Evidence map›Paper›PMID 42160032›Full record

ArticleAIDS (London, England)2026

Major ECG abnormalities and risk of incident cardiovascular disease in people with HIV compared to people without HIV.

Manon C Vanbellinghen, Iris A J van der Wulp, Pieter G Postema, Jan A Kors, Maarten F Schim van der Loeff, Peter Reiss, Marc van der Valk, Anders Boyd

Abstract read
In one paragraph

Article in AIDS (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Manon C VanbellinghenAmsterdam UMC, location University of Amsterdam, Department of Infectious Diseases.
Iris A J van der WulpAmsterdam UMC, location University of Amsterdam, Department of Infectious Diseases.
Pieter G PostemaAmsterdam UMC, location University of Amsterdam, Heart Centre, Department of Cardiology, Amsterdam.
Jan A KorsDepartment of Medical Informatics, Erasmus University Medical Center, Rotterdam.
Maarten F Schim van der LoeffAmsterdam UMC, location University of Amsterdam, Department of Infectious Diseases.
Peter ReissAmsterdam UMC, location University of Amsterdam, Department of Infectious Diseases.
Marc van der ValkAmsterdam UMC, location University of Amsterdam, Department of Infectious Diseases.
Anders BoydAmsterdam UMC, location University of Amsterdam, Department of Infectious Diseases.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPeople with HIV (PWH) have an increased risk of cardiovascular disease (CVD). In the general population, major electrocardiographic (ECG) abnormalities have been associated with increased risk of incident CVD. We compared the role of major ECG abnormalities in CVD between PWH and people without HIV (PWoH).

methodsPWH and PWoH with ≥1 ECG across six biennial study visits and without prior CVD were included. Transition intensities (TI) between: no major ECG abnormality, major ECG abnormality, and CVD were estimated using a multistate Markov model. Hazard ratios (HRs) were adjusted for age and BMI. Post hoc analyses explored whether inflammatory markers influenced the association between HIV-status and transitions.

resultsOverall, 1060 participants were included (540 PWH and 520 PWoH; median age = 52 years, IQR = 48-58). During a median follow-up of 10.8 years interquartile range, (IQR = 6.8-11.0), 69 (12.8%) PWH and 52 (10.0%) PWoH had any major ECG abnormality ( P = 0.16), while 65 (12%) PWH and 41 (8%) PWoH ( P  = 0.024) had an incident CVD event. There were 55 transitions from no major abnormality to major abnormality (TI = 0.76/100PY, 95% CI = 0.58-1.00) with no difference between PWH and PWoH (adjusted-HR = 1.57, 95% CI = 0.92-2.68). There were 18 transitions from major abnormality to CVD (TI = 3.38/100PY, 95% CI = 1.98-5.75), with a significantly higher TI for PWH (adjusted-HR = 3.24, 95% CI = 1.11-9.55). Adjustment for interleukin-6 attenuated the HR of HIV for this transition by 16%.

conclusionPWH with major ECG abnormalities had a significantly higher risk of incident CVD than PWoH, possibly related to systemic inflammation. Given the low probability of developing these abnormalities, routine ECG screening is unlikely to be of benefit.

Indexed as

Cardiovascular DiseasesElectrocardiographyHIV InfectionsFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk Assessmentcardiovascular diseasescohort studieselectrocardiographyheart disease risk factorsHIVprospective studies

Identifiers

PMID42160032
PMCPMC13566487

What Socratic holds

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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 Socratic graph.