Evidence map›Paper›PMID 32200414›Full record

Observational studyHeart and vessels2020

Decreased mean perfusion pressure as an independent predictor of acute kidney injury after cardiac surgery.

Raymond Hu, Yasmean Kalam, Jeremy Broad, Tim Ho, Frank Parker, Matthew Lee, Rinaldo Bellomo

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Heart and vessels, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

8 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 1 institution in 1 country.

Raymond HuDepartment of Anesthesia, 145 Studley Road, Austin HealthHeidelberg, VIC, 3084, Australia. Raymond.hu@austin.org.au.
Yasmean KalamDepartment of Anesthesia, 145 Studley Road, Austin HealthHeidelberg, VIC, 3084, Australia.
Jeremy BroadDepartment of Anesthesia, 145 Studley Road, Austin HealthHeidelberg, VIC, 3084, Australia.
Tim HoDepartment of Anesthesia, 145 Studley Road, Austin HealthHeidelberg, VIC, 3084, Australia.
Frank ParkerDepartment of Anesthesia, 145 Studley Road, Austin HealthHeidelberg, VIC, 3084, Australia.
Matthew LeeDepartment of Anesthesia, 145 Studley Road, Austin HealthHeidelberg, VIC, 3084, Australia.
Rinaldo BellomoDepartment of Intensive Care, 145 Studley Road, Austin HealthHeidelberg, VIC, 3084, Australia.
Austin Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury after cardiac surgery (AKICS) is common. Previous studies examining the role that mean arterial pressure (MAP) during cardiopulmonary bypass (CPB) may have on AKICS have not taken into account how baseline central venous pressure (CVP) and mean perfusion pressure (MPP) (i.e. MAP - CVP) can influence its evolution. To assess whether the change in MPP to the kidneys (i.e. delta MPP or DMPP) during CPB compared to baseline is an independent predictor of AKICS. After ethical approval, a retrospective observational study was performed on all patients undergoing CPB between October 2013 and June 2015 at a university-affiliated hospital. Known risk factors for the development of AKICS were recorded, as were the MPP values at baseline and during CPB. From this, statistical modelling was performed to identify predictors of postoperative AKICS. 664 patients were identified. Analysis was performed on 513 patients after exclusion. On logistic regression, significant and independent predictors of AKICS included: d20DMPP (cumulative duration of MPP values during CPB that were 20% below baseline and exceeded three consecutive minutes) (P = 0.010); baseline CVP; age; pre-operative creatinine level; and left ventricular (LV) dysfunction (ejection fraction (EF) < 45%). On alternative modelling, the cumulative number of MPP values during CPB that were 10% below baseline was also independently associated with AKICS (P = 0.003). Modelling without taking into account CVP also supported this association. The duration of differences in perfusion pressure to the kidneys during CPB compared to baseline is an independent predictor of AKICS.

Indexed as

Arterial PressureCentral Venous PressureRenal CirculationAcute Kidney InjuryAgedAged, 80 and overCardiac Surgical ProceduresCardiopulmonary BypassFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsTreatment OutcomeAcute kidney injuryCardiac surgeryCardiopulmonary bypassCentral venous pressureMean arterial pressureMean perfusion pressure

Identifiers

PMID32200414
PMCPMC7332480
OpenAlexW3012588727

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.