Evidence map›Paper›PMID 37398694›Full record

ArticleClinical kidney journal2023

Trajectories of systolic blood pressure decline in kidney transplant donors prior to circulatory death and delayed graft function.

Yingxin Lin, Armando Teixeira-Pinto, Jonathan C Craig, Helen Opdam, Jeremy C Chapman, Henry Pleass, Angus Carter, Natasha M Rogers, Christopher E Davies, Stephen McDonald and 3 more

Abstract read
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In one paragraph

Article in Clinical kidney journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. A Dynamic Online Nomogram for Predicting Postoperative Acute Kidney Injury After Sleeve Gastrectomy.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  2. Article
  3. Article
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

13 authors.

Yingxin LinSydney School of Public Health, University of Sydney, Sydney, NSW, Australia.
Armando Teixeira-PintoSydney School of Public Health, University of Sydney, Sydney, NSW, Australia.
Jonathan C CraigCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Helen OpdamDepartment of Surgery, DonateLife, Organ and Tissue Authority, Canberra, ACT, Australia.
Jeremy C ChapmanCentre for Transplant and Renal Research, Westmead Hospital, Sydney, NSW, Australia.
Henry PleassCentre for Transplant and Renal Research, Westmead Hospital, Sydney, NSW, Australia.
Angus CarterIntensive Care Unit, Cairns Hospital, Cairns, QLD, Australia.
Natasha M RogersCentre for Transplant and Renal Research, Westmead Hospital, Sydney, NSW, Australia.
Christopher E DaviesDepartment of Renal Medicine, Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.
Stephen McDonaldDepartment of Renal Medicine, Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry, South Australian Health and Medical Research Institute, Adelaide, SA, Australia.
Jean YangFaculty of Science, School of Mathematics and Science, University of Sydney, Sydney, NSW, Australia.
Wai H LimFaculty of Health and Medical Science, University of Western Australia, Perth, WA, Australia.
Germaine WongSydney School of Public Health, University of Sydney, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0001-8422-7269

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kidneys donated after circulatory death suffer a period of functional warm ischaemia before death, which may lead to early ischaemic injury. Effects of haemodynamic trajectories during the agonal phase on delayed graft function (DGF) is unknown. We aimed to predict the risk of DGF using patterns of trajectories of systolic blood pressure (SBP) declines in Maastricht category 3 kidney donors. Methods: We conducted a cohort study of all kidney transplant recipients in Australia who received kidneys from donation after circulatory death donors, divided into a derivation cohort (transplants between 9 April 2014 and 2 January 2018 [462 donors]) and a validation cohort (transplants between 6 January 2018 and 24 December 2019 [324 donors]). Patterns of SBP decline using latent class models were evaluated against the odds of DGF using a two-stage linear mixed effects model. Results: In the derivation cohort, 462 donors were included in the latent class analyses and 379 donors in the mixed effects model. Of the 696 eligible transplant recipients, 380 (54.6%) experienced DGF. Ten different trajectories, with distinct patterns of SBP decline were identified. Compared with recipients from donors with the slowest decline in SBP after withdrawal of cardiorespiratory support, the adjusted odds ratio (aOR) for DGF was 5.5 [95% confidence interval (CI) 1.38-28.0] for recipients from donors with a steeper decline and lowest SBP [mean 49.5 mmHg (standard deviation 12.5)] at the time of withdrawal. For every 1 mmHg/min reduction in the rate of decline of SBP, the respective aORs for DGF were 0.95 (95% CI 0.91-0.99) and 0.98 (95% CI 0.93-1.0) in the random forest and least absolute shrinkage and selection operator models. In the validation cohort, the respective aORs were 0.95 (95% CI 0.91-1.0) and 0.99 (95% CI 0.94-1.0). Conclusion: Trajectories of SBP decline and their determinants are predictive of DGF. These results support a trajectory-based assessment of haemodynamic changes in donors after circulatory death during the agonal phase for donor suitability and post-transplant outcomes.

Indexed as

agonal phaseblood pressurekidney transplantationorgan donation

Identifiers

PMID37398694
PMCPMC10310517

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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.