메뉴 건너뛰기




Volumn 6, Issue 9, 2017, Pages 550-556

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

Author keywords

Hip fracture; Mortality; Orthopaedics; Risk factors; Surgery

Indexed keywords

ADULT; AGED; ARTICLE; CASE MIX; CLINICAL EVALUATION; COMPARATIVE STUDY; CONFIDENCE INTERVAL; CONTROLLED STUDY; ENGLAND; FEMALE; FRACTURE FIXATION; HIP FRACTURE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MORTALITY RATE; MORTALITY RISK; MULTICENTER STUDY; NATIONAL HIP FRACTURE DATABASE MODEL; NORTHERN IRELAND; NOTTINGHAM HIP FRACTURE SCORE; PREDICTION; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; RISK FACTOR; SCORING SYSTEM; STATISTICAL ANALYSIS; SURGICAL MORTALITY; VERY ELDERLY; WALES;

EID: 85031003286     PISSN: None     EISSN: 20463758     Source Type: Journal    
DOI: 10.1302/2046-3758.69.BJR-2017-0020.R1     Document Type: Article
Times cited : (54)

References (24)
  • 1
    • 85005782157 scopus 로고    scopus 로고
    • No authors listed. (date last accessed 28 June 2017)
    • No authors listed. National Hip Fracture Database, Annual Report 2016. https://www.rcplondon.ac.uk/projects/outputs/national-hip-fracture-database-annual-report-2016 (date last accessed 28 June 2017).
    • (2016) National Hip Fracture Database, Annual Report
  • 3
    • 53849101009 scopus 로고    scopus 로고
    • Early mortality after surgical fixation of hip fractures in the elderly: An analysis of data from the Scottish hip fracture audit
    • Holt G, Smith R, Duncan K, Finlayson DF, Gregori A. 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] 2008;90-B:1357-1363.
    • (2008) J Bone Joint Surg [br] , vol.90 B , pp. 1357-1363
    • Holt, G.1    Smith, R.2    Duncan, K.3    Finlayson, D.F.4    Gregori, A.5
  • 4
    • 84951574237 scopus 로고    scopus 로고
    • Risk scoring models for predicting peri-operative morbidity and mortality in people with fragility hip fractures: Qualitative systematic review
    • Marufu TC, Mannings A, Moppett IK. Risk scoring models for predicting peri-operative morbidity and mortality in people with fragility hip fractures: qualitative systematic review. Injury 2015;46:2325-2334.
    • (2015) Injury , vol.46 , pp. 2325-2334
    • Marufu, T.C.1    Mannings, A.2    Moppett, I.K.3
  • 5
    • 84922978896 scopus 로고    scopus 로고
    • Predicting 30-day mortality following hip fracture surgery: Evaluation of six risk prediction models
    • Karres J, Heesakkers NA, Ultee JM, Vrouenraets BC. Predicting 30-day mortality following hip fracture surgery: evaluation of six risk prediction models. Injury 2015;46:371-377.
    • (2015) Injury , vol.46 , pp. 371-377
    • Karres, J.1    Heesakkers, N.A.2    Ultee, J.M.3    Vrouenraets, B.C.4
  • 6
    • 79952911444 scopus 로고    scopus 로고
    • Nottingham Hip Fracture Score as a predictor of one year mortality in patients undergoing surgical repair of fractured neck of femur
    • Wiles MD, Moran CG, Sahota O, Moppett IK. Nottingham Hip Fracture Score as a predictor of one year mortality in patients undergoing surgical repair of fractured neck of femur. Br J Anaesth 2011;106:501-504.
    • (2011) Br J Anaesth , vol.106 , pp. 501-504
    • Wiles, M.D.1    Moran, C.G.2    Sahota, O.3    Moppett, I.K.4
  • 7
    • 51849092245 scopus 로고    scopus 로고
    • Development and validation of a preoperative scoring system to predict 30 day mortality in patients undergoing hip fracture surgery
    • 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.
    • (2008) Br J Anaesth , vol.101 , pp. 511-517
    • Maxwell, M.J.1    Moran, C.G.2    Moppett, I.K.3
  • 8
    • 84866389257 scopus 로고    scopus 로고
    • Nottingham Hip Fracture Score: Longitudinal and multi-centre assessment
    • Moppett IK, Parker M, Griffiths R, et al. Nottingham Hip Fracture Score: longitudinal and multi-centre assessment. Br J Anaesth 2012;109:546-550.
    • (2012) Br J Anaesth , vol.109 , pp. 546-550
    • Moppett, I.K.1    Parker, M.2    Griffiths, R.3
  • 9
    • 84958110653 scopus 로고    scopus 로고
    • No authors listed. (date last accessed 28 June 2017)
    • No authors listed. National Hip Fracture Database, Annual Report 2015. http://www.nhfd.co.uk/nhfd/nhfd2015reportPR1.pdf (date last accessed 28 June 2017).
    • (2015) National Hip Fracture Database, Annual Report
  • 10
    • 84925229430 scopus 로고    scopus 로고
    • Independent validation of the Nottingham Hip Fracture Score and identification of regional variation in patient risk within England
    • Rushton PRP, Reed MR, Pratt RK. Independent validation of the Nottingham Hip Fracture Score and identification of regional variation in patient risk within England. Bone Joint J 2015;97-B:100-103.
    • (2015) Bone Joint J , vol.97 B , pp. 100-103
    • Rushton, P.R.P.1    Reed, M.R.2    Pratt, R.K.3
  • 11
    • 84979713558 scopus 로고    scopus 로고
    • Prediction of early mortality following hip fracture surgery in frail elderly: The Almelo Hip Fracture Score (AHFS)
    • Nijmeijer WS, Folbert EC, Vermeer M, Slaets JP, Hegeman JH. Prediction of early mortality following hip fracture surgery in frail elderly: The Almelo Hip Fracture Score (AHFS). Injury 2016;47:2138-2143.
    • (2016) Injury , vol.47 , pp. 2138-2143
    • Nijmeijer, W.S.1    Folbert, E.C.2    Vermeer, M.3    Slaets, J.P.4    Hegeman, J.H.5
  • 12
    • 84959544126 scopus 로고    scopus 로고
    • Prediction of 30-day mortality after hip fracture surgery by the Nottingham Hip Fracture Score and the Surgical Outcome Risk Tool
    • Marufu TC, White SM, Griffiths R, Moonesinghe SR, Moppett IK. Prediction of 30-day mortality after hip fracture surgery by the Nottingham Hip Fracture Score and the Surgical Outcome Risk Tool. Anaesthesia 2016;71:515-521.
    • (2016) Anaesthesia , vol.71 , pp. 515-521
    • Marufu, T.C.1    White, S.M.2    Griffiths, R.3    Moonesinghe, S.R.4    Moppett, I.K.5
  • 13
    • 84942984214 scopus 로고    scopus 로고
    • No authors listed. (date last accessed 28 June 2017)
    • No authors listed. National Hip Fracture Database, Annual Report 2014. http://www.nhfd.co.uk/nhfd/nhfd2015reportPR1.pdf (date last accessed 28 June 2017).
    • (2014) National Hip Fracture Database, Annual Report
  • 14
    • 84900416132 scopus 로고    scopus 로고
    • No authors listed. (date last accessed 28 June 2017)
    • No authors listed. Anaesthesia Sprint Audit of Practice 2014. https://www.aagbi.org/ (date last accessed 28 June 2017).
    • (2014) Anaesthesia Sprint Audit of Practice
  • 15
    • 0034728356 scopus 로고    scopus 로고
    • What do we mean by validating a prognostic model?
    • Altman DG, Royston P. What do we mean by validating a prognostic model? Stat Med2000;19:453-473.
    • Stat Med2000 , vol.19 , pp. 453-473
    • Altman, D.G.1    Royston, P.2
  • 16
    • 67650045441 scopus 로고    scopus 로고
    • Prognosis and prognostic research: Developing a prognostic model
    • Royston P, Moons KG, Altman DG, Vergouwe Y. Prognosis and prognostic research: Developing a prognostic model. BMJ 2009;338:b604.
    • (2009) BMJ , vol.338 , pp. b604
    • Royston, P.1    Moons, K.G.2    Altman, D.G.3    Vergouwe, Y.4
  • 18
    • 0023890867 scopus 로고
    • Measuring the accuracy of diagnostic systems
    • Swets JA. Measuring the accuracy of diagnostic systems. Science 1988;240: 1285-1293.
    • (1988) Science , vol.240 , pp. 1285-1293
    • Swets, J.A.1
  • 19
    • 0020063002 scopus 로고
    • A review of goodness of fit statistics for use in the development of logistic regression models
    • 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.
    • (1982) Am J Epidemiol , vol.115 , pp. 92-106
    • Lemeshow, S.1    Hosmer, D.W.2
  • 20
    • 78651256743 scopus 로고    scopus 로고
    • Multiple imputation using chained equations: Issues and guidance for practice
    • White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med 2011;30:377-399.
    • (2011) Stat Med , vol.30 , pp. 377-399
    • White, I.R.1    Royston, P.2    Wood, A.M.3
  • 21
    • 84905059618 scopus 로고    scopus 로고
    • No authors listed. (date last accessed 28 June 2017)
    • No authors listed. National Hip Fracture Database, National Report 2013. http://www.nhfd.co.uk/20/hipfractureR.nsf/0/ CA920122A244F2ED802579C900553993/$file/NHFD%20Report%202013.pdf (date last accessed 28 June 2017).
    • (2013) National Hip Fracture Database, National Report
  • 22
    • 77249126457 scopus 로고    scopus 로고
    • Comparison of techniques for handling missing covariate data within prognostic modelling studies: A simulation study
    • Marshall A, Altman DG, Royston P, Holder RL. Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study. BMC Med Res Methodol 2010;10:7.
    • (2010) BMC Med Res Methodol , vol.10 , pp. 7
    • Marshall, A.1    Altman, D.G.2    Royston, P.3    Holder, R.L.4
  • 23
    • 84903193364 scopus 로고    scopus 로고
    • Pre-operative indicators for mortality following hip fracture surgery: A systematic review and meta-analysis
    • Smith T, Pelpola K, Ball M, Ong A, Myint PK. Pre-operative indicators for mortality following hip fracture surgery: a systematic review and meta-analysis. Age Ageing 2014;43:464-471.
    • (2014) Age Ageing , vol.43 , pp. 464-471
    • Smith, T.1    Pelpola, K.2    Ball, M.3    Ong, A.4    Myint, P.K.5
  • 24
    • 84957899523 scopus 로고    scopus 로고
    • Is the incidence of hip fracture increasing among older men in England?
    • Neuburger J, Wakeman R. Is the incidence of hip fracture increasing among older men in England? J Epidemiol Community Health 2016;70:1049-1050.
    • (2016) J Epidemiol Community Health , vol.70 , pp. 1049-1050
    • Neuburger, J.1    Wakeman, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.