ArticleArchives of disease in childhood. Fetal and neonatal edition2020
Genetic background of high blood pressure is associated with reduced mortality in premature neonates.
Article in Archives of disease in childhood. Fetal and neonatal edition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Umbilical Cord Quantitative Polymerase Chain Reaction and Sepsis Complications for Neonates.JAMA network open · 2026Article
- The Effect of Parental Weight and Genetics on the Body Mass Index of Very Low Birth Weight Infants as They Reach School Age.Deutsches Arzteblatt international · 2025Observational
- Diastolic Blood Pressure Alleles Improve Congenital Heart Defect Repair Outcomes.Circulation research · 2022Article
- Blood group AB increases risk for surgical necrotizing enterocolitis and focal intestinal perforation in preterm infants with very low birth weight.Scientific reports · 2021Article
- Risk Factors of Mechanical Ventilation in Premature Infants During Hospitalization.Therapeutics and clinical risk management · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 9 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of our study was to determine if a genetic background of high blood pressure is a survival factor in preterm infants.
designProspective cohort study.
settingPatients were enrolled in 53 neonatal intensive care units. PATIENTS: Preterm infants with a birth weight below 1500 g. EXPOSURES: Genetic score blood pressure estimates were calculated based on adult data. We compared infants with high genetic blood pressure estimates (>75th percentile of the genetic score) to infants with low genetic blood pressure estimates (<25th percentile of the genetic score).
main outcome measuresLowest blood pressure on the first day of life and mortality.
results5580 preterm infants with a mean gestational age of 28.1±2.2 weeks and a mean birth weight of 1022±299 g were genotyped and analysed. Infants with low genetic blood pressure estimates had significantly lower blood pressure if compared with infants with high genetic blood pressure estimates (27.3±6.2vs 27.9±6.4, p=0.009, t-test). Other risk factors for low blood pressure included low gestational age (-1.26 mm Hg/week) and mechanical ventilation (-2.24 mm Hg, p<0.001 for both variables, linear regression analysis). Mortality was significantly reduced in infants with high genetic blood pressure estimates (28-day mortality: 21/1395, 1.5% vs 44/1395, 3.2%, p=0.005, Fisher's exact test). This survival advantage was independent of treatment with catecholamines.
conclusionsOur study provides first evidence that a genetic background of high blood pressure may be beneficial with regard to survival of preterm infants.
Indexed as
Identifiers
What OpenQuestion holds
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.