Publications by authors named "Allan F Simpao"

In this issue of Journal of Medical Systems, Neri et al. share results from their study in which they compared the YouCare device to a standard Holter monitor. The wearable used in the study incorporates a single electrocardiogram lead in a crop top garment that is customized for each patient.

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When pediatric anesthesia emergencies occur, situations can deteriorate rapidly. At our hospital, the Society for Pediatric Anesthesia's (SPA) emergency algorithms are used as cognitive aids during crises, and nurses are tasked with accessing the algorithms. Operating room nurses' typical workflow includes continuous display of the of the electronic health record (EHR) intraoperative navigator, which can delay navigating to the virtual desktop window and the algorithms' icon.

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Background: Alexander disease is a rare, progressive leukodystrophy, which predisposes patients to complications under general anesthesia due to clinical manifestations including developmental delay, seizures, dysphagia, vomiting, and sleep apnea. However, study of anesthetic outcomes is limited.

Aims: Our aim was to describe patient characteristics, anesthetic techniques, and anesthesia-related complications for Alexander disease patients undergoing magnetic resonance imaging and/or lumbar puncture at a quaternary-care children's hospital.

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Social media has rapidly developed in the past decade to become a powerful and influential force for patients, physicians, health systems, and the academic community. While the use of social media in health care has produced many positive changes, such as rapid dissemination of information, crowd-sourced sharing of knowledge, learning, and social interaction, social media in health care has also negative effects. Recent examples of negative impacts of social media include rapid and unchecked information dissemination leading to patient misinformation and inadvertent reputational harm for health care professionals due to engaging in controversial topics on public platforms.

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Introduction: Neonates have a high incidence of respiratory and cardiac perioperative events. Disease severity and indications for surgical intervention often dovetail with an overall complex clinical course and predispose these infants to adverse long-term neurodevelopmental outcomes and increased length of stay. Our aims were to describe severe and nonsevere early postoperative complications to establish a baseline of care outcomes and to identify subgroups of surgical neonates and procedures for future prospective studies.

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Objectives: Pediatric emergence delirium is an undesirable outcome that is understudied. Development of a predictive model is an initial step toward reducing its occurrence. This study aimed to apply machine learning (ML) methods to a large clinical dataset to develop a predictive model for pediatric emergence delirium.

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Introduction: Micrognathic neonates are at risk for upper airway obstruction, and many require intubation in the delivery room. Ex-utero intrapartum treatment is one technique for managing airway obstruction but poses substantial maternal risks. Procedure requiring a second team in the operating room is an alternative approach to secure the obstructed airway while minimizing maternal risk.

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Article Synopsis
  • The review aimed to assess which EEG-based machine learning models, specifically Random Forest and Convolutional Neural Networks, had the highest effectiveness in predicting neurologic outcomes after cardiac arrest.
  • It involved a systematic search of medical and engineering literature, identifying 17 relevant studies and extracting key EEG features used in these models.
  • The results showed that Random Forest had an AUC range of 0.8 to 0.97 and was the most common conventional ML model, while combining EEG features with electronic health record data could enhance predictive performance.
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The coronavirus pandemic has raised public awareness of one of the many hazards that healthcare workers face daily: exposure to harmful pathogens. The anaesthesia workplace encompasses the operating room, interventional radiology suite, and other sites that contain many other potential occupational and environmental hazards. This review article highlights the work-based hazards that anaesthesiologists and other clinicians may encounter in the anaesthesia workplace: ergonomic design, physical, chemical, fire, biological, or psychological hazards.

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Background: Children undergoing complex cardiac surgery are exposed to substantial cumulative doses of sedative medications and volatile anesthetics and are more frequently anesthetized with ketamine, compared with healthy children. This study hypothesized that greater exposure to sedation and anesthesia in this population is associated with lower neurodevelopmental scores at 18 months of age.

Methods: A secondary analysis was conducted of infants with congenital heart disease who participated in a prospective observational study of environmental exposures and neurodevelopmental outcomes to assess the impact of cumulative volatile anesthetic agents and sedative medications.

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Introduction: Fetoscopic selective laser photocoagulation (FSLPC) and selective cord occlusion with radiofrequency ablation (RFA) can improve fetal outcomes when vascular anastomoses between fetuses cause twin-to-twin transfusion syndrome (TTTS) or selective fetal growth restriction (sFGR) in multiple gestation pregnancies with monochorionic placentation. This study analyzed perioperative maternal-fetal complications and anesthetic management in a high-volume fetal therapy center over a 4-year period.

Methods: Included patients received MAC for minimally invasive fetal procedures for complex multiple gestation pregnancies between January 1, 2015, and September 20, 2019.

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Background: COVID-19 forced healthcare systems to make unprecedented changes in clinical care processes. The authors hypothesized that the COVID-19 pandemic adversely impacted timely access to care, perioperative processes, and clinical outcomes for pediatric patients undergoing primary appendectomy.

Methods: A retrospective, international, multicenter study was conducted using matched cohorts within participating centers of the international PEdiatric Anesthesia COVID-19 Collaborative (PEACOC).

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Background: The induction of anesthesia in children poses a challenge for the anesthesiologist, the parent and child. Anxiety and negative behaviours and strategies that effectively mitigate should be documented accurately and be available for future patient encounters. To address the need for a structured and standardized electronic documentation tool.

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Congenital heart disease (CHD) is one of the most common birth anomalies. While the care of children with CHD has improved over recent decades, children with CHD who undergo general anesthesia remain at increased risk for morbidity and mortality. Electronic health record systems have enabled institutions to combine data on the management and outcomes of children with CHD in multicenter registries.

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Surgical treatment of craniosynostosis with cranial vault reconstruction in infants is associated with significant blood loss. The optimal blood management approach is an area of active investigation. Thromboelastography (TEG) was used to examine changes in coagulation after surgical blood loss that was managed by transfusion with either whole blood or blood components.

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Objectives: To develop and evaluate a high-dimensional, data-driven model to identify patients at high risk of clinical deterioration from routinely collected electronic health record (EHR) data.

Materials And Methods: In this single-center, retrospective cohort study, 488 patients with single-ventricle and shunt-dependent congenital heart disease <6 months old were admitted to the cardiac intensive care unit before stage 2 palliation between 2014 and 2019. Using machine-learning techniques, we developed the Intensive care Warning Index (I-WIN), which systematically assessed 1028 regularly collected EHR variables (vital signs, medications, laboratory tests, and diagnoses) to identify patients in the cardiac intensive care unit at elevated risk of clinical deterioration.

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