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| Name | Class |
|---|---|
| Mallinckrodt | INDUSTRY |
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This study was designed to evaluate the feasibility of using a Standardized Home Spirometry (SHS) Method to develop normal range values, to detect a variance (i.e., a value outside of that normal range), to evaluate a variance with a questionnaire, and to download all data in normal volunteers prior to evaluation and use on a larger scale for lung transplant recipients. The Standardized Home Spirometry (SHS) Method consists of a FDA-approved Bluetooth Spirometry unit, FDA approved Bluetooth Pulse Oximeter and an Android-based Tablet which is embedded with an investigational Home Spirometry Mobile Medical Software Application for data and symptom survey collection and transmission over secure WiFi or cellular connectivity in HIPAA compliant fashion (labeled only with a date/time and machine ID stamp) to an associated investigational IT Server Dashboard at the Central Monitoring Institute Server at Washington University in St. Louis.
Study Objective: This study was designed to evaluate the feasibility of use of a Standardized Home Spirometry(SHS) Method using a Home Spirometry Monitoring Kit consisting of FDA-approved Blue-tooth Spirometry unit, Blue-tooth pulse oximeter and an Android-based Tablet with an embedded investigational home spirometry mobile medical software application for data and symptom survey collection and transmission over secure WiFi or cellular data transmission portal in HIPAA compliant fashion to an associated investigational IT dashboard application at the Central Monitoring Institute (CMI) Server at Washington University in St. Louis, to develop normal range values, to detect a variance (i.e., a value outside of that normal range), to evaluate a variance with a questionnaire, and to download all data to the CMI in a small pilot of healthy volunteers prior to evaluation and use on a larger scale for lung transplant recipients.
The investigational IT application will monitor lung function but do nothing more than collect data. It will adjust monitoring frequency and trigger physician review of home spirometry results at a more frequent interval but will not be directly involved in decisions regarding diagnosis or treatment.
Study Type: Non-randomized, single-arm, prospective cohort study
Intervention:
The Home Spirometry Monitoring System will consist of:
WiFi or cellular connectivity to be used for data transmission and communication between an Android Pad and an associated Investigational server dashboard application at the Central Monitoring Institute
Normal Volunteer Monitoring Data is sent in a HIPAA compliant fashion (data with date/time stamp and device ID only) to a Central Monitoring Institute (CMI) server maintained at Washington University in St. Louis
Participants will undergo training to activate and use the Home Spirometry Monitoring System.
Data evaluation by a pulmonologist within CMI:
Participants may undergo one Laboratory-based Spirometry Test (if practicable) and perform a test session using the standardized home spirometry method system at baseline.
Participation may last up to one year.
Standardized Home Spirometry testing interval at least weekly with an initial testing period of greater frequency to enable normal range calibration. Volunteers will require initial in center or remote training with the Standardized home spirometry method & performance of baseline home spirometry method testing and a (baseline) laboratory-based spirometry test (if practicable).
Pre-Surveillance Phase: Daily home spirometry method measurements for 4 to 10 weeks to enable normal range calibration. Volunteers who have either a statistically significant (p-value <0.01) rate of change in FEV1 or a change in FEV1 rate of decline that exceeds an absolute value (+/-) of 30 mL/month using home spirometry based FEV1 values obtained during the normal range development period are not eligible to advance to the Surveillance Phase and may be discontinued from the study.
Surveillance Phase: At least weekly home spirometry method measurements for two to ten months of participation. An FEV-1 (Forced Expiratory Volume in one second) variance is defined as an FEV-1 value that is outside the 95% CI (Confidence Interval) of the participant's normal FEV-1 reference range that was determined immediately after enrollment.
If an FEV-1 variance is detected by the Android Pad, the IT application automatically requests that the participant complete a symptom survey. This information when used in combination with other data will result in initiation of the following actions:
If an FEV-1 variance is categorized as being suspicious for acute medical illness by the CMI (i.e., with clinical symptoms consistent with upper or lower respiratory infection/CHF), the spirometry data and participant survey responses will trigger overview by the CMI laboratory staff and if deemed suspicious for acute medical illness results will be made accessible to the participant's designated health professionals. If critical values or clinical symptoms are obtained consistent with urgent compromise (e.g., evidence of hypoxemia or respiratory distress), the CMI (PFT (Pulmonary Function Testing) Laboratory staff pulmonologist) will make timely attempts to reach the participant or participant's health professionals. In this study, this is expected to be an exceedingly rare occurrence, and most likely would not occur at all. If acute medical illness has been ruled in, participant spirometry surveillance will be reinitiated after an appropriate period of treatment, which will be determined by the participant's managing physician who will notify CMI when the participant has recovered from their acute illness.
Variance not suspicious for acute medical illness with no apparent clinical symptoms consistent with infection/CHF: if supplemental questionnaire or clinical data is not consistent with an acute medical illness, the following actions will be taken:
Persistence Evaluation: Participants will be directed to obtain daily spirometric measurements along with repeated completion of the questionnaire for a total of 4 consecutive days CMI Pulmonology Review: Consistently low Spirometry values (persistence) will prompt early review of these values along with previous Spirometry history by CMI pulmonology staff.
Random Symptom Surveys may also generate (in the absence of a variance) however only Symptom Surveys prompted by Variances will result in further action as described above.
During the first two months (approximately) of Surveillance, Volunteers will be directed to intentionally induce variances, symptoms, incomplete connections/testing/survey, etc., in order to fully test and assess the functionality of the Mobile Medical Software neural pathways (IT app and Dashboard server) as directed by the study team. Volunteers will document test on a test log.
The FDA issued a non-significant risk (NSR) device study letter on 12/3/2018 for the Home Spirometry Mobile Medical Software.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Standardized Home Spirometry (SHS) Method | Experimental | The Standardized Home Spirometry (SHS) Method consists of an Investigational Mobile Medical Application embedded in an Android Tablet & FDA approved spirometer & pulse oximeter. Participants will be trained with the SHS method, perform an initial home spirometry test session & a lab-based spirometry test (if practicable). Pre-surveillance Phase:Daily SHS Testing for 4 to 10 weeks to enable the Mobile Medical application to generate volunteer specific normal range. Surveillance Phase: At least weekly SHS Testing. During approximately two months of the surveillance phase, the volunteer will test one to four times per week to assess the SHS neural pathways as directed by the study team. Test sessions will be documented on a test log. Subjects may be asked to perform additional SHS pathway test logs, continue at least weekly testing, pause testing or end participation following completion of the initial SHS neural pathway test log. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Investigational Mobile Medical Software Application & IT Dashboard Application, FDA approved Bluetooth spirometer, FDA approved pulse oximeter | Device | Standardized Home Spirometry (SHS) Method consists of an Investigational Mobile Medical Application embedded into an Android Tablet, an FDA approved Bluetooth spirometer, an FDA approved pulse oximeter. HIPAA compliant data will be sent to an Investigational IT dashboard maintained at the Central Monitoring Institute Server. Volunteers will train in-center or remotely & perform baseline testing with the SHS method along with a baseline laboratory-based spirometry test (if practicable). Pre-Surveillance Phase: Daily home spirometry method testing for 4 to 10 weeks to enable normal range calibration. Surveillance Phase: At least weekly home spirometry method testing for 2-10 months of participation. Volunteers will maintain a test log during study team directed SHS software pathway functionality testing. |
| Measure | Description | Time Frame |
|---|---|---|
| Feasibility of using the Standardized Home Spirometry (SHS) Method and associated IT Dashboard Server: Assess Home Spirometry reproducibility during pre-surveillance period. | Evaluate daily FEV1 variability between replicate measurements by summarizing between measurement %difference; Evaluate between day variability in highest FEV1 (FEV1 Max) variability by summarizing %Difference from FEV1 Max values and two SD (Standard Deviation) Coefficient of Variation (expected to be less than 30%) between FEV1 measurements during pre-surveillance period. | Up to 8 weeks |
| Feasibility of using the Standardized Home Spirometry (SHS) Method and associated IT Dashboard Server: Drift Assessment | Evaluate the functionality of the investigational Mobile Medical Software Application and associated IT Server Dashboard for statistically significant drift in relationship between %FEV1 Max or mean FEV1 Max over time and subsequent transition to Surveillance monitoring stage. | Up to 8 weeks |
| Feasibility of using the Standardized Home Spirometry (SHS) Method and associated IT Dashboard Server: Pathway Verification | Evaluate the Mobile medical application software and associated IT server data processing pathways using % initial error rate (initial error rate and subsequent error rate, after any potential adjustments are made in mobile medical application if changes are required). | Through study completion, up to 10 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| George Despotis, MD | Washington University School of Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Washington University in St. Louis | St Louis | Missouri | 63110 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 25242125 | Background | Yusen RD, Edwards LB, Kucheryavaya AY, Benden C, Dipchand AI, Dobbels F, Goldfarb SB, Levvey BJ, Lund LH, Meiser B, Stehlik J; International Society for Heart and Lung Transplantation. The registry of the International Society for Heart and Lung Transplantation: thirty-first adult lung and heart-lung transplant report--2014; focus theme: retransplantation. J Heart Lung Transplant. 2014 Oct;33(10):1009-24. doi: 10.1016/j.healun.2014.08.004. Epub 2014 Aug 14. No abstract available. | |
| 25359357 |
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| Type | Date | Date Unknown |
|---|---|---|
| Release | Jan 6, 2023 | |
| Reset | Oct 30, 2023 | |
| Release | Nov 2, 2023 |
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Evaluate the feasibility of using a Standardized Home Spirometry Method and associated investigational Home Spirometry Mobile Medical Software (IT App) and Server "Dashboard" in a healthy volunteer population before beginning a separate full clinical trial in the lung transplant population. Feasibility of using the Standardized Home Spirometry Method and associated Home Spirometry Mobile Medical Software (IT App and Server "Dashboard" to develop normal range values, to detect a value outside of the normal range, to evaluate a value outside of the normal range with a symptom survey and to download all data to a Central Monitoring Institute will be evaluated.
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| Background |
| Meyer KC, Raghu G, Verleden GM, Corris PA, Aurora P, Wilson KC, Brozek J, Glanville AR; ISHLT/ATS/ERS BOS Task Force Committee; ISHLT/ATS/ERS BOS Task Force Committee. An international ISHLT/ATS/ERS clinical practice guideline: diagnosis and management of bronchiolitis obliterans syndrome. Eur Respir J. 2014 Dec;44(6):1479-503. doi: 10.1183/09031936.00107514. Epub 2014 Oct 30. |
| 25447585 | Background | Kapila A, Baz MA, Valentine VG, Bhorade SM; AIRSAC investigators. Reliability of diagnostic criteria for bronchiolitis obliterans syndrome after lung transplantation: a survey. J Heart Lung Transplant. 2015 Jan;34(1):65-74. doi: 10.1016/j.healun.2014.09.029. Epub 2014 Oct 7. |
| 7877665 | Background | Slovis BS, Loyd JE, King LE Jr. Photopheresis for chronic rejection of lung allografts. N Engl J Med. 1995 Apr 6;332(14):962. doi: 10.1056/NEJM199504063321417. No abstract available. |
| 10334173 | Background | O'Hagan AR, Stillwell PC, Arroliga A, Koo A. Photopheresis in the treatment of refractory bronchiolitis obliterans complicating lung transplantation. Chest. 1999 May;115(5):1459-62. doi: 10.1378/chest.115.5.1459. |
| 10343253 | Background | Salerno CT, Park SJ, Kreykes NS, Kulick DM, Savik K, Hertz MI, Bolman RM 3rd. Adjuvant treatment of refractory lung transplant rejection with extracorporeal photopheresis. J Thorac Cardiovasc Surg. 1999 Jun;117(6):1063-9. doi: 10.1016/s0022-5223(99)70241-2. |
| 11233043 | Background | Villanueva J, Bhorade SM, Robinson JA, Husain AN, Garrity ER Jr. Extracorporeal photopheresis for the treatment of lung allograft rejection. Ann Transplant. 2000;5(3):44-7. |
| 19077900 | Background | Benden C, Speich R, Hofbauer GF, Irani S, Eich-Wanger C, Russi EW, Weder W, Boehler A. Extracorporeal photopheresis after lung transplantation: a 10-year single-center experience. Transplantation. 2008 Dec 15;86(11):1625-7. doi: 10.1097/TP.0b013e31818bc024. |
| 19853479 | Background | Morrell MR, Despotis GJ, Lublin DM, Patterson GA, Trulock EP, Hachem RR. The efficacy of photopheresis for bronchiolitis obliterans syndrome after lung transplantation. J Heart Lung Transplant. 2010 Apr;29(4):424-31. doi: 10.1016/j.healun.2009.08.029. Epub 2009 Oct 22. |
| 22884382 | Background | Jaksch P, Scheed A, Keplinger M, Ernst MB, Dani T, Just U, Nahavandi H, Klepetko W, Knobler R. A prospective interventional study on the use of extracorporeal photopheresis in patients with bronchiolitis obliterans syndrome after lung transplantation. J Heart Lung Transplant. 2012 Sep;31(9):950-7. doi: 10.1016/j.healun.2012.05.002. |
| 23406373 | Background | Greer M, Dierich M, De Wall C, Suhling H, Rademacher J, Welte T, Haverich A, Warnecke G, Ivanyi P, Buchholz S, Gottlieb J, Fuehner T. Phenotyping established chronic lung allograft dysfunction predicts extracorporeal photopheresis response in lung transplant patients. Am J Transplant. 2013 Apr;13(4):911-918. doi: 10.1111/ajt.12155. Epub 2013 Feb 13. |
| 26112178 | Background | Del Fante C, Scudeller L, Oggionni T, Viarengo G, Cemmi F, Morosini M, Cascina A, Meloni F, Perotti C. Long-Term Off-Line Extracorporeal Photochemotherapy in Patients with Chronic Lung Allograft Rejection Not Responsive to Conventional Treatment: A 10-Year Single-Centre Analysis. Respiration. 2015;90(2):118-28. doi: 10.1159/000431382. Epub 2015 Jun 20. |
| 16963659 | Background | Liistro G, Vanwelde C, Vincken W, Vandevoorde J, Verleden G, Buffels J; COPD Advisory Board. Technical and functional assessment of 10 office spirometers: A multicenter comparative study. Chest. 2006 Sep;130(3):657-65. doi: 10.1378/chest.130.3.657. |
| 25185146 | Background | Lefebvre Q, Vandergoten T, Derom E, Marchandise E, Liistro G. Testing spirometers: are the standard curves of the american thoracic society sufficient? Respir Care. 2014 Dec;59(12):1895-904. doi: 10.4187/respcare.02918. Epub 2014 Sep 2. |
| Reset | Apr 18, 2024 |
| Release | May 7, 2024 |
| Reset | Sep 19, 2024 |
| Release | Oct 20, 2025 |
| Reset | Nov 5, 2025 |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
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| Jan 6, 2023 | Oct 30, 2023 | |||
| Nov 2, 2023 | Apr 18, 2024 | |||
| May 7, 2024 | Sep 19, 2024 | |||
| Oct 20, 2025 | Nov 5, 2025 |