Iowa Methodist Medical Center

Identifying and treating pediatric arrhythmias is essential for pediatric anesthesiologists. Pediatric patients can present with narrow or wide complex tachycardias, though the former is more common. Patients with inherited channelopathies or cardiomyopathies are at increased risk. Since most pediatric patients present for anesthesia without a baseline electrocardiogram, the first identification of an arrhythmia may occur under general anesthesia. Supraventricular tachycardia, the most common pediatric tachyarrhythmia, represents a broad category of predominately narrow complex tachycardias. Stimulating events including intubation, vascular guidewire manipulation, and surgical stimulation can trigger episodes. Valsalva maneuvers are unreliable as treatment, making adenosine or other intravenous antiarrhythmics the preferred acute therapy. Reentrant tachycardias are the most common supraventricular tachycardia in pediatric patients, including atrioventricular reciprocating tachycardia (due to a distinct accessory pathway) and atrioventricular nodal reentrant tachycardia (due to an accessory pathway within the atrioventricular node). Patients with ventricular preexcitation, often referred to as Wolff-Parkinson-White syndrome, have a wide QRS with short PR interval, indicating antegrade conduction through the accessory pathway. These patients are at risk for sudden death if atrial fibrillation degenerates into ventricular fibrillation over a high-risk accessory pathway. Automatic tachycardias, such as atrial tachycardia and junctional ectopic tachycardia, are causes of supraventricular tachycardia in pediatric patients, the latter most typically noted after cardiac surgery. Patients with inherited arrhythmia syndromes, such as congenital long QT syndrome, are at risk of developing ventricular arrhythmias such as polymorphic ventricular tachycardia (Torsades de Pointes) which can be exacerbated by QT prolonging medications. Patients with catecholaminergic polymorphic ventricular tachycardia are at particular risk for developing bidirectional ventricular tachycardia or ventricular fibrillation during exogenous or endogenous catecholamine surges. Non-selective beta blockers are first line for most forms of long QT syndrome as well as catecholaminergic polymorphic ventricular tachycardia. Anesthesiologists should review the impact of medications on the QT interval and transmural dispersion of repolarization, to limit increasing the risk of Torsades de Pointes in patients with long QT syndrome. This review explores the key anesthetic considerations for these arrhythmias.

Background: The internet is essential for social interaction, information acquisition, and entertainment. The internet has a vast amount of knowledge that is accessible with only a click. For a student of today, it is horrifying to consider academic or research activity without internet. However, the indiscriminate use of the internet by individuals, especially students, may hamper their academic performance and quality of life. This study aimed to measure the extent of internet use among undergraduate medical students.
 Methods: This cross-sectional study was performed among 926 undergraduate medical students and interns from nine medical colleges of Bangladesh, who were selected using the convenience sampling method. The extent of internet use was assessed by the duration of internet use for academic and non-academic purposes, as well as the Internet Addiction Test (IAT) developed by Kimberly Young.
 Results: This study revealed that the mean (SD) hours of internet use for academic purposes, non-academic purposes and total duration of internet use were 2.34 (±1.991), 3.74 (±2.413) and 6.08 (±3.124 respectively. Additionally, 39.3%, 33%, and 2.3% of students had mild, moderate, and severe levels of internet addiction, respectively.
 Conclusion: The results of this study indicate that a substantial proportion of undergraduate medical students are spending a considerable amount of time on the internet, with a majority using it for more than 3 hours per day on average. Moreover, a significant portion of these students demonstrated varying levels of internet addiction.
 BJME, Volume-15, Issue-01, January 2024: 12-24

Artificial intelligence (AI) has impacted many areas of healthcare. AI in healthcare uses machine learning, deep learning, and natural language processing to analyze copious amounts of healthcare data and yield valuable outcomes. In the sleep medicine field, a large amount of physiological data is gathered compared to other branches of medicine. This field is primed for innovations with the help of AI. A good quality of sleep is crucial for optimal health. About one billion people are estimated to have obstructive sleep apnea worldwide, but it is difficult to diagnose and treat all the people with limited resources. Sleep apnea is one of the major contributors to poor health. Most of the sleep apnea patients remain undiagnosed. Those diagnosed with sleep apnea have difficulty getting it optimally treated due to several factors, and AI can help in this situation. AI can also help in the diagnosis and management of other sleep disorders such as insomnia, hypersomnia, parasomnia, narcolepsy, shift work sleep disorders, periodic leg movement disorders, etc. In this manuscript, we aim to address three critical issues about the use of AI in sleep medicine: (1) How can AI help in diagnosing and treating sleep disorders? (2) How can AI fill the gap in the care of sleep disorders? and (3) What are the ethical and legal considerations of using AI in sleep medicine?

Background: Azithromycin is a commonly prescribed antibiotic included in many first-line regimens for pneumonia. Azithromycin also carries an FDA warning for increased risk for abnormal cardiac electrical activity, including QTc prolongation. Objective: To examine the effect of intravenous azithromycin on the QT interval in a cohort of patients receiving antibiotic therapy for community acquired pneumonia. Methods: A single-center, retrospective chart review of patients admitted to the Intensive Care Unit (ICU). The primary endpoint was change in QTc 48-72 hours after antibiotic initiation. The primary outcome was analyzed using ANOVA matched comparison. Results: Between 6/1/2019 and 3/31/2020, 241 total ICU patients received doses of either antibiotic. After application of exclusion criteria, the total number of patients included in analysis was 93, including 75 azithromycin patient and 18 doxycycline patients. The baseline QTc in the azithromycin group was 449 (95% CI 438-461) and the 72-hour QTc was 442 (95% CI 427-453) with an average change in QTc of -4 ms (P = .14). No statistically significant difference was found in QTc interval change between azithromycin and doxycycline. Conclusion: In this study, azithromycin use was not associated with a statistically significant increase in QTc interval. Based on these results, for the majority of patients receiving azithromycin, QTc prolongation is not likely a major concern. However, caution may still be warranted in patients considered high risk.

Neonatal gentamicin dosing algorithms are not designed to achieve serum trough concentrations ≤1 mcg/mL. The purpose of our study was to evaluate a new gentamicin algorithm based on serum creatinine (SCr) and gestational age (GA) designed to achieve serum gentamicin trough concentrations ≤1 mcg/mL. A retrospective cohort study was conducted in a level IIIB neonatal intensive care unit. The incidence of elevated serum gentamicin troughs for this study was compared with the center's previously published results to evaluate the proposed dosing algorithm. Patients were included if gentamicin was administered within the first 7 days of life and a serum gentamicin trough concentration and a baseline SCr concentration were obtained. Patients were further subdivided into groups based on GA for data analysis: ≤30 weeks (group 1), 30-34 weeks (group 2), and ≥35 weeks (group 3). The SCr was considered mildly elevated (0.81-0.99 mg/dL) or elevated (≥1 mg/dL). The respective outcomes between the post-algorithm and control groups were examined using intention-to-treat analysis and Bayesian modeling to calculate rate differences. Of the 2377 patients evaluated, 366 met the inclusion criteria. Significantly lower percentages of elevated serum gentamicin troughs were noted in groups 2 and 3 subsequent to the implementation of the dosing algorithm with 16% and 15% lower rate differences, respectively. Regardless of GA, there were significantly fewer elevated serum troughs in the post-implementation groups than in the control with mildly elevated and elevated SCr p < 0.001. Using a dosing algorithm based on SCr significantly reduced the number of elevated serum trough rates in neonates with a GA greater than 30 weeks.

Background: Status epilepticus (SE) is a neurologic emergency that can result in serious morbidity and mortality. Recent studies have suggested underdosing of both benzodiazepines (BZDs) and antiseizure medications (ASM) which may result in poorer outcomes. Objectives: This study aims to determine the dose of BZDs and levetiracetam given in our emergency department for episodes of SE and determine the outcomes associated with this dosing. Methods: We conducted a retrospective cohort study of all adult patients with SE admitted to our hospital from 2017 to 2020. We collected demographic data, type of SE, dose of BZD and levetiracetam, and outcomes which included mortality and a calculated Glasgow outcome scale (GOS). We compared outcomes of patients with SE who received adequate dosing (according to practice guidelines) to those who did not. Results: 111 adult patients were included of whom 91% were seen initially in our emergency department. 75% had convulsive SE on presentation. Approximately 55% and 68% of patients did not receive an appropriate dose of BZD or levetiracetam, respectively. Inadequate dosing of BZD was associated with worse clinical outcomes based on GOS (43.6% favorable outcome vs 62.5% with adequate dosing P = .046 (95% CI, 1.01–4.60)) and inadequate dosing of both drugs was also associated with a worse GOS outcome (HR, 2.91 (95% CI, 1.05–9.67, P = .02). No difference was found in length of stay or mortality alone. Conclusion: Our study found inadequate dosing of drugs to treat SE in adults was common in our institution and was associated with worse outcomes.

BackgroundSeverity of disease and outcomes in patient with COVID-19 has been associated with several risk factors tied to the metabolic syndrome.AimsWe conducted a study with the objective of describing the association between the baseline Fibrosis-4 (FIB-4) index prior to SARS-CoV-2 infection and the severity of COVID-19 among patients at risk of non-alcoholic fatty liver disease (NAFLD).MethodsThis was a retrospective cohort study of patients with at least two risk factors for metabolic syndrome diagnosed with COVID-19. The main exposure of interest was FIB-4 index prior to infection, categorized into three previously validated age-specific levels. The main outcomes of interest were disease requiring hospitalization and in-hospital mortality.ResultsWe included 373 patients [median age, 62 years; 194 male (52%); median number of metabolic syndrome risk factors, 3]. The median FIB-4 index was 1.10 (interquartile range 0.78–1.61). In models adjusting for diabetes mellitus and chronic kidney disease, patients with intermediate FIB-4 index had 67% higher odds of hospitalization compared to those in the low category {odds ratio (OR) 1.67 [(95% CI 1.06–2.64); p = 0.03]} and patients with high FIB-4 index had higher odds of mortality compared to intermediate and low category with an OR 2.22 (95% CI 1.20–4.12; p = 0.01). However, when we evaluated components of FIB-4 (age and AST/ALT ratio), we found that age alone was the best predictor of hospitalization and mortality.ConclusionsAmong patients at risk of NAFLD with COVID-19 infection, elevated pre-infection FIB-4 index was associated with worsened clinical outcomes, but age was the strongest predictor.Supplementary InformationThe online version contains supplementary material available at 10.1007/s10620-021-07120-0.