Evidence map›Paper›PMID 39180006›Full record

ArticleBMC pediatrics2024

Clinical profiles, incidence and predictors of early neonatal mortality at Mbarara Regional Referral Hospital, south-western Uganda.

Lydia Kyasimire, Leevan Tibaijuka, Moses Ochora, Musa Kayondo, Elias Kumbakumba, Josephine Nantongo, Stella Kyoyagala

Abstract read
In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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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.

Lydia KyasimireDepartment of Paediatrics and Child Health, Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda. klynda1603@gmail.com.
Leevan TibaijukaDepartment of Obstetrics and Gynaecology, Mbarara University of Science and Technology, Mbarara, Uganda.
Moses OchoraDepartment of Paediatrics and Child Health, Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda.
Musa KayondoDepartment of Obstetrics and Gynaecology, Mbarara University of Science and Technology, Mbarara, Uganda.
Elias KumbakumbaDepartment of Paediatrics and Child Health, Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda.
Josephine NantongoDepartment of Paediatrics and Child Health, Mbarara Regional Referral Hospital (MRRH), Mbarara, Uganda.
Stella KyoyagalaDepartment of Paediatrics and Child Health, Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current neonatal mortality rate in Uganda is high at 22 deaths per 1000 live births, while it had been stagnant at 27 deaths per 1000 live births in the past decade. This is still more than double the World Health Organization target of < 12 deaths per 1,000 live births. Three-quarters of new born deaths occur within the first week of life, which is a very vulnerable period and the causes reflect the quality of obstetric and neonatal care. At Mbarara Regional Referral Hospital (MRRH), the modifiable contributors and predictors of mortality remain undocumented, yet neonates make the bulk of admissions and contribute significantly to the overall infant mortality rate. We therefore examined the clinical profiles, incidence and predictors of early neonatal mortality of neonates admitted at MRRH in south-western Uganda.

methodsWe conducted a prospective cohort study at the Neonatal Unit of MRRH between August - November, 2022 among neonates. We consecutively included all live neonates aged < 7 days admitted to neonatal unit and excluded those whose outcomes could not be ascertained at day 7 of life. We obtained baseline data including; maternal social-demographic and obstetric information, and performed neonatal physical examinations for clinical profiles. We followed up neonates at 24 and 72 h of life, and at 7 days of life for mortality. We summarized the clinical profiles and incidence of mortality as frequencies and percentages and performed modified Poisson regression analysis to identify the predictors of early neonatal mortality.

resultsWe enrolled 384 neonates. The majority of neonates were in-born (68.5%, n = 263) and were admitted within 24 h after birth (54.7%, n = 210). The most common clinical profiles at admission were prematurity (46%, n = 178), low birth weight (LBW) (44%, n = 170), sepsis (36%, n = 139), hypothermia (35%, n = 133), and birth asphyxia (32%, n = 124). The incidence of early neonatal mortality was at 12.0%, 46 out of the 384 neonates died. The predictors of early neonatal mortality were hypothermia, [adjusted Risk Ratio: 4.10; 95% C.I (1.15-14.56)], birth asphyxia, [adjusted Risk Ratio: 3.6; 95% C.I (1.23-10.73)] and delayed initiation of breastfeeding, [adjusted Risk Ratio: 7.20; 95% C.I (1.01-51.30)].

conclusionPrematurity, LBW, sepsis, birth asphyxia and hypothermia are the commonest admission diagnoses. The incidence of early neonatal mortality was high, 12.0%. We recommend targeted interventions by the clinical care team at MRRH to enable timely identification of neonates with or at risk of hypothermia to reduce incidence of adverse outcomes. Intrapartum care should be improved in order to mitigate the risk of birth asphyxia. Breastfeeding within the first hour of birth should be strengthened were possible, as this is associated with vast benefits for the baby and may reduce the incidence of complications like hypothermia.

Indexed as

Infant MortalityFemaleHumansIncidenceInfantInfant, NewbornMaleProspective StudiesRisk FactorsUgandaClinical profilesEarly Neonatal MortalityPredictors of early neonatal mortality

Identifiers

PMID39180006
PMCPMC11342649

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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.