Evidence map›Paper›PMID 27973553›Full record

ArticlePloS one2016

Variability of the Estimated Glomerular Filtration Rate in the First Year after Kidney Transplantation Is an Independent Risk Factor for Poor Renal Allograft Outcomes: A Retrospective Cohort Study.

Hoon Young Choi, Kyu Ha Huh, Jae Geun Lee, Mi Kyung Song, Myoung Soo Kim, Yu Seun Kim, Beom Seok Kim

Abstract read
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Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hoon Young ChoiDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Kyu Ha HuhDepartment of Transplantation Surgery, Severance Hospital, Yonsei University Health System, Seoul, Korea.
Jae Geun LeeDepartment of Transplantation Surgery, Severance Hospital, Yonsei University Health System, Seoul, Korea.
Mi Kyung SongDepartment of Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea.
Myoung Soo KimDepartment of Transplantation Surgery, Severance Hospital, Yonsei University Health System, Seoul, Korea.
Yu Seun KimDepartment of Transplantation Surgery, Severance Hospital, Yonsei University Health System, Seoul, Korea.
Beom Seok KimDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal function in the first year after kidney transplantation (KT) can predict long-term renal graft survival. This study investigated whether estimated glomerular filtration rate (eGFR) variability during the first year after KT is a risk factor for poor renal allograft outcomes. This retrospective cohort study included 3077 patients who underwent repeated eGFR measurements for 1 year after KT at Severance Hospital Transplantation Center between 1979 and 2012. The eGFR variability during the first year after KT was the predictor. The patients were divided into four quartile groups of eGFR variability according to the coefficient of variation for eGFR (eGFR-CV). We selected a cutoff of eGFR-CV for graft failure and performed the sensitivity analyses. The graft outcome was worse in the highest quartile group of eGFR variability than in the other groups among all patients (Q4: HR 1.631, 95% CI 1.278-2.081; p < 0.0001) and among patients without AR (Q4: HR 1.425, 95% CI 1.024-1.982; p = 0.0358) after adjusting for eGFR at 1 year after KT and other covariates. Additionally, all-cause mortality was higher in this highest quartile group than in the other groups among all patients but not among patients without AR. Higher eGFR-CVs than the cutoff were significantly associated with a high risk of graft failure among all patients (HR 1.670, 95% CI 1.395-2.000; p < 0.0001) and among patients without AR (HR 1.899, 95% CI 1.457-2.477; p < 0.0001) after fully adjusting for covariates. For all-cause mortality, a higher eGFR-CV was an independent risk factor among all patients but not among patients without AR after adjusting for covariates. eGFR variability in the first year after KT is an independent risk factor for poor renal allograft outcomes.

Indexed as

Glomerular Filtration RateKidney TransplantationAdultAlgorithmsFemaleGraft SurvivalHumansKaplan-Meier EstimateKidneyKidney Failure, ChronicMaleMiddle AgedProportional Hazards ModelsRegression AnalysisRetrospective StudiesRisk Factors

Identifiers

PMID27973553
PMCPMC5156409

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.