Using self-reported height and weight in calculating body surface area: is it good practice in cardiovascular imaging?
Bibliographic record
Abstract
Cardiac dimensions and volumes are widely used throughout cardiac imaging. Body mass index (BMI) and body surface area (BSA) can both be used but BSA is most validated. There are many formulae for calculating BSA but the Mosteller calculation is the easiest, can be performed on a basic calculator and has gained in popularity. BSA = ((height cm*weight kg)<-2>/3600)). Many centers use self-reported height and weight for BSA calculation and subsequent normalization. Is this reliable? All patients attending for cardiac MRI complete a safety questionnaire which also asks for self-reported height and weight. All cardiac MRI patients are also weighed and height measured (stocking feet) after changing into a hospital gown. We reviewed the height and weight of 238 patients over 4 months (97 females; 141 males; mean age 42 years, 18stdev). We compared the self-reported values to those measured. 67% of patients mis-reported their weight by 1kg or more (male 73%; females 58%), p< 0.001 while 69% patients mis-reported their height by 1.25cms or more (68% males; 70% females), p < 0.001. Half (50%) of women and 37% of men under-estimated their weight while 66% of women and 51% of men under-estimated their height. Although 1 woman (76 years old) weighed 6.4kgs less than she reported, 28 women (29%) weighed 2kgs or more than they self-reported with 10 (10%) weighing 4 kgs or more (range 4 - 12.3kgs). Of these 10 patients, 7 were in the 40 - 50 year age group. Interestingly 4 women thought they were taller (>1.25cms) and 58 (60%) thought they were shorter. 15 men weighed 2kgs or less (range 2 - 15.4) than they reported, 47 men (33%) weighed 2 kgs more than their self-reported weight with 21 (15%) weighing more than 4kgs (range 4 - 24.9kgs). Again, the largest group (34%) was in the 40 - 50 year age group. 56 men (40%) were 2.5cms (range 2.5 - 7cms) shorter than they reported, 8 (6%) were actually taller than they reported (range 2.5 - 6.5cms). Published review articles have indicated that women underestimate their weight and overestimate their height while older women are less reliable in their self-reported BSA. Men have also been reported to frequently overestimate their height. In our group, there was no set pattern and both men and women were inaccurate in their self-reported heights and weights. This was true for all age groups. Self-reported heights and weights are inaccurate with no clear age or sex pattern. Although it adds another step in the patient journey through the MRI department, all patients should have their height and weight measured before their cardiac MRI examination.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.069 | 0.204 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".