Current Publications in Pediatric Simulation

Newly Published Pediatric Simulation Articles for July 2021

  1. AbuMaziad AS, Thaker TM, Tomasiak TM, Chong CC, Galindo MK, Hoyme HE. The role of novel COQ8B mutations in glomerulopathy and related kidney defects. Am J Med Genet A [Internet]. 2021;185(1):60–7. Available from: http://www.doi.org/10.1002/ajmg.a.61909
  2. Akarca D, Vértes PE, Bullmore ET, Astle DE. A generative network model of neurodevelopmental diversity in structural brain organization. Nat Commun [Internet]. 2021;12(1):4216. Available from: http://www.doi.org/10.1002/ajmg.a.61909
  3. Alarcón-Yaquetto DE, Tincopa JP, Guillén-Pinto D, Bailon N, Cárcamo CP. Effect of augmented reality books in salivary cortisol levels in hospitalized pediatric patients: A randomized cross-over trial. Int J Med Inform [Internet]. 2021;148:104404. Available from: http://www.doi.org/10.1016/j.ijmedinf.2021.104404
  4. Alberini G, Benfenati F, Maragliano L. Structural Mechanism of ω-Currents in a Mutated Kv7.2 Voltage Sensor Domain from Molecular Dynamics Simulations. J Chem Inf Model [Internet]. 2021;61(3):1354–67. Available from: http://www.doi.org/10.1021/acs.jcim.0c01407
  5. Andersen SAW, Bergman M, Keith JP, Powell KA, Hittle B, Malhotra P, et al. Segmentation of Temporal Bone Anatomy for Patient-Specific Virtual Reality Simulation. Ann Otol Rhinol Laryngol [Internet]. 2021;130(7):724–30. Available from: http://www.doi.org/10.1177/0003489420970217
  6. Aubert O, Wagner R, Gerardo R, Tamaro G, Zani A, Ponsky T, et al. Virtual Education in Pediatric Surgery during the COVID-19 Era: Facing and Overcoming Current Challenges. Eur J Pediatr Surg [Internet]. 2021;31(4):319–25. Available from: http://www.doi.org/10.1055/s-0041-1731297
  7. Bachmann KF, Vasireddy R, Heinisch PP, Jenni H, Vogt A, Berger D. Estimating cardiac output based on gas exchange d uring veno-arterial extracorporeal membrane oxygenation in a simulation study using paediatric oxygenators. Sci Rep [Internet]. 2021;11(1):11528. Available from: http://www.doi.org/10.1038/s41598-021-90747-w
  8. Badke CM, Friedman ML, Harris ZL, McCarthy-Kowols M, Tran S. Impact of an untrained CPR Coach in simulated pediatric cardiopulmonary arrest: A pilot study. Resusc plus [Internet]. 2020;4:100035. Available from: http://www.doi.org/10.1016/j.resplu.2020.100035
  9. Bi W, Zhou W, Dey R, Mukherjee B, Sampson JN, Lee S. Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes. Am J Hum Genet [Internet]. 2021;108(5):825–39. Available from: http://www.doi.org/10.1016/j.ajhg.2021.03.019
  10. Cartocci A, Cevenini G, Barbini P. A compartment modeling approach to reconstruct and analyze gender and age-grouped CoViD-19 Italian data for decision-making strategies. J Biomed Inform [Internet]. 2021;118:103793. Available from: http://www.doi.org/10.1016/j.jbi.2021.103793
  11. Cen J, Liufu R, Wen S, Qiu H, Liu X, Chen X, et al. Three-Dimensional Printing, Virtual Reality and Mixed Reality for Pulmonary Atresia: Early Surgical Outcomes Evaluation. Heart Lung Circ [Internet]. 2021;30(2):296–302. Available from: http://www.doi.org/10.1016/j.hlc.2020.03.017
  12. Cheung CR, Finnemore A, Handforth J, Bohmer R, Christiansen N, Miller O. Developing new models of care at speed: learning from healthcare redesign for children with COVID-related multisystem inflammation. Arch Dis Child [Internet]. 2021;106(6):528–32. Available from: http://www.doi.org/10.1136/archdischild-2020-320358
  13. Chung SA, Choi J, Jeong S, Ko J. Block-building performance test using a virtual reality head-mounted display in children with intermittent exotropia. Eye (Lond) [Internet]. 2021;35(6):1758–65. Available from: http://www.doi.org/10.1038/s41433-020-01160-y
  14. Coelho G, Rabelo NN, Varjão E, Marie T, Brito D, Del Massa EC, et al. A hybrid simulation model for pre-operative planning of transsphenoidal encephalocele. Neurosurg Rev [Internet]. 2021;44(3):1767–74. Available from: http://www.doi.org/10.1007/s10143-020-01361-9
  15. Collier JJ, Guissart C, Oláhová M, Sasorith S, Piron-Prunier F, Suomi F, et al. Developmental Consequences of Defective ATG7-Mediated Autophagy in Humans. N Engl J Med [Internet]. 2021;384(25):2406–17. Available from: http://www.doi.org/10.1056/NEJMoa1915722
  16. da Silva JGV, Vieira AT, Sousa TJ, Viana MVC, Parise D, Sampaio B, et al. Comparative genomics and in silico gene evaluation involved in the probiotic potential of Bifidobacterium longum 5(1A). Gene [Internet]. 2021;795:145781. Available from: http://www.doi.org/10.1016/j.gene.2021.145781
  17. Donato L, Abdalla EM, Scimone C, Alibrandi S, Rinaldi C, Nabil KM, et al. Impairments of Photoreceptor Outer Segments Renewal and Phototransduction Due to a Peripherin Rare Haplotype Variant: Insights from Molecular Modeling. Int J Mol Sci [Internet]. 2021;22(7). Available from: http://www.doi.org/10.3390/ijms22073484
  18. Donoghue A, Heard D, Griffin R, Abbadessa MK, Gaines S, Je S, et al. Longitudinal effect of high frequency training on CPR performance during simulated and actual pediatric cardiac arrest. Resusc plus [Internet]. 2021;6:100117. Available from: http://www.doi.org/10.1016/j.resplu.2021.100117
  19. Duff J, Curnen K, Reed A, Kranz C. Engaging parents of hospitalized neonates during a pandemic. J Neonatal Nurs [Internet]. 2021;27(3):185–7. Available from: http://www.doi.org/10.1016/j.jnn.2020.11.013
  20. EbrahimiSani S, Sohrabi M, Taheri H, Agdasi MT, Amiri S. Effects of virtual reality training intervention on predictive motor control of children with DCD – A randomized controlled trial. Res Dev Disabil [Internet]. 2020;107:103768. Available from: http://www.doi.org/10.1016/j.ridd.2020.103768
  21. Felemban OM, Alshamrani RM, Aljeddawi DH, Bagher SM. Effect of virtual reality distraction on pain and anxiety during infiltration anesthesia in pediatric patients: a randomized clinical trial. BMC Oral Health [Internet]. 2021;21(1):321. Available from: http://www.doi.org/10.1186/s12903-021-01678-x
  22. Grabowski A, Chuisano SA, Strock K, Zielinski R, Anderson OS, Sadovnikova A. A pilot study to evaluate the effect of classroom-based high-fidelity simulation on midwifery students’ self-efficacy in clinical lactation and perceived translation of  skills to the care of the breastfeeding mother-infant dyad. Midwifery [Internet]. 2021;102:103078. Available from: http://www.doi.org/10.1016/j.midw.2021.103078
  23. Hossain SS, Starosolski Z, Sanders T, Johnson MJ, Wu MCH, Hsu M-C, et al. Image-based patient-specific flow simulations are consistent with stroke in pediatric cerebrovascular disease. Biomech Model Mechanobiol [Internet]. 2021; Available from: http://www.doi.org/10.1007/s10237-021-01495-9
  24. Islam A, Sayeed MA, Rahman MK, Zamil S, Abedin J, Saha O, et al. Assessment of basic reproduction number (R(0)), spatial and temporal epidemiological determinants, and genetic characterization of SARS-CoV-2 in Bangladesh. Infect Genet Evol [Internet]. 2021;92:104884. Available from: http://www.doi.org/10.1016/j.meegid.2021.104884
  25. Kan Öntürk Z, Kanığ M, Aslan E, Kuğuoğlu S. Reflection of Learning Styles on Students’ Anxiety and Learning Levels in Simulation Education: An Obstetrics and Neonatology Nursing Experience. Florence Nightingale J Nurs [Internet]. 2021;29(2):186–93. Available from: http://www.doi.org/10.5152/FNJN.2021.19173
  26. Koirala A, Yu Z, Schiltz H, Van Hecke A, Armstrong B, Zheng Z. A Preliminary Exploration of Virtual Reality-Based Visual and Touch Sensory Processing Assessment for Adolescents With Autism Spectrum Disorder. IEEE Trans Neural Syst Rehabil Eng [Internet]. 2021;29:619–28. Available from: http://www.doi.org/10.1109/TNSRE.2021.3064148
  27. Kothari K, Zuger C, Desai N, Leonard J, Alletag M, Balakas A, et al. Effect of Repetitive Simulation Training on Emergency Medical Services Team Performance in Simulated Pediatric Medical Emergencies. AEM Educ Train [Internet]. 2021;5(3):e10537. Available from: http://www.doi.org/10.1002/aet2.10537
  28. Kruizinga MD, Stuurman FE, Driessen GJA, Cohen AF, Bergmann KR, van Esdonk MJ. Theoretical Performance of Nonlinear Mixed-Effect Models Incorporating Saliva as an Alternative Sampling Matrix for Therapeutic Drug Monitoring in Pediatrics: A  Simulation Study. Ther Drug Monit [Internet]. 2021;43(4):546–54. Available from: http://www.doi.org/10.1097/FTD.0000000000000904
  29. Lopez-Pintado S, Qian K. A depth-based global envelope test for comparing two groups of functions with applications to biomedical data. Stat Med [Internet]. 2021;40(7):1639–52. Available from: http://www.doi.org/10.1002/sim.8861
  30. Mandell JG, Loke Y-H, Mass PN, Opfermann J, Cleveland V, Aslan S, et al. Aorta size mismatch predicts decreased exercise capacity in patients with successfully repaired coarctation of the aorta. J Thorac Cardiovasc Surg [Internet]. 2021;162(1):183-192.e2. Available from: http://www.doi.org/10.1016/j.jtcvs.2020.09.103
  31. Mariscal MG, Levin AR, Gabard-Durnam LJ, Xie W, Tager-Flusberg H, Nelson CA. EEG Phase-Amplitude Coupling Strength and Phase Preference: Association with Age over the First Three Years after Birth. eNeuro [Internet]. 2021;8(3). Available from: http://www.doi.org/10.1523/ENEURO.0264-20.2021
  32. Ordonez Diaz T, Nichols JA. Anthropometric scaling of musculoskeletal models of the hand captures age-dependent differences in lateral pinch force. J Biomech [Internet]. 2021;123:110498. Available from: http://www.doi.org/10.1016/j.jbiomech.2021.110498
  33. Orner ME, Miltenberger RG, Maxfield T. Evaluating small‐scale simulation training of firearm safety to children with autism spectrum disorder. Behav Interv [Internet]. 2021;36(3):561–71. Available from: http://www.doi.org/10.1002/bin.1790
  34. Parashar A, Shukla A, Sharma A, Behl T, Goswami D, Mehta V. Reckoning γ-Glutamyl-S-allylcysteine as a potential main protease (m(pro)) inhibitor of novel SARS-CoV-2 virus identified using docking and molecular dynamics  simulation. Drug Dev Ind Pharm [Internet]. 2021;47(5):699–710. Available from: http://www.doi.org/10.1080/03639045.2021.1934857
  35. Pasha S. The sagittal curvature of the spine can be a leading cause of scoliosis in pediatric spine. Stud Health Technol Inform [Internet]. 2021;280:9–13. Available from: http://www.doi.org/10.3233/SHTI210424
  36. Petersen IT, LeBeau B, Choe DE. Creating a Developmental Scale to Account for Heterotypic Continuity in Development: A Simulation Study. Child Dev [Internet]. 2021;92(1):e1–19. Available from: http://www.doi.org/10.1111/cdev.13433
  37. Praet A, Bourguignon L, Vetele F, Breant V, Genestet C, Dumitrescu O, et al. Population pharmacokinetic modeling and dosing simulations of tobramycin in pediatric patients with cystic fibrosis. Antimicrob Agents Chemother [Internet]. 2021;AAC0073721. Available from: http://www.doi.org/10.1128/AAC.00737-21
  38. Rahman A, Kuddus MA. Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries. Biomed Res Int [Internet]. 2021;2021:5089184. Available from: http://www.doi.org/10.1155/2021/5089184
  39. Rashwan ZI, El Sheshtawy OR, Abdelhalim GE, Eweida RS, Khamis GM. Scenario-based clinical simulation: Bridging the gap between intern-students’ anxiety and provision of holistic nursing care for preterm neonates. Nurse Educ Pract [Internet]. 2021;54:103121. Available from: http://www.doi.org/10.1016/j.nepr.2021.103121
  40. Ross J, Goldschmidt K. The Use of Live-Stream Virtual Visits for Parents in the Neonatal Intensive Care Unit (NICU). J Pediatr Nurs [Internet]. 2021;59:198–9. Available from: http://www.doi.org/10.1016/j.pedn.2021.04.012
  41. Rubtsova E, Markov A, Selishchev S, Karimov JH, Telyshev D. Mathematical modeling of the Fontan blood circulation supported with pediatric ventricular assist device. Comput Methods Biomech Biomed Engin [Internet]. 2021;24(6):653–62. Available from: http://www.doi.org/10.1080/10255842.2020.1843640
  42. Rufach D, Santos S, Terebiznik M. Simulation of pediatric intubation using a low-cost videolaryngoscope in the setting of the COVID-19 pandemic. Arch Argent Pediatr [Internet]. 2021;119(4):270–2. Available from: http://www.doi.org/10.5546/aap.2021.eng.270
  43. Russell C, Mullaney K, Campbell T, Sabado J, Haut C. Outcomes of a Pediatric Ultrasound-Guided Short Peripheral Catheter Training Program and Hands-On Poultry Simulation Course. J Infus Nurs [Internet]. 2021;44(4):204–15. Available from: http://www.doi.org/10.1097/NAN.0000000000000427
  44. Schündeln MM, Lange T, Knoll M, Spix C, Brenner H, Bozorgmehr K, et al. Methods of spatial cluster detection in rare childhood cancers: Benchmarking data and results from a simulation study on nephroblastoma. Data Br [Internet]. 2021;34:106683. Available from: http://www.ncbi.nlm.nih.gov/pubmed/33426242
  45. Sip V, Scholly J, Guye M, Bartolomei F, Jirsa V. Evidence for spreading seizure as a cause of theta-alpha activity electrographic pattern in stereo-EEG seizure recordings. PLoS Comput Biol [Internet]. 2021;17(2):e1008731. Available from: http://www.doi.org/10.1371/journal.pcbi.1008731
  46. Smirnov V, Grunewald O, Muller J, Zeitz C, Obermaier CD, Devos A, et al. Novel TTLL5 Variants Associated with Cone-Rod Dystrophy and Early-Onset Severe Retinal Dystrophy. Int J Mol Sci [Internet]. 2021;22(12). Available from: http://www.doi.org/10.3390/ijms22126410
  47. Solano T, Mittal R, Shoele K. One size fits all?: A simulation framework for face-mask fit on population-based faces. PLoS One [Internet]. 2021;16(6):e0252143. Available from: http://www.doi.org/10.1371/journal.pone.0252143
  48. Song JW. Preoperative simulation of endotracheal intubation for selection of proper tube size in pediatric patients. Korean J Anesthesiol [Internet]. 2021; Available from: http://www.doi.org/10.4097/kja.21291
  49. Ulmer FF, Lutz AM, Müller F, Riva T, Bütikofer L, Greif R. Communication Patterns During Routine Patient Care in a Pediatric Intensive Care Unit: The Behavioral Impact of In Situ Simulation. J Patient Saf [Internet]. 2021; Available from: http://www.doi.org/10.1097/PTS.0000000000000872
  50. van den Bos-Boon A, Hekman S, Houmes R-J, Vloet L, Gischler S, van der Starre C, et al. Effectiveness of Simulation Training and Assessment of PICU Nurses’ Resuscitation Skills: A Mixed Methods Study from the Netherlands. J Pediatr Nurs [Internet]. 2021;59:e52–60. Available from: http://www.doi.org/10.1016/j.pedn.2021.01.029
  51. Vigil C, Lasso A, Ghosh RM, Pinter C, Cianciulli A, Nam HH, et al. Modeling Tool for Rapid Virtual Planning of the Intracardiac Baffle in Double-Outlet Right Ventricle. Ann Thorac Surg [Internet]. 2021;111(6):2078–83. Available from: http://www.doi.org/10.1016/j.athoracsur.2021.02.058
  52. Wagner M, Gröpel P, Eibensteiner F, Kessler L, Bibl K, Gross IT, et al. Visual attention during pediatric resuscitation with feedback devices: a randomized simulation study. Pediatr Res [Internet]. 2021; Available from: http://www.doi.org/10.1038/s41390-021-01653-w
  53. Watanabe F, Kojima T. A novel inexpensive and instantly-creatable simulator for the training of ultrasound-guided peripheral vascular access in infants. J Clin Anesth [Internet]. 2021;73:110381. Available from: http://www.doi.org/10.1016/j.jclinane.2021.110381
  54. Zargham S, Hanson A, Laniewicz M, Sandquist M, Kessler DO, Gilbert GE, et al. Psychometric Testing of the Debriefing Assessment for Simulation in Healthcare (DASH) for Trainee-led, In Situ Simulations in the Pediatric Emergency Department  Context. AEM Educ Train [Internet]. 2021;5(2):e10482. Available from: http://www.doi.org/10.1002/aet2.10482








I am a UK-trained Neonatologist working in Starship NICU in Auckland, New Zealand. I am a member of the Douglas Starship Simulation faculty and lead the simulation programmer in NICU. My key simulation interests include education, communication and patient safety. I have been an active member of IPSS since 2011, member of the Education Committee since 2012, am a past Co-Chair of the Education Committee (2017-2018) and a current member of the Board of Directors. In collaboration with others, I established the IPSS-INSPIRE Fellowship in 2018 and am on the working group leading this initiative. My vision for IPSS is to continue to support collaborative knowledge sharing and research development in the pediatric and perinatal simulation community. My wish for IPSS is to see an increasing number of non-physician members and to support and develop the ability of those still at the early stage of simulation.



Dr. Carl Horsley

Intensivist, Counties Manukau Health, Auckland, New Zealand

Clinical Lead for Patient Safety, Health Quality and Safety Commission, New Zealand

Dr. Carl Horsley dual trained in Emergency Medicine and Intensive Care, and works clinically in the Critical Care Complex of Middlemore Hospital in Auckland, New Zealand. As part of his work there, he developed an in-situ simulation program specifically focused on building the adaptive capacity of the ICU team. This was put to the test in the Whakaari volcanic eruption with Middlemore being the national burns centre responding to a mass casualty event.

Carl is currently completing an MSc in Human Factors and System Safety at Lund University, Sweden with a thesis focusing on the sociology of safety.  He is also part of the Resilient Healthcare Society which is an international collaboration exploring the implications of resilience engineering in healthcare. As Clinical Lead for Patient Safety at the Health Quality Safety Commission, Carl is also involved in developing innovative approaches that support “work-as-done” by frontline to improve both patient care and staff wellbeing. He has published several book chapters on resilient healthcare and presented widely on the topic.


Dr. Andrew Petrosoniak

Emergency Physician & Trauma Team Leader, Assistant Professor

St. Michael’s Hospital and University of Toronto

Following an unsuccessful career as an intramural basketball player, Dr. Petrosoniak now works as an emergency physician and trauma team leader at St. Michael’s Hospital. He’s an assistant professor at the University of Toronto and an associate scientist at the Li Ka Shing Knowledge Institute. He’s the lead for translational simulation at St. Michael’s Hospital which involves the application of simulation techniques to identify issues and support the design of solutions related to healthcare delivery and improving health service outcomes.

More accurately, he seeks to reduce the number of F-bombs by providers linked to poor system/space design in healthcare. He also applies this work in the private sector as the co-founder of Advanced Performance Healthcare Design, a design and consulting firm that uses multi-modal simulation techniques to inform the design of clinical infrastructure, equipment and high performing teams.




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