Impact of liver fibrosis score on prognosis in patients with previous myocardial infarction: A prospective cohort study
BACKGROUND & AIMS Liver fibrosis score (LFS) has been used for predicting the cardiovascular outcomes (CVOs) in diverse populations. However, the association of LFS with CVOs in patients with previous myocardial infarction (MI) remains undetermined. We aimed to examine the prognostic value of LF...
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| Veröffentlicht in: | Liver international 2021-06, Vol.41 (6), p.1294-1304 |
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| creator | Cao, Ye‐Xuan Zhang, Meng Zhang, Hui‐Wen Jin, Jing‐Lu Liu, Hui‐Hui Zhang, Yan Guo, Yuan‐Lin Wu, Na‐Qiong Zhu, Cheng‐Gang Xu, Rui‐Xia Gao, Ying Dong, Qian Sun, Jing Li, Jian‐Jun |
| description | BACKGROUND & AIMS
Liver fibrosis score (LFS) has been used for predicting the cardiovascular outcomes (CVOs) in diverse populations. However, the association of LFS with CVOs in patients with previous myocardial infarction (MI) remains undetermined. We aimed to examine the prognostic value of LFS in patients with prior MI in a prospective cohort.
METHODS
A total of 3718 patients with previous MI were consecutively enrolled from March 2009 to January 2019. Five LFSs including the fibrosis‐4 (FIB‐4) score, non‐alcohol fatty liver disease fibrosis score (NFS), Forns score, HUI score and BARD score were used. The CVOs covered major adverse cardiac event (MACEs), cardiovascular mortality and all‐cause mortality. Cox proportional hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs).
RESULTS
During a mean follow‐up of 47.4 ± 24.8 months, 431 (11.6%) MACEs occurred. Kaplan‐Meier analysis demonstrated that higher LFSs resulted in a significantly higher probability of CVOs. Compared to the lowest score group, multivariable‐adjusted HRs (95% CIs) of the highest group of FIB‐4, NFS, Forns score, HUI score and BARD score were 1.75 (1.32‐2.33), 2.37 (1.70‐3.33), 2.44 (1.61‐3.73), 1.58 (1.16‐2.14) and 1.27 (1.03‐1.57) respectively. These LFSs were also independent predictors of cardiovascular mortality and all‐cause mortality. Similar results were observed across subgroups analysis. The addition of LFSs to a prediction model significantly increased the C‐statistic for CVOs.
CONCLUSIONS
The present study firstly demonstrated that LFS could be used as a risk stratification tool for predicting CVOs in patients with previous MI, which should be evaluated further. |
| doi_str_mv | 10.1111/liv.14780 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2475088244</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2528371914</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3530-a7660dbe9493b719453b38aeca3504f7d839a020b52ce08ad498f527ec859a0e3</originalsourceid><addsrcrecordid>eNp1kclOwzAQhi0EomwHXgBZ4gKHgtfG4YYQS6VKXICr5TgTcJXExU5a9e1xF3pAwpfxeD7__j2D0DklNzSt29rNb6jIFNlDR6s45IzT_d2e8QE6jnFKCM1zSQ_RgHOuckXEEVqMm5mxHfYVTioQcOWK4KOLOFofAPsWz4L_bNdHLiWmc9B2ES9c95VKMHe-j7hZemtC6UydoMoE2znf3uH71eU4g5TOAVv_5UOHY9eXy1N0UJk6wtk2nqD3p8e3h5fh5PV5_HA_GVouORmabDQiZQG5yHmR0VxIXnBlwBouiaiyUvHcEEYKySwQZUqRq0qyDKySqQD8BF1tdJOR7x5ipxsXLdS1aSEZ10xkkijFhEjo5R906vvQJneaSaZ4ep6uqOsNZdPPYoBKz4JrTFhqSvRqGjr1Ua-nkdiLrWJfNFDuyN_2J-B2AyxcDcv_lfRk_LGR_AEjq5Uj</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2528371914</pqid></control><display><type>article</type><title>Impact of liver fibrosis score on prognosis in patients with previous myocardial infarction: A prospective cohort study</title><source>Access via Wiley Online Library</source><creator>Cao, Ye‐Xuan ; Zhang, Meng ; Zhang, Hui‐Wen ; Jin, Jing‐Lu ; Liu, Hui‐Hui ; Zhang, Yan ; Guo, Yuan‐Lin ; Wu, Na‐Qiong ; Zhu, Cheng‐Gang ; Xu, Rui‐Xia ; Gao, Ying ; Dong, Qian ; Sun, Jing ; Li, Jian‐Jun</creator><creatorcontrib>Cao, Ye‐Xuan ; Zhang, Meng ; Zhang, Hui‐Wen ; Jin, Jing‐Lu ; Liu, Hui‐Hui ; Zhang, Yan ; Guo, Yuan‐Lin ; Wu, Na‐Qiong ; Zhu, Cheng‐Gang ; Xu, Rui‐Xia ; Gao, Ying ; Dong, Qian ; Sun, Jing ; Li, Jian‐Jun</creatorcontrib><description>BACKGROUND & AIMS
Liver fibrosis score (LFS) has been used for predicting the cardiovascular outcomes (CVOs) in diverse populations. However, the association of LFS with CVOs in patients with previous myocardial infarction (MI) remains undetermined. We aimed to examine the prognostic value of LFS in patients with prior MI in a prospective cohort.
METHODS
A total of 3718 patients with previous MI were consecutively enrolled from March 2009 to January 2019. Five LFSs including the fibrosis‐4 (FIB‐4) score, non‐alcohol fatty liver disease fibrosis score (NFS), Forns score, HUI score and BARD score were used. The CVOs covered major adverse cardiac event (MACEs), cardiovascular mortality and all‐cause mortality. Cox proportional hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs).
RESULTS
During a mean follow‐up of 47.4 ± 24.8 months, 431 (11.6%) MACEs occurred. Kaplan‐Meier analysis demonstrated that higher LFSs resulted in a significantly higher probability of CVOs. Compared to the lowest score group, multivariable‐adjusted HRs (95% CIs) of the highest group of FIB‐4, NFS, Forns score, HUI score and BARD score were 1.75 (1.32‐2.33), 2.37 (1.70‐3.33), 2.44 (1.61‐3.73), 1.58 (1.16‐2.14) and 1.27 (1.03‐1.57) respectively. These LFSs were also independent predictors of cardiovascular mortality and all‐cause mortality. Similar results were observed across subgroups analysis. The addition of LFSs to a prediction model significantly increased the C‐statistic for CVOs.
CONCLUSIONS
The present study firstly demonstrated that LFS could be used as a risk stratification tool for predicting CVOs in patients with previous MI, which should be evaluated further.</description><identifier>ISSN: 1478-3223</identifier><identifier>EISSN: 1478-3231</identifier><identifier>DOI: 10.1111/liv.14780</identifier><identifier>PMID: 33389804</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>all‐cause mortality ; Cardiovascular diseases ; cardiovascular mortality ; Cohort analysis ; Confidence intervals ; Fatty liver ; Fibrosis ; Health hazards ; Heart attacks ; Liver ; Liver diseases ; liver fibrosis score ; major adverse cardiac event ; Mortality ; Myocardial infarction ; Prediction models ; Statistical analysis ; Statistical models ; Subgroups</subject><ispartof>Liver international, 2021-06, Vol.41 (6), p.1294-1304</ispartof><rights>2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd</rights><rights>2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.</rights><rights>2021 John Wiley & Sons A/S</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3530-a7660dbe9493b719453b38aeca3504f7d839a020b52ce08ad498f527ec859a0e3</citedby><cites>FETCH-LOGICAL-c3530-a7660dbe9493b719453b38aeca3504f7d839a020b52ce08ad498f527ec859a0e3</cites><orcidid>0000-0003-2536-4364</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fliv.14780$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fliv.14780$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33389804$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cao, Ye‐Xuan</creatorcontrib><creatorcontrib>Zhang, Meng</creatorcontrib><creatorcontrib>Zhang, Hui‐Wen</creatorcontrib><creatorcontrib>Jin, Jing‐Lu</creatorcontrib><creatorcontrib>Liu, Hui‐Hui</creatorcontrib><creatorcontrib>Zhang, Yan</creatorcontrib><creatorcontrib>Guo, Yuan‐Lin</creatorcontrib><creatorcontrib>Wu, Na‐Qiong</creatorcontrib><creatorcontrib>Zhu, Cheng‐Gang</creatorcontrib><creatorcontrib>Xu, Rui‐Xia</creatorcontrib><creatorcontrib>Gao, Ying</creatorcontrib><creatorcontrib>Dong, Qian</creatorcontrib><creatorcontrib>Sun, Jing</creatorcontrib><creatorcontrib>Li, Jian‐Jun</creatorcontrib><title>Impact of liver fibrosis score on prognosis in patients with previous myocardial infarction: A prospective cohort study</title><title>Liver international</title><addtitle>Liver Int</addtitle><description>BACKGROUND & AIMS
Liver fibrosis score (LFS) has been used for predicting the cardiovascular outcomes (CVOs) in diverse populations. However, the association of LFS with CVOs in patients with previous myocardial infarction (MI) remains undetermined. We aimed to examine the prognostic value of LFS in patients with prior MI in a prospective cohort.
METHODS
A total of 3718 patients with previous MI were consecutively enrolled from March 2009 to January 2019. Five LFSs including the fibrosis‐4 (FIB‐4) score, non‐alcohol fatty liver disease fibrosis score (NFS), Forns score, HUI score and BARD score were used. The CVOs covered major adverse cardiac event (MACEs), cardiovascular mortality and all‐cause mortality. Cox proportional hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs).
RESULTS
During a mean follow‐up of 47.4 ± 24.8 months, 431 (11.6%) MACEs occurred. Kaplan‐Meier analysis demonstrated that higher LFSs resulted in a significantly higher probability of CVOs. Compared to the lowest score group, multivariable‐adjusted HRs (95% CIs) of the highest group of FIB‐4, NFS, Forns score, HUI score and BARD score were 1.75 (1.32‐2.33), 2.37 (1.70‐3.33), 2.44 (1.61‐3.73), 1.58 (1.16‐2.14) and 1.27 (1.03‐1.57) respectively. These LFSs were also independent predictors of cardiovascular mortality and all‐cause mortality. Similar results were observed across subgroups analysis. The addition of LFSs to a prediction model significantly increased the C‐statistic for CVOs.
CONCLUSIONS
The present study firstly demonstrated that LFS could be used as a risk stratification tool for predicting CVOs in patients with previous MI, which should be evaluated further.</description><subject>all‐cause mortality</subject><subject>Cardiovascular diseases</subject><subject>cardiovascular mortality</subject><subject>Cohort analysis</subject><subject>Confidence intervals</subject><subject>Fatty liver</subject><subject>Fibrosis</subject><subject>Health hazards</subject><subject>Heart attacks</subject><subject>Liver</subject><subject>Liver diseases</subject><subject>liver fibrosis score</subject><subject>major adverse cardiac event</subject><subject>Mortality</subject><subject>Myocardial infarction</subject><subject>Prediction models</subject><subject>Statistical analysis</subject><subject>Statistical models</subject><subject>Subgroups</subject><issn>1478-3223</issn><issn>1478-3231</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kclOwzAQhi0EomwHXgBZ4gKHgtfG4YYQS6VKXICr5TgTcJXExU5a9e1xF3pAwpfxeD7__j2D0DklNzSt29rNb6jIFNlDR6s45IzT_d2e8QE6jnFKCM1zSQ_RgHOuckXEEVqMm5mxHfYVTioQcOWK4KOLOFofAPsWz4L_bNdHLiWmc9B2ES9c95VKMHe-j7hZemtC6UydoMoE2znf3uH71eU4g5TOAVv_5UOHY9eXy1N0UJk6wtk2nqD3p8e3h5fh5PV5_HA_GVouORmabDQiZQG5yHmR0VxIXnBlwBouiaiyUvHcEEYKySwQZUqRq0qyDKySqQD8BF1tdJOR7x5ipxsXLdS1aSEZ10xkkijFhEjo5R906vvQJneaSaZ4ep6uqOsNZdPPYoBKz4JrTFhqSvRqGjr1Ua-nkdiLrWJfNFDuyN_2J-B2AyxcDcv_lfRk_LGR_AEjq5Uj</recordid><startdate>202106</startdate><enddate>202106</enddate><creator>Cao, Ye‐Xuan</creator><creator>Zhang, Meng</creator><creator>Zhang, Hui‐Wen</creator><creator>Jin, Jing‐Lu</creator><creator>Liu, Hui‐Hui</creator><creator>Zhang, Yan</creator><creator>Guo, Yuan‐Lin</creator><creator>Wu, Na‐Qiong</creator><creator>Zhu, Cheng‐Gang</creator><creator>Xu, Rui‐Xia</creator><creator>Gao, Ying</creator><creator>Dong, Qian</creator><creator>Sun, Jing</creator><creator>Li, Jian‐Jun</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7T5</scope><scope>7U9</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2536-4364</orcidid></search><sort><creationdate>202106</creationdate><title>Impact of liver fibrosis score on prognosis in patients with previous myocardial infarction: A prospective cohort study</title><author>Cao, Ye‐Xuan ; Zhang, Meng ; Zhang, Hui‐Wen ; Jin, Jing‐Lu ; Liu, Hui‐Hui ; Zhang, Yan ; Guo, Yuan‐Lin ; Wu, Na‐Qiong ; Zhu, Cheng‐Gang ; Xu, Rui‐Xia ; Gao, Ying ; Dong, Qian ; Sun, Jing ; Li, Jian‐Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3530-a7660dbe9493b719453b38aeca3504f7d839a020b52ce08ad498f527ec859a0e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>all‐cause mortality</topic><topic>Cardiovascular diseases</topic><topic>cardiovascular mortality</topic><topic>Cohort analysis</topic><topic>Confidence intervals</topic><topic>Fatty liver</topic><topic>Fibrosis</topic><topic>Health hazards</topic><topic>Heart attacks</topic><topic>Liver</topic><topic>Liver diseases</topic><topic>liver fibrosis score</topic><topic>major adverse cardiac event</topic><topic>Mortality</topic><topic>Myocardial infarction</topic><topic>Prediction models</topic><topic>Statistical analysis</topic><topic>Statistical models</topic><topic>Subgroups</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cao, Ye‐Xuan</creatorcontrib><creatorcontrib>Zhang, Meng</creatorcontrib><creatorcontrib>Zhang, Hui‐Wen</creatorcontrib><creatorcontrib>Jin, Jing‐Lu</creatorcontrib><creatorcontrib>Liu, Hui‐Hui</creatorcontrib><creatorcontrib>Zhang, Yan</creatorcontrib><creatorcontrib>Guo, Yuan‐Lin</creatorcontrib><creatorcontrib>Wu, Na‐Qiong</creatorcontrib><creatorcontrib>Zhu, Cheng‐Gang</creatorcontrib><creatorcontrib>Xu, Rui‐Xia</creatorcontrib><creatorcontrib>Gao, Ying</creatorcontrib><creatorcontrib>Dong, Qian</creatorcontrib><creatorcontrib>Sun, Jing</creatorcontrib><creatorcontrib>Li, Jian‐Jun</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Immunology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Liver international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cao, Ye‐Xuan</au><au>Zhang, Meng</au><au>Zhang, Hui‐Wen</au><au>Jin, Jing‐Lu</au><au>Liu, Hui‐Hui</au><au>Zhang, Yan</au><au>Guo, Yuan‐Lin</au><au>Wu, Na‐Qiong</au><au>Zhu, Cheng‐Gang</au><au>Xu, Rui‐Xia</au><au>Gao, Ying</au><au>Dong, Qian</au><au>Sun, Jing</au><au>Li, Jian‐Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of liver fibrosis score on prognosis in patients with previous myocardial infarction: A prospective cohort study</atitle><jtitle>Liver international</jtitle><addtitle>Liver Int</addtitle><date>2021-06</date><risdate>2021</risdate><volume>41</volume><issue>6</issue><spage>1294</spage><epage>1304</epage><pages>1294-1304</pages><issn>1478-3223</issn><eissn>1478-3231</eissn><abstract>BACKGROUND & AIMS
Liver fibrosis score (LFS) has been used for predicting the cardiovascular outcomes (CVOs) in diverse populations. However, the association of LFS with CVOs in patients with previous myocardial infarction (MI) remains undetermined. We aimed to examine the prognostic value of LFS in patients with prior MI in a prospective cohort.
METHODS
A total of 3718 patients with previous MI were consecutively enrolled from March 2009 to January 2019. Five LFSs including the fibrosis‐4 (FIB‐4) score, non‐alcohol fatty liver disease fibrosis score (NFS), Forns score, HUI score and BARD score were used. The CVOs covered major adverse cardiac event (MACEs), cardiovascular mortality and all‐cause mortality. Cox proportional hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs).
RESULTS
During a mean follow‐up of 47.4 ± 24.8 months, 431 (11.6%) MACEs occurred. Kaplan‐Meier analysis demonstrated that higher LFSs resulted in a significantly higher probability of CVOs. Compared to the lowest score group, multivariable‐adjusted HRs (95% CIs) of the highest group of FIB‐4, NFS, Forns score, HUI score and BARD score were 1.75 (1.32‐2.33), 2.37 (1.70‐3.33), 2.44 (1.61‐3.73), 1.58 (1.16‐2.14) and 1.27 (1.03‐1.57) respectively. These LFSs were also independent predictors of cardiovascular mortality and all‐cause mortality. Similar results were observed across subgroups analysis. The addition of LFSs to a prediction model significantly increased the C‐statistic for CVOs.
CONCLUSIONS
The present study firstly demonstrated that LFS could be used as a risk stratification tool for predicting CVOs in patients with previous MI, which should be evaluated further.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>33389804</pmid><doi>10.1111/liv.14780</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-2536-4364</orcidid></addata></record> |
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| subjects | all‐cause mortality Cardiovascular diseases cardiovascular mortality Cohort analysis Confidence intervals Fatty liver Fibrosis Health hazards Heart attacks Liver Liver diseases liver fibrosis score major adverse cardiac event Mortality Myocardial infarction Prediction models Statistical analysis Statistical models Subgroups |
| title | Impact of liver fibrosis score on prognosis in patients with previous myocardial infarction: A prospective cohort study |
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