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Items: 1 to 20 of 236

1.

Comparison of coding of heart failure and comorbidities in administrative and clinical data for use in outcomes research.

Lee DS, Donovan L, Austin PC, Gong Y, Liu PP, Rouleau JL, Tu JV.

Med Care. 2005 Feb;43(2):182-8.

PMID:
15655432
2.

Validity of information on comorbidity derived rom ICD-9-CCM administrative data.

Quan H, Parsons GA, Ghali WA.

Med Care. 2002 Aug;40(8):675-85.

PMID:
12187181
3.

Stroke: the Elixhauser Index for comorbidity adjustment of in-hospital case fatality.

Zhu H, Hill MD.

Neurology. 2008 Jul 22;71(4):283-7. doi: 10.1212/01.wnl.0000318278.41347.94.

PMID:
18645167
4.

Prognosis and determinants of survival in patients newly hospitalized for heart failure: a population-based study.

Jong P, Vowinckel E, Liu PP, Gong Y, Tu JV.

Arch Intern Med. 2002 Aug 12-26;162(15):1689-94.

PMID:
12153371
5.

Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases.

Li B, Evans D, Faris P, Dean S, Quan H.

BMC Health Serv Res. 2008 Jan 14;8:12. doi: 10.1186/1472-6963-8-12.

6.

Mortality after cardiac bypass surgery: prediction from administrative versus clinical data.

Geraci JM, Johnson ML, Gordon HS, Petersen NJ, Shroyer AL, Grover FL, Wray NP.

Med Care. 2005 Feb;43(2):149-58.

PMID:
15655428
7.

Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA.

Med Care. 2005 Nov;43(11):1130-9.

PMID:
16224307
8.

Mortality after noncardiac surgery: prediction from administrative versus clinical data.

Gordon HS, Johnson ML, Wray NP, Petersen NJ, Henderson WG, Khuri SF, Geraci JM.

Med Care. 2005 Feb;43(2):159-67.

PMID:
15655429
9.

A new casemix adjustment index for hospital mortality among patients with congestive heart failure.

Polanczyk CA, Rohde LE, Philbin EA, Di Salvo TG.

Med Care. 1998 Oct;36(10):1489-99.

PMID:
9794342
11.
12.

Congestive heart failure in the United States: is there more than meets the I(CD code)? The Corpus Christi Heart Project.

Goff DC Jr, Pandey DK, Chan FA, Ortiz C, Nichaman MZ.

Arch Intern Med. 2000 Jan 24;160(2):197-202.

PMID:
10647758
13.

Rural and urban outcomes after hospitalization for congestive heart failure in Alberta, Canada.

Jin Y, Quan H, Cujec B, Johnson D.

J Card Fail. 2003 Aug;9(4):278-85.

PMID:
13680548
14.

Effect of pulmonary hypertension on clinical outcomes in advanced heart failure: analysis of the Evaluation Study of Congestive Heart Failure and Pulmonary Artery Catheterization Effectiveness (ESCAPE) database.

Khush KK, Tasissa G, Butler J, McGlothlin D, De Marco T; ESCAPE Investigators.

Am Heart J. 2009 Jun;157(6):1026-34. doi: 10.1016/j.ahj.2009.02.022. Epub 2009 Apr 23.

PMID:
19464413
15.
16.

[Quality of medical database to valorize the DRG model by ISA cost indicators].

Holstein J, Taright N, Lepage E, Razafimamonjy J, Duboc D, Feldman L, Hittinger L, Lavergne T, Chatellier G.

Rev Epidemiol Sante Publique. 2002 Dec;50(6):593-603. French.

PMID:
12515929
17.

Use of a self-report-generated Charlson Comorbidity Index for predicting mortality.

Chaudhry S, Jin L, Meltzer D.

Med Care. 2005 Jun;43(6):607-15.

PMID:
15908856
18.
19.

Characteristics and outcomes of patients hospitalized for heart failure in the United States: rationale, design, and preliminary observations from the first 100,000 cases in the Acute Decompensated Heart Failure National Registry (ADHERE).

Adams KF Jr, Fonarow GC, Emerman CL, LeJemtel TH, Costanzo MR, Abraham WT, Berkowitz RL, Galvao M, Horton DP; ADHERE Scientific Advisory Committee and Investigators.

Am Heart J. 2005 Feb;149(2):209-16.

PMID:
15846257
20.

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