Publications by authors named "R M Ostroff"
Blood pressure changes during ketamine infusion for the treatment of depression.
Gen Hosp Psychiatry
September 2024
Objective: This study aimed to examine blood pressure changes during ketamine infusion for depression and exploring the factors associated with these changes.
Method: This study is a retrospective chart-review of patients with depression undergoing ketamine infusion at Yale Psychiatry Hospital during a 7-year period. Blood pressure (BP) was recorded every 10 min during the infusion.
Article Synopsis
- The ELEKT-D trial explored whether intravenous ketamine is as effective as ECT for patients with treatment-resistant depression (TRD), finding that ketamine is noninferior to ECT in this group.
- This secondary analysis aimed to identify which clinical features might predict better outcomes with either ketamine or ECT in treating TRD.
- The study involved 365 participants from five U.S. medical centers, comparing treatment responses based on various baseline factors, such as depression severity and cognitive function, using advanced statistical methods.
Aims: Risk assessment tools are needed for timely identification of patients with heart failure (HF) with reduced ejection fraction (HFrEF) who are at high risk of adverse events. In this study, we aim to derive a small set out of 4210 repeatedly measured proteins, which, along with clinical characteristics and established biomarkers, carry optimal prognostic capacity for adverse events, in patients with HFrEF.
Methods And Results: In 382 patients, we performed repeated blood sampling (median follow-up: 2.
Article Synopsis
- The study investigated heart failure with reduced ejection fraction (HFrEF) by analyzing 4210 circulating proteins to identify distinct subphenotypes and understand their biological mechanisms.
- Researchers followed 382 patients over approximately 2.1 years, using multiple blood samples and advanced proteomic techniques to cluster patients based on their protein markers.
- Four unique subphenotypes were found, each with differing clinical characteristics and prognoses, highlighting the potential for personalized treatment strategies based on protein profiles.