Evidence map›Paper›PMID 36171508›Full record

Observational studyEuropean journal of pediatrics2022

Intraventricular hemorrhage prediction in premature neonates in the era of hemodynamics monitoring: a prospective cohort study.

Marwa Mohamed Farag, Mohamed Hazem Gouda, Ali Mohamed Abd Almohsen, Mohammed Attia Khalifa

2 registry-linked trialsOpen access · hybridAbstract readObservational Study
In one paragraph

Observational study in European journal of pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 9% of its field
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.

NCT05050032 completednot on this map

Study to Assess the Relationship Between Superior Vena Cava Flow and Intraventricular Hemorrhage in Preterm Infants

TypeobservationalSponsorMarwa Mohamed FaragRan2020 to 2021Enrolled50ConditionsPreterm Intraventricular Hemorrhage
NCT07427342 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Comparative Analysis of Cerebral Blood Flow in Term and Preterm Neonates Using Doppler Ultrasonography

TypeobservationalSponsorAssiut UniversityRan2026 to 2027Enrolled200ConditionsCerebral Blood Flow
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

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  12. Development of a machine learning model for prediction of intraventricular hemorrhage in premature neonates.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024
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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

4 authors at 1 institution in 1 country.

Marwa Mohamed FaragPediatric Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt. d.marwa.farag@gmail.com.ORCID http://orcid.org/0000-0003-0426-9018
Mohamed Hazem GoudaPediatric Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Ali Mohamed Abd AlmohsenPediatric Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Mohammed Attia KhalifaPediatric Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.ORCID http://orcid.org/0000-0002-1143-3333
Alexandria University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unstable hemodynamics and prematurity are the main players in intraventricular hemorrhage (IVH) development. Our objective was to study 8 the use of superior vena cava flow (SVCF), left ventricular output (LVO), and right ventricular output (RVO), and anterior cerebral artery (ACA) Doppler measures in prediction of IVH in the first week of life in preterm infant ≤ 32 weeks and birth weight ≤ 1500 g. This prospective cohort study was conducted in 55NICU of Alexandria University maternity hospital. Of 147 enrolled patients, 132 infants born ≤ 32 weeks GA and birth weight ≤ 1500 g were eligible for- the study. One hundred twenty-seven infants completed the study. Infants were scanned for ACA-RI using transfontanellar ultrasound, and SVCF, LVO, and RVO using functional echocardiography in the first 24 h after birth. Patients had another two scans on DOL3 and 7 to detect IVH development. Low SVCF and high ACA-RI significantly increased the risk of IVH using logistic regression models with OR, 3.16; 95%CI, 1.19-8.39; P = 0.02 and OR, 1.64; 95%Cl, 1.10-2.44; P = 0.02, respectively. Low SVCF and high ACA-RI significantly increased risk of catastrophic IVH P = 0.025 and 0.023, respectively. Combined use of low SVCF < 55 ml/kg/min and ACA-RI > 0.75 is predictor of IVH with sensitivity 40.8% and 82.1% specificity.

conclusionsThere are strong relations between both low SVCF and high ACA-RI, and IVH development in premature neonates ≤ 32 weeks and birth weight ≤ 1500 g, with more significance towards catastrophic IVH. Admission RSS and LVO are the strongest factors affecting SVCF. Maternal anemia, patent ductus arteriosus size (mm/kg), and capillary refill time were significantly associated with high ACA-RI. These findings help in more understanding of pathophysiological factors affecting central perfusion that might affect the longer term neurodeveopmental outcome.

trial registrationThis work was registered in clinical trial.gv no NCT05050032. WHAT IS KNOWN: •Whether SVCF and RI-ACA can predict IVH in preterm neonates is still debatable. WHAT IS NEW: •Low SVC flow and high ACA-RI significantly increased risk of IVH, confirming the role of hypoperfusion-reperfusion cycle in IVH development. The most striking result that combined metrics using the cut-off value of < 41 ml/kg/min for SVCF and > 0.85 for ACA-RI "in the first day of life" can correctly reject the presence of IVH in 98% of patients "during the first week of life."

Indexed as

Infant, Newborn, DiseasesInfant, Premature, DiseasesBirth WeightCerebral HemorrhageCerebrovascular CirculationFemaleHemodynamicsHumansInfant, NewbornInfant, PrematurePregnancyProspective StudiesVena Cava, SuperiorACA resistive indexFunctional echocardiographyIntraventricular hemorrhagePreterm infantSuperior vena cava flowTrans-cranial Doppler

Identifiers

PMID36171508
PMCPMC9649466
OpenAlexW4297476693

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.