Estimation of body weight in hospitalized patients
Identifieur interne : 001204 ( PascalFrancis/Corpus ); précédent : 001203; suivant : 001205Estimation of body weight in hospitalized patients
Auteurs : S. Darnis ; N. Fareau ; C. E. Corallo ; S. Poole ; M. J. Dooley ; A. C. ChengSource :
- QJM : (Oxford. 1994. Print) [ 1460-2725 ] ; 2012.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Aim: To examine the bias and precision of different methods of estimating body mass and height in hospitalized adult patients. Methods: Patients were enrolled at the Alfred and Caulfield hospitals, Melbourne, Australia following verbal consent. Estimates were made using the Lorenz formula (that utilizes height, waist and hip circumference), the Crandell formula (that utilizes height and arm circumference) and visual estimation of weight based on the average results obtained by two pharmacy interns. Statistical error was calculated as the ratio of estimated to actual weight; bias was assessed as the mean error and precision as the proportion of estimates within 10 and 20% of measured weight and standard deviation of the error. Results: In a 5-week period July to August 2010, 198 patients were enrolled. The median age was 64 years (range 19-91) and 52% were female. Thirty-four (17%) patients were obese (BMI >30 kg/m2) and 8 (4%) were underweight (BMI <18 kg/m2). With the Lorenz formula an estimate within 10% was obtained for 56% of patients; with the Crandell formula prediction was poor. Documentation of body weight in notes and patient self-reporting were both accurate. Seventy-two patients (43%) were prescribed one or more drugs for which dosing potentially should be adjusted for body weight. Conclusions: In adult hospitalized patients, the estimation of body weight by anthropomorphic measures is not accurate. This supports the need for equipment to be made widely available to accurately weigh patients directly in hospital, including in unconscious and immobile patients.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
pA |
|
---|
Format Inist (serveur)
NO : | PASCAL 12-0319990 INIST |
---|---|
ET : | Estimation of body weight in hospitalized patients |
AU : | DARNIS (S.); FAREAU (N.); CORALLO (C. E.); POOLE (S.); DOOLEY (M. J.); CHENG (A. C.) |
AF : | Université Aix Marseille II/Faculté de Pharmacie la Timone/Marseille/France (1 aut.); Faculté de Pharmacie-UPS/Toulouse III/France (2 aut.); Department of Pharmacy, Alfred Hospital/Melbourne 3004/Australie (3 aut., 4 aut., 5 aut.); Faculty of Pharmacy and Pharmaceutical Sciences/Melbourne 3004/Australie (4 aut.); Centre for Medicine Use and Safety, Monash Institute of Pharmaceutical Sciences, Monash University/Melbourne 3004/Australie (5 aut.); Infectious Disease Unit, Alfred Hospital/Melbourne 3004/Australie (6 aut.); Department of Epidemiology and Preventive Medicine, Monash University/Melbourne 3004/Australie (6 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | QJM : (Oxford. 1994. Print); ISSN 1460-2725; Royaume-Uni; Da. 2012; Vol. 105; No. 8; Pp. 769-774; Bibl. 16 ref. |
LA : | Anglais |
EA : | Aim: To examine the bias and precision of different methods of estimating body mass and height in hospitalized adult patients. Methods: Patients were enrolled at the Alfred and Caulfield hospitals, Melbourne, Australia following verbal consent. Estimates were made using the Lorenz formula (that utilizes height, waist and hip circumference), the Crandell formula (that utilizes height and arm circumference) and visual estimation of weight based on the average results obtained by two pharmacy interns. Statistical error was calculated as the ratio of estimated to actual weight; bias was assessed as the mean error and precision as the proportion of estimates within 10 and 20% of measured weight and standard deviation of the error. Results: In a 5-week period July to August 2010, 198 patients were enrolled. The median age was 64 years (range 19-91) and 52% were female. Thirty-four (17%) patients were obese (BMI >30 kg/m2) and 8 (4%) were underweight (BMI <18 kg/m2). With the Lorenz formula an estimate within 10% was obtained for 56% of patients; with the Crandell formula prediction was poor. Documentation of body weight in notes and patient self-reporting were both accurate. Seventy-two patients (43%) were prescribed one or more drugs for which dosing potentially should be adjusted for body weight. Conclusions: In adult hospitalized patients, the estimation of body weight by anthropomorphic measures is not accurate. This supports the need for equipment to be made widely available to accurately weigh patients directly in hospital, including in unconscious and immobile patients. |
CC : | 002B01 |
FD : | Estimation; Poids corporel; Hospitalisation; Homme; Malade; Médecine |
FG : | Biométrie corporelle |
ED : | Estimation; Body weight; Hospitalization; Human; Patient; Medicine |
EG : | Corporal biometry |
SD : | Estimación; Peso corporal; Hospitalización; Hombre; Enfermo; Medicina |
LO : | INIST-5050.354000504403880070 |
ID : | 12-0319990 |
Links to Exploration step
Pascal:12-0319990Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Estimation of body weight in hospitalized patients</title>
<author><name sortKey="Darnis, S" sort="Darnis, S" uniqKey="Darnis S" first="S." last="Darnis">S. Darnis</name>
<affiliation><inist:fA14 i1="01"><s1>Université Aix Marseille II/Faculté de Pharmacie la Timone</s1>
<s2>Marseille</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Fareau, N" sort="Fareau, N" uniqKey="Fareau N" first="N." last="Fareau">N. Fareau</name>
<affiliation><inist:fA14 i1="02"><s1>Faculté de Pharmacie-UPS</s1>
<s2>Toulouse III</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Corallo, C E" sort="Corallo, C E" uniqKey="Corallo C" first="C. E." last="Corallo">C. E. Corallo</name>
<affiliation><inist:fA14 i1="03"><s1>Department of Pharmacy, Alfred Hospital</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Poole, S" sort="Poole, S" uniqKey="Poole S" first="S." last="Poole">S. Poole</name>
<affiliation><inist:fA14 i1="03"><s1>Department of Pharmacy, Alfred Hospital</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="04"><s1>Faculty of Pharmacy and Pharmaceutical Sciences</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>4 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Dooley, M J" sort="Dooley, M J" uniqKey="Dooley M" first="M. J." last="Dooley">M. J. Dooley</name>
<affiliation><inist:fA14 i1="03"><s1>Department of Pharmacy, Alfred Hospital</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="05"><s1>Centre for Medicine Use and Safety, Monash Institute of Pharmaceutical Sciences, Monash University</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Cheng, A C" sort="Cheng, A C" uniqKey="Cheng A" first="A. C." last="Cheng">A. C. Cheng</name>
<affiliation><inist:fA14 i1="06"><s1>Infectious Disease Unit, Alfred Hospital</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>6 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="07"><s1>Department of Epidemiology and Preventive Medicine, Monash University</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>6 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">12-0319990</idno>
<date when="2012">2012</date>
<idno type="stanalyst">PASCAL 12-0319990 INIST</idno>
<idno type="RBID">Pascal:12-0319990</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">001204</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Estimation of body weight in hospitalized patients</title>
<author><name sortKey="Darnis, S" sort="Darnis, S" uniqKey="Darnis S" first="S." last="Darnis">S. Darnis</name>
<affiliation><inist:fA14 i1="01"><s1>Université Aix Marseille II/Faculté de Pharmacie la Timone</s1>
<s2>Marseille</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Fareau, N" sort="Fareau, N" uniqKey="Fareau N" first="N." last="Fareau">N. Fareau</name>
<affiliation><inist:fA14 i1="02"><s1>Faculté de Pharmacie-UPS</s1>
<s2>Toulouse III</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Corallo, C E" sort="Corallo, C E" uniqKey="Corallo C" first="C. E." last="Corallo">C. E. Corallo</name>
<affiliation><inist:fA14 i1="03"><s1>Department of Pharmacy, Alfred Hospital</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Poole, S" sort="Poole, S" uniqKey="Poole S" first="S." last="Poole">S. Poole</name>
<affiliation><inist:fA14 i1="03"><s1>Department of Pharmacy, Alfred Hospital</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="04"><s1>Faculty of Pharmacy and Pharmaceutical Sciences</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>4 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Dooley, M J" sort="Dooley, M J" uniqKey="Dooley M" first="M. J." last="Dooley">M. J. Dooley</name>
<affiliation><inist:fA14 i1="03"><s1>Department of Pharmacy, Alfred Hospital</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="05"><s1>Centre for Medicine Use and Safety, Monash Institute of Pharmaceutical Sciences, Monash University</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>5 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Cheng, A C" sort="Cheng, A C" uniqKey="Cheng A" first="A. C." last="Cheng">A. C. Cheng</name>
<affiliation><inist:fA14 i1="06"><s1>Infectious Disease Unit, Alfred Hospital</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>6 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="07"><s1>Department of Epidemiology and Preventive Medicine, Monash University</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>6 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">QJM : (Oxford. 1994. Print)</title>
<title level="j" type="abbreviated">QJM : (Oxf., 1994, Print)</title>
<idno type="ISSN">1460-2725</idno>
<imprint><date when="2012">2012</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">QJM : (Oxford. 1994. Print)</title>
<title level="j" type="abbreviated">QJM : (Oxf., 1994, Print)</title>
<idno type="ISSN">1460-2725</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Body weight</term>
<term>Estimation</term>
<term>Hospitalization</term>
<term>Human</term>
<term>Medicine</term>
<term>Patient</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Estimation</term>
<term>Poids corporel</term>
<term>Hospitalisation</term>
<term>Homme</term>
<term>Malade</term>
<term>Médecine</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Aim: To examine the bias and precision of different methods of estimating body mass and height in hospitalized adult patients. Methods: Patients were enrolled at the Alfred and Caulfield hospitals, Melbourne, Australia following verbal consent. Estimates were made using the Lorenz formula (that utilizes height, waist and hip circumference), the Crandell formula (that utilizes height and arm circumference) and visual estimation of weight based on the average results obtained by two pharmacy interns. Statistical error was calculated as the ratio of estimated to actual weight; bias was assessed as the mean error and precision as the proportion of estimates within 10 and 20% of measured weight and standard deviation of the error. Results: In a 5-week period July to August 2010, 198 patients were enrolled. The median age was 64 years (range 19-91) and 52% were female. Thirty-four (17%) patients were obese (BMI >30 kg/<sup>m</sup>
2) and 8 (4%) were underweight (BMI <18 kg/<sup>m</sup>
2). With the Lorenz formula an estimate within 10% was obtained for 56% of patients; with the Crandell formula prediction was poor. Documentation of body weight in notes and patient self-reporting were both accurate. Seventy-two patients (43%) were prescribed one or more drugs for which dosing potentially should be adjusted for body weight. Conclusions: In adult hospitalized patients, the estimation of body weight by anthropomorphic measures is not accurate. This supports the need for equipment to be made widely available to accurately weigh patients directly in hospital, including in unconscious and immobile patients.</div>
</front>
</TEI>
<inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>1460-2725</s0>
</fA01>
<fA03 i2="1"><s0>QJM : (Oxf., 1994, Print)</s0>
</fA03>
<fA05><s2>105</s2>
</fA05>
<fA06><s2>8</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>Estimation of body weight in hospitalized patients</s1>
</fA08>
<fA11 i1="01" i2="1"><s1>DARNIS (S.)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>FAREAU (N.)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>CORALLO (C. E.)</s1>
</fA11>
<fA11 i1="04" i2="1"><s1>POOLE (S.)</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>DOOLEY (M. J.)</s1>
</fA11>
<fA11 i1="06" i2="1"><s1>CHENG (A. C.)</s1>
</fA11>
<fA14 i1="01"><s1>Université Aix Marseille II/Faculté de Pharmacie la Timone</s1>
<s2>Marseille</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Faculté de Pharmacie-UPS</s1>
<s2>Toulouse III</s2>
<s3>FRA</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Department of Pharmacy, Alfred Hospital</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
</fA14>
<fA14 i1="04"><s1>Faculty of Pharmacy and Pharmaceutical Sciences</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="05"><s1>Centre for Medicine Use and Safety, Monash Institute of Pharmaceutical Sciences, Monash University</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>5 aut.</sZ>
</fA14>
<fA14 i1="06"><s1>Infectious Disease Unit, Alfred Hospital</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>6 aut.</sZ>
</fA14>
<fA14 i1="07"><s1>Department of Epidemiology and Preventive Medicine, Monash University</s1>
<s2>Melbourne 3004</s2>
<s3>AUS</s3>
<sZ>6 aut.</sZ>
</fA14>
<fA20><s1>769-774</s1>
</fA20>
<fA21><s1>2012</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>5050</s2>
<s5>354000504403880070</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2012 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>16 ref.</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>12-0319990</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>QJM : (Oxford. 1994. Print)</s0>
</fA64>
<fA66 i1="01"><s0>GBR</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>Aim: To examine the bias and precision of different methods of estimating body mass and height in hospitalized adult patients. Methods: Patients were enrolled at the Alfred and Caulfield hospitals, Melbourne, Australia following verbal consent. Estimates were made using the Lorenz formula (that utilizes height, waist and hip circumference), the Crandell formula (that utilizes height and arm circumference) and visual estimation of weight based on the average results obtained by two pharmacy interns. Statistical error was calculated as the ratio of estimated to actual weight; bias was assessed as the mean error and precision as the proportion of estimates within 10 and 20% of measured weight and standard deviation of the error. Results: In a 5-week period July to August 2010, 198 patients were enrolled. The median age was 64 years (range 19-91) and 52% were female. Thirty-four (17%) patients were obese (BMI >30 kg/<sup>m</sup>
2) and 8 (4%) were underweight (BMI <18 kg/<sup>m</sup>
2). With the Lorenz formula an estimate within 10% was obtained for 56% of patients; with the Crandell formula prediction was poor. Documentation of body weight in notes and patient self-reporting were both accurate. Seventy-two patients (43%) were prescribed one or more drugs for which dosing potentially should be adjusted for body weight. Conclusions: In adult hospitalized patients, the estimation of body weight by anthropomorphic measures is not accurate. This supports the need for equipment to be made widely available to accurately weigh patients directly in hospital, including in unconscious and immobile patients.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002B01</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Estimation</s0>
<s5>02</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Estimation</s0>
<s5>02</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Estimación</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Poids corporel</s0>
<s5>03</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Body weight</s0>
<s5>03</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Peso corporal</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Hospitalisation</s0>
<s5>05</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Hospitalization</s0>
<s5>05</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Hospitalización</s0>
<s5>05</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Homme</s0>
<s5>06</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Human</s0>
<s5>06</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Hombre</s0>
<s5>06</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Malade</s0>
<s5>08</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Patient</s0>
<s5>08</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Enfermo</s0>
<s5>08</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Médecine</s0>
<s5>09</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Medicine</s0>
<s5>09</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Medicina</s0>
<s5>09</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Biométrie corporelle</s0>
<s5>37</s5>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Corporal biometry</s0>
<s5>37</s5>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Biometría corporal</s0>
<s5>37</s5>
</fC07>
<fN21><s1>247</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
<server><NO>PASCAL 12-0319990 INIST</NO>
<ET>Estimation of body weight in hospitalized patients</ET>
<AU>DARNIS (S.); FAREAU (N.); CORALLO (C. E.); POOLE (S.); DOOLEY (M. J.); CHENG (A. C.)</AU>
<AF>Université Aix Marseille II/Faculté de Pharmacie la Timone/Marseille/France (1 aut.); Faculté de Pharmacie-UPS/Toulouse III/France (2 aut.); Department of Pharmacy, Alfred Hospital/Melbourne 3004/Australie (3 aut., 4 aut., 5 aut.); Faculty of Pharmacy and Pharmaceutical Sciences/Melbourne 3004/Australie (4 aut.); Centre for Medicine Use and Safety, Monash Institute of Pharmaceutical Sciences, Monash University/Melbourne 3004/Australie (5 aut.); Infectious Disease Unit, Alfred Hospital/Melbourne 3004/Australie (6 aut.); Department of Epidemiology and Preventive Medicine, Monash University/Melbourne 3004/Australie (6 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>QJM : (Oxford. 1994. Print); ISSN 1460-2725; Royaume-Uni; Da. 2012; Vol. 105; No. 8; Pp. 769-774; Bibl. 16 ref.</SO>
<LA>Anglais</LA>
<EA>Aim: To examine the bias and precision of different methods of estimating body mass and height in hospitalized adult patients. Methods: Patients were enrolled at the Alfred and Caulfield hospitals, Melbourne, Australia following verbal consent. Estimates were made using the Lorenz formula (that utilizes height, waist and hip circumference), the Crandell formula (that utilizes height and arm circumference) and visual estimation of weight based on the average results obtained by two pharmacy interns. Statistical error was calculated as the ratio of estimated to actual weight; bias was assessed as the mean error and precision as the proportion of estimates within 10 and 20% of measured weight and standard deviation of the error. Results: In a 5-week period July to August 2010, 198 patients were enrolled. The median age was 64 years (range 19-91) and 52% were female. Thirty-four (17%) patients were obese (BMI >30 kg/<sup>m</sup>
2) and 8 (4%) were underweight (BMI <18 kg/<sup>m</sup>
2). With the Lorenz formula an estimate within 10% was obtained for 56% of patients; with the Crandell formula prediction was poor. Documentation of body weight in notes and patient self-reporting were both accurate. Seventy-two patients (43%) were prescribed one or more drugs for which dosing potentially should be adjusted for body weight. Conclusions: In adult hospitalized patients, the estimation of body weight by anthropomorphic measures is not accurate. This supports the need for equipment to be made widely available to accurately weigh patients directly in hospital, including in unconscious and immobile patients.</EA>
<CC>002B01</CC>
<FD>Estimation; Poids corporel; Hospitalisation; Homme; Malade; Médecine</FD>
<FG>Biométrie corporelle</FG>
<ED>Estimation; Body weight; Hospitalization; Human; Patient; Medicine</ED>
<EG>Corporal biometry</EG>
<SD>Estimación; Peso corporal; Hospitalización; Hombre; Enfermo; Medicina</SD>
<LO>INIST-5050.354000504403880070</LO>
<ID>12-0319990</ID>
</server>
</inist>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Asie/explor/AustralieFrV1/Data/PascalFrancis/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001204 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Corpus/biblio.hfd -nk 001204 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Asie |area= AustralieFrV1 |flux= PascalFrancis |étape= Corpus |type= RBID |clé= Pascal:12-0319990 |texte= Estimation of body weight in hospitalized patients }}
![]() | This area was generated with Dilib version V0.6.33. | ![]() |