Predicting Severe Respiratory Failure in Patients with COVID-19: A Machine Learning Approach.

Studies attempting to predict the development of severe respiratory failure in patients with a COVID-19 infection using machine learning algorithms have yielded different results due to differences in variable selection. We aimed to predict the development of severe respiratory failure, defined as the need for high-flow oxygen support, continuous positive airway pressure, or mechanical ventilation, in patients with COVID-19, using machine learning algorithms to identify the most important variables in achieving this prediction. This retrospective, cross-sectional study included COVID-19 patients with mild respiratory failure (mostly receiving oxygen through a mask or nasal cannula).

The Relationship between Hepatic High FIB-4 Score and COVID-19 Pneumonia.

Background: We aimed to compare the level of hepatic FIB-4 scores between COVID-19 patients who had pneumonia and COVID-19 patients who had no pneumonia in an attempt to develop a risk assessment after the treatment and recovery of active COVID-19 infection.

Methods: The study included 80 patients who were consecutively selected and admitted to an internal medicine outpatient clinic for a control examination after COVID-19 infection. Chest tomography was performed on all patients during the COVID-19 infection.

Platelet to lymphocyte ratio is associated with tumor localization and outcomes in metastatic colorectal cancer.

The aim of this study was to investigate the predictive and prognostic value of PLR, and the relationship between PLR and tumor localization.A total of 229 patients with de-novo metastatic CRC were retrospectively analyzed. The cutoff value for PLR was defined by the receiver operating characteristic (ROC) curve analysis and threshold value of 196.

Prognostic significance of primary tumor localization in patients with metastatic colorectal cancer: Is it beneficial to select targeted treatment? Real-life experience from Turkey.

Purpose: The purpose of this study was to investigate the prognostic value,and the effect of primary tumor location on targeted therapy selection in patients with metastatic colorectal cancer (mCRC).

Methods: A total of 201 patients with de novo mCRC who received first line treatment were retrospectively analyzed. Clinicopathological features, treatment outcomes, the primary tumor surgery, metastasectomies/local therapies and survivals were evaluated in terms of both RAS mutation status and primary tumor sidedness.

Combined Metabolic Activators Accelerates Recovery in Mild-to-Moderate COVID-19.

COVID-19 is associated with mitochondrial dysfunction and metabolic abnormalities, including the deficiencies in nicotinamide adenine dinucleotide (NAD ) and glutathione metabolism. Here it is investigated if administration of a mixture of combined metabolic activators (CMAs) consisting of glutathione and NAD+ precursors can restore metabolic function and thus aid the recovery of COVID-19 patients. CMAs include l-serine, N-acetyl-l-cysteine, nicotinamide riboside, and l-carnitine tartrate, salt form of l-carnitine.