Evidence map›Paper›PMID 42482026›Full record

ArticleBMC pediatrics2026

Predictive value of cerebral doppler resistive index in premature infants with hemodynamically significant patent ductus arteriosus.

Burak Ceran, Evrim Alyamaç Dizdar, Rana Beyoğlu, Nahide Kutbay Altuğ, Esin Okman, Davut Bozkaya, Mustafa Şenol Akın, Fatma Nur Sari

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Article in BMC pediatrics, 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Burak CeranDepartment of Neonatology, Ankara Bilkent City Hospital, NICU, University of Health Sciences, Ankara, Türkiye. ceran_burak@yahoo.com.ORCID http://orcid.org/0000-0001-5914-5325
Evrim Alyamaç DizdarDepartment of Neonatology, Ankara Bilkent City Hospital, NICU, University of Health Sciences, Ankara, Türkiye.ORCID http://orcid.org/0000-0001-8956-0917
Rana BeyoğluDepartment of Pediatric Radiology, Ankara Bilkent City Hospital, University of Health Sciences, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-2988-639X
Nahide Kutbay AltuğDepartment of Pediatric Cardiology, Ankara Bilkent City Hospital, University of Health Sciences, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-8344-682X
Esin OkmanDepartment of Neonatology, Ankara Bilkent City Hospital, NICU, University of Health Sciences, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-0846-4032
Davut BozkayaDepartment of Neonatology, Ankara Bilkent City Hospital, NICU, University of Health Sciences, Ankara, Türkiye.ORCID http://orcid.org/0000-0001-5548-7387
Mustafa Şenol AkınDepartment of Neonatology, Ankara Bilkent City Hospital, NICU, University of Health Sciences, Ankara, Türkiye.ORCID http://orcid.org/0000-0003-0055-8277
Fatma Nur SariDepartment of Neonatology, Ankara Bilkent City Hospital, NICU, University of Health Sciences, Ankara, Türkiye.ORCID http://orcid.org/0000-0003-4643-7622

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate cerebral Doppler ultrasonography parameters for predicting hemodynamically significant patent ductus arteriosus (hsPDA) in very premature infants.

methodsThis prospective cohort study included preterm infants (gestational age [GA] ≤ 30 weeks) who were admitted to a tertiary neonatal intensive care unit. Blood flow velocities, resistive and pulsatility indices of anterior cerebral artery (ACA) were measured at the first 24 and 72 h of life using transcranial Doppler ultrasound. The pediatric cardiologist performed echocardiographic evaluations of all infants at 72 h postnatally.

resultsA total of 77 infants (27 and 50 in the hsPDA and non-hsPDA groups) were included. Mean GA was 27.9 ± 2 and 28.6 ± 1.6 weeks, and mean birth weight was 1056 ± 248 and 1106 ± 269 g in the hsPDA and non-hsPDA groups, respectively; (p = 0.094, p = 0.46). Infants in the hsPDA group had significantly higher pulsatility index and resistive index (RI) than those in the non-hsPDA group at 24 h (p < 0.001 and p < 0.001, respectively). Multivariate analysis revealed that ACA RI above 0.75 at 24 h was an independent predictor for hsPDA.

conclusionACA RI measurement may have a potential role, in combination with other clinical parameters, in the early prediction of hsPDA in premature infants; however, further studies are required to validate these findings.

Indexed as

Anterior Cerebral ArteryCerebrovascular CirculationDuctus Arteriosus, PatentInfant, Premature, DiseasesUltrasonography, Doppler, TranscranialVascular ResistanceBlood Flow VelocityFemaleGestational AgeHemodynamicsHumansInfant, NewbornInfant, PrematureMalePredictive Value of TestsProspective StudiesAnterior cerebral arteryCranial Doppler ultrasonographyPatent ductus arteriosusPremature

Identifiers

PMID42482026
PMCPMC13681782

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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.