Evidence map›Paper›PMID 29427619›Full record

ArticleThe Annals of thoracic surgery2018

The Association of Aortic Valve Pathology With Renal Resistive Index as a Kidney Injury Biomarker.

Benjamin Y Andrew, Anne D Cherry, Jennifer N Hauck, Alina Nicoara, Cory D Maxwell, Ryan M Konoske, Annemarie Thompson, Lakshmi D Kartha, Madhav Swaminathan, Mark Stafford-Smith

Open access · bronzeAbstract read
In one paragraph

Article in The Annals of thoracic surgery, 2018. 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
2.2field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Benjamin Y AndrewDepartment of Anesthesiology, Duke University Medical Center, Durham, North Carolina; Clinical Research Training Program, Duke University School of Medicine, Durham, North Carolina.
Anne D CherryDepartment of Anesthesiology, Duke University Medical Center, Durham, North Carolina.
Jennifer N HauckDepartment of Anesthesiology, Duke University Medical Center, Durham, North Carolina.
Alina NicoaraDepartment of Anesthesiology, Duke University Medical Center, Durham, North Carolina.
Cory D MaxwellDepartment of Anesthesiology, Duke University Medical Center, Durham, North Carolina.
Ryan M KonoskeDepartment of Anesthesiology, Duke University Medical Center, Durham, North Carolina.
Annemarie ThompsonDepartment of Anesthesiology, Duke University Medical Center, Durham, North Carolina.
Lakshmi D KarthaDepartment of Anesthesiology, Duke University Medical Center, Durham, North Carolina.
Madhav SwaminathanDepartment of Anesthesiology, Duke University Medical Center, Durham, North Carolina.
Mark Stafford-SmithDepartment of Anesthesiology, Duke University Medical Center, Durham, North Carolina. Electronic address: mark.staffordsmit@dm.duke.edu.
Duke Medical Center · US

Funding

INTEGRATED TRAINING IN ANESTHESIOLOGY RESEARCHT32GM008600 · NIGMS · DUKE UNIVERSITY · PI Miriam Treggiari · 1996 to 2026
$6.6M
Duke CTSA (Composite)TL1TR001116 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, KRAFT, MONICA · 2013 to 2017
$1.2M
NCATS NIH HHS TL1 TR001116NIGMS NIH HHS T32 GM008600
6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is a common serious complication after cardiac surgery. Doppler-determined renal resistive index (RRI) is a promising early AKI biomarker in this population. However, the relationship between aortic valve pathology (insufficiency and/or stenosis) and RRI is unknown. This study aimed to investigate RRI variability related to aortic valve pathology.

methodsIn a retrospective review of cardiac surgery patients, RRI and aortic valve pathology were assessed prior to cardiopulmonary bypass using transesophageal echocardiography. Aortic valve status was categorized into four subgroups: normal (insufficiency and stenosis, none/trace/mild), insufficiency (insufficiency, moderate/severe; stenosis, none/trace/mild), combined insufficiency/stenosis (insufficiency and stenosis, moderate/severe), or stenosis (insufficiency, none/trace/mild; stenosis, moderate/severe). RRI and time-matched hemodynamic and Doppler measurements were compared among subgroups.

resultsOf 175 patients, 60 had aortic valve pathology (16 insufficiency, 18 insufficiency/stenosis, 26 stenosis). Compared with the normal subgroup, patients with aortic insufficiency had lower diastolic blood pressure and trough renal Doppler velocities, and higher RRI (0.77 versus 0.69; p < 0.001); patients with combined insufficiency/stenosis also had higher RRI (0.72 versus 0.69, p = 0.042).

conclusionsPatients with aortic insufficiency and combined insufficiency/stenosis had higher median RRI values compared with normal patients. For these individuals, diastolic flow differences related to aortic insufficiency may explain why their presurgery RRI values often exceeded postoperative thresholds typically associated with AKI. Strategies to account for the potentially confounding effects of aortic insufficiency on renal flow patterns, independent of renal injury, may add to the value of RRI as an early AKI biomarker.

Indexed as

Acute Kidney InjuryAgedAge FactorsAortic ValveAortic Valve InsufficiencyAortic Valve StenosisBiomarkersBlood Flow VelocityCardiopulmonary BypassCase-Control StudiesDatabases, FactualFemaleHeart Valve Prosthesis ImplantationHumansIncidenceMaleBiomarkers

Identifiers

PMID29427619
PMCPMC6019136
OpenAlexW2786482691

What OpenQuestion holds

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Registered trials

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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.