Noninvasive Ventilation in Myasthenia Gravis.


Journal

Neurology India
ISSN: 1998-4022
Titre abrégé: Neurol India
Pays: India
ID NLM: 0042005

Informations de publication

Date de publication:
Historique:
entrez: 10 7 2020
pubmed: 10 7 2020
medline: 22 6 2021
Statut: ppublish

Résumé

Myasthenic crisis (MC) is mainly managed by invasive ventilation (IV) which is associated with prolonged intubation and ventilation and respiratory complication. To report the characteristics of patients who can be managed by noninvasive ventilation (NIV) and also predictors of NIV in myasthenia gravis (MG). In a retrospective study at tertiary care hospital in India during 2013-2015, patients with MG were evaluated. MG was diagnosed by clinical, repetitive nerve stimulation, and acetylcholine receptor antibodies. Patients were intubated based on arterial blood gas criteria. Demographic variables, Myasthenia Gravis Foundation of America (MGFA) score, and clinical examination were done. NIV success was defined if patient did not need mechanical ventilation (MV) in the management or for 72 h after extubation and was considered unsuccessful if patients required MV during this period. Twenty three out of 68 MG patients had MC, 16 patients were given NIV, and 16 IV. Median intensive care unit stay was 18 (4-94) days. Predictors of crisis were infection, bulbar weakness, MGFA > 2b, and history of crisis. NIV was the only respiratory support in 7 patients and reintubation was prevented in 3 patients. NIV failed in 9 patients. Comparison of NIV success and failure did not reveal any difference. With NIV, intubation was prevented in 7 and reintubation in 3 patients. NIV has lower incidence of complications. NIV should be tried in patients with impending MC.

Sections du résumé

BACKGROUND BACKGROUND
Myasthenic crisis (MC) is mainly managed by invasive ventilation (IV) which is associated with prolonged intubation and ventilation and respiratory complication.
AIM OBJECTIVE
To report the characteristics of patients who can be managed by noninvasive ventilation (NIV) and also predictors of NIV in myasthenia gravis (MG).
PATIENTS AND METHODS METHODS
In a retrospective study at tertiary care hospital in India during 2013-2015, patients with MG were evaluated. MG was diagnosed by clinical, repetitive nerve stimulation, and acetylcholine receptor antibodies. Patients were intubated based on arterial blood gas criteria. Demographic variables, Myasthenia Gravis Foundation of America (MGFA) score, and clinical examination were done. NIV success was defined if patient did not need mechanical ventilation (MV) in the management or for 72 h after extubation and was considered unsuccessful if patients required MV during this period.
RESULTS RESULTS
Twenty three out of 68 MG patients had MC, 16 patients were given NIV, and 16 IV. Median intensive care unit stay was 18 (4-94) days. Predictors of crisis were infection, bulbar weakness, MGFA > 2b, and history of crisis. NIV was the only respiratory support in 7 patients and reintubation was prevented in 3 patients. NIV failed in 9 patients. Comparison of NIV success and failure did not reveal any difference.
CONCLUSION CONCLUSIONS
With NIV, intubation was prevented in 7 and reintubation in 3 patients. NIV has lower incidence of complications. NIV should be tried in patients with impending MC.

Identifiants

pubmed: 32643679
pii: ni_2020_68_3_648_289001
doi: 10.4103/0028-3886.289001
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

648-651

Déclaration de conflit d'intérêts

None

Auteurs

Usha K Misra (UK)

Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.

Surendra Kumar (S)

Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.

Varun Kumar Singh (VK)

Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.

Deepanshu Dubey (D)

Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.

Jayantee Kalita (J)

Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.

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Classifications MeSH