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Record W2999162726 · doi:10.1093/ehjci/jez319.421

P758 Should ECHO measurements be indexed to ideal BSA or actual BSA?

2020· article· en· W2999162726 on OpenAlexaff
M Cases, T. Zhu, U. Jurt, D. Brouillard, M. Matangi

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsKingston Health Sciences Centre
Fundersnot available
KeywordsBody surface areaEcho (communications protocol)Body weightMedicineNuclear medicineBody mass indexMathematicsStenosisAnimal scienceSurgeryInternal medicineBiology

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION A patient with aortic stenosis with an AVA of 1.22 cm2 who stands 5’ 6" and weighs 145 lb has a BSA of 1.76m2 (AV area index = 0.69 cm2/m2). If the same patient weighs 200 lbs, the BSA increases to 2.09 m2 (AV area index 0.58 cm2/m2). Their calculated AV area index therefore changes from the moderate range to the severe range. PURPOSE To determine from our ECHO database the effect the current obesity epidemic has on all ECHO variables that are indexed to BSA. METHODS Our ECHO database was searched for all patients with the required data variables, gender, age, height (cm)and body weight (kg) were required. Duplicate patients with multiple ECHO studies were removed, only the first ECHO entry being included. Obvious data entry errors were removed (e.g. height 1866 cm, or weight 8.6 kg). Ideal weight was calculated using the Devine formula, ideal weight = Constant + 2.3x[height in inches-60], where constant= 50kg in males and 45.5kg in females. Body surface area in m2 was calculated = [√(height in cm x weight in Kg)/3600]. The paired t-test was used to determine differences between means. A p value of <0.05 was considered significant. RESULTS There were 47,761 ECHO studies entered into the database, of which 46,605 (98%) had all the required fields completed. Once duplicates were removed (-15,903) and erroneous data deleted (-158, 0.33%), 30,536 remained. There were 16,160 females aged 58.7 ± 19.2 years, with a mean height of 161.7 ± 7.2cm and 14,376 males aged 59.8 ± 19.2 years, with a mean height of 176.7 ± 7.6 cm. There were statistically significant differences in both men and women between actual and ideal weight and actual and ideal BSA, see Table 1. CONLUSIONS. For all ECHO measurements where the value is frequently indexed a decision needs to be made to either use the actual BSA or the ideal BSA. It may be more practical to use the ideal BSA which will remain consistent throughout follow up. Using our data any such measurement for females could be multiplied by 1.16 and for males 1.11 (i.e. actual BSA/ideal BSA). It is disappointing to find that, on average, females are 20 kilograms and males 18 kilograms above their ideal weight. Table 1. Weight females (kg) Weight males (kg) BSA females (m2) BSA males (m2) Number. 16,160 14,376 16,160 14,376 Actual. 73.2 ± 18.9 89.1 ± 19.3 1.80 ± 0.24 2.08 ± 0.24 Ideal. 53.4 ± 6.5 71.4 ± 6.9 1.55 ± 0.13 1.87 ± 0.3 P value. <0.0001 <0.0001 <0.0001 <0.0001 BSA = Body surface area.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.160
GPT teacher head0.325
Teacher spread0.165 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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