Evidence map›Paper›PMID 35088085›Full record

ArticlePediatrics2022

A Quality Improvement Bundle to Improve Outcomes in Extremely Preterm Infants in the First Week.

Colm P Travers, Samuel Gentle, Amelia E Freeman, Kim Nichols, Vivek V Shukla, Donna Purvis, Kalsang Dolma, Lindy Winter, Namasivayam Ambalavanan, Waldemar A Carlo and 1 more

Open access · greenAbstract read
In one paragraph

Article in Pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 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

11 authors at 3 institutions in 1 country.

Colm P TraversDivision of Neonatology, Department of Pediatrics, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Samuel GentleDivision of Neonatology, Department of Pediatrics, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Amelia E FreemanDivision of Neonatology, Department of Pediatrics, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Kim NicholsUniversity of Alabama at Birmingham Hospital, Birmingham, Alabama.
Vivek V ShuklaDivision of Neonatology, Department of Pediatrics, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Donna PurvisUniversity of Alabama at Birmingham Hospital, Birmingham, Alabama.
Kalsang DolmaDivision of Neonatology, Department of Pediatrics, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Lindy WinterDivision of Neonatology, Department of Pediatrics, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Namasivayam AmbalavananDivision of Neonatology, Department of Pediatrics, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Waldemar A CarloDivision of Neonatology, Department of Pediatrics, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Charitharth V LalDivision of Neonatology, Department of Pediatrics, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
University of Alabama at Birmingham · USUniversity of Alabama at Birmingham Hospital · USUniversity of South Alabama · US

Funding

Non-invasive oscillometry to measure lung mechanics, response to treatments, and predict longer-term pulmonary outcomes among preterm infants: a prospective cohort studyK23HL157618 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Colm Peter Travers · 2022 to 2026
$862k
Mechanisms of Pulmonary Microbiota-Induced Inflammation and Vascular Dysfunction in Neonatal Lung InjuryK08HL141652 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LAL, CHARITHARTH VIVEK · 2019 to 2023
$838k
NHLBI NIH HHS K08 HL141652NHLBI NIH HHS K23 HL157618
6 · The paper itself

Abstract

objectivesOur objective with this quality improvement initiative was to reduce rates of severe intracranial hemorrhage (ICH) or death in the first week after birth among extremely preterm infants.

methodsThe quality improvement initiative was conducted from April 2014 to September 2020 at the University of Alabama at Birmingham's NICU. All actively treated inborn extremely preterm infants without congenital anomalies from 22 + 0/7 to 27 + 6/7 weeks' gestation with a birth weight ≥400 g were included. The primary outcome was severe ICH or death in the first 7 days after birth. Balancing measures included rates of acute kidney injury and spontaneous intestinal perforation. Outcome and process measure data were analyzed by using p-charts.

resultsWe studied 820 infants with a mean gestational age of 25 + 3/7 weeks and median birth weight of 744 g. The rate of severe ICH or death in the first week after birth decreased from the baseline rate of 27.4% to 15.0%. The rate of severe ICH decreased from a baseline rate of 16.4% to 10.0%. Special cause variation in the rate of severe ICH or death in the first week after birth was observed corresponding with improvement in carbon dioxide and pH targeting, compliance with delayed cord clamping, and expanded use of indomethacin prophylaxis.

conclusionsImplementation of a bundle of evidence-based potentially better practices by using specific electronic order sets was associated with a lower rate of severe ICH or death in the first week among extremely preterm infants.

Indexed as

Perinatal MortalityAcademic Medical CentersFemaleHumansInfantInfant, Extremely PrematureInfant, NewbornIntracranial HemorrhagesMaleQuality ImprovementTreatment Outcome

Identifiers

PMID35088085
PMCPMC9677934
OpenAlexW4210588738

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.