Evidence map›Paper›PMID 41742151›Full record

ArticleBMC pulmonary medicine2026

Role of High flow nasal cannula in managing Type I respiratory failure in patients with neuromuscular disorders.

Amartya Chakraborti, Sharmistha Dutta, Manas Das, Maldev Sonigra, Mohanrao Sagar Khot, Abdul Raouf Wani

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Amartya ChakrabortiDepartment of Pulmonary Medicine, Manipal EM Bypass Hospitals, 176 , Rajdanga School Road , House -Ambar, Kolkata, West Bengal, 700107, India. amartya86@gmail.com.
Sharmistha DuttaDepartment of Internal Medicine, Cleveland Clinic Fairview Hospital, Cleveland, OH, USA.
Manas DasDepartment of Internal Medicine, Cleveland Clinic Fairview Hospital, Cleveland, OH, USA.
Maldev SonigraDepartment of Pulmonary Medicine and Critical care, Bhagwan Mahavir Hospital, Pali, Rajasthan, India.
Mohanrao Sagar KhotDr Vaishampayan Memorial Government Medical College, Solapur, India.
Abdul Raouf WaniDepartment of Pulmonary Medicine ,Sleep and Critical Care medicine, AIIMS, Patna, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Management of acute Type I respiratory failure (RF) in patients with neuromuscular disorders (NMD) and myopathies poses a clinical challenge in the acute care setting. There is a lack of studies which looked into the effectiveness of High flow nasal cannula (HFNC) in acutely ill NMD patients with Type I RF. This single centre, retrospective case-series study was conducted at the RICU of a tertiary care institute in the state of Rajasthan, India, between 1 January 2020 and 31 March 2025 .All patients with a diagnosis of NMD who were admitted in RICU with Type I respiratory failure were sequentially enrolled in the study. Along with demographic and clinical data of patients, arterial blood gas analysis, routine blood and radiological investigations were incorporated in the study. Patient data was traced till the patient was discharged from the hospital or expired. Risk factors for HFNC failure were evaluated. The patient data was analysed using R version 4.5.0. Risk factors found statistically significant on univariate analyses underwent logistic regression .Odds ratio was calculated for those factors which were significant on logistic regression. p value < 0.05 was taken to be significant. In the study period, 42 patients were enrolled, out of whom, 29 (69%) patients could be successfully managed on HFNC, while 13 (31%) patients had HFNC failure. On multiple logistic regression, exacerbation of restrictive lung disease in patients with kyphoscoliosis, serum albumin and Simplified Acute Physiology Score (SAPS) 3 scores were found to be independent risk factors for HFNC failure with Odds ratio (95% CI) of 4.1(2.1-6.1), 6.9(5.2-8.6) and 5.1(3.2-7) respectively. ROX > 4.88 at 12 h had a sensitivity of 80.3% and specificity of 69.23% and an accuracy of 76.2% of predicting HFNC success. This retrospective study shows that HFNC can be an essential adjunct in managing Type I respiratory failure in patients with neuromuscular disorders.

Indexed as

CannulaNeuromuscular DiseasesOxygen Inhalation TherapyRespiratory InsufficiencyAdolescentAdultFemaleHumansIndiaLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk FactorsYoung AdultHFNCNeuromuscular disordersType I RF

Identifiers

PMID41742151
PMCPMC13041371

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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.