Panic Disorder vs PTSD: Differential Diagnosis Case Study | PMHNP Boards

💎 Go beyond the episode — study guides, psychopharm deep dives & practice questions: https://www.patreon.com/PearlsandPrep 🎁 Join as a free member to access 50 Pearls from Pearls & Prep — 50 super high-yield pearls to sharpen your practice. 📚 The 100 Psychiatric Interview Tips For Your 1st Eval E-Book is $39.99 in the shop — or get it FREE as a Boss Pearl member: https://www.patreon.com/c/pearlsandprep/shop ⭐ Enjoying the show? Please rate and review Pearls and Prep on Apple Podcasts or Spotify — it really helps! 🌐 PearlsandPrep.com — scan this episode's Street Takes card, read the deep-dive articles, and unlock the full clinical library: https://pearlsandprep.com ✉️ Questions or a case you want covered? Write to NP Z: [email protected] A patient has panic attacks, avoids driving, and recently witnessed a traumatic accident — PTSD seems obvious, but is it? This DSM-5-TR case study dissects panic disorder versus PTSD, teaching you to distinguish trauma-related avoidance from fear of another panic attack. You will work through the differential diagnosis the way experienced clinicians do, understanding the why behind each criterion. Essential PMHNP boards prep that builds genuine clinical confidence for one of psychiatry's trickiest distinctions. 🎧 Pearls & Prep — new episodes every Tuesday. Hosted by NP Z, Duke-trained Psychiatric Nurse Practitioner. ⚖️ Disclaimer: Pearls and Prep is an educational podcast and is not medical advice. All views expressed are exclusively those of NP Z and do not represent — and are not endorsed by — any other entity or organization. These perspectives are offered solely to build conceptual appreciation of psychiatric topics; they are not a substitute for clinical judgment, current clinical guidelines, or primary references. Always use appropriate resources and your own clinical judgment when making decisions about individual patients. Nothing in this episode creates a clinician–patient relationship. This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacy