Research on the Early Warning Model of Children Asthma Acute Attack Based on Wearable Wrist Smart Device of Huami

NCT05243667 | Unknown DMC

• 1 other identifier: GuangzhouIRD-LSUN2
• Study Type: observational
• Target: 200
• Locations: 1 country
• Sites: 1

Brief Summary

Childhood asthma is the most common chronic respiratory disease in childhood. The essence of asthma is chronic airway inflammation and airway hyperresponsiveness.The physiological characteristics of children and adults are very different, and the compensatory ability is very strong. There are often no obvious symptoms at the early stage of attack, or only intermittent or persistent cough of different degrees, without typical chest tightness and asthma.However, at this time, certain physiological indicators such as blood oxygen, heart rate, respiratory rate may have been significantly abnormal.If the disease continues to deteriorate and progresses to decompensation, it can quickly move from an asymptomatic state to a failure stage.Therefore, dynamic and accurate acquisition of real-time vital signs and assessment is of great significance for early warning and improvement of prognosis of asthma attacks in children.Intelligent wearable devices can be used to acquire real-time physiological index data of users, such as heart rate, blood oxygen, exercise and sleep dynamic data.An in-depth analysis of long-term and multi-scene dynamic data before and after asthma attacks can establish an early warning model for children with acute asthma attacks by wearable wrist smart devices, which may provide important help for severity assessment, follow-up tracking and out-of-hospital prevention and control of the disease.

Conditions

Asthma in Children

Keywords

Wearable wrist Smart Device

Outcome Measures

Primary Outcomes (4)

• Heart rate

  Follow-up monitoring of confirmed asthma patients was conducted based on intelligent wearable devices, and multiple physiological parameters such as heart rate were collected in the pre-attack, attack and remission stages

  up to 24 weeks

• blood oxygen

  Follow-up monitoring of confirmed asthma patients was conducted based on intelligent wearable devices, and blood oxygen were collected in the pre-attack, attack and remission stages

  up to 24 weeks

• exercise

  Follow-up monitoring of confirmed asthma patients was conducted based on intelligent wearable devices, and exercise were collected in the pre-attack, attack and remission stages

  up to 24 weeks

• sleep

  Follow-up monitoring of confirmed asthma patients was conducted based on intelligent wearable devices, and sleep were collected in the pre-attack, attack and remission stages

  up to 24 weeks

Secondary Outcomes (2)

• weight

  up to 24 weeks

• height

  up to 24 weeks

Interventions

Wearable wrist Smart Device of Huami OTHER

All enrolled patients underwent continuous monitoring by wearing huami blood oxygen testing equipment, and signed the informed consent for the clinical trial.Smart wrist wristbands will be issued, and patient information will be bound to the "Migang Health" platform, and clinical trial doctors will improve relevant personal information and clinical data.After binding to the APP "Migu Health", you can start collecting and recording dynamic data such as peripheral blood oxygen saturation, heart rate, exercise steps, sleep data, etc., and upload the data once a day.

Eligibility Criteria

• Age: 3 Years - 14 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17)
• Sampling Method: Non-Probability Sample

Study Population

Children with diagnosed asthma.

You may qualify if:

• Clinical diagnosis of asthma.

You may not qualify if:

• Severe chronic diseases with organ dysfunction and dyspnea.

Sponsors & Collaborators

• Guangzhou Institute of Respiratory Disease: lead

Study Sites (1)

Guangzhou institute of respiratory disease

Guangzhou, Guangdong, 510120, China

RECRUITING

Related Publications (3)

• Kumar N, Akangire G, Sullivan B, Fairchild K, Sampath V. Continuous vital sign analysis for predicting and preventing neonatal diseases in the twenty-first century: big data to the forefront. Pediatr Res. 2020 Jan;87(2):210-220. doi: 10.1038/s41390-019-0527-0. Epub 2019 Aug 4.

  PMID: 31377752 RESULT

• Jensen CS, Aagaard H, Olesen HV, Kirkegaard H. A multicentre, randomised intervention study of the Paediatric Early Warning Score: study protocol for a randomised controlled trial. Trials. 2017 Jun 8;18(1):267. doi: 10.1186/s13063-017-2011-7.

  PMID: 28595614 RESULT

• Carew C, Cox DW. Laps or lengths? The effects of different exercise programs on asthma control in children. J Asthma. 2018 Aug;55(8):877-881. doi: 10.1080/02770903.2017.1373806. Epub 2017 Oct 16.

  PMID: 28872938 RESULT

Study Officials

• Qin C Pan, master

  Guangzhou Institute of Respiratory Disease

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Li h Sun, master

CONTACT

+86 13719240285; sunlihong9797@126.com

Sun K Huang, master

CONTACT

+86 13512750833; amwkdga@163.com

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: PROSPECTIVE
• Target Duration: 3 Years
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Clinical Professor

Study Record Dates

• First Submitted: August 15, 2021
• First Posted: February 17, 2022
• Study Start: June 1, 2021
• Primary Completion: December 30, 2024
• Study Completion: December 30, 2024
• Last Updated: February 17, 2022

Record last verified: 2022-02

Data Sharing

• IPD Sharing: Will not share

Locations

CN (1)