Can Habitus Adapted Length Based Body Weight Estimation be Improved by Adding Further Parameters?
Including MUC
Evaluation of an Algorithm for Gender Specific and Habitus Adapted Length Based Body Weight Estimation in Children - Improvement by Adding Another Parameter?
1 other identifier
observational
495
1 country
1
Brief Summary
The purpose of this prospective single center study is to investigate if the accuracy of length based body weight estimation by the already investigated algorithm (CLAWAR) can be improved by adding another parameter. For this study 500 patients are required to collect anonymized data (length, weight, age, mid upperarm circumference and patient habitus by visual estimation) for achieving a power of 80% during statistical analysis. The main hypothesis ist that CLAWAR's accuracy can be improved.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2016
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2016
CompletedFirst Submitted
Initial submission to the registry
October 10, 2016
CompletedFirst Posted
Study publicly available on registry
October 12, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2019
CompletedNovember 10, 2020
November 1, 2020
1.3 years
October 10, 2016
November 9, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
length-based weight-estimation by algorithm
Habitus adapted weight estimation based on visual habitus classification compared to weight estimation by the modified algorithm CLAWAR utilizing mid upperarm circumference
during procedure
Study Arms (1)
Accuracy of weight estimation
Computer based comparison of the two algorithms based on collected patient data
Interventions
Eligibility Criteria
Pediatric patients planned for elecitve surgery in general anaesthesia
You may qualify if:
- body length suitable with the investigated algorithm
- all patients aged 0 -16 years
You may not qualify if:
- already included in this study once
- missing patient or parental consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University Childrens Hospital
Zurich, 8051, Switzerland
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Alexander R Schmidt, MD
University Children's Hospital Zurich, Department of Anaesthesia
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 10, 2016
First Posted
October 12, 2016
Study Start
October 1, 2016
Primary Completion
January 1, 2018
Study Completion
December 1, 2019
Last Updated
November 10, 2020
Record last verified: 2020-11
Data Sharing
- IPD Sharing
- Will not share