To the Editor:
Pirfenidone and nintedanib, antifibrotic medications approved for the treatment of patients with mild to moderate idiopathic pulmonary fibrosis (IPF), have been shown to slow the decline in lung function and are recommended by international treatment guidelines (1).
Meta-analyses of randomized trials of this treatment have investigated their effects on reducing mortality in patients with IPF, with rather divergent conclusions (2–6). Indeed, whereas a meta-analysis concluded that neither pirfenidone nor nintedanib is associated with lower mortality (2), others found reduced mortality only with nintedanib but not pirfenidone (3), or vice-versa (6). Meta-analyses conducted specifically among trials for only one of the antifibrotic drugs concluded a mortality benefit (4, 5).
On the other hand, observational studies have consistently reported remarkable reductions in mortality with antifibrotic medications (7). Such remarkable effects from observational studies are often the result of time-related biases, such as immortal time bias that tends to considerably exaggerate the benefit of drugs, including those used to treat respiratory diseases (8).
Given these inconsistencies, we reviewed the observational studies examining the effect of antifibrotics on mortality in IPF, focusing on time-related biases that could explain these discrepancies.
The Observational Studies
We searched the literature using MEDLINE and Embase for all observational studies of any antifibrotic reporting on mortality in patients with IPF (until January 24, 2022) and identified 14 studies reporting relative risks of death associated with antifibrotic use (9–22). The pooled relative risk of all-cause mortality with antifibrotic use was 0.62 (95% confidence interval [CI], 0.56–0.69) compared with nonuse (Figure 1). We found that all 14 studies used definitions of exposure and follow-up that lead to immortal time bias.
Immortal time refers to a period of cohort follow-up during which the outcome under study cannot occur, usually because it involves the time from cohort entry to the start of the treatment under study (23). In essence, the patient necessarily must be alive at the time they initiate treatment and thus “immortal” during this period. Misclassifying or excluding this immortal time period in the design or analysis of an observational study when defining exposure will introduce immortal time bias (24).
For immortal time bias from misclassification, the immortal period is misclassified as exposed rather than unexposed (24). This bias is introduced in a cohort study by classifying patients as exposed to the antifibrotic treatment from the day of cohort entry, even if they only started their treatment later during follow-up. This bias is intensified if the definition of exposure also includes a minimum duration of antifibrotic use, which will increase the length of the immortal time, thus also augmenting the magnitude of the bias.
For immortal time bias by exclusion, the immortal period is differentially excluded from the treated and untreated groups (24). This occurs when the start of follow-up is defined as the initiation of treatment for the exposed group and the date of diagnosis or entry into the registry for the nonusers. Consequently, the immortal period from the date of diagnosis (or of registry entry) to the initiation of treatment is differentially excluded from the analysis in one group, which leads to a spurious protective effect.
Studies with Immortal Time Bias from Misclassification
Immortal time bias resulting from misclassification of the follow-up period from cohort entry to the initiation of antifibrotic treatment as “exposed” was noted in nine studies (9, 11, 13, 15, 16, 18, 20–22). The nine studies affected by this form of immortal time bias had a pooled relative risk of all-cause mortality with antifibrotic use of 0.55 (95% CI, 0.47–0.63) (Figure 1).
An example of immortal time misclassification is the study using the AIPFR (Australian IPF Registry), a national registry of 647 patients with IPF launched in 2012 (9). For the statistical analysis of mortality, a time to event approach was used, defined as the “time from AIPFR baseline until either death or censoring at last date the patient was known to be alive”. Immortal time bias was introduced in this study by considering the patients as exposed to antifibrotics from the day of AIPFR enrollment, even if they only filled their first prescription afterward, so that the time between cohort entry and the first antifibrotic treatment during follow-up is immortal, as the patient must survive to receive this treatment. Figure 2A depicts this bias by comparing the survival times between two typical cohort patients in which the antifibrotics “users” will necessarily have longer survival, artificially created by this added immortal time. This bias is intensified if exposure is also defined by a minimum duration of antifibrotic use (Figure 2B), which will increase the length of the immortal time. Such immortal time bias from exposure misclassification, with or without an imposed minimum duration of treatment, will result in a biased and exaggerated “protective” effect of antifibrotics exposure.
Studies with Immortal Time Bias from Exclusion
Immortal time bias resulting from the exclusion of the time period from cohort entry to the initiation of antifibrotic treatment was noted in five studies (10, 12, 14, 17, 19). The five studies affected by this form of immortal time bias had a pooled relative risk of all-cause mortality with antifibrotic use of 0.68 (95% CI, 0.61–0.77) (Figure 1).
This form of immortal time bias, depicted in Figure 2C, was previously noted in the analysis of the Investigating Significant Health Trends in Idiopathic Pulmonary Fibrosis (INSIGHTS-IPF) registry of patients with IPF (12, 25). It reported a significantly lower risk of death (hazard ratio, 0.63; 95% CI, 0.45–0.87) in antifibrotic users compared with nonusers. The INSIGHTS-IPF cohort included 588 patients with IPF, of which 298 received an antifibrotic treatment at some time. Follow-up for mortality started at the treatment initiation for the antifibrotic users and at the registry enrollment date for the nonusers, so the time span between their registry enrollment and treatment initiation dates for the antifibrotic users was excluded from the analysis. This time span is immortal and should be included in the nonuser group up until the time “users” start their antifibrotic treatment; else, its omission introduces immortal time bias (24).
Conclusions
Observational studies are now widely used to evaluate the real-world effectiveness of drugs, especially to study major outcomes, such as mortality, which are rarely available in randomized controlled trials (26). We examined methodological aspects of 14 observational studies reporting a remarkable pooled 40% reduction in all-cause mortality with antifibrotics in the treatment of IPF. We showed that all were affected by immortal time bias, which systematically exaggerates the benefits of drugs.
Immortal time bias has been previously shown to affect many observational studies in the context of respiratory diseases (8), including those suggesting an important benefit of proton pump inhibitors on mortality in treating IPF (27). Observational studies that properly avoided this bias found no or little effect of these drugs on the major outcomes studied (28).
Although observational studies are important to assess the real-world effects of medications on major outcomes, proper design and analysis are essential to minimize bias. The observational studies reporting significantly decreased mortality with antifibrotic use cannot at this time be used as reliable evidence because all were affected by immortal time bias. Indeed, studies with such “critical risk of bias” are too problematic to provide useful evidence and should be excluded from any synthesis (29).
However, immortal time bias, which tends to greatly exaggerate the benefit of drugs, is correctable with proper study design or data analysis. For example, immortal time bias can be avoided by using a time-dependent definition of exposure, such as with the Cox proportional hazards model with time-dependent exposure that allows a patient to move from a period of nonexposure to a period of exposure during the follow-up period (24). One could also use study design approaches such as the prevalent new-user design, which would match antifibrotic initiators with nonusers at the same time point in the disease course, thus avoiding immortal time bias (28, 30). The authors of these 14 publications are urged to repeat the analysis of their studies using such revised approaches that avoid immortal time bias.
Footnotes
Author Contributions: S.S. and K.S. contributed to the conception, analysis, and writing of the manuscript.
Originally Published in Press as DOI: 10.1164/rccm.202207-1301LE on August 11, 2022
Author disclosures are available with the text of this letter at www.atsjournals.org.
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