Wearable Devices to Assess Physiological Parameters in Lung Transplant Patients

Justification of the study: The two main complications responsible for death among lung transplant patients are infection and rejection. In-hospital, 1-year and 5-year mortality is 10%, 20%, and 50%, respectively. The main symptoms are dyspnea, fever, drop in oxygen saturation, drop in pulmonary function tests (FEV1). Investigators hypothesize that surveillance of FEV1 and of several physiologic parameters though connected devices could improve early diagnostic of complications, namely rejection and infection. Surveillance of these patients through connected devices could reduce both mortality and morbidity.

Design of the study: Prospective, observational, monocentric study (Bichat-Hospital, Université Paris 7, France) Main objectives and main endpoint: the main objective is to describe the natural trend of six physiologic parameters (SpO2, heart rate, respiratory rate, cutaneous temperature, physical activity and quality of sleep) and of FEV1 in patients who have benefited from lung transplantation within one year) and to specifically assess the evolution of these parameters a few days before the occurrence of complications. The main criteria of judgment will be mean and standard deviation of these parameters five days before the occurrence of an event, defined by hospitalization for infection and/or graft rejection.

Secondary objectives and secondary endpoints:

The secondary objectives will be:

- To validate metrologic performances of the connected devices.

- To describe the modifications of the physiologic parameters within days before a drop of 10% of FEV1

- To describe the modifications of the physiologic parameters before the occurrence of complications requiring anti-infective and/or anti reject therapies

- To evaluate the interval between modifications of physiologic parameters and the occurrence of infection and/or reject.

- To evaluate the acceptability for the patient and the compliance of connected devices.

The secondary criteria of judgment will be:

- The agreement between physiologic parameters measured through the connected devices and those measured with usual method ("gold standard) during visits in the day-care center

- The mean and standard deviation of the physiologic parameters (including FEV1) recorded for each patient

- The effect of combined physiologic parameters to predict a 10% drop in FEV1, and/or the occurrence of infection and/or the occurrence of graft rejection within 5 days after measurement.

- The interval in days between substantial modifications of physiologic parameters and the occurrence of infection and/or graft rejection.

- The patient's satisfaction measured with a simple questionnaire.

Inclusion criteria

- Adult patients older than 18-years

- Mono or pulmonary transplantation whatever the cause, within the last 12 months

- Inform consent given

- Skill to use connected devices Exclusion criteria

- No exclusion criteria

The devices and the App

Each patient will receive a health kit with the following:

- An App with an electronic formulary allowing the implementation of relevant clinical items: dyspnea, cough, sputum characteristics

- A smartphone

- A connected spirometer

- Wearable devices to record the physiologic parameters.

Duration of the study

Inclusion period: 6 months, Duration of follow-up: 6 months Total duration of the study: 12 months Statistical analysis The distributions of physiologic parameters will be described through mean+/- SD. The comparison of distribution of each physiologic parameter within five days before an event (infection/graft rejection) will allow to define regions in parameter's space associated with an increase in the risk of subsequent events occurrence. For these regions, sensitivity and specificity for predefined thresholds will be calculated. For each event, we will calculate the interval between the entry in a risk region and the occurrence of the event. The standard curve between values recorded through the connected devices and those recorded with the reference measures determined in the hospital will be evaluated with a Bland-Altman representation. The satisfaction questionnaire will be analyzed according to standard methods (distribution of each item, Cronbach alpha coefficient, factorial analyses.