The Identification of Quality Risk Factors for Non-biological Complex Drugs and Epilepsy Drugs Using Statistical Analysis of Formulation-Based Recalls in the USA.

Abstract

Pharmaceutical companies use the quality by design (QbD) approach to build high-quality drug products. A thorough understanding of risk factors is required to successfully employ QbD. In order to better understand risk factors that potentially impact drug product quality and inform future QbD approaches, we hypothesized root causes of drug product recalls based on publicly available data and a retroactive analysis of drug products recalled by the United States Food and Drug Administration (USFDA) from 2012 to 2018. We focused on two categories of drug products that pose unique regulatory challenges and an increased risk of shortage that could hinder the adequate supply of quality medicine to the patient. Knowing the significant risk factors from previous drug product recalls can help inform QbD and avoid future recalls. Quality recall reasons were studied individually to find risk factors associated with each recall category. Logistical regression statistical tests were done in R using a significance level of 0.05 to find correlations between a recalled product and its manufacturing information such as excipients and manufacturing steps. The results showed significant positive and negative correlations, such as products containing magnesium stearate are more likely to be recalled for impurities and degradation. This information could be used in the future to inform the design and manufacturing of drug products, ensuring consumers receive high-quality products with a low risk of recall.