Heart DiseasesNCT03929133
Development of an Screening System in Children With Congenital Heart Disease Based on Cloud Computing and Big Data
An observational study of Heart Diseases, run by Xinhua Hospital, Shanghai Jiao Tong University School of Medicine at 1 site in China.
Trial summary
This study intends to establish an automatic system for screening on children with congenital heart disease, the system include the auscultation of cardiac murmur and the test of oxygen saturation, the data was analyzed based on the cloud computing. Read more about this study
- Who is it for?
- Ages Up to 10 yearsHealthy volunteers can take part
- Conditions the study is for
- Heart Diseases
- What is being tested?
- automatic screening machine on congenital heart disease
- Type of treatment
- Medical device
- How many people
- 1,000 participants
- Where
- 1 siteChina
- Study dates
- Jan 2017to Dec 2019
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Up to 10 years
- All sexes
- Healthy volunteers accepted
- Child
Study population: This study include between between newborn to 10 years old.Heart sound signal need to be collected to analyze children's heart health status and creat a special model of each kind of CHD.
Who may be able to join
- Neonatal ward patients
- Patients with echocardiography reports
Who cannot join
- Severe pneumonia
Trial locations and contacts
1 site in 1 country.
China1 site, 1 recruiting
- Recruiting
Zhao Pengjun
Shanghai, Shanghai Municipality, 200082
Zhao Pengjun, MD, 13918109566, pjunzhao@sina.com
About this study
This study intends to establish an automatic system for screening on children with congenital heart disease, the system include the auscultation of cardiac murmur and the test of oxygen saturation, the data was analyzed based on the cloud computing.
Read the detailed description
This study intends to establish a system for screening of children with congenital heart disease,with the combination of cardiac auscultation , the test of oxygen saturation, the use of cloud computing and data base. The investigators decide to do this project from three main points.1:How to establish a data-base system? 2:How to get heart sound signal? 3.How to analyze so many signals?
- Conditions
- Heart Diseases
- Being tested
- automatic screening machine on congenital heart disease
- Keywords
- fetal heart sounds, big data, cloud computing, congenital heart disease, data base, Acoustic structure design
- Medical subject headings
- Heart Diseases, Heart Defects, Congenital
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
automatic screening machine on congenital heart diseaseDevice
What is being measured
The primary outcome is the main question the study is designed to answer.
Positive Predictive Value
The ratio of truly congenital heart disease cases divide by the total positive cases detected by the screening test.
Measured: 2days
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted26 Apr 2019
- Study startJan 2017
- Primary completionDec 2019 (estimated)
- Study completionDec 2019 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (11)Papers the sponsor has linked to this study.
- Other trials for Heart DiseasesStudies of the same condition, open and under way.
- More trials run by Xinhua Hospital, Shanghai Jiao Tong University School of MedicineThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Cross-sectional
- Enrolment
- 1,000 participants (estimated)
Sponsor and investigators
- Sponsor type
- University, hospital or other
- Collaborators
- Shanghai Jiao Tong University School of Medicine
- Responsible party
- Sponsor
- Investigators
- Zhao Pengjun, MD, Study director, Pediatric cardiovascular department, Shanghai xinhua hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03929133
- Sponsor's protocol ID
- XH-16-040
- Status last verified
- Dec 2018
- First submitted
- 22 Nov 2016
- Last updated
- 26 Apr 2019
- Results posted
- No
- Data monitoring committee
- No
- Individual data sharing
- No: The investigator do not plan to share the data until the project is totally completed
Publications
van der Linde D, Konings EE, Slager MA, Witsenburg M, Helbing WA, Takkenberg JJ, Roos-Hesselink JW. Birth prevalence of congenital heart disease worldwide: a systematic review and meta-analysis. J Am Coll Cardiol. 2011 Nov 15;58(21):2241-7. doi: 10.1016/j.jacc.2011.08.025.
PubMed 22078432Ho TC, Ouyang H, Lu Y, Young AH, Chintala K, Detrano RC. Postprocedural outcomes of rural children undergoing correction of congenital heart lesions in Yunnan Province, China. Pediatr Cardiol. 2011 Aug;32(6):811-4. doi: 10.1007/s00246-011-9991-y. Epub 2011 Apr 11.
PubMed 21479905Zhao QM, Ma XJ, Ge XL, Liu F, Yan WL, Wu L, Ye M, Liang XC, Zhang J, Gao Y, Jia B, Huang GY; Neonatal Congenital Heart Disease screening group. Pulse oximetry with clinical assessment to screen for congenital heart disease in neonates in China: a prospective study. Lancet. 2014 Aug 30;384(9945):747-54. doi: 10.1016/S0140-6736(14)60198-7. Epub 2014 Apr 22.
PubMed 24768155G. Douglas et al., Macleod's Clinical Examination. New York, NY, USA: Elsevier Health Sciences, 2009
A. G. Tilkian and M. B. Conover, Understanding Heart Sounds and Murmurs: With an Introduction to Lung Sounds.NewYork,NY, USA: ElsevierHealth Sciences, 2001.
KUN-HIS TSAI. METHOD, SYSTEM AND DEVICE FOR AUSCULTATION:US,US2016/0143612 A1[P]. 2016
Barry Poplaw. PORTABLE SMART STETHOSCOPE FORMED OF SMART MOBILE DEVICE AND CASING ASSEMBLY:US,US 2015/0327812 A1[P]. 2015
Winther S, Schmidt SE, Holm NR, Toft E, Struijk JJ, Botker HE, Bottcher M. Diagnosing coronary artery disease by sound analysis from coronary stenosis induced turbulent blood flow: diagnostic performance in patients with stable angina pectoris. Int J Cardiovasc Imaging. 2016 Feb;32(2):235-245. doi: 10.1007/s10554-015-0753-4. Epub 2015 Sep 3.
PubMed 26335368Visagie C, Scheffer C, Lubbe WW, Doubell AF. Autonomous detection of heart sound abnormalities using an auscultation jacket. Australas Phys Eng Sci Med. 2009 Dec;32(4):240-50. doi: 10.1007/BF03179245.
PubMed 20169844Huang GY. Screening markers of congenital heart disease and their clinical values. Chinese Journal of Practical Pediatrics , 2013(7):503-504
Zhang HX,Cheng XF.Heart sound analysis virtual instrument based on LabVIEW platform. Computer Technology and Development,2010,11:217-220
Study at a glance
From the registry record, last updated by the sponsor on 26 Apr 2019. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Development of an Screening System in Children With Congenital Heart Disease Based on Cloud Computing and Big Data
- ClinicalTrials.gov ID
- NCT03929133
- Acronym / sponsor ID
- XH-16-040
- Conditions
- Heart Diseases
- Keywords
- fetal heart sounds, big data, cloud computing, congenital heart disease, data base, Acoustic structure design
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 1,000 participants (estimated)
- Lead sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of MedicineUniversity, hospital or other
- Collaborators
- Shanghai Jiao Tong University School of Medicine
- Study start
- Jan 2017
- Primary completion
- Dec 2019 (estimated)
- Study completion
- Dec 2019 (estimated)
- First posted
- 26 Apr 2019 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study intends to establish an automatic system for screening on children with congenital heart disease, the system include the auscultation of cardiac murmur and the test of oxygen saturation, the data was analyzed based on the cloud computing.
Detailed description
This study intends to establish a system for screening of children with congenital heart disease,with the combination of cardiac auscultation , the test of oxygen saturation, the use of cloud computing and data base. The investigators decide to do this project from three main points.1:How to establish a data-base system? 2:How to get heart sound signal? 3.How to analyze so many signals?
Study design
- Observational model
- Cohort
- Time perspective
- Cross-sectional
Who may qualify
- Ages
- Up to 10 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child
- Study population
- This study include between between newborn to 10 years old.Heart sound signal need to be collected to analyze children's heart health status and creat a special model of each kind of CHD.
Key inclusion criteria (2 listed)
- Neonatal ward patients
- Patients with echocardiography reports
Key exclusion criteria (1 listed)
- Severe pneumonia
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| automatic screening machine on congenital heart disease | Device | – |
Primary outcome
Positive Predictive Value
Time frame: 2days
The ratio of truly congenital heart disease cases divide by the total positive cases detected by the screening test.
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 26 Apr 2019.
- Background: PubMed 22078432van der Linde D, Konings EE, Slager MA, Witsenburg M, Helbing WA, Takkenberg JJ, Roos-Hesselink JW. Birth prevalence of congenital heart disease worldwide: a systematic review and meta-analysis. J Am Coll Cardiol. 2011 Nov 15;58(21):2241-7. doi: 10.1016/j.jacc.2011.08.025.
- Background: PubMed 21479905Ho TC, Ouyang H, Lu Y, Young AH, Chintala K, Detrano RC. Postprocedural outcomes of rural children undergoing correction of congenital heart lesions in Yunnan Province, China. Pediatr Cardiol. 2011 Aug;32(6):811-4. doi: 10.1007/s00246-011-9991-y. Epub 2011 Apr 11.
- Background: PubMed 24768155Zhao QM, Ma XJ, Ge XL, Liu F, Yan WL, Wu L, Ye M, Liang XC, Zhang J, Gao Y, Jia B, Huang GY; Neonatal Congenital Heart Disease screening group. Pulse oximetry with clinical assessment to screen for congenital heart disease in neonates in China: a prospective study. Lancet. 2014 Aug 30;384(9945):747-54. doi: 10.1016/S0140-6736(14)60198-7. Epub 2014 Apr 22.
- BackgroundG. Douglas et al., Macleod's Clinical Examination. New York, NY, USA: Elsevier Health Sciences, 2009
- BackgroundA. G. Tilkian and M. B. Conover, Understanding Heart Sounds and Murmurs: With an Introduction to Lung Sounds.NewYork,NY, USA: ElsevierHealth Sciences, 2001.
- BackgroundKUN-HIS TSAI. METHOD, SYSTEM AND DEVICE FOR AUSCULTATION:US,US2016/0143612 A1[P]. 2016
- BackgroundBarry Poplaw. PORTABLE SMART STETHOSCOPE FORMED OF SMART MOBILE DEVICE AND CASING ASSEMBLY:US,US 2015/0327812 A1[P]. 2015
- Background: PubMed 26335368Winther S, Schmidt SE, Holm NR, Toft E, Struijk JJ, Botker HE, Bottcher M. Diagnosing coronary artery disease by sound analysis from coronary stenosis induced turbulent blood flow: diagnostic performance in patients with stable angina pectoris. Int J Cardiovasc Imaging. 2016 Feb;32(2):235-245. doi: 10.1007/s10554-015-0753-4. Epub 2015 Sep 3.
- Background: PubMed 20169844Visagie C, Scheffer C, Lubbe WW, Doubell AF. Autonomous detection of heart sound abnormalities using an auscultation jacket. Australas Phys Eng Sci Med. 2009 Dec;32(4):240-50. doi: 10.1007/BF03179245.
- BackgroundHuang GY. Screening markers of congenital heart disease and their clinical values. Chinese Journal of Practical Pediatrics , 2013(7):503-504
- BackgroundZhang HX,Cheng XF.Heart sound analysis virtual instrument based on LabVIEW platform. Computer Technology and Development,2010,11:217-220
- Individual participant dataSharing planned: No. The investigator do not plan to share the data until the project is totally completed
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Zhao Pengjun, MD study director
Pediatric cardiovascular department, Shanghai xinhua hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Heart Diseases, run by Xinhua Hospital, Shanghai Jiao Tong University School of Medicine at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 26 Apr 2019. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Zhao Pengjun, MD (13918109566 ext. 02125078485, pjunzhao@sina.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Positive Predictive Value (time frame: 2days). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03929133, which also lists 11 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 26 Apr 2019.