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Antifibrotic Treatment in Idiopathic Pulmonary Fibrosis (IPF) and Progressive Pulmonary Fibrosis (PPF): Real-World outcomes from a Single-Center study

Polat Yuluğ, Demet | Televi, Beyza | Unal, Fatma Sevval | Sucu, Damla Hazal | Balci, Yuksel | Nayci, Sibel | Ozge, Cengiz | Ozgur, Eylem Sercan

Abstract Introduction: Antifibrotic therapies are widely used in both idiopathic pulmonary fibrosis (IPF) and progressive pulmonary fibrosis (PPF). We aim to compare the demographic, clinical characteristics, and long-term outcomes of IPF and PPF patients on antifibrotic treatment at 6-month and 1-year follow-ups. Methods and Materials: This was a retrospective single-center cohort study. Between January 2021 and January 2025, patients who initiated antifibrotic therapy were retrospectively included. Pulmonary function tests were recorded before treatment, at baseline, and at 6-month and 1-year follow-up visits. Additionally, baseline 6-minute walk test results and radiological data were also documented. Results: A total of 117 cases were included in the study, consisting of 76 IPF and 41 PPF. IPF patients were statistically significantly older than PPF patients (P < 0.001). The proportion of females was higher in the PPF group (P < 0.001). 52% of the cases used pirfenidone, while 48% used nintedanib. The most common subtype of PPF was connective tissue disease-associated ILD (48.8%), followed by nonspecific interstitial pneumonia (34.1%), and hypersensitivity pneumonitis (17.1%). In the PPF group, basal, 6-month, and 1-year follow-up FVC and DLCO values were statist...

Status of Weighted Agreement Statistics Between Two Raters in Ordinal Data Affected by Sample size and Number of Categories

Erdoğan, Semra | Sucu, Damla Hazal

The aim of this study is to introduce weighted inter-rater agreement statistics used in ordinal scales, compare weighted agreement statistics along with the Spearman correlation coefficient and revealtheir status of being affected by the sample size and number of categories. For this purpose, data for different sample sizes and number of categories were produced for the cases when there is no relationship or when there is low, medium, or high relationship between the two raters, and the aforementioned weighted agreement statistics were calculated. It can be said that Cohen’s kappa, Scott’s π, and Krippendorff’s alpha coefficients provide similar results with the correlation coefficients, and they get values very close to the correlation coefficient value in the B-P agreement statistics. However, it can be said that Gwet’s AC2 statistic, especially for a category number of 3, differs from the correlation coefficient value in cases where there is no/low correlation between the raters, and a moderate level of agreement can be mentioned between the raters, albeit by chance. While investigating the agreement between two raters in ordinal scales, it is recommended to be careful in cases when only the number of categories is three and to use Gwet’s AC2 agreement statistics. I...