Determinants of late-onset neonatal sepsis among neonates admitted to the neonatal intensive care unit of Arba-Minch general hospital, southern Ethiopia

被引:0
|
作者
Aydiko, Alemseged [1 ]
Gultie, Teklemariam [2 ]
Abebe, Gossa Fetene [1 ]
Ginbeto, Temesgen [3 ]
Ukke, Gebresilasea Gendisha [2 ,4 ]
机构
[1] Mizan Tepi Univ, Coll Med & Hlth Sci, Dept Midwifery, Mizan Teferi, Ethiopia
[2] Arba Minch Univ, Coll Med & Hlth Sci, Dept Midwifery, Arba Minch, Ethiopia
[3] Mizan Tepi Univ, Coll Med & Hlth Sci, Sch Publ Hlth, Mizan Teferi, Ethiopia
[4] Monash Univ, Eastern Hlth Clin Sch, Hlth Syst & Equ, Box Hill, Vic, Australia
来源
PLOS ONE | 2022年 / 17卷 / 12期
关键词
D O I
10.1371/journal.pone.0279622
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Introduction Neonatal sepsis can be either early (< 7 Days) or late-onset.7days) neonatal sepsis depending on the day of the occurrence. Despite the decrement in early onset neonatal sepsis, there is still an increment in late-onset neonatal sepsis. Ethiopian demography and health survey report showed an increment in neonatal mortality in 2019/20. Objective The objective of this study was to assess the determinants of late-onset neonatal sepsis among neonates admitted to the neonatal intensive care unit at Arba-Minch general hospital, southern Ethiopia. Methods An institution based study was conducted from March 1, 2021, to June 30, 2021 in ArbaMinch general hospital. Cases were neonates diagnosed with late-onset neonatal sepsis with their index mother chart and controls were neonates admitted with other diagnoses at the same period. Cases and controls were selected consecutively. Data extraction tool and interview which was developed by reviewing different kinds of literature was used to collect data. Data were entered by using Epi data version 3.1software and transformed to Statistical Package for Social Sciences version 25 software for analysis. The binary logistic regression model was used to assess determinants and variables with a p-value < 0.2 were transformed to multivariable logistic regression then, a p-value < 0.05 with 95% confidence interval were used to declare significant association with the outcome variable. Result A total of 180 subjects (60 cases and 120 controls) were included in this study. The mean age of neonates was 12.1 days with standard deviations of 4.3. Multivariable logistic regression analysis showed that; history of either sexually transmitted disease /urinary tract infection [AOR = 9.4; 95%CI(3.1-28.5)], being preterm (gestational age of < 37 weeks) [AOR = 4.9; 95%CI (1.7-13.7)], use of endotracheal intubation/mechanical intubation [AOR = 8.3; 95%CI (1.8-26.4)]and either mixed types of infant feeding option or formula feeding before admission [AOR = 12.7; 95%CI(3.7-42.8)]were significantly associated with late-onset neonatal sepsis. Conclusion and recommendations This study revealed that antenatal, intrapartum and postpartum factors have shown an association with late-onset neonatal sepsis. It is recommended to strengthen counseling and advice to mothers with specific risk factors of late-onset neonatal sepsis.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Determinants of neonatal mortality among neonates admitted to neonatal intensive care unit of Dessie comprehensive and specialized hospital, Northeast Ethiopia; An unmatched case-control study
    Wake, Getu Engida
    Chernet, Kalkidan
    Aklilu, Almaz
    Yenealem, Fentahun
    Fitie, Girma Wogie
    Tizazu, Michael Amera
    Mittiku, Yohannes Moges
    Chekole, Moges Sisay
    Behulu, Geremew Kindie
    FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [22] Neonatal mortality and associated factors among neonates admitted to neonatal intensive care unit of Gandhi memorial hospital in Addis Ababa, Ethiopia, 2019
    Ayichew, Metasebiya Zelalem
    Gezie, Lemma Derseh
    Gelagay, Abebaw Addis
    Bitew, Desalegn Anmut
    BMC PEDIATRICS, 2022, 22 (01)
  • [23] Neonatal mortality and associated factors among neonates admitted to neonatal intensive care unit of Gandhi memorial hospital in Addis Ababa, Ethiopia, 2019
    Metasebiya Zelalem Ayichew
    Lemma Derseh Gezie
    Abebaw Addis Gelagay
    Desalegn Anmut Bitew
    BMC Pediatrics, 22
  • [24] Predictors of respiratory distress syndrome, sepsis and mortality among preterm neonates admitted to neonatal intensive care unit in northern Ethiopia
    Gebreheat, Gdiom
    Tadesse, Beyene
    Teame, Hirut
    JOURNAL OF PEDIATRIC NURSING-NURSING CARE OF CHILDREN & FAMILIES, 2022, 63 : E113 - E120
  • [25] Magnitude of neonatal sepsis and its associated factors among neonates admitted to the neonatal intensive care unit in Hawassa Comprehensive Specialized Hospital, Sidama Regional State, Ethiopia, 2020
    Baheru, Frehiwot Sisay
    Shiferaw, Bisrat Zeleke
    Toru, Tigistu
    Gebreeyesus, Fisha Alebel
    BMC PREGNANCY AND CHILDBIRTH, 2024, 24 (01)
  • [26] Sepsis profile and outcome of preterm neonates admitted to neonatal intensive care unit of Cairo University Hospital
    Salama, Khaled
    Gad, Amira
    El Tatawy, Sarah
    EGYPTIAN PEDIATRIC ASSOCIATION GAZETTE, 2021, 69 (01)
  • [27] Sepsis profile and outcome of preterm neonates admitted to neonatal intensive care unit of Cairo University Hospital
    Khaled Salama
    Amira Gad
    Sarah El Tatawy
    Egyptian Pediatric Association Gazette, 69
  • [28] Change in Pathogens Causing Late-onset Sepsis in Neonatal Intensive Care Unit in Izmir, Turkey
    Yilmaz, Nisel Ozkalay
    Agus, Neval
    Helvaci, Mehmet
    Kose, Sukran
    Ozer, Esra
    Sahbudak, Zumrut
    IRANIAN JOURNAL OF PEDIATRICS, 2010, 20 (04) : 451 - 458
  • [29] Reduction in late-onset sepsis on relocating a neonatal intensive care nursery
    Jones, Alicia Rose
    Kuschel, Carl
    Jacobs, Susan
    Doyle, Lex W.
    JOURNAL OF PAEDIATRICS AND CHILD HEALTH, 2012, 48 (10) : 891 - 895
  • [30] Neonatal Mortality and Its Associated Factors among Neonates Admitted to Wollega University Referral Hospital Neonatal Intensive Care Unit, East Wollega, Ethiopia
    Abera, Tesfaye
    Bayisa, Lami
    Bekele, Teshome
    Dessalegn, Mulugeta
    Mulisa, Diriba
    Gamtessa, Lalisa Chewaka
    GLOBAL PEDIATRIC HEALTH, 2021, 8