Literature DB >> 30116539

Dose modification and dose intensity during treatment with pirfenidone: analysis of pooled data from three multinational phase III trials.

Steven D Nathan1, Lisa H Lancaster2, Carlo Albera3, Marilyn K Glassberg4, Jeffrey J Swigris5, Frank Gilberg6, Klaus-Uwe Kirchgaessler6, Susan L Limb7, Ute Petzinger8, Paul W Noble9.   

Abstract

INTRODUCTION: Temporary dose modifications, such as reductions or interruptions, may allow patients to better manage adverse events (AEs) associated with pirfenidone use and continue treatment for idiopathic pulmonary fibrosis (IPF). However, the impact of such dosing adjustments on efficacy and safety is uncertain.
METHODS: Patients randomised to receive treatment with pirfenidone 2403 mg/day or placebo in the Clinical Studies Assessing Pirfenidone in Idiopathic Pulmonary Fibrosis: Research of Efficacy and Safety Outcomes (CAPACITY (Study 004 (NCT00287716)) and Study 006 (NCT00287729))) and Assessment of Pirfenidone to Confirm Efficacy and Safety in Idiopathic Pulmonary Fibrosis (ASCEND (Study 016 (NCT01366209)) trials were included in the analysis (n=1247). Descriptive statistics and a linear mixed-effects model (slope analysis) for annual rate of decline in forced vital capacity (FVC) by dose intensity were performed. Treatment-emergent AEs (TEAEs) were summarised and grouped by dose intensity or body size.
RESULTS: Dose reductions and interruptions occurred in 76.9% (95% CI 73.4% to 80.1%) and 46.5% (95% CI 42.6% to 50.6%) of patients receiving pirfenidone vs 72.0% (95% CI 68.3% to 75.4%) and 31.1% (95% CI 27.5% to 34.9%) of patients receiving placebo, respectively. Dose interruptions tended to occur during the first 6 months of treatment, whereas dose reductions exhibited more variability. Less FVC decline from baseline was observed in patients receiving pirfenidone versus placebo at >90% dose intensity (p<0.001) or ≤90% dose intensity (p=0.0191), showing treatment benefit in both subgroups of dose intensity. No meaningful relationship between weight and TEAEs was observed.
CONCLUSION: Dose interruptions, which may be required to manage TEAEs, mostly occurred during the first 6 months of treatment. Despite dose reductions and interruptions, most patients with IPF maintained relatively high dose intensity on pirfenidone, without compromising its treatment effect compared with placebo. TRIAL REGISTRATION NUMBERS: NCT00287729, NCT00287716, NCT01366209.

Entities:  

Keywords:  interstitial fibrosis

Year:  2018        PMID: 30116539      PMCID: PMC6089326          DOI: 10.1136/bmjresp-2018-000323

Source DB:  PubMed          Journal:  BMJ Open Respir Res        ISSN: 2052-4439


Does adjusting the dose of pirfenidone, used as a management strategy to control common treatment-emergent adverse events (TEAEs), have a significant impact on its efficacy in the treatment of idiopathic pulmonary fibrosis (IPF)? Dose adjustment occurs early in treatment if required, and efficacy is still evident at a dose intensity of ≤90%; no meaningful relationship with body weight and TEAEs was observed. This post-hoc analysis is the first to examine data on the effects of dose adjustment on efficacy and safety from three phase III trials of pirfenidone in the treatment of IPF; our findings suggest that dose adjustment is an effective management strategy to help maintain persistence and efficacy in patients with IPF.

Introduction

Idiopathic pulmonary fibrosis (IPF) is a debilitating, progressive and fatal fibrosing lung disease of ageing.1 IPF is associated with a poor prognosis, with an estimated median survival of approximately 3 years, when untreated with antifibrotic drugs.2–5 The incidence and prevalence of IPF increase with age and are higher in men, and rates appear to be rising worldwide.6 7 Pirfenidone is an oral antifibrotic agent conditionally recommended for the treatment of IPF in universally accepted treatment guidelines.1 Three pivotal, multinational, randomised, placebo-controlled, phase III trials evaluated pirfenidone in patients with IPF—the Clinical Studies Assessing Pirfenidone in Idiopathic Pulmonary Fibrosis: Research of Efficacy and Safety Outcomes (CAPACITY (Study 004 and Study 006)) and the Assessment of Pirfenidone to Confirm Efficacy and Safety in Idiopathic Pulmonary Fibrosis (ASCEND (Study 016)) trials.8 9 Pooled analyses of data from these three trials demonstrated that treatment with pirfenidone for 1 year slowed the disease progression as measured by changes in forced vital capacity (FVC), an independent predictor of mortality.10 11 Both pooled and meta-analyses of data from these three trials revealed a reduction in risk of mortality with pirfenidone compared with placebo over 120 weeks.12 Continuing treatment with pirfenidone after clinically meaningful progression of the disease may reduce the risk of a subsequent ≥10% absolute decline in FVC or death.13 An integrated safety analysis from five clinical trials demonstrated that pirfenidone was generally well tolerated (median duration of exposure, 1.7 years (range, 1 week–9.9 years)).14 In the phase III trials, nearly all patients experienced at least one treatment-emergent adverse event (TEAE) over 1 year (98.7% and 96.5% in the pirfenidone and placebo groups, respectively).10 Notably, there were fewer serious TEAEs (20.5% vs 22.3% of patients) and fewer treatment-emergent deaths (2.2% vs 5.1% of patients) in the pirfenidone-treated group than in those receiving placebo. More patients in the pirfenidone group compared with the placebo group discontinued treatment prematurely due to TEAEs (11.9% vs 8.7%).10 Gastrointestinal and skin-related events were the most common TEAEs, which tended to occur early during treatment and decreased over time.14 The reduction in the rate of FVC decline reported in patients with IPF treated with pirfenidone is dose dependent and therefore may be affected by dose reductions.9 Parameters, such as body weight, that may be important for adjusting the pirfenidone dose to manage TEAEs but maintain efficacy have not been examined in detail. This post-hoc analysis evaluated the effects of pirfenidone dose reductions and interruptions on the annual rate of FVC decline in the pooled pirfenidone phase III clinical trial population as a function of dose intensity. Dose intensity using a 90% threshold has been evaluated in prespecified subgroup analyses from other antifibrotic IPF clinical trials to assess the impact of dose intensity on efficacy.15 In addition to evaluating change in efficacy following dose modifications as a function of dose intensity, the safety of pirfenidone as a function of body size was also assessed.

Methods

Patients

All patients randomised to receive treatment with pirfenidone 2403 mg/day or placebo in the phase III studies, CAPACITY (Study 004 and 006; NCT00287729 and NCT00287716, respectively) and ASCEND (Study 016; NCT01366209), were included in the analysis. The study designs of CAPACITY and ASCEND have been previously described.8–10 Briefly, in the two CAPACITY studies, patients were treated for up to 72 weeks and followed up until study closure (maximum of 120 weeks); in ASCEND, patients were treated and followed up for 52 weeks. Treatment was administered orally in three equally divided daily doses with food and escalated to the full dose during a 2-week titration period in all three studies.

Dose reductions and interruptions

Dose reductions and interruptions were analysed using descriptive statistics. A dose reduction was defined as any decrease to a lower dose of study treatment than the protocol-defined full maintenance dose (2403 mg/day) after the first 2 weeks of treatment (excluding a zero dose), as reported by the patient. This reduction was temporary if the dose was then increased back to the protocol-defined full maintenance dose. A dose interruption was defined as any reported dosing gap to a zero dose of study treatment after the first 2 weeks of dose titration. Dose reductions or interruptions had no prespecified duration and could be temporary or permanent. For Kaplan-Meier analyses, the time to first dose reduction or interruption for each patient was used. Patients with no dose reductions or interruptions were censored at 12 months post baseline. Dose intensity was calculated from the actual dose taken during the randomised treatment period divided by the planned dose that the patient should have received. The assumption was that patients would receive a stable dose of 2403 mg/day throughout the full period on study drug (minus the 2-week titration period). Different threshold rates were explored (ie, >90% vs ≤90%, >80% vs ≤80%) to identify a cut-off that would allow for a reasonable comparison of groups and to characterise adherence patterns in the trials. Previous analyses of pooled data from IPF clinical trials have evaluated a dose intensity threshold of 90%, suggesting that it was a rational cut-off for these analyses.15 Post-hoc analyses in subgroups of patients randomly assigned to pirfenidone or placebo were conducted. Within each treatment group, patients who interrupted or reduced their dose were analysed separately.

Efficacy

Efficacy (change in FVC from baseline without imputation (modified intention-to-treat analysis)) was compared between patients receiving pirfenidone and those receiving placebo after stratification by dose intensity (>90% vs ≤90% of the protocol-defined dose until individual end of treatment). The same analysis was conducted within treatment groups. Efficacy at month 12, as determined by a decline of ≥10% in % predicted FVC or death, or a decline of ≥50 m in 6 min walk distance (6MWD) or death, was analysed by subgroup of dose intensity (based on actual dose). The categorical analysis compared pirfenidone and placebo within each dose intensity subgroup using a Χ2 test. Linear mixed-effects models were used to analyse the annual rate of decline from baseline in FVC. Separate models were designed using data from patients with dose intensity >90% and those with dose intensity ≤90%. In each model, study (CAPACITY 004, CAPACITY 006 and ASCEND 016), treatment, sex, age and height were fixed effects, whereas patient and assessment time were random effects. The models allowed comparisons of modelled mean differences in annual rate of FVC decline between the pirfenidone and placebo groups.

Safety

Safety outcomes were reported as TEAEs that occurred between baseline and 28 days after the last dose of study drug (up to 12 months). These TEAEs were coded to preferred terms in the Medical Dictionary for Regulatory Activities, V.11.0, descriptively summarised and grouped by dose intensity (based on actual dose) or body size (body mass index (BMI), body surface area (BSA) or weight).

Results

A total of 1247 patients were included in the analyses (n=623, pirfenidone 2403 mg/day; n=624, placebo). The dose intensity thresholds of >90% and ≤90% were selected based on the distribution of dose intensity in the total population; the 90% threshold provided a reasonable sample size for the analyses (online supplementary table 1). Demographics and baseline characteristics across the pooled pirfenidone and placebo populations that received ≤90% or >90% of the target 2403 mg/day dose were generally well balanced (table 1).
Table 1

Baseline demographics and clinical characteristics (based on actual dose), modified intention-to-treat population

Characteristics*PirfenidonePlacebo
Total (n=623)DI≤90% (n=199)DI>90% (n=424)Total (n=624)DI≤90% (n=65)DI>90% (n=559)
Age68.0 (45–80)68.0 (46–80)68.0 (45–80)68.0 (40–80)68 (48–79)68.0 (40–80)
Male, n (%)463 (74.3)131 (65.8)332 (78.3)465 (74.5)45 (69.2)420 (75.1)
White, n (%)592 (95.0)188 (94.5)404 (95.3)590 (94.6)57 (87.7)533 (95.3)
Weight, kg86.5 (40–168)82.0 (40–157)87.7 (44–168)85.7 (40–147)84.4 (54–138)86.0 (40–147)
BMI, kg/m2 29.6 (19–47)29.4 (19–42)29.7 (19–47)29.3 (15–48)29.0 (23–42)29.3 (15–48)
 Men29.5 (19–44)29.6 (19–42)29.4 (20–44)29.3 (20–48)29.3 (23–42)29.3 (20–48)
 Women29.8 (19–47)28.9 (19–42)30.9 (19–47)29.3 (15–44)26.9 (23–39)29.4 (15–44)
FVC, % predicted71.1 (48–124)72.8 (48–120)70.3 (48–124)70.3 (48–136)69.3 (50–112)70.6 (48–136)
6MWD, m400.0 (112–731)391.0 (112–619)405.0 (145–731)413.5 (163–716)398.5 (168–573)416.0 (163–716)

*Values expressed as median (range), unless otherwise stated.

6MWD, 6 min walk distance; BMI, body mass index; DI, dose intensity; FVC, forced vital capacity.

Baseline demographics and clinical characteristics (based on actual dose), modified intention-to-treat population *Values expressed as median (range), unless otherwise stated. 6MWD, 6 min walk distance; BMI, body mass index; DI, dose intensity; FVC, forced vital capacity. The total proportion of women was 25.7% and 25.5% in the pirfenidone and placebo groups, respectively. Women comprised a higher proportion of patients receiving ≤90% dose intensity for either pirfenidone or placebo, at 34.2% and 30.8%, respectively, relative to the total population (25.7% and 25.5%). For patients in the pirfenidone group, the mean and median dose intensity were 88% and 96%, respectively, over 52 weeks. The mean daily actual dose of pirfenidone was 2054.0 mg/day. For the dose intensity subgroups of interest, the mean daily actual dose was 2278.4 mg/day and 1575.9 mg/day for patients with a dose intensity of >90% and ≤90%, respectively. There was little difference between the pirfenidone and placebo groups in the proportion of patients with temporary dose reductions (59.7% vs 60.1%, respectively). In contrast, more patients receiving pirfenidone had permanent (31.5%) dose reductions versus those receiving placebo (20.8%; table 2).
Table 2

Pirfenidone dose reductions and interruptions during 12 months of treatment (based on actual dose)

Pirfenidone (n=623)Placebo (n=624)
Daily dose, mean (SD), mg2054.0 (425.05)
Patients with any dose reduction, n (%)*479 (76.9)449 (72.0)
 Patients with temporary dose reductions, including permanent dose reductions, n (%)372 (59.7)375 (60.1)
 Patients with only temporary dose reductions, excluding permanent dose reductions, n (%)283 (45.4)319 (51.1)
 Patients with permanent dose reductions, including temporary dose reductions, n (%)196 (31.5)130 (20.8)
 Patients with only permanent dose reductions, excluding temporary dose reductions, n (%)107 (17.2)74 (11.9)
 Cumulative days of dose reduction, median (IQR)38.0 (9–103)29.0 (7–95)
Patients with any dose interruption, n (%)†290 (46.5)194 (31.1)
 Patients with temporary dose interruptions, n (%)244 (39.2)145 (23.2)
 Patients with permanent dose interruptions (discontinuation), n (%)‡95 (15.2)79 (12.7)
 Cumulative days of dose interruption, median (IQR)*14.0 (3–29)4.0 (1–13)

*Not including patients who discontinued.

†Dose interruption was defined as the patient receiving a zero dose after having previously received a higher dose.

‡Permanent dose interruption was defined as the patient stopping study treatment prematurely.

IQR, interquartile range; SD, standard deviation.

Pirfenidone dose reductions and interruptions during 12 months of treatment (based on actual dose) *Not including patients who discontinued. †Dose interruption was defined as the patient receiving a zero dose after having previously received a higher dose. ‡Permanent dose interruption was defined as the patient stopping study treatment prematurely. IQR, interquartile range; SD, standard deviation. The median cumulative duration of dose reduction was longer in the pirfenidone group (38.0 (IQR, 9–103) days) than in the placebo group (29.0 (IQR, 7–95) days; table 2). Dose reductions occurred throughout the 12 months of treatment (figure 1). The median time to the first dose reduction was approximately 95 days (figure 2).
Figure 1

Distribution of any dose reductions over time by treatment. Percentages are based on the total number of dose reductions until 12 months within the respective treatment arm. Based on actual dose, modified intention-to-treat population.

Figure 2

Kaplan-Meier analysis for time to first dose reduction in pirfenidone and placebo groups (based on actual dose).

Distribution of any dose reductions over time by treatment. Percentages are based on the total number of dose reductions until 12 months within the respective treatment arm. Based on actual dose, modified intention-to-treat population. Kaplan-Meier analysis for time to first dose reduction in pirfenidone and placebo groups (based on actual dose). The majority of dose interruptions occurred during the first 6 months of treatment (figure 3). In contrast to the time to first dose reduction, however, dose interruptions were more evenly distributed across 12 months (figure 4).
Figure 3

Distribution of any dose interruptions over time by treatment. Percentages are based on the total number of dose interruptions until 12 months within the respective treatment arm. Based on actual dose, modified intention-to-treat population.

Figure 4

Kaplan-Meier analysis for time to first dose interruption in pirfenidone and placebo groups (based on actual dose).

Distribution of any dose interruptions over time by treatment. Percentages are based on the total number of dose interruptions until 12 months within the respective treatment arm. Based on actual dose, modified intention-to-treat population. Kaplan-Meier analysis for time to first dose interruption in pirfenidone and placebo groups (based on actual dose). The dropout rate in both pirfenidone and placebo arms was numerically higher in the ≤90% dose intensity groups (17% vs 20%, respectively) than in the >90% dose intensity groups (8% vs 11.6%). A significantly smaller decrease in the annual rate of FVC decline from baseline was observed in patients treated with pirfenidone compared with those treated with placebo at either >90% dose intensity (p<0.001) or ≤90% dose intensity (p=0.0191; figure 5). Dropout rates among patients combined with non-imputation of longitudinal FVC analysis resulted in small and asymmetric sample sizes.
Figure 5

Modelled mean (SEM) observed forced vital capacity (FVC) volume change from baseline (mL) over time by dose intensity (>90%, ≤90%), based on actual dose (modified intention-to-treat population). No imputation for missing values and deaths. Months 3, 6, 9 and 12 correspond to weeks 12, 24, 36 and 48 for CAPACITY (004 and 006) studies and weeks 13, 26, 39 and 52 for ASCEND (016), respectively. The annual rate of decline was estimated from the linear mixed-effects model comparing pirfenidone with placebo for each of the dose intensity groups (>90%, ≤90%), with change from baseline as the outcome variable. Study (CAPACITY 004 and 006 and ASCEND 016), treatment, sex, age and height were evaluated as fixed effects, and patient and assessment time were evaluated as random effects in an unstructured variance–covariance matrix.

Modelled mean (SEM) observed forced vital capacity (FVC) volume change from baseline (mL) over time by dose intensity (>90%, ≤90%), based on actual dose (modified intention-to-treat population). No imputation for missing values and deaths. Months 3, 6, 9 and 12 correspond to weeks 12, 24, 36 and 48 for CAPACITY (004 and 006) studies and weeks 13, 26, 39 and 52 for ASCEND (016), respectively. The annual rate of decline was estimated from the linear mixed-effects model comparing pirfenidone with placebo for each of the dose intensity groups (>90%, ≤90%), with change from baseline as the outcome variable. Study (CAPACITY 004 and 006 and ASCEND 016), treatment, sex, age and height were evaluated as fixed effects, and patient and assessment time were evaluated as random effects in an unstructured variance–covariance matrix. Among patients at >90% dose intensity, significantly fewer patients in the pirfenidone group experienced a decline of ≥10% in % predicted FVC (with imputation) by month 12 than in the placebo group (11.6% vs 25.6%; p<0.0001; table 3).
Table 3

Analysis of %FVC and 6MWD at month 12 (with imputation by the sum of squared differences) by dose intensity (based on actual dose)

Change from baseline category, n (%)DI>90%Relative difference, %P values*DI≤90%Relative difference, %P values*
Pirfenidone (n=424)Placebo (n=559)Pirfenidone (n=199)Placebo (n=65)
Decline ≥10% in %FVC or death49 (11.6)143 (25.6)−54.8<0.000143 (21.6)21 (32.3)−33.10.0805
Decline ≥50 m in 6MWD or death103 (24.4)184 (33.4)−26.90.002350 (25.6)30 (46.9)−45.30.0014

Relative difference=100 × (% pirfenidone − % placebo)/%placebo.

*For χ2 test, the categories ‘No decline and decline <10% to 0%’ and ‘No decline and decline <50 m to 0 m’, respectively, were combined.

6MWD, 6 min walk distance; %FVC, per cent predicted forced vital capacity; DI, dose intensity.

Analysis of %FVC and 6MWD at month 12 (with imputation by the sum of squared differences) by dose intensity (based on actual dose) Relative difference=100 × (% pirfenidone − % placebo)/%placebo. *For χ2 test, the categories ‘No decline and decline <10% to 0%’ and ‘No decline and decline <50 m to 0 m’, respectively, were combined. 6MWD, 6 min walk distance; %FVC, per cent predicted forced vital capacity; DI, dose intensity. Similar results were observed among patients at ≤90% dose intensity, but the difference between the pirfenidone and placebo groups was not statistically significant (21.6% vs 32.3%; p=0.0805). The relative difference between the pirfenidone and placebo groups at >90% dose intensity was −54.8%, and between the pirfenidone and placebo groups at ≤90% dose intensity was −33.1%, a change in magnitude of approximately 20%. Sample sizes of patients at ≤90% dose intensity or >90% dose intensity were asymmetrical (eg, 65 vs 559 in the placebo group and 199 vs 424 in the pirfenidone group, respectively). Among patients at >90% dose intensity, significantly fewer patients in the pirfenidone group experienced a decline of ≥50 m in 6MWD (with imputation) by month 12 than in the placebo group (24.4% vs 33.4%; p=0.0023); a similar result was observed in patients at ≤90% dose intensity (25.6% vs 46.9%; p=0.0014; table 3). The relative difference between the pirfenidone and placebo groups at >90% dose intensity was −26.9%, and between pirfenidone and placebo groups at ≤90% dose intensity was −45.3%. To determine if body size affected efficacy, FVC decline and dose intensity were stratified according to body size: BMI, BSA and absolute body weight (online supplementary table 2). No consistent patterns were observed. The number of patients with true low body weight was too small and did not allow stratification into body weight groups for analysis. Analyses of adverse events leading to dose modification were performed, but there were no clear differences from the overall TEAE rates (data not shown). The number of patients presenting with the most common TEAEs of interest for pirfenidone (eg, diarrhoea, nausea, photosensitivity, rash and vomiting) was compared between subgroups defined according to ≤90% dose intensity or >90% dose intensity within each treatment arm (table 4).
Table 4

Patients with TEAEs of interest by dose intensity (based on actual dose), modified intention-to-treat population

TEAEs (all-grade, grouped), n (%)Pirfenidone (n=623)Placebo (n=624)
DI≤90% (n=199)DI>90% (n=424)DI≤90% (n=65)DI>90% (n=559)
Any TEAE, n (%)166 (83.4)275 (64.9)37 (56.9)219 (39.2)
 Nausea97 (48.7)128 (30.2)19 (29.2)79 (14.1)
 Rash83 (41.7)140 (33.0)13 (20.0)72 (12.9)
 Diarrhoea49 (24.6)112 (26.4)18 (27.7)109 (19.5)
 Vomiting39 (19.6)45 (10.6)7 (10.8)33 (5.9)
 Photosensitivity21 (10.6)37 (8.7)2 (3.1)5 (0.9)

DI, dose intensity; TEAE, treatment-emergent adverse event.

Patients with TEAEs of interest by dose intensity (based on actual dose), modified intention-to-treat population DI, dose intensity; TEAE, treatment-emergent adverse event. The most frequent TEAE in the pirfenidone group was nausea, which occurred in a higher proportion of patients at ≤90% pirfenidone dose intensity (48.7% of patients (n=199)) than at the >90% dose intensity (30.2% of patients (n=424)). Within the placebo group, nausea was experienced by 29.2% of patients with TEAEs at ≤90% dose intensity and 14.1% of patients at >90% dose intensity. Rash was the second most frequent TEAE in the pirfenidone group (41.7% of patients at ≤90% pirfenidone dose intensity vs 33.0% of patients at >90% dose intensity). To assess whether body size was associated with dose intensity differences in TEAE occurrence, safety data were stratified according to body size: BMI, BSA and weight (online supplementary table 3). There was no clear relationship of key pirfenidone TEAEs of interest with body size. The potential influence of other demographic characteristics, such as age or sex, in combination with body size on TEAEs was not assessed due to the relatively limited size of such subgroups.

Discussion

Pirfenidone is approved for the treatment of IPF and reduces the decline in lung function seen in patients while also improving progression-free survival.9 10 12 Although long-term treatment with pirfenidone is generally well tolerated, dose modification is a recognised management tool used to decrease the occurrence and/or severity of adverse events and to maintain adherence.16 17 The results from this post-hoc analysis support such an approach, with a treatment benefit with pirfenidone over placebo at different dose intensities: the annual rate of decline in FVC and the proportion of patients who experienced a decline of ≥50 m in 6MWD or death at month 12 were lower in the pirfenidone group than in the placebo group at either >90% dose intensity or when the dose was reduced to ≤90% dose intensity. However, we did observe a dose–response relationship for pirfenidone. The relative difference of patients who experienced a decline of ≥10% in % predicted FVC or death who were randomised to receive placebo or pirfenidone was −33.1% in the ≤90% dose intensity group and −54.8% in the >90% dose intensity group, with a greater difference observed in the >90% dose intensity group. Several preclinical and clinical studies have indicated that pirfenidone acts in a dose-dependent manner.18 19 CAPACITY (Study 004) showed that FVC decline in patients receiving pirfenidone 1197 mg/day (≈50% standard dose) was intermediate to pirfenidone 2403 mg/day and placebo at month 12, illustrating a dose-dependent effect; however, this study was not powered to detect any significant differences between the 1197 mg/day dose and placebo.9 Previously published data suggest adverse events may also occur in a dose-dependent manner. Pirfenidone-related adverse events have been associated with postdose, peak plasma concentrations.20 21 A recently published post-hoc analysis from the pirfenidone phase III trials using prescribed doses found that the median time to the first adverse event of interest that led to dose modification was 62.0 days (IQR, 26.0–122.0 days).22 Mason et al 22 also reported that 67.6% of patients with adverse events who required dose reductions reached their initial doses after retitration without discontinuation. Similarly, almost half of the patients in the US Expanded Access Program (NCT02141087) who reached the full daily dose and then had dose modifications or interruptions (and did not discontinue due to an adverse drug reaction) returned to the full dose by the end of the study period.17 Recently published long-term real-world data from the UK suggest the same: many patients on pirfenidone who require dose modifications can remain on drug, either at a reduced dose (16%) or after a temporary dose interruption (9%). An interim analysis from the PASSPORT study (a safety registry study initiated in Europe in 2011) revealed that the rate of discontinuation due to adverse drug reactions was lower in patients who had a dose adjustment compared with those who did not (20% vs 33%).23 Although dose modification is now a recognised management tool to help reduce the risk of treatment discontinuation, limited research has been done on factors determining the extent and period of dose modification that a patient may require. It is also unknown if a minimum dose may be needed to maintain the efficacy of pirfenidone through a modification period; further division into dose subgroups (eg, <80% or <70% dose) was not possible in this analysis due to small sample sizes. A recent report from a retrospective analysis of Japanese patients with IPF suggested that pirfenidone dose adjustment by BSA could be adequate to prevent TEAEs and still achieve effective treatment in that cohort.24 Body size may therefore influence relative drug exposure and act as an indicator of more generalised frailty. However, no clear relationship between body weight, BMI or BSA with TEAEs was identified in this analysis. Therefore, these results do not support presumptive weight-based dosing with pirfenidone for safety and tolerability reasons, although the limited number of patients with low body size restricted the ability to explore potential relationships more fully. Another finding from our study was that a higher proportion of men remained on >90% dose intensity than did women. Whether such a sex imbalance exists in the real world is unknown, and what might explain the findings in this study is uncertain. This post-hoc study has some limitations. Imputed data were used to compare the proportion of patients experiencing a decline of ≥10% in % predicted FVC, or ≥50 m in 6MWD or death, combined with observed data for longitudinal change in FVC. The method for handling missing data has been shown to have a significant influence on the size of FVC change and associated effect sizes in clinical trials with IPF.25 The analytical methodology could therefore have impacted the results presented here. However, the magnitude of the treatment effect using different methodology, in the context of a sensitivity analysis of the ASCEND data, was consistent.25 An added limitation of this study was the lack of information available on actual adherence. In addition, some groups had small and asymmetric numbers of patients. This included too few patients on ≤90% dose intensity, or with true low body weight, to enable a stratification of analyses into subgroups. The population from the pooled pirfenidone phase III clinical trials may not accurately reflect the general population because the trials required patients to fall within a defined range of physiological impairment and patients were followed longitudinally for a limited period of time. In a recent postauthorisation study, older age, female sex and prior steroid use were associated with greater odds of pirfenidone discontinuation due to adverse drug reactions.26 Future studies should therefore focus on specific subgroups of patients to further elucidate which patients may benefit from a dose modification strategy. Dose modifications are increasingly supported as a management strategy to enable continuation of pirfenidone treatment for IPF when TEAEs are present. Despite the limitations presented, with small sample sizes of patients stratified into lower dose subgroups, this study supports this approach, with the finding that the treatment effect of pirfenidone compared with placebo in patients at a dose intensity of <90% is similar to the effect in patients at a dose intensity of ≥90%. The possible dose-dependent effect observed in this study warrants further investigation, and larger meta-analyses of small subgroups of patients for whom dose adjustment may be of particular interest would be useful. We conclude that dose modifications are an appropriate strategy to manage adverse events and to help ensure long-term persistence with pirfenidone treatment.
  21 in total

Review 1.  Global incidence and mortality of idiopathic pulmonary fibrosis: a systematic review.

Authors:  John Hutchinson; Andrew Fogarty; Richard Hubbard; Tricia McKeever
Journal:  Eur Respir J       Date:  2015-05-14       Impact factor: 16.671

Review 2.  Long-term course and prognosis of idiopathic pulmonary fibrosis in the new millennium.

Authors:  Steven D Nathan; Oksana A Shlobin; Nargues Weir; Shahzad Ahmad; Julienne M Kaldjob; Edwinia Battle; Michael J Sheridan; Roland M du Bois
Journal:  Chest       Date:  2011-07       Impact factor: 9.410

3.  Effect of pirfenidone on mortality: pooled analyses and meta-analyses of clinical trials in idiopathic pulmonary fibrosis.

Authors:  Steven D Nathan; Carlo Albera; Williamson Z Bradford; Ulrich Costabel; Ian Glaspole; Marilyn K Glassberg; David R Kardatzke; Monica Daigl; Klaus-Uwe Kirchgaessler; Lisa H Lancaster; David J Lederer; Carlos A Pereira; Jeffrey J Swigris; Dominique Valeyre; Paul W Noble
Journal:  Lancet Respir Med       Date:  2016-11-19       Impact factor: 30.700

Review 4.  Clinical course and prediction of survival in idiopathic pulmonary fibrosis.

Authors:  Brett Ley; Harold R Collard; Talmadge E King
Journal:  Am J Respir Crit Care Med       Date:  2010-10-08       Impact factor: 21.405

5.  Acute Exacerbation and Decline in Forced Vital Capacity Are Associated with Increased Mortality in Idiopathic Pulmonary Fibrosis.

Authors:  Miya O Paterniti; Youwei Bi; Dinko Rekić; Yaning Wang; Banu A Karimi-Shah; Badrul A Chowdhury
Journal:  Ann Am Thorac Soc       Date:  2017-09

Review 6.  Incidence and prevalence of idiopathic pulmonary fibrosis: review of the literature.

Authors:  Luba Nalysnyk; Javier Cid-Ruzafa; Philip Rotella; Dirk Esser
Journal:  Eur Respir Rev       Date:  2012-12-01

7.  A phase 3 trial of pirfenidone in patients with idiopathic pulmonary fibrosis.

Authors:  Talmadge E King; Williamson Z Bradford; Socorro Castro-Bernardini; Elizabeth A Fagan; Ian Glaspole; Marilyn K Glassberg; Eduard Gorina; Peter M Hopkins; David Kardatzke; Lisa Lancaster; David J Lederer; Steven D Nathan; Carlos A Pereira; Steven A Sahn; Robert Sussman; Jeffrey J Swigris; Paul W Noble
Journal:  N Engl J Med       Date:  2014-05-18       Impact factor: 91.245

8.  Effect of continued treatment with pirfenidone following clinically meaningful declines in forced vital capacity: analysis of data from three phase 3 trials in patients with idiopathic pulmonary fibrosis.

Authors:  Steven D Nathan; Carlo Albera; Williamson Z Bradford; Ulrich Costabel; Roland M du Bois; Elizabeth A Fagan; Robert S Fishman; Ian Glaspole; Marilyn K Glassberg; Kenneth F Glasscock; Talmadge E King; Lisa Lancaster; David J Lederer; Zhengning Lin; Carlos A Pereira; Jeffrey J Swigris; Dominique Valeyre; Paul W Noble; Athol U Wells
Journal:  Thorax       Date:  2016-03-11       Impact factor: 9.139

9.  Pirfenidone for idiopathic pulmonary fibrosis: analysis of pooled data from three multinational phase 3 trials.

Authors:  Paul W Noble; Carlo Albera; Williamson Z Bradford; Ulrich Costabel; Roland M du Bois; Elizabeth A Fagan; Robert S Fishman; Ian Glaspole; Marilyn K Glassberg; Lisa Lancaster; David J Lederer; Jonathan A Leff; Steven D Nathan; Carlos A Pereira; Jeffrey J Swigris; Dominique Valeyre; Talmadge E King
Journal:  Eur Respir J       Date:  2015-12-02       Impact factor: 16.671

Review 10.  Pharmacological treatment of idiopathic pulmonary fibrosis - preclinical and clinical studies of pirfenidone, nintedanib, and N-acetylcysteine.

Authors:  Marjukka Myllärniemi; Riitta Kaarteenaho
Journal:  Eur Clin Respir J       Date:  2015-02-10
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  13 in total

1.  A real-world study of the dosing and tolerability of pirfenidone and its effect on survival in idiopathic pulmonary fibrosis.

Authors:  Sahajal Dhooria; Ritesh Agarwal; Inderpaul Singh Sehgal; Kuruswamy Thurai Prasad; Valliappan Muth; Mandeep Garg; Amanjit Bal; Ashutosh Nath Aggarwal; Digambar Behera
Journal:  Sarcoidosis Vasc Diffuse Lung Dis       Date:  2020-06-30       Impact factor: 0.670

Review 2.  Exploring the common pathophysiological links between IPF, SSc-ILD and post-COVID fibrosis.

Authors:  Rajesh Swarnakar; Yogesh Garje; Neeraj Markandeywar; Suyog Mehta
Journal:  Lung India       Date:  2022 May-Jun

Review 3.  Nutrition in Patients with Idiopathic Pulmonary Fibrosis: Critical Issues Analysis and Future Research Directions.

Authors:  Paola Faverio; Marialuisa Bocchino; Antonella Caminati; Alessia Fumagalli; Monica Gasbarra; Paola Iovino; Alessandra Petruzzi; Luca Scalfi; Alfredo Sebastiani; Anna Agnese Stanziola; Alessandro Sanduzzi
Journal:  Nutrients       Date:  2020-04-17       Impact factor: 5.717

4.  Expert consensus on the management of adverse events and prescribing practices associated with the treatment of patients taking pirfenidone for idiopathic pulmonary fibrosis: a Delphi consensus study.

Authors:  Franck F Rahaghi; Zeenat Safdar; Anne Whitney Brown; Joao A de Andrade; Kevin R Flaherty; Robert J Kaner; Christopher S King; Maria L Padilla; Imre Noth; Mary Beth Scholand; Adrian Shifren; Steven D Nathan
Journal:  BMC Pulm Med       Date:  2020-07-14       Impact factor: 3.317

Review 5.  Management of Idiopathic Pulmonary Fibrosis.

Authors:  Roy Pleasants; Robert M Tighe
Journal:  Ann Pharmacother       Date:  2019-07-07       Impact factor: 3.154

Review 6.  Updated Evaluation of the Safety, Efficacy and Tolerability of Pirfenidone in the Treatment of Idiopathic Pulmonary Fibrosis.

Authors:  Swati Gulati; Tracy R Luckhardt
Journal:  Drug Healthc Patient Saf       Date:  2020-05-07

7.  Efficacy of low dose pirfenidone in idiopathic pulmonary fibrosis: real world experience from a tertiary university hospital.

Authors:  Myung Jin Song; Sung Woo Moon; Ji Soo Choi; Sang Hoon Lee; Su Hwan Lee; Kyung Soo Chung; Ji Ye Jung; Young Ae Kang; Moo Suk Park; Young Sam Kim; Joon Chang; Song Yee Kim
Journal:  Sci Rep       Date:  2020-12-04       Impact factor: 4.379

Review 8.  Antifibrotic therapy for idiopathic pulmonary fibrosis: time to treat.

Authors:  Toby M Maher; Mary E Strek
Journal:  Respir Res       Date:  2019-09-06

9.  Longitudinal clinical outcomes in a real-world population of patients with idiopathic pulmonary fibrosis: the PROOF registry.

Authors:  Wim A Wuyts; Caroline Dahlqvist; Hans Slabbynck; Marc Schlesser; Natacha Gusbin; Christophe Compere; Sofie Maddens; Yuan-Chi Lee; Klaus-Uwe Kirchgaessler; Karen Bartley; Benjamin Bondue
Journal:  Respir Res       Date:  2019-10-24

10.  Pirfenidone regulates LPS mediated activation of neutrophils.

Authors:  Shankar J Evani; S L Rajasekhar Karna; Janakiram Seshu; Kai P Leung
Journal:  Sci Rep       Date:  2020-11-17       Impact factor: 4.996

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