Predictors of neonatal sepsis in public referral hospitals, Northwest Ethiopia: A case control study

Despite remarkable progress in the reduction of death in under-five children, neonatal mortality has shown little or no concomitant reduction globally. It is also one of the most common causes of neonatal death in Ethiopia. Little is known on predictors of neonatal sepsis. Risk based screening and c...

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Veröffentlicht in:PloS one 2020-06, Vol.15 (6), p.e0234472-e0234472
Hauptverfasser: Akalu, Tadesse Yirga, Gebremichael, Bereket, Desta, Kalkidan Wondwossen, Aynalem, Yared Asmare, Shiferaw, Wondimeneh Shibabaw, Alamneh, Yoseph Merkeb
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container_volume 15
creator Akalu, Tadesse Yirga
Gebremichael, Bereket
Desta, Kalkidan Wondwossen
Aynalem, Yared Asmare
Shiferaw, Wondimeneh Shibabaw
Alamneh, Yoseph Merkeb
description Despite remarkable progress in the reduction of death in under-five children, neonatal mortality has shown little or no concomitant reduction globally. It is also one of the most common causes of neonatal death in Ethiopia. Little is known on predictors of neonatal sepsis. Risk based screening and commencement of treatment appreciably reduces neonatal death and illness. Therefore, the main aim of this study was to identify predictors of neonatal sepsis in public referral hospitals of Northwest Ethiopia. Institutional based unmatched case-control study was conducted among a total of 231 neonates in Debre Markos and Felege Hiwot referral hospitals from March 2018- April 2018. Neonates who fulfill the preseted criteria for sepsis were considered as cases and neonates diagnosed with other medical reasons except sepsis were controls. For each case, two consecutive controls were selected by simple random sampling method. Data were collected using structured pretested questionnaire through a face to face interview with index mothers and by reviewing neonatal record using checklist. The collected data were entered into Epi data version 3.1 and exported to STATA/ SE software version 14. Binary and multivariable logistic regression analyses were employed. Statistical significance was declared at P
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It is also one of the most common causes of neonatal death in Ethiopia. Little is known on predictors of neonatal sepsis. Risk based screening and commencement of treatment appreciably reduces neonatal death and illness. Therefore, the main aim of this study was to identify predictors of neonatal sepsis in public referral hospitals of Northwest Ethiopia. Institutional based unmatched case-control study was conducted among a total of 231 neonates in Debre Markos and Felege Hiwot referral hospitals from March 2018- April 2018. Neonates who fulfill the preseted criteria for sepsis were considered as cases and neonates diagnosed with other medical reasons except sepsis were controls. For each case, two consecutive controls were selected by simple random sampling method. Data were collected using structured pretested questionnaire through a face to face interview with index mothers and by reviewing neonatal record using checklist. The collected data were entered into Epi data version 3.1 and exported to STATA/ SE software version 14. Binary and multivariable logistic regression analyses were employed. Statistical significance was declared at P&lt;0.05. Multivariable logistic regression analysis showed that, duration of rupture of membrane ≥ 18hours was significantly associated with sepsis (AOR = 10.4, 95%CI = 2.3-46.5). The other independent predictors of neonatal sepsis were number of maternal antenatal care service ≤3 (AOR = 4.4, 95%CI = 1.7-11.5), meconium stained amniotic fluid (AOR = 3.9, 95%CI = 1.5-9.8), urinary tract infection during pregnancy (AOR = 10.8, 95% CI = 3.4-33.9), intranatal fever (AOR = 3.2, 95% CI = 1.1-9.5), first minute APGAR score &lt;7 (AOR = 3.2, 95% CI = 1.3-7.7), resuscitation at birth (AOR = 5.4, 95% CI = 1.9-15.5), nasogastric tube insertion (AOR = 3.7, 95% CI = 1.4-10.2). Neonatal invasive procedures, ANC follow up during pregnancy, different conditions during birth like meconium stained amniotic fluid, low APGAR score and resuscitation at birth were the independent predictors of neonatal sepsis.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0234472</identifier><identifier>PMID: 32579580</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Amniotic Fluid ; Apgar Score ; Biology and Life Sciences ; Birth ; Births ; Case-Control Studies ; Childbirth &amp; labor ; Data collection ; Death ; Ethiopia ; Female ; Fever ; Health risks ; Hospitals ; Hospitals, Public ; Humans ; Infant ; Infant Mortality ; Infant, Newborn ; Intensive care ; Meconium ; Medical referrals ; Medicine and Health Sciences ; Methods ; Mortality ; Mothers ; Neonatal diseases ; Neonatal screening ; Neonatal Sepsis - epidemiology ; Neonates ; Newborn babies ; Parturition ; Pediatric research ; Perinatal Death - etiology ; Pregnancy ; Prenatal Care ; Random sampling ; Reduction ; Regression analysis ; Resuscitation ; Risk factors ; Sampling methods ; Sepsis ; Statistical analysis ; Statistical sampling ; Statistics ; Urinary tract ; Urinary tract diseases ; Urinary tract infections ; Urinary Tract Infections - complications ; Urogenital system ; Vagina ; Young Adult</subject><ispartof>PloS one, 2020-06, Vol.15 (6), p.e0234472-e0234472</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Akalu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Neonatal invasive procedures, ANC follow up during pregnancy, different conditions during birth like meconium stained amniotic fluid, low APGAR score and resuscitation at birth were the independent predictors of neonatal sepsis.</description><subject>Adult</subject><subject>Amniotic Fluid</subject><subject>Apgar Score</subject><subject>Biology and Life Sciences</subject><subject>Birth</subject><subject>Births</subject><subject>Case-Control Studies</subject><subject>Childbirth &amp; labor</subject><subject>Data collection</subject><subject>Death</subject><subject>Ethiopia</subject><subject>Female</subject><subject>Fever</subject><subject>Health risks</subject><subject>Hospitals</subject><subject>Hospitals, Public</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant Mortality</subject><subject>Infant, Newborn</subject><subject>Intensive care</subject><subject>Meconium</subject><subject>Medical referrals</subject><subject>Medicine and Health 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progress in the reduction of death in under-five children, neonatal mortality has shown little or no concomitant reduction globally. It is also one of the most common causes of neonatal death in Ethiopia. Little is known on predictors of neonatal sepsis. Risk based screening and commencement of treatment appreciably reduces neonatal death and illness. Therefore, the main aim of this study was to identify predictors of neonatal sepsis in public referral hospitals of Northwest Ethiopia. Institutional based unmatched case-control study was conducted among a total of 231 neonates in Debre Markos and Felege Hiwot referral hospitals from March 2018- April 2018. Neonates who fulfill the preseted criteria for sepsis were considered as cases and neonates diagnosed with other medical reasons except sepsis were controls. For each case, two consecutive controls were selected by simple random sampling method. Data were collected using structured pretested questionnaire through a face to face interview with index mothers and by reviewing neonatal record using checklist. The collected data were entered into Epi data version 3.1 and exported to STATA/ SE software version 14. Binary and multivariable logistic regression analyses were employed. Statistical significance was declared at P&lt;0.05. Multivariable logistic regression analysis showed that, duration of rupture of membrane ≥ 18hours was significantly associated with sepsis (AOR = 10.4, 95%CI = 2.3-46.5). The other independent predictors of neonatal sepsis were number of maternal antenatal care service ≤3 (AOR = 4.4, 95%CI = 1.7-11.5), meconium stained amniotic fluid (AOR = 3.9, 95%CI = 1.5-9.8), urinary tract infection during pregnancy (AOR = 10.8, 95% CI = 3.4-33.9), intranatal fever (AOR = 3.2, 95% CI = 1.1-9.5), first minute APGAR score &lt;7 (AOR = 3.2, 95% CI = 1.3-7.7), resuscitation at birth (AOR = 5.4, 95% CI = 1.9-15.5), nasogastric tube insertion (AOR = 3.7, 95% CI = 1.4-10.2). Neonatal invasive procedures, ANC follow up during pregnancy, different conditions during birth like meconium stained amniotic fluid, low APGAR score and resuscitation at birth were the independent predictors of neonatal sepsis.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32579580</pmid><doi>10.1371/journal.pone.0234472</doi><tpages>e0234472</tpages><orcidid>https://orcid.org/0000-0002-5475-6183</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1932-6203
ispartof PloS one, 2020-06, Vol.15 (6), p.e0234472-e0234472
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_2417000207
source Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects Adult
Amniotic Fluid
Apgar Score
Biology and Life Sciences
Birth
Births
Case-Control Studies
Childbirth & labor
Data collection
Death
Ethiopia
Female
Fever
Health risks
Hospitals
Hospitals, Public
Humans
Infant
Infant Mortality
Infant, Newborn
Intensive care
Meconium
Medical referrals
Medicine and Health Sciences
Methods
Mortality
Mothers
Neonatal diseases
Neonatal screening
Neonatal Sepsis - epidemiology
Neonates
Newborn babies
Parturition
Pediatric research
Perinatal Death - etiology
Pregnancy
Prenatal Care
Random sampling
Reduction
Regression analysis
Resuscitation
Risk factors
Sampling methods
Sepsis
Statistical analysis
Statistical sampling
Statistics
Urinary tract
Urinary tract diseases
Urinary tract infections
Urinary Tract Infections - complications
Urogenital system
Vagina
Young Adult
title Predictors of neonatal sepsis in public referral hospitals, Northwest Ethiopia: A case control study
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