Publications by authors named "P P Polyakov"

Objective: To systematically evaluate the impact of the Trendelenburg position on hemodynamic parameters in adult patients.

Design: Systematic literature review and meta-analysis using PubMed and Medline.

Setting: All prospective interventional studies comparing the hemodynamic characteristics of patients in the horizontal supine position and Trendelenburg position.

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Article Synopsis
  • Machine learning (ML) is increasingly important for predicting sepsis, a critical condition where timely intervention is crucial; this study explores the effectiveness of ML models in clinical settings.
  • Researchers analyzed 73 studies involving nearly 458,000 patients and found that ML models, particularly Neural Networks and Decision Trees, performed better than traditional scoring systems, achieving a pooled AUC of 0.825.
  • The study emphasizes the need for standardized practices in reporting and validating ML models to enhance their clinical application and effectiveness in predicting sepsis across diverse patient populations.
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Article Synopsis
  • The study focuses on improving the treatment of cancers in children by exploring metabolic markers for early detection of complications.
  • It involved three patient groups: healthy children, children with various cancers without complications, and those with complications such as infections.
  • Key findings showed that children with cancer had significant metabolic issues and that certain biomarkers like procalcitonin and presepsin were effective in predicting the risk of sepsis early on.
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Background: Breast cancer (BC) mortality primarily stems from metastases rather than the primary tumor itself. Perioperative stress, encompassing both surgical and anesthetic factors, profoundly impacts the immune system, leading to alterations in neuroendocrine pathways and immune functions, potentially facilitating tumor progression and metastasis. Understanding the immunomodulatory effects of different anesthesia techniques is crucial for optimizing perioperative care in patients with BC.

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Background: Postoperative delirium (POD) significantly affects patient outcomes after surgery, leading to increased morbidity, extended hospital stays, and potential long-term cognitive decline. This study assessed the predictive value of intraoperative electroencephalography (EEG) patterns for POD in adults.

Methods: This systematic review and meta-analysis followed the PRISMA and Cochrane Handbook guidelines.

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