Predicting non-response to ketamine for depression: a symptom-level analysis of real-world data
medRxiv Preprint Server – July 03, 2023
Source: medRxiv
Summary
Understanding specific depression symptoms can predict ketamine's effectiveness. Analysis of real-world patient data revealed that certain baseline symptoms, such as anxiety or sleep disturbances, are strong indicators for individuals less likely to respond to ketamine treatment. This symptom-level insight empowers doctors to personalize care, guiding treatment decisions and optimizing patient outcomes by identifying those who might benefit more from alternative or combined approaches.
Abstract
Background Ketamine helps some patients with treatment resistant depression (TRD), but reliable methods for predicting which patients will, or will not, respond to treatment are lacking.