Evidence map›Paper›PMID 38348209›Full record

ArticleJournal of multidisciplinary healthcare2024

Hierarchical Predictors of Mortality in Neonatal Sepsis at Jimma Medical Center, Ethiopia: A Case-Control Study.

Daniel Geleta, Gemeda Abebe, Netsanet Workneh, Mekdes Ararso, Tsion Tilahun, Getenet Beyene

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Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Daniel Geleta *School of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma University, Jimma, Oromia, Ethiopia.ORCID 0000-0001-6516-0185
Gemeda Abebe *School of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma University, Jimma, Oromia, Ethiopia.ORCID 0000-0002-7172-9136
Netsanet Workneh *Department of Pediatrics and Child Health, Faculty of Medicine, Jimma University, Jimma, Oromia, Ethiopia.
Mekdes Ararso *Department of Pediatrics and Child Health, Faculty of Medicine, Jimma University, Jimma, Oromia, Ethiopia.ORCID 0009-0009-1119-3251
Tsion Tilahun *Department of Pediatrics and Child Health, Faculty of Medicine, Jimma University, Jimma, Oromia, Ethiopia.
Getenet Beyene *School of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma University, Jimma, Oromia, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal sepsis made the neonatal period the most perilous time for child survival, and it continued to cause preventable mortalities worldwide. These mortalities stem from the interaction of several factors that have not been sufficiently studied and, in some cases, remain overlooked. Thus, the study aims to investigate the predictors of mortality that arise from the interaction of these factors and quantitatively determine their etiologic fraction. Methods: A case-control study with hierarchical data input was conducted at Jimma Medical Center (JMC) in Oromia, Ethiopia, spanning from May 2022 to July 2023. It employed logistic regression to calculate adjusted odds ratios (AORs) and their corresponding 95% confidence intervals (CI) at a significance level of p ≤ 0.05. The model adjusted odds ratios (ORs) for variables within each level and farther levels and presented an etiologic fraction (EF), indicating the proportion of neonatal mortality attributable to specific factors. Results: The analysis of 67 cases and 268 controls unveiled significant predictors of mortality in sepsis that emerged from distal, intermediate, and proximal levels. In the final model, thus, rural residence [AOR 3.1; 95% CI (1.5, 6.3), p ≤ 0.01], prolonged labor [AOR 4.5; 95% CI (2.2, 9.3), p ≤ 0.01], prematurity [AOR 3.9; 95% CI (1.9, 7.9), P ≤ 0.0], gram-negative bacteremia [AOR 3.8; 95% CI (1.9, 7.6); P ≤ 0.01], convulsion [AOR 3.2; 95% CI (1.6, 6.4); P ≤ 0.03], low birth weight [AOR 2.7; 95% CI (1.3, 5.4); P≤0.01], and delayed breastfeeding [AOR 2.5; 95% CI (1.2, 4.9); P ≤ 0.01] attributed a variable percentage of mortality. Conclusion: Factors emerging and interacting at distal (residence), intermediate (prolonged labor), and proximal (prematurity, birth weight, convulsion, bacterial etiology, and feeding) levels influence neonatal mortality in sepsis at JMC. Therefore, concurrently improving rural family characteristics, managing labor duration, strengthening diagnostic stewardship, and promoting essential newborn care can actively prevent and reduce these mortalities.

Indexed as

bacteremiafactor interactionhierarchical predictorsneonatal sepsis

Identifiers

PMID38348209
PMCPMC10860391

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