195
Views
2
CrossRef citations to date
0
Altmetric
Original Research

Prediction Ability of Charlson, Elixhauser, and Rx-Risk Comorbidity Indices for Mortality in Patients with Hip Fracture. A Danish Population-Based Cohort Study from 2014 – 2018

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 275-287 | Published online: 08 Mar 2022

References

  • Pedersen AB, Ehrenstein V, Szépligeti SK, et al. Thirty-five – year trends in first-time hospitalization for hip fracture, 1-year mortality, and the prognostic impact of comorbidity: a Danish Nationwide Cohort Study. Epidemiology. 2017;28:898–905. doi:10.1097/EDE.0000000000000729
  • Lawrence VA, Hilsenbeck SG, Noveck H, Poses RM, Carson JL. Medical complications and outcomes after hip fracture repair. Arch Intern Med. 2002;162:2053–2057. doi:10.1001/archinte.162.18.2053
  • Beringer TRO. Mortality and morbidity after hip fractures. Br Med J. 1994;308:343. doi:10.1136/bmj.308.6924.343b
  • Cher EWL, Allen JC, Sen HT, Koh JSB. Comorbidity as the dominant predictor of mortality after hip fracture surgeries. Osteoporos Int. 2019;30:2477–2483. doi:10.1007/s00198-019-05139-8
  • Charlson ME, Pompei P, Ales KL. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–383. doi:10.1016/0021-9681(87)90171-8
  • Vesterager JD, Kristensen PK, Petersen I, Pedersen AB. Hospital variation in the risk of infection after hip fracture surgery: a population-based cohort study including 29,598 patients from 2012–2017. Acta Orthop. 2020;92:215–221. doi:10.1080/17453674.2020.1863688
  • Ondeck NT, Bovonratwet P, Ibe IK, et al. Discriminative ability for adverse outcomes after surgical management of hip fractures: a comparison of the Charlson comorbidity index, elixhauser comorbidity measure, and modified frailty index. J Orthop Trauma. 2018;32:231–237. doi:10.1097/BOT.0000000000001140
  • Bülow E, Cnudde P, Rogmark C, Rolfson O, Nemes S. Low predictive power of comorbidity indices identified for mortality after acute arthroplasty surgery undertaken for femoral neck fracture. Bone Jt J. 2019;101B:104–112. doi:10.1302/0301-620X.101B1.BJJ-2018-0894.R1
  • Elixhauser A, Steiner C, Harris DR. Comorbidity measures for use with administrative data. Med Care. 1998;36:8–27. doi:10.1097/00005650-199801000-00004
  • Bass E, French DD, Bradham DD, Rubenstein LZ. Risk-adjusted mortality rates of elderly veterans with hip fractures. Ann Epidemiol. 2007;17:514–519. doi:10.1016/j.annepidem.2006.12.004
  • Lu CY, Barratt J, Vitry A, Roughead E. Charlson and Rx-Risk comorbidity indices were predictive of mortality in the Australian health care setting. J Clin Epidemiol. 2011;64:223–228. doi:10.1016/j.jclinepi.2010.02.015
  • Johnson ML, El-Serag HB, Tran TT, Hartman C, Richardson P, Abraham NS. Adapting the Rx-Risk-V for mortality prediction in outpatient populations. Med Care. 2006;44:793–797. doi:10.1097/01.mlr.0000218804.41758.ef
  • Kristensen PK, Röck ND, Christensen HC. The Danish multidisciplinary hip fracture registry 13-year results from a population-based cohort of hip fracture patients. Clin Epidemiol. 2020;2020:9–21.
  • Steyerberg EW, Vickers AJ, Cook NR, et al. Assessing the performance of prediction models: a framework for some traditional and novel measures. Epidemiology. 2013;21:128–138. doi:10.1097/EDE.0b013e3181c30fb2
  • Schmidt M, Schmidt SAJ, Adelborg K, et al. The Danish health care system and epidemiological research: from health care contacts to database records. Clin Epidemiol. 2019;2019:563–591. doi:10.2147/CLEP.S179083
  • Schmidt M, Schmidt SA, Sandegaard JL, Ehrenstein V, Pedersen L. The Danish national patient registry: a review of content, data quality, and research potential. Clin Epidemiol. 2015;2015:449–490. doi:10.2147/CLEP.S91125
  • Pratt NL, Kerr M, Barratt JD, et al. The validity of the Rx-Risk comorbidity index using Medicines mapped to the Anatomical Therapeutic Chemical (ATC) classification system. BMJ Open. 2018;8:1–8. doi:10.1136/bmjopen-2017-021122
  • Wallach H, Sørensen H, Hallas J, Sørensen HT, Hallas J. The Danish national prescription registry. Scand J Public Health. 2011;39:38–41. doi:10.1177/1403494810394717
  • Hanley A, Mcneil J, Ph D. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143:29–36. doi:10.1148/radiology.143.1.7063747
  • Heagerty PJ, Zheng Y, Biometrics S, Mar N, Heagerty PJ. Survival model predictive accuracy and ROC curves published by: international biometric society stable. Biometrics. 2021;61:92–105.
  • Vandenbroucke JP, Von EE, Altman DG, et al. Strengthening the reporting of observational studies in epidemiology (STROBE): explanation and elaboration. PLoS Med. 2007;4:e297. doi:10.1371/journal.pmed.0040297
  • Ludvigsson JF, Håberg SE, Knudsen GP, Lafolie P, Zoega H. Ethical aspects of registry-based research in the Nordic countries. Clin Epidemiol. 2015;7:491–508. doi:10.2147/CLEP.S90589
  • Pottegård A, Christensen R, Houji A. Primary non-adherence in general practice: a Danish register study. Eur J Clin Pharmacol. 2014;70:757–763. doi:10.1007/s00228-014-1677-y
  • Kanis JA, Odén A, McCloskey EV, Johansson H, Wahl DA, Cooper C. A systematic review of hip fracture incidence and probability of fracture worldwide. Osteoporos Int. 2012;23:2239–2256. doi:10.1007/s00198-012-1964-3
  • Inacio MCS, Pratt NL, Roughead EE, Graves SE. Using medications for prediction of revision after total joint arthroplasty. J Arthroplasty. 2015;30:2061–2070. doi:10.1016/j.arth.2015.06.009
  • Inacio MCS, Pratt NL, Roughead EE, Graves SE. Evaluation of three co-morbidity measures to predict mortality in patients undergoing total joint arthroplasty. Osteoarthr Cartil. 2016;24:1718–1726. doi:10.1016/j.joca.2016.05.006
  • Cai M, Liu E, Zhang R, et al. Comparing the performance of Charlson and elixhauser comorbidity indices to predict in-hospital mortality among a Chinese population. Clin Epidemiol. 2020;12:307–316. doi:10.2147/CLEP.S241610
  • Li B, Evans D, Faris P, Dean S, Quan H. Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases. BMC Health Serv Res. 2008;8:1–7. doi:10.1186/1472-6963-8-12
  • Madsen M, Ehrenstein V, Sørensen HT. Length of comorbidity lookback period and predicting one-year mortality based on registry data from Denmark (abstract). Pharmacoepidemiol Drug Saf. 2015;24:392–393.
  • Kimura A, Matsumoto Y, Wakata Y, Oyamada A, Ohishi M, Fujiwara T. Predictive factors of mortality of patients with fragility hip fractures at 1 year after discharge: a multicenter, retrospective study in the northern Kyushu district of Japan. J Orthopaedic Surg. 2019;27:1–8.
  • 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. doi:10.1093/ageing/afu065
  • Schneeweiss S, Seeger JD, Maclure M, Wang PS, Avorn J, Robert J. Performance of comorbidity scores to control for confounding in epidemiologic studies using claims data. Am J Epidemiol. 2001;154:854–864. doi:10.1093/aje/154.9.854
  • Roche JJW, Wenn RT, Sahota O, Moran CG. Effect of comorbidities and postoperative complications on mortality study. BMJ. 2005;55:1–5.
  • Guzon-illescas O, Fernandez EP, Villarias NC, et al. Mortality after osteoporotic hip fracture: incidence, trends, and associated factors. J Orthop Surg Res. 2019;6:1–9.
  • Hu F, Jiang C, Shen J, Tang P, Wang Y. Preoperative predictors for mortality following hip fracture surgery: a systematic review and meta-analysis. Injury. 2012;43:676–685. doi:10.1016/j.injury.2011.05.017