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Experience with vortioxetine in the treatment of post-stroke depression

2020· article· en· W3008734186 on OpenAlexaboutno aff
I. A. Strelnikova, А А Светкина, Yu. D. Minina, O V Androfagina

Bibliographic record

VenueNeurology neuropsychiatry Psychosomatics · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentDepression (economics)PsychologyMontgomery–Åsberg Depression Rating ScaleRating scaleAntidepressantStroke (engine)AnxietyNeuropsychologyCognitionPsychiatryMedicineDepressive symptomsCognitive impairment

Abstract

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Post-stroke depression significantly impairs functional recovery in patients and their quality of life. Objective : to evaluate the efficacy of vortioxetine in correcting depressive symptoms in the early recovery period of ischemic stroke, as well as its effect on the cognitive functions of patients. Patients and methods. The investigation enrolled 60 patients with ischemic stroke in the carotid bed with symptoms of mild and moderate depression according to the Montgomery-Asberg Depression Rating Scale (MADRS). Group 1 (a study group) included 30 patients who received vortioxetine 10 mg/day for 8 weeks; Group 2 (a comparison group) consisted of 30 patients who refused to take an antidepressant. The investigators evaluated the severity of focal neurological deficit using the US National Institutes of Health Stroke Scale (NIHSS), the degree of functional deficit with the modified Rankin Scale (mRS) and the Functional Independence Measure (FIM). The diagnosis of poststroke depression was established according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria; the authors analyzed the severity of depression using the Hospital Anxiety and Depression Scale (HADS) and MADRS and cognitive functions with the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). For evaluation of higher mental dysfunctions, they used a set of neuropsychological techniques developed by A.R. Luria and his followers, by applying the classic stimulus materials. Results and discussion. At 8-week follow-up, in Group 1 there were no patients with symptoms of moderate depression, only 14 (46.7%) patients had symptoms of mild depression, and the remaining 16 (53.3%) patients did not have emotional disturbances. At the same time, in Group 2, 14 (46.7%) patients were observed to have signs of moderate depressive disorder and 15 (50%) had symptoms of mild depression; 1 (0.3%) patient had symptoms of major depressive disorder. During treatment with vortioxetine, there was a considerable decrease in the severity of depressive symptoms according to the total MADRS score (U=87.0; p<0.0001) and a better functional recovery after a stroke, as shown by FIM (U=296.0, p= 0.023) and NIHSS scores (p<0.05). Analyzing the MoCA subtest scores revealed that Group 1 patients statistically significantly better coped with attention tasks (U=237.0; p<0.001). Conclusion. Vortioxetine significantly reduces the severity of depressive symptoms, has an obvious positive effect on the cognitive status of patients, by improving neurodynamic functions and memory in patients in the early recovery period of ischemic stroke.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.269
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations5
Published2020
Admission routes1
Has abstractyes

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