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Completed No phase listed Observational

Assessment of Pain in Newborns and Older Infants (Infant Pain Assessment Study =

ClinicalTrials.gov ID: NCT03330496

Public ClinicalTrials.gov record NCT03330496. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.

ClinicalTrials.gov public records Last synced Sep 8, 2026, 7:14 PM EDT

Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.

Official title

Using Machine-learning Algorithms to Assess Acute Pain in Nonverbal Infants

Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

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.

Study identification

NCT ID
NCT03330496
Recruitment status
Completed
Study type
Observational
Phase
Not listed
Lead sponsor
Stanford University
Other
Enrollment
43 participants

Conditions and interventions

Conditions

Interventions

Other

Eligibility (public fields only)

Age range
1 Day to 6 Months
Sex
All
Healthy volunteers
Healthy volunteers not accepted

This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.

Study timeline

Start date
Oct 29, 2017
Primary completion
Apr 28, 2021
Completion
Mar 29, 2022
Last update posted
Jun 7, 2022

2017 – 2022

United States locations

U.S. sites
1
U.S. states
1
U.S. cities
1
Facility City State ZIP Site status
Lucile Packard Children's Hospital Stanford Palo Alto California 94304

Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.

About this trial record page

What this page shows
Public field values for ClinicalTrials.gov record NCT03330496, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
What this page does not do
No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
Where the data comes from
Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
Last refresh
Last update posted Jun 7, 2022 · Synced Sep 8, 2026

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The complete protocol, eligibility criteria, and contact information for NCT03330496 live on ClinicalTrials.gov.

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