Evidence map›Paper›PMID 41002191›Full record

ArticleEuropean journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery2025

Risk Models for Monitoring Postoperative Complication Rates After Paediatric Cardiac Surgery.

Hannah K Mitchell, Ferran Espuny-Pujol, Rodney C Franklin, Gareth Ambler, John Stickley, Julie A Taylor, Carin Van Doorn, Serban Stoica, Victor Tsang, Christina Pagel and 2 more

Abstract read
In one paragraph

Article in European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  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

12 authors.

Hannah K MitchellInfection, Immunity and Inflammation Department, University College London (UCL) Institute of Child Health, London, WC1N 1EH, United Kingdom.
Ferran Espuny-PujolClinical Operational Research Unit, UCL, London, WC1H OBT, United Kingdom.ORCID 0000-0001-9085-7400
Rodney C FranklinPediatric Cardiology Department, Royal Brompton and Harefield NHS Foundation Trust, London, SW3 6NP, United Kingdom.
Gareth AmblerDepartment of Statistical Science, UCL, London, WC1E 6BT, United Kingdom.ORCID 0000-0002-5322-7327
John StickleyDepartment of Cardiac Surgery, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, B4 6NH, United Kingdom.
Julie A TaylorClinical Operational Research Unit, UCL, London, WC1H OBT, United Kingdom.ORCID 0000-0002-7698-6991
Carin Van DoornDepartment of Pediatric Cardiac Surgery, Leeds General Infirmary, Leeds, LS1 3EX, United Kingdom.ORCID 0000-0003-2721-3279
Serban StoicaPaediatric Cardiac Surgery, Bristol Heart Institute, Bristol, BS2 8BJ, United Kingdom.ORCID 0009-0008-5063-4112
Victor TsangGreat Ormond Street Hospital NHS Biomedical Research Centre London and Institute of Cardiovascular Science UCL, London WC1N 3JH, United Kingdom.ORCID 0000-0002-2023-1266
Christina PagelClinical Operational Research Unit, UCL, London, WC1H OBT, United Kingdom.ORCID 0000-0002-2857-1628
Sonya CroweClinical Operational Research Unit, UCL, London, WC1H OBT, United Kingdom.ORCID 0000-0003-1882-5476
Katherine L BrownGreat Ormond Street Hospital NHS Biomedical Research Centre London and Institute of Cardiovascular Science UCL, London WC1N 3JH, United Kingdom.ORCID 0000-0002-0729-4959

Funding

Department of Health and Social Care's Policy Research Programme PR-R20-0318-23001National Institute for Health Research Academic Clinical Fellowship ACF-2022-18-017
6 · The paper itself

Abstract

objectivesAs postoperative mortality for paediatric cardiac surgery is very low, we aimed to develop methods for monitoring of postoperative complication rates, given their impact upon children's health and well-being.

methodsWe used national registry data to develop and evaluate a suite of risk adjustment models for the outcomes of 6 defined postoperative complications, designed for use in complication monitoring for quality assurance.

resultsThere were 23 423 30-day postoperative episodes in children under the age of 18 years undergoing cardiac surgery between 2015 and 2021 in England and Wales, with 361 (1.5%) deaths <30 days. Two hundred fifty-seven (1.9%) of 13 556 postoperative episodes in infants (<1 year) involved necrotizing enterocolitis; 158 (1.3%) of 12 408 postoperative episodes between 2018 and 2021 involved prolonged pleural effusion; and among the full sample of postoperative episodes, there were 526 (2.2%) acute neurological events, 446 (1.9%) extracorporeal life supports, 740 (3.6%) renal replacement therapies, and 1006 (4.3%) unplanned reinterventions within 30 days of surgery. The risk adjustment models were developed using clinical factors first defined for mortality monitoring. The models for prolonged pleural effusion, extracorporeal life support, and renal replacement performed very well with area under the curve (AUC) statistics >0.85. The performance of the models for necrotizing enterocolitis, acute neurological event, and unplanned reintervention was less good (AUC statistics 0.74-0.79).

conclusionsAlthough complications are more complex outcome measures than mortality, national registry data can be used to capture them and to evaluate methods for risk adjustment of these outcomes. These methods may enable future risk-adjusted monitoring of complication metrics for quality assurance.

Indexed as

Cardiac Surgical ProceduresPostoperative ComplicationsAdolescentChildChild, PreschoolEnglandFemaleHumansInfantInfant, NewbornMaleRegistriesRisk AdjustmentRisk AssessmentRisk FactorsWalescardiac surgerycare qualitycomplicationsoutcomes

Identifiers

PMID41002191
PMCPMC12515064

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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.