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Body surface area prediction in normal-weight and obese patients
Veterans Affairs Medical Center, Greater Los Angeles Health Care System, and the University of California Los Angeles Center for Human Nutrition, Los Angeles, California 90073 None of the equations frequently used to predict body surface area (BSA) has been validated for obese patients. We applied t...
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| Published in: | American journal of physiology: endocrinology and metabolism 2001-09, Vol.281 (3), p.E586-E591 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
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| container_end_page | E591 |
| container_issue | 3 |
| container_start_page | E586 |
| container_title | American journal of physiology: endocrinology and metabolism |
| container_volume | 281 |
| creator | Livingston, Edward H Lee, Scott |
| description | Veterans Affairs Medical Center, Greater Los Angeles Health Care
System, and the University of California Los Angeles Center for Human
Nutrition, Los Angeles, California 90073
None of the equations frequently used to predict body surface
area (BSA) has been validated for obese patients. We applied the
principles of body size scaling to derive an improved equation predicting BSA solely from a patient's weight. Forty-five patients weighing from 51.3 to 248.6 kg had their height and weight measured on
a calibrated scale and their BSA calculated by a geometric method. Data
were combined with a large series of published BSA estimates. BSA
prediction with the commonly used Du Bois equation underestimated BSA
in obese patients by as much as 20%. The equation we derived to relate
BSA to body weight was a power function: BSA (m 2 ) = 0.1173 × Wt (kg) 0.6466 . Below 10 kg, this equation
deviated significantly from the BSA vs. body weight curve,
necessitating a different set of coefficients: BSA
(m 2 ) = 0.1037 × Wt (kg) 0.6724 .
Covariance of height and weight for patients weighing |
| doi_str_mv | 10.1152/ajpendo.2001.281.3.e586 |
| format | article |
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System, and the University of California Los Angeles Center for Human
Nutrition, Los Angeles, California 90073
None of the equations frequently used to predict body surface
area (BSA) has been validated for obese patients. We applied the
principles of body size scaling to derive an improved equation predicting BSA solely from a patient's weight. Forty-five patients weighing from 51.3 to 248.6 kg had their height and weight measured on
a calibrated scale and their BSA calculated by a geometric method. Data
were combined with a large series of published BSA estimates. BSA
prediction with the commonly used Du Bois equation underestimated BSA
in obese patients by as much as 20%. The equation we derived to relate
BSA to body weight was a power function: BSA (m 2 ) = 0.1173 × Wt (kg) 0.6466 . Below 10 kg, this equation
deviated significantly from the BSA vs. body weight curve,
necessitating a different set of coefficients: BSA
(m 2 ) = 0.1037 × Wt (kg) 0.6724 .
Covariance of height and weight for patients weighing <80 kg reduced
the Du Bois BSA-predicting equation to a power function, explaining why
it provides good BSA predictions for normal-size patients but fails
with obesity.
body height; body weight; anthropometry; biological
models</description><identifier>ISSN: 0193-1849</identifier><identifier>EISSN: 1522-1555</identifier><identifier>DOI: 10.1152/ajpendo.2001.281.3.e586</identifier><identifier>PMID: 11500314</identifier><language>eng</language><publisher>United States</publisher><subject>Body Height ; Body Mass Index ; Body Surface Area ; Body Weight ; Female ; Humans ; Male ; Mathematics ; Obesity - physiopathology ; Regression Analysis</subject><ispartof>American journal of physiology: endocrinology and metabolism, 2001-09, Vol.281 (3), p.E586-E591</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c512t-47f17b00cf65f70b73bc424a42193a75b347f5f15038fe39c678a020acca4c6d3</citedby><cites>FETCH-LOGICAL-c512t-47f17b00cf65f70b73bc424a42193a75b347f5f15038fe39c678a020acca4c6d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11500314$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Livingston, Edward H</creatorcontrib><creatorcontrib>Lee, Scott</creatorcontrib><title>Body surface area prediction in normal-weight and obese patients</title><title>American journal of physiology: endocrinology and metabolism</title><addtitle>Am J Physiol Endocrinol Metab</addtitle><description>Veterans Affairs Medical Center, Greater Los Angeles Health Care
System, and the University of California Los Angeles Center for Human
Nutrition, Los Angeles, California 90073
None of the equations frequently used to predict body surface
area (BSA) has been validated for obese patients. We applied the
principles of body size scaling to derive an improved equation predicting BSA solely from a patient's weight. Forty-five patients weighing from 51.3 to 248.6 kg had their height and weight measured on
a calibrated scale and their BSA calculated by a geometric method. Data
were combined with a large series of published BSA estimates. BSA
prediction with the commonly used Du Bois equation underestimated BSA
in obese patients by as much as 20%. The equation we derived to relate
BSA to body weight was a power function: BSA (m 2 ) = 0.1173 × Wt (kg) 0.6466 . Below 10 kg, this equation
deviated significantly from the BSA vs. body weight curve,
necessitating a different set of coefficients: BSA
(m 2 ) = 0.1037 × Wt (kg) 0.6724 .
Covariance of height and weight for patients weighing <80 kg reduced
the Du Bois BSA-predicting equation to a power function, explaining why
it provides good BSA predictions for normal-size patients but fails
with obesity.
body height; body weight; anthropometry; biological
models</description><subject>Body Height</subject><subject>Body Mass Index</subject><subject>Body Surface Area</subject><subject>Body Weight</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Mathematics</subject><subject>Obesity - physiopathology</subject><subject>Regression Analysis</subject><issn>0193-1849</issn><issn>1522-1555</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNp1kD1PwzAQhi0EglL4C5CJLcEfcZxuQNUCUiWWMluOc26N0jjYiaD_HlctKgvTDfe8750ehG4Jzgjh9F59dNDWLqMYk4yWJGMZ8LI4QaO4pSnhnJ-iESYTlpIyn1ygyxA-MMaC5_QcXcQOjBnJR-jhydXbJAzeKA2J8qCSzkNtdW9dm9g2aZ3fqCb9Arta94lq68RVECDpVG-h7cMVOjOqCXB9mGP0Pp8tpy_p4u35dfq4SDUntE9zYYioMNam4EbgSrBK5zRXOY0_KsErFglu4l-sNMAmuhClwhQrrVWui5qN0d2-t_Puc4DQy40NGppGteCGIAXBZUEJjaDYg9q7EDwY2Xm7UX4rCZY7efIgT-7kyShPMjmL8mLy5nBiqDZQH3MHWxFI98A6yviyHmS33gbrGrfaHlv_Fk7-5-dD0yzhu_8NHnOyqw37AS59kb4</recordid><startdate>20010901</startdate><enddate>20010901</enddate><creator>Livingston, Edward H</creator><creator>Lee, Scott</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20010901</creationdate><title>Body surface area prediction in normal-weight and obese patients</title><author>Livingston, Edward H ; Lee, Scott</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c512t-47f17b00cf65f70b73bc424a42193a75b347f5f15038fe39c678a020acca4c6d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Body Height</topic><topic>Body Mass Index</topic><topic>Body Surface Area</topic><topic>Body Weight</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Mathematics</topic><topic>Obesity - physiopathology</topic><topic>Regression Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Livingston, Edward H</creatorcontrib><creatorcontrib>Lee, Scott</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of physiology: endocrinology and metabolism</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Livingston, Edward H</au><au>Lee, Scott</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Body surface area prediction in normal-weight and obese patients</atitle><jtitle>American journal of physiology: endocrinology and metabolism</jtitle><addtitle>Am J Physiol Endocrinol Metab</addtitle><date>2001-09-01</date><risdate>2001</risdate><volume>281</volume><issue>3</issue><spage>E586</spage><epage>E591</epage><pages>E586-E591</pages><issn>0193-1849</issn><eissn>1522-1555</eissn><abstract>Veterans Affairs Medical Center, Greater Los Angeles Health Care
System, and the University of California Los Angeles Center for Human
Nutrition, Los Angeles, California 90073
None of the equations frequently used to predict body surface
area (BSA) has been validated for obese patients. We applied the
principles of body size scaling to derive an improved equation predicting BSA solely from a patient's weight. Forty-five patients weighing from 51.3 to 248.6 kg had their height and weight measured on
a calibrated scale and their BSA calculated by a geometric method. Data
were combined with a large series of published BSA estimates. BSA
prediction with the commonly used Du Bois equation underestimated BSA
in obese patients by as much as 20%. The equation we derived to relate
BSA to body weight was a power function: BSA (m 2 ) = 0.1173 × Wt (kg) 0.6466 . Below 10 kg, this equation
deviated significantly from the BSA vs. body weight curve,
necessitating a different set of coefficients: BSA
(m 2 ) = 0.1037 × Wt (kg) 0.6724 .
Covariance of height and weight for patients weighing <80 kg reduced
the Du Bois BSA-predicting equation to a power function, explaining why
it provides good BSA predictions for normal-size patients but fails
with obesity.
body height; body weight; anthropometry; biological
models</abstract><cop>United States</cop><pmid>11500314</pmid><doi>10.1152/ajpendo.2001.281.3.e586</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0193-1849 |
| ispartof | American journal of physiology: endocrinology and metabolism, 2001-09, Vol.281 (3), p.E586-E591 |
| issn | 0193-1849 1522-1555 |
| language | eng |
| recordid | cdi_highwire_physiology_ajpendo_281_3_E586 |
| source | American Physiological Society Free |
| subjects | Body Height Body Mass Index Body Surface Area Body Weight Female Humans Male Mathematics Obesity - physiopathology Regression Analysis |
| title | Body surface area prediction in normal-weight and obese patients |
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