This study, presented by White et. al, looked at the demographic and clinical characteristics of patients with borderline personality disorder (BPD). BPD is a psychiatric disorder that is characterized by a pervasive pattern of emotion dysregulation and instability in identity. For this observational study, de-identified data from MindLinc electronic health records of patients 12 years and older who had been diagnosed with BPD were used. Natural Language Processing (NLP) was used to derive BPD symptoms from unstructured clinician-documented mental state examination (MSE) data. The results found that the most common comorbid disorders were major depressive disorder (45.7%), substance use disorder (34.6%), and post-traumatic stress disorder (29.2%). Patients in this sample were commonly prescribed psychiatric medication (67.7%), and approximately half (46.5%) of patients had been psychiatrically hospitalized in the past year. The study also found that emotional dysregulation (35.8%) and suicidal intent/ideation (31.3%) were the most frequent NLP-derived BPD symptoms, and the relative frequencies of these differed by age. These findings contribute to improving understandings of clinical characteristics associated with BPD.