Evidence map›Paper›PMID 31485566›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2019

Preoperative Factors Predicting Admission to the Intensive Care Unit After Kidney Transplantation.

Nitin Abrol, Rahul Kashyap, Ryan D Frank, Vivek N Iyer, Patrick G Dean, Mark D Stegall, Mikel Prieto, Kianoush B Kashani, Timucin Taner

Open access · goldAbstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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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

9 authors at 3 institutions in 1 country.

Nitin AbrolWilliam J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, MN.
Rahul KashyapDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
Ryan D FrankBiomedical Statistics and Informatics, Mayo Clinic, Rochester, MN.
Vivek N IyerDivision of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN.
Patrick G DeanWilliam J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, MN.
Mark D StegallWilliam J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, MN.
Mikel PrietoWilliam J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, MN.
Kianoush B KashaniDivision of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN.
Timucin TanerWilliam J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, MN.
Mayo Clinic · USMayo Clinic in Arizona · USMayo Clinic in Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify preoperative factors predicting early admission (within 30 days) of adult kidney transplant recipients to the intensive care unit (ICU). PATIENTS AND

methodsThis is a single-center retrospective study of consecutive kidney transplant recipients between January 1, 2007, and December 31, 2016. Children (aged <18 years) and patients who underwent simultaneous multiorgan transplantation were excluded from the analysis. Associations between demographic, transplant-related, and comorbidity variables with ICU admission within 30 days of transplantation were analyzed using univariate and multivariate logistic regression models.

resultsOf the 1527 eligible patients, 305 (20%) required early ICU admission. In univariate analysis, older age, higher body mass index (BMI), previous transplantation, myocardial infarction, congestive heart failure, obstructive pulmonary disease, longer ischemia time, pretransplant dialysis, and transplantation from a deceased donor were associated with increased odds of ICU admission. After multivariate adjustment, every 10-year increase in recipient age (odds ratio [OR], 1.26; 95% CI, 1.12-1.42;

conclusionRecipient age, BMI, and the need for pretransplant dialysis are associated with a higher risk of early ICU admission after kidney transplantation, whereas living donor kidney transplantation and preemptive transplantation decrease these odds. Early referral of patients with end-stage renal disease for preemptive transplantation and living donor kidney transplantation can significantly reduce transplant-related ICU admissions.

Indexed as

ASA, American Society of AnesthesiologistsBMI, body mass indexCHF, congestive heart failureCOPD, chronic obstructive pulmonary diseaseDM, diabetes mellitusESRD, end-stage renal diseaseICU, intensive care unitILD, interstitial lung diseaseIQR, interquartile rangeMI, myocardial ischemiaOR, odds ratioPVD, peripheral vascular diseaseWIT, warm ischemia time

Identifiers

PMID31485566
PMCPMC6713836
OpenAlexW2969216169

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.