Risk factors associated with neonatal mortality among neonates admitted to neonatal intensive care unit of the University Teaching Hospital in Lusaka.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
04 03 2024
Historique:
received: 20 11 2023
accepted: 29 02 2024
medline: 5 3 2024
pubmed: 4 3 2024
entrez: 3 3 2024
Statut: epublish

Résumé

Globally, several children die shortly after birth and many more of them within the first 28 days of life. Sub-Sharan Africa accounts for almost half (43%) of the global neonatal death with slow progress in reduction. These neonatal deaths are associated with lack of quality care at or immediately after birth and in the first 28 days of life. This study aimed to determine the trends and risk factors of facility-based neonatal mortality in a major referral hospital in Lusaka, Zambia. We conducted retrospective analysis involving all neonates admitted in the University Teaching Hospital Neonatal Intensive Care Unit (UTH-NICU) in Lusaka from January 2018 to December 2019 (N = 2340). We determined the trends and assessed the factors associated with facility-based neonatal mortality using Generalized Linear Models (GLM) with a Poisson distribution and log link function. Overall, the facility-based neonatal mortality was 40.2% (95% CI 38.0-42.0) per 1000 live births for the 2-year period with a slight decline in mortality rate from 42.9% (95% CI 40.0-46.0) in 2018 to 37.3% (95% CI 35.0-40.0) in 2019. In a final multivariable model, home delivery (ARR: 1.70, 95% CI 1.46-1.96), preterm birth (ARR: 1.59, 95% CI 1.36-1.85), congenital anomalies (ARR: 1.59, 95% CI 1.34-1.88), low birthweight (ARR: 1.57, 95% CI 1.37-1.79), and health centre delivery (ARR: 1.48, 95% CI 1.25-1.75) were independently associated with increase in facility-based neonatal mortality. Conversely, hypothermia (ARR: 0.36, 95% CI 0.22-0.60), antenatal attendance (ARR: 0.76, 95% CI 0.68-0.85), and 1-day increase in neonatal age (ARR: 0.96, 95% CI 0.95-0.97) were independently associated with reduction in facility-based neonatal mortality. In this hospital-based study, neonatal mortality was high compared to the national and global targets. The improvement in neonatal survival observed in this study may be due to interventions including Kangaroo mother care already being implemented. Early identification and interventions to reduce the impact of risks factors of neonatal mortality in Zambia are important.

Identifiants

pubmed: 38433271
doi: 10.1038/s41598-024-56020-6
pii: 10.1038/s41598-024-56020-6
pmc: PMC10909865
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5231

Subventions

Organisme : World Health Organization
ID : 001
Pays : International

Informations de copyright

© 2024. The Author(s).

Références

World Health Organisation. Newborn Mortality. (2022). https://www.who.int/news-room/fact-sheets/detail/levels-and-trends-in-child-mortality-report-2021 Accessed 14 Sept 2023.
Hug, L. et al. National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: A systematic analysis. Lancet Glob. Health 7(6), e710–e720 (2019).
doi: 10.1016/S2214-109X(19)30163-9 pubmed: 31097275 pmcid: 6527519
Kamanga, A. et al. Reducing maternal and neonatal mortality through integrated and sustainability-focused programming in Zambia. PLoS Global Public Health 2(12), e0001162 (2022).
doi: 10.1371/journal.pgph.0001162 pubmed: 36962888 pmcid: 10021549
Norris, M. et al. A growing disadvantage of being born in an urban area? Analysing urban–rural disparities in neonatal mortality in 21 African countries with a focus on Tanzania. BMJ Glob. Health 7(1), e007544 (2022).
doi: 10.1136/bmjgh-2021-007544 pubmed: 34983787 pmcid: 8728407
Akombi, B. J. & Renzaho, A. M. Perinatal mortality in sub-Saharan Africa: A meta-analysis of demographic and health surveys. Ann. Global Health 85(1) (2019).
Tekelab, T. et al. The impact of antenatal care on neonatal mortality in sub-Saharan Africa: A systematic review and meta-analysis. PLoS ONE 14(9), e0222566 (2019).
doi: 10.1371/journal.pone.0222566 pubmed: 31518365 pmcid: 6743758
Kc, A. et al. Trends for neonatal deaths in Nepal (2001–2016) to project progress towards the SDG target in 2030, and risk factor analyses to focus action. Matern. Child Health J. 24, 5–14 (2020).
doi: 10.1007/s10995-019-02826-0 pubmed: 31773465
Grady, S. C., Frake, A. N., Zhang, Q., et al. Neonatal mortality in East Africa and West Africa: A geographic analysis of district-level demographic and health survey data. Geospat. Health 12(1) (2017).
Guinsburg, R. et al. Annual trend of neonatal mortality and its underlying causes: Population-based study–São Paulo State, Brazil, 2004–2013. BMC Pediatr. 21(1), 1–9 (2021).
doi: 10.1186/s12887-021-02511-8
Yang, Y., Patterson, A. & Yimer, B. E. Cost-effectiveness comparison of the ReMiND program and the Newhints program for reducing neonatal mortality rates in the Muchinga Province of Zambia. Public Health Rev. 4(2) (2021).
Kujala, S. et al. Trends and risk factors of stillbirths and neonatal deaths in Eastern Uganda (1982–2011): A cross-sectional, population-based study. Trop. Med. Int. Health 22(1), 63–73 (2017).
doi: 10.1111/tmi.12807 pubmed: 27910181
Saloio, C. Á., Neto OLd, M., Gonçalves, D.A., et al. Magnitude and determinants of neonatal and postneonatal mortality in Goiânia, Goiás, Brazil: a retrospective cohort study, 2012. Epidemiol. Serv. Saúde 29 (2020).
Kibret, G. D., Demant, D. & Hayen, A. The effect of distance to health facility on neonatal mortality in Ethiopia. BMC Health Serv. Res. 23(1), 114 (2023).
doi: 10.1186/s12913-023-09070-x pubmed: 36737761 pmcid: 9896723
Miyoshi, Y. et al. Baby survival in Zambia: Stillbirth and neonatal death in a local hospital setting. BMC Pregn. Childbirth 19(1), 1–6 (2019).
doi: 10.1186/s12884-019-2231-9
Saleem, S. et al. Neonatal deaths in infants born weighing ≥ 2500 g in low and middle-income countries. Reprod. Health 17(2), 1–14 (2020).
Houssou, M., Hessou, Y., Sawadogo, B., et al. Neonatal mortality and risk factors in the University Hospital of the Mother and Child Lagoon in Cotonou, Benin, 2015–2016. J Interv Epidemiol Public Health 3 (2020).
Adewuyi, E. O. & Zhao, Y. Determinants of neonatal mortality in rural and urban Nigeria: Evidence from a population-based national survey. Pediatr. Int. 59(2), 190–200 (2017).
doi: 10.1111/ped.13086 pubmed: 27378178
Andegiorgish, A. K. et al. Neonatal mortality and associated factors in the specialized neonatal care unit Asmara Eritrea. BMC Public Health 20, 1–9 (2020).
doi: 10.1186/s12889-019-8118-x
Gill, C. J., Phiri-Mazala, G., Guerina, N. G., et al. Effect of training traditional birth attendants on neonatal mortality (Lufwanyama Neonatal Survival Project): Randomised controlled study. BMJ 342 (2011).
Turnbull, E. et al. Causes of stillbirth, neonatal death and early childhood death in rural Zambia by verbal autopsy assessments. Trop. Med. Int. Health 16(7), 894–901 (2011).
doi: 10.1111/j.1365-3156.2011.02776.x pubmed: 21470348 pmcid: 3594698
Shiferaw, K. et al. Neonatal mortality rate and its determinants: A community-based panel study in Ethiopia. Front. Pediatr. https://doi.org/10.3389/fped.2022.875652 (2022).
doi: 10.3389/fped.2022.875652 pubmed: 35676909 pmcid: 9169089
Mitiku, H. D. Neonatal mortality and associated factors in Ethiopia: A cross-sectional population-based study. BMC Women’s Health 21(1), 1–9 (2021).
doi: 10.1186/s12905-021-01308-2
United Nations Inter-agency Group for Child Mortality Estimation. Noenatal mortality rate for Zambia 2018. https://childmortality.org/data/Zambia Accessed 14 Sept 2023.
Freedman, L. S. Tables of the number of patients required in clinical trials using the logrank test. Stat. Med. 1(2), 121–129 (1982).
doi: 10.1002/sim.4780010204 pubmed: 7187087
Mukosha, M., Kaonga, P., Kapembwa KM, et al. Modelling mortality within 28 days among preterm infants at a tertiary hospital in Lusaka, Zambia: A retrospective review of hospital-based records. Pan Afr. Med. J. 39(1) (2021).
Holmberg, M. J. & Andersen, L. W. Estimating risk ratios and risk differences: Alternatives to odds ratios. JAMA 324(11), 1098–1099 (2020).
doi: 10.1001/jama.2020.12698 pubmed: 32930746
Naimi, A. I. & Whitcomb, B. W. Estimating risk ratios and risk differences using regression. Am. J. Epidemiol. 189(6), 508–510 (2020).
doi: 10.1093/aje/kwaa044 pubmed: 32219364
United Nations International Children’s Emergency Fund. UN inter-agency group for child mortality estimation. Levels Trends Child Mortality 2018–2019.
McClure, E. M. et al. The Global Network Maternal Newborn Health Registry: A multi-country, community-based registry of pregnancy outcomes. Reprod. Health 17, 1–11 (2020).
doi: 10.1186/s12978-020-01020-8
Orsido, T. T., Asseffa, N. A. & Berheto, T. M. Predictors of Neonatal mortality in Neonatal intensive care unit at referral Hospital in Southern Ethiopia: A retrospective cohort study. BMC Pregn. Childbirth 19, 1–9 (2019).
doi: 10.1186/s12884-019-2227-5
Mohamed, H. A. et al. Neonatal mortality and associated factors among neonates admitted to neonatal intensive care unit at public hospitals of Somali Regional State, Eastern Ethiopia: A multicenter retrospective analysis. PLoS ONE 17(5), e0268648 (2022).
doi: 10.1371/journal.pone.0268648 pubmed: 35617349 pmcid: 9135220
Gudayu, T. W., Zeleke, E. G. & Lakew, A. M. Time to death and its predictors among neonates admitted in the intensive care unit of the University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia. Res. Rep. Neonatol. 1–10. (2020).
World Health Organisation. Congenital disorders Key facts. 2023. https://www.who.int/news-room/fact-sheets/detail/birth-defects Accessed 07 Nov 2023.
Ajao, A. E. & Adeoye, I. A. Prevalence, risk factors and outcome of congenital anomalies among neonatal admissions in OGBOMOSO Nigeria. BMC Pediatr. 19(1), 1–10 (2019).
doi: 10.1186/s12887-019-1471-1
Anane-Fenin, B., Opoku, D. A. & Chauke, L. Prevalence, pattern, and outcome of congenital anomalies admitted to a neonatal unit in a low-income country—a ten-year retrospective study. Matern. Child Health J. 27(5), 837–849 (2023).
doi: 10.1007/s10995-023-03591-x pubmed: 36853373 pmcid: 10115728
Malherbe, H. L. et al. The contribution of congenital disorders to child mortality in South Africa. South African Health Rev. 2016(1), 137–152 (2016).
Doku, D. T. & Neupane, S. Survival analysis of the association between antenatal care attendance and neonatal mortality in 57 low-and middle-income countries. Int. J. Epidemiol. 46(5), 1668–1677 (2017).
doi: 10.1093/ije/dyx125 pubmed: 29040531 pmcid: 5837573
Belachew, A., Tewabe, T. & Dessie, G. Neonatal mortality and its association with antenatal care visits among live births in Ethiopia: A systematic review and meta-analysis. J. Matern-Fet. Neonat. Med. 35(2), 348–355 (2022).
doi: 10.1080/14767058.2020.1718093
Muttau, N. et al. Strengthening Kangaroo Mother Care at a tertiary level hospital in Zambia: A prospective descriptive study. PLoS ONE 17(9), e0272444 (2022).
doi: 10.1371/journal.pone.0272444 pubmed: 36048848 pmcid: 9436113
Veloso, F. C. S. et al. Analysis of neonatal mortality risk factors in Brazil: a systematic review and meta-analysis of observational studies. J. Pediatr. 95, 519–30 (2019).
doi: 10.1016/j.jped.2018.12.014
Mealing, N. M. et al. Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs. BMC Med. Res. Methodol. 10, 1–12 (2010).
doi: 10.1186/1471-2288-10-26

Auteurs

Deborah Tembo (D)

School of Public Health, Department of Epidemiology and Biostatistics, University of Zambia, Lusaka, Zambia. debotembo@gmail.com.
Zambia National Public Health Institute, Lusaka, Zambia. debotembo@gmail.com.

Francis D N Abobo (FDN)

World Health Organization Country Office, Maseru, Lesotho.

Patrick Kaonga (P)

School of Public Health, Department of Epidemiology and Biostatistics, University of Zambia, Lusaka, Zambia.

Choolwe Jacobs (C)

School of Public Health, Department of Epidemiology and Biostatistics, University of Zambia, Lusaka, Zambia.

Barnabas Bessing (B)

World Health Organization Country Office, Lusaka, Zambia.

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