiol Reanim       Date:  2018-06-01

2.  Combination of red cell distribution width and American Society of Anesthesiologists score for hip fracture mortality prediction.

Authors:  P Yin; H Lv; L Zhang; A Long; L Zhang; P Tang
Journal:  Osteoporos Int       Date:  2016-03-14       Impact factor: 4.507

3.  Validation of the Nottingham Hip Fracture Score (NHFS) in Patients with Hip Fracture: A Prospective Cohort Study in the Netherlands.

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4.  Dedicated Perioperative Hip Fracture Comanagement Programs are Cost-effective in High-volume Centers: An Economic Analysis.

Authors:  Eric Swart; Eshan Vasudeva; Eric C Makhni; William Macaulay; Kevin J Bozic
Journal:  Clin Orthop Relat Res       Date:  2015-08-11       Impact factor: 4.176

Review 5.  Modernising Hip Fracture Anaesthesia.

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Journal:  Open Orthop J       Date:  2017-10-31

6.  Acute and chronic kidney disease in elderly patients with hip fracture: prevalence, risk factors and outcome with development and validation of a risk prediction model for acute kidney injury.

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7.  Predicting 30-day mortality after hip fracture surgery: Evaluation of the National Hip Fracture Database case-mix adjustment model.

Authors:  C Tsang; C Boulton; V Burgon; A Johansen; R Wakeman; D A Cromwell
Journal:  Bone Joint Res       Date:  2017-09       Impact factor: 5.853

Review 8.  Thirty-day mortality after hip fractures: has anything changed?

Authors:  Dionysios Giannoulis; Giorgio M Calori; Peter V Giannoudis
Journal:  Eur J Orthop Surg Traumatol       Date:  2016-03-04

9.  Combination of measures of handgrip strength and red cell distribution width can predict in-hospital complications better than the ASA grade after hip fracture surgery in the elderly.

Authors:  Hyung-Min Ji; Jun Han; Hi-Won Bae; Ye-Yeon Won
Journal:  BMC Musculoskelet Disord       Date:  2017-08-30       Impact factor: 2.362

10.  The Ability of the Nottingham Hip Fracture Score to Predict Mobility, Length of Stay and Mortality in Hospital, and Discharge Destination in Patients Admitted with a Hip Fracture.

Authors:  Radcliffe Lisk; Keefai Yeong; David Fluck; Christopher H Fry; Thang S Han
Journal:  Calcif Tissue Int       Date:  2020-07-11       Impact factor: 4.333

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