schliessen

Filtern

 

Bibliotheken

A joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes

In renal transplantation, serum creatinine (SCr) is the main biomarker routinely measured to assess patient's health, with chronic increases being strongly associated with long-term graft failure risk (death with a functioning graft or return to dialysis). Joint modeling may be useful to identify th... Full description

Journal Title: European journal of epidemiology 2016, Vol.31 (5), p.469-479
Main Author: Fournier, Marie-Cécile
Other Authors: Foucher, Yohann , Blanche, Paul , Buron, Fanny , Giral, Magali , Dantan, Etienne
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: Dordrecht: Springer
ID: ISSN: 0393-2990
Zum Text:
SendSend as email Add to Book BagAdd to Book Bag
Staff View
recordid: cdi_hal_primary_oai_HAL_hal_01443463v1
title: A joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes
format: Article
creator:
  • Fournier, Marie-Cécile
  • Foucher, Yohann
  • Blanche, Paul
  • Buron, Fanny
  • Giral, Magali
  • Dantan, Etienne
subjects:
  • Analysis
  • Applications
  • Biomarkers - blood
  • Cardiology
  • Chronic diseases
  • CLINICAL EPIDEMIOLOGY
  • Clinical outcomes
  • Creatinine - blood
  • Diabetes
  • Diabetics
  • Dialysis
  • Epidemiology
  • Female
  • Graft Rejection
  • Graft Survival
  • Heart transplantation
  • Human health and pathology
  • Humans
  • Infectious Diseases
  • Kidney - physiopathology
  • Kidney diseases
  • Kidney Failure, Chronic - diagnosis
  • Kidney Failure, Chronic - surgery
  • Kidney transplantation
  • Kidney Transplantation - adverse effects
  • Kidneys
  • Life Sciences
  • Living Donors
  • Medicine
  • Medicine & Public Health
  • Models
  • Models, Biological
  • Oncology
  • Organ transplant recipients
  • Predictive Value of Tests
  • Predisposing factors
  • Public Health
  • Renal function
  • Risk Factors
  • Santé publique et épidémiologie
  • Statistics
  • Surgery
  • Time Factors
  • Tissue Donors
  • Tissue grafting
  • Transplant Recipients
  • Transplantation
  • Transplants & implants
  • Treatment Outcome
  • Urology and Nephrology
ispartof: European journal of epidemiology, 2016, Vol.31 (5), p.469-479
description: In renal transplantation, serum creatinine (SCr) is the main biomarker routinely measured to assess patient's health, with chronic increases being strongly associated with long-term graft failure risk (death with a functioning graft or return to dialysis). Joint modeling may be useful to identify the specific role of risk factors on chronic evolution of kidney transplant recipients: some can be related to the SCr evolution, finally leading to graft failure, whereas others can be associated with graft failure without any modification of SCr. Sample data for 2749 patients transplanted between 2000 and 2013 with a functioning kidney at 1-year post-transplantation were obtained from the DIVAT cohort. A shared random effect joint model for longitudinal SCr values and time to graft failure was performed. We show that graft failure risk depended on both the current value and slope of the SCr. Deceased donor graft patient seemed to have a higher SCr increase, similar to patient with diabetes history, while no significant association of these two features with graft failure risk was found. Patient with a second graft was at higher risk of graft failure, independent of changes in SCr values. Anti-HLA immunization was associated with both processes simultaneously. Joint models for repeated and time-toevent data bring new opportunities to improve the epidemiological knowledge of chronic diseases. For instance in renal transplantation, several features should receive additional attention as we demonstrated their correlation with graft failure risk was independent of the SCr evolution.
language: eng
source:
identifier: ISSN: 0393-2990
fulltext: no_fulltext
issn:
  • 0393-2990
  • 1573-7284
url: Link


@attributes
NO1
SEARCH_ENGINEprimo_central_multiple_fe
SEARCH_ENGINE_TYPEPrimo Central Search Engine
RANK2.4657996
LOCALfalse
PrimoNMBib
record
control
sourceidgale_opena
recordidTN_cdi_hal_primary_oai_HAL_hal_01443463v1
sourceformatXML
sourcesystemPC
galeidA454711667
jstor_id44852154
sourcerecordidA454711667
originalsourceidFETCH-LOGICAL-c562t-4da210f9ce8f131bf9ccf5a088f07661f6d43818fbcba864900ca180f762a7930
addsrcrecordideNqFksFu1DAYhCMEokvhATiALHGBQ4rtOLZzXFVAkSq4wNly7N9bL0kcbKdV34cHxduUCnooiqJEzszn-eOpqpcEnxCMxftEMG9ZjQkvNyU1fVRtSCuaWlDJHlcb3HRNTbsOH1XPUtpjjCXu2qfVEeWyoU0jNtWvLdoHP2U0BgsDciGiIUw7nxfrJz0gPVmU_Qh1DjVcQhFanTXKAfWQM0SkU4KUUL4AlGYw3nmDYhgABYdsmArvgIjly-wPdqdNDjGhMN1sVBfGiH54O8E1ylFPaR70lHX2RRCWbMII6Xn1xOkhwYvb53H1_eOHb6dn9fnXT59Pt-e1aTnNNbOaEuw6A9KRhvTlzbhWYykdFpwTxy1rJJGuN72WnHUYG00kdoJTLboGH1dfVm6YYdI-gpqjH3W8VkF7VSJmZcEus7pyCmOiHNFSGsmpYxZ6KSywvmm5Adcx2lNegO9W4IUe_mGdbc_VYQ0TxhrGm0tStG9X7RzDzwVSVqNPBobyOyAsSZWgkhMsafd_qehaKXB3M9Kbe9J9WGI52VXFmrYVh71PVtVOD6D85EI5ClMuC6M3YQLny_qWtUwQwrkoBrIaTAwpRXB30xGsDt1UazfLgFwduqlo8by-jbL0I9g7x58yFoG4BzV-bUJJ44cH0XR1pgKddhD_mvIB06vVtE-lkXdxGJMtJS3DvwE4fAow
sourcetypeOpen Access Repository
isCDItrue
recordtypearticle
pqid1795435571
display
typearticle
titleA joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes
creatorFournier, Marie-Cécile ; Foucher, Yohann ; Blanche, Paul ; Buron, Fanny ; Giral, Magali ; Dantan, Etienne
creatorcontribFournier, Marie-Cécile ; Foucher, Yohann ; Blanche, Paul ; Buron, Fanny ; Giral, Magali ; Dantan, Etienne
descriptionIn renal transplantation, serum creatinine (SCr) is the main biomarker routinely measured to assess patient's health, with chronic increases being strongly associated with long-term graft failure risk (death with a functioning graft or return to dialysis). Joint modeling may be useful to identify the specific role of risk factors on chronic evolution of kidney transplant recipients: some can be related to the SCr evolution, finally leading to graft failure, whereas others can be associated with graft failure without any modification of SCr. Sample data for 2749 patients transplanted between 2000 and 2013 with a functioning kidney at 1-year post-transplantation were obtained from the DIVAT cohort. A shared random effect joint model for longitudinal SCr values and time to graft failure was performed. We show that graft failure risk depended on both the current value and slope of the SCr. Deceased donor graft patient seemed to have a higher SCr increase, similar to patient with diabetes history, while no significant association of these two features with graft failure risk was found. Patient with a second graft was at higher risk of graft failure, independent of changes in SCr values. Anti-HLA immunization was associated with both processes simultaneously. Joint models for repeated and time-toevent data bring new opportunities to improve the epidemiological knowledge of chronic diseases. For instance in renal transplantation, several features should receive additional attention as we demonstrated their correlation with graft failure risk was independent of the SCr evolution.
identifier
0ISSN: 0393-2990
1EISSN: 1573-7284
2DOI: 10.1007/s10654-016-0121-2
3PMID: 26832337
4CODEN: EJEPE8
languageeng
publisherDordrecht: Springer
subjectAnalysis ; Applications ; Biomarkers - blood ; Cardiology ; Chronic diseases ; CLINICAL EPIDEMIOLOGY ; Clinical outcomes ; Creatinine - blood ; Diabetes ; Diabetics ; Dialysis ; Epidemiology ; Female ; Graft Rejection ; Graft Survival ; Heart transplantation ; Human health and pathology ; Humans ; Infectious Diseases ; Kidney - physiopathology ; Kidney diseases ; Kidney Failure, Chronic - diagnosis ; Kidney Failure, Chronic - surgery ; Kidney transplantation ; Kidney Transplantation - adverse effects ; Kidneys ; Life Sciences ; Living Donors ; Medicine ; Medicine & Public Health ; Models ; Models, Biological ; Oncology ; Organ transplant recipients ; Predictive Value of Tests ; Predisposing factors ; Public Health ; Renal function ; Risk Factors ; Santé publique et épidémiologie ; Statistics ; Surgery ; Time Factors ; Tissue Donors ; Tissue grafting ; Transplant Recipients ; Transplantation ; Transplants & implants ; Treatment Outcome ; Urology and Nephrology
ispartofEuropean journal of epidemiology, 2016, Vol.31 (5), p.469-479
rights
0Springer Science+Business Media 2016
1Springer Science+Business Media Dordrecht 2016
2COPYRIGHT 2016 Springer
3Distributed under a Creative Commons Attribution 4.0 International License
lds50peer_reviewed
oafree_for_read
citedbyFETCH-LOGICAL-c562t-4da210f9ce8f131bf9ccf5a088f07661f6d43818fbcba864900ca180f762a7930
citesFETCH-LOGICAL-c562t-4da210f9ce8f131bf9ccf5a088f07661f6d43818fbcba864900ca180f762a7930
orcidid0000-0003-0330-7457 ; 0000-0001-7137-5051
links
openurl$$Topenurl_article
thumbnail$$Usyndetics_thumb_exl
backlink
0$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26832337$$D View this record in MEDLINE/PubMed
1$$Uhttps://hal.archives-ouvertes.fr/hal-01443463$$DView record in HAL
search
creatorcontrib
0Fournier, Marie-Cécile
1Foucher, Yohann
2Blanche, Paul
3Buron, Fanny
4Giral, Magali
5Dantan, Etienne
title
0A joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes
1European journal of epidemiology
addtitle
0Eur J Epidemiol
1Eur J Epidemiol
descriptionIn renal transplantation, serum creatinine (SCr) is the main biomarker routinely measured to assess patient's health, with chronic increases being strongly associated with long-term graft failure risk (death with a functioning graft or return to dialysis). Joint modeling may be useful to identify the specific role of risk factors on chronic evolution of kidney transplant recipients: some can be related to the SCr evolution, finally leading to graft failure, whereas others can be associated with graft failure without any modification of SCr. Sample data for 2749 patients transplanted between 2000 and 2013 with a functioning kidney at 1-year post-transplantation were obtained from the DIVAT cohort. A shared random effect joint model for longitudinal SCr values and time to graft failure was performed. We show that graft failure risk depended on both the current value and slope of the SCr. Deceased donor graft patient seemed to have a higher SCr increase, similar to patient with diabetes history, while no significant association of these two features with graft failure risk was found. Patient with a second graft was at higher risk of graft failure, independent of changes in SCr values. Anti-HLA immunization was associated with both processes simultaneously. Joint models for repeated and time-toevent data bring new opportunities to improve the epidemiological knowledge of chronic diseases. For instance in renal transplantation, several features should receive additional attention as we demonstrated their correlation with graft failure risk was independent of the SCr evolution.
subject
0Analysis
1Applications
2Biomarkers - blood
3Cardiology
4Chronic diseases
5CLINICAL EPIDEMIOLOGY
6Clinical outcomes
7Creatinine - blood
8Diabetes
9Diabetics
10Dialysis
11Epidemiology
12Female
13Graft Rejection
14Graft Survival
15Heart transplantation
16Human health and pathology
17Humans
18Infectious Diseases
19Kidney - physiopathology
20Kidney diseases
21Kidney Failure, Chronic - diagnosis
22Kidney Failure, Chronic - surgery
23Kidney transplantation
24Kidney Transplantation - adverse effects
25Kidneys
26Life Sciences
27Living Donors
28Medicine
29Medicine & Public Health
30Models
31Models, Biological
32Oncology
33Organ transplant recipients
34Predictive Value of Tests
35Predisposing factors
36Public Health
37Renal function
38Risk Factors
39Santé publique et épidémiologie
40Statistics
41Surgery
42Time Factors
43Tissue Donors
44Tissue grafting
45Transplant Recipients
46Transplantation
47Transplants & implants
48Treatment Outcome
49Urology and Nephrology
issn
00393-2990
11573-7284
fulltextfalse
rsrctypearticle
creationdate2016
recordtypearticle
recordideNqFksFu1DAYhCMEokvhATiALHGBQ4rtOLZzXFVAkSq4wNly7N9bL0kcbKdV34cHxduUCnooiqJEzszn-eOpqpcEnxCMxftEMG9ZjQkvNyU1fVRtSCuaWlDJHlcb3HRNTbsOH1XPUtpjjCXu2qfVEeWyoU0jNtWvLdoHP2U0BgsDciGiIUw7nxfrJz0gPVmU_Qh1DjVcQhFanTXKAfWQM0SkU4KUUL4AlGYw3nmDYhgABYdsmArvgIjly-wPdqdNDjGhMN1sVBfGiH54O8E1ylFPaR70lHX2RRCWbMII6Xn1xOkhwYvb53H1_eOHb6dn9fnXT59Pt-e1aTnNNbOaEuw6A9KRhvTlzbhWYykdFpwTxy1rJJGuN72WnHUYG00kdoJTLboGH1dfVm6YYdI-gpqjH3W8VkF7VSJmZcEus7pyCmOiHNFSGsmpYxZ6KSywvmm5Adcx2lNegO9W4IUe_mGdbc_VYQ0TxhrGm0tStG9X7RzDzwVSVqNPBobyOyAsSZWgkhMsafd_qehaKXB3M9Kbe9J9WGI52VXFmrYVh71PVtVOD6D85EI5ClMuC6M3YQLny_qWtUwQwrkoBrIaTAwpRXB30xGsDt1UazfLgFwduqlo8by-jbL0I9g7x58yFoG4BzV-bUJJ44cH0XR1pgKddhD_mvIB06vVtE-lkXdxGJMtJS3DvwE4fAow
startdate20160101
enddate20160101
creator
0Fournier, Marie-Cécile
1Foucher, Yohann
2Blanche, Paul
3Buron, Fanny
4Giral, Magali
5Dantan, Etienne
general
0Springer
1Springer Netherlands
2Springer Nature B.V
3Springer Verlag
scope
0CGR
1CUY
2CVF
3ECM
4EIF
5NPM
6AAYXX
7CITATION
8BSHEE
93V.
107QL
117T2
127TK
137TS
147U7
157U9
167X7
177XB
1888C
1988E
208AO
218C1
228FI
238FJ
248FK
258G5
26ABUWG
27AZQEC
28BENPR
29C1K
30DWQXO
31FYUFA
32GHDGH
33GNUQQ
34GUQSH
35H94
36K9.
37M0S
38M0T
39M1P
40M2O
41MBDVC
42PADUT
43PQEST
44PQQKQ
45PQUKI
46PRINS
47Q9U
487X8
497U2
501XC
51VOOES
52BOBZL
53CLFQK
orcidid
0https://orcid.org/0000-0003-0330-7457
1https://orcid.org/0000-0001-7137-5051
sort
creationdate20160101
titleA joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes
authorFournier, Marie-Cécile ; Foucher, Yohann ; Blanche, Paul ; Buron, Fanny ; Giral, Magali ; Dantan, Etienne
facets
frbrtype5
frbrgroupidcdi_FETCH-LOGICAL-c562t-4da210f9ce8f131bf9ccf5a088f07661f6d43818fbcba864900ca180f762a7930
rsrctypearticles
prefilterarticles
languageeng
creationdate2016
topic
0Analysis
1Applications
2Biomarkers - blood
3Cardiology
4Chronic diseases
5CLINICAL EPIDEMIOLOGY
6Clinical outcomes
7Creatinine - blood
8Diabetes
9Diabetics
10Dialysis
11Epidemiology
12Female
13Graft Rejection
14Graft Survival
15Heart transplantation
16Human health and pathology
17Humans
18Infectious Diseases
19Kidney - physiopathology
20Kidney diseases
21Kidney Failure, Chronic - diagnosis
22Kidney Failure, Chronic - surgery
23Kidney transplantation
24Kidney Transplantation - adverse effects
25Kidneys
26Life Sciences
27Living Donors
28Medicine
29Medicine & Public Health
30Models
31Models, Biological
32Oncology
33Organ transplant recipients
34Predictive Value of Tests
35Predisposing factors
36Public Health
37Renal function
38Risk Factors
39Santé publique et épidémiologie
40Statistics
41Surgery
42Time Factors
43Tissue Donors
44Tissue grafting
45Transplant Recipients
46Transplantation
47Transplants & implants
48Treatment Outcome
49Urology and Nephrology
toplevelpeer_reviewed
creatorcontrib
0Fournier, Marie-Cécile
1Foucher, Yohann
2Blanche, Paul
3Buron, Fanny
4Giral, Magali
5Dantan, Etienne
collection
0Medline
1MEDLINE
2MEDLINE (Ovid)
3MEDLINE
4MEDLINE
5PubMed
6CrossRef
7Academic OneFile (A&I only)
8ProQuest Central (Corporate)
9Bacteriology Abstracts (Microbiology B)
10Health and Safety Science Abstracts (Full archive)
11Neurosciences Abstracts
12Physical Education Index
13Toxicology Abstracts
14Virology and AIDS Abstracts
15Health & Medical Collection
16ProQuest Central (purchase pre-March 2016)
17Healthcare Administration Database (Alumni)
18Medical Database (Alumni Edition)
19ProQuest Pharma Collection
20Public Health Database
21Hospital Premium Collection
22Hospital Premium Collection (Alumni Edition)
23ProQuest Central (Alumni) (purchase pre-March 2016)
24Research Library (Alumni Edition)
25ProQuest Central (Alumni Edition)
26ProQuest Central Essentials
27ProQuest Central
28Environmental Sciences and Pollution Management
29ProQuest Central Korea
30Health Research Premium Collection
31Health Research Premium Collection (Alumni)
32ProQuest Central Student
33Research Library Prep
34AIDS and Cancer Research Abstracts
35ProQuest Health & Medical Complete (Alumni)
36Health & Medical Collection (Alumni Edition)
37Healthcare Administration Database
38Medical Database
39Research Library
40Research Library (Corporate)
41Research Library China
42ProQuest One Academic Eastern Edition
43ProQuest One Academic
44ProQuest One Academic UKI Edition
45ProQuest Central China
46ProQuest Central Basic
47MEDLINE - Academic
48Safety Science and Risk
49Hyper Article en Ligne (HAL)
50Hyper Article en Ligne (HAL) (Open Access)
51OpenAIRE (Open Access)
52OpenAIRE
jtitleEuropean journal of epidemiology
delivery
delcategoryRemote Search Resource
fulltextno_fulltext
addata
au
0Fournier, Marie-Cécile
1Foucher, Yohann
2Blanche, Paul
3Buron, Fanny
4Giral, Magali
5Dantan, Etienne
formatjournal
genrearticle
ristypeJOUR
atitleA joint model for longitudinal and time-to-event data to better assess the specific role of donor and recipient factors on long-term kidney transplantation outcomes
jtitleEuropean journal of epidemiology
stitleEur J Epidemiol
addtitleEur J Epidemiol
date2016-01-01
risdate2016
volume31
issue5
spage469
epage479
pages469-479
issn0393-2990
eissn1573-7284
codenEJEPE8
abstractIn renal transplantation, serum creatinine (SCr) is the main biomarker routinely measured to assess patient's health, with chronic increases being strongly associated with long-term graft failure risk (death with a functioning graft or return to dialysis). Joint modeling may be useful to identify the specific role of risk factors on chronic evolution of kidney transplant recipients: some can be related to the SCr evolution, finally leading to graft failure, whereas others can be associated with graft failure without any modification of SCr. Sample data for 2749 patients transplanted between 2000 and 2013 with a functioning kidney at 1-year post-transplantation were obtained from the DIVAT cohort. A shared random effect joint model for longitudinal SCr values and time to graft failure was performed. We show that graft failure risk depended on both the current value and slope of the SCr. Deceased donor graft patient seemed to have a higher SCr increase, similar to patient with diabetes history, while no significant association of these two features with graft failure risk was found. Patient with a second graft was at higher risk of graft failure, independent of changes in SCr values. Anti-HLA immunization was associated with both processes simultaneously. Joint models for repeated and time-toevent data bring new opportunities to improve the epidemiological knowledge of chronic diseases. For instance in renal transplantation, several features should receive additional attention as we demonstrated their correlation with graft failure risk was independent of the SCr evolution.
copDordrecht
pubSpringer
pmid26832337
doi10.1007/s10654-016-0121-2
orcidid
0https://orcid.org/0000-0003-0330-7457
1https://orcid.org/0000-0001-7137-5051
oafree_for_read