Effect of a diet based on Iranian traditional medicine on inflammatory markers and clinical outcomes in COVID-19 patients: A double-blind, randomized, controlled trial.

Introduction: SARS-CoV-2 causes severe acute respiratory syndrome prompting worldwide demand for new antiviral treatments and supportive care for organ failure caused by this life-threatening virus. This study aimed to help develop a new Traditional Persian Medicine (TPM) -based drug and assess its efficacy and safety in COVID-19 patients with major symptoms. Methods: In February 2022, a randomized clinical trial was conducted among 160 patients with a confirmed diagnosis of COVID-19 admitted to Emam Reza (AJA) Hospital in Tehran, Iran. During their hospitalization, the intervention group received a treatment protocol approved by Iran's Ministry of Health and Medical Education (MOHME), consisting of an Iranian regimen, Ficus carica; Vitis vinifera, Safflower, Cicer arietinum, Descurainiasophia seeds, Ziziphus jujuba, chicken soup, barley soup, rose water, saffron, and cinnamon spices. All patients were compared in terms of demographics, clinical, and laboratory variables. Results: One hundred and sixty COVID-19 patients were divided into two groups: intervention and control. In baseline characteristics, there was no significant difference between the intervention and control groups (p>0.05). Using SPSS software version 22, statistical analysis revealed a significant difference in four symptoms: myalgia, weakness, headache, and cough (p<0.05). During the 5-day treatment period, the control group had significantly lower C-reactive protein (p<0.05). Conclusion: While more research with a larger sample size is needed, the proposed combination appears to be effective in the treatment of symptoms as well as inflammatory biomarkers such as C-reactive protein in COVID-19 patients.Iranian registry of clinical trials (IRCT) IRCT20220227054140N1.

Epidemiological characteristics, clinical course, and laboratory investigation of pediatric COVID-19 patients in a tertiary care center in Saudi Arabia.

Background: Since the initial emergence of the novel SARS-CoV-2 coronavirus responsible for the 2019 coronavirus disease (COVID-19) pandemic, many studies have been exploring the nature and characteristics of this virus and its associated clinical manifestations. The present study aimed to describe the clinical presentation and outcomes of COVID-19 infections in pediatric patients. Methods: A retrospective review of findings associated with 143 pediatric patients (age <14 years) with a confirmed COVID-19 diagnosis who had undergone inpatient or outpatient treatment at King Faisal Specialist Hospital and Research Center in Riyadh, Saudi Arabia, between March 2020 and October 2020, was conducted. The analyzed data included patient demographic information, pre-existing medical conditions, symptoms, interventions, and outcomes. Results: The median age of this patient population was 7 years. Of these 143 patients, 67 (46.8%) had known pre-existing medical conditions including bronchial asthma (12.8%), chronic lung disease (CLD) (3%), congenital heart disease (CHD) (17%), primary immunodeficiencies (1.5%), malignancies (9.8%), and 7.5% were post-transplant patients. Thirty-seven patients (26%) were overweight or obese. Sixty-three of these patients (51%) were symptomatic, with the most common symptom being fever (55%). Ultimately, 45 patients (31%) required admission to the hospital, with a median duration of hospitalization of 9.6 days for admitted patients. There were no documented cases of infection-related mortality among this pediatric cohort, although 11 patients experienced post-infectious complications that primarily manifested as a loss of taste and smell. Conclusion: These findings suggest that pediatric COVID-19 patients tend to experience mild forms of the disease, without any significant differences in disease severity as a function of patient gender or immune status.

Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review.

The worldwide health crisis caused by the SARS-Cov-2 virus has resulted in>3 million deaths so far. Improving early screening, diagnosis and prognosis of the disease are critical steps in assisting healthcare professionals to save lives during this pandemic. Since WHO declared the COVID-19 outbreak as a pandemic, several studies have been conducted using Artificial Intelligence techniques to optimize these steps on clinical settings in terms of quality, accuracy and most importantly time. The objective of this study is to conduct a systematic literature review on published and preprint reports of Artificial Intelligence models developed and validated for screening, diagnosis and prognosis of the coronavirus disease 2019. We included 101 studies, published from January 1st, 2020 to December 30th, 2020, that developed AI prediction models which can be applied in the clinical setting. We identified in total 14 models for screening, 38 diagnostic models for detecting COVID-19 and 50 prognostic models for predicting ICU need, ventilator need, mortality risk, severity assessment or hospital length stay. Moreover, 43 studies were based on medical imaging and 58 studies on the use of clinical parameters, laboratory results or demographic features. Several heterogeneous predictors derived from multimodal data were identified. Analysis of these multimodal data, captured from various sources, in terms of prominence for each category of the included studies, was performed. Finally, Risk of Bias (RoB) analysis was also conducted to examine the applicability of the included studies in the clinical setting and assist healthcare providers, guideline developers, and policymakers.

A case series and literature review of multiple sclerosis and COVID-19: Clinical characteristics, outcomes and a brief review of immunotherapies.

BACKGROUND: In view of the emerging coronavirus pandemic, the demand for knowledge about the impact of SARS-CoV-2 on people with Multiple Sclerosis (MS) continues to grow. Patients receiving disease modifying therapy (DMT) for MS have a higher background risk of infection-related health care utilization when compared to the general population. Therefore, there is a need of evidence-based recommendations to reduce the risk of infection and also managing MS patients with SARS-CoV-2. CASE DESCRIPTION: We present three patients with history of Multiple Sclerosis (MS) on DMTs presenting with worsening MS symptoms likely pseudo exacerbation who were diagnosed with COVID-19. DISCUSSION: An extensive review of 7 articles was performed, in addition to a brief review on DMTs use in MS patients with COVID-19. In our cases, all patients were on DMT and severe course of disease was noted in 2 cases. No fatality was observed. CONCLUSIONS: This review provides a base on the clinical characteristics, outcomes and the roles of DMTs in MS patients suffering from n-cov-2. Physicians need to be vigilant about considering COVID-19 infection related relapse in the MS patients, especially in this COVID-19 pandemic era and look for pseudo-exacerbation. As most cases are found to have mild course and full recovery on DMTs, further research is needed to formulate evidence-based guidelines. This review will particularly be helpful for the researchers and registries to collect future data on MS and COVID-19.