Effect of ginseng on fatigue related to neuromyelitis optica spectrum disorder: A double-blinded randomized controlled clinical trial.

Background: The effects of ginseng on fatigue have been proven in patients with multiple sclerosis (MS), which have several similar manifestations to neuromyelitis optica spectrum disorder (NMOSD) patients. This study was designed to evaluate the effects of ginseng on fatigue in NMOSD patients. Methods: In this double-blinded randomized controlled clinical trial, 64 patients were recruited and were allocated into two study groups (ginseng or placebo) via block randomization. The participants received either 250-mg ginseng or placebo twice daily for a 3-month period. Also, the measurement of outcome was performed using the valid and reliable Persian version of fatigue severity scale (FSS) questionnaire, which was filled by patients once after enrollment in the study and once at the end of the study post-intervention. Results: In total, 58 patients finished the study with no major side effects. There were no significant differences in demographic, clinical, as well as FSS between two study groups (p>0.05). Ginseng supplementation significantly reduced fatigue (40.21±13.51 vs. 28.97±14.18; p˂0.01), while patients in the placebo group showed significantly higher fatigue score after 3 months post-intervention (35.03±13.51 vs. 38.79±12.27; P: 0.02). The extent of changes in the fatigue score in the ginseng group was significantly greater than in the placebo group (p ˂0.01). Conclusion: This study revealed positive effects of ginseng on reducing fatigue in NMOSD patients with no major side effects. In this regard, further studies are warranted to evaluate and clarify the effects of ginseng on fatigue in NMOSD.

Systemic Inflammatory Index Is a Novel Predictor of Intubation Requirement and Mortality after SARS-CoV-2 Infection.

Coronavirus disease 2019 (COVID-19), with an increasing number of deaths worldwide, has created a tragic global health and economic emergency. The disease, caused by severe acute respiratory syndrome coronavirus 2019 (SARS-CoV-19), is a multi-system inflammatory disease with many of COVID-19-positive patients requiring intensive medical care due to multi-organ failures. Biomarkers to reliably predict the patient's clinical cause of the virus infection, ideally, to be applied in point of care testing or through routine diagnostic approaches, are highly needed. We aimed to probe if routinely assessed clinical lab values can predict the severity of the COVID-19 course. Therefore, we have retrospectively analyzed on admission laboratory findings in 224 consecutive patients from four hospitals and show that systemic immune inflammation index (SII) is a potent marker for predicting the requirement for invasive ventilator support and for worse clinical outcome of the infected patient. Patients' survival and severity of SARS-CoV-2 infection could reliably be predicted at admission by calculating the systemic inflammatory index of individual blood values. We advocate this approach to be a feasible and easy-to-implement assay that may be particularly useful to improve patient management during high influx crisis. We believe with this work to contribute to improving infrastructure availability and case management associated with COVID-19 pandemic hurdles.