Diagnostic accuracy of DSM-5 borderline personality disorder criteria: Toward an optimized criteria set

Objective: The polythetic system used by the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) for diagnosing borderline personality disorders (BPD) is far from optimal; however, accumulated research and clinical data are strong enough to warrant ongoing utilization. This study examined diagnostic efficiency of the nine DSM-IV BPD criteria, then explored the feasibility of an optimized criteria set in classifying BPD. Methods: Adults (N=1,623) completed the Structured Clinical Interviews for DSM-IV Axis II Disorders resulting in a BPD group (n=352) and an inpatient psychiatric control group (PC) with no personality disorders (n=1,271). Receiver operator characteristics and diagnostic efficiency statistics were calculated to ascertain the relative diagnostic efficiency of each DSM-5 BPD criterion in classifying BPD cases. Results: Affective instability (Criterion 6) evidenced the strongest capacity to differentiate the groups (AUC = .84, SE = .01, p < .0001). Abandonment fears (Criterion 1), unstable relationships (Criterion 2), identity disturbance (Criterion 3), impulsivity (Criterion 4), and chronic emptiness (Criterion 7) yielded good-to-moderate discrimination (AUC range = .75-.79). A composite index of these six criteria yielded excellent accuracy (AUC = .98, SE = .002, p < .0001), sensitivity (SN = .99), and specificity (SP = .90). Conclusions: The current findings add to evidence that affective instability is a useful gate criterion for screening, and the optimized criteria set evidences equivalent accuracy to the original 9 criteria, with a substantial reduction in estimated heterogeneity (from 256 combinations with the original set to 42 combinations with the optimized set).

Automated summary

The study found that the diagnostic efficiency of borderline personality disorder is equivalent between the optimized criteria set and the original 9 criteria, with a substantial reduction in estimated heterogeneity.