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1.
Curr Opin Pulm Med ; 29(4): 285-292, 2023 07 01.
Article in English | MEDLINE | ID: mdl-37212372

ABSTRACT

PURPOSE OF REVIEW: Online technologies play an increasing role in facilitating care for patients with interstitial lung disease (ILD). In this review, we will give an overview of different applications of the internet of medical things (IoMT) for patients with ILD. RECENT FINDINGS: Various applications of the IoMT, including teleconsultations, virtual MDTs, digital information, and online peer support, are now used in daily care of patients with ILD. Several studies showed that other IoMT applications, such as online home monitoring and telerehabilitation, seem feasible and reliable, but widespread implementation in clinical practice is lacking. The use of artificial intelligence algorithms and online data clouds in ILD is still in its infancy, but has the potential to improve remote, outpatient clinic, and in-hospital care processes. Further studies in large real-world cohorts to confirm and clinically validate results from previous studies are needed. SUMMARY: We believe that in the near future innovative technologies, facilitated by the IoMT, will further enhance individually targeted treatment for patients with ILD by interlinking and combining data from various sources.


Subject(s)
Artificial Intelligence , Lung Diseases, Interstitial , Humans , Lung Diseases, Interstitial/drug therapy , Internet
2.
BMC Pulm Med ; 23(1): 51, 2023 Feb 02.
Article in English | MEDLINE | ID: mdl-36732734

ABSTRACT

BACKGROUND: Pulmonary fibrosis (PF) is caused by a heterogeneous group of diseases, with a high inter-individual variability in disease trajectory. Identifying disease progression in patients with PF has impact on clinical management decisions. However, strategies to early identify and predict disease progression for these patients are currently lacking. In this study, we aim to assess long-term FVC change in patients with PF measured with home spirometry, and evaluate the feasibility of a multinational patient-led registry in PF. In addition, we will assess validity of patient-reported outcomes (PROMs) for the different subgroups of patients with PF. METHODS: In this international, prospective, multicenter, observational study, we aim to include 700 patients across seven European countries. Patients will monitor their disease course for a period of two years using an online home monitoring program (I-FILE), which includes home spirometry, pulse oximetry, and PROMs. Results will be directly sent to the hospital via the online application. Patients will be asked to perform daily home spirometry and pulse oximetry in the first three months, followed by once weekly measurements for a period of two years. PROMs will be completed in the online I-FILE application every six months, including the King's brief Interstitial Lung Disease Health Status, The EuroQol five dimensions five-level, Visual Analogue Scales on cough, dyspnea, fatigue and general complaints, Leicester Cough Questionnaire, Fatigue Assessment Scale, Work Productivity and Activity Impairment Questionnaire, Global Rating of Change Scale, and Living with Pulmonary Fibrosis questionnaire. DISCUSSION: This study will provide much needed insights in disease trajectories of the different subgroups of patients with PF. Simultaneously, the I-FILE study will yield valuable information on the use and feasibility of home-based data collection. This international patient-led registry will facilitate trans-border collaboration to further optimize care and research for patients with PF. TRIAL REGISTRATION: The study was registered on the 12th of March 2020 in the International Clinical Trial Registry, www. CLINICALTRIALS: gov ; Identifier: NCT04304898.


Subject(s)
Pulmonary Fibrosis , Humans , Pulmonary Fibrosis/diagnosis , Prospective Studies , Cough , Disease Progression , Registries , Observational Studies as Topic , Multicenter Studies as Topic
3.
Respirology ; 27(7): 501-509, 2022 07.
Article in English | MEDLINE | ID: mdl-35441433

ABSTRACT

BACKGROUND AND OBJECTIVE: To develop targeted and efficient follow-up programmes for patients hospitalized with coronavirus disease 2019 (COVID-19), structured and detailed insights in recovery trajectory are required. We aimed to gain detailed insights in long-term recovery after COVID-19 infection, using an online home monitoring programme including home spirometry. Moreover, we evaluated patient experiences with the home monitoring programme. METHODS: In this prospective multicentre study, we included adults hospitalized due to COVID-19 with radiological abnormalities. For 6 months after discharge, patients collected weekly home spirometry and pulse oximetry measurements, and reported visual analogue scales on cough, dyspnoea and fatigue. Patients completed the fatigue assessment scale (FAS), global rating of change (GRC), EuroQol-5D-5L (EQ-5D-5L) and online tool for the assessment of burden of COVID-19 (ABCoV tool). Mixed models were used to analyse the results. RESULTS: A total of 133 patients were included in this study (70.1% male, mean age 60 years [SD 10.54]). Patients had a mean baseline forced vital capacity of 3.25 L (95% CI: 2.99-3.44 L), which increased linearly in 6 months with 19.1% (Δ0.62 L, p < 0.005). Patients reported substantial fatigue with no improvement over time. Nevertheless, health status improved significantly. After 6 months, patients scored their general well-being almost similar as before COVID-19. Overall, patients considered home spirometry useful and not burdensome. CONCLUSION: Six months after hospital admission for COVID-19, patients' lung function and quality of life were still improving, although fatigue persisted. Home monitoring enables detailed follow-up for patients with COVID-19 at low burden for patients and for the healthcare system.


Subject(s)
COVID-19 , Quality of Life , Adult , Fatigue/etiology , Female , Humans , Lung/diagnostic imaging , Male , Middle Aged , Prospective Studies
4.
Clin Transl Sci ; 15(4): 930-941, 2022 04.
Article in English | MEDLINE | ID: mdl-34905302

ABSTRACT

A high intrapatient variability (IPV) in tacrolimus exposure is a risk factor for poor long-term outcomes after kidney transplantation. The main objective of this trial was to investigate whether tacrolimus IPV decreases after switching patients from immediate-release (IR)-tacrolimus to either extended-release (ER)-tacrolimus or LifeCyclePharma (LCP)-tacrolimus. In this randomized, prospective, open-label, cross-over trial, adult kidney transplant recipients on a stable immunosuppressive regimen, including IR-tacrolimus, were randomized for conversion to ER-tacrolimus or LCP-tacrolimus, and for the order in which IR-tacrolimus and the once-daily formulations were taken. Patients were followed 6 months for each formulation, with monthly tacrolimus predose concentration assessments to calculate the IPV. The IPV was defined as the coefficient of variation (%) of dose corrected predose concentrations. Ninety-two patients were included for analysis of the primary outcome. No significant differences between the IPV of IR-tacrolimus (16.6%) and the combined once-daily formulations (18.3%) were observed (% difference +1.7%, 95% confidence interval [CI] -1.1% to -4.5%, p = 0.24). The IPV of LCP-tacrolimus (20.1%) was not significantly different from the IPV of ER-tacrolimus (16.5%, % difference +3.6%, 95% CI -0.1% to 7.3%, p = 0.06). In conclusion, the IPV did not decrease after switching from IR-tacrolimus to either ER-tacrolimus or LCP-tacrolimus. These results provide no arguments to switch kidney transplant recipients from twice-daily (IR) tacrolimus formulations to once-daily (modified-release) tacrolimus formulations when the aim is to lower the IPV.


Subject(s)
Kidney Transplantation , Tacrolimus , Adult , Cross-Over Studies , Graft Rejection/prevention & control , Humans , Immunosuppressive Agents/adverse effects , Kidney Transplantation/adverse effects , Prospective Studies , Tacrolimus/adverse effects
5.
Ann Am Thorac Soc ; 19(4): 551-561, 2022 04.
Article in English | MEDLINE | ID: mdl-34582728

ABSTRACT

Rationale: Data on longitudinal recovery after hospitalization for coronavirus disease (COVID-19) currently remain scarce, just as outcomes beyond 3 months of follow-up do. Objectives: To evaluate the sequelae up to 6 months after hospitalization for COVID-19 by considering 1) recovery as it relates to pulmonary function, radiological abnormalities, physical and mental health status, and health-related quality of life (HR-QoL) and 2) the predictors of the most clinically relevant sequelae. Methods: Patients were evaluated at 6 weeks, 3 months, and 6 months after hospitalization by using pulmonary function testing, radiological evaluation, and online questionnaires on the physical and mental health status and HR-QoL. Outcomes were analyzed using repeated-measurement analyses. Results: Ninety-two patients were included (mean age, 58.2 ± 12.3 yr; 58 [63.0%] men). The estimated percentage of patients with impaired forced vital capacity improved from 25% at 6 weeks to 11% at 6 months; for impaired diffusion capacity, this percentage improved from 63% to 46%. Radiologically, ground-glass opacity decreased but fibrosis persisted. The majority of patients (89.1%) still reported one or more symptoms 6 months after discharge. Fatigue decreased significantly over time (P = 0.006). Nonetheless, fatigue remained in 51% of the patients at 6 months. HR-QoL (nearly) normalized in most domains at 6 months, except for physical role functioning, with persistent fatigue and the length of hospitalization being the most important predictors. Conclusions: During the first 6 months after hospitalization for COVID-19, most patients demonstrated continuing recovery across all health domains, but persistent sequelae were frequent. Fatigue was the most frequent residual and persistent symptom up to 6 months after hospitalization, importantly impacting HR-QoL.


Subject(s)
COVID-19 , Quality of Life , Aged , COVID-19/therapy , Hospitalization , Humans , Longitudinal Studies , Male , Middle Aged , SARS-CoV-2
6.
ERJ Open Res ; 7(3)2021 Jul.
Article in English | MEDLINE | ID: mdl-34471631

ABSTRACT

The #COVID19 pandemic has led to an increase in the use of eHealth for patients with interstitial lung disease. Healthcare providers worldwide are positive towards further implementation of eHealth for research and clinical practice. https://bit.ly/3h2545M.

7.
Eur Respir J ; 57(1)2021 01.
Article in English | MEDLINE | ID: mdl-32732331

ABSTRACT

INTRODUCTION: Early and accurate diagnosis of interstitial lung diseases (ILDs) remains a major challenge. Better noninvasive diagnostic tools are much needed. We aimed to assess the accuracy of exhaled breath analysis using eNose technology to discriminate between ILD patients and healthy controls, and to distinguish ILD subgroups. METHODS: In this cross-sectional study, exhaled breath of consecutive ILD patients and healthy controls was analysed using eNose technology (SpiroNose). Statistical analyses were done using partial least square discriminant analysis and receiver operating characteristic analysis. Independent training and validation sets (2:1) were used in larger subgroups. RESULTS: A total of 322 ILD patients and 48 healthy controls were included: sarcoidosis (n=141), idiopathic pulmonary fibrosis (IPF) (n=85), connective tissue disease-associated ILD (n=33), chronic hypersensitivity pneumonitis (n=25), idiopathic nonspecific interstitial pneumonia (n=10), interstitial pneumonia with autoimmune features (n=11) and other ILDs (n=17). eNose sensors discriminated between ILD and healthy controls, with an area under the curve (AUC) of 1.00 in the training and validation sets. Comparison of patients with IPF and patients with other ILDs yielded an AUC of 0.91 (95% CI 0.85-0.96) in the training set and an AUC of 0.87 (95% CI 0.77-0.96) in the validation set. The eNose reliably distinguished between individual diseases, with AUC values ranging from 0.85 to 0.99. CONCLUSIONS: eNose technology can completely distinguish ILD patients from healthy controls and can accurately discriminate between different ILD subgroups. Hence, exhaled breath analysis using eNose technology could be a novel biomarker in ILD, enabling timely diagnosis in the future.


Subject(s)
Exhalation , Lung Diseases, Interstitial , Breath Tests , Cross-Sectional Studies , Humans , Lung Diseases, Interstitial/diagnosis , ROC Curve
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