Evidence map›Paper›PMID 38844386›Full record

ArticleBMJ paediatrics open2024

Evaluating a Modified Use of the Kaiser Permanente Early-onset Sepsis Risk Calculator to Reduce Antibiotic Exposure: a Retrospective Study.

Mohammed Yasir Alhindi, Faisal Ghazi Almalki, Saif Al Saif, Abdulaziz Almalahi, Mawaddah Hesham Alsaegh, Ahmed Mustafa, Mansour Abdullah AlQurashi

Abstract readMulticenter Study
In one paragraph

Article in BMJ paediatrics open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Mohammed Yasir AlhindiNeonatology Division, Department of Pediatrics, King Abdulaziz Medical City (KAMC), Ministry of National Guard Health Affairs (MNGHA), Jeddah, Saudi Arabia.
Faisal Ghazi AlmalkiDepartment of Basic Medical Sciences, College of Medicine, King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Jeddah, Saudi Arabia faisal2018.6@gmail.com.ORCID http://orcid.org/0000-0002-1843-2042
Saif Al SaifNeonatal Intensive Care Department, Women's Health Specialized Hospital, Ministry of National Guard Health Affairs (MNGHA), Riyadh, Saudi Arabia.
Abdulaziz AlmalahiKing Abdullah International Medical Research Center (KAIMRC), Jeddah, Saudi Arabia.
Mawaddah Hesham AlsaeghDepartment of Basic Medical Sciences, College of Medicine, King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Jeddah, Saudi Arabia.
Ahmed MustafaNeonatology Division, Department of Pediatrics, King Abdulaziz Medical City (KAMC), Ministry of National Guard Health Affairs (MNGHA), Jeddah, Saudi Arabia.
Mansour Abdullah AlQurashiNeonatology Division, Department of Pediatrics, King Abdulaziz Medical City (KAMC), Ministry of National Guard Health Affairs (MNGHA), Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly-onset neonatal sepsis (EONS) remains an important disease entity due to very serious adverse outcomes if left untreated. Lack of diagnostic tools in identifying healthy from diseased neonates, and clinicians' fear of the missing positive-culture sepsis babies, or babies with clinical sepsis have led to overtreating and unnecessary antibiotic exposure. Kaiser Permanente EONS risk calculator is an internally validated tool that can predict EONS. This sepsis risk calculator (SRC) classifies neonates into three subgroups: (1) ill-appearing, (2) equivocal and (3) well-appearing. We propose a modification to this tool that aims to use it solely for well-appearing babies. This modification represents a more conservative approach to decrease antibiotic exposure and offers an alternative for those hesitant to fully implement this tool.

methodsThis is a dual-centre retrospective study where data were extracted from the electronic medical records. Our primary outcome was to validate the modified use of the SRC with a two-by-two table. Specificity, negative predictive value and expected antibiotic reduction were used to evaluate the tool's feasibility.

resultAmong 770 babies suspected of EONS, the feasibility of the modified use was tested. The expected antibiotic exposure reduction rate on the modification was 40.4% overall. The proposed modification resulted in a specificity and negative predictive value of 99.28% (95% CI: 97.92% to 99.85%) and 99.5% (95% CI: 99% to 99.8%), respectively.

conclusionThe modified use of the sepsis risk calculator has shown that it can safely reduce antibiotic exposure in well-appearing babies. The modified use is used as a 'rule out' test that can identify very low risk of EONS babies, and safely minimise antibiotic exposure. Further prospective studies are needed to examine the efficacy of this use, and quality improvement projects are required to evaluate its applicability in different clinical settings.

Indexed as

Anti-Bacterial AgentsNeonatal SepsisFemaleHumansInfant, NewbornMaleRetrospective StudiesRisk AssessmentAnti-Bacterial AgentsNeonatology

Identifiers

PMID38844386
PMCPMC11163676

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.