Evidence map›Paper›PMID 37328827›Full record

ArticleBMC pediatrics2023

Predictors of adverse short-term outcomes in late preterm infants.

Nina Mekic, Amela Selimovic, Almira Cosickic, Majda Mehmedovic, Devleta Hadzic, Evlijana Zulic, Sehveta Mustafic, Amra Serak

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Association of antenatal steroid administration with neonatal morbidities among late preterm multiple gestation infants.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Article
  6. Review
  7. 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

8 authors at 1 institution in 1 country.

Nina MekicPediatric Department, Health and Educational Medical Center Tuzla, Tuzla, Bosnia and Herzegovina. ninabrcic88@gmail.com.
Amela SelimovicClinic for Children's Diseases Tuzla, University Clinical Center Tuzla, Tuzla, Bosnia and Herzegovina.
Almira CosickicClinic for Children's Diseases Tuzla, University Clinical Center Tuzla, Tuzla, Bosnia and Herzegovina.
Majda MehmedovicClinic for Internal Medicine, University Clinical Center Tuzla, Tuzla, Bosnia and Herzegovina.
Devleta HadzicClinic for Children's Diseases Tuzla, University Clinical Center Tuzla, Tuzla, Bosnia and Herzegovina.
Evlijana ZulicClinic for Children's Diseases Tuzla, University Clinical Center Tuzla, Tuzla, Bosnia and Herzegovina.
Sehveta MustaficPolyclinic for Laboratory Diagnostics University Clinical Center Tuzla, Tuzla, Bosnia and Herzegovina.
Amra SerakPediatric Department, Health and Educational Medical Center Tuzla, Tuzla, Bosnia and Herzegovina.
University Clinical Center Tuzla · BA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfants born between 34 weeks and 36 weeks and 6 days of gestation are defined as late preterm infants (LPIs), and they account for approximately 74% of all premature births. Preterm birth (PB) remains the leading cause of infant mortality and morbidity worldwide.

aimTo analyse short-term morbidity and mortality and identify predictors of adverse outcomes in late preterm infants. PATIENTS AND

methodsIn this retrospective study, we evaluated adverse short-term outcomes of LPIs admitted to the Intensive Care Unit (ICU), Clinic for Children's Diseases, University Clinical Center Tuzla, between 01.01.2020 and 31.12.2022. The analysed data included sex, gestational age, parity, birth weight, Apgar score (i.e., assessment of vitality at birth in the first and fifth minutes after birth), and length of hospitalization in NICU, as well as short-term outcome data. Maternal risk factors we observed were: age of mother, parity, maternal morbidity during pregnancy, complications and treatment during pregnancy. LPIs with major anatomic malformations were excluded from the study. Logistic regression analysis was used to identify risk factors for neonatal morbidity among LPIs.

resultsWe analysed data from 154 late preterm newborns, most of whom were male (60%), delivered by caesarean Sect. (68.2%) and from nulliparous mothers (63.6%). Respiratory complications were the most common outcome among all subgroups, followed by CNS morbidity, infections and jaundice requiring phototherapy. The rate of almost all of the complications in the late-preterm group decreased as gestational age increased from 34 to 36 weeks. Birth weight (OR: 1,2; 95% CI: 0,9 - 2,3; p = 0,0313) and male sex (OR: 2,5; 95% CI: 1,1-5,4; p = 0,0204) were significantly and independently associated with an increased risk for respiratory morbidity, and gestational weeks and male sex were associated with infectious morbidity. None of the risk factors analysed herein were predictors of CNS morbidity in LPIs.

conclusionA younger gestational age at birth is associated with a greater risk of short-term complications among LPIs, thus highlighting the need for increased knowledge about the epidemiology of these late preterm births. Understanding the risks of late preterm birth is critical to optimizing clinical decision-making, enhancing the cost-effectiveness of endeavours to delay delivery during the late preterm period, and reducing neonatal morbidity.

Indexed as

Premature BirthBirth WeightChildFemaleGestational AgeHumansInfantInfant, NewbornInfant, PrematureMalePregnancyRetrospective StudiesIntensive care unitLate preterm infantPreterm birthShort-term outcome

Identifiers

PMID37328827
PMCPMC10276478
OpenAlexW4381047043

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.