Evidence map›Paper›PMID 41214692›Full record

ArticleCardiovascular diabetology2025

Electronic nose for detecting abnormal glucose metabolism in heart transplant recipients.

Nynke Wijbenga, Annelot J Muntinga, Marleen M Goedendorp-Sluimer, Britt C J van Dijk, Stefan Roest, Jasper J Brugts, Kadir Caliskan, Alina A Constantinescu, Adrienne A M Zandbergen, Daniel Bos and 2 more

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In one paragraph

Article in Cardiovascular diabetology, 2025. 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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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

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3 · Its place in the literature

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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

12 authors.

Nynke WijbengaDepartment of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0003-1681-3324
Annelot J MuntingaDepartment of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0009-0004-1311-4450
Marleen M Goedendorp-SluimerDepartment of Cardiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
Britt C J van DijkDepartment of Cardiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0009-0007-3156-2232
Stefan RoestDepartment of Cardiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0003-0195-7499
Jasper J BrugtsDepartment of Cardiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-5522-9318
Kadir CaliskanDepartment of Cardiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-3293-9261
Alina A ConstantinescuDepartment of Cardiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
Adrienne A M ZandbergenDepartment of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-5056-5921
Daniel BosDepartment of Radiology and Nuclear Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-8979-2603
Merel E HellemonsDepartment of Respiratory Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-6666-5027
Olivier C ManintveldDepartment of Cardiology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands. o.manintveld@erasmusmc.nl.ORCID 0000-0002-2202-7314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-transplant diabetes mellitus (PTDM) affects up to 34% of heart transplant recipients (HTR) within five years, increasing the risk of adverse outcomes. Although the oral glucose tolerance test (OGTT) is the most sensitive method for detecting prediabetes and diabetes, it is burdensome. This study evaluates the diagnostic accuracy of exhaled breath analysis using an electronic nose (eNose) as a non-invasive alternative for detecting prediabetes or PTDM.

methodsHTR > one year post-transplant undergoing OGTT were included, along with fasting HTR with known PTDM as a control group. Exhaled breath was analyzed before glucose loading using the SpiroNose. Diagnostic performance of eNose parameters alone and combined with clinical variables was assessed using multivariate logistic regression.

resultsSeventy-six HTR were included (29% female, median age 56 years, median 7.8 years post-transplant). Of these, 18 had normal glucose tolerance, 33 had prediabetes, and 25 had PTDM (including 8 newly diagnosed). Overall, 76% had prediabetes or PTDM. eNose alone differentiated normal from abnormal glucose tolerance (prediabetes or PTDM) with an AUROC of 0.70 (95% CI 0.57-0.83), 68% accuracy, 69% sensitivity, 67% specificity, 40% negative predictive value (NPV), and 87% positive predictive value (PPV). Combining eNose with clinical parameters improved diagnostic performance (AUROC 0.88, 95% CI 0.81-0.96), achieving 78% accuracy, 71% sensitivity, 100% specificity, 51% NPV, and 100% PPV.

conclusionsPrediabetes or PTDM is common in HTR. eNose technology, especially when combined with clinical data, shows promise as a non-invasive screening tool with high specificity and PPV. This approach may reduce OGTT burden, pending further confirmation.

Indexed as

Blood GlucoseDiabetes MellitusElectronic NoseHeart TransplantationPrediabetic StateAdultAgedBiomarkersBreath TestsCase-Control StudiesFemaleGlucose Tolerance TestHumansMaleMiddle AgedPredictive Value of TestsBiomarkersBlood Glucose

Identifiers

PMID41214692
PMCPMC12604169

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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.