Burnout among Postgraduate Healthcare Trainees at a Tertiary Healthcare Center in Saudi Arabia.

Objectives: The aim of this study was to investigate the level of burnout among postgraduate healthcare trainees at a tertiary care center in Riyadh, Saudi Arabia, and assess the need to establish a well-being program.

Methods: This cross-sectional study was conducted between December 2021 and January 2022 and used two validated questionnaires: the Copenhagen Burnout Inventory (CBI) for assessing burnout among postgraduate healthcare trainees, and a questionnaire for assessing program directors' opinion on the need for a well-being program.

Results: A total of 386 trainees and 85 program directors completed the questionnaire.

The outcome of high-frequency oscillatory ventilation in pediatric patients with acute respiratory distress syndrome in an intensive care unit.

Background: In adults with acute respiratory distress syndrome (ARDS), high-frequency oscillatory ventilation (HFOV) has been associated with higher mortality rates. Therefore, its use in children with ARDS is still controversial.

Objectives: Evaluate the overall mortality of HFOV in children with ARDS and explore mortality-related risk factors; compare the outcome of using HFOV post-endotracheal intubation early (≤24 hours) versus late (≤24 hours).

Cardiopulmonary outcomes following high flow nasal cannula in pediatric population: A systematic review.

Background: The high-flow nasal cannula (HFNC) has received much attention in various clinical settings and has been approved recently for application in pediatric care.

Objectives: To determine whether HFNC use improves cardiopulmonary outcomes in pediatric patients with the cardiac disease more effectively than alternative oxygen therapies.

Methods: Systematic review was performed using PubMed, Scopus, and Web of Science databases.

Assessing Pediatric Inter-Hospital Transfer: A single-center, Retrospective, Observational Study of Saudi Arabia's National Life-Saving Protocol.

Objective: To examine the accuracy of our national Life-Saving Protocol (LSP). To the best of our knowledge, this is the first study addressing this issue in Saudi Arabia.

Background: LSP was created to facilitate triaging patients with LIFE or LIMB threatening conditions in peripheral hospitals with limited services to large regional hospitals to receive definitive care.

System, Space, Staff, and Stuff framework in establishing a new pediatric critical care unit (PICU) (4S Framework).

By virtue of being in a developing country with ongoing expanding of the healthcare system, establishing or at least renovating a Pediatric critical care unit (PICU) has become a necessity. As intensivists and healthcare providers, we excel at our job as clinicians; however, we perform less than perfect when it comes to participating in establishing new PICUs and deliberately building and designing an EBM and patient-centered PICU with a complete understanding of the technical and non-clinical processes during commissioning or operational phases like construction, physical layout (blueprint), Biomedical engineering aspects, equipment, supply, and work-environment enhancement. If all healthcare providers -and especially intensivists- avoid being involved actively in PICUs designing process at their institution, they will miss an opportunity to gain a new perspective as well as they might contribute to a fragmented process of ICU design and a suboptimal result that might impact the PICU environment, patient journey and eventually the quality of care in that ICU.

Plant health index as an anomaly detection tool for oil refinery processes.

Early detection of significant abnormal changes is highly desirable for oil refinery processes, which consist of sophisticated unit operations handling hazardous and flammable inventories and operating at high temperature and pressure. Close monitoring and anomaly detection are vital for avoiding major accidents and losses and enable intervention before failure occurrence. A new big data analytics tool called Plant Health Index (PHI) is proposed in this work.

Impact of an electronic alert system for pediatric sepsis screening a tertiary hospital experience.

This study aimed to assess the potential impact of implementing an electronic alert system (EAS) for systemic inflammatory syndrome (SIRS) and sepsis in pediatric patients mortality. This retrospective study had a pre and post design. We enrolled patients aged ≤ 14 years who were diagnosed with sepsis/severe sepsis upon admission to the pediatric intensive care unit (PICU) of our tertiary hospital from January 2014 to December 2018.

Building a planter system using waste materials using value engineering environmental assessment.

Environmental challenges are significant threats to the planet; most of them are human-made hazards. Researchers are studying various environmental threats and trying to flourish sustainable policy for protecting the environment from various challenges worldwide. In Kuwait, researchers are paying attention to these various challenges and trying to reduce these issues in the most effective, economically innovative, and localized ways.

On the accuracy of ARIMA based prediction of COVID-19 spread.

COVID-19 was declared a global pandemic by the World Health Organization in March 2020, and has infected more than 4 million people worldwide with over 300,000 deaths by early May 2020. Many researchers around the world incorporated various prediction techniques such as Susceptible-Infected-Recovered model, Susceptible-Exposed-Infected-Recovered model, and Auto Regressive Integrated Moving Average model (ARIMA) to forecast the spread of this pandemic. The ARIMA technique was not heavily used in forecasting COVID-19 by researchers due to the claim that it is not suitable for use in complex and dynamic contexts.

A study on the efficiency of the estimation models of COVID-19.

Today, the world is fighting against a dangerous epidemic caused by the novel coronavirus, also known as COVID-19. All have been impacted and countries are trying to recover from the social, economic, and health devastations of COVID-19. Recent epidemiology research has concentrated on using different prediction models to estimate the numbers of infected, recovered, and deceased cases around the world.