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Evaluating Pharmacological and Rehabilitation Strategies for Effective Management of Bipolar Disorder: A Comprehensive Clinical Study
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作者 rocco de filippis Abdullah Al Foysal 《Advances in Bioscience and Biotechnology》 CAS 2024年第7期406-431,共26页
Bipolar disorder presents significant challenges in clinical management, characterized by recurrent episodes of depression and mania often accompanied by impairment in functioning. This study investigates the efficacy... Bipolar disorder presents significant challenges in clinical management, characterized by recurrent episodes of depression and mania often accompanied by impairment in functioning. This study investigates the efficacy of pharmacological interventions and rehabilitation strategies to improve patient outcomes and quality of life. Utilizing a randomized controlled trial with multiple treatment arms, participants will receive pharmacotherapy, polypharmacotherapy, rehabilitation interventions, or combination treatments. Outcome measures will be assessed using standardized scales, including the Hamilton Depression Scale, Yale-Brown Obsessive Compulsive Scale (Y-BOCS), and Mania Scale. Preliminary data suggest improvements in symptom severity and functional outcomes with combination treatments. This research aims to inform clinical practice, guide treatment decisions, and ultimately enhance the quality of care for individuals living with bipolar disorder. Findings will be disseminated through peer-reviewed journals and scientific conferences to advance knowledge in this field. 展开更多
关键词 Bipolar Disorder (BD) Pharmacotherapy (PT) Rehabilitation Interventions (RI) Hamilton Depression Scale (HAM-D) Yale-Brown Obsessive Compulsive Scale (Y-BOCS) Mania Scale (MS) Machine learning (ML) and Artificial Intelligence (AI).
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Harnessing the Power of Artificial Intelligence in Neuromuscular Disease Rehabilitation: A Comprehensive Review and Algorithmic Approach
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作者 rocco de filippis Abdullah Al Foysal 《Advances in Bioscience and Biotechnology》 CAS 2024年第5期289-309,共21页
Neuromuscular diseases present profound challenges to individuals and healthcare systems worldwide, profoundly impacting motor functions. This research provides a comprehensive exploration of how artificial intelligen... Neuromuscular diseases present profound challenges to individuals and healthcare systems worldwide, profoundly impacting motor functions. This research provides a comprehensive exploration of how artificial intelligence (AI) technology is revolutionizing rehabilitation for individuals with neuromuscular disorders. Through an extensive review, this paper elucidates a wide array of AI-driven interventions spanning robotic-assisted therapy, virtual reality rehabilitation, and intricately tailored machine learning algorithms. The aim is to delve into the nuanced applications of AI, unlocking its transformative potential in optimizing personalized treatment plans for those grappling with the complexities of neuromuscular diseases. By examining the multifaceted intersection of AI and rehabilitation, this paper not only contributes to our understanding of cutting-edge advancements but also envisions a future where technological innovations play a pivotal role in alleviating the challenges posed by neuromuscular diseases. From employing neural-fuzzy adaptive controllers for precise trajectory tracking amidst uncertainties to utilizing machine learning algorithms for recognizing patient motor intentions and adapting training accordingly, this research encompasses a holistic approach towards harnessing AI for enhanced rehabilitation outcomes. By embracing the synergy between AI and rehabilitation, we pave the way for a future where individuals with neuromuscular disorders can access tailored, effective, and technologically-driven interventions to improve their quality of life and functional independence. 展开更多
关键词 Neuromuscular Diseases REHABILITATION Artificial Intelligence Machine Learning Robotic-Assisted Therapy Virtual Reality Personalized Treatment Motor Function Assistive Technologies Algorithmic Rehabilitation
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Pharmacologic approaches to treatment resistant depression:Evidences and personal experience 被引量:15
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作者 Antonio Tundo rocco de filippis Luca Proietti 《World Journal of Psychiatry》 SCIE 2015年第3期330-341,共12页
AIM: To review evidence supporting pharmacological treatments for treatment-resistant depression(TRD) and to discuss them according to personal clinical experience.METHODS: Original studies, clinical trials, systemati... AIM: To review evidence supporting pharmacological treatments for treatment-resistant depression(TRD) and to discuss them according to personal clinical experience.METHODS: Original studies, clinical trials, systematic reviews, and meta-analyses addressing pharmacological treatment for TRD in adult patients published from 1990 to 2013 were identified by data base queries(Pub Med, Google Scholar e Quertle Searches) using terms: "treatment resistant depression", "treatment refractory depression", "partial response depression", "non responder depression", "optimization strategy", "switching strategy", "combination strategy", "augmentation strategy", selective serotonin reuptake inhibitors antidepressants(SSRI), tricyclic antidepressants(TCA), serotonin norepinephrine reuptake inhibitors antidepressants, mirtazapine, mianserine, bupropione, monoamine oxidase inhibitor antidepressant(MAOI), lithium, thyroid hormones, second generation antipsychotics(SGA), dopamine agonists, lamotrigine, psychostimulants, dextromethorphan, dextrorphan, ketamine, omega-3 fatty acids, S-adenosil-L-metionine, methylfolat, pindolol, sex steroids, glucocorticoid agents. Other citations of interest were further identified from references reported in the accessed articles. Selected publications were grouped by treatment strategy:(1) switching from an ineffective antidepressant(AD) to a new AD from a similar or different class;(2) combining the current AD regimen with a second AD from a different class; and(3) augmenting the current AD regimen with a second agent not thought to be an antidepressant itself.RESULTS: Switching from a TCA to another TCA provides only a modest advantage(response rate 9%-27%), while switching from a SSRI to another SSRI is more advantageous(response rate up to 75%). Evidence supports the usefulness of switching from SSRI to venlafaxine(5 positive trials out 6), TCA(2 positive trials out 3), and MAOI(2 positive trials out 2) but not from SSRI to bupropione, duloxetine and mirtazapine. Three reviews demonstrated that the benefits of intraand cross-class switch do not significantly differ. Data on combination strategy are controversial regarding TCA-SSRI combination(positive results in old studies, negative in more recent study) and bupropion-SSRI combination(three open series studies but not three controlled trails support the useful of this combination) and positive regard mirtazapine(or its analogue mianserine) combination with ADs of different classes. As regards the augmentation strategy, available evidences supported the efficacy of TCA augmentation with lithium salts and thyroid hormone(T3), but are conflicting regard the SSRI augmentation with these two drugs(1 positive trial out of 4 for lithium and 3 out of 5 for thyroid hormone). Double-blind controlled studies showed the efficacy of AD augmentation with aripiprazole(5 positive trials out 5), quetiapine(3 positive trials out 3) and, at less extent, of fluoxetine augmentation with olanzapine(3 positive trials out 6), so these drugs received the FDA indication for the acute treatment of TRD. Results on AD augmentation with risperidone are conflicting(2 short term positive trials, 1 short-term and 1 long-term negative trials). Case series and open-label trials showed that AD augmentation with pramipexole or ropinirole, two dopamine agonists, could be an effective treatment for TRD(response rate to pramipexole 48%-74%, to ropinirole 40%-44%) although one recent double-blind placebo-controlled study does not support the superiority of pramipexole over placebo. Evidences do not justify the use of psychostimulants, omega-3 fatty acids, S-adenosil-Lmetionine, methylfolate, pindolol, lamotrigine, and sex hormone as AD augmentation for TRD. Combining the available evidences with our experience we suggest treating non-responders to one SSRI bupropion or mirtazapine trial by switching to venlafaxine, and nonresponders to one venlafaxine trial by switching to a TCA or, if TCA are not tolerated, combining mirtazapine with SSRI or venlafaxine. In non-responders to two or more ADs(including at least one TCA if tolerated) current AD regimen could be augmented with lithium salts(mainly in patients with bipolar depression or suicidality), SGAs(mostly aripiprazole) or DA-agonists(mostly pramipexole). In patients with severe TRD, i.e., non-responders to combination and augmentation strategies as well as to electroconvulsive therapy if workable, we suggest to try a combination plus augmentation strategy.CONCLUSION: Our study identifies alternative effective treatment strategies for TRD. Further studies are needed to compare the efficacy of different strategies in more homogeneous subpopulations. 展开更多
关键词 Treatment resistant DEPRESSION Combination Augmentation Switching Non RESPONDER DEPRESSION Partial response DEPRESSION Major DEPRESSIVE disorder Antidepressants Second generation ANTIPSYCHOTICS Dopamine-agonists
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