Evidence map›Paper›PMID 37313451›Full record

ArticleMedical devices (Auckland, N.Z.)2023

Low-Cost SpO2 Integrated Neonatal CPAP Device for Low Resource Setting.

Ahmed Ali Dawud, Ahmed Mohammed Abagaro

Abstract read
In one paragraph

Article in Medical devices (Auckland, N.Z.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ahmed Ali DawudSchool of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia.ORCID 0000-0002-7365-1950
Ahmed Mohammed AbagaroSchool of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: More than 60% of preterm births take place in South Asia and sub-Saharan Africa, making prematurity a primary cause of neonatal mortality. Even though continuous positive airway pressure (CPAP) is a popular treatment for respiratory distress syndrome (RDS) and is safe, practicable, and efficient for use in LMICs, it is crucial to ensure that neonates receive the full benefits of the therapy by monitoring their blood oxygen level. Methods: A centrifugal fan, power source, control system, and sensors are all included in our design. A centrifugal fan was created to provide air at positive pressure in the range of approximately 4 cmH2O to 20 cmH2O utilizing revolving blades (impeller), a DC motor, and a fixed component. The control unit contains a microcontroller to handle sensor data. The proportional-integral (PI) controller board's external potentiometer is used to set the pressure level. Results: To ascertain whether the prototype satisfies the design requirements, it was constructed and put through several iterations and testing. The proposed device's prototype was tested for accuracy, affordability, and usability. The centrifugal fan speed measurement was accurate to within 94.5%, while the oxygen concentration sensor reading was accurate to within 98.5%. Conclusion: The design investigates viability of a straightforward, inexpensive, portable SpO2 integrated neonatal CPAP device for use in the delivery room in low-resource countries and to evaluates methods for measuring flows during CPAP treatment by monitoring the level of oxygen in the blood and pressure level delivered by the device using the lowest and safest setting that yields useful results.

Indexed as

centrifugal fanCPAPhypoxemiaoxygen concentrationprematurityrespiratory distress syndrome

Identifiers

PMID37313451
PMCPMC10259578

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Registered trials

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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.