Logistic regression model with the interaction term between sex and multimorbidity patterns was conducted to estimate sex differences in PIM prescribing. Model was adjusted for: number of medications used ≥90 days, number of all-cause ED visits, number of all-cause hospitalizations, number of physician visits and count of chronic disease, age, years of education, race/ethnicity, marital status, region, body mass index, current smoking status, and current alcohol use. Statistically significant at p = 0.05