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NCT Number: NCT02930928

Can Habitus Adapted Length Based Body Weight Estimation be Improved by Adding Further Parameters?

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.

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Key information

Conditions

Weight-Estimation Body Weight Pathological Conditions, Signs and Symptoms Signs and Symptoms

Age range

1 day–16 year

Sex eligibility

All sexes

Study type

Observational

Primary location

University Childrens Hospital

Zurich, 8051, Switzerland

About this study

This prospective single center study is performed at the university children's Hospital zurich. Patients planned for surgery in general anaesthesia with intubation, aged 0 to 16 years and with a body length suitable for CLAWAR. Patient and parental information is performed during the pre-anaesthetic visit.

After written consent the patient will be included. Patient ́s length and weight will be measures earliest one day before data collection. Data collection during anaesthesia has no influence on the daily anaesthesia routine and has no impact on patient safety and anaesthesia. Patient's data is made anonymous for further inspection. Data is documented in Microsoft Excel and statistical analysis calculated with SPSS.

500 patients are needed for a power of 80%. Primary outcome parameter is the accuracy of length based weight estimation using either patient habitus by visual estimation or an improved version of the algorithm CLAWAR using the mid upperarm circumference.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • body length suitable with the investigated algorithm
  • all patients aged 0 -16 years

Exclusion criteria

  • already included in this study once
  • missing patient or parental consent

Treatment and study plan

Accuracy of weight estimation

Other

Computer based comparison

Primary outcomes

  1. length-based weight-estimation by algorithm

    Time frame: during procedure

    Habitus adapted weight estimation based on visual habitus classification compared to weight estimation by the modified algorithm CLAWAR utilizing mid upperarm circumference

Sponsors and collaborators

Lead sponsor

University Children's Hospital, Zurich

Other

Registry information

Official study title

Evaluation of an Algorithm for Gender Specific and Habitus Adapted Length Based Body Weight Estimation in Children - Improvement by Adding Another Parameter?

Acronym: Including MUC

Important dates

Study start
2016
Primary completion
2018
Study completion
2019
First posted
Oct 12, 2016
Registry last updated
Nov 10, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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