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Items: 1 to 20 of 129

1.

Mortality prediction after kidney transplantation: comparative clinical use of 7 comorbidity indices.

Moore J, He X, Liu X, Shabir S, Ball S, Cockwell P, Inston N, Little MA, Johnston A, Borrows R.

Exp Clin Transplant. 2011 Feb;9(1):32-41.

2.

Predicting 1 year mortality in an outpatient haemodialysis population: a comparison of comorbidity instruments.

Miskulin DC, Martin AA, Brown R, Fink NE, Coresh J, Powe NR, Zager PG, Meyer KB, Levey AS; Medical Directors, Dialysis Clinic, Inc.

Nephrol Dial Transplant. 2004 Feb;19(2):413-20.

PMID:
14736967
3.

A new prognostic index for one-year survival in incident hemodialysis patients.

Marinovich S, Lavorato C, Moriñigo C, Celia E, Bisignano L, Soratti M, Hansen-Krogh D.

Int J Artif Organs. 2010 Oct;33(10):689-99.

PMID:
21058267
4.

Comparative performance of comorbidity indices for estimating perioperative and 5-year all cause mortality following radical cystectomy for bladder cancer.

Boorjian SA, Kim SP, Tollefson MK, Carrasco A, Cheville JC, Thompson RH, Thapa P, Frank I.

J Urol. 2013 Jul;190(1):55-60. doi: 10.1016/j.juro.2013.01.010. Epub 2013 Jan 9.

PMID:
23313198
5.

Baseline comorbidity in kidney transplant recipients: a comparison of comorbidity indices.

Jassal SV, Schaubel DE, Fenton SS.

Am J Kidney Dis. 2005 Jul;46(1):136-42.

PMID:
15983967
6.

The Elixhauser comorbidity method outperforms the Charlson index in predicting inpatient death after orthopaedic surgery.

Menendez ME, Neuhaus V, van Dijk CN, Ring D.

Clin Orthop Relat Res. 2014 Sep;472(9):2878-86. doi: 10.1007/s11999-014-3686-7. Epub 2014 May 28.

7.

Predicting 30-day mortality following hip fracture surgery: evaluation of six risk prediction models.

Karres J, Heesakkers NA, Ultee JM, Vrouenraets BC.

Injury. 2015 Feb;46(2):371-7. doi: 10.1016/j.injury.2014.11.004. Epub 2014 Nov 15.

PMID:
25464983
8.

Clinical assessment of mortality risk in renal transplant candidates in Spain.

Hernández D, de la Nuez PC, Muriel A, Ruiz-Esteban P, González-Molina M, Burgos D, Cabello M, Luengo S, Palma E, Ruda E, Gutiérrez E, Vozmediano C, Torres A, Alonso M.

Transplantation. 2014 Sep 27;98(6):653-9. doi: 10.1097/TP.0000000000000141.

PMID:
24879382
9.
10.

Clinical outcomes in elderly kidney transplant recipients are related to acute rejection episodes rather than pretransplant comorbidity.

Heldal K, Hartmann A, Leivestad T, Svendsen MV, Foss A, Lien B, Midtvedt K.

Transplantation. 2009 Apr 15;87(7):1045-51. doi: 10.1097/TP.0b013e31819cdddd.

PMID:
19352126
11.

A High Comorbidity Score Should Not be a Contraindication for Kidney Transplantation.

Laging M, Kal-van Gestel JA, van de Wetering J, IJzermans JN, Betjes MG, Weimar W, Roodnat JI.

Transplantation. 2016 Feb;100(2):400-6. doi: 10.1097/TP.0000000000000973.

PMID:
26516673
12.

Which score system can best predict recipient outcomes after living donor liver transplantation?

Chung IS, Park M, Ko JS, Gwak MS, Kim GS, Lee SK.

Transplant Proc. 2012 Mar;44(2):393-5. doi: 10.1016/j.transproceed.2012.01.064.

PMID:
22410025
13.

Predictive value of the Charlson comorbidity index in kidney transplantation.

Grosso G, Corona D, Mistretta A, Zerbo D, Sinagra N, Giaquinta A, Tallarita T, Ekser B, Leonardi A, Gula R, Veroux P, Veroux M.

Transplant Proc. 2012 Sep;44(7):1859-63. doi: 10.1016/j.transproceed.2012.06.042.

PMID:
22974856
14.

Prognostic capability of different liver disease scoring systems for prediction of early mortality after transjugular intrahepatic portosystemic shunt creation.

Gaba RC, Couture PM, Bui JT, Knuttinen MG, Walzer NM, Kallwitz ER, Berkes JL, Cotler SJ.

J Vasc Interv Radiol. 2013 Mar;24(3):411-20, 420.e1-4; quiz 421. doi: 10.1016/j.jvir.2012.10.026. Epub 2013 Jan 9.

PMID:
23312989
15.

Effects of cardiovascular comorbidity adjustment on SRTR risk-adjusted cox proportional hazard models of graft survival.

Pelletier RP, Phillips GS, Rajab A, Pesavento TE, Henry ML.

Transplantation. 2014 Mar 27;97(6):686-93. doi: 10.1097/01.TP.0000437181.95701.32.

PMID:
24637867
16.

Using the age-adjusted Charlson comorbidity index to predict outcomes in emergency general surgery.

St-Louis E, Iqbal S, Feldman LS, Sudarshan M, Deckelbaum DL, Razek TS, Khwaja K.

J Trauma Acute Care Surg. 2015 Feb;78(2):318-23. doi: 10.1097/TA.0000000000000457.

PMID:
25757117
17.

Is SAPS 3 better than APACHE II at predicting mortality in critically ill transplant patients?

Oliveira VM, Brauner JS, Rodrigues Filho E, Susin RG, Draghetti V, Bolzan ST, Vieira SR.

Clinics (Sao Paulo). 2013;68(2):153-8.

18.

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;15:55. doi: 10.1186/s12911-015-0175-1.

19.

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 1;40(11):809-15. doi: 10.1097/BRS.0000000000000892.

PMID:
25785957
20.

Weighted versus unweighted Charlson score to predict long-term other-cause mortality in men with early-stage prostate cancer.

Daskivich TJ, Kwan L, Dash A, Greenfield S, Litwin MS.

Eur Urol. 2014 Dec;66(6):1002-9. doi: 10.1016/j.eururo.2014.05.029. Epub 2014 Jun 9.

PMID:
24924554

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