Evidence map›Paper›PMID 39961700›Full record

ArticleOpen heart2025

Peripandemic outcomes of infants treated for sentinel congenital heart diseases in England and Wales.

Qi Huang, Deborah A Lawlor, John Nolan, Ferran Espuny-Pujol, Massimo Caputo, Christina Pagel, Sonya Crowe, Rodney Cg Franklin, Kate L Brown, CVD-COVID-UK/COVID-IMPACT Consortium

Abstract readMulticenter Study
In one paragraph

Article in Open heart, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

10 authors.

Qi HuangClinical Operational Research Unit, Department of Mathematics, University College London, London, UK.ORCID http://orcid.org/0000-0003-4456-2999
Deborah A LawlorPopulation Health Science,Bristol Medical School, University of Bristol, Bristol, UK.
John NolanBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.ORCID http://orcid.org/0000-0002-5342-0514
Ferran Espuny-PujolDepartment of Computer Science, University of Reading, Reading, UK.ORCID http://orcid.org/0000-0001-9085-7400
Massimo CaputoCardiac Surgery, Translational Health Sciences, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0001-7508-0891
Christina PagelClinical Operational Research Unit, Department of Mathematics, University College London, London, UK.ORCID http://orcid.org/0000-0002-2857-1628
Sonya CroweClinical Operational Research Unit, Department of Mathematics, University College London, London, UK.ORCID http://orcid.org/0000-0003-1882-5476
Rodney Cg FranklinPaediatric Cardiology, Royal Brompton & Harefield NHS Foundation Trust, London, UK.ORCID http://orcid.org/0000-0002-1096-6242
Kate L BrownCardiorespiratory, NIHR Great Ormond Street Hospital Biomedical Research Centre, London, UK sejjklb@ucl.ac.uk.ORCID http://orcid.org/0000-0002-0729-4959
CVD-COVID-UK/COVID-IMPACT Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfants with congenital heart disease (CHD) are clinically vulnerable to cardiac deteriorations and intercurrent infections. We aimed to quantify the impact of health system disruptions during the COVID-19 pandemic, on their clinical outcomes and whether these differed by socioeconomic and ethnic subgroups.

methodsIn this population-based cohort study, we used linked electronic healthcare datasets from England and Wales to identify infants with nine sentinel CHDs born and undergoing intervention in 2018-2022. The outcomes of cardiac intervention timing, infant mortality and hospital care utilisation, were described by birth eras, and risk factors were explored using multivariable regression.

resultsOf 4900 included infants, 1545 (31.5%) were born prepandemic (reference), 1175 (24.0%) in the transition period, 1375 (28.0%) during restrictions and 810 (16.5%) postrestrictions. The casemix was hypoplastic left heart syndrome (195; 3.9%), functionally univentricular heart (180; 3.7%), transposition (610; 13.5%), pulmonary atresia (290; 5.9%), atrioventricular septal defect (590; 12.1%), tetralogy of Fallot (820; 16.7%), aortic stenosis (225; 4.6%), coarctation (740; 15.1%) and ventricular septal defect (1200; 24.5%).Compared with prepandemic, there was no evidence for delay in treatment procedures in transition, restrictions or postrestrictions eras. Infant mortality increased for those born in the transition period, adjusted OR 1.60 (95% CI 1.06, 2.42) p=0.01, but not in restrictions or postrestrictions. The days spent at home were similar with birth in transition and restrictions, but fewer for postrestrictions, adjusted days difference -2 (95% CI -4, 0), p=0.05.Outcomes did not vary by pandemic birth era according to social characteristics. There was higher infant mortality in the deprived versus non-deprived binary category (adjusted OR 1.56 (95% CI 1.11, 2.18), p=0.004) and there were fewer days spent at home for the most versus least deprived neighbourhood quintile (adjusted difference -4 (95% CI -6, -2), p<0.001).

conclusionsSpecialist care for infants with CHD during the pandemic, in terms of pathway procedure timing and healthcare contacts, was not compromised. Increased healthcare utilisation postpandemic and heath inequality based on socioeconomic status require further evaluation.

Indexed as

Cardiac Surgical ProceduresCOVID-19Heart Defects, CongenitalEnglandFemaleHumansInfantInfant MortalityInfant, NewbornMaleRetrospective StudiesRisk FactorsSARS-CoV-2Treatment OutcomeWalesCOVID-19EpidemiologyHeart Defects, CongenitalRisk Factors

Identifiers

PMID39961700
PMCPMC11836792

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.