Figures
Abstract
Introduction
Interstitial lung disease is one of the most severe pulmonary complications related to connective tissue diseases, resulting in substantial morbidity and mortality. Telepneumology has the potential to improve the long-term management of patients with CTD-ILD. We propose a randomized controlled trial to evaluate the efficacy of home-based telemonitoring of patients with CTD-ILD, in whom treatment was initiated.
Materials and methods
We will conduct a randomized controlled trial comparing the standard of care with a telemonitoring program. Telemonitoring will start 10 to 14 days before treatment and will be carried out for three months of therapy. After initial training, patients from the intervention group will perform daily spirometry (FVC), transdermal pulse oximetry, pulse and blood pressure measurements, activity measurement (accelerometry), and assessment of the severity of cough and dyspnea. The results will be reported using a telemetric system designed by Mediguard® for this study. The primary outcome measure will be the health-related quality of life change using EQ-5D-5L questionnaire and St. George’s Respiratory Questionnaire, as measured at stationary visits in both study groups. Secondary outcomes will include assessment of lung function, costs of health service utilization, satisfaction from being telemonitored, dyspnea by mMRC, fatigue by FAS, patients’ adherence to recommended medications using the ASCD, anxiety and depression symptoms as measured by HADS, PHQ-9, and side effects of treatment.
Discussion
This is the first clinical trial protocol to evaluate home-based telemonitoring to optimize connective tissue disease-associated interstitial lung management. The study aims to provide data on the impact of telemonitoring on quality of life, evaluation of health status of patients with CTD-ILD using telemonitoring versus standard care. Additionally, we will evaluate the cost-effectiveness of telemonitoring solutions in patients with CTD-ILD.
Trial registration
ClinicalTrials.gov Identifier: NCT04428957; Registered June 11, 2020; https://clinicaltrials.gov/ct2/show/NCT04428957.
Citation: Małysiak-Szpond S, Mozga M, Miądlikowska E, Miłkowska-Dymanowska J, Białas AJ, Piotrowski WJ (2022) Study protocol for connective tissue disease-associated interstitial lung disease trial (TEL-CTD-ILD): A randomized controlled trial of a home-based telemonitoring of treatment effects. PLoS ONE 17(12): e0278601. https://doi.org/10.1371/journal.pone.0278601
Editor: Minghua Wu, University of Texas McGowan Medical School at Houston, UNITED STATES
Received: January 10, 2022; Accepted: November 17, 2022; Published: December 27, 2022
Copyright: © 2022 Małysiak-Szpond et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Deidentified research data will be made publicly available when the study is completed and published.
Funding: The study is funded by the Polish Ministry of Science and Higher Education (0047/DW/2018).
Competing interests: The authors have declared that no competing interests exist.
1. Introduction
Interstitial lung disease (ILD) is one of the most severe pulmonary complications related to connective tissue diseases (CTDs), resulting in substantial morbidity and mortality. Interstitial lung disease (ILD) and connective tissue disease (CTD) are heterogeneous, complex diseases that require a systematic diagnosis and cross-disciplinary care [1–4]. Approximately 30% of individuals presenting with ILD suffer from CTD. In about 15% of these patients, the development of ILD anticipates the appearance of a complete clinical picture of CTD [5].
Publications show broad ranges in the prevalence of CTD-ILD between countries. Interstitial lung disease is a common manifestation of different connective tissue diseases, such as scleroderma, rheumatoid arthritis (RA), Sjögren’s syndrome, systemic lupus, dermatomyositis, and others [6]. ILD is reported in up to 90% of patients with systemic sclerosis, 4–68% of rheumatoid arthritis, 20–85% of mixed connective tissue disease, and 15–70% of the inflammatory myopathies—polymyositis and dermatomyositis [7, 8]. The prevalence of CTD-ILD was approximated as 12.14 per 100.000 [9].
Most often, CTD-ILD patients display radiological and histopathological patterns of nonspecific interstitial pneumonia (NSIP), usual interstitial pneumonia (UIP), organizing pneumonia (OP), fibrosing OP, diffuse alveolar damage (DAD), and lymphocytic interstitial pneumonia (LIP).
The current standard of care in progressive non-fibrotic CTD associated ILD is low to medium doses of corticosteroids, frequently combined with immunosuppressive medication, depending on disease severity and local standards. However, based on clinical and radiological features, it is difficult to predict the response to the treatment. The effectiveness of the treatment is assessed by functional tests and chest high resolution computed tomography (HRCT), usually performed after 3 months of therapy [10].
CTD-ILD patients require accurate monitoring of pulmonary complications, symptoms, and pulmonary function trends for optimal long-term management. Home telemonitoring of chronic diseases seems to be a promising patient management approach. According to our knowledge, there are currently no randomized clinical studies published comparing CTD-ILD patients subjected to telemonitoring with a control group consisting of patients under conventional clinical follow-up.
The study protocol objective is to assess the possible benefits of telemonitoring of clinical parameters, symptoms, and quality of life of patients with CTD-ILD in response to treatment. The health-related quality of life is crucial in evaluating the patient-oriented approach to decision-making in the primary outcome measure. We will possibly gain evidence on telemedicine’s cost-effectiveness by presenting the results of a cost-utility analysis of a telemonitoring intervention to patients with CTD-ILD compared with the standard of practice.
2. Materials and methods
2.1. Study principles
The protocol follows the SPIRIT 2013 (Standard Protocol Items: Recommendations for Interventional Trials) and the Template for Interventions Description and Replication (TIDieR) checklist for a description of the interventions [11, 12] (Fig 1). Once completed, the reporting will follow the CONSORT (Consolidated Standards of Reporting Trials) Statement for non-pharmacologic trials [13] (Fig 2). Data collection for the study will be completed by June 2023.
2.2. Study design
The study was designed as a single institution randomized controlled trial (Fig 3). The trial investigates the effect of telemonitoring on quality of life. Telemetry will include functional and vital signs, symptoms of patients with CTD-ILD in response to treatment, and potential side of effects. (ClinicalTrial.gov-identifier: NCT04428957). Active recruitment strategies that engage health care professionals will be applied. Patients of the Department of Pneumology of the Medical University of Lodz or the adjacent outpatient clinic diagnosed with CTD-ILD will be randomized to the intervention group (telemonitoring) or the control group (conventional assessment). The Ethical Committee for Human Studies of the Medical University of Lodz approved the study procedures (No. RNN/88/19/KE). All participants will provide written informed consent at the time of enrolment, and all ethical principles of confidentiality and data protection will be maintained. The protocol of the study was registered in Clinical Trials database at the registration number NCT04428957.
Patients potentially eligible for the study and those who signed the consent will undergo clinical screening: functional tests (spirometry, six-minute walking test, body plethysmography); HRCT examination; bronchofiberoscopy and bronchoalveolar lavage (BAL); transbronchial or transthoracic biopsy if needed; dyspnea and cough assessment at–t1 time point (Fig 1). Primary and secondary outcome measures will be administered at 0 time point (baseline) and t1 time point (12-weeks follow up). The change in health-related quality of life measured by the EQ-5D-5L questionnaire and St. George’s Respiratory Questionnaire at three months will be the primary outcome [14–17]. Secondary outcomes are summarized in Fig 1. Patients in the telemonitoring group after initial training will perform daily spirometry (FVC), transdermal pulse oximetry, pulse and blood pressure measurements, activity measurement (accelerometry), and assessment of severity of cough (5-point Lickert scale), dyspnea (mMRC), and fatigue (FAS–fatigue assessment scale) [18–21]. Potential side-effects of treatment will also be assessed. Telemonitoring will start 10 to 14 days before treatment and will be carried out for three months of therapy. All patients will receive treatment following current standards. During the 3-month observation period, visits to the center will take place at monthly intervals. In the case of treatment intolerance or deterioration of monitored parameters, patients will be evaluated at additional time points.
The primary hypothesis is that telemonitoring will affect the quality of life. On the other hand, QoL would measure the treatment effectiveness and be a valuable tool in the healthcare of patients suffering from CTD-ILD. We expect a mean between-group difference of 0.03 score in the EQ-5D-5L test after completing the CTD-ILD telemonitoring programs (primary endpoint at 13-weeks). The minimal clinically significant difference for the EQ-5D-5L is 0.037 ± 0.008 [22]. In the case of the Respiratory Questionnaire of St. George, we assume that the minimum significant difference is 4 units, similar to what was described in COPD [23].
2.3. Inclusion and exclusion criteria
Patients eligible for this trial will be newly diagnosed with interstitial lung disease with a less than 10% component of fibrotic changes, will have indications for systemic glucocorticoid therapy +/- immunosuppressant, will be aged 18 years or older. Female patients will be using effective contraception. All patients will need to obtain a positive result in Mini–Mental State Examination ensuring the possibility of efficient operation of monitoring devices and training using telemedicine equipment [24, 25].
Those patients with evidence of irreversible interstitial fibrotic changes in lung HRCT will be excluded. Patients with the pattern of definite or probable UIP in the HRCT examination or contraindications to glucocorticoid and immunosuppressive therapy (azathioprine or mycophenolate mofetil or cyclophosphamide or cyclosporine) will be considered ineligible to participate. Pregnant and breastfeeding women will be excluded from participation in the trial. All study participants will be asked to provide informed written consent to participate in the study.
2.4. Randomization
Randomization will be carried out using the envelope method, which will generate the allocation sequence and assign participants to interventions. After baseline assessments, patients will be randomly allocated to the intervention group (telemonitoring) or the control group (standard of care). The randomization will be a 1:1 randomization block from each recruiting.
2.5. Sample size
The sample size was determined using data provided by Welling et al [26]. We assume that superiority margin is chosen to be 0.05. Difference in mean SGRQ score is 7.5 and the standard deviation is 15.8. For achieving an 80% power at the 5% level of significance with equal allocation and 10% dropout, the sample size is 26 patients in each group [27]. This calculation was based on taking into consideration quality of life changes as the primary endpoint. To achieve other endpoints higher numbers of examined subjects may be required. Therefore, the first data report will be assumed as preliminary.
2.6. Study group
Patients allocated to the control group will receive the usual medical care provided by the health professionals in the Department of Pneumology of the Medical University of Lodz or the adjacent Outpatient Clinic.
In the home-based telemonitoring group, daily telemonitoring of the following parameters will be obtained: heart rate (HR), blood pressure (BP), pulse oximetry (SpO2), spirometry (FVC), activity (accelerometry), and severity of cough, dyspnea, and fatigue. The results will be reported using telemetric system designed for this study (Mediguard®). In the event of deterioration of monitored parameters below the set thresholds or failure to register them by the patient, team members will be required to contact the patient by phone within the next 24 hours.
All study patients in the home-based telemonitoring and control group will receive treatment following the current treatment standards. During the 3-month observation period, visits to the center will take place at monthly intervals. In the case of treatment intolerance or deterioration of monitored parameters, patients will be evaluated at additional time points. All patients after the end of the 3-month follow-up will remain under the care of the clinic and will be examined during regular visits every three months until the end of the 12-month follow-up period.
2.7. Data analysis
Data analysis will be performed using STATISTICA, StatSoft, Inc. ver. 8.0. statistical package (data analysis software system). In all the calculations, the statistical significance level will be set to p<0.05. Descriptive variables will be presented as means, standard deviation, medians depending on the distribution of the variable. The baseline characteristics of the intervention and control groups will be compared using Student’s t-test for normally distributed continuous variables, if the normality can’t be assumed Mann-Whitney U test will be used instead. Chi-square test or Fisher’s exact test as appropriate for categorical variables comparing groups.
The primary analysis will be performed for intention to treat (ITT) population. All observed data in primary and secondary outcomes at 3/6 months follow-up will be included in the analysis, with the mixed-effects models. Linear mixed-effects models will be used to handle missing data in the dependent variable using maximum likelihood estimation. Cost-effectiveness analysis will be performed based on cost calculations per quality adjusted life year calculated from EQ-5D-5 L scores changes over time. Costs and relatives are estimated from national administrative health registries. Costs in telemonitoring and control group related to CTD-ILD treatment and involved in the use of health care services by patients will be estimated based on patients’ report questionnaire. Healthcare utilization will be assessed through the number of emergency department, hospital or outpatient clinic visits, medications and adverse events treatments. Resource use categories will be monetarily valued using unit cost and multiplied with the collected amount of resource use.
3. Discussion
Implementing appropriate, accessible, affordable, scalable, and sustainable personalized digital health technologies is crucial for WHO Global Strategy on Digital Health 2020–2025 [28]. Digital health can improve health outcomes, efficiency, and cost-effectiveness of health care. The benefit of telemonitoring on detection of pulmonary exacerbations, lung function and quality of life were shown in many studies in chronic lung diseases. Several systematic reviews of telemonitoring in the asthma population concluded that the quality of evidence was inconsistent [29, 30]. Still, the benefits of telemonitoring over usual care in the quality of life were reported. Similarly, based on systematic review data, telemonitoring services in chronic obstructive pulmonary disease created conflicting results due to the high variability of patients monitored, service lines, types of technology, and severity of disease state [31, 32].There are currently no randomized clinical studies published assessing telemonitoring CTD-ILD patients.
The current study will provide a detailed description of the telemonitoring program for patients with CTD-ILD, which aims to provide data on the impact of telemonitoring on quality of life and evaluation of health status of patients with CTD-ILD using telemonitoring versus standard care. The design of the TEL-CTD-ILD trial is based on high-quality criteria of a randomized controlled clinical trial. Mediguard® software used in the trial enables the lung function data to be transmitted automatically via a Bluetooth connection to the researcher’s computer. The study team will secure personal data following the highest available standards. The results from this study will most likely provide necessary knowledge regarding treatment response patterns, risk factors for poor response, and evaluation of clinical prognostic factors in patients with CTD-ILD. The study will also contribute to the existing knowledge regarding evaluation of the cost-effectiveness of telemonitoring solutions in patients with CTD-ILD.
Remote techniques of clinical observation are of particular importance in the era of COVID-19 pandemics. In many medical centers, patients encountered difficulties gaining direct contact with their leading physician and other medical staff members in these challenging times. Patients suffering from chronic respiratory diseases are at increased risk of SARS-Cov-2 infection, and the risk increases significantly when immunosuppressive treatment is introduced. In this specific situation, the potential usefulness of telemonitoring application for monitoring treatment effects could reduce the need for on-site visits in a hospital, thus reducing the risk of severe treatment complications.
Supporting information
S1 Checklist. SPIRIT 2013 checklist: Recommended items to address in a clinical trial protocol and related documents.
https://doi.org/10.1371/journal.pone.0278601.s001
(DOC)
Acknowledgments
The authors would like to thank the study participants and staff at Department of Pneumology of the Medical University of Lodz for their involvement of this trial.
References
- 1. Fischer A, du Bois R. Interstitial lung disease in connective tissue disorders. The Lancet. 2012 Aug;380(9842):689–98. pmid:22901890
- 2. Ha Y-J, Lee YJ, Kang EH. Lung Involvements in Rheumatic Diseases: Update on the Epidemiology, Pathogenesis, Clinical Features, and Treatment. BioMed Res Int. 2018;2018:1–19. pmid:29854780
- 3. Arrossi AV. Pulmonary Pathology in Rheumatic Disease. Clin Chest Med. 2019 Sep;40(3):667–77. pmid:31376899
- 4. Karakontaki FV, Panselinas ES, Polychronopoulos VS, Tzioufas AG. Targeted therapies in interstitial lung disease secondary to systemic autoimmune rheumatic disease. Current status and future development. Autoimmun Rev. 2021 Feb;20(2):102742. pmid:33333235
- 5. Mittoo S, Gelber AC, Christopher-Stine L, Horton MR, Lechtzin N, Danoff SK. Ascertainment of collagen vascular disease in patients presenting with interstitial lung disease. Respir Med. 2009 Aug;103(8):1152–8. pmid:19304475
- 6. Travis WD, Costabel U, Hansell DM, King TE, Lynch DA, Nicholson AG, et al. An official American Thoracic Society/European Respiratory Society statement: Update of the international multidisciplinary classification of the idiopathic interstitial pneumonias. Am J Respir Crit Care Med. 2013 Sep 15;188(6):733–48. pmid:24032382
- 7. Wallace B, Vummidi D, Khanna D. Management of connective tissue diseases associated interstitial lung disease: a review of the published literature. Curr Opin Rheumatol. 2016 May;28(3):236–45. pmid:27027811
- 8. Duchemann B, Annesi-Maesano I, Jacobe de Naurois C, Sanyal S, Brillet P-Y, Brauner M, et al. Prevalence and incidence of interstitial lung diseases in a multi-ethnic county of Greater Paris. Eur Respir J. 2017 Aug;50(2):1602419. pmid:28775045
- 9. Travis WD, Costabel U, Hansell DM, King TE, Lynch DA, Nicholson AG, et al. An Official American Thoracic Society/European Respiratory Society Statement: Update of the International Multidisciplinary Classification of the Idiopathic Interstitial Pneumonias. Am J Respir Crit Care Med. 2013 Sep 15;188(6):733–48. pmid:24032382
- 10. Lee JY, Jin S-M, Lee BJ, Chung DH, Jang B-G, Park HS, et al. Treatment Response and Long Term Follow-up Results of Nonspecific Interstitial Pneumonia. J Korean Med Sci. 2012;27(6):661. pmid:22690098
- 11. Chan A-W, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, et al. SPIRIT 2013 Statement: Defining Standard Protocol Items for Clinical Trials. Ann Intern Med. 2013 Feb 5;158(3):200. pmid:23295957
- 12. Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ. 2014 Mar 7;348(mar07 3):g1687–g1687. pmid:24609605
- 13. Boutron I, Moher D, Altman DG, Schulz KF, Ravaud P, for the CONSORT Group. Methods and Processes of the CONSORT Group: Example of an Extension for Trials Assessing Nonpharmacologic Treatments. Ann Intern Med. 2008 Feb 19;148(4):W-60.
- 14. Jones PW, Quirk FH, Baveystock CM. The St George’s Respiratory Questionnaire. Respir Med. 1991 Sep;85:25–31. pmid:1759018
- 15. Kuźniar T, Patkowski J. [St. George’s Hospital questionnaire (St. George’s Respiratory Questionnaire) as an instrument for quality of life assessment in respiratory tract diseases]. Pol Arch Med Wewn. 2000 Jul;104(1):401–12.
- 16. EuroQol—a new facility for the measurement of health-related quality of life. Health Policy. 1990 Dec;16(3):199–208. pmid:10109801
- 17. Golicki D, Jakubczyk M, Graczyk K, Niewada M. Valuation of EQ-5D-5L Health States in Poland: the First EQ-VT-Based Study in Central and Eastern Europe. PharmacoEconomics. 2019 Sep;37(9):1165–76. pmid:31161586
- 18. Mahler DA, Wells CK. Evaluation of Clinical Methods for Rating Dyspnea. Chest. 1988 Mar;93(3):580–6. pmid:3342669
- 19. Vries J, Michielsen H, Heck GL, Drent M. Measuring fatigue in sarcoidosis: The Fatigue Assessment Scale (FAS). Br J Health Psychol. 2004 Sep;9(3):279–91. pmid:15296678
- 20. de Kleijn WPE, De Vries J, Wijnen PAHM, Drent M. Minimal (clinically) important differences for the Fatigue Assessment Scale in sarcoidosis. Respir Med. 2011 Sep;105(9):1388–95. pmid:21700440
- 21. Hendriks C, Drent M, Elfferich M, De Vries J. The Fatigue Assessment Scale: quality and availability in sarcoidosis and other diseases. Curr Opin Pulm Med. 2018 Sep;24(5):495–503. pmid:29889115
- 22. McClure NS, Sayah FA, Xie F, Luo N, Johnson JA. Instrument-Defined Estimates of the Minimally Important Difference for EQ-5D-5L Index Scores. Value Health. 2017 Apr;20(4):644–50. pmid:28408007
- 23. Jones PW. St. George’s Respiratory Questionnaire: MCID. COPD J Chronic Obstr Pulm Dis. 2005 Jan;2(1):75–9.
- 24. Burns A, Brayne C, Folstein M. Key Papers in Geriatric Psychiatry: mini-mental state: a practical method for grading the cognitive state of patients for the clinician. M. Folstein, S. Folstein and P. McHugh,Journal of Psychiatric Research, 1975,12, 189–198. Int J Geriatr Psychiatry. 1998 May;13(5):285–94.
- 25. Foreman MD, Fletcher K, Mion LC, Simon L, Niche Faculty. Assessing cognitive function. Geriatr Nur (Lond). 1996 Sep;17(5):228–32.
- 26. Welling JBA, Hartman JE, Ten Hacken NHT, Klooster K, Slebos D-J. The minimal important difference for the St George’s Respiratory Questionnaire in patients with severe COPD. Eur Respir J. 2015 Dec;46(6):1598–604. pmid:26493797
- 27. Wang X, Ji X. Sample Size Estimation in Clinical Research. Chest. 2020 Jul;158(1):S12–20.
- 28.
World Health Organization. WHO guideline: recommendations on digital interventions for health system strengthening [Internet]. Geneva: World Health Organization; 2019 [cited 2021 Oct 27]. 206 p. Available from: https://apps.who.int/iris/handle/10665/311941.
- 29. Kew KM, Cates CJ. Home telemonitoring and remote feedback between clinic visits for asthma. Cochrane Airways Group, editor. Cochrane Database Syst Rev [Internet]. 2016 Aug 3 [cited 2021 Oct 28];2016(8). Available from: pmid:27486836
- 30. Schulte MHJ, Aardoom JJ, Loheide-Niesmann L, Verstraete LLL, Ossebaard HC, Riper H. Effectiveness of eHealth Interventions in Improving Medication Adherence for Patients With Chronic Obstructive Pulmonary Disease or Asthma: Systematic Review. J Med Internet Res. 2021 Jul 27;23(7):e29475. pmid:34313593
- 31. Claudio Pedone DL. Systematic review of telemonitoring in COPD: an update. Pneumonol Alergol Pol. 2015;83(6):476–84. pmid:26559801
- 32. Kruse C, Pesek B, Anderson M, Brennan K, Comfort H. Telemonitoring to Manage Chronic Obstructive Pulmonary Disease: Systematic Literature Review. JMIR Med Inform. 2019 Mar 20;7(1):e11496. pmid:30892276