Abstract: Provided is a pharmaceutical composition comprising an oral corticosteroid for use in post-exacerbation treatment of a respiratory disease in a subject, which post-exacerbation treatment includes an initial dose of the oral corticosteroid. The post-exacerbation treatment being continued until fulfilment of an inhalation parameter criterion by one or more post-exacerbation inhalations performed by the subject with at least one inhaler and/or fulfilment of a rescue inhaler usage criterion relating to post-exacerbation usage of a rescue inhaler configured to deliver a rescue medicament to the subject, at which point the dose of the oral corticosteroid is changed from the initial dose. Further provided are systems and methods for determining whether the inhalation parameter criterion is fulfilled and for comparing a post-exacerbation value of an inhalation parameter to a baseline value of the inhalation parameter.

Abstract: Provided is a system for providing an output for warning of a respiratory disease exacerbation in a subject. The system comprises a first inhaler for delivering a rescue medicament to the subject. The system optionally includes a second inhaler for delivering a maintenance medicament to the subject during a routine inhalation. A sensor system is configured to measure a parameter relating to airflow during the rescue inhalation and/or during the routine inhalation, when the second inhaler is included in the system. The system further comprises a processing module configured to monitor a frequency of the determined rescue inhalations. The processing module also monitors the parameter as a function of time.

Abstract: Provided is a system comprising an inhaler. The inhaler comprises a use determination system. The use determination system is configured to determine at least one first value of a usage parameter relating to use of the inhaler. A processing module is configured to receive the at least one first value. The processing module is also configured to receive a second value indicative of whether the subject is also suffering from a viral respiratory infection. The processing module then determines the level of acute risk based on the at least one first value and the second value. Also provided is a system for determining a probability that a subject having a chronic respiratory disease also has a severe acute respiratory syndrome. The system comprises a first inhaler for delivering a rescue medicament prescribed for the chronic respiratory disease. The first inhaler has a use determination system configured to determine a rescue inhalation performed by the subject using the first inhaler.

Abstract: Provided is a system comprising at least one inhaler. Each of the at least one inhaler comprises a use determination system configured to determine at least one value of a usage parameter relating to use of the respective inhaler by a subject. The system further comprises a user interface and a processing module. The user interface is configured to enable user-inputting of an indication of a status of a respiratory disease being experienced by the subject. The processing module is configured to control the user interface to issue a prompt to input the indication based on the at least one value.

Abstract: Provided is a system (10) for determining a probability of an asthma exacerbation in a subject. The system comprises an inhaler (100) for delivering a rescue medicament to the subject. The inhaler has a use-detection system (12B) configured to determine a rescue inhalation performed by the subject using the first inhaler. A sensor system (12A) is configured to measure a parameter relating to airflow during the rescue inhalation. The system further comprises a processor (14) configured to determine a number of the rescue inhalations during a first time period, and receive the parameter measured for at least some of the rescue inhalations. The processor determines, using a weighted model, the probability of the asthma exacerbation based on the number of rescue inhalations and the parameters. The model is weighted such that the number of rescue inhalations is more significant in the probability determination than the parameters.

Abstract: Provided is a system (10) for determining a probability of an asthma exacerbation in a subject. The system comprises an inhaler (100) for delivering a rescue medicament to the subject. The inhaler has a use-detection system (12B) configured to determine a rescue inhalation performed by the subject using the first inhaler. A sensor system (12A) is configured to measure a parameter relating to airflow during the rescue inhalation. The system further comprises a processor (14) configured to determine a number of the rescue inhalations during a first time period, and receive the parameter measured for at least some of the rescue inhalations. The processor determines, using a weighted model, the probability of the asthma exacerbation based on the number of rescue inhalations and the parameters. The model is weighted such that the number of rescue inhalations is more significant in the probability determination than the parameters.

Abstract: Provided is a system (10) for determining a probability of a CORD exacerbation in a subject. The system comprises a first inhaler (100) for delivering a rescue medicament to the subject. The rescue medicament may be suitable for treating the subject's acute respiratory disease, for example by effecting rapid dilation of the bronchi and bronchioles upon inhalation of the medicament. The first inhaler has a use-detection system (12B) configured to determine a rescue inhalation performed by the subject using the first inhaler. The system optionally includes a second inhaler for delivering a maintenance medicament to the subject during a routine inhalation A sensor system (12A) is configured to measure a parameter relating to airflow during the rescue inhalation and/or during the routine inhalation, when the second inhaler is included in the system.

Abstract: An inhalation monitoring system includes an inhaler having a medicament delivery apparatus configured to deliver medicament to a user during an inhalation of the user; inhalation monitoring apparatus, configured to, during the inhalation, gather data for determining a measure of the user's lung function and/or lung health; and a processor configured to receive the data from the inhalation monitoring apparatus and, using the data, determine a measure of the user's lung function and/or lung health.

Abstract: An inhalation monitoring system includes an inhaler having a medicament delivery apparatus configured to deliver medicament to a user during an inhalation of the user; inhalation monitoring apparatus, configured to, during the inhalation, gather data for determining a measure of the user's lung function and/or lung health; and a processor configured to receive the data from the inhalation monitoring apparatus and, using the data, determine a measure of the user's lung function and/or lung health.

Abstract: Provided is a system comprising an inhaler. The inhaler comprises a use determination system. The use determination system is configured to determine a parameter relating to airflow during a use of the inhaler by a subject. The use determination system also assigns a time to the use. The system also comprises a user interface, and a processing module. The processing module is configured to determine inhalation information from the parameter, and control the user interface to issue a notification that the inhalation information is available. The notification is issued at a notification time. The processing module is configured to implement a deliberate time delay such that the notification time is delayed relative to the time assigned to the use.

Abstract: An inhalation monitoring system includes an inhaler having a medicament delivery apparatus configured to deliver medicament to a user during an inhalation of the user; inhalation monitoring apparatus, configured to, during the inhalation, gather data for determining a measure of the user's lung function and/or lung health; and a processor configured to receive the data from the inhalation monitoring apparatus and, using the data, determine a measure of the user's lung function and/or lung health.

Abstract: Provided is a system for determining a probability of a respiratory disease exacerbation in a subject. The system comprises an inhaler arrangement for delivering a medicament to the subject. The medicament may be a rescue medicament and/or a maintenance medicament. The inhaler arrangement has a use-detection system configured to determine an inhalation performed by the subject using the inhaler arrangement. A sensor system is configured to measure a parameter relating to airflow during the inhalation. A user interface enables user-input of an indication of a status of the respiratory disease being experienced by the subject. A processor is configured to determine the probability of the respiratory disease exacerbation based on the recorded inhalation(s) from the use-detection system, the parameter(s) received from the sensor system, and the indication received from the user interface. Further provided is a method for determining the probability of a respiratory disease exacerbation in a subject.

Abstract: A medicament-free device (e.g., a smartphone device) for simulating a medicament dispenser may include a sensing device and a processor. The sensing device may sense a user action performed upon the medicament-free device and may output sense data. The processor may receive the sense data, compare the sense data with predefined data, and provide feedback based on how the sense data compares to the predefined data. The predefined data may be indicative of a model user action associated with the medicament dispenser.

Abstract: Provided is a system (10) for determining a probability of an asthma exacerbation in a subject. The system comprises an inhaler (100) for delivering a rescue medicament to the subject. The inhaler has a use-detection system (12B) configured to determine a rescue inhalation performed by the subject using the first inhaler. A sensor system (12A) is configured to measure a parameter relating to airflow during the rescue inhalation. The system further comprises a processor (14) configured to determine a number of the rescue inhalations during a first time period, and receive the parameter measured for at least some of the rescue inhalations. The processor determines, using a weighted model, the probability of the asthma exacerbation based on the number of rescue inhalations and the parameters. The model is weighted such that the number of rescue inhalations is more significant in the probability determination than the parameters.

Abstract: An inhalation monitoring system includes an inhaler having a medicament delivery apparatus configured to deliver medicament to a user during an inhalation of the user; inhalation monitoring apparatus, configured to, during the inhalation, gather data for determining a measure of the user's lung function and/or lung health; and a processor configured to receive the data from the inhalation monitoring apparatus and, using the data, determine a measure of the user's lung function and/or lung health.

Abstract: An inhalation monitoring system includes an inhaler having a medicament delivery apparatus configured to deliver medicament to a user during an inhalation of the user; inhalation monitoring apparatus, configured to, during the inhalation, gather data for determining a measure of the user's lung function and/or lung health; and a processor configured to receive the data from the inhalation monitoring apparatus and, using the data, determine a measure of the user's lung function and/or lung health.

Abstract: A medicament-free device (e.g., a smartphone device) for simulating a medicament dispenser may include a sensing device and a processor. The sensing device may sense a user action performed upon the medicament-free device and may output sense data. The processor may receive the sense data, compare the sense data with predefined data, and provide feedback based on how the sense data compares to the predefined data. The predefined data may be indicative of a model user action associated with the medicament dispenser.