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Objective The present study retrospectively ascertained whether liposomal bupivacaine (LB) injected subcutaneously after median sternotomy incisions in pediatric cardiac surgery patients is as efficacious as the ON-Q PainBuster pump (ON-Q) (Avonas Medical, Alpharetta, GA). Design Retrospective cohort comparison. Setting Pediatric hospital. Participants Cardiac surgery patients who were treated with LB for elective cardiac surgery. Interventions Patients received 4 mg/kg of LB admixed with 0.25% bupivacaine and 0.9% normal saline. These patients were compared with an age- and procedure-matched control group of similar size treated with the ON-Q pump (continuous infusion 0.25% bupivacaine via subcutaneous catheter). Total analgesics used and route, other analgesics or sedatives, and pain scores (first 24 hours and cumulative) were tracked for 96 hours after surgery. Measurements and Main Results A total of 222 patients were equally divided between the two groups. Overall, the median (interquartile range) age was 6.5 (3.8-12.7) years. Unadjusted analysis suggested that patients in the LB group were administered a significantly higher dose of intravenous acetaminophen (77.4 v 60.0 mg/kg; p Conclusions LB is at least as effective as the ON-Q is for providing analgesia after median sternotomy incision in children.

Background The Humpty Dumpty Falls Prevention Program was developed to address an unmet need to identify pediatric patients at risk of a fall event. Purpose The aim of this study was to evaluate the performance of the Humpty Dumpty Fall Scale-Inpatient (HDFS) across a diverse, international pediatric population. In addition, the characteristics of patients who experienced a fall were analyzed. Methods A retrospective, cross-sectional design was used to assess fall risk across 16 hospitals and 2238 pediatric patients. Multiple and simple logistic regressions were performed to evaluate association of individual scale items and total score with falls during hospitalization. Reliability, sensitivity, and specificity of the HDFS were also assessed. Results Several of the HDFS items were significantly associated with the risk of falls in the pediatric population, but specificity of the tool is a concern to consider for future tool enhancement. Conclusions Characteristics for further refinement of the HDFS were identified.

Background Pediatric central nervous system (CNS) infections are potentially life-threatening and may incur significant morbidity. Identifying a pathogen is important, both in terms of guiding therapeutic management and in characterizing prognosis. Usual care testing by culture and polymerase chain reaction is often unable to identify a pathogen. We examined the systematic application of metagenomic next-generation sequencing (mNGS) for detecting organisms and transcriptomic analysis of cerebrospinal fluid (CSF) in children with central nervous system (CNS) infections. Methods We conducted a prospective multisite study that aimed to enroll all children with a CSF pleocytosis and suspected CNS infection admitted to 1 of 3 tertiary pediatric hospitals during the study timeframe. After usual care testing had been performed, the remaining CSF was sent for mNGS and transcriptomic analysis. Results We screened 221 and enrolled 70 subjects over a 12-month recruitment period. A putative organism was isolated from CSF in 25 (35.7%) subjects by any diagnostic modality. Metagenomic next-generation sequencing of the CSF samples identified a pathogen in 20 (28.6%) subjects, which were also all identified by usual care testing. The median time to result was 38 hours. Conclusions Metagenomic sequencing of CSF has the potential to rapidly identify pathogens in children with CNS infections., We examined the utility of next-generation sequencing in comparison to usual care in detecting a pathogenic organism in children with central nervous system infections.

Children may visit the emergency department (ED) regularly in part because they and their caregivers may be experiencing barriers to appropriate and timely pediatric care. However, assessing the wide range of potential barriers to access to care that children and their caregivers may experience is often a challenge. The objective of this study was to assess the barriers to pediatric health care reported by caregivers and to examine the association between those reported barriers to care with the frequency of children's ED visits in the past 12 months. Assessment of ED utilization and access to care barriers was made through a telephone interview survey conducted as part of a broader Community Health Needs Assessment in 2015. A weighted community sample of adult caregivers (N = 1057) of children between the ages of 0–17 residing in Miami-Dade, Broward, and Palm Beach counties, Florida were contacted. This study found that multiple ED visits (≥2 vs. 0) in the past 12 months by a child were most strongly associated with access to care barriers attributed to language and culture (relative risk [RR] = 2.51), trouble finding a doctor (RR = 1.86), scheduling an appointment (RR = 1.68), and transportation access (RR = 1.73). These findings suggest that access to care barriers experienced by households may exacerbate the risk of a child experiencing repeated visits to the ED in a year. Findings are discussed further in the context of actionable population health management strategies to reduce risk of frequent ED utilization by children.

This cross-sectional study assesses potential opportunities for genotype-guided prescribing in pediatric populations among multiple health systems by examining the prevalence of prescriptions for each drug with the highest level of evidence and estimating the prevalence of potentially actionable prescribing decisions., Key Points Question What is the opportunity for genotype-guided prescribing among pediatric patients in the US? Findings In this serial cross-sectional study of annual prescribing data at 16 health systems representing approximately 2.9 million pediatric patients per year from 2011 to 2017, the annual prevalence of exposure to at least 1 Clinical Pharmacogenetics Implementation Consortium level A drug ranged from 7987 to 10 629 per 100 000 pediatric patients, with increasing prevalence before reaching a plateau in 2014. The medications with the highest potential for actionability were analgesics (oxycodone, codeine, and tramadol), the antiemetic ondansetron, and antidepressants (citalopram, escitalopram, and amitriptyline). Meaning These findings suggest that ample opportunity exists for genotype-guided prescribing among pediatric patients in the US, especially for drugs metabolized by CYP2D6 or CYP2C19., Importance Genotype-guided prescribing in pediatrics could prevent adverse drug reactions and improve therapeutic response. Clinical pharmacogenetic implementation guidelines are available for many medications commonly prescribed to children. Frequencies of medication prescription and actionable genotypes (genotypes where a prescribing change may be indicated) inform the potential value of pharmacogenetic implementation. Objective To assess potential opportunities for genotype-guided prescribing in pediatric populations among multiple health systems by examining the prevalence of prescriptions for each drug with the highest level of evidence (Clinical Pharmacogenetics Implementation Consortium level A) and estimating the prevalence of potential actionable prescribing decisions. Design, Setting, and Participants This serial cross-sectional study of prescribing prevalences in 16 health systems included electronic health records data from pediatric inpatient and outpatient encounters from January 1, 2011, to December 31, 2017. The health systems included academic medical centers with free-standing children’s hospitals and community hospitals that were part of an adult health care system. Participants included approximately 2.9 million patients younger than 21 years observed per year. Data were analyzed from June 5, 2018, to April 14, 2020. Exposures Prescription of 38 level A medications based on electronic health records. Main Outcomes and Measures Annual prevalence of level A medication prescribing and estimated actionable exposures, calculated by combining estimated site-year prevalences across sites with each site weighted equally. Results Data from approximately 2.9 million pediatric patients (median age, 8 [interquartile range, 2-16] years; 50.7% female, 62.3% White) were analyzed for a typical calendar year. The annual prescribing prevalence of at least 1 level A drug ranged from 7987 to 10 629 per 100 000 patients with increasing trends from 2011 to 2014. The most prescribed level A drug was the antiemetic ondansetron (annual prevalence of exposure, 8107 [95% CI, 8077-8137] per 100 000 children). Among commonly prescribed opioids, annual prevalence per 100 000 patients was 295 (95% CI, 273-317) for tramadol, 571 (95% CI, 557-586) for codeine, and 2116 (95% CI, 2097-2135) for oxycodone. The antidepressants citalopram, escitalopram, and amitriptyline were also commonly prescribed (annual prevalence, approximately 250 per 100 000 patients for each). Estimated prevalences of actionable exposures were highest for oxycodone and ondansetron (>300 per 100 000 patients annually). CYP2D6 and CYP2C19 substrates were more frequently prescribed than medications influenced by other genes. Conclusions and Relevance These findings suggest that opportunities for pharmacogenetic implementation among pediatric patients in the US are abundant. As expected, the greatest opportunity exists with implementing CYP2D6 and CYP2C19 pharmacogenetic guidance for commonly prescribed antiemetics, analgesics, and antidepressants.

OBJECTIVES: Accurately predicting and reducing risk of unplanned readmissions (URs) in pediatric care remains difficult. We sought to develop a set of accurate algorithms to predict URs within 3, 7, and 30 days of discharge from inpatient admission that can be used before the patient is discharged from a current hospital stay. METHODS: We used the Children’s Hospital Association Pediatric Health Information System to identify a large retrospective cohort of 1 111 323 children with 1 321 376 admissions admitted to inpatient care at least once between January 1, 2016, and December 31, 2017. We used gradient boosting trees (XGBoost) to accommodate complex interactions between these predictors. RESULTS: In the full cohort, 1.6% of patients had at least 1 UR in 3 days, 2.4% had at least 1 UR in 7 days, and 4.4% had at least 1 UR within 30 days. Prediction model discrimination was strongest for URs within 30 days (area under the curve [AUC] = 0.811; 95% confidence interval [CI]: 0.808–0.814) and was nearly identical for UR risk prediction within 3 days (AUC = 0.771; 95% CI: 0.765–0.777) and 7 days (AUC = 0.778; 95% CI: 0.773–0.782), respectively. Using these prediction models, we developed a publicly available pediatric readmission risk scores prediction tool that can be used before or during discharge planning. CONCLUSIONS: Risk of pediatric UR can be predicted with information known before the patient’s discharge and that is easily extracted in many electronic medical record systems. This information can be used to predict risk of readmission to support hospital-discharge–planning resources.

Background In pediatric cardiac anesthesiology, there is increased focus on minimizing morbidity, ensuring optimal functional status, and using health care resources sparingly. One aspect of care that has potential to affect all of the above is postoperative mechanical ventilation. Historically, postoperative ventilation was considered a must for maintaining patient stability. Ironically, it is recognized that mechanical ventilation may increase risk of adverse outcomes in the postoperative period. Hence, many institutions have advocated for immediate extubation or early extubation after many congenital heart surgeries which was first reported decades ago. Methods 637 consecutive patient charts were reviewed for pediatric patients undergoing cardiac surgery with cardiopulmonary bypass. Patients were placed into three groups. Those that were extubated in the operating room (OR) at the conclusion of surgery (Immediate Extubation or IE), those that were extubated within six hours of admission to the ICU (Early Extubation or EE) and those that were extubated sometime after six hours (Delayed Extubation or DE). Multiple variables were then recorded to see which factors correlated with successful Immediate or Early Extubation. Results Overall, 338 patients (53.1%) had IE), 273 (42.8%) had DE while only 26 patients (4.1%) had EE. The median age was 1174 days for the IE patients, 39 days for the DE patients, whereas 194 days for EE patients (p p p p > 63,826.88 Conclusions Immediate and early extubation was significantly associated with several factors, including patient age and size, duration of CPB, use of certain anesthetic drugs, and the amount of blood loss and blood replacement. IE can be successfully accomplished in a majority of pediatric patients undergoing surgery for congenital heart disease, including in a minority of infants.

The advent of digital, electronic, and molecular technologies has allowed the study of complete genomes. Integrating this information into drug development has opened the door for pharmacogenomic (PGx) interventions in direct patient care. PGx allows clinicians to better identify drug of choice and optimize dosing regimens based on an individual’s genetic characteristics. Integrating PGx into pediatric care is a priority for the Sanford Children’s Genomic Medicine Consortium, a partnership of ten children’s hospitals across the US committed to the innovation and advancement of genomics in pediatric care. In this white paper, we review the current state of PGx research and its clinical utility in pediatrics, a largely understudied population, and make recommendations for advancing cutting-edge practice in pediatrics.

Introduction Rotational thromboelastometry (ROTEM) has been shown to reduce the need for transfused blood products in adult and pediatric cardiac surgery patients. However, similar evidence in newborns, neonates, and young infants is lacking. We quantified ROTEM value changes in pediatric patients on cardiopulmonary bypass (CPB) before, during and after blood product transfusion. Methods Each surgery had at least four interventions: initiating CPB; platelet administration during rewarming phase; post-CPB and following protamine and human fibrinogen concentrate (HFC) administration; and further component therapy if bleeding persisted and ROTEM indicated a deficiency. ROTEM assays were performed prior to surgery commencement, on CPB prior to platelet administration and following 38 mL/kg platelets, and post-CPB after protamine and HFC administration. ROTEM assays were also performed in the post-CPB period after further blood component therapy administration. Results Data from 161 patients were analyzed. Regression models suggested significant changes in HEPTEM clotting time after all interventions. PLT administration during CPB improved HEPTEM α by 22.1° (p

This study evaluated whether rotational thromboelastometry (ROTEM; Tem International GmbH, Munich, Germany) FIBTEM maximum clot firmness (MCF) can be used to predict plasma fibrinogen level in pediatric patients undergoing cardiac surgery. Linear regression was conducted to predict plasma fibrinogen level using FIBTEM MCF (0.05 level of significance). Scatter plot with the regression line for the model fit was created. Fifty charts were retrospectively reviewed, and 87 independent measurements of FIBTEM MCF paired with plasma fibrinogen levels were identified for analysis. Linear regression analysis suggested a significant positive linear relationship ( P < .0001) between plasma fibrinogen levels and MCF. Both MCF intercept and slope were significantly correlated with fibrinogen level ( P < .0001). The estimated regression equation (predicted fibrinogen = 78.6 + 12.4 × MCF) indicates that a 1-mm increase in MCF raises plasma fibrinogen level by an average of 12.4 mg/dL. The statistically significant positive linear relationship observed between MCF and fibrinogen levels ( P < .001) suggests that MCF can be used as a surrogate for fibrinogen level. This relationship is of clinical relevance in the calculation of patient-specific dosing of fibrinogen supplementation in this setting.

Background Pediatric central nervous system (CNS) infections are potentially life-threatening and may incur significant morbidity. Identifying a pathogen is important, both in terms of guiding therapeutic management, but also in characterizing prognosis. However, standard care testing by culture, serology, and PCR is often unable to identify a pathogen. We examined use of next generation sequencing (NGS) of cerebrospinal fluid (CSF) in detecting an organism in children with CNS infections. Methods We prospectively enrolled children with CSF pleocytosis and suspected CNS infection admitted to 3 tertiary pediatric hospitals. After standard care testing had been performed, the remaining CSF was submitted for analysis by NGS. Results We enrolled 70 subjects over a 12-month recruitment period. A putative organism was isolated from CSF in 24 (34.3%) subjects by any diagnostic modality. NGS of the CSF samples identified a pathogen in 20 (28.6%) subjects. False positive results by NGS were identified in 2 patients. There were no cases in which NGS alone identified a pathogen. In 4 cases, a putative organism was recovered by standard care testing of the CSF, but not by CSF NGS. CSF culture recovered a putative organism in 12 cases (12.1%). A CSF PCR multiplex panel was utilized for 51 subjects. An organism was detected in 15 of these (29.4%). Using a reference composite of standard care testing, we determined the sensitivity and specificity of CSF NGS to be 83.3% (95% CI, 62.6–95.3%) and 91.3% (95% CI, 79.2–97.6%) respectively. Conclusion Sequencing of CSF has the potential to rapidly and comprehensively identify infection with a single test. Further studies are needed to determine the optimal use of NGS for diagnosis of CNS infections. Disclosures All Authors: No reported disclosures

Purpose: Women with human papilloma virus (HPV) associated cervical neoplasia have a higher risk of developing breast cancer than the general female population. The purpose of this study was to (i) identify high risk for cancer HPVs in cervical neoplasia and subsequent HPV positive breast cancers which developed in the same patients and (ii) determine if these HPVs were biologically active. Methods: A range of polymerase chain reaction (PCR) and immunohistochemical techniques were used to conduct a retrospective cohort study of cervical precancers and subsequent breast cancers in the same patients. Results: The same high risk HPV types were identified in both the cervical and breast specimens in 13 (46%) of 28 patients. HPV type 18 was the most prevalent. HPVs appeared to be biologically active as demonstrated by the expression of HPV E7 proteins and the presence of HPV associated koilocytes. The average age of these patients diagnosed with breast cancer following prior cervical precancer was 51 years, as compared to 60 years for all women with breast cancer (p for difference = 0.001). Conclusions: These findings indicate that high risk HPVs can be associated with cervical neoplasia and subsequent young age breast cancer. However these associations are unusual and are a very small proportion of breast cancers. These outcomes confirm and extend the observations of 2 similar previous studies and offer one explanation for the increased prevalence of serious invasive breast cancer among young women.

Purpose: Human papillomaviruses (HPV) may have a role in some breast cancers. The purpose of this study is to fill important gaps in the evidence. These gaps are: (i) confirmation of the presence of high risk for cancer HPVs in breast cancers, (ii) evidence of HPV infections in benign breast tissues prior to the development of HPV positive breast cancer in the same patients, (iii) evidence that HPVs are biologically active and not harmless passengers in breast cancer.Methods: RNA-seq data from The Cancer Genome Atlas (TCGA) was used to identify HPV RNA sequences in breast cancers. We also conducted a retrospective cohort study based on polymerase chain reaction (PCR) analyses to identify HPVs in archival specimens from Australian women with benign breast biopsies who later developed breast cancer. To assess whether HPVs in breast cancer were biologically active, the expression of the oncogenic protein HPV E7 was assessed by immunohistochemistry (IHC).Results: Thirty (3.5%) low risk and 20 (2.3%) high risk HPV types were identified in 855 breast cancers from the TCGA data base. The high risk types were HPV 18 (48%), HPV 113 (24%), HPV 16 (10%), HPV 52 (10%). Data from the PCR cohort study, indicated that HPV type 18 was the most common type identified in breast cancer specimens (55% of 40 breast cancer specimens) followed by HPV 16 (13%). The same HPV type was identified in both the benign and subsequent breast cancer in 15 patients. HPV E7 proteins were identified in 72% of benign breast specimens and 59% of invasive breast cancer specimens.Conclusions: There were 4 observations of particular interest: (i) confirmation by both NGS and PCR of the presence of high risk HPV gene sequences in breast cancers, (ii) a correlation between high risk HPV in benign breast specimens and subsequent HPV positive breast cancer in the same patient, (iii) HPVs in breast cancer are likely to be biologically active (as shown by transcription of HPV DNA to RNA plus the expression of HPV E7 proteins), (iv) HPV oncogenic influences may occur early in the development of breast cancer.

SummaryThe clinical efficacy of a systemically administered drug acting on the central nervous system depends on its ability to pass the blood-brain barrier, which is regulated by transporter molecules such as ABCB1 (MDR1). Here we report that polymorphisms in the ABCB1 gene predict the response to antidepressant treatment in those depressed patients receiving drugs that have been identified as substrates of ABCB1 using abcb1ab double-knockout mice. Our results indicate that the combined consideration of both the medication's capacity to act as an ABCB1-transporter substrate and the patient's ABCB1 genotype are strong predictors for achieving a remission. This finding can be viewed as a further step into personalized antidepressant treatment.