Nisa S. Atigapramoj
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Nisa S. Atigapramoj has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
- Allyson Sage
Department of Emergency Medicine University of California Davis School of Medicine Sacramento, CA United States
1 shared publication - Daniel Joseph Tancredi
Department of Pediatrics, University of California Davis School of Medicine, Sacramento, California, USA
1 shared publication - David Adelson
Department of Neurosurgery, West Virginia University School of Medicine, Morgantown, West Virginia
1 shared publication - Donovan Nielsen
Department of Emergency Medicine University of California Davis School of Medicine Sacramento, CA United States
1 shared publication - Irma T. Ugalde
Department of Pediatrics University of Chicago Pritzker School of Medicine Chicago Illinois USA
1 shared publication - James Frederick Holmes
Department of Emergency Medicine UC Davis School of Medicine Sacramento California USA
1 shared publication
Latest Publications
- Open Access
- 24 November 2022
- Published by JMIR Publications Inc. in JMIR Research Protocols
- Vol. 11 (11) , e43027
Validation of Prediction Rules for Computed Tomography Use in Children With Blunt Abdominal or Blunt Head Trauma: Protocol for a Prospective Multicenter Observational Cohort Study
Background: Traumatic brain injuries (TBIs) and intra-abdominal injuries (IAIs) are 2 leading causes of traumatic death and disability in children. To avoid missed or delayed diagnoses leading to increased morbidity, computed tomography (CT) is used liberally. However, the overuse of CT leads to inefficient care and radiation-induced malignancies. Therefore, to maximize precision and minimize the overuse of CT, the Pediatric Emergency Care Applied Research Network (PECARN) previously derived clinical prediction rules for identifying children at high risk and very low risk for IAIs undergoing acute intervention and clinically important TBIs after blunt trauma in large cohorts of children who are injured. Objective: This study aimed to validate the IAI and age-based TBI clinical prediction rules for identifying children at high risk and very low risk for IAIs undergoing acute intervention and clinically important TBIs after blunt trauma. Methods: This was a prospective 6-center observational study of children aged 24 hours for TBI, or hospital admission of ≥2 nights due to a TBI on CT). Prediction rule accuracy was assessed by measuring rule classification performance, using standard point and 95% CI estimates of the operational characteristics of each prediction rule (sensitivity, specificity, positive and negative predictive values, and diagnostic likelihood ratios). Results: The project was funded in 2016, and enrollment was completed on September 1, 2021. Data analyses are expected to be completed by December 2022, and the primary study results are expected to be submitted for publication in 2023. Conclusions: This study will attempt to validate previously derived clinical prediction rules to accurately identify children at high and very low risk for clinically important IAIs and TBIs. Assuming successful validation, widespread implementation is then indicated, which will optimize the care of children who are injured by better aligning CT use with need. International Registered Report Identifier (IRRID): RR1-10.2196/43027
- 24 November 2022
- Published by JMIR Publications Inc. in JMIR Research Protocols
- Vol. 11 (11) , e43027
Open AccessValidation of Prediction Rules for Computed Tomography Use in Children With Blunt Abdominal or Blunt Head Trauma: Protocol for a Prospective Multicenter Observational Cohort Study
Background: Traumatic brain injuries (TBIs) and intra-abdominal injuries (IAIs) are 2 leading causes of traumatic death and disability in children. To avoid missed or delayed diagnoses leading to increased morbidity, computed tomography (CT) is used liberally. However, the overuse of CT leads to inefficient care and radiation-induced malignancies. Therefore, to maximize precision and minimize the overuse of CT, the Pediatric Emergency Care Applied Research Network (PECARN) previously derived clinical prediction rules for identifying children at high risk and very low risk for IAIs undergoing acute intervention and clinically important TBIs after blunt trauma in large cohorts of children who are injured. Objective: This study aimed to validate the IAI and age-based TBI clinical prediction rules for identifying children at high risk and very low risk for IAIs undergoing acute intervention and clinically important TBIs after blunt trauma. Methods: This was a prospective 6-center observational study of children aged 24 hours for TBI, or hospital admission of ≥2 nights due to a TBI on CT). Prediction rule accuracy was assessed by measuring rule classification performance, using standard point and 95% CI estimates of the operational characteristics of each prediction rule (sensitivity, specificity, positive and negative predictive values, and diagnostic likelihood ratios). Results: The project was funded in 2016, and enrollment was completed on September 1, 2021. Data analyses are expected to be completed by December 2022, and the primary study results are expected to be submitted for publication in 2023. Conclusions: This study will attempt to validate previously derived clinical prediction rules to accurately identify children at high and very low risk for clinically important IAIs and TBIs. Assuming successful validation, widespread implementation is then indicated, which will optimize the care of children who are injured by better aligning CT use with need. International Registered Report Identifier (IRRID): RR1-10.2196/43027
- 1 August 2021
- Published by Elsevier in Emergency Medicine Clinics of North America
- Vol. 39 (3) , 589-603
Child Maltreatment and Neglect
- 1 August 2021
- Published by Elsevier in Emergency Medicine Clinics of North America
- Vol. 39 (3) , 589-603
Child Maltreatment and Neglect
- 21 April 2018
- Published by Wiley in Academic Emergency Medicine
- Vol. 25 (9) , 1079
Pediatric Emergency Medicine: Chief Complaints and Differential Diagnosis By RebeccaJeanmonod, Shellie L.Asher, BlakeSpirko, and Denis R.PauzéCambridge: Cambridge University Press, 2017; 318 pp; $49.99 (Paperback, eBook).
- 21 April 2018
- Published by Wiley in Academic Emergency Medicine
- Vol. 25 (9) , 1079
Pediatric Emergency Medicine: Chief Complaints and Differential Diagnosis By RebeccaJeanmonod, Shellie L.Asher, BlakeSpirko, and Denis R.PauzéCambridge: Cambridge University Press, 2017; 318 pp; $49.99 (Paperback, eBook).