Evidence map›Paper›PMID 38355514›Full record

ArticleJournal of cardiothoracic surgery2024

Improved early risk stratification of deep sternal wound infection risk after coronary artery bypass grafting.

Tina Kamensek, Jurij Matija Kalisnik, Mirek Ledwon, Giuseppe Santarpino, Matthias Fittkau, Ferdinand Aurel Vogt, Janez Zibert

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 3 countries.

Tina KamensekFaculty of Health Sciences, University of Ljubljana, Zdravstvena pot 5, Ljubljana, 1000, Slovenia.
Jurij Matija KalisnikDepartment of Cardiac Surgery, Klinikum Nuremberg, Paracelsus Medical University, Breslauer Str. 201, 90471, Nuremberg, Germany. jurij.kalisnik@kabeg.at.
Mirek LedwonDepartment of Cardiac Surgery, Klinikum Nuremberg, Paracelsus Medical University, Breslauer Str. 201, 90471, Nuremberg, Germany.
Giuseppe SantarpinoParacelsus Medical University, Campus Nuremberg, Ernst Nathan Straße 1, 90419, Nuremberg, Germany.
Matthias FittkauDepartment of Cardiac Surgery, Klinikum Nuremberg, Paracelsus Medical University, Breslauer Str. 201, 90471, Nuremberg, Germany.
Ferdinand Aurel VogtParacelsus Medical University, Campus Nuremberg, Ernst Nathan Straße 1, 90419, Nuremberg, Germany.
Janez ZibertFaculty of Health Sciences, University of Ljubljana, Zdravstvena pot 5, Ljubljana, 1000, Slovenia.
University of Ljubljana · SINuremberg Hospital · DEParacelsus Medizinische Privatuniversität · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeep sternal wound infection (DSWI) following open heart surgery is associated with excessive morbidity and mortality. Contemporary DSWI risk prediction models aim at identifying high-risk patients with varying complexity and performance characteristics. We aimed to optimize the DSWI risk factor set and to identify additional risk factors for early postoperative detection of patients prone to DSWI.

methodsSingle-centre retrospective analysis of patients with isolated multivessel coronary artery disease undergoing myocardial revascularization at Paracelsus Medical University Nuremberg between 2007 and 2022 was performed to identify risk factors for DSWI. Three data sets were created to examine preoperative, intraoperative, and early postoperative parameters, constituting the "Baseline", the "Improved Baseline" and the "Extended" models. The "Extended" data set included risk factors that had not been analysed before. Univariable and stepwise forward multiple logistic regression analyses were performed for each respective set of variables.

resultsFrom 5221 patients, 179 (3.4%) developed DSWI. The "Extended" model performed best, with the area under the curve (AUC) of 0.80, 95%-CI: [0.76, 0.83]. Pleural effusion requiring intervention, postoperative delirium, preoperative hospital stay > 24 h, and the use of fibrin sealant were new independent predictors of DSWI in addition to age, Diabetes Mellitus on insulin, Body Mass Index, peripheral artery disease, mediastinal re-exploration, bilateral internal mammary harvesting, acute kidney injury and blood transfusions.

conclusionsThe "Extended" regression model with the short-term postoperative complications significantly improved DSWI risk discrimination after surgical revascularization. Short preoperative stay, prevention of postoperative delirium, protocols reducing the need for evacuation of effusion and restrictive use of fibrin sealant for sternal closure facilitate DSWI reduction.

trial registrationThe registered retrospective study was registered at the study centre and approved by the Institutional Review Board of Paracelsus Medical University Nuremberg (IRB-2019-005).

Indexed as

Emergence DeliriumSurgical Wound InfectionCoronary Artery BypassFibrin Tissue AdhesiveHumansRetrospective StudiesRisk AssessmentRisk FactorsSternumFibrin Tissue AdhesiveCoronary artery bypass graftingDeep sternal wound infectionRisk assessment

Identifiers

PMID38355514
PMCPMC10865600
OpenAlexW4391814154

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.