Evidence map›Paper›PMID 38052734›Full record

Observational studyEuropean journal of pediatrics2024

Assessing the diagnostic accuracy of lung ultrasound in determining invasive ventilation needs in neonates on non-invasive ventilation: An observational study from a tertiary NICU in India.

Lokesh Kumar Vc, Vinod Kumar Reddy Patla, Praveen Rao Vadije, Srinivas Murki, Sreeram Subramanian, Gnanavelu Injeti, Karthikeya Nagula, Mounika Vadyala, Mehak Garg, Shivani Thirunagari

Abstract readObservational Study
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In one paragraph

Observational study in European journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Lokesh Kumar VcDepartment of Neonatology, Paramitha Children's Hospital, Hyderabad, Telangana, India.
Vinod Kumar Reddy PatlaDepartment of Neonatology, Paramitha Children's Hospital, Hyderabad, Telangana, India.
Praveen Rao VadijeDepartment of Neonatology, Paramitha Children's Hospital, Hyderabad, Telangana, India. Pravinv2107@gmail.com.ORCID http://orcid.org/0000-0003-1175-2286
Srinivas MurkiDepartment of Neonatology, Paramitha Children's Hospital, Hyderabad, Telangana, India.
Sreeram SubramanianDepartment of Neonatology, Paramitha Children's Hospital, Hyderabad, Telangana, India.
Gnanavelu InjetiDepartment of Neonatology, Paramitha Children's Hospital, Hyderabad, Telangana, India.
Karthikeya NagulaDepartment of Neonatology, Paramitha Children's Hospital, Hyderabad, Telangana, India.
Mounika VadyalaDepartment of Neonatology, Paramitha Children's Hospital, Hyderabad, Telangana, India.
Mehak GargDepartment of Neonatology, Paramitha Children's Hospital, Hyderabad, Telangana, India.
Shivani ThirunagariDepartment of Neonatology, Paramitha Children's Hospital, Hyderabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective management of neonatal respiratory distress requires timely recognition of when to transition from non-invasive to invasive ventilation. Although the lung ultrasound score (LUS) is useful in evaluating disease severity and predicting the need for surfactants, its efficacy in identifying neonates requiring invasive ventilation has only been explored in a few studies. This study aims to assess the accuracy of LUS in determining the need for invasive ventilation in neonates on non-invasive ventilation (NIV) support. From July 2021 to June 2023, we conducted a prospective study on 192 consecutively admitted neonates with respiratory distress needing NIV within 24 h of birth at our NICU in Hyderabad, India. The primary objective was the diagnostic accuracy of LUS in determining the need for invasive ventilation within 72 h of initiating NIV. We calculated LUS using the scoring system of Brat et al. (JAMA Pediatr 169:e151797, [10]). Treating physicians' assessments of the need for invasive ventilation served as the reference standard for evaluating LUS effectiveness. Out of 192 studied neonates, 31 (16.1%) required invasive ventilation. The median LUS was 5 (IQR: 2-8) for those on NIV and 10 (IQR: 7-12) for those needing invasive ventilation. The LUS had a strong discriminative ability for invasive ventilation with an AUC (area under the curve) of 0.825 (CI: 0.75-0.86, p = 0.0001). An LUS > 7 had 77.4% sensitivity (95% CI: 58.9-90.8%), 75.1% specificity (95% CI: 67.8-81.7%), 37.5% positive predictive value (PPV) (95% CI: 30.15-45.5%), 94.5% negative predictive value (NPV) (95% CI: 89.9-97.1%), 3.1 positive likelihood ratio (PLR) (95% CI: 2.2-4.3), 0.3 negative likelihood ratio (NLR) (95% CI: 0.15-0.58), and 75.5% overall accuracy (95% CI: 68.8-81.4%) for identifying invasive ventilation needs. In contrast, SAS, with a cutoff point greater than 5, has an AUC of 0.67. It demonstrates 62.5% sensitivity, 61.9% specificity, 24.7% PPV, 89.2% NPV, and an overall diagnostic accuracy of 61.9%. The DeLong test confirms the significance of this difference (AUC difference: 0.142, p = 0.04), underscoring LUS's greater reliability for NIV failure.  Conclusion: This study underscores the diagnostic accuracy of the LUS cutoff of > 7 in determining invasive ventilation needs during the initial 72 h of NIV. Importantly, while lower LUS values typically rule out the need for ventilation, higher values, though indicative, are not definitive. What is known? • The effectiveness of lung ultrasound in evaluating disease severity and the need for surfactants in neonates with respiratory distress is well established. However, traditional indicators for transitioning from non-invasive to invasive ventilation, like respiratory distress and oxygen levels, have limitations, underscoring the need for reliable, non-invasive assessment tools. What is new? • This study reveals that a LUS over 7 accurately discriminates between neonates requiring invasive ventilation and those who do not. Furthermore, the lung ultrasound score outperformed the Silverman Andersen score for NIV failure in our population.

Indexed as

Noninvasive VentilationRespiratory Distress SyndromeRespiratory Distress Syndrome, NewbornHumansInfant, NewbornIntensive Care Units, NeonatalLungProspective StudiesReproducibility of ResultsSurface-Active AgentsUltrasonographySurface-Active AgentsDiagnostic accuracyLung ultrasoundLung ultrasound scoreNeonatesNon-invasive ventilation failureSilverman Andersen score

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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.