Norton (Waterford) Limited

Norton Gmbh

Guilherme Safioti

Mark Milton-Edwards

Lena Granovsky

Michael Reich

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.

Inhaler system

Provided is a system () for determining a probability of an asthma exacerbation in a subject. The system comprises an inhaler () for delivering a rescue medicament to the subject. The inhaler has a use-detection system (B) configured to determine a rescue inhalation performed by the subject using the first inhaler. A sensor system (A) is configured to measure a parameter relating to airflow during the rescue inhalation. The system further comprises a processor () 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.

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Helsingborg, Sweden

Guilherme Safioti