Assessment of clinical manifestations and treatment of post-stroke depression in young patients with ischemic stroke

Чухловина, М Л; Chukhlovin, A. A.

doi:10.17116/jnevro20181183152-55

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…The incidence of PSD varies from 18% to 79% 14 and is attributed to the lack of attention to PSD onset during hospitalization, untimely follow-up after discharge, and different diagnostic criteria of PSD. In this study, 1 H-MRS technology was used to detect the metabolic indexes of emotion-related brain areas.…”

Section: Discussionmentioning

confidence: 99%

<p>Construction of a Risk Model Associated with Prognosis of Post-Stroke Depression Based on Magnetic Resonance Spectroscopy</p>

Qiao

Sui

Zhang

et al. 2020

NDT

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Point your SmartPhone at the code above. If you have a QR code reader the video abstract will appear. Or use: https://youtu.be/Agr--fqfHYoPurpose: This study aimed to develop a risk prediction model for post-stroke depression (PSD) based on magnetic resonance (MR) spectroscopy.Patients and Methods: Data of 61 patients hospitalized with stroke (November 2017-March 2019) were retrospectively analyzed. After 61 patients had been admitted to hospital for routine clinical information collection, when the patients were in stable condition, proton MR spectroscopy ( 1 H-MRS) examinations were performed to measure the ratio of choline to creatine (Cho/Cr) and N-acetylaspartate to creatine (NAA/Cr) in brain regions related to emotion. From the second month to the sixth month after the onset, these 61 patients were assessed by the Hamilton Depression Scale once a month. Based on the scores, patients were divided into PSD and post-stroke non-depression (N-PSD) groups. Twenty-two characteristics were extracted from clinical data and the 1 H-MRS imaging indexes. The least absolute shrinkage and selection operator (LASSO) regression was used for optimal feature selection and the nomogram prediction model was established. The model's predictive ability was validated by a calibration plot and the area under the curve (AUC) of the receiver operating characteristic curve.Results: Two demographic characteristics (activities of daily living and initial National Institutes of Health Stroke Scale scores) and three 1 H-MRS imaging characteristics (frontallobe Cho/Cr, temporal-lobe Cho/Cr, and anterior cingulated-cortex Cho/Cr) were screened out by LASSO regression. The consistency test through the calibration plot found that the predicted probability of the nomogram for PSD correlates well with the actual probability. The AUCs for internal validation and external validation were 0.8635 and 0.8851, respectively. Conclusion:The PSD risk model based on 1 H-MRS may help guide early treatment of stroke and prevent progression to PSD.

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Section: Discussionmentioning

confidence: 99%

<p>Construction of a Risk Model Associated with Prognosis of Post-Stroke Depression Based on Magnetic Resonance Spectroscopy</p>

Qiao

Sui

Zhang

et al. 2020

NDT

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Apathy syndrome in depressed patients previously treated with selective serotonin reuptake inhibitors

Петрова

Маркин

2020

Z. nevrol. psikhiatr. im. S.S. Korsakova

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Personality rehabilitation potential in acute cerebrovascular accident patients: factors and drivers of recovery

Gordeev,

Polyaev,

Ivanova

et al. 2024

Physical and rehabilitation medicine, medical rehabilitation

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Improving the rehabilitation of patients with impaired cognitive and personal status is an urgent task, since such disorders can lead to disability and a decrease in the quality of life. These changes often occur because of acute vascular catastrophes, such as Cerebrovascular Accident (CVA). This article presents an analysis of native and foreign publications devoted to the study of emotional disorders in the early recovery period after stroke. The authors aim to verify the most congruent factors and components of the personality and emotions that affect the rehabilitation potential of patients with stroke. The results of this study can be used to develop more effective and adapted rehabilitation programs for patients with stroke. Taking into account these factors in the process of rehabilitation treatment, which affect the overall rehabilitation potential, medical professionals can develop more personalized and targeted treatment plans, which contributes to improving the quality of life of patients and their early return to normal activities.

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Assessment of clinical manifestations and treatment of post-stroke depression in young patients with ischemic stroke

Cited by 3 publications

References 5 publications

<p>Construction of a Risk Model Associated with Prognosis of Post-Stroke Depression Based on Magnetic Resonance Spectroscopy</p>

<p>Construction of a Risk Model Associated with Prognosis of Post-Stroke Depression Based on Magnetic Resonance Spectroscopy</p>

Apathy syndrome in depressed patients previously treated with selective serotonin reuptake inhibitors

Personality rehabilitation potential in acute cerebrovascular accident patients: factors and drivers of recovery

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