Rapid reduction of suicidal thoughts is critical for treating suicidal patients. Clinical trials evaluating these treatments require appropriate measurement. Key methodological issues include: 1) the use of single or multi-item assessments, and 2) evaluating whether suicidal ideation measures can track rapid change over time. The current study presents data from two randomized, placebo-controlled, crossover clinical trials evaluating ketamine in individuals with treatment-resistant depression (n = 60). Participants were assessed for suicidal thoughts using the Hamilton Depression Rating Scale (HAM-D), Montgomery-Asberg Depression Rating Scale (MADRS), Beck Depression Inventory (BDI), and Scale for Suicidal Ideation (SSI) at eight time points over three days. Assessments were compared using correlational analyses and effect sizes at 230 min and three days after ketamine infusion. Linear mixed models evaluated change in ideation across all time points. The HAM-D and MADRS suicide items demonstrated correlations of r > .80 with the first five items of the SSI (SSI5). On linear mixed models, an effect for ketamine was found for the HAM-D, MADRS, BDI items, and SSI5 (p < .001), but not for the full SSI (p = .88), which suggests a limited ability to assess change over time in patients with low levels of suicidal thoughts. Taken together, the results suggest that repeated suicidal assessments over minutes to days appear to detect improvement in suicidal thoughts after ketamine infusion compared to placebo. The MADRS suicide item, BDI suicide item, and SSI5 may be particularly sensitive to rapid changes in suicidal thoughts.
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 April 2022.
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Altmetric has tracked 27,412,402 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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