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Items: 1 to 20 of 108

2.

Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a general adult population cohort in Ontario, Canada.

Austin PC, van Walraven C, Wodchis WP, Newman A, Anderson GM.

Med Care. 2011 Oct;49(10):932-9. doi: 10.1097/MLR.0b013e318215d5e2.

3.

Using the Johns Hopkins' Aggregated Diagnosis Groups (ADGs) to predict 1-year mortality in population-based cohorts of patients with diabetes in Ontario, Canada.

Austin PC, Shah BR, Newman A, Anderson GM.

Diabet Med. 2012 Sep;29(9):1134-41. doi: 10.1111/j.1464-5491.2011.03568.x.

4.

Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a population-based cohort of adults with schizophrenia in Ontario, Canada.

Austin PC, Newman A, Kurdyak PA.

Psychiatry Res. 2012 Mar 30;196(1):32-7. doi: 10.1016/j.psychres.2011.09.023. Epub 2012 Feb 25.

PMID:
22364931
5.

Comparative ability of comorbidity classification methods for administrative data to predict outcomes in patients with chronic obstructive pulmonary disease.

Austin PC, Stanbrook MB, Anderson GM, Newman A, Gershon AS.

Ann Epidemiol. 2012 Dec;22(12):881-7. doi: 10.1016/j.annepidem.2012.09.011. Epub 2012 Oct 31.

6.

Comparison of comorbidity classification methods for predicting outcomes in a population-based cohort of adults with human immunodeficiency virus infection.

Antoniou T, Ng R, Glazier RH, Kopp A, Austin PC.

Ann Epidemiol. 2014 Jul;24(7):532-7. doi: 10.1016/j.annepidem.2014.04.002. Epub 2014 Apr 18.

PMID:
24837611
7.

Outcome of nursing home-acquired pneumonia: derivation and application of a practical model to predict 30 day mortality.

Naughton BJ, Mylotte JM, Tayara A.

J Am Geriatr Soc. 2000 Oct;48(10):1292-9.

PMID:
11037018
8.

Comparison of Rx-defined morbidity groups and diagnosis- based risk adjusters for predicting healthcare costs in Taiwan.

Kuo RN, Lai MS.

BMC Health Serv Res. 2010 May 17;10:126. doi: 10.1186/1472-6963-10-126.

9.

Derivation and validation of in-hospital mortality prediction models in ischaemic stroke patients using administrative data.

Lee J, Morishima T, Kunisawa S, Sasaki N, Otsubo T, Ikai H, Imanaka Y.

Cerebrovasc Dis. 2013;35(1):73-80. doi: 10.1159/000346090. Epub 2013 Feb 14.

PMID:
23429000
10.

External validation of the Hospital-patient One-year Mortality Risk (HOMR) model for predicting death within 1 year after hospital admission.

van Walraven C, McAlister FA, Bakal JA, Hawken S, Donzé J.

CMAJ. 2015 Jul 14;187(10):725-33. doi: 10.1503/cmaj.150209. Epub 2015 Jun 8.

11.

Development and validation of a predictive model for all-cause hospital readmissions in Winnipeg, Canada.

Cui Y, Metge C, Ye X, Moffatt M, Oppenheimer L, Forget EL.

J Health Serv Res Policy. 2015 Apr;20(2):83-91. doi: 10.1177/1355819614565498. Epub 2015 Jan 8.

PMID:
25575499
12.

The Cooper Clinic Mortality Risk Index: clinical score sheet for men.

Janssen I, Katzmarzyk PT, Church TS, Blair SN.

Am J Prev Med. 2005 Oct;29(3):194-203.

PMID:
16168868
13.

Improved comorbidity adjustment for predicting mortality in Medicare populations.

Schneeweiss S, Wang PS, Avorn J, Glynn RJ.

Health Serv Res. 2003 Aug;38(4):1103-20.

14.
15.

Perioperative Respiratory Adverse Events in Pediatric Ambulatory Anesthesia: Development and Validation of a Risk Prediction Tool.

Subramanyam R, Yeramaneni S, Hossain MM, Anneken AM, Varughese AM.

Anesth Analg. 2016 May;122(5):1578-85. doi: 10.1213/ANE.0000000000001216.

PMID:
27101501
16.

A Simple and Powerful Risk-Adjustment Tool for 30-day Mortality Among Inpatients.

Tremblay D, Arnsten JH, Southern WN.

Qual Manag Health Care. 2016 Jul-Sep;25(3):123-8. doi: 10.1097/QMH.0000000000000096.

PMID:
27367212
17.

Derivation and Validation of the Surgical Site Infections Risk Model Using Health Administrative Data.

van Walraven C, Jackson TD, Daneman N.

Infect Control Hosp Epidemiol. 2016 Apr;37(4):455-65. doi: 10.1017/ice.2015.327. Epub 2016 Jan 20.

PMID:
26785686
18.

Development and validation of a model that uses enhanced administrative data to predict mortality in patients with sepsis.

Lagu T, Lindenauer PK, Rothberg MB, Nathanson BH, Pekow PS, Steingrub JS, Higgins TL.

Crit Care Med. 2011 Nov;39(11):2425-30. doi: 10.1097/CCM.0b013e31822572e3.

PMID:
22005222
19.

Revised trauma scoring system to predict in-hospital mortality in the emergency department: Glasgow Coma Scale, Age, and Systolic Blood Pressure score.

Kondo Y, Abe T, Kohshi K, Tokuda Y, Cook EF, Kukita I.

Crit Care. 2011 Aug 10;15(4):R191. doi: 10.1186/cc10348.

20.

A novel risk score that incorporates recipient and donor variables to predict 1-year mortality in the current era of lung transplantation.

Grimm JC, Valero V 3rd, Magruder JT, Kilic A, Dungan SP, Silhan LL, Shah PD, Kim BS, Merlo CA, Sciortino CM, Shah AS.

J Heart Lung Transplant. 2015 Nov;34(11):1449-54. doi: 10.1016/j.healun.2015.07.001. Epub 2015 Jul 22.

PMID:
26275639

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