The goal of this observational pilot trial is to evaluate the feasibility of home monitoring for patients with systemic sclerosis-associated pulmonary arterial hypertension (SSc-PAH). The study will assess home-based measures that may help detect disease progression earlier and will also evaluate patient satisfaction, usability, and the impact on health-related quality of life. The study aims to answer: * How feasible is home monitoring in SSc-PAH patients in terms of adherence, technical feasibility, and validity of home-based measures? * How do home-based assessments compare to hospital-based assessments in detecting disease progression? * How do patients experience digital home monitoring? Participants will: * Use a digital platform (Zeen Health) for biweekly self-reporting of symptoms and physiological measurements. * Perform functional tests at home, including the 1-minute sit-to-stand test (1MSTS). * Wear the ECG247 Smart Heart Sensor for one week to monitor heart rhythm. * Collect and submit home blood samples every two weeks. * Attend two hospital visits (baseline and week 12) for clinical assessments, functional testing, pulmonary function tests, echocardiography, and routine blood sampling for clinical assessments. This 12-week study will assess the feasibility of home monitoring, as well as the validity and reliability of home-based measures. The findings will help design a future study aimed at integrating home-based assessments into routine clinical care.
Study Overview The Nor-SSCardioCare Pilot Trial is a prospective, observational, single-arm feasibility study evaluating the implementation of home monitoring in patients with systemic sclerosis-associated pulmonary arterial hypertension (SSc-PAH). The primary objective is to assess the feasibility of home monitoring in terms of patient adherence, technical feasibility, and the validity and reliability of home-based measures compared to hospital-based assessments. Additionally, the study will evaluate patient satisfaction, usability of digital home monitoring, and its impact on health-related quality of life (HRQoL). This 12-week study will generate feasibility data to inform the design of a larger trial aimed at integrating home monitoring into clinical care for earlier detection of disease progression and cardiac complications. Background and Rationale SSc-PAH is a life-threatening complication of systemic sclerosis (SSc), with a high mortality rate and limited treatment response if diagnosed late. Currently, disease progression may go undetected between hospital visits, as patients are typically seen every 3-6 months for assessments including: echocardiography, pulmonary function tests (PFTs), 6-minute walk distance (6MWD) test, right heart catheterization (RHC) when needed. However, fixed-interval follow-ups do not always capture early signs of disease worsening. Digital home monitoring may improve disease management by allowing more frequent patient assessments (biweekly vs. standard hospital visits), earlier detection of PAH progression based on physiological and symptom data, and increased patient engagement and self-management. The pilot trial will assess home-based measures that may contribute to earlier detection of disease progression, explore their validity and reliability compared to hospital-based assessments, and evaluate patient satisfaction, usability, and impact on health-related quality of life (HRQoL). This 12-week study will generate feasibility data to inform the development of a larger trial focused on integrating home monitoring into clinical care. Objectives and Endpoints Primary Objective: To evaluate the feasibility of home monitoring for SSc-PAH patients, including: * Patient adherence and compliance (frequency and completeness of data entries, ECG monitoring compliance). * Technical feasibility (rate of technical failures, data loss, and missing entries). * Validity and reliability of home-based measures compared to hospital-based assessments (comparison of home-based 1MSTS vs. hospital-based 6MWD, and home-based NT-proBNP vs. hospital-based NT-proBNP). Secondary Objectives: * Evaluate patient satisfaction, usability, and HRQoL of home monitoring. * Comparison of home-based vs. hospital-based risk stratification (e.g., mMRC vs. WHO functional class, home-based 1MSTS vs. hospital-based 1MSTS, and NT-proBNP). * PAH progression and PAH events. * Heart rhythm monitoring, including arrhythmia detection, heart rate variability (HRV), and its correlation with PAH severity. * Reproducibility of home-based measures to assess reliability across different settings. Exploratory analysis • Explore biomarkers and their correlation with PAH severity Study Design and Methods Study Type: * Prospective, observational, single-arm feasibility study. * Study duration: 12 weeks. * Sample size: 20 patients diagnosed with SSc-PAH. * Study site: Conducted at Oslo University Hospital (OUH), Norway. Study Procedures and Data Collection This 12-week study will consist of: * Two hospital visits at Oslo University Hospital (OUH) (baseline and week 12) for clinical assessments, including functional tests, pulmonary function tests (PFTs), echocardiography, routine blood sampling for clinical assessments, including NT-proBNP measurements, and reporting of patient-reported outcomes using validated HRQoL questionnaires (EmPHasis-10, ScleroID, EQ-5D-5L, HAQ, HADS) and patients satisfaction questionnaires (CSQ-8, Usability, Feasibility, and Impact Questionnaire). * Biweekly home monitoring, where participants will report symptoms via a digital platform (Zeen Health), perform home-based functional tests (1-minute sit-to-stand test, 1MSTS), collect capillary blood samples for biomarker analyses and NT-proBNP, and undergo ECG monitoring for one week. Quality Assurance and Data Validation 1. Data Entry and Validation * Zeen Health Platform: Secure, approved digital platform used for collecting real-time patient-reported data. * Regular monitoring of data completeness, technical issues, and adherence. * Manual cross-checks of selected entries against medical records for accuracy. 2. Registry Data Management * Secure data storage in Tjeneste for Sensitive Data (TSD) at the University of Oslo. * Data review meetings to ensure accuracy and completeness. * Consistency checks to verify alignment of registry data with predefined variables. 3. Data Dictionary and Coding Standards * Standardized variable definitions for home-based and hospital-based measures. * Data coded using predefined categories (e.g., WHO-FC classifications, NT-proBNP cutoffs). 4. Source Data Verification * Selected data will be cross-checked against hospital medical records. * Agreement between home-based and hospital-based assessments will be analyzed. 5. Sample Size Justification * 20-patient sample chosen to assess feasibility before scaling to a larger trial. * Not powered for clinical efficacy outcomes. 6. Plan for Missing Data * Patient reminders: Participants who miss scheduled data entries may receive gentle reminders via the digital platform to improve adherence. * Monitoring of missing data patterns: If systematic issues are identified, additional measures may be implemented. * No statistical imputation: Missing data will not be imputed but will be analyzed descriptively. Statistical Analysis Plan * Descriptive statistics (means, SDs, proportions) will be used for feasibility outcomes. * Agreement analysis: * Bland-Altman plots for home-based 1MSTS vs. 6MWD. * Intraclass correlation coefficients (ICC) for home-based NT-proBNP vs. hospital-based NT-proBNP. * HRQoL and usability outcomes will be analyzed using paired t-tests/Wilcoxon tests. * Heart rhythm data (arrhythmia type/frequency, HRV) will be analyzed and correlated with PAH risk profiles. Ethical Considerations and Oversight * Approved by the Regional Committees for Medical and Health Research Ethics (REK Sør-Øst, Norway). * Informed consent required before participation. * No experimental therapies; all participants will receive standard clinical care. * Patient confidentiality protected under GDPR compliance. Future Directions Findings from this study will inform the design of a larger clinical trial evaluating whether home monitoring improves early detection of PAH progression and enhances patient outcomes. If successful, future research will assess its clinical utility in routine care and its potential for broader implementation in SSc-PAH management. Potential benefits of a future trial: * Cost-effective, remote disease monitoring. * Earlier intervention for PAH worsening. * Improved patient engagement and HRQoL.
Study Type
OBSERVATIONAL
Enrollment
20
Oslo University Hospital
Oslo, Norway
RECRUITINGFeasibility of Home Monitoring: Patient Adherence and Compliance
Adherence and compliance will be assessed by tracking the frequency and completeness of data entries in the digital platform. This includes biweekly symptom reporting, completion of the 1-minute sit-to-stand test (1MSTS), and compliance with ECG monitoring.
Time frame: From enrollment to the end of the study at 12 weeks
Feasibility of Home Monitoring: Technical Feasibility
Technical feasibility will be evaluated based on the occurrence of technical failures, data loss, and missing entries in the home monitoring system. The frequency of reported technical issues and the ability of participants to successfully complete monitoring tasks will be recorded.
Time frame: From enrollment to the end of the study at 12 weeks
Feasibility of Home Monitoring: Agreement Between Home-Based 1MSTS and Hospital-Based 6MWD for Exercise Capacity Assessment
Agreement between home-based 1-minute sit-to-stand test (1MSTS) and hospital-based 6-minute walk distance (6MWD) in assessing exercise capacity will be evaluated using correlation analysis (e.g., Pearson or Spearman correlation) and Bland-Altman plots to assess agreement. A regression model may be applied to explore the predictive relationship between 1MSTS (number of repetitions) and 6MWD (distance in meters). Unit of Measure: * Primary Unit: Agreement (correlation coefficient) * Secondary Units: 1MSTS (number of repetitions), 6MWD (meters)
Time frame: From enrollment to 12 weeks
Feasibility of Home Monitoring: Agreement Between Home-Based and Hospital-Based Peripheral Oxygen Saturation (SpO₂) at Rest and Nadir During Exercise
Agreement between home-based and hospital-based peripheral oxygen saturation (SpO₂) at rest and the lowest (nadir) value during the tests. Unit of Measure: Percentage (%)
Time frame: From enrollment to 12 weeks
Feasibility of Home Monitoring: Agreement Between Home-Based and Hospital-Based Heart Rate Measurements at Rest, Peak Exercise, and Recovery
Agreement between home-based and hospital-based heart rate measurements at rest, at maximum during the tests, and one minute after the tests. Unit of Measure: Beats per minute (bpm)
Time frame: From enrollment to 12 weeks
Feasibility of Home Monitoring: Agreement Between Home-Based and Hospital-Based Borg Dyspnea Scale Scores During Exercise
Agreement between home-based and hospital-based Borg dyspnea scale scores during the tests. Unit of Measure: Borg dyspnea scale score
Time frame: From enrollment to 12 weeks
Feasibility of Home Monitoring: Agreement Between Home-Based and Hospital-Based Visual Analogue Scale (VAS) Scores for Dizziness and Palpitations
Agreement between home-based and hospital-based Visual Analogue Scale (VAS) scores for dizziness and palpitations from 0 - 10 cm with higher values indicating more symptoms. Unit of Measure: VAS score (range: 0-10 cm)
Time frame: From enrollment to 12 weeks
Feasibility of Home Monitoring: Agreement Between Home-Based and Hospital-Based NT-proBNP Measurements
Agreement between home-based and hospital-based NT-proBNP measurements. Unit of Measure: pg/mL
Time frame: From enrollment to 12 weeks
Patient Satisfaction with Home Monitoring
Patient satisfaction with home monitoring will be assessed using the Client Satisfaction Questionnaire (CSQ-8), which evaluates overall satisfaction with the home monitoring system. The CSQ-8 consists of eight items, each rated on a 4-point scale, with a total score range of 8 to 32. Higher scores indicate greater satisfaction. Unit of Measure: CSQ-8 total score (range: 8-32)
Time frame: 12 weeks
Patient Usability, Feasibility and Impact of Home Monitoring
Usability, feasibility, and perceived impact of home monitoring will be assessed using a custom-designed questionnaire. This questionnaire evaluates: * Usability (ease of use, technical difficulties, and disease-related limitations affecting use) * Feasibility (time commitment, disruption to daily life, need for additional guidance) * Impact (perceived usefulness for disease management, confidence in self-care, and emotional responses such as anxiety) Responses will be recorded on Likert scales (1-5 or 1-4, depending on the item). Unit of Measure: Individual questionnaire item scores (Likert scale 1-5 or 1-4)
Time frame: 12 weeks
Patient Engagement with Healthcare Providers
The frequency and reasons for interactions between participants and healthcare providers related to home monitoring will be tracked. These interactions may include technical difficulties, concerns about home-monitoring results, and symptom-related consultations.
Time frame: From enrollment to the end of the study at 12 weeks
Impact of home monitoring on disease burden (EmPHasis-10 Score)
The EmPHasis-10 questionnaire will be used to assess changes in disease burden and health-related quality of life (HRQoL) for patients with pulmonary arterial hypertension. The total score ranges from 0 to 50, with higher scores indicating worse HRQoL. Unit of Measure: EmPHasis-10 total score (range: 0-50)
Time frame: Baseline and 12 weeks
Impact of home monitoring on functional status (mMRC dyspnea scale)
The Modified Medical Research Council (mMRC) Dyspnea Scale will be used to assess changes in perceived breathlessness. The scale ranges from 0 to 4, with higher scores indicating greater dyspnea severity. Unit of Measure: mMRC score (range: 0-4)
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Time frame: Baseline and 12 weeks
Impact of home monitoring on symptoms (VAS symptom scales)
Patient-reported symptoms, including dyspnea, orthopnea, fatigue, dizziness, syncope, palpitations, chest pain, and edema will be assessed using Visual Analogue Scales (VAS, 0-10 cm), where higher values indicate more severe symptoms. Unit of Measure: VAS score (range: 0-10 cm)
Time frame: From enrollment to 12 weeks
Impact of home monitoring on systemic sclerosis disease burden (ScleroID Score)
The EULAR Systemic Sclerosis Impact of Disease (ScleroID) questionnaire will be used to assess disease burden in patients with systemic sclerosis. The ScleroID evaluates ten health dimensions. Each dimension is rated on a numeric rating scale (NRS) from 0 to 10, where higher scores indicate greater disease impact. To calculate the total ScleroID score, each dimension's NRS score is multiplied by a predefined weight, reflecting its relative importance. The weighted scores are summed, resulting in a composite score ranging from 0 (no impact) to 10 (maximum impact). Unit of Measure: ScleroID total score (range: 0-10)
Time frame: Baseline and 12 weeks
Impact of Home Monitoring on Health-Related Quality of Life (EQ-5D-5L Index Score)
The EuroQol EQ-5D-5L descriptive system will be used to assess changes in health-related quality of life (HRQoL) across five dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. Each dimension is rated on a 5-level scale from no problems (Level 1) to extreme problems (Level 5). A country-specific value set will be used to calculate an index value, typically ranging from less than 0 (worse than death) to 1 (perfect health). Unit of Measure: EQ-5D-5L index score (range: \<0 to 1)
Time frame: Baseline and 12 weeks
Impact of Home Monitoring on Health-Related Quality of Life (EQ VAS Score)
The EQ Visual Analogue Scale (EQ VAS) will be used to assess self-rated health status. Participants will rate their overall health on a vertical scale ranging from 0 (worst imaginable health) to 100 (best imaginable health). Unit of Measure: EQ VAS score (range: 0-100)
Time frame: Baseline and 12 weeks
Impact of home monitoring on disability (HAQ Score)
The Health Assessment Questionnaire Disability Index (HAQ-DI) will be used to assess changes in functional disability. The HAQ-DI evaluates functional ability across eight domains of daily activities: (dressing and grooming, arising, eating, walking, hygiene, reach, grip, and activities). The total score ranges from 0 (no disability) to 3 (severe disability). The final HAQ-DI total score is the average of the highest scores in each domain, ranging from 0 (no disability) to 3 (severe disability). If assistive devices or assistance are required, the minimum score for that domain is adjusted to 2. Unit of Measure: HAQ-DI total score (range: 0-3)
Time frame: Baseline and 12 weeks
Impact of home monitoring on anxiety and depression (HADS Score)
The Hospital Anxiety and Depression Scale (HADS) will be used to assess changes in emotional well-being. The HADS consists of two subscales (anxiety and depression), each ranging from 0 to 21, with higher scores indicating greater anxiety or depression. Unit of Measure: HADS total score (range: 0-42) and subscale scores (0-21)
Time frame: Baseline and 12 weeks
PAH Progression
PAH progression will be defined using adapted SERAPHIN criteria, including: (i) death, (ii) lung transplantation, (iii) atrial septostomy, (iv) initiation of parenteral prostanoids, or (v) ≥15% decline in 6MWD from baseline plus worsening PAH symptoms (increased WHO-FC or signs of right heart failure unresponsive to oral diuretics) or initiation of a new PAH-specific therapy (oral/inhaled prostanoids, PDE-5is, ERAs, or sGCs). Progression events will be recorded retrospectively at the final study visit.
Time frame: From enrollment to the end of the study at 12 weeks
PAH Events
PAH events will be recorded as clinical worsening requiring healthcare utilization. Events include non-elective hospital admission or emergency department visits due to PAH, initiation of new PAH-specific therapy, and initiation of long-term oxygen therapy (LTOT). PAH events will be recorded retrospectively at the final study visit.
Time frame: From enrollment to the end of the study at 12 weeks
Changes in hospital-based clinical measures: Change in WHO Functional Class (WHO-FC) from baseline to 12 weeks
Changes in WHO Functional Class (WHO-FC) will be assessed to evaluate changes in symptom severity and functional capacity in pulmonary hypertension. WHO-FC is categorized as: * Class I: No limitation of physical activity * Class II: Mild limitation * Class III: Marked limitation * Class IV: Unable to perform physical activity without symptoms Unit of Measure: WHO-FC classification (Ordinal scale: I-IV)
Time frame: Baseline and 12 weeks
Changes in hospital-based clinical measures: Change in 6-Minute Walk Distance (6MWD) from baseline to 12 weeks
The 6-minute walk distance (6MWD) test measures changes in exercise capacity. The total distance walked (in meters) over 6 minutes will be recorded. Unit of Measure: Distance in meters (m)
Time frame: Baseline and 12 weeks
Changes in hospital-based clinical measures: Change in 1-Minute Sit-to-Stand Test (1MSTS) from baseline to 12 weeks
The 1-minute sit-to-stand test (1MSTS) will assess changes in functional capacity by measuring the number of times a participant can stand up from a chair in 1 minute. Unit of Measure: Number of repetitions
Time frame: Baseline and 12 weeks
Changes in hospital-based clinical measures: Change in Pulmonary Function Tests (PFTs) from baseline to 12 weeks
Pulmonary function tests (PFTs) will assess changes in lung function by measuring: * Forced Vital Capacity (FVC, % predicted) * Diffusing capacity of the lung for carbon monoxide (DLCO, % predicted) Unit of Measure: Percentage of predicted value (% predicted)
Time frame: Baseline and 12 weeks
Changes in hospital-based clinical measures: Change in NT-proBNP Levels from baseline to 12 weeks
Changes in NT-proBNP levels will be assessed as a biomarker for cardiac function and disease progression. Unit of Measure: NT-proBNP concentration (pg/mL)
Time frame: Baseline and 12 weeks
Changes in hospital-based clinical measures: Change in risk stratification score (ESC/ERS Four-Strata Model) from baseline to 12 weeks
Changes in risk stratification will be assessed using the ESC/ERS four-strata model, which categorizes patients based on the mean score into: * Low risk (\<1.50) * Intermediate-low risk (1.50-2.49) * Intermediate-high risk (2.50-3.49) * High risk (≥3.50) The classification is based on cut-off levels of WHO Functional Class (WHO-FC), 6-minute walk distance (6MWD), and NT-proBNP. Each parameter is graded 1 to 4, with the mean score defining the risk category. The model estimates 1-year mortality ranging from 0-3% (low risk) to \>20% (high risk). Unit of Measure: Risk category (low/intermediate-low/intermediate-high/high)
Time frame: Baseline and 12 weeks
Changes in Home-Based Clinical Measures
Changes in home-based clinical measures from baseline to week 12, focusing on 1-minute sit-to-stand test (1MSTS) performance over time.
Time frame: From enrollment to the end of the study at 12 weeks
Agreement Between Home-Based and Hospital-Based Risk Stratification: Determination of 1MSTS cut-offs for risk stratification based on 6MWD
This outcome will determine cut-off values for the 1-minute sit-to-stand test (1MSTS) that correspond to established 6-minute walk distance (6MWD) thresholds used in the ESC/ERS four-strata risk stratification model. The optimal 1MSTS cut-offs will be determined using receiver operating characteristic (ROC) curve analysis and Youden's index to identify thresholds corresponding to established 6MWD cut-off values. Correlation and regression analyses will also be used to assess the relationship between 1MSTS and 6MWD * Primary Unit: 1MSTS cut-off values (number of repetitions) * Reference Unit: 6MWD (meters)
Time frame: From enrollment to 12 weeks
Agreement Between Home-Based and Hospital-Based Risk Stratification: Agreement between home-based and hospital-based ESC/ERS four-strata risk stratification
This outcome will assess the agreement between home-based risk stratification (mMRC, 1MSTS, NT-proBNP) and hospital-based risk stratification (WHO-FC, 6MWD, NT-proBNP) using the ESC/ERS four-strata model. Patients will be categorized based on the mean score into: * Low risk (\<1.50) * Intermediate-low risk (1.50-2.49) * Intermediate-high risk (2.50-3.49) * High risk (≥3.50) Risk classification for home-based measures will follow: * mMRC vs. WHO-FC: The mMRC 0-4 scale will be mapped to the WHO-FC I-IV scale based on established correlations from the COMPERA 2.0 model (mMRC 0-1 = WHO-FC I-II, mMRC 2-3 = WHO-FC III, mMRC 4 = WHO-FC IV). * NT-proBNP: Same cut-off values will be used for home-sampled and hospital-drawn blood. * 1MSTS vs. 6MWD: Cut-off values will be determined based on findings from Outcome Measure 29. Unit of Measure: Risk category (low/intermediate-low/intermediate-high/high)
Time frame: From enrollment to 12 weeks
Reproducibility of Home-Based Measures
The reproducibility of home-based measures will be assessed by comparing patient-reported mMRC vs. physician-reported WHO-FC to evaluate inter-rater agreement in functional classification and home-based 1MSTS vs. hospital-based 1MSTS to assess reproducibility across different settings.
Time frame: From enrollment to the end of the study at 12 weeks
Heart Rhythm Monitoring (ECG 247 Smart Heart Sensor)
Home ECG monitoring will be used to assess the frequency and type of rhythm disturbances, daytime vs. nighttime heart rate (HR), heart rate variability (HRV), and correlation of HR/HRV with hospital-based measures, risk stratification, and PAH progression.
Time frame: One-week monitoring during the 12-week study period