Global incidence and mortality of neonatal sepsis: a systematic review and meta-analysis.

epidemiology mortality neonatology

Journal

Archives of disease in childhood
ISSN: 1468-2044
Titre abrégé: Arch Dis Child
Pays: England
ID NLM: 0372434

Informations de publication

Date de publication:
22 Jan 2021
Historique:
received: 13 07 2020
revised: 14 12 2020
accepted: 15 12 2020
entrez: 23 1 2021
pubmed: 24 1 2021
medline: 24 1 2021
Statut: aheadofprint

Résumé

Neonates are at major risk of sepsis, but data on neonatal sepsis incidence are scarce. We aimed to assess the incidence and mortality of neonatal sepsis worldwide. We performed a systematic review and meta-analysis. 13 databases were searched for the period January 1979-May 2019, updating the search of a previous systematic review and extending it in order to increase data inputs from low-income and middle-income countries (LMICs). We included studies on the population-level neonatal sepsis incidence that used a clinical sepsis definition, such as the 2005 consensus definition, or relevant ICD codes. We performed a random-effects meta-analysis on neonatal sepsis incidence and mortality, stratified according to sepsis onset, birth weight, prematurity, study setting, WHO region and World Bank income level. The search yielded 4737 publications, of which 26 were included. They accounted for 2 797 879 live births and 29 608 sepsis cases in 14 countries, most of which were middle-income countries. Random-effects estimator for neonatal sepsis incidence in the overall time frame was 2824 (95% CI 1892 to 4194) cases per 100 000 live births, of which an estimated 17.6% 9 (95% CI 10.3% to 28.6%) died. In the last decade (2009-2018), the incidence was 3930 (95% CI 1937 to 7812) per 100 000 live births based on four studies from LMICs. In the overall time frame, estimated incidence and mortality was higher in early-onset than late-onset neonatal sepsis cases. There was substantial between-study heterogeneity in all analyses. Studies were at moderate to high risk of bias. Neonatal sepsis is common and often fatal. Its incidence remains unknown in most countries and existing studies show marked heterogeneity, indicating the need to increase the number of epidemiological studies, harmonise neonatal sepsis definitions and improve the quality of research in this field. This can help to design and implement targeted interventions, which are urgently needed to reduce the high incidence of neonatal sepsis worldwide.

Sections du résumé

BACKGROUND BACKGROUND
Neonates are at major risk of sepsis, but data on neonatal sepsis incidence are scarce. We aimed to assess the incidence and mortality of neonatal sepsis worldwide.
METHODS METHODS
We performed a systematic review and meta-analysis. 13 databases were searched for the period January 1979-May 2019, updating the search of a previous systematic review and extending it in order to increase data inputs from low-income and middle-income countries (LMICs). We included studies on the population-level neonatal sepsis incidence that used a clinical sepsis definition, such as the 2005 consensus definition, or relevant ICD codes. We performed a random-effects meta-analysis on neonatal sepsis incidence and mortality, stratified according to sepsis onset, birth weight, prematurity, study setting, WHO region and World Bank income level.
RESULTS RESULTS
The search yielded 4737 publications, of which 26 were included. They accounted for 2 797 879 live births and 29 608 sepsis cases in 14 countries, most of which were middle-income countries. Random-effects estimator for neonatal sepsis incidence in the overall time frame was 2824 (95% CI 1892 to 4194) cases per 100 000 live births, of which an estimated 17.6% 9 (95% CI 10.3% to 28.6%) died. In the last decade (2009-2018), the incidence was 3930 (95% CI 1937 to 7812) per 100 000 live births based on four studies from LMICs. In the overall time frame, estimated incidence and mortality was higher in early-onset than late-onset neonatal sepsis cases. There was substantial between-study heterogeneity in all analyses. Studies were at moderate to high risk of bias.
CONCLUSION CONCLUSIONS
Neonatal sepsis is common and often fatal. Its incidence remains unknown in most countries and existing studies show marked heterogeneity, indicating the need to increase the number of epidemiological studies, harmonise neonatal sepsis definitions and improve the quality of research in this field. This can help to design and implement targeted interventions, which are urgently needed to reduce the high incidence of neonatal sepsis worldwide.

Identifiants

pubmed: 33483376
pii: archdischild-2020-320217
doi: 10.1136/archdischild-2020-320217
pmc: PMC8311109
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : World Health Organization
ID : 001
Pays : International

Informations de copyright

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: CF received grants from the German Federal Ministry of Education and Research (BMBF) via the Center for Sepsis Control and Care (FKZ: 01EO1002 and 01EO1502) and from the Innovation Funds of the German Government (FKZ 01VSF17010). The other authors declared no competing interests.

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Auteurs

Carolin Fleischmann (C)

Center for Sepsis Control and Care, Jena University Hospital, Jena, Germany carolin.fleischmann@med.uni-jena.de.
Institute of Infectious Diseases and Infection Control, Jena University Hospital, Jena, Germany.

Felix Reichert (F)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Berlin, Germany.
Postgraduate Training for Applied Epidemiology (PAE), Robert Koch Institute, Berlin, Germany.
European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.

Alessandro Cassini (A)

Infection Prevention and Control Hub, Integrated Health Services, World Health Organization HQ, Geneva, GE, Switzerland.

Rosa Horner (R)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Berlin, Germany.

Thomas Harder (T)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Berlin, Germany.

Robby Markwart (R)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Berlin, Germany.
Institute of General Practice and Family Medicine, Jena University Hospital, Jena, Germany.

Marc Tröndle (M)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Berlin, Germany.

Yoanna Savova (Y)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Berlin, Germany.

Niranjan Kissoon (N)

University of British Columbia and British Columbia Children's Hospital, Vancouver, British Columbia, Canada.

Peter Schlattmann (P)

Institute for Medical Statistics, Computer Science and Data Science, Jena University Hospital, Jena, Germany.

Konrad Reinhart (K)

Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.

Benedetta Allegranzi (B)

Infection Prevention and Control Hub, Integrated Health Services, World Health Organization HQ, Geneva, GE, Switzerland.

Tim Eckmanns (T)

Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Berlin, Germany.

Classifications MeSH