Natural history of burnout, stress, and fatigue in a pediatric resident cohort over three years.

BACKGROUND: Burnout is known to be high amongst physician trainees. Factors such as stress, fatigue, social environment, and resilience could affect burnout. Cross-sectional data describe burnout in pediatric residents, but the trajectory of burnout in a cohort of residents followed longitudinally through the full course of residency training has not been reported. We prospectively examined the prevalence and trajectory of burnout, stress, fatigue, social connectedness, and resilience in a pediatric resident cohort from orientation through three years of residency. The cohort (N = 33) was surveyed six times between 2015-2018 using the Abbreviated Maslach Burnout Inventory (AMBI), Perceived Stress Scale (PSS), Epworth Sleepiness Scale (ESS), Social Connectedness Scale-Revised (SCS-R), and Connor-Davidson Resilience Scale (CD-RISC10). Data were analyzed using repeated measures mixed effects models. Significant change from baseline was considered to be adjusted p < 0.05. Response rate was >50% at each timepoint; 69% of trainees completed surveys ≥4 times. Scores were significantly worse than baseline in all surveys, at every timepoint, with the exception of AMBI-PA (personal accomplishment) at the PGY1/PGY2 transition and SCS-R and CD-RISC10 at the end of training. The most significant changes from baseline occurred mid-PGY1 to mid-PGY2. At least 65% of residents demonstrated worse scores than baseline on 36/40 (90%) follow-up surveys. Furthermore, ≥65% met criteria for emotional exhaustion and moderate stress at every timepoint. SCS-R was the only survey measure to improve at residency completion compared to baseline. CONCLUSION: Within 6 months of starting residency this pediatric resident cohort became burned out, stressed, fatigued, less socially connected, and less resilient. Burnout is only one factor that indicates impaired resident well-being. To fully address this, a comprehensive examination of how residents are trained is needed to identify effective interventions. ABBREVIATIONS: MBI - Maslach Burnout Inventory; AMBI - Abbreviated Maslach Burnout Inventory; AMBI-EE - Emotional Exhaustion; AMBI-D - Depersonalization; AMBI-PA - Personal Accomplishment; AMBI-SAT - Satisfaction with Medicine; LCH - Ann & Robert H. Lurie Children's Hospital of Chicago/Lurie Children's Hospital; P/CN - Pediatrics/Child Neurology; PSS - Perceived Stress Scale; ESS - Epworth Sleepiness Scale; CD-RISC10 - Resilience; SCS-R - Social Connectedness Scale Revised; PGY - Post-Graduate Year.

Low prevalence of clinical decision support to calculate caloric and fluid intake for infants in the neonatal intensive care unit.

BACKGROUND: Clinical decision support (CDS) improves nutrition delivery for infants in the neonatal intensive care unit (NICU), however, the prevalence of CDS to support nutrition is unknown. METHODS: Online surveys, with telephone and email validation of responses, were administered to NICU clinicians in the Children's Hospital Neonatal Consortium (CHNC). We determined and compared the availability of CDS to calculate calories and fluid received in the prior 24 h, stratified by enteral and parenteral intake, using McNemar's test. RESULTS: Clinicians at all 34 CHNC hospitals responded with 98 of 108 (91%) surveys completed. NICUs have considerably less CDS to calculate enteral calories received than enteral fluid received (32% vs. 82%, p < 0.001) and less CDS to calculate parenteral calories received than parenteral fluid received (29% vs. 82%, p < 0.001). DISCUSSION: Most CHNC NICUs are unable to reliably and consistently monitor caloric intake delivered to critically ill infants at risk for growth failure.

Impact of Elagolix on Workplace and Household Productivity Among Women with Moderate to Severe Pain Associated with Endometriosis: A Pooled Analysis of Two Phase III Trials.

BACKGROUND: Endometriosis profoundly impairs women's workplace and household productivity. OBJECTIVE: The aim of this study was to evaluate the impact of elagolix on endometriosis-related workplace and household productivity losses. METHODS: Data were pooled from two phase III trials of women aged 18-49 years with moderate to severe endometriosis-associated pain treated for 6 months with elagolix 150 mg daily (QD), 200 mg twice daily (BID), or placebo. The Health-Related Productivity Questionnaire was administered at baseline, Month 3, and Month 6 to determine workplace and household absenteeism and presenteeism. Productivity changes from baseline were compared between placebo and elagolix doses via analysis of covariance. RESULTS: Workplace analyses included 1270 employed women and household analyses included 1565 women. At baseline, women reported average weekly losses of 16 workplace hours, 8.3 household work hours, 45% of scheduled work, and 64% of planned household chores. At Month 6, treatment with elagolix 150 mg QD or 200 mg BID increased productive workplace hours by 1.7 (95% CI 0.1-3.4; p = 0.041) and 5.4 h (95% CI 3.7-7.1; p < 0.001) relative to placebo, corresponding to gains of 5.2% (95% CI 0.7-9.7; p = 0.022) and 14.6% (95% CI 10.0-19.1; p < 0.001) of scheduled work, respectively. Both elagolix doses improved household productivity at Month 6 by 1.7 (95% CI 0.7-2.7) and 3.1 (95% CI 2.1-4.0) hours relative to placebo (both p < 0.001), with increases of 8.8% (95% CI 3.5-14.1; p = 0.001) and 20.4% (95% CI 15.1-25.6; p < 0.001) of planned household work. CONCLUSIONS: Treatment with elagolix improved endometriosis-related workplace and household productivity impairments. TRIAL REGISTRATION: ELARIS EM-I (NCT01620528) and ELARIS EM-II (NCT01931670).

Ideal vs. real: a systematic review on handling covariates in randomized controlled trials.

BACKGROUND: In theory, efficient design of randomized controlled trials (RCTs) involves randomization algorithms that control baseline variable imbalance efficiently, and corresponding analysis involves pre-specified adjustment for baseline covariates. This review sought to explore techniques for handling potentially influential baseline variables in both the design and analysis phase of RCTs. METHODS: We searched PubMed for articles indexed "randomized controlled trial", published in the NEJM, JAMA, BMJ, or Lancet for two time periods: 2009 and 2014 (before and after updated CONSORT guidelines). Upon screening (343), 298 articles underwent full review and data abstraction. RESULTS: Typical articles reported on superiority (86%), multicenter (92%), two-armed (79%) trials; 81% of trials involved covariates in the allocation and 84% presented adjusted analysis results. The majority reported a stratified block method (69%) of allocation, and of the trials reporting adjusted analyses, 91% were pre-specified. Trials published in 2014 were more likely to report adjusted analyses (87% vs. 79%, p = 0.0100) and more likely to pre-specify adjustment in analyses (95% vs. 85%, p = 0.0045). Studies initiated in later years (2010 or later) were less likely to use an adaptive method of randomization (p = 0.0066; 7% of those beginning in 2010 or later vs. 31% of those starting before 2000) but more likely to report a pre-specified adjusted analysis (p = 0.0029; 97% for those initiated in 2010 or later vs. 69% of those started before 2000). CONCLUSION: While optimal reporting procedures and pre-specification of adjusted analyses for RCTs tend to be progressively more prevalent over time, we see the opposite effect on reported use of covariate-adaptive randomization methods.

Ideal and Actual Impact of Rapid Diagnostic Testing and Antibiotic Stewardship on Antibiotic Prescribing and Clinical Outcomes in Children With Positive Blood Cultures.

BACKGROUND: Implementing matrix-assisted laser desorption ionization-time of flight and multiplex polymerase chain reaction has been associated with decreased mortality and hospital length of stay in adults, but the impact in pediatrics is less understood. METHODS: This pre-post quasi-experimental study compared antibiotic prescribing for positive blood cultures in patients ≤21 years of age collected in 2012 (preintervention) and in 2015 (after matrix-assisted laser desorption ionization-time of flight/multiplex polymerase chain reaction). Time to effective and optimal antimicrobial therapy was evaluated using Cox proportional hazards regression. Time to ideal optimal therapy was estimated as the earliest potential initiation of optimal therapy. Antibiotic use and clinical outcomes were measured. RESULTS: There were 242 and 192 positive monomicrobial blood cultures in 2012 and 2015, respectively. Postintervention, time to optimal therapy (73.8 vs. 48.8 hours; P < 0.001) and organism identification (55.6 vs. 29.5 hours; P < 0.001) were reduced, and patients were more likely to receive optimal therapy by 7 days (hazard ratio, 1.85; P < 0.001). In the ideal scenario in 2015, there was an 8.8-hour delay in initiating optimal therapy based on the time that sufficient microbiologic data were available. Postintervention, time to effective therapy (2.8 vs. 2.7 hours; P = 0.782) and clinical outcomes did not differ. Unnecessary antibiotic duration for probable contaminants (skin flora) (43.1 vs. 29.7 hours; P = 0.027), vancomycin for methicillin-sensitive Staphylococcus aureus (54.0 vs. 41.3 hours; P = 0.008) and nonpenicillin/ampicillin antibiotics for group A Streptococcus, group B Streptococcus and Enterococcus faecalis (87.2 vs. 33.4 hours; P < 0.001) were reduced postintervention. CONCLUSIONS: Rapid diagnostics reduced time to optimal antimicrobial therapy and unnecessary antibiotic use without worse clinical outcomes.

A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Identification of Efficient and Cost-Effective Methods for Decision Making (Part 2).

BACKGROUND: The ability to successfully recruit participants for electronic health (eHealth) clinical trials is largely dependent on the use of efficient and effective recruitment strategies. Determining which types of recruitment strategies to use presents a challenge for many researchers. OBJECTIVE: The aim of this study was to present an analysis of the time-efficiency and cost-effectiveness of recruitment strategies for eHealth clinical trials, and it describes a framework for cost-effective trial recruitment. METHODS: Participants were recruited for one of 5 eHealth trials of interventions for common mental health conditions. A multipronged recruitment approach was used, including digital (eg, social media and Craigslist), research registry-based, print (eg, flyers and posters on public transportation), clinic-based (eg, a general internal medicine clinic within an academic medical center and a large nonprofit health care organization), a market research recruitment firm, and traditional media strategies (eg, newspaper and television coverage in response to press releases). The time costs and fees for each recruitment method were calculated, and the participant yield on recruitment costs was calculated by dividing the number of enrolled participants by the total cost for each method. RESULTS: A total of 777 participants were enrolled across all trials. Digital recruitment strategies yielded the largest number of participants across the 5 clinical trials and represented 34.0% (264/777) of the total enrolled participants. Registry-based recruitment strategies were in second place by enrolling 28.0% (217/777) of the total enrolled participants across trials. Research registry-based recruitment had a relatively high conversion rate from potential participants who contacted our center for being screened to be enrolled, and it was also the most cost-effective for enrolling participants in this set of clinical trials with a total cost per person enrolled at US $8.99. CONCLUSIONS: On the basis of these results, a framework is proposed for participant recruitment. To make decisions on initiating and maintaining different types of recruitment strategies, the resources available and requirements of the research study (or studies) need to be carefully examined.

A Practical Do-It-Yourself Recruitment Framework for Concurrent eHealth Clinical Trials: Simple Architecture (Part 1).

BACKGROUND: The ability to identify, screen, and enroll potential research participants in an efficient and timely manner is crucial to the success of clinical trials. In the age of the internet, researchers can be confronted with large numbers of people contacting the program, overwhelming study staff and frustrating potential participants. OBJECTIVE: This paper describes a "do-it-yourself" recruitment support framework (DIY-RSF) that uses tools readily available in many academic research settings to support remote participant recruitment, prescreening, enrollment, and management across multiple concurrent eHealth clinical trials. METHODS: This work was conducted in an academic research center focused on developing and evaluating behavioral intervention technologies. A needs assessment consisting of unstructured individual and group interviews was conducted to identify barriers to recruitment and important features for the new system. RESULTS: We describe a practical and adaptable recruitment management architecture that used readily available software, such as REDCap (Research Electronic Data Capture) and standard statistical software (eg, SAS, R), to create an automated recruitment framework that supported prescreening potential participants, consent to join a research registry, triaging for management of multiple trials, capture of eligibility information for each phase of a recruitment pipeline, and staff management tools including monitoring of participant flow and task assignment/reassignment features. The DIY-RSF was launched in July 2015. As of July 2017, the DIY-RSF has supported the successful recruitment efforts for eight trials, producing 14,557 participant records in the referral tracking database and 5337 participants in the center research registry. The DIY-RSF has allowed for more efficient use of staff time and more rapid processing of potential applicants. CONCLUSIONS: Using tools already supported at many academic institutions, we describe the architecture and utilization of an adaptable referral management framework to support recruitment for multiple concurrent clinical trials. The DIY-RSF can serve as a guide for leveraging common technologies to improve clinical trial recruitment procedures.

Energy and Protein Intake During the Transition from Parenteral to Enteral Nutrition in Infants of Very Low Birth Weight.

OBJECTIVE: To evaluate the association between nutrition delivery practices and energy and protein intake during the transition from parenteral to enteral nutrition in infants of very low birth weight (VLBW). STUDY DESIGN: This was a retrospective analysis of 115 infants who were VLBW from a regional neonatal intensive care unit. Changes in energy and protein intake were estimated during transition phase 1 (0% enteral); phase 2 (>0, ≤33.3% enteral); phase 3 (>33.3, ≤66.7% enteral); phase 4 (>66.7, <100% enteral); and phase 5 (100% enteral). Associations between energy and protein intake were determined for each phase for parenteral nutrition, intravenous lipids, central line, feeding fortification, fluid restriction, and excess non-nutritive fluid intake. RESULTS: In phases 2 and 3, infants receiving feeding fortification received less protein than infants who were unfortified (-1.1 and -0.3 g/kg/d, respectively; P < .001). However, this negative association was not observed after adjusting for relevant nutrition delivery practices. Despite greater enteral protein intake during phases 2 and 3 (0.3 and 0.8 g/kg/d, respectively; P < .001), infants with early fortification received less parenteral protein than infants who were unfortified (-1.4 and -1.1 g/kg/d, respectively; P < .001). Similar patterns were observed for energy intake. Protein intake declined during phases 3 and 4. CONCLUSIONS: Infants paradoxically received less protein and energy on days with early fortification, suggesting that clinicians may lack easily accessible data to detect the association between nutrition delivery practices and overall nutrition in infants who are VLBW.

Use of Metformin for Weight Management in Children and Adolescents With Obesity in the Clinical Setting.

Use of metformin for weight loss for children in a clinical setting has not been well described; therefore, we aimed to identify characteristics of obese patients prescribed metformin in a clinical setting and evaluate changes in anthropometric measures. Records of obese patients aged 10 to 18 years without diabetes attending an academic endocrinology practice from 2009 to 2013 were reviewed. Analyses assessed changes in anthropometric measures (weight, body mass index [BMI], and BMI z-score) over 12 months between those prescribed metformin (n = 49) and those not prescribed metformin (n = 142). Outcomes were standardized before using multivariable linear regression models. Patients prescribed metformin were significantly older, more often female, and had larger baseline anthropometric measures (all P < .05). In the models, subjects prescribed metformin had significantly less gain in standardized weight, BMI, and BMI z-score over 6 and 12 months (all P < .05). Metformin may be a useful weight management aid in children in a clinical setting.

Vital signs analysis algorithm detects inflammatory response in premature infants with late onset sepsis and necrotizing enterocolitis.

BACKGROUND: Nonspecific clinical signs and suboptimal diagnostic tests limit accurate identification of late onset sepsis (LOS) and necrotizing enterocolitis (NEC) in premature infants, resulting in significant morbidity and antibiotic overuse. An infant's systemic inflammatory response may be identified earlier than clinical suspicion through analysis of multiple vital signs by a computerized algorithm (RALIS). AIM: To evaluate the revised RALIS algorithm for detection of LOS and NEC in preterm infants. METHODS: In this nested case-control study, VS data (heart rate, respiratory rate, temperature, desaturations, bradycardias) were extracted from medical records of infants 23-32 weeks gestation. RALIS generated an output, with score ≥ 5 triggering an alert. Patient episodes were classified based on culture, radiograph, and antibiotic data into categories: LOS, expanded LOS, NEC, and controls. Paired t-tests, linear regression and cross-validation analyses were used to evaluate the relationship between RALIS alert and LOS/NEC. RESULTS: Among 155 infants with 161 episodes, there were 41 expanded LOS (+blood, CSF, urine, respiratory culture), 31 LOS (+blood, CSF, urine), 9 NEC, and 93 controls. RALIS alert was 43.1 ±â€¯79 h before culture in LOS (p = .012). There was a significant association between RALIS alert and LOS/NEC (ß = 0.72, p < .0001). Sensitivity and specificity for LOS/NEC were 84% and 80%, (PPV = 63%; NPV = 93%). The regression model demonstrated an AUC of 89.9%. CONCLUSIONS: For infants ≤32 weeks, RALIS detects systemic inflammatory responses in LOS and NEC in the first month of life. The algorithm can identify infection earlier than clinical suspicion, even for NEC with negative cultures. RALIS has high NPV to rule-out LOS and NEC, and may, after prospective validation, aid in antibiotic treatment decisions.

Association Between the 7-Day Moving Average for Nutrition and Growth in Very Low Birth Weight Infants.

BACKGROUND: Very low birth weight (VLBW) infants remain at risk for postnatal growth restriction. Clinicians may have difficulty identifying growth patterns resulting from nutrition interventions, impeding prompt management changes intended to increase growth velocity. This study aimed to quantify the association between growth and nutrition intake through 7-day moving averages (SDMAs). METHODS: The first 6 weeks of daily nutrition intake and growth measurements were collected from VLBW infants admitted to a level 4 neonatal intensive care unit (2011-2014). The association between SDMA for energy and macronutrients and subsequent 7-day growth velocities for weight, length, and head circumference were determined using mixed effects linear regression. Analyses were adjusted for fluid intake, infant characteristics, and comorbid conditions. RESULTS: Detailed enteral and parenteral caloric provisions were ascertained for 115 infants (n = 4643 patient-days). Each 10-kcal/kg/d increase over 7 days was independently associated with increased weight (1.7 g/kg/d), length (0.4 mm/wk), and head circumference (0.9 mm/wk; P < .001, for weight and head circumference; P = .041 for length). Each 1 g/kg/d macronutrient increase was also associated with increased weight (protein, P = .027; fat and carbohydrates, P < .001), increased length (fat, P = .032), and increased head circumference (fat and carbohydrates, P < .001). CONCLUSIONS: The SDMA identifies clinically meaningful associations among total energy, macronutrient dosing, and growth in VLBW infants. Whether SDMA is a clinically useful tool for providing clinicians with prompt feedback to improve growth warrants further attention.

The relationship between sweat chloride levels and mortality in cystic fibrosis varies by individual genotype.

RATIONALE: The association between CFTR genotype, sweat chloride and mortality has been inconsistent, but no previous analyses have examined the association stratified by individual genotypes. OBJECTIVES: To evaluate the genotype-specific association between sweat chloride and mortality. METHODS: The CFF Patient Registry was assessed and included all patients in the registry between 1996 and 2012 with at least one F508del allele. We excluded patients without a documented genotype or plausible sweat chloride level. The primary outcome was time to mortality during the observation period. We examined 15 genotypes using the three most prevalent alleles in each of 5 classes. We compared subgroups of sweat chloride using Kaplan-Meier curves, log-rank tests, and multivariable Cox PH models. The overall predictive value of sweat chloride on mortality was assessed using area under the receiver operating characteristic curves. MEASUREMENTS AND MAIN RESULTS: 18,893 subjects met inclusion criteria. Sweat chloride distribution was similar across genotypes in patients with class 1 mutations, but was significantly different across genotypes in mutation classes 2-5. The R117H/F508del genotype patients demonstrated an association between sweat chloride and mortality (HR: 1.32 for every 10mmol/L increase in sweat chloride [95% CI 1.12-1.54]. There were also significant associations in patients with F508del/F508del, I507del/F508del, G551D/F508del and 2789+5G→A/F508del genotypes, though the clinical relevance for these genotypes is unclear. CONCLUSIONS: There is significant variability in sweat chloride distribution across CFTR class 2-5 genotypes. The relationship between sweat chloride and mortality varies by genotype with a relatively strong relationship in R117H/F508del patients.

Antibiotic duration and changes in FEV1 are not associated with time until next exacerbation in adult cystic fibrosis: a single center study.

BACKGROUND: Pulmonary exacerbations (PEx) are a major driver of morbidity and mortality in cystic fibrosis and reducing their frequency by extending the time between them is an important therapeutic goal. Although treatment decisions for exacerbations are often made based on dynamic changes in lung function, it is not clear if these changes truly impact future exacerbation risk. We analyzed adults with chronic Pseudomonas aeruginosa infection to determine whether changes in FEV1 or duration of intravenous antibiotic therapy were associated with time to the next pulmonary exacerbation. METHODS: Medical records and Cystic Fibrosis Foundation Patient Registry data were examined retrospectively to assess whether various patient-specific demographic factors and exacerbation-specific characteristics were associated with time until next exacerbation using the Andersen-Gill model in order to control for previous exacerbation frequency history. RESULTS: We examined 59 patients with 221 CF pulmonary exacerbations over a 3-year study period. Mean age was 28.2 years and mean baseline FEV1 was 62% predicted. In our univariable model, fall in FEV1 at onset of exacerbation (median absolute -3% predicted change), recovery of FEV1 with treatment (median absolute +3% predicted change) and duration of IV antibiotics (median 16 days) were not associated with time to next exacerbation (median 93.5 days). Paradoxically each one-year increase in age was associated with a reduction in hazard of PEx by 3% (HR 0.97, P = 0.03, 95% CI 0.95-1.00). CONCLUSIONS: FEV1 drop and recovery associated with onset and treatment of a CF pulmonary exacerbation or duration of intravenous antibiotics were not predictive of time until next exacerbation. Our finding that older age may be associated with decreased hazard of exacerbation is likely due to a healthy survivor effect and should be controlled for in clinical trials of pulmonary exacerbations.

Harnessing Peer Support in an Online Intervention for Older Adults with Depression.

OBJECTIVE: This pilot study evaluated the feasibility and efficacy of two methods of delivering a cognitive behaviorally informed Internet intervention for depression for adults 65 years and older. METHODS: Forty-seven participants were enrolled and assigned to receive one of two versions of the Internet intervention, either delivered individually (III) or with peer support (II+PS), or to a wait list control group (WLC). Primary outcomes included change in depressive symptoms from baseline to post-intervention (week 8), site use, self-reported usability, and coach time. Secondary outcomes included measures of social support and isolation and anxiety. RESULTS: Follow-up data were provided by 85.1% (40 of 47) of enrolled participants. There were significant differences in depression change across groups (F(2,37) = 3.81, p = 0.03). Greater reductions in depressive symptoms were found for the III (p = 0.02) and II+PS (p = 0.03) compared with WLC, and significantly less coach time was required in the II+PS (p = 0.003). CONCLUSIONS: These results highlight the potential of cognitive-behaviorally informed Internet interventions for older adults with depression, and indicate that peer-supported programs are both acceptable and equivalent to individually delivered Internet interventions. Including peer support may be a viable and potentially more cost-effective option for disseminating online treatments for depression for older adults.

Use of gadolinium-based magnetic resonance imaging contrast agents and awareness of brain gadolinium deposition among pediatric providers in North America.

BACKGROUND: Numerous recent articles have reported brain gadolinium deposition when using linear but not macrocyclic gadolinium-based contrast agents (GBCAs). OBJECTIVE: To determine the current landscape of gadolinium use among pediatric institutions and the knowledge base of radiologists and referring providers with regard to GBCAs and brain gadolinium deposition. MATERIALS AND METHODS: We e-mailed voluntary closed surveys to 5,390 physicians in various pediatric professional societies between January 2016 and March 2016. We used chi-square and Fisher exact tests to compare response distributions among specialties. RESULTS: We found that 80% of surveyed pediatric hospitals use macrocyclic contrast agents. In the last year, 58% switched their agent, most commonly to gadoterate meglumine, with the most common reason being brain gadolinium deposition. Furthermore, surveys indicated that 23% of hospitals are considering switching, and, of these, 83% would switch to gadoterate meglumine; the most common reasons were brain gadolinium deposition and safety. Radiologists were more aware of brain gadolinium deposition than non-radiologist physicians (87% vs. 26%; P<0.0001). Radiologists and referring providers expressed similar levels of concern (95% and 89%). Twelve percent of radiologists and 2% of referring providers reported patients asking about brain gadolinium deposition. Radiologists were significantly more comfortable addressing patient inquiries than referring pediatric physicians (48% vs. 6%; P<0.0001). The number of MRIs requested by referring pediatric physicians correlated with their knowledge of brain gadolinium deposition, contrast agent used by their hospital, and comfort discussing brain gadolinium deposition with patients (P<0.0001). CONCLUSION: Since the discovery of brain gadolinium deposition, many pediatric hospitals have switched to or plan to switch to a more stable macrocyclic MR contrast agent, most commonly gadoterate meglumine. Despite this, there is need for substantial further education of radiologists and referring pediatric providers regarding GBCAs and brain gadolinium deposition.

Hyponatremia Is a Feature of Kawasaki Disease Shock Syndrome: A Case-Control Study.

Kawasaki disease (KD) shock syndrome (KDSS) is hypotension with KD. We compared children with KDSS and matched control children with KD. Children with KDSS more often were female, had a lower platelet count and sodium concentration, had a condition refractory to immunoglobulin, and had abnormal echocardiography results. KDSS is a unique subset of KD.

Cord Blood Acute Phase Reactants Predict Early Onset Neonatal Sepsis in Preterm Infants.

BACKGROUND: Early onset sepsis (EOS) is a major cause of morbidity and mortality in preterm infants, yet diagnosis remains inadequate resulting in missed cases or prolonged empiric antibiotics with adverse consequences. Evaluation of acute phase reactant (APR) biomarkers in umbilical cord blood at birth may improve EOS detection in preterm infants with intrauterine infection. METHODS: In this nested case-control study, infants (29.7 weeks gestation, IQR: 27.7-32.2) were identified from a longitudinal cohort with archived cord blood and placental histopathology. Patients were categorized using culture, laboratory, clinical, and antibiotic treatment data into sepsis groups: confirmed sepsis (cEOS, n = 12); presumed sepsis (PS, n = 30); and no sepsis (controls, n = 30). Nine APRs were measured in duplicate from cord blood using commercially available multiplex immunoassays (Bio-Plex Pro™). In addition, placental histopathologic data were linked to biomarker results. RESULTS: cEOS organisms were Escherichia coli, Streptococcus agalactiae, Proteus mirabilis, Haemophilus influenzae and Listeria monocytogenes. C-reactive protein (CRP), serum amyloid A (SAA), haptoglobin (Hp), serum amyloid P and ferritin were significantly elevated in cEOS compared to controls (p<0.01). SAA, CRP, and Hp were elevated in cEOS but not in PS (p<0.01) and had AUCs of 99%, 96%, and 95% respectively in predicting cEOS. Regression analysis revealed robust associations of SAA, CRP, and Hp with EOS after adjustment for covariates. Procalcitonin, fibrinogen, α-2-macroglobulin and tissue plasminogen activator were not significantly different across groups. Placental acute inflammation was associated with APR elevation and was present in all cEOS, 9 PS, and 17 control infants. CONCLUSION: This study shows that certain APRs are elevated in cord blood of premature infants with EOS of intrauterine origin. SAA, CRP, and Hp at birth have potential diagnostic utility for risk stratification and identification of infants with EOS.

IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety.

BACKGROUND: Digital mental health tools have tended to use psychoeducational strategies based on treatment orientations developed and validated outside of digital health. These features do not map well to the brief but frequent ways that people use mobile phones and mobile phone apps today. To address these challenges, we developed a suite of apps for depression and anxiety called IntelliCare, each developed with a focused goal and interactional style. IntelliCare apps prioritize interactive skills training over education and are designed for frequent but short interactions. OBJECTIVE: The overall objective of this study was to pilot a coach-assisted version of IntelliCare and evaluate its use and efficacy at reducing symptoms of depression and anxiety. METHODS: Participants, recruited through a health care system, Web-based and community advertising, and clinical research registries, were included in this single-arm trial if they had elevated symptoms of depression or anxiety. Participants had access to the 14 IntelliCare apps from Google Play and received 8 weeks of coaching on the use of IntelliCare. Coaching included an initial phone call plus 2 or more texts per week over the 8 weeks, with some participants receiving an additional brief phone call. Primary outcomes included the Patient Health Questionnaire-9 (PHQ-9) for depression and the Generalized Anxiety Disorder-7 (GAD-7) for anxiety. Participants were compensated up to US $90 for completing all assessments; compensation was not for app use or treatment engagement. RESULTS: Of the 99 participants who initiated treatment, 90.1% (90/99) completed 8 weeks. Participants showed substantial reductions in the PHQ-9 and GAD-7 (P<.001). Participants used the apps an average of 195.4 (SD 141) times over the 8 weeks. The average length of use was 1.1 (SD 2.1) minutes, and 95% of participants downloaded 5 or more of the IntelliCare apps. CONCLUSIONS: This study supports the IntelliCare framework of providing a suite of skills-focused apps that can be used frequently and briefly to reduce symptoms of depression and anxiety. The IntelliCare system is elemental, allowing individual apps to be used or not used based on their effectiveness and utility, and it is eclectic, viewing treatment strategies as elements that can be applied as needed rather than adhering to a singular, overarching, theoretical model. TRIAL REGISTRATION: Clinicaltrials.gov NCT02176226; http://clinicaltrials.gov/ct2/show/NCT02176226 (Archived by WebCite at http://www.webcitation/6mQZuBGk1).

Risk Factors for Cardiac Arrest or Mechanical Circulatory Support in Children with Fulminant Myocarditis.

In children with fulminant myocarditis (FM), we sought to describe presenting characteristics and clinical outcomes, and identify risk factors for cardiac arrest and mechanical circulatory support (MCS). A retrospective review of patients with FM admitted at our institution between January 1, 2004, and June 31, 2015, was performed. We compared characteristics and outcomes of FM patients who received cardiopulmonary resuscitation (CPR) and/or were placed on MCS (CPR/MCS group) to those who did not develop these outcomes (Control group). There were 28 patients who met criteria for FM. Median age was 1.2 years (1 day-17 years). Recovery of myocardial function occurred in 13 patients (46%); 6 (21%) had chronic ventricular dysfunction, 6 (21%) underwent heart transplantation, and 3 (11%) died prior to hospital discharge (including one death following heart transplant). Of the 28 FM patients, 13 (46%) developed cardiac arrest (n = 11) and/or received MCS (n = 8). When compared to controls, patients in the CPR/MCS group had a higher peak b-type natriuretic peptide (BNP) levels (p = 0.03) and peak inotropic scores (p = 0.02). No significant differences were found between groups in demographics; chest radiograph, electrocardiogram, or echocardiogram findings; or initial laboratory values including BNP, troponin, C-reactive protein, lactate, and creatinine (p > 0.05 for all). Children with FM are at high risk of cardiovascular collapse leading to the use of CPR or MCS. Aside from peak BNP levels and inotropic scores, the most presenting characteristics were not helpful for predicting these outcomes. FM patients should ideally receive care in centers that provide emergent MCS.

Unplanned, Postoperative Intubation in Pediatric Surgical Patients: Development and Validation of a Multivariable Prediction Model.

BACKGROUND: To date, the independent predictors and outcomes of unplanned postoperative intubation (UPI) in pediatric patients after noncardiac surgery are yet to be characterized. The authors aimed to identify the incidence and predictors of this event and evaluated the effect of this event on postoperative mortality. METHODS: Data of 87,920 patients from the American College of Surgeons National Surgical Quality Improvement Program Pediatric database were analyzed and assigned to derivation (n = 58,614; 66.7%) or validation (n = 29,306; 33.3%) cohorts. The derivation cohort was analyzed for the incidence and independent predictors of early UPI. The final multivariable logistic regression model was validated using the validation cohort. RESULTS: Early UPI occurred with an incidence of 0.2% in both cohorts. Among the 540 patients who experienced a UPI, 178 (33.0%) were intubated within the first 72 h after surgery. The final logistic regression model indicated operation time, severe cardiac risk factors, American Society of Anesthesiologists physical status classification more than or equal to 2, tumor involving the central nervous system, developmental delay/impaired cognitive function, past or current malignancy, and neonate status as independent predictors of early UPI. Having an early UPI was associated with an increased risk of unadjusted, all-cause 30-day mortality, demonstrating an odds ratio of 11.4 (95% CI, 5.8 to 22.4). CONCLUSIONS: Pediatric patients who experienced an early UPI after noncardiac surgery had an increased likelihood of unadjusted 30-day mortality by more than 11-fold. Identification of high-risk patients can allow for targeted intervention and potential prevention of such outcomes.