Evidence map›Paper›PMID 32758264›Full record

ArticleItalian journal of pediatrics2020

Evaluation of hemodynamics in healthy term neonates using ultrasonic cardiac output monitor.

Daniela Doni, Silvia Nucera, Camilla Rigotti, Elena Arosio, Valeria Cavalleri, Monica Ronconi, Maria Luisa Ventura, Tiziana Fedeli

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Italian journal of pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05961657 (Hemodynamic Evaluation in Preterm Babies Using UltraSonic Cardiac Output Monitor), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 35% 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.

NCT05961657 unknown statusnot on this mapstarted 2023, after this paper: background citation

Hemodynamic Evaluation in Preterm Babies Using UltraSonic Cardiac Output Monitor (USCOM)

TypeobservationalSponsorFondazione IRCCS San Gerardo dei TintoriRan2023 to 2023Enrolled80ConditionsVery Low Birth Weight Infant, Very Preterm Maturity of InfantArmsHemodynamic measurements by USCOM
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Neonatal reference values and nomograms of systemic vascular resistances estimated with electrical cardiometry.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Article
  3. Article
  4. Article
  5. Article
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

8 authors at 2 institutions in 1 country.

Daniela DoniNeonatal Intensive Care Unit, FMBBM, San Gerardo Hospital, Monza, Italy. danieladoni@libero.it.
Silvia NuceraUniversità Milano Bicocca, Milan, Italy. nucera.silvia@gmail.com.ORCID http://orcid.org/0000-0001-9489-142X
Camilla RigottiNeonatal Intensive Care Unit, FMBBM, San Gerardo Hospital, Monza, Italy.
Elena ArosioUniversità Milano Bicocca, Milan, Italy.
Valeria CavalleriNeonatal Intensive Care Unit, FMBBM, San Gerardo Hospital, Monza, Italy.
Monica RonconiUniversità Milano Bicocca, Milan, Italy.
Maria Luisa VenturaNeonatal Intensive Care Unit, FMBBM, San Gerardo Hospital, Monza, Italy.
Tiziana FedeliNeonatal Intensive Care Unit, FMBBM, San Gerardo Hospital, Monza, Italy.
Azienda Ospedaliera San Gerardo · ITUniversity of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransition from intrauterine to extrauterine life is a critical phase during which several changes occur in cardiovascular system. In clinical practice, it is important to have a method that allows an easy, rapid and precise evaluation of hemodynamic status of a newborn for clinical management. We here propose a rapid, broadly applicable method to monitor cardiovascular function using ultrasonic cardiac output monitoring (USCOM).

methodsWe here present data obtained from a cohort of healthy term newborns (n = 43) born by programmed cesarean section at Fondazione MBBM, Ospedale San Gerardo. Measurements were performed during the first hour of life, then at 6 + 2, at 12-24, and 48 h of life. We performed a screening echocardiography to identify a patent duct at 24 h and, if patent, it was repeated at 48 h of life.

resultsWe show that physiologically, during the first 48 h of life, blood pressure and systemic vascular resistance gradually increase, while there is a concomitant reduction in stroke volume, cardiac output, and cardiac index. The presence of patent ductus arteriosus significantly reduces cardiac output (p = 0.006) and stroke volume (p = 0.023). Furthermore, newborns born at 37 weeks of gestational age display significantly lower cardiac output (p < 0.001), cardiac index (p = 0.045) and stroke volume (p < 0.001) compared to newborns born at 38 and ≥ 39 weeks. Finally, birth-weight (whether adequate, small or large for gestational age) significantly affects blood pressure (p = 0.0349), stroke volume (p < 0.0001), cardiac output (p < 0.0001) and cardiac index (p = 0.0004). In particular, LGA infants display a transient increase in cardiac index, cardiac output and stroke volume up to 24 h of life; showing a different behavior from AGA and SGA infants.

conclusionsCompared to previous studies, we expanded measurements to longer time-points and we analyzed the impact of commonly used clinical variables on hemodynamics during transition phase thus making our data clinically applicable in daily routine. We calculate reference values for each population, which can be of clinical relevance for quick bedside evaluation in neonatal intensive care unit.

Indexed as

Point-of-Care SystemsAge FactorsBlood PressureCardiac OutputCohort StudiesFemaleHemodynamic MonitoringHumansInfant, NewbornMaleReference ValuesUltrasonographyCardiovascular adaptationNeonatal hemodynamicsTransition phaseUSCOM

Identifiers

PMID32758264
PMCPMC7405450
OpenAlexW3046945114

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.