Literature DB >> 26498295

Excess mortality attributable to chronic kidney disease. Results from the PIRP project.

Dino Gibertoni1, Marcora Mandreoli2, Paola Rucci3, Maria Pia Fantini3, Angelo Rigotti4, Roberto Scarpioni5, Antonio Santoro6.   

Abstract

Although chronic kidney disease (CKD) has a high mortality rate, the estimation of CKD mortality burden in the general population may be challenging because CKD is not always listed as a cause of death in mortality registries. To overcome this limitation, relative survival was used to estimate the excess mortality attributable to CKD as compared to the general population using data of patients registered in the Prevenzione Insufficienza Renale Progressiva (PIRP) registry since 2005 and were followed up until 2013. Relative survival was the ratio of survival observed in CKD patients to the expected survival of the general population. Multivariate parametric survival analysis was used to identify factors predicting excess mortality. The relative survival of CKD patients at 9 years was 0.708. Survival was significantly lower in CKD patients with cardiovascular comorbidities, proteinuria, diabetes, anemia and high phosphate levels and in advanced CKD stages, males, older patients and those who underwent dialysis. Relative survival is a viable method to determine mortality attributable to CKD. Study limitations are that patients are representative only of CKD patients followed by nephrologists and that our follow-up duration may be relatively short as a model for mortality.

Entities:  

Keywords:  CKD stage; Chronic kidney disease; Excess mortality; Pre-dialysis; Relative survival

Mesh:

Year:  2015        PMID: 26498295     DOI: 10.1007/s40620-015-0239-4

Source DB:  PubMed          Journal:  J Nephrol        ISSN: 1121-8428            Impact factor:   3.902


  26 in total

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3.  Survival in patients treated by long-term dialysis compared with the general population.

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4.  Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis.

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5.  Serum phosphate and mortality in patients with chronic kidney disease.

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6.  Correction of anemia with epoetin alfa in chronic kidney disease.

Authors:  Ajay K Singh; Lynda Szczech; Kezhen L Tang; Huiman Barnhart; Shelly Sapp; Marsha Wolfson; Donal Reddan
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7.  Relation between kidney function, proteinuria, and adverse outcomes.

Authors:  Brenda R Hemmelgarn; Braden J Manns; Anita Lloyd; Matthew T James; Scott Klarenbach; Robert R Quinn; Natasha Wiebe; Marcello Tonelli
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8.  A clinical stratification tool for chronic kidney disease progression rate based on classification tree analysis.

Authors:  Paola Rucci; Marcora Mandreoli; Dino Gibertoni; Alessandro Zuccalà; Maria Pia Fantini; Jacopo Lenzi; Antonio Santoro
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9.  A trial of darbepoetin alfa in type 2 diabetes and chronic kidney disease.

Authors:  Marc A Pfeffer; Emmanuel A Burdmann; Chao-Yin Chen; Mark E Cooper; Dick de Zeeuw; Kai-Uwe Eckardt; Jan M Feyzi; Peter Ivanovich; Reshma Kewalramani; Andrew S Levey; Eldrin F Lewis; Janet B McGill; John J V McMurray; Patrick Parfrey; Hans-Henrik Parving; Giuseppe Remuzzi; Ajay K Singh; Scott D Solomon; Robert Toto
Journal:  N Engl J Med       Date:  2009-10-30       Impact factor: 91.245

10.  Mortality in chronic kidney disease and renal replacement therapy: a population-based cohort study.

Authors:  Martin Neovius; Stefan H Jacobson; Jonas K Eriksson; Carl-Gustaf Elinder; Britta Hylander
Journal:  BMJ Open       Date:  2014-02-18       Impact factor: 2.692

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  8 in total

1.  Safety and effectiveness of rivaroxaban and warfarin in moderate-to-advanced CKD: real world data.

Authors:  Luca Di Lullo; Giovanni Tripepi; Claudio Ronco; Antonio De Pascalis; Vincenzo Barbera; Antonio Granata; Domenico Russo; Biagio Raffaele Di Iorio; Ernesto Paoletti; Maura Ravera; Maria Fusaro; Antonio Bellasi
Journal:  J Nephrol       Date:  2018-06-07       Impact factor: 3.902

2.  Predictors of first ischemic lower limb ulcer in dialysis patients: an observational cohort study.

Authors:  Simeone Andrulli; Chiara Chiavenna; Maria Carla Bigi; Monica Crepaldi; Cesare Dell'Oro; Flavia Tentori; Celestina Manzoni; Giuseppe Bacchini; Mauro Maria Corti; Giuseppe Pontoriero
Journal:  J Nephrol       Date:  2017-08-22       Impact factor: 3.902

3.  The PIRP project (Prevenzione Insufficienza Renale Progressiva): how to integrate hospital and community maintenance treatment for chronic kidney disease.

Authors:  Antonio Santoro; Dino Gibertoni; Paola Rucci; Elena Mancini; Decenzio Bonucchi; Andrea Buscaroli; Anselmo Campagna; Gianni Cappelli; Salvatore David; Maria Cristina Gregorini; Gaetano La Manna; Giovanni Mosconi; Angelo Rigotti; Roberto Scarpioni; Alda Storari; Marcora Mandreoli
Journal:  J Nephrol       Date:  2019-01-18       Impact factor: 3.902

4.  High-sensitive cardiac troponin T: a biomarker of left-ventricular diastolic dysfunction in hemodialysis patients.

Authors:  Linlin Sun; Yongqiang Ji; Yonglan Wang; Miao Ding; Xinmiao Xie; Dingyu Zhu; Fuhua Chen; Nan Zhang; Xiaoxia Wang
Journal:  J Nephrol       Date:  2018-10-22       Impact factor: 3.902

5.  An Enhanced Approach for Economic Evaluation of Long-Term Benefits of School-Based Health Promotion Programs.

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6.  Hemodialysis vs Peritoneal Dialysis: Comparison of Net Survival in Incident Patients on Chronic Dialysis in Colombia.

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Review 7.  Hypoxia-Inducible Factor and Its Role in the Management of Anemia in Chronic Kidney Disease.

Authors:  Joshua M Kaplan; Neeraj Sharma; Sean Dikdan
Journal:  Int J Mol Sci       Date:  2018-01-29       Impact factor: 5.923

8.  Comparing the impact of older age on outcome in chronic kidney disease of different etiologies: a prospective cohort study.

Authors:  Maharajan Raman; Darren Green; Rachel J Middleton; Philip A Kalra
Journal:  J Nephrol       Date:  2018-09-05       Impact factor: 3.902

  8 in total

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