Dedicated financial hardship screening adds value to routine distress screening among gynecologic cancer patients.

OBJECTIVES: To evaluate existing distress screening to identify patients with financial hardship (FH) compared to dedicated FH screening and assess patient attitudes toward FH screening. METHODS: We screened gynecologic cancer patients starting a new line of therapy. Existing screening included: (1) Moderate/severe distress defined as Distress Thermometer score ≥ 4, (2) practical concerns identified from Problem Checklist, and (3) a single question assessing trouble paying for medications. FH screening included: (1) Comprehensive Score for Financial Toxicity (COST) tool and (2) 10-item Financial Needs Checklist to guide referrals. FH was defined as COST score < 26. We calculated sensitivity (patients with moderate/severe distress + FH over total patients with FH) and specificity (patients with no/mild distress + no FH over total patients with no FH) to assess the extent distress screening could capture FH. Surveys and exit interviews assessed patient perspectives toward screening. RESULTS: Of 364 patients screened for distress, average age was 62 years, 25% were Black, 45% were Medicare beneficiaries, 32% had moderate/severe distress, 15% reported ≥1 practical concern, and 0 reported trouble paying for medications. Most (n = 357, 98%) patients also completed FH screening: of them, 24% screened positive for FH, 32% reported ≥1 financial need. Distress screening had 57% sensitivity and 77% specificity for FH. Based on 79 surveys and 43 exit interviews, FH screening was acceptable with feedback to improve the timing and setting of screening. CONCLUSIONS: Dedicated FH screening was feasible and acceptable, but sensitivity was low. Importantly, 40% of women with FH would not have been identified with distress screening alone.

COVID-19 Vaccine Safety Technical (VaST) Work Group: Enhancing vaccine safety monitoring during the pandemic.

During the COVID-19 pandemic, candidate COVID-19 vaccines were being developed for potential use in the United States on an unprecedented, accelerated schedule. It was anticipated that once available, under U.S. Food and Drug Administration (FDA) Emergency Use Authorization (EUA) or FDA approval, COVID-19 vaccines would be broadly used and potentially administered to millions of individuals in a short period of time. Intensive monitoring in the post-EUA/licensure period would be necessary for timely detection and assessment of potential safety concerns. To address this, the Centers for Disease Control and Prevention (CDC) convened an Advisory Committee on Immunization Practices (ACIP) work group focused solely on COVID-19 vaccine safety, consisting of independent vaccine safety experts and representatives from federal agencies - the ACIP COVID-19 Vaccine Safety Technical Work Group (VaST). This report provides an overview of the organization and activities of VaST, summarizes data reviewed as part of the comprehensive effort to monitor vaccine safety during the COVID-19 pandemic, and highlights selected actions taken by CDC, ACIP, and FDA in response to accumulating post-authorization safety data. VaST convened regular meetings over the course of 29 months, from November 2020 through April 2023; through March 2023 FDA issued EUAs for six COVID-19 vaccines from four different manufacturers and subsequently licensed two of these COVID-19 vaccines. The independent vaccine safety experts collaborated with federal agencies to ensure timely assessment of vaccine safety data during this time. VaST worked closely with the ACIP COVID-19 Vaccines Work Group; that work group used safety data and VaST's assessments for benefit-risk assessments and guidance for COVID-19 vaccination policy. Safety topics reviewed by VaST included those identified in safety monitoring systems and other topics of scientific or public interest. VaST provided guidance to CDC's COVID-19 vaccine safety monitoring efforts, provided a forum for review of data from several U.S. government vaccine safety systems, and assured that a diverse group of scientists and clinicians, external to the federal government, promptly reviewed vaccine safety data. In the event of a future pandemic or other biological public health emergency, the VaST model could be used to strengthen vaccine safety monitoring, enhance public confidence, and increase transparency through incorporation of independent, non-government safety experts into the monitoring process, and through strong collaboration among federal and other partners.

Development and validation of a federated learning framework for detection of subphenotypes of multisystem inflammatory syndrome in children.

Background: Multisystem inflammatory syndrome in children (MIS-C) is a severe post-acute sequela of SARS-CoV-2 infection. The highly diverse clinical features of MIS-C necessities characterizing its features by subphenotypes for improved recognition and treatment. However, jointly identifying subphenotypes in multi-site settings can be challenging. We propose a distributed multi-site latent class analysis (dMLCA) approach to jointly learn MIS-C subphenotypes using data across multiple institutions. Methods: We used data from the electronic health records (EHR) systems across nine U.S. children's hospitals. Among the 3,549,894 patients, we extracted 864 patients < 21 years of age who had received a diagnosis of MIS-C during an inpatient stay or up to one day before admission. Using MIS-C conditions, laboratory results, and procedure information as input features for the patients, we applied our dMLCA algorithm and identified three MIS-C subphenotypes. As validation, we characterized and compared more granular features across subphenotypes. To evaluate the specificity of the identified subphenotypes, we further compared them with the general subphenotypes identified in the COVID-19 infected patients. Findings: Subphenotype 1 (46.1%) represents patients with a mild manifestation of MIS-C not requiring intensive care, with minimal cardiac involvement. Subphenotype 2 (25.3%) is associated with a high risk of shock, cardiac and renal involvement, and an intermediate risk of respiratory symptoms. Subphenotype 3 (28.6%) represents patients requiring intensive care, with a high risk of shock and cardiac involvement, accompanied by a high risk of >4 organ system being impacted. Importantly, for hospital-specific clinical decision-making, our algorithm also revealed a substantial heterogeneity in relative proportions of these three subtypes across hospitals. Properly accounting for such heterogeneity can lead to accurate characterization of the subphenotypes at the patient-level. Interpretation: Our identified three MIS-C subphenotypes have profound implications for personalized treatment strategies, potentially influencing clinical outcomes. Further, the proposed algorithm facilitates federated subphenotyping while accounting for the heterogeneity across hospitals.

Pediatric Ventilator-Associated Events Before and After a Multicenter Quality Improvement Initiative.

Importance: Pediatric ventilator-associated events (PedVAEs, defined as a sustained worsening in oxygenation after a baseline period of stability or improvement) are useful for surveillance of complications from mechanical ventilation. It is unclear whether interventions to mitigate known risk factors can reduce PedVAE rates. Objective: To assess whether adherence to 1 or more test factors in a quality improvement bundle was associated with a reduction in PedVAE rates. Design, Setting, and Participants: This multicenter quality improvement study obtained data from 2017 to 2020 for patients who were mechanically ventilated and cared for in neonatal, pediatric, and cardiac intensive care units (ICUs). These ICUs were located in 95 hospitals participating in the Children's Hospitals' Solutions for Patient Safety (SPS) network in North America. Data analyses were performed between September 2021 and April 2023. Intervention: A quality improvement bundle consisted of 3 test factors: multidisciplinary apparent cause analysis, daily discussion of extubation readiness, and daily discussion of fluid balance goals. This bundle was distributed to a subgroup of hospitals that volunteered to participate in a collaborative PedVAE prevention initiative under the SPS network guidance in July 2018. Main Outcomes and Measures: Each SPS network hospital submitted monthly PedVAE rates from January 1, 2017, to May 31, 2020, and test factor data were submitted from July 1, 2018, to May 31, 2020. Analyses focused on hospitals that reliably submitted PedVAE rate data, defined as outcomes data submission through May 31, 2020, for at least 80% of the baseline and postbaseline periods. Results: Of the 95 hospitals in the SPS network that reported PedVAE data, 21 were grouped in the Pioneer cohort and 74 in the non-Pioneer cohort. Only 12 hospitals (57%) from the 21 Pioneer hospitals and 33 (45%) from the 74 non-Pioneer hospitals were considered to be reliable reporters of outcome data. Among the 12 hospitals, the PedVAE rate decreased from 1.9 to 1.4 events per 1000 ventilator days (absolute rate difference, -0.6; 95% CI, -0.5 to -0.7; P < .001). No significant change in the PedVAE rate was seen among the 33 hospitals that reliably submitted PedVAE rates but did not implement the bundle. Of the 12 hospitals, 3 that reliably performed daily discussion of extubation readiness had a decrease in PedVAE rate from 2.6 to 1.2 events per 1000 ventilator days (absolute rate difference, -1.4; 95% CI, -1.0 to -1.7; P < .001), whereas the other 9 hospitals that did not implement this discussion did not have a decrease. Conclusions and Relevance: This study found that a multicenter quality improvement intervention targeting PedVAE risk factors was associated with a substantial reduction in the rate of PedVAEs in hospital ICUs. The findings suggest that ICU teams seeking to reduce PedVAEs incorporate daily discussion of extubation readiness during morning rounds.

Development of COVID-19 vaccine policy - United States, 2020-2023.

COVID-19 vaccines represent a great scientific and public health achievement in the face of overwhelming pressures from a global pandemic, preventing millions of hospitalizations and deaths due to COVID-19 vaccines in the United States. Over 675 million doses of COVID-19 vaccines have been administered in the United States, and over 80% of the U.S. population has had at least 1 dose of a COVID-19 vaccine. Over the course of the COVID-19 pandemic in the United States, over one million people died from COVID-19, and over six million were hospitalized. It has been estimated that COVID-19 vaccines prevented more than 18 million additional hospitalizations and more than 3 million additional deaths due to COVID-19 in the United States. From the beginning of the COVID-19 pandemic in 2020 through June 2023, ACIP had 35 COVID-19 focused meetings and 24 votes for COVID-19 vaccine recommendations. ACIP had the critical task of rapidly and thoroughly reviewing emerging and evolving data on COVID-19 epidemiology and vaccines, as well as making comprehensive population-based recommendations for vaccine policy and considerations for implementation through a transparent and evidence-based framework. Safe and effective COVID-19 vaccines, recommended through transparent policy discussions with ACIP, remain the best tool we have to prevent serious illness, hospitalization and death from COVID-19.

Spectrum of severity of multisystem inflammatory syndrome in children: an EHR-based cohort study from the RECOVER program.

Multi-system inflammatory syndrome in children (MIS-C) is a severe post-acute sequela of SARS-CoV-2 infection in children, and there is a critical need to unfold its highly heterogeneous disease patterns. Our objective was to characterize the illness spectrum of MIS-C for improved recognition and management. We conducted a retrospective cohort study using data from March 1, 2020-September 30, 2022, in 8 pediatric medical centers from PEDSnet. We included 1139 children hospitalized with MIS-C and used their demographics, symptoms, conditions, laboratory values, and medications for analyses. We applied heterogeneity-adaptive latent class analyses and identified three latent classes. We further characterized the sociodemographic and clinical characteristics of the latent classes and evaluated their temporal patterns. Class 1 (47.9%) represented children with the most severe presentation, with more admission to the ICU, higher inflammatory markers, hypotension/shock/dehydration, cardiac involvement, acute kidney injury and respiratory involvement. Class 2 (23.3%) represented a moderate presentation, with 4-6 organ systems involved, and some overlapping features with acute COVID-19. Class 3 (28.8%) represented a mild presentation. Our results indicated that MIS-C has a spectrum of clinical severity ranging from mild to severe and the proportion of severe or critical MIS-C decreased over time.

Use of Updated COVID-19 Vaccines 2023-2024 Formula for Persons Aged ≥6 Months: Recommendations of the Advisory Committee on Immunization Practices - United States, September 2023.

COVID-19 vaccines protect against severe COVID-19-associated outcomes, including hospitalization and death. As SARS-CoV-2 has evolved, and waning vaccine effectiveness has been noted, vaccine formulations and policies have been updated to provide continued protection against severe illness and death from COVID-19. Since September 2022, bivalent mRNA COVID-19 vaccines have been recommended in the United States, but the variants these vaccines protect against are no longer circulating widely. On September 11, 2023, the Food and Drug Administration (FDA) approved the updated (2023-2024 Formula) COVID-19 mRNA vaccines by Moderna and Pfizer-BioNTech for persons aged ≥12 years and authorized these vaccines for persons aged 6 months-11 years under Emergency Use Authorization (EUA). On October 3, 2023, FDA authorized the updated COVID-19 vaccine by Novavax for use in persons aged ≥12 years under EUA. The updated COVID-19 vaccines include a monovalent XBB.1.5 component, which is meant to broaden vaccine-induced immunity and provide protection against currently circulating SARS-CoV-2 XBB-sublineage variants including against severe COVID-19-associated illness and death. On September 12, 2023, the Advisory Committee on Immunization Practices recommended vaccination with updated COVID-19 vaccines for all persons aged ≥6 months. These recommendations will be reviewed as new evidence becomes available or new vaccines are approved and might be updated.

A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program.

As clinical understanding of pediatric Post-Acute Sequelae of SARS CoV-2 (PASC) develops, and hence the clinical definition evolves, it is desirable to have a method to reliably identify patients who are likely to have post-acute sequelae of SARS CoV-2 (PASC) in health systems data. In this study, we developed and validated a machine learning algorithm to classify which patients have PASC (distinguishing between Multisystem Inflammatory Syndrome in Children (MIS-C) and non-MIS-C variants) from a cohort of patients with positive SARS- CoV-2 test results in pediatric health systems within the PEDSnet EHR network. Patient features included in the model were selected from conditions, procedures, performance of diagnostic testing, and medications using a tree-based scan statistic approach. We used an XGboost model, with hyperparameters selected through cross-validated grid search, and model performance was assessed using 5-fold cross-validation. Model predictions and feature importance were evaluated using Shapley Additive exPlanation (SHAP) values. The model provides a tool for identifying patients with PASC and an approach to characterizing PASC using diagnosis, medication, laboratory, and procedure features in health systems data. Using appropriate threshold settings, the model can be used to identify PASC patients in health systems data at higher precision for inclusion in studies or at higher recall in screening for clinical trials, especially in settings where PASC diagnosis codes are used less frequently or less reliably. Analysis of how specific features contribute to the classification process may assist in gaining a better understanding of features that are associated with PASC diagnoses.

Implementing strategies to prevent infections in acute-care settings.

This document introduces and explains common implementation concepts and frameworks relevant to healthcare epidemiology and infection prevention and control and can serve as a stand-alone guide or be paired with the "SHEA/IDSA/APIC Compendium of Strategies to Prevent Healthcare-Associated Infections in Acute Care Hospitals: 2022 Updates," which contain technical implementation guidance for specific healthcare-associated infections. This Compendium article focuses on broad behavioral and socio-adaptive concepts and suggests ways that infection prevention and control teams, healthcare epidemiologists, infection preventionists, and specialty groups may utilize them to deliver high-quality care. Implementation concepts, frameworks, and models can help bridge the "knowing-doing" gap, a term used to describe why practices in healthcare may diverge from those recommended according to evidence. It aims to guide the reader to think about implementation and to find resources suited for a specific setting and circumstances by describing strategies for implementation, including determinants and measurement, as well as the conceptual models and frameworks: 4Es, Behavior Change Wheel, CUSP, European and Mixed Methods, Getting to Outcomes, Model for Improvement, RE-AIM, REP, and Theoretical Domains.

Moms in the NICU: developing a pilot to engage and empower women who have delivered a prematurely born infant.

BACKGROUND: Mothers spend long hours at their preterm infant's bedside in the Neonatal Intensive Care Unit (NICU), giving clinicians the opportunity to engage mothers in caring for their own health. OBJECTIVE: To develop a NICU based intervention to reduce the risk of a future premature birth by engaging and empowering mothers to improve their own health and identify barriers to implementing their improvement. DESIGN: Development based on a framework of narrative discourse refined by the Quality Improvement Plan Do Study Act Approach. SETTING: Level II Stepdown Neonatal Intensive Care Unit. PARTICIPANTS: 14 mothers of preterm infants, ages 24-39 years. METHODS: A team of Maternal Fetal Medicine Physicians, obstetricians, neonatologists, neonatal nurses, and parents developed guidelines to elicit the mother's birth story, review the story with a clinical expert to fill in knowledge gaps, identify strategies to improve health to reduce the risk of future preterm birth, and facilitate mother developing an action plan with specific six week goals. A phone interview was designed to assess success and identify barriers to implementing their health plan. The protocol was modified as needed after each intervention to improve the interventions. RESULTS: "Moms in the NICU" toolkit is effective to guide any clinical facilitator to engage, identify health improvement strategies, and co-develop an individualized health plan and its take home summary reached stability after the 5th mother. Mothers reported experiencing reassurance, understanding, and in some cases, relief. Participants were enthusiastic to inform future quality improvement activities by sharing the six week barriers faced implementing their health plan. CONCLUSION: Engaging in the NICU provides an opportunity to improve mothers' understanding of potential factors that may be linked to preterm birth, and promote personally selected actions to improve their health and reduce the risk of a future preterm birth.

Factors influencing pediatric transfusion: A complex decision impacting quality of care.

BACKGROUND: The risks of red blood cell transfusion may outweigh the benefits for many patients in pediatric intensive care units (PICUs), but guidelines from the Transfusion and Anemia eXpertise Initiative (TAXI) have not been consistently adopted. We sought to identify factors that influenced transfusion decision-making in PICUs to explore potential barriers and facilitators to implementing the guidelines. STUDY DESIGN AND METHODS: A total of 50 ICU providers working in eight US ICUs of different types (non-cardiac PICUs, cardiovascular ICUs, combined units) and variable sizes (11-32 beds) completed semi-structured interviews. Providers included ICU attendings and trainees, nurse practitioners, nurses, and subspecialty physicians. Interviews examined factors that influenced transfusion decisions, transfusion practices, and provider beliefs. Qualitative analysis utilized a Framework Approach. Summarized data was compared between provider roles and units with consideration to identify patterns and unique informative statements. RESULTS: Providers cited clinical, physiologic, anatomic, and logistic factors they considered in making transfusion decisions. Improving oxygen carrying capacity, hemodynamics and perfusion, respiratory function, volume deficits, and correcting laboratory values were among the reasons given for transfusion. Other sought-after benefits included alleviating symptoms of anemia, improving ICU throughput, and decreasing blood waste. Providers in different roles approached transfusion decisions differently, with the largest differences noted between nurses and subspecialists as compared with other ICU providers. While ICU attendings most often made the decision to transfuse, all providers influenced the decision-making. DISCUSSION: Implementation of transfusion guidelines requires multi-professional approaches that emphasize the known risks of transfusion, its limited benefits, and highlight evidence around the safety and benefit of restrictive approaches.

Understanding pediatric long COVID using a tree-based scan statistic approach: an EHR-based cohort study from the RECOVER Program.

Objectives: Post-acute sequalae of SARS-CoV-2 infection (PASC) is not well defined in pediatrics given its heterogeneity of presentation and severity in this population. The aim of this study is to use novel methods that rely on data mining approaches rather than clinical experience to detect conditions and symptoms associated with pediatric PASC. Materials and Methods: We used a propensity-matched cohort design comparing children identified using the new PASC ICD10CM diagnosis code (U09.9) (N = 1309) to children with (N = 6545) and without (N = 6545) SARS-CoV-2 infection. We used a tree-based scan statistic to identify potential condition clusters co-occurring more frequently in cases than controls. Results: We found significant enrichment among children with PASC in cardiac, respiratory, neurologic, psychological, endocrine, gastrointestinal, and musculoskeletal systems, the most significant related to circulatory and respiratory such as dyspnea, difficulty breathing, and fatigue and malaise. Discussion: Our study addresses methodological limitations of prior studies that rely on prespecified clusters of potential PASC-associated diagnoses driven by clinician experience. Future studies are needed to identify patterns of diagnoses and their associations to derive clinical phenotypes. Conclusion: We identified multiple conditions and body systems associated with pediatric PASC. Because we rely on a data-driven approach, several new or under-reported conditions and symptoms were detected that warrant further investigation.

The Association Between Central Line-Associated Bloodstream Infection and Central Line Access.

OBJECTIVES: Identifying modifiable risk factors associated with central line-associated bloodstream infections (CLABSIs) may lead to modifications to central line (CL) management. We hypothesize that the number of CL accesses per day is associated with an increased risk for CLABSI and that a significant fraction of CL access may be substituted with non-CL routes. DESIGN: We conducted a retrospective cohort study of patients with at least one CL device day from January 1, 2015, to December 31, 2019. A multivariate mixed-effects logistic regression model was used to estimate the association between the number of CL accesses in a given CL device day and prevalence of CLABSI within the following 3 days. SETTING: A 395-bed pediatric academic medical center. PATIENTS: Patients with at least one CL device day from January 1, 2015, to December 31, 2019. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: There were 138,411 eligible CL device days across 6,543 patients, with 639 device days within 3 days of a CLABSI (a total of 217 CLABSIs). The number of per-day CL accesses was independently associated with risk of CLABSI in the next 3 days (adjusted odds ratio, 1.007; 95% CI, 1.003-1.012; p = 0.002). Of medications administered through CLs, 88% were candidates for delivery through a peripheral line. On average, these accesses contributed a 6.3% increase in daily risk for CLABSI. CONCLUSIONS: The number of daily CL accesses is independently associated with risk of CLABSI in the next 3 days. In the pediatric population examined, most medications delivered through CLs could be safely administered peripherally. Efforts to reduce CL access may be an important strategy to include in contemporary CLABSI-prevention bundles.

The Ycx1 protein encoded by the yeast YDL206W gene plays a role in calcium and calcineurin signaling.

Calcium is ubiquitously present in all living cells and plays important regulatory roles in a wide variety of biological processes. In yeast, many effects of calcium are mediated via the action of calcineurin, a calcium/calmodulin-dependent protein phosphatase. Proper signaling of calcium and calcineurin is important in yeast, and the calcineurin pathway has emerged as a valuable target for developing novel antifungal drugs. Here, we report a role of YDL206W in calcium and calcineurin signaling in yeast. YDL206W is an uncharacterized gene in yeast, encoding a protein with two sodium/calcium exchange domains. Disrupting the YDL206W gene leads to a diminished level of calcium-induced activation of calcineurin and a reduced accumulation of cytosolic calcium. Consistent with a role of calcineurin in regulating pheromone and cell wall integrity signaling, the ydl206wΔ mutants display an enhanced growth arrest induced by pheromone treatment and poor growth at elevated temperature. Subcellular localization studies indicate that YDL206W is localized in endoplasmic reticulum and Golgi. Together, our results reveal YDL206W as a new regulator for calcineurin signaling in yeast and suggest a role of the endoplasmic reticulum and Golgi in regulating cytosolic calcium in yeast.

Can Multisystem Inflammatory Syndrome in Children Be Managed in the Outpatient Setting? An EHR-Based Cohort Study From the RECOVER Program.

Using electronic health record data combined with primary chart review, we identified seven children across nine participant pediatric medical centers with a diagnosis of Multisystem Inflammatory Syndrome in Children (MIS-C) managed exclusively as outpatients. These findings should raise awareness of mild presentations of MIS-C and the option of outpatient management.

Leveraging Serologic Testing to Identify Children at Risk For Post-Acute Sequelae of SARS-CoV-2 Infection: An Electronic Health Record-Based Cohort Study from the RECOVER Program.

Using an electronic health record-based algorithm, we identified children with Coronavirus disease 2019 (COVID-19) based exclusively on serologic testing between March 2020 and April 2022. Compared with the 131 537 polymerase chain reaction-positive children, the 2714 serology-positive children were more likely to be inpatients (24% vs 2%), to have a chronic condition (37% vs 24%), and to have a diagnosis of multisystem inflammatory syndrome in children (23% vs <1%). Identification of children who could have been asymptomatic or paucisymptomatic and not tested is critical to define the burden of post-acute sequelae of severe acute respiratory syndrome coronavirus 2 infection in children.

Immunisation rates and predictors of undervaccination in infants with CHD.

Vaccination coverage for infants with CHD is unknown, yet these patients are at high risk for morbidity and mortality associated with vaccine-preventable illnesses. We determined vaccination rates for this population and identified predictors of undervaccination. We prospectively enrolled infants with CHD born between 1 January, 2012 and 31 December, 2015, seen in a single-centre cardiology clinic between 15 February, 2016 and 28 February, 2017. We assessed vaccination during the first year of life. Subjects who by age 1 year received all routine immunisations recommended during the first 6 months of life were considered fully vaccinated. We also evaluated influenza vaccination during subjects' first eligible influenza season. We obtained immunisation histories from primary care providers and collected demographic and clinical data via a parent survey and chart review. We used multivariable logistic regression to identify predictors of undervaccination. Among 260 subjects, only 60% were fully vaccinated. Vaccination rates were lowest for influenza (64.6%), rotavirus (71.1%), and Haemophilus influenzae type b (79.3%). Cardiac surgery with cardiopulmonary bypass during the first year of life was associated with undervaccination (51.5% versus 76.4% fully vaccinated, adjusted odds ratio 2.1 [95% confidence interval 1.1-3.9]). Other predictors of undervaccination were out-of-state primary care (adjusted odds ratio 2.7 [1.5-4.9]), multiple comorbidities (≥2 versus 0-1, adjusted odds ratio 2.0 [1.1-3.6]), and hospitalisation for >25% of the first year of life (>25% versus ≤25%, adjusted odds ratio 2.1 [1.1-3.9]). Targeted quality improvement initiatives focused on improving vaccination coverage for these infants, especially surrounding cardiac surgery, are needed.

Pediatric surgical site infections in 287 hospitals in the United States, 2015-2018.

Among 287 US hospitals reporting data between 2015 and 2018, annual pediatric surgical site infection (SSI) rates ranged from 0% for gallbladder to 10.4% for colon surgeries. Colon, spinal fusion, and small-bowel SSI rates did not decrease with greater surgical volumes in contrast to appendix and ventricular-shunt SSI rates.

Characteristics of antifungal utilization for hospitalized children in the United States.

Objective: To characterize antifungal prescribing patterns, including the indication for antifungal use, in hospitalized children across the United States. Design: We analyzed antifungal prescribing data from 32 hospitals that participated in the SHARPS Antibiotic Resistance, Prescribing, and Efficacy among Children (SHARPEC) study, a cross-sectional point-prevalence survey conducted between June 2016 and December 2017. Methods: Inpatients aged <18 years with an active systemic antifungal order were included in the analysis. We classified antifungal prescribing by indication (ie, prophylaxis, empiric, targeted), and we compared the proportion of patients in each category based on patient and antifungal characteristics. Results: Among 34,927 surveyed patients, 2,095 (6%) received at least 1 systemic antifungal and there were 2,207 antifungal prescriptions. Most patients had an underlying oncology or bone marrow transplant diagnosis (57%) or were premature (13%). The most prescribed antifungal was fluconazole (48%) and the most common indication for antifungal use was prophylaxis (64%). Of 2,095 patients receiving antifungals, 79 (4%) were prescribed >1 antifungal, most often as targeted therapy (48%). The antifungal prescribing rate ranged from 13.6 to 131.2 antifungals per 1,000 patients across hospitals (P < .001). Conclusions: Most antifungal use in hospitalized children was for prophylaxis, and the rate of antifungal prescribing varied significantly across hospitals. Potential targets for antifungal stewardship efforts include high-risk, high-utilization populations, such as oncology and bone marrow transplant patients, and specific patterns of utilization, including prophylactic and combination antifungal therapy.