Evidence map›Paper›PMID 37548292›Full record

ArticleEuropean heart journal. Acute cardiovascular care2023

Prediction of perioperative myocardial infarction/injury in high-risk patients after noncardiac surgery.

Rebecca Meister, Christian Puelacher, Noemi Glarner, Danielle Menosi Gualandro, Henrik A Andersson, Mirjam Pargger, Gabrielle Huré, Georgiana Virant, Daniel Bolliger, Andreas Lampart and 13 more

Open access · hybridAbstract read
In one paragraph

Article in European heart journal. Acute cardiovascular care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Best of cardiovascular biomarkers.European heart journal. Acute cardiovascular care · 2025
    Article
  5. Observational
  6. Article
  7. 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

23 authors at 6 institutions in 4 countries.

Rebecca MeisterCardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4031 Basel, Basel-Stadt, Switzerland.ORCID 0000-0002-3294-305X
Christian PuelacherCardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4031 Basel, Basel-Stadt, Switzerland.ORCID 0000-0003-3206-6349
Noemi GlarnerCardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4031 Basel, Basel-Stadt, Switzerland.
Danielle Menosi GualandroCardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4031 Basel, Basel-Stadt, Switzerland.
Henrik A AnderssonDepartment of Anaesthesiology and Intensive Care Medicine, Linköping University Hospital, SE-581 83 Linköping, Sweden.
Mirjam ParggerCardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4031 Basel, Basel-Stadt, Switzerland.
Gabrielle HuréCardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4031 Basel, Basel-Stadt, Switzerland.
Georgiana VirantCardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4031 Basel, Basel-Stadt, Switzerland.
Daniel BolligerDepartment of Anaesthesiology, University Hospital Basel, University of Basel, Spitalstrasse 21, 4031 Basel, Basel-Stadt, Switzerland.
Andreas LampartDepartment of Anaesthesiology, University Hospital Basel, University of Basel, Spitalstrasse 21, 4031 Basel, Basel-Stadt, Switzerland.
Luzius SteinerDepartment of Anaesthesiology, University Hospital Basel, University of Basel, Spitalstrasse 21, 4031 Basel, Basel-Stadt, Switzerland.
Reka HidvegiCardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4031 Basel, Basel-Stadt, Switzerland.
Giovanna Lurati BuseDepartment of Anaesthesiology, University Hospital Dusseldorf, Moorenstr. 5 40225 Düsseldorf, NRW, Germany.
Christoph KindlerDepartment of Anaesthesiology, Cantonal Hospital Aarau, Tellstrasse 25, 5001 Aarau, Aargau, Switzerland.ORCID 0000-0003-0464-3460
Lorenz GürkeDepartment of Vascular Surgery, University Hospital Basel, University Basel, Spitalstrasse 21, 4031 Basel, Basel-Stadt, Switzerland.
Edin MujagicDepartment of Vascular Surgery, University Hospital Basel, University Basel, Spitalstrasse 21, 4031 Basel, Basel-Stadt, Switzerland.
Stefan SchaerenDepartment of Spinal Surgery, University Hospital Basel, University Basel, Spitalstrasse 21, 4031 Basel, Basel-Stadt, Switzerland.
Martin ClaussDepartment of Orthopedics and Center of Musculoskeletal Infections, University Hospital Basel, University Basel, Spitalstrasse 21, 4031 Basel, Basel-Stadt, Switzerland.
Didier LardinoisDepartment of Thoracic Surgery, University Hospital Basel, University of Basel, Spitalstrasse 21, 4031 Basel, Basel-Stadt, Switzerland.
Angelika Hammerer-LercherDepartment of Laboratory Medicine, Cantonal Hospital Aarau, Tellstrasse 25, 5001 Aarau, Aargau, Switzerland.
Michelle ChewDepartment of Anaesthesiology and Intensive Care Medicine, Linköping University Hospital, SE-581 83 Linköping, Sweden.
Christian MuellerCardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Spitalstrasse 2, CH-4031 Basel, Basel-Stadt, Switzerland.ORCID 0000-0002-1120-6405
BASEL-PMI Investigators
University of Basel · CHUniversity Hospital of Basel · CHKantonsspital Aarau · CHLinköping University Hospital · SEDüsseldorf University Hospital · DEUniversidade de São Paulo · BR

Funding

Swiss National Science Foundation
6 · The paper itself

Abstract

aimsPerioperative myocardial infarction/injury (PMI) is a surprisingly common yet difficult-to-predict cardiac complication in patients undergoing noncardiac surgery. We aimed to assess the incremental value of preoperative cardiac troponin (cTn) concentration in the prediction of PMI. METHODS AND

resultsAmong prospectively recruited patients at high cardiovascular risk (age ≥65 years or ≥45 years with preexisting cardiovascular disease), PMI was defined as an absolute increase in high-sensitivity cTnT (hs-cTnT) concentration of ≥14 ng/L (the 99th percentile) above the preoperative concentration. Perioperative myocardial infarction/injury was centrally adjudicated by two independent cardiologists using serial measurements of hs-cTnT. Using logistic regression, three models were derived: Model 1 including patient- and procedure-related information, Model 2 adding routinely available laboratory values, and Model 3 further adding preoperative hs-cTnT concentration. Models were also compared vs. preoperative hs-cTnT alone. The findings were validated in two independent cohorts. Among 6944 patients, PMI occurred in 1058 patients (15.2%). The predictive accuracy as quantified by the area under the receiver operating characteristic curve was 0.73 [95% confidence interval (CI) 0.71-0.74] for Model 1, 0.75 (95% CI 0.74-0.77) for Model 2, 0.79 (95% CI 0.77-0.80) for Model 3, and 0.74 for hs-cTnT alone. Model 3 included 10 preoperative variables: age, body mass index, known coronary artery disease, metabolic equivalent >4, risk of surgery, emergency surgery, planned duration of surgery, haemoglobin, platelet count, and hs-cTnT. These findings were confirmed in both independent validation cohorts (n = 722 and n = 966).

conclusionPreoperative cTn adds incremental value above patient- and procedure-related variables as well as routine laboratory variables in the prediction of PMI.

Indexed as

Heart DiseasesMyocardial InfarctionAgedBiomarkersHumansROC CurveTroponin TBiomarkersTroponin TDiagnostic screening programmeHigh-sensitivity troponinPerioperative carePerioperative myocardial injuryPreoperative careTroponin

Identifiers

PMID37548292
PMCPMC10655147
OpenAlexW4385619683

What OpenQuestion holds

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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.