LACE+ index: Extension of a validated index to predict early death or urgent readmission after hospital discharge using administrative data

Open Medicine

Volumn 6, Issue 2, 2012, Pages 1-11

  van Walraven, Carl ^a,b,c   Wong, Jenna ^a,b   Forster, Alan J ^a,b,c  

^a OTTAWA HOSPITAL RESEARCH INSTITUTE   (Canada)

^b INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

^c UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84864301937     PISSN: None     EISSN: 19112092     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Bottle A, Aylin P, Majeed A. Identifying patients at high risk of emergency hospital admissions: a logistic regression analysis. J R Soc Med 2006;99(8):406-414.
2. Billings J, Dixon J, Mijanovich T, Wennberg D. Case finding for patients at risk of readmission to hospital: development of algorithm to identify high risk patients. BMJ 2006;333(7653):327.
3. Hasan O, Meltzer DO, Shaykevich SA, Bell CM, Kaboli PJ, Auerbach AD, et al. Hospital readmission in general medicine patients: a prediction model. J Gen Intern Med 2010;25(3):211-219.
4. van Walraven C, Dhalla IA, Bell CM, Etchells E, Stiell IG, Zarnke K, et al. Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community. CMAJ 2010;182(6):551-557.
5. Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 2005;43(11):1130-1139.
6. van Walraven C, Wong J, Forster AJ. Derivation and validation of a diagnostic score based on case-mix groups to predict 30-day death or urgent readmission. Open Med 2012;6(3)80-89.
7. Scales DC, Guan J, Martin CM, Redelmeier DA. Administrative data accurately identified intensive care unit admissions in Ontario. J Clin Epidemiol 2006;59(8):802-807.
8. Sauerbrei W, Royston P. Building multivariable prognostic and diagnostic models: transformation of the predictors by using fractional polynomials. J R Stat Soc Ser A 1999;162(1):71-94.
9. Sullivan LM, Massaro JM, D'Agostino RB Sr. Presentation of multivariate data for clinical use: the Framingham Study risk score functions. Stat Med 2004;23(10):1631-1660.
10. Gonen M. Single continuous predictor. In: Analyzing receiver operating characteristic curves with SAS. Cary (NC): SAS Institute Inc.; 2007. p. 15-36.
11. Hosmer DW, Hosmer T, Le Cessie S, Lemeshow S. A comparison of goodness-of-fit tests for the logistic regression model. Stat Med 1997;16(9):965-980.
12. Daly L. Simple SAS macros for the calculation of exact binomial and Poisson confidence limits. Comput Biol Med 1992;22(5):351-361.
13. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27(2):157-172.
14. Pencina MJ, D'Agostino RB Sr, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 2011;30(1):11-21.
15. Kramer AA, Zimmerman JE. Assessing the calibration of mortality benchmarks in critical care: the Hosmer-Lemeshow test revisited. Crit Care Med 2007;35(9):2052-2056.