A Study to Test Whether BI 1839100 Improves Cough in People With Idiopathic Pulmonary Fibrosis or Progressive Pulmonary Fibrosis

The raw Cough count (CC) over 24 h was standardised to CC per hour, and then log-transformed (natural log). The analysis was a restricted maximum likelihood (REML) based approach using a mixed model with repeated measurements (MMRM). The analysis included the fixed categorical effects of treatment, background antifibrotic (AF) treatment (Yes, No), and the fixed continuous effects of baseline. Visits were treated as the repeated measure with an unstructured covariance structure used to model the within-participant measurements. Intercurrent events were handled with the treatment policy approach, which uses the value of the endpoint regardless of the occurrence of the intercurrent event. Adjusted estimates for relative change from baseline (reported here) were calculated by 100*(exp(diff)-1) where diff is the difference from baseline in log-transformed values.

The raw Cough count (CC) over 24 h was standardised to CC per hour, and then log-transformed (natural log). The analysis was a restricted maximum likelihood (REML) based approach using a mixed model with repeated measurements (MMRM). The analysis included the fixed categorical effects of treatment, background AF treatment (Yes, No), and the fixed continuous effects of baseline. Visits were treated as the repeated measure with an unstructured covariance structure used to model the within-participant measurements. Intercurrent events were handled with the treatment policy approach, which uses the value of the endpoint regardless of the occurrence of the intercurrent event. Adjusted estimates for relative change from baseline (reported here) were calculated by 100*(exp(diff)-1) where diff is the difference from baseline in log-transformed values.

The Cough Severity NRS is a single-item patient reported outcome measure to assess cough severity on a 11-point numerical rating scale ranging from 0 (no cough) to 10 (worst possible cough) with a recall period of the past 7 days. Higher scores indicate higher severity of cough. The analysis was a REML based approach using a MMRM. The analysis included the fixed categorical effects of treatment, background AF treatment (Yes, No), and the fixed continuous effects of baseline. Visits were treated as the repeated measure with an unstructured covariance structure used to model the within-participant measurements. Intercurrent events were handled with the treatment policy approach, which uses the value of the endpoint regardless of the occurrence of the intercurrent event.

The Cough Severity VAS is a single-item patient reported outcome measure to assess cough severity with a visual analogue scale as response option and a recall period of the past 7 days. It is scored according to the distance between no cough (0) and the mark set by the participant on a line based on to the overall severity of the cough in the previous week, with the maximum being 100. Higher distance indicates higher severity of cough. The analysis was a REML based approach using a MMRM. The analysis included the fixed categorical effects of treatment, background AF treatment (Yes, No), and the fixed continuous effects of baseline. Visits were treated as the repeated measure with an unstructured covariance structure used to model the within-participant measurements. Intercurrent events were handled with the treatment policy approach, which uses the value of the endpoint regardless of the occurrence of the intercurrent event.

The Cough Severity NRS is a single-item patient reported outcome measure to assess cough severity on a 11-point numerical rating scale ranging from 0 (no cough) to 10 (worst possible cough) with a recall period of the past 7 days. Higher scores indicate higher severity of cough. The analysis was a REML based approach using a MMRM. The analysis included the fixed categorical effects of treatment, background AF treatment (Yes, No), and the fixed continuous effects of baseline. Visits were treated as the repeated measure with an unstructured covariance structure used to model the within-participant measurements. Intercurrent events were handled with the treatment policy approach, which uses the value of the endpoint regardless of the occurrence of the intercurrent event.

The Cough Severity VAS is a single-item patient reported outcome measure to assess cough severity with a visual analogue scale as response option and a recall period of the past 7 days. It is scored according to the distance between no cough (0) and the mark set by the participant on a line based on to the overall severity of the cough in the previous week, with the maximum being 100. Higher distance indicates higher severity of cough. The analysis was a REML based approach using a MMRM. The analysis included the fixed categorical effects of treatment, background AF treatment (Yes, No), and the fixed continuous effects of baseline. Visits were treated as the repeated measure with an unstructured covariance structure used to model the within-participant measurements. Intercurrent events were handled with the treatment policy approach, which uses the value of the endpoint regardless of the occurrence of the intercurrent event.

The proportions of participants achieving a ≥30% 24-h cough frequency reduction (CC/h) at Week 12 is summarized. The % was calculated as: (number of participants with positive response)/(number of participants in group)*100. Confidence intervals were based on the Wilson method. Intercurrent events are handled with the treatment policy approach, which uses the value of the endpoint regardless of the occurrence of the intercurrent event.

FVC was assessed using standardised spirometry equipment. The analysis was a REML based approach using a MMRM. The analysis included the fixed categorical effects of treatment, background AF treatment (Yes, No), and the fixed continuous effects of baseline. Visits were treated as the repeated measure with an unstructured covariance structure used to model the within-participant measurements. Intercurrent events were handled with the treatment policy approach, which uses the value of the endpoint regardless of the occurrence of the intercurrent event.

The LCQ is a 19-item patient reported outcome measure that assesses the impact of cough on various aspects of Quality of life (QoL). It is divided into 3 domains (physical, social and psychological), each scored with a 7-point Likert response scale (1 to 7). The total score is calculated using the sum of the means of each subdomain, and ranges from 3 to 21. A higher score indicates better cough specific QoL. The analysis was a REML based approach using a MMRM. The analysis included the fixed categorical effects of treatment, background AF treatment (Yes, No), and the fixed continuous effects of baseline. Visits were treated as the repeated measure with an unstructured covariance structure used to model the within-participant measurements. Intercurrent events were handled with the treatment policy approach, which uses the value of the endpoint regardless of the occurrence of the intercurrent event.

The Symptom module domain of the L-PF questionnaire assesses 3 domains: dyspnea (items 1-12), cough (items 13-18), and fatigue (items 19-23) in the past 24 h. The module has a 5-point Likert scale (numeric rating scale) with varying response options. The Symptoms domain scores (dyspnoea, cough, and fatigue) are generated as a summary score, the mean of the dimension ratings multiplied by 100. The scores range from 0 to 100, with higher scores indicating a greater impairment. The analysis was a REML based approach using a MMRM. The analysis included the fixed categorical effects of treatment, background AF treatment (Yes, No), and the fixed continuous effects of baseline. Visits were treated as the repeated measure with an unstructured covariance structure used to model the within-participant measurements. Intercurrent events were handled with the treatment policy approach, which uses the value of the endpoint regardless of the occurrence of the intercurrent event.