Evidence map›Paper›PMID 39593003›Full record

ArticleBMC infectious diseases2024

Epidemiology of healthcare-associated bloodstream infection in South African neonatal units.

Angela Dramowski, Larisse Bolton, Adrie Bekker, Arnoldus Engelbrecht, Louisa Erasmus, Aaqilah Fataar, Chandre Geldenhuys, Marlize Kunneke, Dave Le Roux, Natasha O' Connell and 7 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Angela DramowskiDepartment of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa. dramowski@sun.ac.za.
Larisse BoltonSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Adrie BekkerDepartment of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa.
Arnoldus EngelbrechtDepartment of Paediatrics, Worcester Provincial Hospital, Worcester, South Africa.
Louisa ErasmusDepartment of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa.
Aaqilah FataarDepartment of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa.
Chandre GeldenhuysDepartment of Paediatrics, Paarl Hospital, Paarl, South Africa.
Marlize KunnekeDepartment of Paediatrics, Worcester Provincial Hospital, Worcester, South Africa.
Dave Le RouxDepartment of Paediatrics, New Somerset Hospital, Cape Town, South Africa.
Natasha O' ConnellDepartment of Paediatrics, Khayelitsha District Hospital, Cape Town, South Africa.
Kessendri ReddyDivision of Medical Microbiology and Immunology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Natasha RhodaDepartment of Neonatology, Mowbray Maternity Hospital, Cape Town, South Africa.
Lloyd TookeSchool of Child and Adolescent Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Mark WatesDepartment of Paediatrics, Karl Bremer Hospital, Cape Town, South Africa.
Thandi WesselsDepartment of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa.
Cari van SchalkwykSouth African Centre for Epidemiological Modelling and Analysis (SACEMA), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Andrew WhitelawDivision of Medical Microbiology and Immunology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.

Funding

Developing a care bundle for neonatal sepsis prevention in low-resource settingsK43TW010682 · FIC · STELLENBOSCH UNIVERSITY · PI DRAMOWSKI, ANGELA · 2017 to 2020
$454k
FIC NIH HHS K43 TW010682NIH Fogarty Emerging Global Leader Award (K43) TW010682Science for Africa Foundation via the Gates Grand Challenges Africa Program GCA/MNCH/Round6/055/003
6 · The paper itself

Abstract

backgroundReports of healthcare-associated bloodstream infection (HA-BSI) epidemiology in African neonatal units are limited.

methodsWe conducted a cross-sectional study (2017-2018) in nine neonatal units in the Western Cape Province, South Africa, including central, regional and district hospitals (416 beds) using laboratory and clinical records. Patient demographics, HA-BSI rates, pathogen spectrum, and hospital outcomes and empiric antibiotic coverage rates were determined.

resultsOver two years, 23,748 neonates were admitted with unit occupancy rates ranging from 79 to 93%. 485 HA-BSI episodes occurred, with median onset at 11 (IQR 7-24) days of life. Most HA-BSI episodes (348; 72%) affected very low birth weight neonates (< 1500 g). The overall HA-BSI rate was 2.0/1000 patient days. The highest HA-BSI rate was observed at the central unit with onsite surgery (3.8/1000 patient days). Crude HA-BSI mortality was 31.8% (154/485) with two-thirds of deaths occurring within three days of BSI onset. Higher mortality was observed for Gram-negative/fungal BSI compared to Gram-positive BSI (RR 1.5; 95%CI 1.1-2.0; p = 0.01) and very preterm neonates (gestation < 32 weeks) versus ≥ 32 weeks (RR 1.5; 95%CI 1.1-2.1; p = 0.01). Mean estimated empiric antibiotic coverage rates varied by unit type: 66-79% for piperacillin-tazobactam plus amikacin, 60-76% for meropenem and 84-92% for meropenem plus vancomycin.

conclusionMost HA-BSI events affected preterm neonates at the central hospital with onsite surgery. One-third of patients with HA-BSI died, with highest mortality in preterm infants and Gram-negative/fungal BSI. Empiric antibiotic regimens provide moderate coverage of circulating pathogens but require annual review given increasing carbapenem resistance rates.

Indexed as

Anti-Bacterial AgentsCross InfectionBacteremiaCross-Sectional StudiesFemaleHumansInfant, NewbornInfant, Very Low Birth WeightIntensive Care Units, NeonatalMaleSouth AfricaAnti-Bacterial AgentsAntimicrobial resistanceBloodstream infectionHealthcare-associated infectionHospital-acquired infectionNeonatal intensive care unitNeonateNosocomialSepsis

Identifiers

PMID39593003
PMCPMC11600642

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