Evidence map›Paper›PMID 38504305›Full record

ArticleBMC research notes2024

Determine the factors affecting the time to recovery of children with bacterial meningitis at Jigjiga university referral hospital in the Somali Regional State of Ethiopia: using the parametric shared frailty and AFT models.

Daud Hussein Adawe, Dagne Tesfaye Mengistie

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Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

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2 authors at 1 institution in 1 country.

Daud Hussein AdaweDepartment of Statistics, College of Natural and Computational Science, Jigjiga University, Jigjiga, Ethiopia.
Dagne Tesfaye MengistieDepartment of Statistics, College of Natural and Computational Science, Jigjiga University, Jigjiga, Ethiopia. dagne.tesstat1216@gmail.com.ORCID http://orcid.org/0000-0003-2282-5946
Jigjiga University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeisseria meningitides, Streptococcus pneumonia, and hemophilic influenza type B are frequently linked to bacterial meningitis (BM) in children. It's an infectious sickness that kills and severely mobilizes children. For a variety of reasons, bacterial meningitis remains a global public health concern; most cases and deaths are found in Sub-Saharan Africa, particularly in Ethiopia. Even though vaccination has made BM more preventable, children worldwide are still severely harmed by this serious illness. Age, sex, and co-morbidity are among the risk variables for BM that have been found. Therefore, the main objective of this study was to identify the variables influencing the time to recovery for children with bacterial meningitis at Jigjiga University referral hospital in the Somali regional state of Ethiopia.

methodA retrospective cohort of 535 children with bacterial meningitis who received antibiotic treatment was the subject of this study. Parametric Shared Frailty ty and the AFT model were employed with log likelihood, BIC, and AIC methods of model selection. The frailty models all employed the patients' kebele as a clustering factor.

resultsThe number of cases of BM declined in young children during the duration of the 2 year, 11 month study period, but not in the elderly. Streptococcus pneumonia (50%), hemophilic influenza (30.5%), and Neisseria meningitides (15%) were the most frequent causes of BM. The time to recovery of patients from bacteria was significantly influenced by the covariates male patients (ϕ = 0.927; 95% CI (0.866, 0.984); p-value = 0.014), patients without a vaccination history (ϕ = 0.898; 95% CI (0.834, 0.965); P value = 0.0037), and patients who were not breastfeeding (ϕ = 0.616; 95% CI (0.404, 0.039); P-value = 0.024). The recovery times for male, non-breastfed children with bacterial patients are 7.9 and 48.4% shorter, respectively. In contrast to children with comorbidity, the recovery time for children without comorbidity increased by 8.7%.

conclusionAge group, sex, vaccination status, co-morbidity, breastfeeding, and medication regimen were the main determinant factors for the time to recovery of patients with bacterial meningitis. Patients with co-morbidities require the doctor at Jigjiga University Referral Hospital to pay close attention to them.

Indexed as

FrailtyInfluenza, HumanMeningitis, BacterialMeningitis, MeningococcalPneumoniaAgedChildChild, PreschoolEthiopiaHospitalsHumansInfantMaleReferral and ConsultationRetrospective StudiesSomaliaAFT ModelBacterial meningitisParametric frailty modelSurvival dataTime to recovery

Identifiers

PMID38504305
PMCPMC10953244
OpenAlexW4392952196

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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.