Role of 2-Deoxy-D-Glucose in Enhancing the Efficacy of Standard of Care for Moderate to Severe COVID-19: A Comparative Analysis of Clinical Outcomes.

Objective This study aimed to evaluate the role of 2-Deoxy-D-Glucose (2-DG) in moderate to severe Coronavirus Disease 2019 (COVID-19) cases. Methodology This study retrospectively analyzed the effects of 2-DG alongside Standard of Care (SOC) for moderate to severe COVID-19 in 150 patients. Eligible patients were aged 18-65, with confirmed COVID-19, who met clinical criteria for moderate or severe illness.

Blood Culture Contamination Rate as a Quality Indicator - a Prospective Observational Study.

Blood culture test is the gold standard test to diagnose bloodstream infections, but contamination is the main problem in this valuable test. False positive results in blood cultures are mainly due to contamination that occurs mostly during pre-analytical procedures like sample collection and sometimes during sample processing. Our prospective observational study was undertaken at St.

Nipah amidst Covid-19 Pandemic, another Re-Emerging Infectious Disease of Pandemic Potential - a Narrative Review.

Nipah virus (NiV) was reported for the first time from the Kampung Sungai Nipah village of Malaysia in 1998. Since then, there have been multiple outbreaks, all of them in South- and South-East Asia. According to the World Health Organization (WHO), up to 75% of Nipah infections were proven to be fatal.

Integrating Artificial Intelligence for Clinical and Laboratory Diagnosis - a Review.

The development of medical artificial intelligence (AI) is related to programs intended to help clinicians formulate diagnoses, make therapeutic decisions and predict outcomes. It is bringing a paradigm shift to healthcare, powered by the increasing availability of healthcare data and rapid progress in analytical techniques (1). Artificial intelligence techniques include machine learning methods for structured data, such as classical support vector machines and neural networks, modern deep learning (DL), and natural language processing for unstructured data.

Vector-Borne Diseases amidst COVID-19 Pandemic in India - A Mini-Review.

Vector-borne diseases are infections caused by parasites, viruses and bacteria and transmitted by vectors, which are usually insects. A greater risk of diseases such as dengue, malaria, seasonal influenza, leptospirosis, chikungunya, enteric fever, etc co-exist in COVID-19 cases. This poses challenges in clinical and laboratory diagnosis of COVID-19, which may affect clinical management and patient outcomes.

Screening of Asymptomatic Healthcare Workers for SARS-COV-2 for Occult Infections: A Cross-Sectional Study.

Introduction The SARS-CoV-2 illness (COVID-19) has spread around the world, primarily through person-to-person transmission, and is a serious public health concern. Based on the severity of illness symptoms, SARS-CoV-2 infection can be classified as either apparent or occult. To date, real-time reverse transcription polymerase chain reaction (RT-PCR) on respiratory specimens, particularly nasopharyngeal and oropharyngeal swabs, or nasopharyngeal wash or aspirate, has been the gold standard for the identification of COVID-19.