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Biomedical subjects

Christophe Demattei

Publications and source records attributed to Christophe Demattei.

3 recordsLinked to original sources

Intravenous Ketamine reduces psychological pain in suicidal inpatients: A secondary analysis of a six-week randomized placebo-controlled trial.

BACKGROUND: Psychological pain has been conceptualized as an unbearable inner experience and a possible precondition for suicidal ideation. No randomized placebo-controlled study has specifically investigated psychological pain as a treatment target in psychiatric populations. We examined ketamine's effect on psychological pain in suicidal psychiatric inpatients. METHODS: This secondary analysis used KETIS, a 6-week randomized, double-blind, placebo-controlled trial. Participants received two 40-minute intravenous infusions of ketamine (0.5&#xa0;mg/kg) or placebo (0.9% saline) 24&#xa0;h apart, alongside usual care and medication. Psychological and physical pain were assessed at baseline, repeatedly during 96&#xa0;h, and at weeks 2, 4, and 6 using the self-rated PPP-VAS. Longitudinal mixed models compared pain trajectories. RESULTS: The trial randomized suicidal inpatients to ketamine (n&#xa0;=&#xa0;73) or placebo (n&#xa0;=&#xa0;83). Psychological pain decreased in both groups but was lower with ketamine during the first 96&#xa0;h. Pointwise scores were lower with ketamine from 40&#xa0;min to 96&#xa0;h, largest at 40&#xa0;min, 2&#xa0;h, 4&#xa0;h, and 24&#xa0;h (all p&#xa0;<&#xa0;0.001), but not at weeks 2, 4, or 6. This early difference remained significant after adjustment for depressive symptoms and hopelessness. The early reduction appeared more pronounced in the bipolar subgroup. No robust baseline predictors of outcome were identified. CONCLUSIONS: Intravenous ketamine was associated with a greater reduction in psychological pain than placebo in suicidal inpatients, with the clearest effects emerging within the first hours after treatment and remaining evident through the first 96&#xa0;h. Ketamine may represent a clinically relevant option as a psychological pain reliever in psychiatric patients.

Humans↗

Validation of the Retardation Rating Scale for detecting depression in geriatric inpatients.

OBJECTIVES: Validation in the elderly of the Retardation Rating Scale (RRS), which includes items related to motor and mental retardation but not vegetative items, and may be particularly well-suited for the diagnosis of depression in the elderly. METHODS: One hundred and sixty-five geriatric inpatients (105 depressed), aged 65 and over, without dementia, neuroleptic medication and increased risk of slowed mobility, were assessed with the RRS and three validated 'gold-standard' scales for geriatric depression (Hamilton Depression Rating Scale, Montgomery and Asberg Depression Rating Scale, Geriatric Depression Scale). Factor analysis used varimax rotation, Cronbach's, Spearman's and Ferguson's coefficients and the Mann-Whitney U-test to evaluate construct and internal consistency. Convergent validity and Receiver Operating Characteristics curves were also analyzed. RESULTS: Factor analysis retained three interpretable domains: (1) motor items (45% of the variance); (2) mental items and (3) the cognitive items. Internal consistency was high (alpha = 0.91). Each item was strongly correlated with the total RRS score and associated with depression. The RRS showed good convergent validity and its total score increased with depression severity. A cut-off score of 10 yielded 79% sensitivity and 80% specificity, with 80% of the patients properly classified, that is 15% more than standard observer scales. CONCLUSION: RRS is a valid screening tool for depression and improves recognition of depression in geriatric inpatients.

Aged↗

SPATCLUS: an R package for arbitrarily shaped multiple spatial cluster detection for case event data.

This paper describes an R package, named SPATCLUS that implements a method recently proposed for spatial cluster detection of case event data. This method is based on a data transformation. This transformation is achieved by the definition of a trajectory, which allows to attribute to each point a selection order and the distance to its nearest neighbour. The nearest point is searched among the points which have not yet been selected in the trajectory. Due to the trajectory effects, the distance is weighted by the expected distance under the uniform distribution hypothesis. Potential clusters are located by using multiple structural change models and a dynamic programming algorithm. The double maximum test allows to select the best model. The significativity of potential clusters is determined by Monte Carlo simulations. This method makes it possible the detection of multiple clusters of any shape.

Algorithms↗