2222 related articles for article (PubMed ID: 21330339)
1. Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries.
Quan H; Li B; Couris CM; Fushimi K; Graham P; Hider P; Januel JM; Sundararajan V
Am J Epidemiol; 2011 Mar; 173(6):676-82. PubMed ID: 21330339
[TBL] [Abstract][Full Text] [Related]
2. Developing an adapted Charlson comorbidity index for ischemic stroke outcome studies.
Hall RE; Porter J; Quan H; Reeves MJ
BMC Health Serv Res; 2019 Dec; 19(1):930. PubMed ID: 31796024
[TBL] [Abstract][Full Text] [Related]
3. 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. PubMed ID: 12187181
[TBL] [Abstract][Full Text] [Related]
4. Implementation of ICD-10 in Canada: how has it impacted coded hospital discharge data?
Walker RL; Hennessy DA; Johansen H; Sambell C; Lix L; Quan H
BMC Health Serv Res; 2012 Jun; 12():149. PubMed ID: 22682405
[TBL] [Abstract][Full Text] [Related]
5. 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. PubMed ID: 15908856
[TBL] [Abstract][Full Text] [Related]
6. Development and testing of a systemic lupus-specific risk adjustment index for in-hospital mortality.
Ward MM
J Rheumatol; 2000 Jun; 27(6):1408-13. PubMed ID: 10852262
[TBL] [Abstract][Full Text] [Related]
7. The Australian Injury Comorbidity Index to Predict Mortality.
Fernando DT; Berecki-Gisolf J; Newstead S; Ansari Z
Ann Emerg Med; 2020 Mar; 75(3):339-353. PubMed ID: 31955941
[TBL] [Abstract][Full Text] [Related]
8. The Best Use of the Charlson Comorbidity Index With Electronic Health Care Database to Predict Mortality.
Bannay A; Chaignot C; Blotière PO; Basson M; Weill A; Ricordeau P; Alla F
Med Care; 2016 Feb; 54(2):188-94. PubMed ID: 26683778
[TBL] [Abstract][Full Text] [Related]
9. Development of an epilepsy-specific risk adjustment comorbidity index.
St Germaine-Smith C; Liu M; Quan H; Wiebe S; Jette N
Epilepsia; 2011 Dec; 52(12):2161-7. PubMed ID: 22004000
[TBL] [Abstract][Full Text] [Related]
10. A systematic review of the Charlson comorbidity index using Canadian administrative databases: a perspective on risk adjustment in critical care research.
Needham DM; Scales DC; Laupacis A; Pronovost PJ
J Crit Care; 2005 Mar; 20(1):12-9. PubMed ID: 16015512
[TBL] [Abstract][Full Text] [Related]
11. Adapting the Charlson Comorbidity Index for use in patients with ESRD.
Hemmelgarn BR; Manns BJ; Quan H; Ghali WA
Am J Kidney Dis; 2003 Jul; 42(1):125-32. PubMed ID: 12830464
[TBL] [Abstract][Full Text] [Related]
12. 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; 8():12. PubMed ID: 18194561
[TBL] [Abstract][Full Text] [Related]
13. Comparison of the Elixhauser and Charlson/Deyo methods of comorbidity measurement in administrative data.
Southern DA; Quan H; Ghali WA
Med Care; 2004 Apr; 42(4):355-60. PubMed ID: 15076812
[TBL] [Abstract][Full Text] [Related]
14. 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. PubMed ID: 9794342
[TBL] [Abstract][Full Text] [Related]
15. Cross-national comparative performance of three versions of the ICD-10 Charlson index.
Sundararajan V; Quan H; Halfon P; Fushimi K; Luthi JC; Burnand B; Ghali WA;
Med Care; 2007 Dec; 45(12):1210-5. PubMed ID: 18007172
[TBL] [Abstract][Full Text] [Related]
16. Comparing Charlson and Elixhauser comorbidity indices with different weightings to predict in-hospital mortality: an analysis of national inpatient data.
Sharma N; Schwendimann R; Endrich O; Ausserhofer D; Simon M
BMC Health Serv Res; 2021 Jan; 21(1):13. PubMed ID: 33407455
[TBL] [Abstract][Full Text] [Related]
17. 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. PubMed ID: 16224307
[TBL] [Abstract][Full Text] [Related]
18. Predicting In-Hospital Mortality in Elderly Patients With Cervical Spine Fractures: A Comparison of the Charlson and Elixhauser Comorbidity Measures.
Menendez ME; Ring D; Harris MB; Cha TD
Spine (Phila Pa 1976); 2015 Jun; 40(11):809-15. PubMed ID: 25785957
[TBL] [Abstract][Full Text] [Related]
19. Assessing measures of comorbidity and functional status for risk adjustment to compare hospital performance for colorectal cancer surgery: a retrospective data-linkage study.
Dobbins TA; Badgery-Parker T; Currow DC; Young JM
BMC Med Inform Decis Mak; 2015 Jul; 15():55. PubMed ID: 26174550
[TBL] [Abstract][Full Text] [Related]
20. Categorized diagnoses and procedure records in an administrative database improved mortality prediction.
Yamana H; Matsui H; Sasabuchi Y; Fushimi K; Yasunaga H
J Clin Epidemiol; 2015 Sep; 68(9):1028-35. PubMed ID: 25596112
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
