Evidence map›Paper›PMID 39494169›Full record

ArticleFrontiers in neurology2024

Assessment of intraventricular hemorrhage risk in preterm infants using mathematically simulated cerebral blood flow.

Irina Sidorenko, Silke Brodkorb, Ursula Felderhoff-Müser, Esther Rieger-Fackeldey, Marcus Krüger, Nadia Feddahi, Andrey Kovtanyuk, Eva Lück, Renée Lampe

Abstract read
In one paragraph

Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  4. Review
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

9 authors.

Irina SidorenkoDepartment of Clinical Medicine, Center for Digital Health and Technology, Orthopedic Department, Research Unit for Pediatric Neuroorthopedics and Cerebral Palsy of the Buhl-Strohmaier Foundation, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Silke BrodkorbClinic for Neonatology, Munich Clinic Harlaching & Schwabing, Munich, Germany.
Ursula Felderhoff-MüserDepartment of Pediatrics I, Neonatology, Paediatric Intensive Care, Paediatric Infectious Diseases, Paediatric Neurology, Centre for Translational Neuro-and Behavioural Sciences, University Hospital Essen, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany.
Esther Rieger-FackeldeyClinic and Policlinic for Neonatology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Marcus KrügerClinic for Neonatology, Munich Clinic Harlaching & Schwabing, Munich, Germany.
Nadia FeddahiDepartment of Pediatrics I, Neonatology, Paediatric Intensive Care, Paediatric Infectious Diseases, Paediatric Neurology, Centre for Translational Neuro-and Behavioural Sciences, University Hospital Essen, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany.
Andrey KovtanyukDepartment of Clinical Medicine, Center for Digital Health and Technology, Orthopedic Department, Research Unit for Pediatric Neuroorthopedics and Cerebral Palsy of the Buhl-Strohmaier Foundation, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Eva LückDepartment of Clinical Medicine, Center for Digital Health and Technology, Orthopedic Department, Research Unit for Pediatric Neuroorthopedics and Cerebral Palsy of the Buhl-Strohmaier Foundation, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Renée LampeDepartment of Clinical Medicine, Center for Digital Health and Technology, Orthopedic Department, Research Unit for Pediatric Neuroorthopedics and Cerebral Palsy of the Buhl-Strohmaier Foundation, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraventricular hemorrhage (IVH)4 is one of the most threatening neurological complications associated with preterm birth which can lead to long-term sequela such as cerebral palsy. Early recognition of IVH risk may prevent its occurrence and/or reduce its severity. Using multivariate logistic regression analysis, risk factors significantly associated with IVH were identified and integrated into risk scales. A special aspect of this study was the inclusion of mathematically calculated cerebral blood flow (CBF) as an independent predictive variable in the risk score. Statistical analysis was based on clinical data from 254 preterm infants with gestational age between 23 and 30 weeks of pregnancy. Several risk scores were developed for different clinical situations. Their efficacy was tested using ROC analysis, and validation of the best scores was performed on an independent cohort of 63 preterm infants with equivalent gestational age. The inclusion of routinely measured clinical parameters significantly improved IVH prediction compared to models that included only obstetric parameters and medical diagnoses. In addition, risk assessment with numerically calculated CBF demonstrated higher predictive power than risk assessments based on standard clinical parameters alone. The best performance in the validation cohort (with AUC = 0.85 and TPR = 0.94 for severe IVH, AUC = 0.79 and TPR = 0.75 for all IVH grades and FPR = 0.48 for cases without IVH) was demonstrated by the risk score based on the MAP, pH, CRP, CBF and leukocytes count.

Indexed as

cerebral blood flowimmature brainintraventricular hemorrhagemultivariate logistic regression analysispreterm birthprognostic accuracyrisk scoreROC analysis

Identifiers

PMID39494169
PMCPMC11527722

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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.