NCT03330496

Brief Summary

Pain assessments in non-verbal, critically ill infants represent an important clinical challenge. Older children or adults can easily express their pain, but infants lack that capability. They frequently experience repetitive acute pain during routine ICU care, but their analgesic management flounders on the horns of a dilemma: (a) failure to treat infant pain leads to immediate clinical instability and potentially long-term physical, behavioral, and cognitive sequelae, vs. (b) strong analgesics may increase risks for medical complications and/or impaired brain growth. Bedside nurses currently assess pain using pain scores, before taking action to ameliorate pain. Pain scores increase nursing workload and provide subjective assessments, rather than objective data for evaluating infant pain. Consequently, infants exposed to skin-breaking procedures, surgery, or other painful conditions often receive variable and inconsistent pain management in the ICU. The investigators aim to develop a multimodal pain assessment system, using sensor fusion and novel machine learning algorithms to provide an objective measure of pain that is context-dependent and rater-independent. This will enhance the quality of pain management in ICUs and allow continuous pain monitoring in real-time.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
43

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Oct 2017

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

October 24, 2017

Completed
6 days until next milestone

Study Start

First participant enrolled

October 30, 2017

Completed
7 days until next milestone

First Posted

Study publicly available on registry

November 6, 2017

Completed
3.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 29, 2021

Completed
11 months until next milestone

Study Completion

Last participant's last visit for all outcomes

March 30, 2022

Completed
Last Updated

June 8, 2022

Status Verified

June 1, 2022

Enrollment Period

3.5 years

First QC Date

October 24, 2017

Last Update Submit

June 6, 2022

Conditions

Keywords

infant-newborninfant-prematurepainacute pain

Outcome Measures

Primary Outcomes (1)

  • Pain Measurement (all infants)

    Visual Analogue Scale (VAS) measures pain intensity based on observer assessment on a scale from 1 to 10, where higher values indicate more intense pain.

    10 minutes

Secondary Outcomes (4)

  • Pain Measurement

    30 minutes

  • Pain Measurement (newborns 0-30 days)

    5 minutes

  • Pain Measurement (newborns 0-30 days)

    8 minutes

  • Pain Measurement (infants 1-6 months)

    3 minutes

Study Arms (4)

Preterm infants

preterm neonates (34-37 weeks gestational age, n=15)

Other: Pain Measurement

Term infants

term newborns (37-42 weeks gestation, n=15)

Other: Pain Measurement

Small infants

1-3 month-old infants (n=15)

Other: Pain Measurement

Older infants

3-6 month-old infants (n=15)

Other: Pain Measurement

Interventions

Measurement of infant responses (behavioral and physiological) during a painful procedure.

Older infantsPreterm infantsSmall infantsTerm infants

Eligibility Criteria

Age1 Day - 6 Months
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17)
Sampling MethodNon-Probability Sample
Study Population

We will collect data from 30 study subjects in each of the following age groups: * Preterm infants (34-37 weeks, postnatal age 3-30 days) * Term newborns (37-42 weeks gestation, less than 1 month of age) * Infants from 1-3 months age, and * Older infants from 3-6 months age. A total of 120 subjects will be recruited before study closure.

You may qualify if:

  • \. All infants less than 6 months of corrected chronological age. 2. Infants admitted to the participating ICUs at LPCH (NICU, PICU, CVICU). 3. Require an acute painful procedure for routine clinical care.

You may not qualify if:

  • Newborns with birth trauma, intrapartum asphyxia (5-minute Apgar Score \<4 or cord pH \< 7.01), fetal growth restriction (birth weight \< 5th percentile for gestation), congenital anomalies or metabolic disorders, or any kind of brain injury.
  • Newborns born to mothers with a history of heavy smoking or drug abuse (alcohol, cocaine, ketamine, heroin/other opiates) or psychiatric drugs used during this pregnancy.
  • Newborns and infants requiring positive pressure ventilation using a face mask (BiPAP) or endotracheal tube (conventional or high-frequency ventilators).
  • Newborns and infants receiving continuous infusions of opioid drugs (morphine, fentanyl, others) and nerve blocks or neuraxial analgesia affecting the site of the invasive procedure during the 24 hours prior to study entry. (Note: Infants receiving intermittent opioids or non-opioid analgesics (acetaminophen, ibuprofen, ketorolac, others) WILL NOT be excluded).
  • Newborns and infants with facial anomalies, injuries or other pathologies affecting the facial area.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Lucile Packard Children's Hospital Stanford

Palo Alto, California, 94304, United States

Location

Related Publications (2)

  • Roue JM, Avnit A, Gholami B, Haddad WM, Anand KJS. Objective Detection of Newborn Infant Acute Procedural Pain Using EEG and Machine Learning Algorithms. Paediatr Neonatal Pain. 2025 Mar 10;7(1):e70001. doi: 10.1002/pne2.70001. eCollection 2025 Mar.

  • Roue JM, Morag I, Haddad WM, Gholami B, Anand KJS. Using sensor-fusion and machine-learning algorithms to assess acute pain in non-verbal infants: a study protocol. BMJ Open. 2021 Jan 6;11(1):e039292. doi: 10.1136/bmjopen-2020-039292.

MeSH Terms

Conditions

Acute PainPremature BirthPain

Condition Hierarchy (Ancestors)

Neurologic ManifestationsSigns and SymptomsPathological Conditions, Signs and SymptomsObstetric Labor, PrematureObstetric Labor ComplicationsPregnancy ComplicationsFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital Diseases

Study Officials

  • Kanwaljeet S Anand, MBBS, D.Phil.

    Prof.

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor of Pediatrics, Anesthesiology, Perioperative & Pain Medicine

Study Record Dates

First Submitted

October 24, 2017

First Posted

November 6, 2017

Study Start

October 30, 2017

Primary Completion

April 29, 2021

Study Completion

March 30, 2022

Last Updated

June 8, 2022

Record last verified: 2022-06

Data Sharing

IPD Sharing
Will not share

No data will be shared

Locations