Evidence map›Paper›PMID 36859489›Full record

Observational studyNeurocritical care2023

Clinical Scoring and Ultrasound-Based Diaphragm Assessment in Predicting Extubation Failure in Neurointensive Care Unit: A Single-Center Observational Study.

Divya Hirolli, Bharath Srinivasaiah, Radhakrishnan Muthuchellappan, Dhritiman Chakrabarti

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Neurocritical care, 2023. 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
1.8field-weighted citation impact, top 15% of its field
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, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Diaphragm Morphology and Function in Neurocritical Care Patients: Uncovering Key Correlations With Respiratory Muscle Strength Under Mechanical Ventilation.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2025
    Observational
  5. Observational
  6. Article
  7. 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

4 authors at 2 institutions in 1 country.

Divya HirolliDepartment of Anaesthesiology, Pain Medicine, and Critical Care, All India Institute of Medical Sciences, New Delhi, India.
Bharath SrinivasaiahDepartment of Neuroanaesthesia and Neurocritical Care, National Institute of Mental Health and Neurosciences, Bengaluru, India. bharathvinay@gmail.com.ORCID 0000-0002-7514-9446
Radhakrishnan MuthuchellappanDepartment of Neuroanaesthesia and Neurocritical Care, National Institute of Mental Health and Neurosciences, Bengaluru, India.
Dhritiman ChakrabartiDepartment of Neuroanaesthesia and Neurocritical Care, National Institute of Mental Health and Neurosciences, Bengaluru, India.
National Institute of Mental Health and Neurosciences · INAll India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients in the neurointensive care unit (NICU) fail extubation despite successful weaning from mechanical ventilation. Parameters currently used in the general intensive care unit do not accurately predict extubation success in the NICU. In this study, peak cough expiratory flow rate, ultrasound-based diaphragm function assessment, and comprehensive clinical scoring systems were measured to determine whether these new variables, in isolation or combination, could predict extubation failure successfully in the NICU.

methodsAll adult patients extubated after 48 h of mechanical ventilation in the NICU of a single tertiary care center were recruited into the prospective cohort. The patient's cough peak expiratory flow rate (C-PEFR), diaphragm function, and clinical scores were measured before extubation. C-PEFR was measured using a hand-held spirometer, diaphragm function (excursion, thickness fraction, and diaphragm contraction velocity on coughing) was assessed using ultrasound, and the clinical scores included the visual pursuit, swallowing, age, Glasgow Coma Scale for extubation (VISAGE) and respiratory insufficiency scale-intubated (RIS-i) scores. The patients requiring reintubation within 48 h were considered as extubation failure. Univariate and multivariate logistic regression analyses were done to identify predictors of extubation failure.

resultsOf the 193 patients screened, 43 were recruited, and 15 had extubation failure (20.9%). Patients with extubation failure had higher RIS-i scores (p < 0.001) and lower VISAGE scores (p = 0.043). The C-PEFR and diaphragm function (excursions and contraction velocity on coughing) were lower in patients with extubation failure but not statistically significant. The variables with p < 0.2 in univariate analysis (RIS-i, VISAGE, and diaphragm cough velocity) were subjected to multivariate regression analysis. RIS-I score remained an independent predictor (odds ratio 3.691, 95% confidence interval 1.5-8.67, p = 0.004). In a receiver operating characteristic analysis, the area under the curve for RIS-i was 0.963. An RIS-i score of 2 or more had 94% specificity and 89% sensitivity for predicting extubation failure.

conclusionsThe RIS-i score predicts extubation failure in NICU patients. The addition of ultrasound-based diaphragm measurements to the RIS-i score to improve prediction accuracy needs further study. Clinical trial registration Clinical Trials Registry of India identifier CTRI/2021/03/031923.

Indexed as

DiaphragmRespiratory InsufficiencyAdultAirway ExtubationCoughHumansProspective StudiesRespiration, ArtificialVentilator WeaningAdultAirway extubationDiaphragmNeurointensive care units

Identifiers

PMID36859489
OpenAlexW4322725354

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.