Evidence map›Paper›PMID 37407929›Full record

ArticleBMC pediatrics2023

Risk factors for periventricular-intraventricular haemorrhage severity in preterm infants: a propensity score-matched analysis.

Jinglan Huang, Yan Wang, Tian Tian, Tingting Zhu, Jun Tang, Qian Gao, Tao Xiong

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
6.4field-weighted citation impact, top 4% 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.

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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Jinglan Huang *Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Yan Wang *Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Tian TianDepartment of Epidemiology and Biostatistics, School of Public Health, Institute of Reproductive and Child Health, Peking University Health Science Center, Beijing, China.
Tingting ZhuDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Jun TangDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Qian Gao *Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China. Qian_Gao0522@163.com.
Tao Xiong *Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China. tao_xiong@126.com.
West China Second University Hospital of Sichuan University · CNSichuan University · CNPeking University · CNZigong First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost previous studies comparing etiological studies in infants with and without periventricular-intraventricular haemorrhage (PV-IVH) concluded that younger gestational age (GA) was associated with a higher prevalence rate of PV-IVH. However, only a few studies have examined the risk factors associated with the severity of PV-IVH after removing the influence of GA. Therefore, we investigated the risk factors apart from GA for PV-IVH severity in preterm infants less than 28 weeks.

methodsThis was a retrospective case-control study of preterm infants born in West China Second Hospital with PV-IVH between 2009 and 2020. PV-IVH was defined using cranial ultrasound screening. Preterm infants were divided into no PV-IVH and PV-IVH groups, and preterm infants with PV-IVH were divided into mild and severe PV-IVH groups. Groups were matched in a 1:1 ratio using propensity score calculated from GA. Variables were collected from infant-mother pairs. A stepwise forward multivariate logistic regression model was adopted to select factors that affected PV-IVH in preterm infants.

resultsA total of 429 preterm infants were included. The total incidence of PV-IVH in preterm infants was 55.6%, and the incidence of mild and severe PV-IVH was 28.7% and 26.9%, respectively. We matched 162 infants with no PV-IVH with 162 infants with PV-IVH. The results suggested that electrolyte disorder (OR 2.79, 95% CI: 1.34-5.77), early-onset sepsis (OR 1.76, 95% CI: 1.01-3.08), thrombocytopenia (OR 2.87, 95% CI: 1.10-7.48), invasive mechanical ventilation (OR 4.21, 95% CI: 1.86-9.55), and male sex (OR 2.16, 95% CI: 1.29-3.60) were independently associated with PV-IVH. Then, we matched 87 infants with mild PV-IVH with 87 infants with severe PV-IVH. The results suggested that electrolyte disorder (OR 2.88, 95% CI: 1.29-6.45), thrombocytopenia (OR 5.73, 95% CI: 1.91-17.14), and invasive mechanical ventilation (OR 10.54, 95% CI: 1.16-95.85) were independently associated with severity of PV-IVH.

conclusionsRegardless of GA, electrolyte disorder, early-onset sepsis, thrombocytopenia, invasive mechanical ventilation, and male sex contributed to PV-IVH in preterm infants, and electrolyte disorder, thrombocytopenia, and invasive mechanical ventilation contributed to severe PV-IVH. These risk factors may combine to predict the incidence of PV-IVH in preterm infants.

Indexed as

Infant, Premature, DiseasesSepsisCase-Control StudiesCerebral HemorrhageElectrolytesFemaleGestational AgeHumansInfantInfant, NewbornInfant, PrematureMalePropensity ScoreRetrospective StudiesRisk FactorsElectrolytesGestational agePeriventricular-intraventricular haemorrhagePreterm infantsPropensity scoreRisk factor

Identifiers

PMID37407929
PMCPMC10320876
OpenAlexW4383263643

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LicenceCC BY
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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 OpenQuestion graph.