Evidence map›Paper›PMID 39061763›Full record

ArticleBioengineering (Basel, Switzerland)2024

Enhancing Early Detection of Sepsis in Neonates through Multimodal Biosignal Integration: A Study of Pulse Oximetry, Near-Infrared Spectroscopy (NIRS), and Skin Temperature Monitoring.

Nicoleta Lungu, Daniela-Eugenia Popescu, Ana Maria Cristina Jura, Mihaela Zaharie, Mihai-Andrei Jura, Ioana Roșca, Mărioara Boia

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Antibiotics (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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.

Nicoleta LunguDepartment of Obstetrics-Gynecology and Neonatology, University of Medicine and Pharmacy "Victor Babeș", 300041 Timisoara, Romania.
Daniela-Eugenia PopescuDepartment of Obstetrics-Gynecology and Neonatology, University of Medicine and Pharmacy "Victor Babeș", 300041 Timisoara, Romania.ORCID 0000-0002-4986-8025
Ana Maria Cristina JuraDepartment of Obstetrics-Gynecology and Neonatology, University of Medicine and Pharmacy "Victor Babeș", 300041 Timisoara, Romania.
Mihaela ZaharieDepartment of Obstetrics-Gynecology and Neonatology, University of Medicine and Pharmacy "Victor Babeș", 300041 Timisoara, Romania.
Mihai-Andrei JuraDepartment of Health Evaluation and Promotion, Romanian National Public Health Institute, 300226 Timisoara, Romania.
Ioana RoșcaNeonatology Department, Clinical Hospital of Obstetrics and Gynecology, 060251 Bucharest, Romania.ORCID 0009-0002-4629-5820
Mărioara BoiaDepartment of Obstetrics-Gynecology and Neonatology, University of Medicine and Pharmacy "Victor Babeș", 300041 Timisoara, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis continues to be challenging to diagnose due to its non-specific clinical signs and symptoms, emphasizing the importance of early detection. Our study aimed to enhance the accuracy of sepsis diagnosis by integrating multimodal monitoring technologies with conventional diagnostic methods. The research included a total of 121 newborns, with 39 cases of late-onset sepsis, 35 cases of early-onset sepsis, and 47 control subjects. Continuous monitoring of biosignals, including pulse oximetry (PO), near-infrared spectroscopy (NIRS), and skin temperature (ST), was conducted. An algorithm was then developed in Python to identify early signs of sepsis. The model demonstrated the capability to detect sepsis 6 to 48 h in advance with an accuracy rate of 87.67 ± 7.42%. Sensitivity and specificity were recorded at 76% and 90%, respectively, with NIRS and ST having the most significant impact on predictive accuracy. Despite the promising results, limitations such as sample size, data variability, and potential biases were noted. These findings highlight the critical role of non-invasive biosensing methods in conjunction with conventional biomarkers and cultures, offering a strong foundation for early sepsis detection and improved neonatal care. Further research should be conducted to validate these results across different clinical settings.

Indexed as

biosignalsdevicesearly detectionhealth monitoringneonatal sepsisNIRSnon-invasive monitoringpreterm newbornpulse oximetryskin temperature

Identifiers

PMID39061763
PMCPMC11273471

What OpenQuestion holds

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Registered trials

None linked

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.