Relationship between skeletal muscle mass and liver fibrosis markers for patients with hepatitis C virus related liver disease

We aimed to elucidate the relationship between serum liver fibrosis markers (Mac-2 binding protein glycosylation isomer (M2BPGi), FIB-4 index, aspartate aminotransferase to platelet ratio index and hyaluronic acid), and skeletal muscle mass and to investigate factors linked to skeletal muscle mass l...

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Veröffentlicht in:Medicine (Baltimore) 2017-12, Vol.96 (48), p.e8761-e8761
Hauptverfasser: Takata, Ryo, Nishikawa, Hiroki, Enomoto, Hirayuki, Iwata, Yoshinori, Ishii, Akio, Miyamoto, Yuho, Ishii, Noriko, Yuri, Yukihisa, Hasegawa, Kunihiro, Nakano, Chikage, Nishimura, Takashi, Yoh, Kazunori, Aizawa, Nobuhiro, Sakai, Yoshiyuki, Ikeda, Naoto, Takashima, Tomoyuki, Iijima, Hiroko, Nishiguchi, Shuhei
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container_issue 48
container_start_page e8761
container_title Medicine (Baltimore)
container_volume 96
creator Takata, Ryo
Nishikawa, Hiroki
Enomoto, Hirayuki
Iwata, Yoshinori
Ishii, Akio
Miyamoto, Yuho
Ishii, Noriko
Yuri, Yukihisa
Hasegawa, Kunihiro
Nakano, Chikage
Nishimura, Takashi
Yoh, Kazunori
Aizawa, Nobuhiro
Sakai, Yoshiyuki
Ikeda, Naoto
Takashima, Tomoyuki
Iijima, Hiroko
Nishiguchi, Shuhei
description We aimed to elucidate the relationship between serum liver fibrosis markers (Mac-2 binding protein glycosylation isomer (M2BPGi), FIB-4 index, aspartate aminotransferase to platelet ratio index and hyaluronic acid), and skeletal muscle mass and to investigate factors linked to skeletal muscle mass loss (SMML) in patients with chronic hepatitis C (CHC, n = 277, median age = 64 years). We defined patients with psoas muscle index [PMI, sum of bilateral psoas muscle mass calculated by manual trace method at the lumber 3 level on the computed tomography images divided by height squared (cm/m)] less than 6.36 cm/m for male and 3.92 cm/m for female as those with SMML based on the recommendations in current guidelines. Receiver operating curve (ROC) analysis was performed for predicting SMML in 4 liver fibrosis markers and parameters linked to SMML were also investigated in the univariate and multivariate analyses. In terms of liver fibrosis stages, F4 was observed in 115 patients, F3 in 67, F2 in 38, F1 in 53, and F0 in 4. The median (range) PMI for male and female were 6.198 (2.999-13.698) and 4.100 (1.691-7.052) cm/m, respectively. There were 72 male patients with SMML (55.4%) and 58 female patients with SMML (39.5%) (P = .0112). In both male and female, a significant inverse correlation between PMI and levels of liver fibrosis markers was observed in all liver fibrosis markers. ROC analyses for predicting SMML revealed that FIB-4 index had the highest area under the ROC (AUC = 0.712), followed by M2BPGi (AUC = 0.692). In the multivariate analysis of factors linked to SMML, gender (P = .0003), body mass index (P 
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We defined patients with psoas muscle index [PMI, sum of bilateral psoas muscle mass calculated by manual trace method at the lumber 3 level on the computed tomography images divided by height squared (cm/m)] less than 6.36 cm/m for male and 3.92 cm/m for female as those with SMML based on the recommendations in current guidelines. Receiver operating curve (ROC) analysis was performed for predicting SMML in 4 liver fibrosis markers and parameters linked to SMML were also investigated in the univariate and multivariate analyses. In terms of liver fibrosis stages, F4 was observed in 115 patients, F3 in 67, F2 in 38, F1 in 53, and F0 in 4. The median (range) PMI for male and female were 6.198 (2.999-13.698) and 4.100 (1.691-7.052) cm/m, respectively. There were 72 male patients with SMML (55.4%) and 58 female patients with SMML (39.5%) (P = .0112). In both male and female, a significant inverse correlation between PMI and levels of liver fibrosis markers was observed in all liver fibrosis markers. ROC analyses for predicting SMML revealed that FIB-4 index had the highest area under the ROC (AUC = 0.712), followed by M2BPGi (AUC = 0.692). In the multivariate analysis of factors linked to SMML, gender (P = .0003), body mass index (P &lt; .0001), FIB-4 index (P = .0039), and M2BPGi (P = .0121) were found to be significant predictors. In conclusion, liver fibrosis markers, especially FIB-4 index, can be helpful for predicting SMML in CHC patients.</description><identifier>ISSN: 0025-7974</identifier><identifier>EISSN: 1536-5964</identifier><identifier>DOI: 10.1097/MD.0000000000008761</identifier><identifier>PMID: 29310350</identifier><language>eng</language><publisher>United States: The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biomarkers - blood ; Biopsy ; Female ; Hepatitis C, Chronic - blood ; Humans ; Japan ; Liver Cirrhosis - blood ; Male ; Middle Aged ; Muscle, Skeletal - anatomy &amp; histology ; Muscle, Skeletal - diagnostic imaging ; Observational Study ; Tomography, X-Ray Computed</subject><ispartof>Medicine (Baltimore), 2017-12, Vol.96 (48), p.e8761-e8761</ispartof><rights>The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved.</rights><rights>Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4500-268c0eec374ac603a5524384286aa5c30cf8f6b103e79fc92749600fd992ee6a3</citedby><cites>FETCH-LOGICAL-c4500-268c0eec374ac603a5524384286aa5c30cf8f6b103e79fc92749600fd992ee6a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728751/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728751/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29310350$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Takata, Ryo</creatorcontrib><creatorcontrib>Nishikawa, Hiroki</creatorcontrib><creatorcontrib>Enomoto, Hirayuki</creatorcontrib><creatorcontrib>Iwata, Yoshinori</creatorcontrib><creatorcontrib>Ishii, Akio</creatorcontrib><creatorcontrib>Miyamoto, Yuho</creatorcontrib><creatorcontrib>Ishii, Noriko</creatorcontrib><creatorcontrib>Yuri, Yukihisa</creatorcontrib><creatorcontrib>Hasegawa, Kunihiro</creatorcontrib><creatorcontrib>Nakano, Chikage</creatorcontrib><creatorcontrib>Nishimura, Takashi</creatorcontrib><creatorcontrib>Yoh, Kazunori</creatorcontrib><creatorcontrib>Aizawa, Nobuhiro</creatorcontrib><creatorcontrib>Sakai, Yoshiyuki</creatorcontrib><creatorcontrib>Ikeda, Naoto</creatorcontrib><creatorcontrib>Takashima, Tomoyuki</creatorcontrib><creatorcontrib>Iijima, Hiroko</creatorcontrib><creatorcontrib>Nishiguchi, Shuhei</creatorcontrib><title>Relationship between skeletal muscle mass and liver fibrosis markers for patients with hepatitis C virus related liver disease</title><title>Medicine (Baltimore)</title><addtitle>Medicine (Baltimore)</addtitle><description>We aimed to elucidate the relationship between serum liver fibrosis markers (Mac-2 binding protein glycosylation isomer (M2BPGi), FIB-4 index, aspartate aminotransferase to platelet ratio index and hyaluronic acid), and skeletal muscle mass and to investigate factors linked to skeletal muscle mass loss (SMML) in patients with chronic hepatitis C (CHC, n = 277, median age = 64 years). We defined patients with psoas muscle index [PMI, sum of bilateral psoas muscle mass calculated by manual trace method at the lumber 3 level on the computed tomography images divided by height squared (cm/m)] less than 6.36 cm/m for male and 3.92 cm/m for female as those with SMML based on the recommendations in current guidelines. Receiver operating curve (ROC) analysis was performed for predicting SMML in 4 liver fibrosis markers and parameters linked to SMML were also investigated in the univariate and multivariate analyses. In terms of liver fibrosis stages, F4 was observed in 115 patients, F3 in 67, F2 in 38, F1 in 53, and F0 in 4. The median (range) PMI for male and female were 6.198 (2.999-13.698) and 4.100 (1.691-7.052) cm/m, respectively. There were 72 male patients with SMML (55.4%) and 58 female patients with SMML (39.5%) (P = .0112). In both male and female, a significant inverse correlation between PMI and levels of liver fibrosis markers was observed in all liver fibrosis markers. ROC analyses for predicting SMML revealed that FIB-4 index had the highest area under the ROC (AUC = 0.712), followed by M2BPGi (AUC = 0.692). In the multivariate analysis of factors linked to SMML, gender (P = .0003), body mass index (P &lt; .0001), FIB-4 index (P = .0039), and M2BPGi (P = .0121) were found to be significant predictors. In conclusion, liver fibrosis markers, especially FIB-4 index, can be helpful for predicting SMML in CHC patients.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biomarkers - blood</subject><subject>Biopsy</subject><subject>Female</subject><subject>Hepatitis C, Chronic - blood</subject><subject>Humans</subject><subject>Japan</subject><subject>Liver Cirrhosis - blood</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Muscle, Skeletal - anatomy &amp; histology</subject><subject>Muscle, Skeletal - diagnostic imaging</subject><subject>Observational Study</subject><subject>Tomography, X-Ray Computed</subject><issn>0025-7974</issn><issn>1536-5964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkUtvEzEQxy0EoqHwCZCQj1y2jF_r9QUJpeUhtUJCcLYcZ5Y1cXaD7U3Ehc-OQ9qq4IOtGf_nNy9CXjK4YGD0m5vLC3hwOt2yR2TBlGgbZVr5mCwAuGq00fKMPMv5BwATmsun5IwbwUAoWJDfXzC6EqYxD2FHV1gOiCPNG4xYXKTbOfuIdOtypm5c0xj2mGgfVmnKIVd_2mDKtJ8S3VUMjiXTQygDHfBol6pZ0n1Ic6bpmAjvEOuQ0WV8Tp70LmZ8cfuek2_vr74uPzbXnz98Wr67brxUAA1vOw-IXmjpfAvCKcWl6CTvWueUF-D7rm9XtSfUpveGa2lagH5tDEdsnTgnb0_c3bza4trXQpOLdpdCbeGXnVyw__6MYbDfp71VmndasQp4fQtI088Zc7HbkD3G6Eac5myZ6YxS0jBepeIk9XVIOWF_n4aBPW7O3lza_zdXo149rPA-5m5VVSBPgsMUSx36Js4HTHZAF8vwl6e04Q0Hplm9oKkeAeIP98CmnA</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Takata, Ryo</creator><creator>Nishikawa, Hiroki</creator><creator>Enomoto, Hirayuki</creator><creator>Iwata, Yoshinori</creator><creator>Ishii, Akio</creator><creator>Miyamoto, Yuho</creator><creator>Ishii, Noriko</creator><creator>Yuri, Yukihisa</creator><creator>Hasegawa, Kunihiro</creator><creator>Nakano, Chikage</creator><creator>Nishimura, Takashi</creator><creator>Yoh, Kazunori</creator><creator>Aizawa, Nobuhiro</creator><creator>Sakai, Yoshiyuki</creator><creator>Ikeda, Naoto</creator><creator>Takashima, Tomoyuki</creator><creator>Iijima, Hiroko</creator><creator>Nishiguchi, Shuhei</creator><general>The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved</general><general>Wolters Kluwer Health</general><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><scope>5PM</scope></search><sort><creationdate>20171201</creationdate><title>Relationship between skeletal muscle mass and liver fibrosis markers for patients with hepatitis C virus related liver disease</title><author>Takata, Ryo ; Nishikawa, Hiroki ; Enomoto, Hirayuki ; Iwata, Yoshinori ; Ishii, Akio ; Miyamoto, Yuho ; Ishii, Noriko ; Yuri, Yukihisa ; Hasegawa, Kunihiro ; Nakano, Chikage ; Nishimura, Takashi ; Yoh, Kazunori ; Aizawa, Nobuhiro ; Sakai, Yoshiyuki ; Ikeda, Naoto ; Takashima, Tomoyuki ; Iijima, Hiroko ; Nishiguchi, Shuhei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4500-268c0eec374ac603a5524384286aa5c30cf8f6b103e79fc92749600fd992ee6a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biomarkers - blood</topic><topic>Biopsy</topic><topic>Female</topic><topic>Hepatitis C, Chronic - blood</topic><topic>Humans</topic><topic>Japan</topic><topic>Liver Cirrhosis - blood</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Muscle, Skeletal - anatomy &amp; histology</topic><topic>Muscle, Skeletal - diagnostic imaging</topic><topic>Observational Study</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Takata, Ryo</creatorcontrib><creatorcontrib>Nishikawa, Hiroki</creatorcontrib><creatorcontrib>Enomoto, Hirayuki</creatorcontrib><creatorcontrib>Iwata, Yoshinori</creatorcontrib><creatorcontrib>Ishii, Akio</creatorcontrib><creatorcontrib>Miyamoto, Yuho</creatorcontrib><creatorcontrib>Ishii, Noriko</creatorcontrib><creatorcontrib>Yuri, Yukihisa</creatorcontrib><creatorcontrib>Hasegawa, Kunihiro</creatorcontrib><creatorcontrib>Nakano, Chikage</creatorcontrib><creatorcontrib>Nishimura, Takashi</creatorcontrib><creatorcontrib>Yoh, Kazunori</creatorcontrib><creatorcontrib>Aizawa, Nobuhiro</creatorcontrib><creatorcontrib>Sakai, Yoshiyuki</creatorcontrib><creatorcontrib>Ikeda, Naoto</creatorcontrib><creatorcontrib>Takashima, Tomoyuki</creatorcontrib><creatorcontrib>Iijima, Hiroko</creatorcontrib><creatorcontrib>Nishiguchi, Shuhei</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medicine (Baltimore)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Takata, Ryo</au><au>Nishikawa, Hiroki</au><au>Enomoto, Hirayuki</au><au>Iwata, Yoshinori</au><au>Ishii, Akio</au><au>Miyamoto, Yuho</au><au>Ishii, Noriko</au><au>Yuri, Yukihisa</au><au>Hasegawa, Kunihiro</au><au>Nakano, Chikage</au><au>Nishimura, Takashi</au><au>Yoh, Kazunori</au><au>Aizawa, Nobuhiro</au><au>Sakai, Yoshiyuki</au><au>Ikeda, Naoto</au><au>Takashima, Tomoyuki</au><au>Iijima, Hiroko</au><au>Nishiguchi, Shuhei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship between skeletal muscle mass and liver fibrosis markers for patients with hepatitis C virus related liver disease</atitle><jtitle>Medicine (Baltimore)</jtitle><addtitle>Medicine (Baltimore)</addtitle><date>2017-12-01</date><risdate>2017</risdate><volume>96</volume><issue>48</issue><spage>e8761</spage><epage>e8761</epage><pages>e8761-e8761</pages><issn>0025-7974</issn><eissn>1536-5964</eissn><abstract>We aimed to elucidate the relationship between serum liver fibrosis markers (Mac-2 binding protein glycosylation isomer (M2BPGi), FIB-4 index, aspartate aminotransferase to platelet ratio index and hyaluronic acid), and skeletal muscle mass and to investigate factors linked to skeletal muscle mass loss (SMML) in patients with chronic hepatitis C (CHC, n = 277, median age = 64 years). We defined patients with psoas muscle index [PMI, sum of bilateral psoas muscle mass calculated by manual trace method at the lumber 3 level on the computed tomography images divided by height squared (cm/m)] less than 6.36 cm/m for male and 3.92 cm/m for female as those with SMML based on the recommendations in current guidelines. Receiver operating curve (ROC) analysis was performed for predicting SMML in 4 liver fibrosis markers and parameters linked to SMML were also investigated in the univariate and multivariate analyses. In terms of liver fibrosis stages, F4 was observed in 115 patients, F3 in 67, F2 in 38, F1 in 53, and F0 in 4. The median (range) PMI for male and female were 6.198 (2.999-13.698) and 4.100 (1.691-7.052) cm/m, respectively. There were 72 male patients with SMML (55.4%) and 58 female patients with SMML (39.5%) (P = .0112). In both male and female, a significant inverse correlation between PMI and levels of liver fibrosis markers was observed in all liver fibrosis markers. ROC analyses for predicting SMML revealed that FIB-4 index had the highest area under the ROC (AUC = 0.712), followed by M2BPGi (AUC = 0.692). In the multivariate analysis of factors linked to SMML, gender (P = .0003), body mass index (P &lt; .0001), FIB-4 index (P = .0039), and M2BPGi (P = .0121) were found to be significant predictors. In conclusion, liver fibrosis markers, especially FIB-4 index, can be helpful for predicting SMML in CHC patients.</abstract><cop>United States</cop><pub>The Authors. Published by Wolters Kluwer Health, Inc. All rights reserved</pub><pmid>29310350</pmid><doi>10.1097/MD.0000000000008761</doi><oa>free_for_read</oa></addata></record>
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subjects Adult
Aged
Aged, 80 and over
Biomarkers - blood
Biopsy
Female
Hepatitis C, Chronic - blood
Humans
Japan
Liver Cirrhosis - blood
Male
Middle Aged
Muscle, Skeletal - anatomy & histology
Muscle, Skeletal - diagnostic imaging
Observational Study
Tomography, X-Ray Computed
title Relationship between skeletal muscle mass and liver fibrosis markers for patients with hepatitis C virus related liver disease
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