Assessment of trabecular bone score using updated TBSTT in anorexia nervosa-The AN-BO study
Anorexia Nervosa (AN) is characterized by a distortion of body image, very low body weight, malnutrition and hormonal dysregulations, resulting in reduced bone mineral density (BMD) and impaired bone microarchitecture. The updated Trabecular Bone Score (TBS) algorithm accounts for soft tissue thickn...
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| creator | Haschka, Judith Behanova, Martina Hans, Didier Arens, Annina Muschitz, Christian Dzirlo, Larisa Binder, Julia Kapiotis, Stylianos Zwerina, Jochen Resch, Heinrich Kocijan, Roland |
| description | Anorexia Nervosa (AN) is characterized by a distortion of body image, very low body weight, malnutrition and hormonal dysregulations, resulting in reduced bone mineral density (BMD) and impaired bone microarchitecture. The updated Trabecular Bone Score (TBS) algorithm accounts for soft tissue thickness (TBSTT) instead of BMI (TBSBMI). The aim of the study was to assess both TBS algorithms in adult AN patients compared to normal-weight controls(CTRL).
This retrospective cross-sectional study investigated 34 adult female anorexia nervosa (AN) patients and 26 healthy normal-weighted age- and sex-matched controls (CTRL). Bone texture analysis was assessed by TBSTT and TBSBMI (TBS iNsight® V4.0 and V3.1), bone mineral density (BMD; lumbar spine LS, femoral neck, total hip) and body composition by DXA (GE Lunar iDXATM). Laboratory analyses included bone turnover markers (CTX; P1NP; sclerostin). Data analysis was performed using parametric (t-test) or non-parametric test (Mann-Whitney-U-Test) depending on normality, one-way ANCOVA and correlation analysis (Perason's or Spearman's).
AN patients (BMI 14.7(1.6)) and CTRL (BMI 22.4(4.0)) were of comparable age (22.8(7.1) vs.25.0(4.0)years, p = 0.145). TBSTT(1.319±0.09 vs.1.502±0.07, p |
| doi_str_mv | 10.1371/journal.pone.0311499 |
| format | Article |
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This retrospective cross-sectional study investigated 34 adult female anorexia nervosa (AN) patients and 26 healthy normal-weighted age- and sex-matched controls (CTRL). Bone texture analysis was assessed by TBSTT and TBSBMI (TBS iNsight® V4.0 and V3.1), bone mineral density (BMD; lumbar spine LS, femoral neck, total hip) and body composition by DXA (GE Lunar iDXATM). Laboratory analyses included bone turnover markers (CTX; P1NP; sclerostin). Data analysis was performed using parametric (t-test) or non-parametric test (Mann-Whitney-U-Test) depending on normality, one-way ANCOVA and correlation analysis (Perason's or Spearman's).
AN patients (BMI 14.7(1.6)) and CTRL (BMI 22.4(4.0)) were of comparable age (22.8(7.1) vs.25.0(4.0)years, p = 0.145). TBSTT(1.319±0.09 vs.1.502±0.07, p<0.001) and TBSBMI(1.317±0.10 vs.1.548±0.09, p<0.001) were significantly lower in AN patients compared to CTRL. Soft tissue thickness was lower in AN (p<0.001). Within the CTRL group, but not in AN, TBSTT and TBSBMI were significantly different (p<0.001). BMD was lower at all sites in AN patients (p<0.001 for all), being lowest at LS. Bone Mineral Content, Lean Body mass and Fat Mass were lower in AN (p<0.001). AN patients had lower P1NP (p = 0.05), but higher CTX (p = 0.001) and sclerostin (p = 0.003) levels.
Adult AN patients have lower TBSTT and TBSBMI, reduced BMD and an uncoupling of bone turnover. In AN both TBS algorithms show similar reduced trabecular bone microarchitecture. The observed difference of TBSTT and TBSBMI in CTRL with normal body composition highlight the importance of the new algorithm.]]></description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0311499</identifier><identifier>PMID: 39423193</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Absorptiometry, Photon ; Adult ; Age ; Algorithms ; Amenorrhea ; Anorexia ; Anorexia Nervosa - diagnostic imaging ; Anorexia Nervosa - physiopathology ; Biomedical materials ; Body Composition ; Body fat ; Body image ; Body Mass Index ; Body weight ; Bone composition ; Bone Density ; Bone mass ; Bone mineral content ; Bone mineral density ; Bone turnover ; Cancellous bone ; Cancellous Bone - diagnostic imaging ; Cancellous Bone - pathology ; Cancellous Bone - physiopathology ; Case-Control Studies ; Child development ; Collagen ; Correlation analysis ; Cross-Sectional Studies ; Data analysis ; Disease ; Dual energy X-ray absorptiometry ; Eating disorders ; Female ; Females ; Fractures ; Humans ; Immunoassay ; Independent sample ; Laboratories ; Lean body mass ; Lumbar Vertebrae - diagnostic imaging ; Lumbar Vertebrae - physiopathology ; Malnutrition ; Retrospective Studies ; Risk factors ; Soft tissues ; Software upgrading ; SOST protein ; Spine ; Spine (lumbar) ; Thickness ; Variables ; Young Adult ; Young adults</subject><ispartof>PloS one, 2024-10, Vol.19 (10), p.e0311499</ispartof><rights>Copyright: © 2024 Haschka et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>2024 Haschka et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c260t-ac4032158d16861aeaab06affc5f74342ed0c01ab50a15a046a156046a87a8a33</cites><orcidid>0000-0003-4758-6785 ; 0000-0002-5725-9270</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,2928,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39423193$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Premaor, Melissa Orlandin</contributor><creatorcontrib>Haschka, Judith</creatorcontrib><creatorcontrib>Behanova, Martina</creatorcontrib><creatorcontrib>Hans, Didier</creatorcontrib><creatorcontrib>Arens, Annina</creatorcontrib><creatorcontrib>Muschitz, Christian</creatorcontrib><creatorcontrib>Dzirlo, Larisa</creatorcontrib><creatorcontrib>Binder, Julia</creatorcontrib><creatorcontrib>Kapiotis, Stylianos</creatorcontrib><creatorcontrib>Zwerina, Jochen</creatorcontrib><creatorcontrib>Resch, Heinrich</creatorcontrib><creatorcontrib>Kocijan, Roland</creatorcontrib><title>Assessment of trabecular bone score using updated TBSTT in anorexia nervosa-The AN-BO study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description><![CDATA[Anorexia Nervosa (AN) is characterized by a distortion of body image, very low body weight, malnutrition and hormonal dysregulations, resulting in reduced bone mineral density (BMD) and impaired bone microarchitecture. The updated Trabecular Bone Score (TBS) algorithm accounts for soft tissue thickness (TBSTT) instead of BMI (TBSBMI). The aim of the study was to assess both TBS algorithms in adult AN patients compared to normal-weight controls(CTRL).
This retrospective cross-sectional study investigated 34 adult female anorexia nervosa (AN) patients and 26 healthy normal-weighted age- and sex-matched controls (CTRL). Bone texture analysis was assessed by TBSTT and TBSBMI (TBS iNsight® V4.0 and V3.1), bone mineral density (BMD; lumbar spine LS, femoral neck, total hip) and body composition by DXA (GE Lunar iDXATM). Laboratory analyses included bone turnover markers (CTX; P1NP; sclerostin). Data analysis was performed using parametric (t-test) or non-parametric test (Mann-Whitney-U-Test) depending on normality, one-way ANCOVA and correlation analysis (Perason's or Spearman's).
AN patients (BMI 14.7(1.6)) and CTRL (BMI 22.4(4.0)) were of comparable age (22.8(7.1) vs.25.0(4.0)years, p = 0.145). TBSTT(1.319±0.09 vs.1.502±0.07, p<0.001) and TBSBMI(1.317±0.10 vs.1.548±0.09, p<0.001) were significantly lower in AN patients compared to CTRL. Soft tissue thickness was lower in AN (p<0.001). Within the CTRL group, but not in AN, TBSTT and TBSBMI were significantly different (p<0.001). BMD was lower at all sites in AN patients (p<0.001 for all), being lowest at LS. Bone Mineral Content, Lean Body mass and Fat Mass were lower in AN (p<0.001). AN patients had lower P1NP (p = 0.05), but higher CTX (p = 0.001) and sclerostin (p = 0.003) levels.
Adult AN patients have lower TBSTT and TBSBMI, reduced BMD and an uncoupling of bone turnover. In AN both TBS algorithms show similar reduced trabecular bone microarchitecture. The observed difference of TBSTT and TBSBMI in CTRL with normal body composition highlight the importance of the new algorithm.]]></description><subject>Absorptiometry, Photon</subject><subject>Adult</subject><subject>Age</subject><subject>Algorithms</subject><subject>Amenorrhea</subject><subject>Anorexia</subject><subject>Anorexia Nervosa - diagnostic imaging</subject><subject>Anorexia Nervosa - physiopathology</subject><subject>Biomedical materials</subject><subject>Body Composition</subject><subject>Body fat</subject><subject>Body image</subject><subject>Body Mass Index</subject><subject>Body weight</subject><subject>Bone composition</subject><subject>Bone Density</subject><subject>Bone mass</subject><subject>Bone mineral content</subject><subject>Bone mineral density</subject><subject>Bone turnover</subject><subject>Cancellous bone</subject><subject>Cancellous Bone - diagnostic imaging</subject><subject>Cancellous Bone - pathology</subject><subject>Cancellous Bone - physiopathology</subject><subject>Case-Control Studies</subject><subject>Child development</subject><subject>Collagen</subject><subject>Correlation analysis</subject><subject>Cross-Sectional Studies</subject><subject>Data analysis</subject><subject>Disease</subject><subject>Dual energy X-ray absorptiometry</subject><subject>Eating disorders</subject><subject>Female</subject><subject>Females</subject><subject>Fractures</subject><subject>Humans</subject><subject>Immunoassay</subject><subject>Independent sample</subject><subject>Laboratories</subject><subject>Lean body mass</subject><subject>Lumbar Vertebrae - 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diagnostic imaging</topic><topic>Anorexia Nervosa - physiopathology</topic><topic>Biomedical materials</topic><topic>Body Composition</topic><topic>Body fat</topic><topic>Body image</topic><topic>Body Mass Index</topic><topic>Body weight</topic><topic>Bone composition</topic><topic>Bone Density</topic><topic>Bone mass</topic><topic>Bone mineral content</topic><topic>Bone mineral density</topic><topic>Bone turnover</topic><topic>Cancellous bone</topic><topic>Cancellous Bone - diagnostic imaging</topic><topic>Cancellous Bone - pathology</topic><topic>Cancellous Bone - physiopathology</topic><topic>Case-Control Studies</topic><topic>Child development</topic><topic>Collagen</topic><topic>Correlation analysis</topic><topic>Cross-Sectional Studies</topic><topic>Data analysis</topic><topic>Disease</topic><topic>Dual energy X-ray absorptiometry</topic><topic>Eating disorders</topic><topic>Female</topic><topic>Females</topic><topic>Fractures</topic><topic>Humans</topic><topic>Immunoassay</topic><topic>Independent sample</topic><topic>Laboratories</topic><topic>Lean body mass</topic><topic>Lumbar Vertebrae - 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Academic</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Haschka, Judith</au><au>Behanova, Martina</au><au>Hans, Didier</au><au>Arens, Annina</au><au>Muschitz, Christian</au><au>Dzirlo, Larisa</au><au>Binder, Julia</au><au>Kapiotis, Stylianos</au><au>Zwerina, Jochen</au><au>Resch, Heinrich</au><au>Kocijan, Roland</au><au>Premaor, Melissa Orlandin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of trabecular bone score using updated TBSTT in anorexia nervosa-The AN-BO study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-10-18</date><risdate>2024</risdate><volume>19</volume><issue>10</issue><spage>e0311499</spage><pages>e0311499-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract><![CDATA[Anorexia Nervosa (AN) is characterized by a distortion of body image, very low body weight, malnutrition and hormonal dysregulations, resulting in reduced bone mineral density (BMD) and impaired bone microarchitecture. The updated Trabecular Bone Score (TBS) algorithm accounts for soft tissue thickness (TBSTT) instead of BMI (TBSBMI). The aim of the study was to assess both TBS algorithms in adult AN patients compared to normal-weight controls(CTRL).
This retrospective cross-sectional study investigated 34 adult female anorexia nervosa (AN) patients and 26 healthy normal-weighted age- and sex-matched controls (CTRL). Bone texture analysis was assessed by TBSTT and TBSBMI (TBS iNsight® V4.0 and V3.1), bone mineral density (BMD; lumbar spine LS, femoral neck, total hip) and body composition by DXA (GE Lunar iDXATM). Laboratory analyses included bone turnover markers (CTX; P1NP; sclerostin). Data analysis was performed using parametric (t-test) or non-parametric test (Mann-Whitney-U-Test) depending on normality, one-way ANCOVA and correlation analysis (Perason's or Spearman's).
AN patients (BMI 14.7(1.6)) and CTRL (BMI 22.4(4.0)) were of comparable age (22.8(7.1) vs.25.0(4.0)years, p = 0.145). TBSTT(1.319±0.09 vs.1.502±0.07, p<0.001) and TBSBMI(1.317±0.10 vs.1.548±0.09, p<0.001) were significantly lower in AN patients compared to CTRL. Soft tissue thickness was lower in AN (p<0.001). Within the CTRL group, but not in AN, TBSTT and TBSBMI were significantly different (p<0.001). BMD was lower at all sites in AN patients (p<0.001 for all), being lowest at LS. Bone Mineral Content, Lean Body mass and Fat Mass were lower in AN (p<0.001). AN patients had lower P1NP (p = 0.05), but higher CTX (p = 0.001) and sclerostin (p = 0.003) levels.
Adult AN patients have lower TBSTT and TBSBMI, reduced BMD and an uncoupling of bone turnover. In AN both TBS algorithms show similar reduced trabecular bone microarchitecture. The observed difference of TBSTT and TBSBMI in CTRL with normal body composition highlight the importance of the new algorithm.]]></abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39423193</pmid><doi>10.1371/journal.pone.0311499</doi><orcidid>https://orcid.org/0000-0003-4758-6785</orcidid><orcidid>https://orcid.org/0000-0002-5725-9270</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2024-10, Vol.19 (10), p.e0311499 |
| issn | 1932-6203 1932-6203 |
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| subjects | Absorptiometry, Photon Adult Age Algorithms Amenorrhea Anorexia Anorexia Nervosa - diagnostic imaging Anorexia Nervosa - physiopathology Biomedical materials Body Composition Body fat Body image Body Mass Index Body weight Bone composition Bone Density Bone mass Bone mineral content Bone mineral density Bone turnover Cancellous bone Cancellous Bone - diagnostic imaging Cancellous Bone - pathology Cancellous Bone - physiopathology Case-Control Studies Child development Collagen Correlation analysis Cross-Sectional Studies Data analysis Disease Dual energy X-ray absorptiometry Eating disorders Female Females Fractures Humans Immunoassay Independent sample Laboratories Lean body mass Lumbar Vertebrae - diagnostic imaging Lumbar Vertebrae - physiopathology Malnutrition Retrospective Studies Risk factors Soft tissues Software upgrading SOST protein Spine Spine (lumbar) Thickness Variables Young Adult Young adults |
| title | Assessment of trabecular bone score using updated TBSTT in anorexia nervosa-The AN-BO study |
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