fat-free weight prediction in morbidly obese females

Clicks: 100
ID: 195310
2011
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Star

Ranked #61 of 63 articles by views in Global change biology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Ion D Bucaloiu1, G Craig Wood2, Evan R Norfolk1, Christopher D Still3, James E Hartle1, Robert M Perkins41Department of Nephrology, Geisinger Medical Center, Danville, PA; 2Biostatistics and Research Data Core, Henry Hood Center for Health Research, Geisinger Medical Center, Danville, PA; 3Center for Nutrition and Weight Management, Geisinger Medical Center, Danville, PA; 4Department of Nephrology and Henry Hood Center for Health Research, Geisinger Medical Center, Danville, PA, USAPurpose: Precise estimation of creatinine clearance in obese individuals relies on the appropriate assessment of lean body weight (LBW). Anthropometric methods of predicting LBW have not been validated in morbidly obese populations.Patients and methods: Using an existing dataset of anthropometric data for a female cohort with morbid obesity who had undergone measured FFW with dual energy absorptiometry, we evaluated the performance of five previously reported estimating equations for the prediction of LBW. Linear regression was used to derive a new LBW prediction formula and was then compared with the other formulae.Results: Seventy females (mean [standard deviation] age, weight, and body mass index 43.0 [11.0] years, 128.1 [13.8] kg, and 48.3 [4.8] kg/m², respectively) were identified. LBW as estimated by the method of Garrow and Webster correlated well (r = 0.87) with measured mass while demonstrating the highest accuracy, best precision, and smallest bias (93%, 2.1 kg, and 2.9 kg, respectively; P < 0.0001 for all comparisons). The derived formula further improved bias, precision, and accuracy.Conclusion: Among females with morbid obesity, most previously reported estimating equations for LBW predicted FFW poorly. These findings have important clinical implications for the assessment of kidney function and for safe and effective drug dosing.Keywords: body composition, body weight, creatinine clearance, kidney function, lean body mass, obesity, pharmacokinetics
Reference Key
id2011internationalfat-free Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Bucaloiu ID;Wood GC;Norfolk ER;Still CD;Hartle JE;Perkins RM
Journal Global change biology
Year 2011
DOI
DOI not found
URL
http://www.dovepress.com/fat-free-weight-prediction-in-morbidly-obese-females-a8697
Keywords
diseases of the genitourinary system urology

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.