Design, synthesis, biological evaluation and molecular docking studies of quinoline-anthranilic acid hybrids as potent anti-inflammatory drugs.

Despite the high global prevalence, rheumatoid arthritis lacks a satisfactory treatment. Hence, the present study is undertaken to design and synthesize novel anti-inflammatory compounds. For this, quinoline and anthranilic acid, two medicinally-privileged moieties, were linked by pharmacophore hybridization, and following their computational assessments, three hybrids 5a-c were synthesized in good over all yields. The in vitro and in vivo anti-inflammatory potential of these hybrids was determined by anti-denaturation and anti-proteinase, and carrageenan-induced paw edema models. The computational studies of these hybrids revealed their drug-likeness, optimum pharmacokinetics, and less toxicity. Moreover, they demonstrated high binding affinity (-9.4 to -10.6 kcal mol-1) and suitable binding interactions for TNF-α, FLAP, and COX-II. A three-step synthetic route resulted in the hybrids 5a-c with 83-86% yield of final step. At 50 µg mL-1, the antiprotease and anti-denaturation activity of compound 5b was significantly higher than 5a and 5c. Furthermore, 5b significantly reduced the edema in the right paw of the rats that received carrageenan. The results of this study indicate the medicinal worth of the novel hybrids in treating inflammatory disorders such as rheumatoid arthritis.

Prevalence and severity of restless leg syndrome in patients with spinal cord injuries.

OBJECTIVE: To determine the prevalence of restless leg syndrome in patients with spinal cord injury using a consensus criterion. METHODS: The cross-sectional study was conducted from November 29, 2018, to February 28, 2021 at the departments of Neurology and Orthopaedic Surgery, King Edward Medical University, Mayo Hospital, Lahore, Pakistan, and comprised patients of either gender aged 18-80 years having spinal cord injuries. All the patients were interviewed using a 10-item questionnaire, and were assessed using the five-point consensus criteria of the International Restless Leg Syndrome Study Group. Data was analysed using SPSS 20. RESULTS: Of the 253 patients, 128(50.6%) were males and 125(49.4%) were females. The overall mean age was 38.6±14.2 years. Restless leg syndrome was present in 116(45.8%) patients, and 64(55.2%) of them were males (p>0.05). The mean duration of the symptoms was 18.9±16.9 months. Causes of spinal cord injury included metastasis 28(11.1%) multiple sclerosis 32(12.6%), neuromyelitis optica spectrum disorders 68(26.9%), tuberculous spondylitis 85(33.6%), trauma 24(9.5%) and viral myelitis 16(6.3%). CONCLUSIONS: Restless leg syndrome was prevalent in less than half the patients having spinal cord injury. It was more prevalent in males compared to females, but the difference was not significant.

Efficacy of azathioprine and methotrexate in patients with chronic inflammatory demyelinating polyneuropathy (CIDP).

The study examined the efficacy of various immunosuppressants in patients with chronic inflammatory demyelinating polyneuropathy. We compared the efficacy of Azathioprine and Methotrexate in the treatment of CIDP. Patients of either gender aged ≥18 years having chronic polyneuropathy progressive for at least 8 weeks having no serum para protein or any genetic abnormality and fulfilling the Koski criteria. To measure the efficacy, Overall Neuropathy Limitation Scale (ONLS) was used. Group 1 was treated with a combination of oral steroids i.e., Prednisolone and Azathioprine while group 2 was treated with a combination of Prednisolone and Methotrexate. ONLS was statistically insignificant in the patient groups (AZA versus MTX) at the beginning of the therapy (from 1-3 months) in both groups. However, in the 4th month, the AZA group performed better than the MTX group. At the 12th month, the mean ONLS score of the patients in the AZA group was 3.69, while the mean ONLS score of the patients in the MTX group was 5.30 (p-value=0.001). We concluded that Azathioprine was more efficacious as compared to Methotrexate in the treatment of CIDP based on ONLS and should be considered as a first-line immunosuppressant in the treatment of CIDP in low-income countries like Pakistan.

Microscopic, phytochemical and antibacterial studies of Zizyphus oxyphylla Edgew. leaves.

Microscopic, phytochemical and pharmacological profiles are required for correct identification of a plant material to ensure consistent efficacy and safety. But such data are not available for the leaf of an important medicinal plant, Zizyphus oxyphylla Edgew. (Family: Rhamnaceae). Therefore, the current study aimed to investigate leaves of the plant for microscopic, phytochemical and antibacterial studies. Powdered material was subjected to microscopy, proximate analyses and estimation of total primary metabolites. Then, different types of extracts prepared using various solvents in order of increasing polarity were screened for antibacterial activity against seven standard strains. The most active extract was hydrolyzed and aglycone enriched fraction was extracted and screened for antibacterial activity. The powder microscopy indicated the presence of vascular bundles filled with cuboidal calcium oxalate crystals, anisocytic stomata and xylary vessels with reticulate and scalariform thickenings. Proximate features and primary metabolites provided characteristic identifying patterns. The most active extract (methanol) upon acidic hydrolysis exhibited higher activity against B. bronchiseptica (26.01±0.01 mm), S. aureus (26.00±0.00 mm), P. aeruginosa (24.03±0.02 mm) and M. luteus (24.02± 0.00 mm). The results of the current study provide identifying microscopic and phytochemical profiles that may be useful for correct identification of leaves of the plant. Aglycone enriched extract is having remarkable antibacterial activity hence may be used for activity-guided isolation.

Clinical and biochemical indicators of disease severity and neurological findings in COVID-19: A study of King Edward Medical University (KEMU), Pakistan.

This study investigated the significance of difference between presence and absence of different neurological findings in COVID-19, in relation with the biochemistry. Various significant correlations in connection with the disease severity and clinical factors were also identified. 351 COVID-19 patients were included. Different laboratory/ clinical findings were investigated. Correlations Kendall's tau and Pearson Chi-Square were applied to find the correlations between severity and clinical findings. The Mann-Whitney Test was applied for a comparison between two types of neurological groups for each biochemistry parameter. Headache was reported in 28% and dizziness in 13% patients. The impaired smell and impaired taste were reported in 28.5% and 36.2% patients, respectively. The muscle pain was present in 39% patients. 80% patients had low lymphocytes & 70% had high neutrophils. 54.5% were found with high ALP. LDH was elevated in 73%. Severity was found significantly correlated with decreased oxygen saturation, age and raised levels of urea, creatinine and LDH. The groups (with/without CNS involvement) were statistically different in ALP, groups (with/without PNS involvement) in WBC, lymphocytes, neutrophils, ALP, urea, creatinine, CK, CKMB and LDH and groups (with/without MSK involvement) in WBC. Oxygen saturation, age, urea, creatinine and LDH are significant indicators of disease severity in COVID-19. The altered levels of different biochemistry can impact the neurological states of COVID-19 patients.

Comparision of perceived stress between nurses working in medical and psychiatric wards.

OBJECTIVE: To examine and contrast the levels of perceived non-specific and work-related stress and sources of work-related stress between medical and psychiatric nurses. METHODS: The comparative cross-sectional study was conducted at one psychiatric and three general hospitals in Lahore, Pakistan, from November 2014 to February 2015. Data was collected using a self-report survey administered to psychiatric and medical nurses. Instruments used to collect data comprised a demographic sheet, the perceived stress scale and the Devilliers, Carson and Leary stress scale. Data was analysed using SPSS 17. RESULTS: Of the 134 subjects, 49(44%) were psychiatric nurses and 85(63.43%) were medical nurses. The two groups were significantly different in terms of age, marital status and years of experience (p<0.05). Medical nurses reported higher perceived stress than psychiatric nurses (p=0.001). Age was positively associated with non-specific perceived stress (p=0.006). Nurses with more work experience reported lower scores (p=0.002). Single nurses had higher perceived stress (p=0.014) and non-mothers reported higher stress levels (p=0.036). With regard to work-related stress, medical nurses reported significantly higher scores in the domains of staff-related issues (p=0.009), future prospects (p=0.026) and job satisfaction (p=0.029). CONCLUSIONS: Medical nurses experienced higher non-specific and work related stress than nurses working in mental health facilities.

Assessment and prediction of restless leg syndrome (RLS) in patients with diabetes mellitus type II through artificial intelligence (AI).

This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes mellitus (DM) type-2, thorough artificial intelligence based multilayer perceptron (MLP). 300 cases of diabetes mellitus type-2, of age between 18-80 years were included. Point-biserial correlation/Pearson Chi-Square correlations were conducted between RLS and risk factors. We trained a backpropagation MLP via. supervised learning algorithm to predict clinical outcome for RLS. Majority of the patients were having hypertension (63%) and with peripheral neuropathy (69%). Two mostly reported scaled parameters were: 18% 'tiredness' and 14%, 'impact on mood'. A significant correlation was found in RLS with smoking, hypertension and chronic renal failure (CRF). MLP model achieved more than 95% accuracy in predicting the outcome with cross entropy error 0.5%. Following scaled symptomatic variables: 'need/urge to move' (100%) achieved the highest normalized importance, followed by 'relief by moving' (85.7%), 'sleep disturbance' (62%) and 'impact on mood' (51.3%). Artificial intelligence based models can help physicians to identify the pre diagnose RLS, so that active measures can be taken in time to avoid further complications.

Depression and dementia from hyponatremia in brain cancer patients exposed to frozen food chemicals.

Frozen food chemicals contain neurotoxins which disturb electrolyte levels. Altered electrolyte levels can induce mental illnesses. This study was focused on finding the prevalence of depression, dementia, intake of antidepressants and electrolytic alterations in brain cancer (BC) patients and in control group (CG) who were taking frozen and canned food. The levels of electrolytes were compared in both groups through Mann-Whitney U test. The Odds Ratio (OR) and Relative Risks (RR) were calculated of having a specific occurrence or condition of brain cancer patients vs. controls. Majority (41.42%) patients were from the age group 33-57 years. There were 52% male and 47% female patients. There was more occurrence of dementia (41%) and depression (6%) in patients as compared to CG. 94% patients were found with dementia. 32% patients were having low levels of sodium and 43% were having low levels of potassium. High levels of potassium (26%) were found in CG. 76% patients and 73% controls were taking canned food in moderation. 69% patients and 50% controls were taking frozen food in moderation. The potassium levels (p value: 0.00001) and sodium levels (p value: 0.01468) were found at significant difference in brain cancer patients and control group. Statistically significantly higher odds of outcome (OR>1) and increased relative risks (RR) were reported in dementia, depression and intake of anti-depressants for BC vs. CG. This epidemiological study reports hyponatremia as a significantly different parameter between brain cancer patients and controls. Food's chemicals induce hyponatremia, which can disturb mental states to develop different neurological conditions.

Impacts of intake of bakery food chemicals, degraded water and psychiatric drugs on liver & renal functions of brain tumor patients.

A chemically preserved food has raised mental health issues. Abnormalities in liver and kidney functions have been reported from mentally imbalanced individuals. This study was focused on finding anxiety issues and biochemistry alterations in brain tumor patients and in controls. The levels of liver & kidney enzymes were compared in both groups through Mann-Whitney U test. Kendall's tau-b correlation was conducted to determine that is there any relationship between anxiety levels and biochemistry parameters in both groups. There was more occurrence of severe anxiety levels (58%) in brain tumor patients. There were more mood swings in CG (64%) as compared to BP (48%). Less sleeping pattern was found in CG (42%) as compared to BP (37%). More patients (58%) were having severe anxiety levels as compared to CG (52%). 73% patients were having low levels of alkaline phosphatase (AP). 52% individuals in CG were having low levels of AP. AP was found significantly associated with anxiety levels in brain tumor patients only. A nutrient deprived food from preservation can reduce levels of alkaline phosphatase. This can impact metabolism of necessary minerals for proper brain function. This epidemiological study reports a significant association between anxiety and reduced AP levels.

Computational imaging for rapid detection of grade-I cerebral small vessel disease (cSVD).

An early identification and subsequent management of cerebral small vessel disease (cSVD) grade 1 can delay progression into grades II and III. Machine learning algorithms have shown considerable promise in medical image interpretation automation. An experimental cross-sectional study aimed to develop an automated computer-aided diagnostic system based on AI (artificial intelligence) tools to detect grade 1-cSVD with improved accuracy. Patients with Fazekas grade 1 cSVD on Non-Contrast Magnetic Resonance Imaging (MRI) Brain of age >40 years of both genders were included. The dataset was pre-processed to be fed into a 3D convolutional neural network (CNN) model. A 3D stack with the shape (120, 128, 128, 1) containing axial slices from the brain magnetic resonance image was created. The model was created from scratch and contained four convolutional and three fully connected (FC) layers. The dataset was preprocessed by making a 3D stack, and normalizing, resizing, and completing the stack was performed. A 3D-CNN model architecture was designed to train and test preprocessed images. We achieved an accuracy of 93.12 % when 2D axial slices were used. When the 2D slices of a patient were stacked to form a 3D image, an accuracy of 85.71 % was achieved on the test set. Overall, the 3D-CNN model performed very well on the test set. The earliest and the most accurate diagnosis from computational imaging methods can help reduce the huge burden of cSVD and its associated morbidity in the form of vascular dementia.

The Role of Proton Pump Inhibitors in the Realm of Idiopathic Pulmonary Fibrosis and its Associated Comorbidities: A Systematic Review.

As the global incidence of idiopathic pulmonary fibrosis (IPF) is on the rise, there is a need for better diagnostic criteria, better treatment options, early and appropriate diagnosis, adequate care, and a multidisciplinary approach to the management of patients. This systematic review explores the role of proton pump inhibitors (PPIs) in IPF and answers the question, "Does proton pump inhibitor improve only the prognosis of gastroesophageal associated idiopathic pulmonary fibrosis or for other types of idiopathic pulmonary fibrosis too?" We used PubMed (PMC) and Google Scholar for data collection for this systematic review and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for conducting this review. After in-depth literature screening and quality appraisal, 12 articles were selected for this systematic review. On the one hand, the efficacy of PPI therapy is supported by research such as the CAPACITY and ASCEND trials, a pilot randomized control trial (RCT) investigating the role of omeprazole in IPF and a bidirectional two-sample Mendelian randomization (MR) study, respectively. On the other hand, a systematic review and meta-analysis on antacid and antireflux surgery in IPF negate these results and show no statistical significance. Questions regarding the efficacy of PPI therapy must be dealt with in an adequately powered multicenter and double-blinded randomized control trial. The anti-inflammatory properties of antacids can serve as the cornerstone for future trials. In the following systematic review, antacid, antireflux therapy, omeprazole, and proton pump therapy are synonymous with stomach acid suppression therapy.

Comparison of Low-Dose Interleukin 2 Therapy in Conjunction With Standard Therapy in Patients With Systemic Lupus Erythematosus vs Rheumatoid Arthritis: A Systematic Review.

This systematic review aims to compare the efficacy and safety of a novel immunotherapy with low-dose interleukin 2 (IL2) across two of the most prevalent autoimmune diseases i.e. systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA). Contemporary therapeutic practices have not been able to achieve complete remission from these autoimmune disorders. In contrast, low-dose IL2 has shown promise in achieving this therapeutic goal via inducing self-tolerance in patients with autoimmune diseases; however, due to variable irregularities among autoimmune processes of variable diseases, the benefit of low-dose IL2 could not be determined among different autoimmune diseases. Therefore, we conducted a study to compare low-dose IL2 therapy effects on SLE and RA. We systematically screened four databases: PubMed, Medical Literature Analysis and Retrieval System Online (MEDLINE), PubMed Central (PMC), and Google Scholar. Inclusion and exclusion criteria were implemented. Quality appraisal of studies chosen for the review was done using the Cochrane Risk-of-Bias (RoB) assessment tool for randomized controlled trials, and the Newcastle-Ottawa Scale (NOS) and JBI critical appraisal tool for non-randomized clinical trials. Information was gathered from seven articles: three randomized controlled trials and four non-randomized clinical trials. Our review concluded that low-dose IL2 therapy in conjunction with respective standard therapies for SLE and RA has a higher efficacy and safety profile as compared to standard therapy alone and the therapeutic effects were comparable in both SLE and RA patients treated with low-dose IL2; however, this novel intervention does not seem to have a significant corrective effect on the biomarkers of RA as it does for SLE biomarkers.

Exploring Taurine's Potential in Alzheimer's Treatment: A Comprehensive Review.

Alzheimer's disease (AD) stands as one of the predominant neurodegenerative disorders, often culminating in dementia. Taurine, an endogenous amino acid, holds pivotal regulatory functions within the physiological milieu. Emerging evidence suggests that taurine may confer protection against the onset and progression of AD through diverse mechanistic pathways. This systematic review aims to comprehensively elucidate the multifaceted role of taurine in Alzheimer's disease. The primary objective is to assess taurine's potential as a preventative and therapeutic intervention for Alzheimer's, based on studies from 2004 to 2022. A rigorous search strategy was implemented, targeting English-language articles accessible in full text. Eligible studies were meticulously sourced from renowned databases including PubMed, PubMed Central, Science Direct, Cochrane Library, and Medline Plus. Inclusion criteria were limited to studies explicitly investigating the role of taurine in Alzheimer's disease. Our review encompasses a wealth of experimental studies conducted on murine models, collectively indicating taurine's capacity to ameliorate symptomatic presentations of Alzheimer's disease. Encouraged by these promising preclinical findings, the imperative for clinical trials in human subjects emerges. Taurine emerges as a prospective agent, offering potential mitigation of the cognitive and memory-related debility synonymous with Alzheimer's disease. This systematic review delineates a compelling body of evidence underscoring the putative neuroprotective role of taurine in Alzheimer's disease. However, it is incumbent upon the scientific community to bridge the translational gap through robust clinical investigations. Such endeavors hold promise in revolutionizing the therapeutic landscape for individuals grappling with the formidable challenges posed by Alzheimer's disease.

Breaking It Down: A Systematic Review Unravelling the Impact of Attention Deficit Hyperactivity Disorder and Methylphenidate on Childhood Fractures.

Limb fractures are a common cause of pediatric hospital admissions and surgeries, with a significant prevalence in the United Kingdom across all injury categories. Among psychiatric conditions in children, attention deficit hyperactivity disorder (ADHD) stands out as frequently associated with fractures, particularly those involving extremities. ADHD, with diagnoses prevalent among a significant proportion of school-age children and adolescents, has witnessed a growing global incidence. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist for our systematic literature search, using various databases and specific search terms related to ADHD and fractures. We considered articles from 2018 to 2023, focusing on English language papers with free full-text access. Our selection process used the PRISMA flowchart. We began with 1,890 articles and, after deduplication, title screening, abstract assessment, and quality evaluation included nine research papers in our review. Our primary focus was on examining fracture-related outcomes in individuals with ADHD compared to those without, considering medication status. These studies encompassed various designs, with a focus on the ADHD-fracture relationship and methylphenidate's (MPH) impact. Our study confirms that ADHD increases fracture risk and suggests that MPH may help mitigate this risk. Early ADHD detection is vital for nonpharmacological interventions. Orthopedic surgeons should proactively identify ADHD, while healthcare professionals should offer injury prevention guidance, particularly for at-risk groups.

Exploring the Impact of Personalized Nutritional Approaches on Metabolism and Immunity: A Systematic Review of Various Nutrients and Dietary Patterns.

The systematic review investigates the impact of different nutrients and dietary patterns on metabolism and immunity to answer the research question: "Can personalized nutritional approaches boost immunity?" The importance of diet in supporting the immune system has come to light in today's environment, where a strong immune system is crucial for protection against infectious illnesses, as highlighted by the COVID-19 pandemic. This systematic review adhered to the guidelines outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020. Four databases were screened for relevant data published in 2022-2023: PubMed, PubMed Central (PMC), MEDLINE, and Cochrane Library. Inclusion and exclusion criteria were utilized, and 13 papers were finalized after screening and employing the quality appraisal tool Cochrane Bias assessment for randomized controlled trials (RCT). Personalized nutrition can strengthen immunity and enhance overall health by adjusting dietary recommendations and following a person's genetic makeup, lifestyle, and health state. An adequate supply of vitamins, minerals, proteins, and fatty acids as well as an optimum caloric intake are essential for immune health, and individual requirements can vary significantly due to genetic factors, lifestyle choices, and underlying health conditions. Personalized nutrition considers these factors, enabling tailored dietary recommendations to address specific nutrient needs and optimize nutrient intake, leading to better health outcomes. The review concludes that personalized nutrition is more effective than a one-size-fits-all approach in boosting immunity, and its potential impact on health and immune function is highly important.

Effectiveness of Probiotic Use in Alleviating Symptoms of Irritable Bowel Syndrome: A Systematic Review.

Irritable bowel syndrome (IBS) is a common functional gastrointestinal (GI) condition, and changes in the gut microbiota's composition contribute to the development of symptoms. Although the precise mechanisms of probiotic use in the human body are not fully understood, probiotic supplements are believed to reduce symptoms, such as abdominal pain, by regulating neurotransmitters and receptors associated with pain modulation in IBS patients compared to placebo by altering the gut flora. This systematic review aimed to assess the most current randomized controlled trials (RCTs) on how probiotic supplementation affects the symptoms in people with IBS. The effects of probiotic supplements on IBS symptoms were studied in RCTs published between January 2018 and June 2023. After a search through PubMed and Google Scholar using the keywords probiotics, gut microbiota, irritable bowel syndrome, and IBS; eight articles matched the inclusion criteria and were reviewed. Four trials used a multistrain probiotic, whereas the remaining four trials examined the effects of a monostrain supplement. All eight trials came to the same conclusion: Probiotic treatment may significantly reduce symptoms.

Neuroendoscopic versus Craniotomy Approach in Supratentorial Hypertensive Intracerebral Hemorrhage: An Updated Meta-Analysis.

BACKGROUND: Intracerebral hemorrhage (ICH) is a serious medical condition associated with high mortality and disability rates. Surgical interventions, including neuroendoscopic surgery (NES) and craniotomy, are employed to manage ICH and improve patient outcomes. This meta-analysis compared the effectiveness of NES versus craniotomy in treating ICH. METHODS: A systematic literature search was conducted to identify relevant studies comparing NES with craniotomy for ICH. Inclusion criteria encompassed primary or secondary results from randomized controlled trials or observational studies for confirmed supratentorial ICH. Data were extracted, and methodological quality was assessed using appropriate tools. Statistical analysis was performed using meta-analysis software. RESULTS: The analysis included 26studies (N = 3237 patients). NES was associated with significantly lower mortality compared with craniotomy (odds ratio 0.45, 95% confidence interval [CI] 0.33 to 0.60, P < 0.00001). Hematoma evacuation rates were higher with NES (standardized mean difference 1.505, 95% CI 0.835 to 2.160, P < 0.00001). NES also showed better functional outcomes (odds ratio 3.31, 95% CI 1.78 to 6.17, P = 0.0002) and reduced blood loss (standardized mean difference -3.06, 95% CI -3.979 to -2.141, P = 0.000). Additionally, NES was associated with shorter hospital and intensive care unit stays, shorter operative times, and fewer complications such as infection and rebleeding. CONCLUSIONS: NES is a promising alternative to craniotomy for treating ICH, offering advantages in terms of reduced mortality, improved functional outcomes, and fewer complications. Future studies should explore advances in neuroendoscopic techniques to optimize patient outcomes further.

Significant potential of melatonin therapy in Parkinson's disease - a meta-analysis of randomized controlled trials.

Objective: Since its discovery as an antioxidant, melatonin has been increasingly recognized for its therapeutic potential beyond sleep disturbances in neurodegenerative disorders. This study aims to evaluate efficacy of various melatonin doses, treatment durations, and formulations, in alleviating motor symptoms and sleep disturbances in Parkinson's disease, the second most common neurodegenerative disorder worldwide. Methods: PubMed, Cochrane Library, ClinicalTrials.gov and other databases were systematically searched to retrieve randomized controlled trials (RCTs) administrating melatonin to Parkinson's disease patients until June 10th, 2023. Outcomes including Unified Parkinson Disease Rating Scale (UPDRS) scores and Pittsburgh Sleep Quality Index (PSQI) scores, were pooled and reported as mean differences (MD) with 95% confidence intervals (CIs). Meta-analysis was performed using an inverse variance random-effects model in Review Manager 5.4 software. Trial Sequential Analysis was performed to avoid false-positive results from random errors. Results: Five RCTs with a total of 155 patients were included. Statistically significant reductions in UPDRS total scores were observed in groups receiving Melatonin ≥10 mg/day (MD = -11.35, 95% CI: -22.35 to -0.35, I2 = 0%, p = 0.04) and immediate release formulations (MD = -11.35, 95% CI: -22.35 to -0.35, I2 = 0%, p = 0.04). No significant effects on individual UPDRS II, III, and IV scores were observed, regardless of melatonin dosage and treatment duration. Moreover, significant improvements in PSQI scores were observed with only immediate-release melatonin formulations (MD = -2.86, 95% CI: -4.74 to -0.97, I2 = 0%, p = 0.003). Conclusion: Melatonin ≥10 mg/day for a minimum duration of ≥12 weeks in immediate-release formulations consistently demonstrated significant therapeutic potential in improving motor symptom and sleep disturbances in Parkinson disease. However, further trials are warranted to investigate its impact when initiated early in the disease course to fully explore its true therapeutic potential. Systematic review registration: Unique identifier: CRD42023427491 (PROSPERO).

Machine learning models to predict neuropsychiatric disorders in various brain tumors.

OBJECTIVE: Neuropsychiatric disorders in brain tumor patients are commonly observed. It is difficult to anticipate these disorders in different types of brain tumors. The goal of the study was to see how well machine learning (ML)-based decision algorithms might predict neuropsychiatric problems in different types of brain tumors. METHODS: 145 histopathologically-confirmed primary brain tumors of both gender aged 25-65 years of age, were included for neuropsychiatric assessments. The datasets of brain tumor patients were employed for building the models. Four different decision ML classification trees/models (J48, Random Forest, Random Tree & Hoeffding Tree) with supervised learning were trained, tested, and validated on class labeled data of brain tumor patients. The models were compared in order to determine the best accurate classifier in predicting neuropsychiatric problems in various brain tumors. Following categorical attributes as independent variables (predictors) were included from the data of brain tumor patients: age, gender, depression, dementia, and brain tumor types. With the machine learning decision tree/model techniques, a multi-target classification was performed with classes of neuropsychiatric diseases that were predicted from the selected attributes. RESULTS: 86 percent of patients were depressed, and 55 percent were suffering from dementia. Anger was the most often reported neuropsychiatric condition in brain tumor patients (92.41%), followed by sleep disorders (83%), apathy (80%), and mood swings (76.55%). When compared to other tumor types, glioblastoma patients had a higher rate of depression (20%) and dementia (20.25%). The developed models Random Forest and Random Tree were found successful with an accuracy of up to 94% (10-folds) for the prediction of neuropsychiatric disorders in brain tumor patients. The multiclass target (neuropsychiatric ailments) accuracies were having good measures of precision (0.9-1.0), recall (0.9-1.0), F-measure (0.9-1.0), and ROC area (0.9-1.0) in decision models. CONCLUSION: Random Forest Trees can be used to accurately predict neuropsychiatric illnesses. Based on the model output, the ML-decision trees will aid the physician in pre-diagnosing the mental issue and deciding on the best therapeutic approach to avoid subsequent neuropsychiatric issues in brain tumor patients.

A Rare Co-Existence of Multiple Cerebral Cavernous Malformations and Pleomorphic Adenoma of the Parotid Gland in Myotonic Dystrophy.

Myotonic dystrophy is an autosomal dominant inherited disorder primarily affecting muscle function. Myotonia, progressive muscle weakness and wasting, and associated systemic involvement, i.e., cataracts, cardiac conduction defects and endocrine abnormalities especially insulin resistance, are the characteristic features. Recent evidence has shown an increased risk of developing benign as well as malignant tumours in such patients. We report a 39-year male of myotonic dystrophy who presented with multiple cerebral cavernous malformations in addition to pleomorphic adenoma of the parotid gland. Though the association of myotonic dystrophy with salivary gland neoplasms has been sparsely documented in the literature, but the co-existence with multiple cerebral cavernous malformations has not been reported so far. Our case is the first of its kind. Key Words: Cerebral cavernous malformations, Myotonic dystrophy, Parotid gland, Pleomorphic adenoma.