COVIDRPMNCT04425720
Use of Remote Monitoring for COVID-19 Patient
A study testing LifeSignals Biosensor 1AX* in people with COVID, run by Montefiore Medical Center at 1 site in United States.
Trial summary
The central hypothesis motivating this study is that remote patient monitoring (RPM) of infectious disease patients can efficiently facilitate self-isolation. Additionally, RPM can assist in more rapid identification of patients at risk, facilitate detection of patient deterioration, and enable early interventions… Read more about this study
- Who is it for?
- Ages 18 to 90 years
- Conditions the study is for
- COVID
- What is being tested?
- LifeSignals Biosensor 1AX*
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 300 participants
- Where
- 1 siteUnited States
- Study dates
- 1 Sep 2020to 10 Dec 2021
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
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 18 to 90 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Covid-19 positive patient
- Does not require in-patient admission
Who cannot join
- Allergic to sensor patch
- Has implanted pacemaker
- Has excessive sweating
Trial locations and contacts
1 site in 1 country.
United States1 site
Montefiore Medical Center
The Bronx, New York, 10467
About this study
Official title: Use of Remote Patient Monitoring (RPM) Platform for COVID-19 Patient
The central hypothesis motivating this study is that remote patient monitoring (RPM) of infectious disease patients can efficiently facilitate self-isolation. Additionally, RPM can assist in more rapid identification of patients at risk, facilitate detection of patient deterioration, and enable early interventions, all of which play a vital role in resource utilization and outcomes.
Read the detailed description
Aim-I To develop and test a clinical care pathway that can be utilized in similar epidemic conditions in the future. To study this aim, the investigators will be using the COVID-19 medical surge as a condition to evaluate the framework of delivering care through remote patient monitoring. The success of this care delivery model will be evaluated on ease of model implementation, patient satisfaction, clinical outcomes, and the utilization of shared decision making.
Aim-II To evaluate remote patient monitoring for appropriate resource utilization in epidemic and pandemic conditions. To evaluate this aim, the investigators plan to compare the emergency department (ED) visits and in-patient admission of patients with and without wearable remote patient monitoring devices. Additionally, the investigators will compare the number of patients that required critical interventions (mechanical ventilation and ECMO) during the hospital stay.
Aim III To evaluate the utilization of wearable technology for upfront predictions of patients that would require in-patient admissions. To evaluate this aim, patients who are diagnosed with COVID-19 and are undergoing self-quarantine will be closely monitored using a wearable device, and shared-clinical decisions will be made based on the monitored data and patient diary. The comparison group will be patients undergoing routine standard of care at the hospital. ED visits, in-patient hospital admissions, and patient satisfaction will be the outcome measures compared between the two groups.
Aim IV To evaluate the association between early identification of critical, abnormal vital signs and the prevention of serious adverse events. To evaluate this aim, patients in the monitored group and non-monitored group will be compared for ED visits, in-patient admissions, length of hospital stay, and serious adverse events.
- Conditions
- COVID
- Being tested
- LifeSignals Biosensor 1AX*, Standard of Care
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
LifeSignals Biosensor 1AX*Device
Shared-clinical decisions will be made based on the monitored data and patient diary. Two devices will be used to monitor data, LifeSignals Biosensor 1AX* and a pulse oximeter.
Standard of CareOther
This group will be treated based on standard of care at our institution.
| Study group | Role | What they receive |
|---|---|---|
| Standard Of Care | Active comparator | Patients without wearable monitoring technology undergoing routine standard of care at the hospital. Receives: Other: Standard of Care |
| Monitored | Experimental | Patients who are diagnosed with COVID-19 and are undergoing self-quarantine will be closely monitored using a wearable device, and shared-clinical decisions will be made based on the monitored data and patient diary Receives: Device: LifeSignals Biosensor 1AX* |
What is being measured
The primary outcome is the main question the study is designed to answer.
Number of Monitored Versus Non-Monitored In-patient Admission
compare the number of in-patient admissions between the monitored and non-monitored patients
Measured: 14 days
How Many Subjects Needed to Visit the Emergency Department
compare the number of participants who visited Emergency Department between both arms
Measured: 14 days
Length of Stay
Length of stay of subject if hospitalized
Measured: 14 days
How Many Completed the Patient Satisfaction Survey
Survey given to patients who were monitored to ask about satisfaction with the program. A research associate calls enrolled subjects to determine their opinions having participated in the program.
Measured: 14 days
How Many Subjects End up Requiring Mechanical Ventilation and ECMO
How often does a subject end up getting mechanical ventilation or ECMO
Measured: 14 days
Serious Adverse Events
events requiring extended hospital stay
Measured: 14 days
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 Jun 2020
- Study start1 Sep 2020
- Primary completion10 Feb 2021
- Study completion10 Dec 2021
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Publications (24)Papers the sponsor has linked to this study.
- Other trials for COVIDStudies of the same condition, open and under way.
- More trials run by Montefiore Medical CenterThe 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
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 300 participants (actual)
Sponsor and investigators
- Lead sponsor
- Montefiore Medical Center
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Jonathan Leff, MD, Principal investigator, Montefiore Medical Center
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04425720
- Sponsor's protocol ID
- 2020-11824
- Acronym
- RPM
- Status last verified
- Jan 2022
- First submitted
- 2 Jun 2020
- Last updated
- 24 Jan 2022
- Results posted
- Yes, on ClinicalTrials.gov
- FDA-regulated drug
- No
- FDA-regulated device
- Yes
- Individual data sharing
- No
Publications
Sohrabi C, Alsafi Z, O'Neill N, Khan M, Kerwan A, Al-Jabir A, Iosifidis C, Agha R. World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). Int J Surg. 2020 Apr;76:71-76. doi: 10.1016/j.ijsu.2020.02.034. Epub 2020 Feb 26.
PubMed 32112977Wilder-Smith A, Chiew CJ, Lee VJ. Can we contain the COVID-19 outbreak with the same measures as for SARS? Lancet Infect Dis. 2020 May;20(5):e102-e107. doi: 10.1016/S1473-3099(20)30129-8. Epub 2020 Mar 5.
PubMed 32145768Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z, Yu T, Xia J, Wei Y, Wu W, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo L, Xie J, Wang G, Jiang R, Gao Z, Jin Q, Wang J, Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24.
PubMed 31986264Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, Wang B, Xiang H, Cheng Z, Xiong Y, Zhao Y, Li Y, Wang X, Peng Z. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA. 2020 Mar 17;323(11):1061-1069. doi: 10.1001/jama.2020.1585.
PubMed 32031570Liu K, Fang YY, Deng Y, Liu W, Wang MF, Ma JP, Xiao W, Wang YN, Zhong MH, Li CH, Li GC, Liu HG. Clinical characteristics of novel coronavirus cases in tertiary hospitals in Hubei Province. Chin Med J (Engl). 2020 May 5;133(9):1025-1031. doi: 10.1097/CM9.0000000000000744.
PubMed 32044814Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020 Apr 7;323(13):1239-1242. doi: 10.1001/jama.2020.2648. No abstract available.
PubMed 32091533Grech V. Unknown unknowns - COVID-19 and potential global mortality. Early Hum Dev. 2020 May;144:105026. doi: 10.1016/j.earlhumdev.2020.105026. Epub 2020 Mar 31.
PubMed 32247898Goh KJ, Choong MC, Cheong EH, Kalimuddin S, Duu Wen S, Phua GC, Chan KS, Haja Mohideen S. Rapid Progression to Acute Respiratory Distress Syndrome: Review of Current Understanding of Critical Illness from Coronavirus Disease 2019 (COVID-19) Infection. Ann Acad Med Singap. 2020 Mar 16;49(3):108-118.
PubMed 32200400Liu V, Kipnis P, Rizk NW, Escobar GJ. Adverse outcomes associated with delayed intensive care unit transfers in an integrated healthcare system. J Hosp Med. 2012 Mar;7(3):224-30. doi: 10.1002/jhm.964. Epub 2011 Oct 28.
PubMed 22038879Mardini L, Lipes J, Jayaraman D. Adverse outcomes associated with delayed intensive care consultation in medical and surgical inpatients. J Crit Care. 2012 Dec;27(6):688-93. doi: 10.1016/j.jcrc.2012.04.011. Epub 2012 Jun 12.
PubMed 22699035Mokart D, Lambert J, Schnell D, Fouche L, Rabbat A, Kouatchet A, Lemiale V, Vincent F, Lengline E, Bruneel F, Pene F, Chevret S, Azoulay E. Delayed intensive care unit admission is associated with increased mortality in patients with cancer with acute respiratory failure. Leuk Lymphoma. 2013 Aug;54(8):1724-9. doi: 10.3109/10428194.2012.753446. Epub 2012 Dec 26.
PubMed 23185988Cheng PK, Wong DA, Tong LK, Ip SM, Lo AC, Lau CS, Yeung EY, Lim WW. Viral shedding patterns of coronavirus in patients with probable severe acute respiratory syndrome. Lancet. 2004 May 22;363(9422):1699-700. doi: 10.1016/S0140-6736(04)16255-7.
PubMed 15158632Weiss P, Murdoch DR. Clinical course and mortality risk of severe COVID-19. Lancet. 2020 Mar 28;395(10229):1014-1015. doi: 10.1016/S0140-6736(20)30633-4. Epub 2020 Mar 17. No abstract available.
PubMed 32197108Tian S, Hu W, Niu L, Liu H, Xu H, Xiao SY. Pulmonary Pathology of Early-Phase 2019 Novel Coronavirus (COVID-19) Pneumonia in Two Patients With Lung Cancer. J Thorac Oncol. 2020 May;15(5):700-704. doi: 10.1016/j.jtho.2020.02.010. Epub 2020 Feb 28.
PubMed 32114094Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, Liu L, Shan H, Lei CL, Hui DSC, Du B, Li LJ, Zeng G, Yuen KY, Chen RC, Tang CL, Wang T, Chen PY, Xiang J, Li SY, Wang JL, Liang ZJ, Peng YX, Wei L, Liu Y, Hu YH, Peng P, Wang JM, Liu JY, Chen Z, Li G, Zheng ZJ, Qiu SQ, Luo J, Ye CJ, Zhu SY, Zhong NS; China Medical Treatment Expert Group for Covid-19. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020 Apr 30;382(18):1708-1720. doi: 10.1056/NEJMoa2002032. Epub 2020 Feb 28.
PubMed 32109013
Study at a glance
From the registry record, last updated by the sponsor on 24 Jan 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Use of Remote Patient Monitoring (RPM) Platform for COVID-19 Patient
- ClinicalTrials.gov ID
- NCT04425720
- Acronym / sponsor ID
- RPM / 2020-11824
- Conditions
- COVID
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 300 participants (actual)
- Lead sponsor
- Montefiore Medical CenterUniversity, hospital or other
- Study start
- 1 Sep 2020 (actual)
- Primary completion
- 10 Feb 2021 (actual)
- Study completion
- 10 Dec 2021 (actual)
- First posted
- 11 Jun 2020 (actual)
- Results
- Posted 19 Nov 2021
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The central hypothesis motivating this study is that remote patient monitoring (RPM) of infectious disease patients can efficiently facilitate self-isolation. Additionally, RPM can assist in more rapid identification of patients at risk, facilitate detection of patient deterioration, and enable early interventions, all of which play a vital role in resource utilization and outcomes.
Detailed description
Aim-I To develop and test a clinical care pathway that can be utilized in similar epidemic conditions in the future. To study this aim, the investigators will be using the COVID-19 medical surge as a condition to evaluate the framework of delivering care through remote patient monitoring. The success of this care delivery model will be evaluated on ease of model implementation, patient satisfaction, clinical outcomes, and the utilization of shared decision making.
Aim-II To evaluate remote patient monitoring for appropriate resource utilization in epidemic and pandemic conditions. To evaluate this aim, the investigators plan to compare the emergency department (ED) visits and in-patient admission of patients with and without wearable remote patient monitoring devices. Additionally, the investigators will compare the number of patients that required critical interventions (mechanical ventilation and ECMO) during the hospital stay.
Aim III To evaluate the utilization of wearable technology for upfront predictions of patients that would require in-patient admissions. To evaluate this aim, patients who are diagnosed with COVID-19 and are undergoing self-quarantine will be closely monitored using a wearable device, and shared-clinical decisions will be made based on the monitored data and patient diary. The comparison group will be patients undergoing routine standard of care at the hospital. ED visits, in-patient hospital admissions, and patient satisfaction will be the outcome measures compared between the two groups.
Aim IV To evaluate the association between early identification of critical, abnormal vital signs and the prevention of serious adverse events. To evaluate this aim, patients in the monitored group and non-monitored group will be compared for ED visits, in-patient admissions, length of hospital stay, and serious adverse events.
Study design
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Standard Of Care | Active comparator | Other: Standard of CarePatients without wearable monitoring technology undergoing routine standard of care at the hospital. |
| Monitored | Experimental | Device: LifeSignals Biosensor 1AX*Patients who are diagnosed with COVID-19 and are undergoing self-quarantine will be closely monitored using a wearable device, and shared-clinical decisions will be made based on the monitored data and patient diary |
Who may qualify
- Ages
- 18 to 90 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (2 listed)
- Covid-19 positive patient
- Does not require in-patient admission
Key exclusion criteria (3 listed)
- Allergic to sensor patch
- Has implanted pacemaker
- Has excessive sweating
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 |
|---|---|---|
| LifeSignals Biosensor 1AX*Shared-clinical decisions will be made based on the monitored data and patient diary. Two devices will be used to monitor data, LifeSignals Biosensor 1AX* and a pulse oximeter. | Device | Monitored |
| Standard of CareThis group will be treated based on standard of care at our institution. | Other | Standard Of Care |
Primary outcome
Number of Monitored Versus Non-Monitored In-patient Admission
Time frame: 14 days
compare the number of in-patient admissions between the monitored and non-monitored patients
How Many Subjects Needed to Visit the Emergency Department
Time frame: 14 days
compare the number of participants who visited Emergency Department between both arms
Length of Stay
Time frame: 14 days
Length of stay of subject if hospitalized
How Many Completed the Patient Satisfaction Survey
Time frame: 14 days
Survey given to patients who were monitored to ask about satisfaction with the program. A research associate calls enrolled subjects to determine their opinions having participated in the program.
How Many Subjects End up Requiring Mechanical Ventilation and ECMO
Time frame: 14 days
How often does a subject end up getting mechanical ventilation or ECMO
Serious Adverse Events
Time frame: 14 days
events requiring extended hospital stay
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Jan 2022.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Background: PubMed 32112977Sohrabi C, Alsafi Z, O'Neill N, Khan M, Kerwan A, Al-Jabir A, Iosifidis C, Agha R. World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). Int J Surg. 2020 Apr;76:71-76. doi: 10.1016/j.ijsu.2020.02.034. Epub 2020 Feb 26.
- Background: PubMed 32145768Wilder-Smith A, Chiew CJ, Lee VJ. Can we contain the COVID-19 outbreak with the same measures as for SARS? Lancet Infect Dis. 2020 May;20(5):e102-e107. doi: 10.1016/S1473-3099(20)30129-8. Epub 2020 Mar 5.
- Background: PubMed 31986264Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z, Yu T, Xia J, Wei Y, Wu W, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo L, Xie J, Wang G, Jiang R, Gao Z, Jin Q, Wang J, Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24.
- Background: PubMed 32031570Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, Wang B, Xiang H, Cheng Z, Xiong Y, Zhao Y, Li Y, Wang X, Peng Z. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA. 2020 Mar 17;323(11):1061-1069. doi: 10.1001/jama.2020.1585.
- Background: PubMed 32044814Liu K, Fang YY, Deng Y, Liu W, Wang MF, Ma JP, Xiao W, Wang YN, Zhong MH, Li CH, Li GC, Liu HG. Clinical characteristics of novel coronavirus cases in tertiary hospitals in Hubei Province. Chin Med J (Engl). 2020 May 5;133(9):1025-1031. doi: 10.1097/CM9.0000000000000744.
- Background: PubMed 32091533Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020 Apr 7;323(13):1239-1242. doi: 10.1001/jama.2020.2648. No abstract available.
- Background: PubMed 32247898Grech V. Unknown unknowns - COVID-19 and potential global mortality. Early Hum Dev. 2020 May;144:105026. doi: 10.1016/j.earlhumdev.2020.105026. Epub 2020 Mar 31.
- Background: PubMed 32200400Goh KJ, Choong MC, Cheong EH, Kalimuddin S, Duu Wen S, Phua GC, Chan KS, Haja Mohideen S. Rapid Progression to Acute Respiratory Distress Syndrome: Review of Current Understanding of Critical Illness from Coronavirus Disease 2019 (COVID-19) Infection. Ann Acad Med Singap. 2020 Mar 16;49(3):108-118.
- Background: PubMed 22038879Liu V, Kipnis P, Rizk NW, Escobar GJ. Adverse outcomes associated with delayed intensive care unit transfers in an integrated healthcare system. J Hosp Med. 2012 Mar;7(3):224-30. doi: 10.1002/jhm.964. Epub 2011 Oct 28.
- Background: PubMed 22699035Mardini L, Lipes J, Jayaraman D. Adverse outcomes associated with delayed intensive care consultation in medical and surgical inpatients. J Crit Care. 2012 Dec;27(6):688-93. doi: 10.1016/j.jcrc.2012.04.011. Epub 2012 Jun 12.
- Background: PubMed 23185988Mokart D, Lambert J, Schnell D, Fouche L, Rabbat A, Kouatchet A, Lemiale V, Vincent F, Lengline E, Bruneel F, Pene F, Chevret S, Azoulay E. Delayed intensive care unit admission is associated with increased mortality in patients with cancer with acute respiratory failure. Leuk Lymphoma. 2013 Aug;54(8):1724-9. doi: 10.3109/10428194.2012.753446. Epub 2012 Dec 26.
- Background: PubMed 15158632Cheng PK, Wong DA, Tong LK, Ip SM, Lo AC, Lau CS, Yeung EY, Lim WW. Viral shedding patterns of coronavirus in patients with probable severe acute respiratory syndrome. Lancet. 2004 May 22;363(9422):1699-700. doi: 10.1016/S0140-6736(04)16255-7.
- Individual participant dataSharing planned: No
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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.
Jonathan Leff, MD principal investigator
Montefiore Medical Center
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing LifeSignals Biosensor 1AX* in people with COVID, run by Montefiore Medical Center at 1 site in United States.
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 3 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: finished, as of the sponsor's last update on 24 Jan 2022. 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 United States. 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?
Yes. Results are posted in the registry (first posted 19 Nov 2021). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Number of Monitored Versus Non-Monitored In-patient Admission (time frame: 14 days). The study lists 6 primary outcomes in all. 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 NCT04425720, which also lists 24 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 24 Jan 2022.