Trial Outcomes & Findings for A Study Based on Medical Records That Looks at the Characteristics of Idiopathic Pulmonary Fibrosis Patients Grouped by the Type of Medication They Are Taking (NCT NCT03958071)

This retrospective database study was conducted to understand differences in characteristics of Idiopathic pulmonary fibrosis (IPF) patients who were newly prescribed pirfenidone or nintedanib, and those who did not receive a prescription for an antifibrotic treatment.

The study includes all patients with an Idiopathic pulmonary fibrosis (IPF) diagnosis from Oct 1, 2013 to Oct 31, 2018. Data derived from IQVIA's GE Centricity EMR (Electronic medical records) data.

A Study Based on Medical Records That Looks at the Characteristics of Idiopathic Pulmonary Fibrosis Patients Grouped by the Type of Medication They Are Taking

IQVIA's GE Centricity Electronic medical records database was used for this study. This is an anonymized Health Insurance Portability and Accountability Act of 1996 (HIPPA) compliant database populated with patient data from ambulatory care records. The patient characteristic age for Idiopathic Pulmonary Fibrosis (IPF) patients at 12-month pre-treatment (baseline) was compared between each of the cohorts (nintedanib vs. pirfenidone, nintedanib vs. untreated, pirfenidone vs. untreated), differences are presented in absolute standardized differences (ASD), differences were tested using t-test for means of continuous variables, Wilcoxon signed tank test for medians of continuous variables, and Chi-square test for categorical variables.

IQVIA's GE Centricity Electronic medical records database was used for this study. This is an anonymized Health Insurance Portability and Accountability Act of 1996 (HIPPA) compliant database populated with patient data from ambulatory care records. The patient characteristic sex for Idiopathic Pulmonary Fibrosis (IPF) patients at 12-month pre-treatment (baseline) was compared between each of the cohorts (nintedanib vs. pirfenidone, nintedanib vs. untreated, pirfenidone vs. untreated), differences are presented in absolute standardized differences (ASD), differences were tested using t-test for means of continuous variables, Wilcoxon signed tank test for medians of continuous variables, and Chi-square test for categorical variables.

The patient characteristic Body mass index (BMI) for Idiopathic Pulmonary Fibrosis (IPF) patients at 12-month pre-treatment (baseline) was compared between each of the cohorts (nintedanib vs. pirfenidone, nintedanib vs. untreated, pirfenidone vs. untreated), differences are presented in absolute standardized differences (ASD), differences were tested using t-test for means of continuous variables, Wilcoxon signed tank test for medians of continuous variables, and Chi-square test for categorical variables.

IQVIA's GE Centricity Electronic medical records database was used for this study. This is an anonymized HIPPA compliant database populated with patient data from ambulatory care records. Charlson Comorbidity Index (CCI) for Idiopathic Pulmonary Fibrosis (IPF) patients at 12-month pre-treatment (baseline) was compared between each of the cohorts. The Charlson Comorbidity Index is a method of categorizing comorbidities of patients based on the International Classification of Diseases (ICD) diagnosis. Each comorbidity category has an associated weight (from 1 to 6), based on the adjusted risk of mortality or resource use, and the sum of all the weights results in a single comorbidity score for a patient. A score of zero indicates that no comorbidities were found. The higher the score, the more likely the predicted outcome will result in mortality or higher resource use. Up to 12 comorbidities with various weightings can result in a maximum score of 24. The minimum score is zero.

IQVIA's GE Centricity Electronic medical records database was used for this study. This is an anonymized Health Insurance Portability and Accountability Act of 1996 (HIPPA) compliant database populated with patient data from ambulatory care records. Treatment with inhaled corticosteroids for Idiopathic Pulmonary Fibrosis (IPF) patients at 12-month pre-treatment (baseline) was compared between each of the cohorts (nintedanib vs. pirfenidone, nintedanib vs. untreated, pirfenidone vs. untreated), differences are presented in absolute standardized differences (ASD), differences were tested using t-test for means of continuous variables, Wilcoxon signed tank test for medians of continuous variables, and Chi-square test for categorical variables.

IQVIA's GE Centricity Electronic medical records database was used for this study. This is an anonymized Health Insurance Portability and Accountability Act of 1996 (HIPPA) compliant database populated with patient data from ambulatory care records. Treatment with Proton pump inhibitors for Idiopathic Pulmonary Fibrosis (IPF) patients at 12-month pre-treatment (baseline) was compared between each of the cohorts (nintedanib vs. pirfenidone, nintedanib vs. untreated, pirfenidone vs. untreated), differences are presented in absolute standardized differences (ASD), differences were tested using t-test for means of continuous variables, Wilcoxon signed tank test for medians of continuous variables, and Chi-square test for categorical variables.

Odds ratio of receiving nintedanib or pirfenidone vs. no antifibrotic treatment, adjusting for patient characteristics; to identify baseline characteristics that drive initiation of a treatment while minimizing prescription bias. Logistic regression models were developed to assess the odds. Baseline patient characteristics that were sufficiently populated, had ASD \>10% or p-value \<0.05, and were agreed upon as important variables to include, were included as covariates for a full model. Linearity of age was confirmed before including it as a continuous variable in one version of the model. Backward selection was applied to develop a reduced model, only retaining covariates with p\<0.1 after forcing age at index, gender, geographic region, BMI, CCI, and Chronic obstructive pulmonary disease (COPD) into the model. Odds presented for key patient characteristics. Odd ratio of \>1 indicates increased odds of receiving treatment.