Effects of NIV and CPAP on Ventilation Distribution, Measured by EIT, During Deep Sedation in Paediatric Patients

NCT ID: NCT05495477

Last Updated: 2022-08-10

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

20 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-04-20

Study Completion Date

2024-10-30

Brief Summary

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In patients undergoing spontaneous breathing (SB) deep sedation there is a re-distribution of ventilation towards lungs non-dependant areas (ventral areas in supine position).

Non-invasive ventilation (NIV), offering positive pressure, should favour a better ventilation of dependant areas (dorsal areas in supine position), making ventilation more homogeneous and increasing functional residual capacity.

Electrical impedance tomography (EIT) is a non-invasive, non-operator dependent, bedside, radiations-free diagnostic tool, feasible in paediatric patients and repeatable; it allows to study ventilation distribution, and it can measure and calculate also parameters that are related to the homogeneity of ventilation and the response to certain therapeutic maneuvers, such as anaesthesia or PEEP-application.

Uses of EIT in paediatric age are described in literature, but it has never been described as being used in Non-Operating Room Anaesthesia, nor in other cases of SB deep sedation. In addition, the impact of NIV on the distribution of ventilation in healthy paediatric patients undergoing deep sedation has never been described.

Detailed Description

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Conditions

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Respiratory Failure Sedation Mechanical Ventilation Complication

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

Primary Study Purpose

TREATMENT

Blinding Strategy

SINGLE

Participants

Study Groups

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Spontaneous breathing

Electrical impedance tomography (EIT).

Group Type ACTIVE_COMPARATOR

EIT

Intervention Type DEVICE

Evaluation of ventilation distrinution during deep sedation through EIT

CPAP mode

Electrical impedance tomography (EIT).

Group Type ACTIVE_COMPARATOR

EIT

Intervention Type DEVICE

Evaluation of ventilation distrinution during deep sedation through EIT

NIV- S/T mode

Electrical impedance tomography (EIT).

Group Type ACTIVE_COMPARATOR

EIT

Intervention Type DEVICE

Evaluation of ventilation distrinution during deep sedation through EIT

Interventions

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EIT

Evaluation of ventilation distrinution during deep sedation through EIT

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Paediatric age (from 1 to 10 years old)
* ASA score ≤ 2
* Sedation time ≥ 30 min

Exclusion Criteria

* ASA score ≥ 3
* Lung pathologies (such as asthma, bronchopulmonary dysplasia, obstructive sleep apnoea) Preterm infant
* Severe obesity
* Dorso-lumbar pathologies or other bone pathologies associated with restrictive lung disease (such as scoliosis, kyphosis)
* Neuromuscular, mitochondrial, metabolic or chromosomal disease with hypotonia
* CPAP or NIV treatment at home
* Hand-Bag Ventilation (HBV) during the procedure (loss of the respiratory drive)
* Non-Total IntraVenous Anaesthesia (TIVA), adherence to the sedation protocol
* Implantable devices not compatible with EIT (such as pace-makers and implantable cardioverter defibrillator)
Minimum Eligible Age

1 Year

Maximum Eligible Age

10 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Giovanna Chidini

Role: PRINCIPAL_INVESTIGATOR

Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico

Locations

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Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico Milano

Milan, , Italy

Site Status RECRUITING

Countries

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Italy

Central Contacts

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Giovanna Chidini, MD

Role: CONTACT

0255032242

Stefano Scalia Catenacci, MD

Role: CONTACT

0255032242

Facility Contacts

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Giovanna Chidini, MD

Role: primary

0255032242

References

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Leonhardt S, Lachmann B. Electrical impedance tomography: the holy grail of ventilation and perfusion monitoring? Intensive Care Med. 2012 Dec;38(12):1917-29. doi: 10.1007/s00134-012-2684-z. Epub 2012 Sep 20.

Reference Type BACKGROUND
PMID: 22992946 (View on PubMed)

Zhao Z, Moller K, Steinmann D, Frerichs I, Guttmann J. Evaluation of an electrical impedance tomography-based Global Inhomogeneity Index for pulmonary ventilation distribution. Intensive Care Med. 2009 Nov;35(11):1900-6. doi: 10.1007/s00134-009-1589-y. Epub 2009 Aug 4.

Reference Type BACKGROUND
PMID: 19652949 (View on PubMed)

Spinelli E, Mauri T, Fogagnolo A, Scaramuzzo G, Rundo A, Grieco DL, Grasselli G, Volta CA, Spadaro S. Electrical impedance tomography in perioperative medicine: careful respiratory monitoring for tailored interventions. BMC Anesthesiol. 2019 Aug 7;19(1):140. doi: 10.1186/s12871-019-0814-7.

Reference Type BACKGROUND
PMID: 31390977 (View on PubMed)

Bordes J, Goutorbe P, Cungi PJ, Boghossian MC, Kaiser E. Noninvasive ventilation during spontaneous breathing anesthesia: an observational study using electrical impedance tomography. J Clin Anesth. 2016 Nov;34:420-6. doi: 10.1016/j.jclinane.2016.04.016. Epub 2016 Jun 16.

Reference Type BACKGROUND
PMID: 27687426 (View on PubMed)

Humphreys S, Pham TM, Stocker C, Schibler A. The effect of induction of anesthesia and intubation on end-expiratory lung level and regional ventilation distribution in cardiac children. Paediatr Anaesth. 2011 Aug;21(8):887-93. doi: 10.1111/j.1460-9592.2011.03547.x. Epub 2011 Mar 14.

Reference Type BACKGROUND
PMID: 21395895 (View on PubMed)

Chidini G, Marchesi T, Catenacci SS, Florio G, Conti G, Lanni S, Filocamo G, Patria F, Guerrini M, Milani G, Grasselli G. Effects of Noninvasive Respiratory Support on Ventilation Distribution During Spontaneous Breathing Sedation in Preschool/School-Aged Children: An Electrical Impedance Tomography Study. Paediatr Anaesth. 2025 Jul;35(7):562-572. doi: 10.1111/pan.15098. Epub 2025 Mar 22.

Reference Type DERIVED
PMID: 40119601 (View on PubMed)

Other Identifiers

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2021/2178

Identifier Type: -

Identifier Source: org_study_id

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