Literature DB >> 27003820

Impact of comorbidity on outcome in kidney transplant recipients: a retrospective study in Italy.

Fabio Fabbian1, Alfredo De Giorgi2, Fabio Manfredini3, Nicola Lamberti3, Silvia Forcellini4, Alda Storari4, Paola Todeschini5, Massimo Gallerani6, Gaetano La Manna5, Dimitri P Mikhailidis7, Roberto Manfredini2.   

Abstract

The aim of this study was to relate in-hospital mortality (IHM), cardiovascular events (CVEs) and non-immunologic comorbidity evaluated on the basis of International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codification, in Italian kidney transplant recipients (KTRs). We evaluated IHM and admissions due to CVEs between 2000 and 2013 recorded in the database of the region Emilia Romagna. The Elixhauser score was calculated for evaluation of non-immunologic comorbidity. Three main outcomes (i.e. IHM, admission due to major CVEs and combined outcome) were the dependent variables of the multivariate models, while age, gender and Elixhauser score were the independent ones. During the examined period, a total of 9063 admissions in 3648 KTRs were recorded; 1945 patients were males (53.3 %) and 1703 females (46.7 %) and the mean age was 52.9 ± 13.1 years. The non-immunological impaired status of the KTRs, examined by the Elixhauser score, was 3.88 ± 4.29. During the 14-year follow-up period, IHM for any cause was 3.2 % (n = 117), and admissions due to CVEs were 527 (5.8 %). Age and comorbidity were independently associated with CVEs, IHM and the combined outcome. Male gender was independently associated with IHM and combined outcome, but not with CVEs. Evaluation of non-immunological comorbidity is important in KTRs and identification of high-risk patients for major clinical events could improve outcome. Moreover, comorbidity could be even more important in chronic kidney disease patients who are waiting for a kidney transplant.

Entities:  

Keywords:  Cardiovascular events; Comorbidity; Elixhauser score; ICD-9-CM; In-hospital mortality; Renal transplantation

Mesh:

Year:  2016        PMID: 27003820     DOI: 10.1007/s11739-016-1438-2

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   3.397


  45 in total

1.  Cardiovascular disease and chronic renal disease: a new paradigm.

Authors:  M J Sarnak; A S Levey
Journal:  Am J Kidney Dis       Date:  2000-04       Impact factor: 8.860

Review 2.  Cardiovascular risk factors following renal transplant.

Authors:  Jill Neale; Alice C Smith
Journal:  World J Transplant       Date:  2015-12-24

3.  A combined comorbidity score predicted mortality in elderly patients better than existing scores.

Authors:  Joshua J Gagne; Robert J Glynn; Jerry Avorn; Raisa Levin; Sebastian Schneeweiss
Journal:  J Clin Epidemiol       Date:  2011-01-05       Impact factor: 6.437

4.  Comorbid conditions in kidney transplantation: association with graft and patient survival.

Authors:  Christine Wu; Idris Evans; Raymond Joseph; Ron Shapiro; Henkie Tan; Amit Basu; Cynthia Smetanka; Ahktar Khan; Jerry McCauley; Mark Unruh
Journal:  J Am Soc Nephrol       Date:  2005-09-21       Impact factor: 10.121

5.  Hospital utilization and consequences of readmissions after liver transplantation.

Authors:  Flavio Paterno; Gregory C Wilson; Koffi Wima; Ralph C Quillin; Daniel E Abbott; Madison C Cuffy; Tayyab S Diwan; Tiffany Kaiser; E Steve Woodle; Shimul A Shah
Journal:  Surgery       Date:  2014-10       Impact factor: 3.982

6.  In-hospital mortality for pulmonary embolism: relationship with chronic kidney disease and end-stage renal disease. The hospital admission and discharge database of the Emilia Romagna region of Italy.

Authors:  Fabio Fabbian; Massimo Gallerani; Marco Pala; Alfredo De Giorgi; Raffaella Salmi; Fabio Manfredini; Francesco Portaluppi; Francesco Dentali; Walter Ageno; Dimitri P Mikhailidis; Roberto Manfredini
Journal:  Intern Emerg Med       Date:  2012-12-18       Impact factor: 3.397

7.  Age and comorbidities are effect modifiers of gender disparities in renal transplantation.

Authors:  Dorry L Segev; Lauren M Kucirka; Pooja C Oberai; Rulan S Parekh; L Ebony Boulware; Neil R Powe; Robert A Montgomery
Journal:  J Am Soc Nephrol       Date:  2009-01-07       Impact factor: 10.121

8.  Course of left ventricular hypertrophy and function in end-stage renal disease after renal transplantation.

Authors:  J Hüting
Journal:  Am J Cardiol       Date:  1992-12-01       Impact factor: 2.778

9.  Impact of renal transplantation on uremic cardiomyopathy.

Authors:  P S Parfrey; J D Harnett; R N Foley; G M Kent; D C Murray; P E Barre; R D Guttmann
Journal:  Transplantation       Date:  1995-11-15       Impact factor: 4.939

Review 10.  Risk prediction models to predict emergency hospital admission in community-dwelling adults: a systematic review.

Authors:  Emma Wallace; Ellen Stuart; Niall Vaughan; Kathleen Bennett; Tom Fahey; Susan M Smith
Journal:  Med Care       Date:  2014-08       Impact factor: 2.983

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  2 in total

1.  Preoperative Factors Predicting Admission to the Intensive Care Unit After Kidney Transplantation.

Authors:  Nitin Abrol; Rahul Kashyap; Ryan D Frank; Vivek N Iyer; Patrick G Dean; Mark D Stegall; Mikel Prieto; Kianoush B Kashani; Timucin Taner
Journal:  Mayo Clin Proc Innov Qual Outcomes       Date:  2019-08-23

2.  Validation and Comparison of a Modified Elixhauser Index for Predicting In-Hospital Mortality in Italian Internal Medicine Wards.

Authors:  Alfredo De Giorgi; Emanuele Di Simone; Rosaria Cappadona; Benedetta Boari; Caterina Savriè; Pablo J López-Soto; María A Rodríguez-Borrego; Massimo Gallerani; Roberto Manfredini; Fabio Fabbian
Journal:  Risk Manag Healthc Policy       Date:  2020-05-20
  2 in total

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