Publications by authors named "Ravi R Yadav"

Background: Micronutrients such as vitamin B12 and D have recently gained attention for their potential roles in male reproductive health. Despite their significance, there's a critical gap in understanding their association with male infertility, particularly concerning suboptimal semen parameters. This study aimed to address this knowledge gap by examining serum vitamin B12 and D levels in infertile males, providing insights that could inform targeted interventions for couples facing male infertility challenges.

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Background: Cardiometabolic disorders, notably primary hypertension and type 2 diabetes, present substantial global health challenges. The intricate interplay between metabolic and cardiovascular pathways has prompted extensive research into molecular mechanisms linking these conditions. The adipokine Retinol Binding Protein 4 (RBP4), initially recognized for retinol transport, has emerged as a potential biomarker in the network of metabolic and cardiovascular dysfunction.

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Article Synopsis
  • Discharge date prediction is essential for efficient healthcare management, helping with resource allocation and improving patient care by providing accurate estimates for when patients will leave the hospital.
  • The study developed a prediction model using machine learning (XGBoost) and collaborated with clinical experts to gather relevant data, which was integrated into an Electronic Medical Record system for practical use.
  • The model improved prediction accuracy significantly, reducing excess hospital days by nearly 19%, highlighting its effectiveness for enhancing healthcare resource management and patient outcomes, with recommendations for future research on its long-term applicability.
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Background: Sepsis is a life-threatening condition caused by a dysregulated response to infection, affecting millions of people worldwide. Early diagnosis and treatment are critical for managing sepsis and reducing morbidity and mortality rates.

Materials And Methods: A systematic design approach was employed to build a model that predicts sepsis, incorporating clinical feedback to identify relevant data elements.

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Purpose: The purpose of this study was to compare health outcomes for patients receiving acute care in their homes through a Hospital at Home (HaH) program to outcomes for inpatients in the traditional hospital setting.

Patients And Methods: We compared outcomes for patients in a HaH program at Virtua Health in 2022 (N = 271) to traditional inpatients during the same year (N = 13,776) with the same diagnoses. We defined outcomes as recommendations for subacute rehabilitation (SAR) upon discharge as this recommendation indicates the need for additional therapy based on a physician's assessment of the patient.

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