A randomized open-label clinical trial on the effect of Amantadine on post Covid 19 fatigue.

Many COVID-19 survivors experience lingering post-COVID-19 symptoms, notably chronic fatigue persisting for months after the acute phase. Despite its prevalence, limited research has explored effective treatments for post-COVID-19 fatigue. This randomized controlled clinical trial assessed the impact of Amantadine on patients with post-COVID-19 fatigue. The intervention group received Amantadine for two weeks, while the control group received no treatment. Fatigue levels were assessed using the Visual Analog Fatigue Scale (VAFS) and Fatigue Severity Scale (FSS) questionnaires before and after the trial. At the study's onset, VAFS mean scores were 7.90 ± 0.60 in the intervention group and 7.34 ± 0.58 in the control group (P-value = 0.087). After two weeks, intervention group scores dropped to 3.37 ± 0.44, significantly lower than the control group's 5.97 ± 0.29 (P-value < 0.001). Similarly, FSS mean scores at the trial's commencement were 53.10 ± 5.96 in the intervention group and 50.38 ± 4.88 in the control group (P-value = 0.053). At the trial's end, intervention group scores decreased to 28.40 ± 2.42, markedly lower than the control group's 42.59 ± 1.50 (P-value < 0.001). In this study, we report the safety, tolerability, and substantial fatigue-relieving effects of Amantadine in post-COVID-19 fatigue. The intervention demonstrates a statistically significant reduction in fatigue levels, suggesting Amantadine's potential as an effective treatment for this persistent condition.

Cerebral hemodynamic response to generalized anxiety disorder.

BACKGROUND: Generalized anxiety disorder (GAD) is the least studied among anxiety disorders. Therefore, we aimed to compare the cervical blood flow velocities using doppler ultrasonography in untreated chronic GAD patients and healthy individuals. MATERIAL AND METHODS: In this study, thirty-eight GAD patients were enrolled. And thirty-eight healthy volunteers were recruited as control participants. The common carotid artery (CCA), internal carotid artery (ICA), and vertebral artery (VA) of both sides were explored. Also, we trained machine learning models based on cervical arteries characteristics to diagnose GAD patients. RESULTS: Patients with chronic untreated GAD showed a significant increase in peak systolic velocity (PSV) bilaterally in the CCA and the ICA (P value < 0.05). In GAD patients, the end-diastolic velocity (EDV) of bilateral CCA, VA, and left ICA was significantly decreased. The Resistive Index (RI) showed a significant increase in all patients with GAD. Moreover, the Support Vector Machine (SVM) model showed the best accuracy in identifying anxiety disorder. CONCLUSION: GAD is associated with hemodynamic alterations of extracranial cervical arteries. With a larger sample size and more generalized data, it is possible to make a robust machine learning-based model for GAD diagnosis.

On-admission and dynamic trend of laboratory profiles as prognostic biomarkers in COVID-19 inpatients.

This large-scale study aimed to investigate the trend of laboratory tests of patients with COVID-19. Hospitalized confirmed and probable COVID-19 patients in three general hospitals were examined from March 20, 2020, to June 18, 2021. The confirmed and probable COVID-19 patients with known outcomes and valid laboratory results were included. The least absolute shrinkage and selection operator (LASSO) and Cox regression were used to select admittance prognostic features. Parallel Pairwise Comparison of mortality versus survival was used to examine the trend of markers. In the final cohort, 11,944 patients were enrolled, with an in-hospital mortality rate of 21.8%, mean age of 59.4 ± 18.0, and a male-to-female ratio of 1.3. Abnormal admittance level of white blood cells, neutrophils, lymphocytes, mean cellular volume, urea, creatinine, bilirubin, creatine kinase-myoglobin binding, lactate dehydrogenase (LDH), Troponin, c-reactive protein (CRP), potassium, and creatinine phosphokinase reduced the survival of COVID-19 inpatients. Moreover, the trend analysis showed lymphocytes, platelet, urea, CRP, alanine transaminase (ALT), and LDH have a dissimilar trend in non-survivors compared to survived patients. This study proposed a novel approach to find serial laboratory markers. Serial examination of platelet count, creatinine, CRP, LDH, and ALT can guide healthcare professionals in finding patients at risk of deterioration.

A Long-term Study of NeuroAid (MLC601, MLC901) in Patients with Alzheimer's Disease; An Extension 8-year Follow-up Study.

BACKGROUND: MLC601 and MLC901 showed neuroprotective and neuroregenerative properties and positive results in the treatment of dementia and cognitive impairment. This study aimed to investigate the long-term benefits of monotherapy with MLC601 and MLC901 in patients with Alzheimer's disease (AD). METHODS: In this study, patients with AD, diagnosed by DSM-IV criteria, were enrolled. Patients have received MLC601 for four years, and their regimen has changed to MLC901 for another four years. Recruited patients were followed to assess the efficacy and safety first of MLC601 and MLC901. Mini-Mental State Examination (MMSE) and Alzheimer's Disease Assessment Scale- Cognitive Subscale (ADAS-Cog) were used to assess cognitive function. Safety was evaluated by monitoring adverse events (AEs) and abnormal findings in physical examinations or lab tests. RESULTS: At the end of the trial, the changes in the mean (±SD) MMSE and ADAS-Cog scores were 5.1 (3.09) and 12.5 (10.89), respectively. Both scores showed a significant change in repeated measure analysis, with the ADAS-Cog score indicating a higher change than the MMSE score (P < 0.001). CONCLUSION: For more than eight years, we studied monotherapy with NeuroAid (MLC601, MLC901) in patients with AD. The study contributes further to the long-term safety and efficacy data of MLC in patients with AD.

Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features.

We aimed to propose a mortality risk prediction model using on-admission clinical and laboratory predictors. We used a dataset of confirmed COVID-19 patients admitted to three general hospitals in Tehran. Clinical and laboratory values were gathered on admission. Six different machine learning models and two feature selection methods were used to assess the risk of in-hospital mortality. The proposed model was selected using the area under the receiver operator curve (AUC). Furthermore, a dataset from an additional hospital was used for external validation. 5320 hospitalized COVID-19 patients were enrolled in the study, with a mortality rate of 17.24% (N = 917). Among 82 features, ten laboratories and 27 clinical features were selected by LASSO. All methods showed acceptable performance (AUC > 80%), except for K-nearest neighbor. Our proposed deep neural network on features selected by LASSO showed AUC scores of 83.4% and 82.8% in internal and external validation, respectively. Furthermore, our imputer worked efficiently when two out of ten laboratory parameters were missing (AUC = 81.8%). We worked intimately with healthcare professionals to provide a tool that can solve real-world needs. Our model confirmed the potential of machine learning methods for use in clinical practice as a decision-support system.

Fampridine in multiple sclerosis patients with acute phase of cervical transverse myelitis: a double-blind, randomized placebo-controlled trial.

BACKGROUND: Fampridine is a potassium channel blocker drug used to improve walking ability in patients with multiple sclerosis (MS). We evaluated the effect of fampridine in patients with MS in the acute phase of transverse myelitis. METHODS: In a randomized, placebo-controlled trial, 30 patients who had their first episode of cervical myelitis with quadriparesis presentation, with the final diagnosis of MS, were randomly divided into two equal groups. The intervention group received intravenous methylprednisolone (IVMP) for 7 days plus fampridine. The placebo group received IVMP for 7 days plus placebo. To compare the treatment results, we compared the Barthel index (BI) scores of the groups at the start of the trial and the 21st day after the start of treatment. RESULTS: There was no significant difference in baseline characteristics between the intervention and placebo groups in terms of mean age, sex, and mean admission BI (p > 0.05). Mean (SD) admission BI in placebo and intervention groups was 27.20 (7.341) and 27.87(5.78), respectively (p = 0.784). The measured mean (SD) BI after treatment was 48.73 (15.54) in the placebo and 64.93 (11.81) in the intervention group (p = 0.003) after 3 weeks. CONCLUSION: Using fampridine plus IVMP in the acute phase of transverse myelitis in MS patients improved the disease's symptoms and increased the daily activity ability of patients.

Vascular Endothelial Growth Factor as a Predictive and Prognostic Biomarker for Multiple Sclerosis.

BACKGROUND: Growing bodies of evidence suggest that angiogenesis plays a crucial role in the development and progression of multiple sclerosis (MS). Vascular endothelial growth factor (VEGF) is one of the key factors involved in angiogenesis. Because of this importance, we investigated the serum levels of VEGF in MS patients according to their clinical phase and subtype of MS in this study. MATERIAL AND METHODS: This case-control study was done on 47 definite MS patients with the first clinical attack and 47 randomly selected individuals without any underlying inflammatory and autoimmune disease as the control group. The total serum VEGF level was measured from the subject's peripheral blood sample by ELISA during the first and second attacks of MS and 6 months after the first attack in the remission phase as well as the control group. In addition, the correlation between these variables and the influence of gender, age, and duration of the remission phase on such associations was evaluated by using the independent t test and Pearson's correlation coefficient. RESULTS: There was an increase in the serum level of VEGF in all phases of MS compared with non-MS individuals (p value <0.0001) and a significant correlation between the serum level of VEGF and the interval between first and second attacks (r = -720, p < 0.0001). A higher serum level of VEGF in the first attack leads to higher VEGF levels in the second and sixth mount of remission phases. CONCLUSION: Rise in the serum VEGF level may be involved in MS's relapsing phases and a shorter remission phase. Therefore, it could be used as a prognostic and predictive biomarker for MS disease.

Effects of long-term oral nitrate administration on adiposity in normal adult female rats.

INTRODUCTION: Nitric oxide (NO) deficiency is associated with obesity. Nitrate could act as a substrate for production of NO and is a novel therapeutic agent in obesity. This study aims at determining effects of long-term nitrate administration on obesity indices in normal adult female rats. METHODS: Female Wistar rats were divided into four groups (n = 10/each): i.e. control group received tap water and three treatment groups received water containing 50, 100 and 150 mg/L sodium nitrate for 6 months. Body weight (g) was measured monthly; naso-anal length (cm) and obesity indices including body mass index (BMI), Lee index, abdominal and thoracic circumferences were determined every two months. Both white adipose tissue (WAT) and brown adipose tissue (BAT) were weighted and then adiposity index was calculated. In addition, level of NOx (nitrate + nitrite) in serum and adipose tissues were measured at the end of the study. RESULTS: Compared to controls, body weights and naso-anal length were significantly (P < 0.001) lower in all nitrate-treated rats. Compared to controls, nitrate-treated rats had also lower adiposity indices, BMI, Lee index, abdominal and thoracic circumferences (13%, 17% and 22% for BMI and 5%, 6% and 8% for lee index at dose 50, 100, and 150 mg/L, respectively). In addition, nitrate administration increased NOx levels in serum and adipose tissues. CONCLUSIONS: Long-term nitrate administration has favorable effects on adiposity. It increases brown and decreases white adipose tissues in normal female rats; these observations could potentially help in management of obesity.