Background: The aim of the study was to document cardiovascular clinical findings, cardiac imaging and laboratory markers in children presenting with the novel multisystem inflammatory syndrome (MIS-C) associated with COVID-19 infection. Methods: A real-time internet-based survey endorsed by the Association for European Paediatric and Congenital Cardiologists (AEPC) Working Groups for Cardiac Imaging and Cardiovascular Intensive Care. Inclusion criteria was children 0-18 years admitted to hospital between February 1 and June 6, 2020 with diagnosis of an inflammatory syndrome and acute cardiovascular complications. Results: A total of 286 children from 55 centers in 17 European countries were included. The median age was 8.4 years (IQR 3.8-12.4 years) and 67% were males. The most common cardiovascular complications were shock, cardiac arrhythmias, pericardial effusion and coronary artery dilatation. Reduced left ventricular ejection fraction was present in over half of the patients and a vast majority of children had raised cardiac troponin (cTnT) when checked. The biochemical markers of inflammation were raised in majority of patients on admission: elevated CRP, serum ferritin, procalcitonin, NT-proBNP, IL-6 level and D-dimers. There was a statistically significant correlation between degree of elevation in cardiac and biochemical parameters and need for intensive care support (p <0.05). Polymerase chain reaction (PCR) for SARS-CoV-2 was positive in 33.6% while IgM and IgG antibodies were positive in 15.7% and IgG 43.6 % cases, respectively when checked. One child died in the study cohort. Conclusions: Cardiac involvement is common in children with multisystem inflammatory syndrome associated with Covid-19 pandemic. A majority of children have significantly raised levels of NT pro-BNP, ferritin, D-dimers and cardiac troponin in addition to high CRP and procalcitonin levels. Compared to adults with Covid-19, mortality in children with MIS-C is uncommon despite multi-system involvement, very elevated inflammatory markers and need for intensive care support.
Background Therapeutic management of epilepsy remains a challenge, since optimal systemic antiseizure medication (ASM) concentrations do not always correlate with improved clinical outcome and minimal side effects. We tested the feasibility of noninvasive real-time breath metabolomics as an extension of traditional therapeutic drug monitoring for patient stratification by simultaneously monitoring drug-related and drug-modulated metabolites. Methods This proof-of-principle observational study involved 93 breath measurements of 54 paediatric patients monitored over a period of 2.5 years, along with an adult’s cohort of 37 patients measured in two different hospitals. Exhaled breath metabolome of epileptic patients was measured in real time using secondary electrospray ionisation–high-resolution mass spectrometry (SESI–HRMS). Results We show that systemic ASM concentrations could be predicted by the breath test. Total and free valproic acid (VPA, an ASM) is predicted with concordance correlation coefficient (CCC) of 0.63 and 0.66, respectively. We also find (i) high between- and within-subject heterogeneity in VPA metabolism; (ii) several amino acid metabolic pathways are significantly enriched (p < 0.01) in patients suffering from side effects; (iii) tyrosine metabolism is significantly enriched (p < 0.001), with downregulated pathway compounds in non-responders. Conclusions These results show that real-time breath analysis of epileptic patients provides reliable estimations of systemic drug concentrations along with risk estimates for drug response and side effects.
Background The number of obese pediatric patients requiring anesthesia is rapidly increasing. Although fentanyl is a commonly used narcotic during surgery, there is no pharmacokinetic (PK) data available for optimal dosing of fentanyl in adolescents with clinically severe obesity. Materials and Methods An IRB-approved exploratory pilot study was conducted in 6 adolescents aged 14 to 19 years undergoing bariatric surgery. Mean total body weight (TBW) and mean BMI were 137.4 ± 14.3 kg, and 49.6 ± 6.4 kg/m2 (99.5th BMI percentile), respectively. Fentanyl was dosed intravenously for intraoperative analgesia based on ideal body weight per standard of care. PK blood samples were drawn over a 24 hour post-dose period. Fentanyl PK parameters were calculated by non-compartmental analysis. Results Mean fentanyl AUC0–∞ was 1.5 ± 0.5 h*ng/mL. Systemic clearance of fentanyl was 1522 ± 310 mL/min and 11.2 ± 2.6 mL/min*kg TBW. Volume of distribution was 635 ± 282 L and 4.7 ± 2.1 L/kg TBW. While absolute clearance was increased, absolute volume of distribution was comparable to previously established adult values. Conclusions These results suggest that fentanyl clearance is enhanced in adolescents with clinically severe obesity while volume of distribution is comparable to previously published studies.
Obesity represents one of the most important public health issues according to the World Health Organization. Additionally, in a recent National Health and Nutrition Survey of 2011-2012, approximately 17 % of children and adolescents in the United States were considered obese. The obesity rate is higher within the adolescent age group as compared to preschool children. Childhood obesity is particularly problematic, because the co-morbid disease states which accompany obesity may require frequent pharmacotherapy and/ or surgical intervention. Despite the potential for increased pharmacotherapy among obese patients, there is a paucity of dosing guidelines for this special population. Optimal drug dosing in obese pediatric patients has not been sufficiently explored as the present data available are mostly specific for obese adults. In this review, we present an overview concerning what is currently known about the pharmacokinetics and pharmacogenetics of frequently used drugs including midazolam, fentanyl and its newer derivatives, morphine, ketamine, acetaminophen, dexmedetomidine and enoxaparin in obese adolescents undergoing bariatric surgery. We will also summarize the current dosing recommendations of anesthetic drugs in bariatric anesthesia.
Fentanyl and its derivatives sufentanil, alfentanil, and remifentanil are potent opioids. A comprehensive review of the use of fentanyl and its derivatives in the pediatric population was performed using the National Library of Medicine PubMed. Studies were included if they contained original pharmacokinetic parameters or models using established routes of administration in patients younger than 18 years of age. Of 372 retrieved articles, 44 eligible pharmacokinetic studies contained data of 821 patients younger than 18 years of age, including more than 46 preterm infants, 64 full-term neonates, 115 infants/toddlers, 188 children, and 28 adolescents. Underlying diagnoses included congenital heart and pulmonary disease and abdominal disorders. Routes of drug administration were intravenous, epidural, oral-transmucosal, intranasal, and transdermal. Despite extensive use in daily clinical practice, few studies have been performed. Preterm and term infants have lower clearance and protein binding. Pharmacokinetics was not altered by chronic renal or hepatic disease. Analyses of the pooled individual patients' data revealed that clearance maturation relating to body weight could be best described by the Hill function for sufentanil (R 2 = 0.71, B max 876 mL/min, K 50 16.3 kg) and alfentanil (R 2 = 0.70, B max (fixed) 420 mL/min, K 50 28 kg). The allometric exponent for estimation of clearance of sufentanil was 0.99 and 0.75 for alfentanil clearance. Maturation of remifentanil clearance was described by linear regression to bodyweight (R 2 = 0.69). The allometric exponent for estimation of remifentanil clearance was 0.76. For fentanyl, linear regression showed only a weak correlation between clearance and bodyweight in preterm and term neonates (R 2 = 0.22) owing to a lack of data in older age groups. A large heterogeneity regarding study design, clinical setting, drug administration, laboratory assays, and pharmacokinetic estimation was observed between studies introducing bias into the analyses performed in this review. A limitation of this review is that pharmacokinetic data, based on different modes of administration, dosing schemes, and parameter estimation methods, were combined.The online version of the original article can be found under
Sodium channel 2 subunit α (SCN2A) mutations cause difficult‐to‐treat early‐onset epilepsy. Effective treatment includes high‐dose phenytoin or carbamazepine ± ketogenic diet (KD). We describe an infant with early‐onset SCN2A‐epilepsy with subtherapeutic carbamazepine concentration during transition from phenytoin treatment to avoid long‐term neurotoxicity. The transition from high‐dose phenytoin (20 mg kg−1 d−1, concentration: ≥20 mg/L) with KD, to carbamazepine (50–75 mg kg−1 d−1, concentration: 9–12 mg/L) lasted 85 days, which we suspected was due to significant drug–drug and/or drug–food interactions. Model‐based analysis of carbamazepine pharmacokinetics quantified significant time‐ and dose‐dependent phenytoin‐mediated CYP3A4 induction and carbamazepine concentration‐dependent auto‐induction (apparent clearance increased up to 2.5/3‐fold). Lower carbamazepine concentrations under KD were modelled as decreased relative bioavailability (44%), potentially related to decreased fraction absorbed (unexpected for this lipophilic drug), increased intestinal/hepatic metabolism and/or decreased protein‐binding with KD. This suggests importance of carbamazepine‐concentration monitoring during KD‐introduction/removal and necessity of high carbamazepine doses to achieve therapeutic concentrations, especially in infants treated with high‐dose phenytoin.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.