Cardiovascular and Renal Comorbidities Included into Neural Networks Predict the Outcome in COVID-19 Patients Admitted to an Intensive Care Unit: Three-Center, Cross-Validation, Age- and Sex-Matched Study.

Here, we performed a multicenter, age- and sex-matched study to compare the efficiency of various machine learning algorithms in the prediction of COVID-19 fatal outcomes and to develop sensitive, specific, and robust artificial intelligence tools for the prompt triage of patients with severe COVID-19 in the intensive care unit setting. In a challenge against other established machine learning algorithms (decision trees, random forests, extra trees, neural networks, k-nearest neighbors, and gradient boosting: XGBoost, LightGBM, and CatBoost) and multivariate logistic regression as a reference, neural networks demonstrated the highest sensitivity, sufficient specificity, and excellent robustness. Further, neural networks based on coronary artery disease/chronic heart failure, stage 3-5 chronic kidney disease, blood urea nitrogen, and C-reactive protein as the predictors exceeded 90% sensitivity and 80% specificity, reaching AUROC of 0.866 at primary cross-validation and 0.849 at secondary cross-validation on virtual samples generated by the bootstrapping procedure. These results underscore the impact of cardiovascular and renal comorbidities in the context of thrombotic complications characteristic of severe COVID-19. As aforementioned predictors can be obtained from the case histories or are inexpensive to be measured at admission to the intensive care unit, we suggest this predictor composition is useful for the triage of critically ill COVID-19 patients.

Physiological status of broiler chickens with diets supplemented with milk thistle extract.

BACKGROUND AND AIM: In recent decades, the use of various feed supplements is the current trend in poultry farming, among which phytogenics serve as alternatives to feed antibiotics. This study aimed to examine the effect of feeding various doses of milk thistle extract (Silybum marianum) on the morphological and biochemical parameters of the blood in broiler chickens. MATERIALS AND METHODS: Experiments were carried out in an industrial poultry farm on broiler chickens of the Hubbard ISA F15 cross for 40 days. One control group and five experimental groups of day-old chickens were formed. The number of birds in each group was 50. Broilers of all groups received complete feed, and the experimental groups received an additional milk thistle extract at doses of 0.1, 0.5, 1.0, 1.5, and 2.0 mg/kg of body weight. Milk thistle medicinal plant extract was obtained using water-ethanol extraction followed by low-temperature vacuum drying. For the assessment of blood analyses, samples were collected from the wing vein of six chickens per group. Using unified methods recommended by the International Federation of Clinical Chemistry, the content of red blood cells, hemoglobin, white blood cells, total protein, protein fractions, triglycerides, glucose, calcium, phosphorus, and the concentration of alanine aminotransferase and aspartate aminotransferase in the blood serum were determined. RESULTS: It was found that the introduction of milk thistle extract into the diet of broiler chickens with the aforementioned doses increased the number of red blood cells, hemoglobin, white blood cells in the blood, as well as a decrease in the level of albumin and an increase in the content of γ-globulins in its serum. CONCLUSION: The authors assume that the introduction of milk thistle extract into a complete feed for broiler chickens increased the anabolic processes in their bodies, accompanied by increased use of proteins of the albumin fraction as the main material for organogenesis.