Regression Equations for Weight Estimation in Paediatric Resuscitation

2021 ◽  
Author(s):  
Sally Britnell ◽  
Gael Mearns ◽  
Graham Howie ◽  
Dave Parry
Keyword(s):  
New Zealand ◽  
Descriptive Statistics ◽  
Estimation Methods ◽  
Regression Equations ◽  
Weight Estimation ◽  
Limits Of Agreement ◽  
Estimation Techniques ◽  
Actual Weight ◽  
Regression Modelling ◽  
Prescribing Medication

Background: Weight estimation is critical in paediatric resuscitation, as stopping to weigh a child could influence their survival. Weight estimation methods used in New Zealand (NZ) are not accurate for the population, increasing the complexity of prescribing medication and selecting equipment. Aim: Develop regression equations (RE) to predict the weight of NZ children based on height, sex, age and ethnicity to be deployed in a mobile application (Weight Estimation Without Waiting). Methods: The RE was derived from retrospective regression modelling of a large existing dataset. Data were presented using descriptive statistics and calculation of means, limits of agreement and the proportion of weight estimates within a percentage of actual weight. Conclusion: The RE developed in this study outperformed existing age-based weight estimation methods while providing a method to ensure that weight estimation techniques evolve with NZ children.

scholarly journals Using the Mercy Method for Weight Estimation in Indian Children

2015 ◽  
Vol 2 ◽  
pp. 2333794X1456662 ◽  
Author(s):  
Gitanjali Batmanabane ◽  
Pradeep Kumar Jena ◽  
Roshan Dikshit ◽  
Susan Abdel-Rahman
Keyword(s):  
Pearson Correlation ◽  
Predictive Performance ◽  
The Other ◽  
Estimation Methods ◽  
Percentage Error ◽  
Healthy Children ◽  
Weight Estimation ◽  
Indian Children ◽  
Actual Weight ◽  
Estimation Strategy

This study was designed to compare the performance of a new weight estimation strategy (Mercy Method) with 12 existing weight estimation methods (APLS, Best Guess, Broselow, Leffler, Luscombe-Owens, Nelson, Shann, Theron, Traub-Johnson, Traub-Kichen) in children from India. Otherwise healthy children, 2 months to 16 years, were enrolled and weight, height, humeral length (HL), and mid-upper arm circumference (MUAC) were obtained by trained raters. Weight estimation was performed as described for each method. Predicted weights were regressed against actual weights and the slope, intercept, and Pearson correlation coefficient estimated. Agreement between estimated weight and actual weight was determined using Bland–Altman plots with log-transformation. Predictive performance of each method was assessed using mean error (ME), mean percentage error (MPE), and root mean square error (RMSE). Three hundred seventy-five children (7.5 ± 4.3 years, 22.1 ± 12.3 kg, 116.2 ± 26.3 cm) participated in this study. The Mercy Method (MM) offered the best correlation between actual and estimated weight when compared with the other methods ( r2 = .967 vs .517-.844). The MM also demonstrated the lowest ME, MPE, and RMSE. Finally, the MM estimated weight within 20% of actual for nearly all children (96%) as opposed to the other methods for which these values ranged from 14% to 63%. The MM performed extremely well in Indian children with performance characteristics comparable to those observed for US children in whom the method was developed. It appears that the MM can be used in Indian children without modification, extending the utility of this weight estimation strategy beyond Western populations.

scholarly journals Estimating weight in patients of all-ages: a prospective study in Rwanda

2020 ◽  
Author(s):  
Giles N Cattermole ◽  
Appolinaire Manirafasha
Keyword(s):  
Prospective Study ◽  
Primary Outcome ◽  
Estimation Methods ◽  
Weight Estimation ◽  
Standard Methods ◽  
Actual Weight ◽  
Adult Study ◽  
Arm Circumference ◽  
Length Data ◽  
A Prospective Study

ABSTRACTIntroductionWeight estimation of both adult and paediatric patients is often necessary in emergency or low-resource settings when it is not possible to weigh the patient. There are many methods for paediatric weight estimation, but no standard methods for adults. PAWPER and Mercy tapes are used in children, but have not been assessed in adults. The primary aim of this study was to assess weight estimation methods in patients of all ages.MethodsPatients were prospectively recruited from emergency and out-patient departments. Subjects (or guardians) were asked to estimate weight. Investigators collected weight, height, mid-arm circumference (MAC) and humeral-length data. In all subjects, estimates of weight were calculated from height and MAC (PAWPER tapes), MAC and humeral-length (Mercy tape). In children, Broselow tape and age-based formulae were also used. Primary outcome measures were proportions of estimates within 10%, 20% and 30% of actual weight (p10, p20, p30).Results947 subjects were recruited: 307 children, 309 adolescents and 331 adults. For p20, the best methods were: in children, guardian estimate (90.2%) and PAWPER XL-MAC (89.3%); in adolescents, PAWPER XL-MAC (91.3%) and guardian estimate (90.9%); in adults, subject estimate (98.5%) and PAWPER XL-MAC (83.7%).ConclusionThis is the first prospective study of weight estimation methods in Rwanda, and the first adult study of PAWPER and Mercy tapes. In children, age-based rules performed poorly. In patients of all ages, the PAWPER XL-MAC and guardian/subject estimates of weight were the most reliable and we would recommend their use in this setting.

scholarly journals Accuracy of weight estimation methods in adults, adolescents and children: a prospective study

2020 ◽  
pp. emermed-2020-209581
Author(s):  
Giles N Cattermole ◽  
Appolinaire Manirafasha
Keyword(s):  
Prospective Study ◽  
Age Groups ◽  
Primary Outcome Measure ◽  
Estimation Methods ◽  
Weight Estimation ◽  
Actual Weight ◽  
Arm Circumference ◽  
Outpatient Departments ◽  
Length Data ◽  
A Prospective Study

IntroductionWeight estimation of both adult and paediatric patients is often necessary in emergency or low-resource settings when it is not possible to weigh the patient. There are many methods for paediatric weight estimation, but no standard methods for adults. PAWPER and Mercy tapes are used in children, but have not been assessed in adults. The primary aim of this study was to assess weight estimation methods in patients of all ages.MethodsPatients were prospectively recruited from emergency and outpatient departments in Kigali, Rwanda. Participants (or guardians) were asked to estimate weight. Investigators collected weight, height, mid-arm circumference (MAC) and humeral-length data. In all participants, estimates of weight were calculated from height and MAC (PAWPER methods), MAC and humeral length (Mercy method). In children, Broselow measurements and age-based formulae were also used. The primary outcome measure was the proportion of estimates within 20% of actual weight (p20).ResultsWe recruited 947 participants: 307 children, 309 adolescents and 331 adults. For p20, the best methods were: in children, guardian estimate (90.2%) and PAWPER XL-MAC (89.3%); in adolescents, PAWPER XL-MAC (91.3%) and guardian estimate (90.9%); in adults, participant estimate (98.5%) and PAWPER XL-MAC (83.7%). In all age groups, there was a trend of decreasing weight estimation with increasing actual weight.ConclusionThis prospective study of weight estimation methods across all age groups is the first adult study of PAWPER and Mercy methods. In children, age-based rules performed poorly. In patients of all ages, the PAWPER XL-MAC and guardian/participant estimates of weight were the most reliable and we would recommend their use in this setting.

scholarly journals Comparison of paediatric weight estimation methods at a tertiary hospital in Ghana

2021 ◽  
Vol 11 (2) ◽  
pp. 252-257
Author(s):  
Rafiuk Cosmos Yakubu ◽  
Samuel Blay Nguah ◽  
Nedda Ayi-bisah
Keyword(s):  
Tertiary Hospital ◽  
Estimation Methods ◽  
Weight Estimation

Influence of weight modelling on the outcome of wing design using multidisciplinary design optimisation techniques

2013 ◽  
Vol 117 (1195) ◽  
pp. 871-895 ◽  
Author(s):  
J. Mariens ◽  
A. Elham ◽  
M. J. L. van Tooren
Keyword(s):  
Estimation Method ◽  
Lower Class ◽  
Multidisciplinary Design ◽  
Estimation Methods ◽  
Computational Time ◽  
Weight Estimation ◽  
Wing Design ◽  
Design Optimisation ◽  
Multidisciplinary Design Optimisation ◽  
Optimisation Techniques

Abstract Weight estimation methods are categorised in different classes based on their level of fidelity. The lower class methods are based on statistical data, while higher class methods use physics based calculations. Statistical weight estimation methods are usually utilised in early design stages when the knowledge of designers about the new aircraft is limited. Higher class methods are applied in later design steps when the design is mature enough. Lower class methods are sometimes preferred in later design stages, even though the designers have enough knowledge about the design to use higher class methods. In high level multidisciplinary design optimisation (MDO) fidelity is often sacrificed to obtain models with shorter computation times. There is always a compromise required to select the proper weight estimation method for an MDO project. An investigation has been performed to study the effect of using different weight estimation methods, with low and medium levels of fidelity, on the results of a wing design using multidisciplinary design optimisation techniques. An MDO problem was formulated to design the wing planform of a typical turboprop and a turbofan passenger aircraft. The aircraft maximum take-off weight was selected as the objective function. A quasi-three-dimensional aerodynamic solver was developed to calculate the wing aerodynamic characteristics. Five various statistical methods and a quasi-analytical method are used to estimate the wing structural weight. These methods are compared to each other by analysing their accuracy and sensitivity to different design variables. The results of the optimisations showed that the optimum wing shape is affected by the method used to estimate the wing weight. Using different weight estimation methods also strongly affects the optimisation convergence history and computational time.

Estimation of Hemi-Abdominal-Based Free Flap Weight Using Two Computed Tomography-Derived Measurements

2021 ◽  
Author(s):  
Nicolas Greige ◽  
Bryce Liu ◽  
David Nash ◽  
Katie E. Weichman ◽  
Joseph A. Ricci
Keyword(s):  
Computed Tomography ◽  
Breast Reconstruction ◽  
Free Flap ◽  
Subcutaneous Tissue ◽  
Free Tissue Transfer ◽  
Absolute Error ◽  
Estimation Methods ◽  
Weight Estimation ◽  
Estimation Model ◽  
Split Sample

Abstract Background Accurate flap weight estimation is crucial for preoperative planning in microsurgical breast reconstruction; however, current flap weight estimation methods are time consuming. It was our objective to develop a parsimonious and accurate formula for the estimation of abdominal-based free flap weight. Methods Patients who underwent hemi-abdominal-based free tissue transfer for breast reconstruction at a single institution were retrospectively reviewed. Subcutaneous tissue thicknesses were measured on axial computed tomography angiograms at several predetermined points. Multivariable linear regression was used to generate the parsimonious flap weight estimation model. Split-sample validation was used to for internal validation. Results A total of 132 patients (196 flaps) were analyzed, with a mean body mass index of 31.2 ± 4.0 kg/m2 (range: 22.6–40.7). The mean intraoperative flap weight was 990 ± 344 g (range: 368–2,808). The full predictive model (R 2 = 0.68) estimated flap weight using the Eq. 91.3x + 36.4y + 6.2z – 1030.0, where x is subcutaneous tissue thickness (cm) 5 cm lateral to midline at the level of the anterior superior iliac spine (ASIS), y is distance (cm) between the skin overlying each ASIS, and z is patient weight (kg). Two-thirds split-sample validation was performed using 131 flaps to build a model and the remaining 65 flaps for validation. Upon validation, we observed a median percent error of 10.2% (interquartile range [IQR]: 4.5–18.5) and a median absolute error of 108.6 g (IQR: 45.9–170.7). Conclusion We developed and internally validated a simple and accurate formula for the preoperative estimation of hemi-abdominal-based free flap weight for breast reconstruction.

scholarly journals Spot urine and 24-h diet recall estimates of dietary sodium intake from the 2008/09 New Zealand Adult Nutrition Survey: a comparison

2020 ◽  
Author(s):  
RM McLean ◽  
SM Williams ◽  
Lisa Te Morenga ◽  
JI Mann
Keyword(s):  
New Zealand ◽  
Sodium Excretion ◽  
Sodium Intake ◽  
Urinary Sodium Excretion ◽  
Dietary Sodium ◽  
Urine Collection ◽  
Limits Of Agreement ◽  
Nutrition Survey ◽  
Spot Urine ◽  
Diet Recall

© 2018, Macmillan Publishers Limited, part of Springer Nature. Background: We aimed to test the difference between estimates of dietary sodium intake using 24-h diet recall and spot urine collection in a large sample of New Zealand adults. Methods: We analysed spot urine results, 24-h diet recall, dietary habits questionnaire and anthropometry from a representative sample of 3312 adults aged 15 years and older who participated in the 2008/09 New Zealand Adult Nutrition Survey. Estimates of adult population sodium intake were derived from 24-h diet recall and spot urine sodium using a formula derived from analysis of INTERSALT data. Correlations, limits of agreement and mean difference were calculated for the total sample, and for population subgroups. Results: Estimated total population 24-h urinary sodium excretion (mean (95% CI)) from spot urine samples was 3035 mg (2990, 3079); 3612 mg (3549, 3674) for men and 2507 mg (2466, 2548) for women. Estimated mean usual daily sodium intake from 24-h diet recall data (excluding salt added at the table) was 2564 mg (2519, 2608); 2849 mg (2779, 2920) for men and 2304 mg (2258, 2350) for women. Correlations between estimates were poor, especially for men, and limits of agreement using Bland–Altman mean difference analysis were wide. Conclusions: There is a poor agreement between estimates of individual sodium intake from spot urine collection and those from 24-hour diet recall. Although, both 24-hour dietary recall and estimated urinary excretion based on spot urine indicate mean population sodium intake is greater than 2 g, significant differences in mean intake by method deserve further investigation in relation to the gold standard, 24-hour urinary sodium excretion.

scholarly journals Comparing the usability of paediatric weight estimation methods: a simulation study

2018 ◽  
Vol 104 (2) ◽  
pp. 121-123 ◽  
Author(s):  
Robin D Marlow ◽  
Dora L B Wood ◽  
Mark D Lyttle
Keyword(s):  
Simulation Study ◽  
Exploratory Study ◽  
Life Support ◽  
Estimation Methods ◽  
Weight Estimation ◽  
Cognitive Stress ◽  
Reference Table ◽  
Online Simulation ◽  
Significant Difference ◽  
Recent Version

ObjectiveEstimating weight is essential in order to prepare appropriate sized equipment and doses of resuscitation drugs in cases where children are critically ill or injured. Many methods exist with varying degrees of complexity and accuracy. The most recent version of the Advanced Paediatric Life Support (APLS) course has changed their teaching from an age-based calculation method to the use of a reference table. We aimed to evaluate the potential implications of this change.MethodUsing a bespoke online simulation platform we assessed the ability of acute paediatric staff to apply different methods of weight estimation. Comparing the time taken, rate and magnitude of errors were made using the APLS single and triple age-based formulae, Best Guess and reference table methods. To add urgency and an element of cognitive stress, a time-based competitive component was included.Results57 participants performed a total of 2240 estimates of weight. The reference table was the fastest (25 (22–28) vs 35 (31–38) to 48 (43–51) s) and most preferred, but errors were made using all methods. There was no significant difference in the percentage accuracy between methods (93%–97%) but the magnitude of errors made was significantly smaller using the three APLS formulae 10% (6.5–21) compared with reference table (69% (34–133)) mainly from month/year table confusion.ConclusionIn this exploratory study under psychological stress none of the methods of weight estimation were free from error. Reference tables were the fastest method and also had the largest errors and should be designed to minimise the risk of picking errors.

Sign in / Sign up

Export Citation Format

Share Document