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Jia C, Jia W, Yi X, Fu S, Cui Y, Li P, Song C. Clinical analysis of influenza in the neonatal intensive care unit. Ital J Pediatr 2024; 50:184. [PMID: 39294774 PMCID: PMC11411831 DOI: 10.1186/s13052-024-01742-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 08/31/2024] [Indexed: 09/21/2024] Open
Abstract
BACKGROUND The aim was to investigate the clinical characteristics, treatment and prognosis of neonatal influenza. METHODS The clinical data of 21 neonates who were diagnosed with influenza and admitted to the neonatal intensive care unit of Henan Provincial Children's Hospital, China, between January 2023 and January 2024 were retrospectively analyzed. RESULTS A total of 21 patients were admitted, including 14 with influenza A and 7 with influenza B. Eighteen of these patients were reported to have been exposed to family members with respiratory symptoms before hospitalization. Among all the patients' mothers, only 1 received the influenza vaccine during pregnancy. Fifteen newborns had fever, 13 appetite loss, 10 cough, 9 shortness of breath, 9 nasal obstruction, 3 runny nose, 3 vomiting, 2 severe wheezing, 2 choking, 2 diarrhea, 1 bloating, and 1 sputum in the throat. The pulmonary auscultation sounds were coarse in 19 neonates, weak in 2, moist rales were appreciated in 5 and wheezing in 4 of them. The peripheral total white blood cell count was normal in 18 patients and elevated in 3. The C-reactive protein level was normal in all subjects, and the procalcitonin level was elevated in 1. Nineteen patients had pneumonia on chest imaging. All patients were treated with oseltamivir and finally recovered. CONCLUSION Influenza A is the most common type of neonatal influenza. The clinical symptoms are atypical, and fever is the main symptom. Treatment with oseltamivir is safe and effective, and the prognosis is mostly favorable.
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Affiliation(s)
- Canyang Jia
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, China
| | - Wanyu Jia
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, China
| | - Xiaowen Yi
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, China
| | - Shuqin Fu
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, China
| | - Yajie Cui
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, China
| | - Peng Li
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, China
| | - Chunlan Song
- Henan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, 450018, China.
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Ayouni I, Mbangiwa T, Amponsah-Dacosta E, Noll S, Kagina BM, Muloiwa R. Acceptance and uptake of vaccines against tetanus, influenza, pertussis, and COVID-19 among pregnant and postpartum women in low- and middle-income countries: a systematic review and meta-analysis protocol. Syst Rev 2024; 13:227. [PMID: 39237969 PMCID: PMC11375862 DOI: 10.1186/s13643-024-02645-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 08/22/2024] [Indexed: 09/07/2024] Open
Abstract
BACKGROUND Pregnant women, fetuses, and neonates are particularly vulnerable to vaccine-preventable diseases (VPDs). These VPDs are associated with high morbidity and mortality among expectant mothers and their fetuses and neonates. Vaccination during pregnancy can protect the expectant mother from VPDs to which she may be especially vulnerable while pregnant. In addition, the passive transfer of maternal neutralizing immunoglobulin G (IgG) and secretory immunoglobulin A (IgA) also protects the fetus against congenital infections and may further protect the neonate from infection during the first few months of life. Despite this, coverage of recommended maternal vaccines remains suboptimal globally, especially in resource-constrained settings. Determinants of vaccine acceptance and uptake are frequently understudied in low- and middle-income countries (LMICs) and among specific groups such as pregnant and postpartum women. This proposed systematic review will assess the acceptance and uptake of vaccines against tetanus, influenza, pertussis, and COVID-19 among pregnant and postpartum women in LMICs. METHODS A Boolean search strategy employing common and medical subject heading (MeSH) terms for tetanus, influenza, pertussis, and COVID-19 vaccines, as well as vaccine acceptance, hesitancy, together with uptake, pregnancy, and postpartum, will be used to search electronic databases for relevant literature published between 2009 and 2024. Only studies conducted in LMICs that investigated determinants of acceptance, hesitancy, and uptake of tetanus, influenza, pertussis, and COVID-19 vaccines among pregnant and postpartum women will be eligible for inclusion in the review. The quality and the risk of bias of all eligible full-text articles will be assessed using the Joanna Briggs Institute's (JBI) critical appraisal tools. DISCUSSION This protocol proposes a systematic review and meta-analysis that aims to assess the uptake of maternal vaccines and to systematically appraise and quantify determinants of the acceptance and uptake of recommended vaccines during pregnancy and postpartum in LMICs. A better understanding of these factors and how they influence maternal vaccine decision-making will enable public health practitioners as well as global and national policymakers to design more effective interventions as we look towards expanding the scope and reach of maternal immunization programs.
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Affiliation(s)
- Imen Ayouni
- Department of Pediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa.
- Vaccines for Africa Initiative, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
| | - Tshepiso Mbangiwa
- Vaccines for Africa Initiative, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Edina Amponsah-Dacosta
- Vaccines for Africa Initiative, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Susanne Noll
- Vaccines for Africa Initiative, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Benjamin M Kagina
- Vaccines for Africa Initiative, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Rudzani Muloiwa
- Department of Pediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa
- Vaccines for Africa Initiative, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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Febrile infants without respiratory symptoms or sick contacts: are chest radiographs or RSV/influenza testing indicated? BMC Infect Dis 2021; 21:862. [PMID: 34425771 PMCID: PMC8381480 DOI: 10.1186/s12879-021-06493-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 07/28/2021] [Indexed: 11/18/2022] Open
Abstract
Background Serious bacterial infection rates in febrile infants < 60 days are about 8–11%. Less than 1% of febrile infants with no respiratory symptoms will have pneumonia however, chest radiography (CXR) rates remain between 30 and 60%. Rapid Respiratory Syncytial Virus (RSV) and influenza (flu) testing is common, however, there is not enough data to determine if febrile infants without any respiratory symptoms should be tested. The goal of this study is to determine the rate of positive CXR and RSV/flu results in febrile infants with no respiratory symptoms and no sick contacts. Methods Well-appearing febrile infants between 7 and 60 days of age who presented to the pediatric emergency department (PED) from September 1st, 2015 through October 30th, 2017 were enrolled. Demographic data, respiratory symptoms, CXR findings and RSV/flu results were collected. SAS statistical software was used for analysis. Results 129 infants met enrollment criteria. Of the 129 infants, 58 (45.0%) had no respiratory symptoms and no sick contacts. Of these 58, 36 (62.1%) received a CXR and none of them had any abnormal findings, 48 (82.8%) had RSV/flu testing, no patients tested positive for RSV and only one patient tested positive for flu. Costs of CXR and RSV/flu testing for this cohort was $19,788. Conclusion The absence of positive CXRs in this patient population reinforces the current recommendations that CXR is not indicated. The low incidence of RSV/flu indicate that routine testing may not be necessary in this population especially outside of the flu season. Reduced testing could decrease overall costs to the healthcare system as well as radiation exposure to this population.
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Kang BS, Lee SH, Kim WJ, Wie JH, Park IY, Ko HS. Influenza vaccination during pregnancy and influencing factors in Korea: A multicenter questionnaire study of pregnant women and obstetrics and gynecology doctors. BMC Pregnancy Childbirth 2021; 21:511. [PMID: 34271867 PMCID: PMC8285826 DOI: 10.1186/s12884-021-03984-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 07/07/2021] [Indexed: 01/13/2023] Open
Abstract
Background Although the World Health Organization and health authorities in most countries recommend that pregnant women receive inactivated influenza virus vaccines, coverage remains low. This study aimed to investigate (1) the proportion of pregnant women who received an influenza vaccination and influencing factors and (2) the proportion of obstetrics and gynecology (OBGYN) doctors who routinely recommend influenza vaccination to pregnant women and influencing factors. Methods Two separate, anonymized questionnaires were developed for physicians and pregnant and postpartum women and were distributed to multicenters and clinics in South Korea. The proportions of women who received influenza vaccination during pregnancy and OBGYN doctors who routinely recommend the influenza vaccine to pregnant women were analyzed. Independent influencing factors for both maternal influenza vaccination and OBGYN doctors’ routine recommendations to pregnant women were analyzed using log-binomial regression analysis. Results The proportion of self-reported influenza vaccination during pregnancy among 522 women was 63.2%. Pregnancy-related independent factors influencing maternal influenza vaccination were “(ever) received information about influenza vaccination during pregnancy” (OR 8.9, 95% CI 4.17–19.01), “received vaccine information about from OBGYN doctors” (OR 11.44, 95% CI 5.46–24.00), “information obtained from other sources” (OR 4.38, 95% CI 2.01–9.55), and “second/third trimester” (OR 2.41, 95% CI 1.21–4.82).. Among 372 OBGYN doctors, 76.9% routinely recommended vaccination for pregnant women. Independent factors effecting routine recommendation were “working at a private clinic or hospital” (OR 5.33, 95% CI 2.44–11.65), “awareness of KCDC guidelines” (OR 3.11, 95% CI 1.11–8.73), and “awareness of the 2019 national free influenza vaccination program for pregnant women” (OR 4.88, 95% CI 2.34–10.17). OBGYN doctors most commonly chose ‘guidelines proposed by the government or public health (108, 46%) and academic committees (59, 25%), as a factor which expect to affect the future recommendation Conclusion This study showed that providing information about maternal influenza vaccination, especially by OBGYN doctors, is crucial for increasing vaccination coverage in pregnant women. Closer cooperation between the government and OBGYN academic societies to educate OBGYN doctors might enhance routine recommendations. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-021-03984-2.
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Affiliation(s)
- Byung Soo Kang
- Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - San Ha Lee
- Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Woo Jeng Kim
- Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jeong Ha Wie
- Department of Obstetrics and Gynecology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - In Yang Park
- Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hyun Sun Ko
- Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
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Chong CY, Yung CF, Gan C, Thio ST, Tan NWH, Tee NWS, Lin C, Lin RTP, Thoon KC. The burden and clinical manifestation of hospitalized influenza among different pediatric age-groups in the tropics. Influenza Other Respir Viruses 2019; 14:46-54. [PMID: 31608598 PMCID: PMC6928028 DOI: 10.1111/irv.12692] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 09/10/2019] [Accepted: 09/11/2019] [Indexed: 12/17/2022] Open
Abstract
Introduction In tropical Singapore, influenza occurs all year‐round. This study of influenza‐confirmed hospitalized pediatric patients compared clinical characteristics and complications by age‐group and differences between influenza A and B. Methods This was a retrospective study of pediatric inpatients from January 2013 to December 2014. Patients were grouped into: <6 months, 6 months to <5 years, 5‐ to <10‐year and ≥10 years. Complications were classified into neurologic, pulmonary, and other. We also calculated the incidence of hospitalized influenza cases per 100 000 age‐related population. Results There were a total of 1272 patients with a median age of 37 months. The highest hospitalization rates were in the <6 months age‐group. Majority (75.2%) had no comorbidity; 25.6% had complications: neurologic 11.9%, pulmonary 9.6%, other 4.1%. Patients with other complications were older, male, and had the highest influenza B rates and the longest length of stay. Influenza A comprised 76.9% of cases and had higher complication rates especially neurologic, compared to influenza B. Influenza B patients were older and were more likely to develop other complications. The 6‐month to <5‐year‐age‐group had the highest complication rate (30.6%), especially neurologic. However, ≥10 years old had the highest other complications, ICU/ high‐dependency admissions and influenza B Victoria rates. Conclusions Infants <6 months had the highest hospitalization rates for influenza. The 6‐month to <5‐year‐age‐group had the highest complication rate especially neurologic. Influenza A patients were younger, had higher seizure rates and complications compared to influenza B.
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Affiliation(s)
- Chia-Yin Chong
- Infectious Diseases, Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Duke-NUS Medical School, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Chee-Fu Yung
- Infectious Diseases, Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,Duke-NUS Medical School, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Cherie Gan
- Singhealth Residency Programme, Singapore General Hospital, Singapore
| | - Szu-Tien Thio
- Infectious Diseases, Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Natalie Woon-Hui Tan
- Infectious Diseases, Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Duke-NUS Medical School, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Nancy Wen-Sim Tee
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Department of Laboratory Medicine, National University Hospital, Singapore
| | - Cui Lin
- National Public Health Laboratory, Ministry of Health, Singapore
| | - Raymond Tze-Pin Lin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Department of Laboratory Medicine, National University Hospital, Singapore.,National Public Health Laboratory, Ministry of Health, Singapore
| | - Koh-Cheng Thoon
- Infectious Diseases, Department of Paediatrics, KK Women's and Children's Hospital, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Duke-NUS Medical School, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
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Kuppermann N, Dayan PS, Levine DA, Vitale M, Tzimenatos L, Tunik MG, Saunders M, Ruddy RM, Roosevelt G, Rogers AJ, Powell EC, Nigrovic LE, Muenzer J, Linakis JG, Grisanti K, Jaffe DM, Hoyle JD, Greenberg R, Gattu R, Cruz AT, Crain EF, Cohen DM, Brayer A, Borgialli D, Bonsu B, Browne L, Blumberg S, Bennett JE, Atabaki SM, Anders J, Alpern ER, Miller B, Casper TC, Dean JM, Ramilo O, Mahajan P. A Clinical Prediction Rule to Identify Febrile Infants 60 Days and Younger at Low Risk for Serious Bacterial Infections. JAMA Pediatr 2019; 173:342-351. [PMID: 30776077 PMCID: PMC6450281 DOI: 10.1001/jamapediatrics.2018.5501] [Citation(s) in RCA: 206] [Impact Index Per Article: 41.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
IMPORTANCE In young febrile infants, serious bacterial infections (SBIs), including urinary tract infections, bacteremia, and meningitis, may lead to dangerous complications. However, lumbar punctures and hospitalizations involve risks and costs. Clinical prediction rules using biomarkers beyond the white blood cell count (WBC) may accurately identify febrile infants at low risk for SBIs. OBJECTIVE To derive and validate a prediction rule to identify febrile infants 60 days and younger at low risk for SBIs. DESIGN, SETTING, AND PARTICIPANTS Prospective, observational study between March 2011 and May 2013 at 26 emergency departments. Convenience sample of previously healthy febrile infants 60 days and younger who were evaluated for SBIs. Data were analyzed between April 2014 and April 2018. EXPOSURES Clinical and laboratory data (blood and urine) including patient demographics, fever height and duration, clinical appearance, WBC, absolute neutrophil count (ANC), serum procalcitonin, and urinalysis. We derived and validated a prediction rule based on these variables using binary recursive partitioning analysis. MAIN OUTCOMES AND MEASURES Serious bacterial infection, defined as urinary tract infection, bacteremia, or bacterial meningitis. RESULTS We derived the prediction rule on a random sample of 908 infants and validated it on 913 infants (mean age was 36 days, 765 were girls [42%], 781 were white and non-Hispanic [43%], 366 were black [20%], and 535 were Hispanic [29%]). Serious bacterial infections were present in 170 of 1821 infants (9.3%), including 26 (1.4%) with bacteremia, 151 (8.3%) with urinary tract infections, and 10 (0.5%) with bacterial meningitis; 16 (0.9%) had concurrent SBIs. The prediction rule identified infants at low risk of SBI using a negative urinalysis result, an ANC of 4090/µL or less (to convert to ×109 per liter, multiply by 0.001), and serum procalcitonin of 1.71 ng/mL or less. In the validation cohort, the rule sensitivity was 97.7% (95% CI, 91.3-99.6), specificity was 60.0% (95% CI, 56.6-63.3), negative predictive value was 99.6% (95% CI, 98.4-99.9), and negative likelihood ratio was 0.04 (95% CI, 0.01-0.15). One infant with bacteremia and 2 infants with urinary tract infections were misclassified. No patients with bacterial meningitis were missed by the rule. The rule performance was nearly identical when the outcome was restricted to bacteremia and/or bacterial meningitis, missing the same infant with bacteremia. CONCLUSIONS AND RELEVANCE We derived and validated an accurate prediction rule to identify febrile infants 60 days and younger at low risk for SBIs using the urinalysis, ANC, and procalcitonin levels. Once further validated on an independent cohort, clinical application of the rule has the potential to decrease unnecessary lumbar punctures, antibiotic administration, and hospitalizations.
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Affiliation(s)
- Nathan Kuppermann
- Departments of Emergency Medicine and Pediatrics, University of California, Davis School of Medicine, Sacramento
| | - Peter S. Dayan
- Division of Emergency Medicine, Department of Pediatrics, Columbia University College of Physicians and Surgeons, New York, New York
| | - Deborah A. Levine
- Department of Pediatrics, Bellevue Hospital, New York University Langone Medical Center, New York, New York
| | - Melissa Vitale
- Division of Emergency Medicine, Department of Pediatrics, Children’s Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Leah Tzimenatos
- Department of Emergency Medicine, University of California, Davis School of Medicine, Sacramento
| | - Michael G. Tunik
- Department of Pediatrics, Bellevue Hospital, New York University Langone Medical Center, New York, New York
| | - Mary Saunders
- Department of Pediatrics, Children’s Hospital of Wisconsin, Medical College of Wisconsin, Milwaukee,Children’s Hospital of Colorado, University of Colorado School of Medicine, Aurora
| | - Richard M. Ruddy
- Division of Emergency Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Genie Roosevelt
- Department of Pediatrics, The Colorado Children’s Hospital, University of Colorado, Denver
| | - Alexander J. Rogers
- Departments of Emergency Medicine and Pediatrics, University of Michigan School of Medicine, Ann Arbor
| | - Elizabeth C. Powell
- Division of Emergency Medicine, Department of Pediatrics, Ann & Robert H. Lurie Children’s Hospital, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Lise E. Nigrovic
- Division of Emergency Medicine, Department of Pediatrics, Boston Children’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jared Muenzer
- Division of Emergency Medicine, Department of Pediatrics, St Louis Children’s Hospital, Washington University, St Louis, Missouri,Division of Emergency Medicine, Phoenix Children’s Hospital, Phoenix, Arizona
| | - James G. Linakis
- Department of Emergency Medicine and Pediatrics, Hasbro Children’s Hospital, Providence, Rhode Island,Brown University School of Medicine, Providence, Rhode Island
| | - Kathleen Grisanti
- Department of Pediatrics, Women and Children’s Hospital of Buffalo, State University of New York at Buffalo School of Medicine
| | - David M. Jaffe
- Division of Emergency Medicine, Department of Pediatrics, St Louis Children’s Hospital, Washington University, St Louis, Missouri
| | - John D. Hoyle
- Department of Emergency Medicine, Helen DeVos Children’s Hospital of Spectrum Health, Grand Rapids, Michigan,Departments of Emergency Medicine and Pediatrics, Western Michigan University Homer Stryker MD School of Medicine, Kalamazoo
| | - Richard Greenberg
- Division of Emergency Medicine, Department of Pediatrics, Primary Children’s Medical Center, University of Utah, Salt Lake City
| | - Rajender Gattu
- Division of Emergency Medicine, Department of Pediatrics, University of Maryland Medical Center, Baltimore
| | - Andrea T. Cruz
- Sections of Emergency Medicine and Infectious Diseases, Department of Pediatrics, Texas Children’s Hospital, Baylor College of Medicine, Houston
| | - Ellen F. Crain
- Department of Pediatrics, Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Daniel M. Cohen
- Division of Emergency Medicine, Department of Pediatrics, Nationwide Children’s Hospital, Columbus, Ohio,The Ohio State University School of Medicine, Columbus
| | - Anne Brayer
- Departments of Emergency Medicine and Pediatrics, University of Rochester Medical Center, Rochester, New York
| | - Dominic Borgialli
- Department of Emergency Medicine, Hurley Medical Center, Flint, Michigan,University of Michigan School of Medicine, Ann Arbor
| | - Bema Bonsu
- Division of Emergency Medicine, Department of Pediatrics, Nationwide Children’s Hospital, Columbus, Ohio,The Ohio State University School of Medicine, Columbus
| | - Lorin Browne
- Departments of Pediatrics and Emergency Medicine, Children’s Hospital of Wisconsin, Medical College of Wisconsin, Milwaukee
| | - Stephen Blumberg
- Department of Pediatrics, Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Jonathan E. Bennett
- Division of Emergency Medicine, Alfred I. duPont Hospital for Children, Nemours Children’s Health System, Thomas Jefferson School of Medicine, Wilmington, Delaware
| | - Shireen M. Atabaki
- Division of Emergency Medicine, Department of Pediatrics, Children’s National Medical Center, The George Washington School of Medicine and Health Sciences, Washington, DC
| | - Jennifer Anders
- Department of Pediatrics, Johns Hopkins University, Baltimore, Maryland
| | - Elizabeth R. Alpern
- Division of Emergency Medicine, Department of Pediatrics, Children’s Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia,Ann and Robert H. Lurie Children’s Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Benjamin Miller
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
| | - T. Charles Casper
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
| | - J. Michael Dean
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City
| | - Octavio Ramilo
- The Ohio State University School of Medicine, Columbus,Division of Pediatric Infectious Diseases and Center for Vaccines and Immunity, Nationwide Children’s Hospital, Columbus, Ohio
| | - Prashant Mahajan
- Division of Emergency Medicine, Department of Pediatrics, Children's Hospital of Michigan, Wayne State University, Detroit, Michigan,Department of Emergency Medicine, University of Michigan School of Medicine, Ann Arbor
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