A risk score for predicting perioperative blood transfusion in liver surgery
Background: It would be desirable to predict which patients are most likely to benefit from preoperative autologous blood donation. This aim of this study was to develop a point scoring system for predicting the need for blood transfusion in liver surgery. Methods: The medical records of 480 consecu...
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| Veröffentlicht in: | British journal of surgery 2007-07, Vol.94 (7), p.860-865 |
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| container_title | British journal of surgery |
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| creator | Pulitanò, C. Arru, M. Bellio, L. Rossini, S. Ferla, G. Aldrighetti, L. |
| description | Background:
It would be desirable to predict which patients are most likely to benefit from preoperative autologous blood donation. This aim of this study was to develop a point scoring system for predicting the need for blood transfusion in liver surgery.
Methods:
The medical records of 480 consecutive patients who underwent hepatic resection were analysed. The data set was split randomly into a derivation set of two‐thirds and a validation set of one‐third. Univariable analysis was carried out to determine the association between clinicopathological factors and blood transfusion. Significant variables were entered into a multiple logistic regression model, and a transfusion risk score (TRS) was developed. The accuracy of the system was validated by calculating the area under the receiver–operator characteristic (ROC) curve.
Results:
Factors associated with blood transfusion in multivariable analysis included preoperative haemoglobin concentration below 12·5 g/dl, largest tumour more than 4 cm, need for exposure of the vena cava, need for an associated procedure, and cirrhosis. Each variable was assigned one point, and the total score was compared with the transfusion status of each patient in the validation set. The TRS accurately predicted the likelihood of blood transfusion. In the validation set the area under the ROC curve was 0·89.
Conclusion:
Use of the TRS could lead to substantial saving by improving the cost‐effectiveness of the autologous blood donation programme. Copyright © 2007 British Journal of Surgery Society Ltd. Published by John Wiley & Sons, Ltd.
Useful when preoperative autologous blood donation is considered |
| doi_str_mv | 10.1002/bjs.5731 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_70648873</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>70648873</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3881-bbc53f6ba1efb409b4c431d898d060deffc41f0d561f22c2d1d448ff66bf75a23</originalsourceid><addsrcrecordid>eNpF0E1PGzEQBmCralUCReIXIF_KbcPY3rW9R0AlgKJy6JfExfIncrLZTe1dIP-ejQjkMnOYR680L0InBKYEgJ6bRZ5WgpFPaEIYrwpKuPyMJgAgCsIoO0CHOS8ACIOKfkUHRDAJFacTNL_AKeYlzrZLHocu4XXyLto-to947VPsxqH7-OSxabrO4T7pNochx67FscXNeEk4D-nRp8039CXoJvvj3T5Cf65__L66Keb3s9uri3lhmZSkMMZWLHCjiQ-mhNqUtmTEyVo64OB8CLYkAVzFSaDUUkdcWcoQODdBVJqyI3T2lrtO3f_B516tYra-aXTruyErAbyUUrARnu7gYFbeqXWKK5026v3_EXzfAZ2tbsL4nI1576Qcg-p6dMWbe46N3-zvoLb9q7F_te1fXd792u69j7n3Lx9ep6XigolK_fs5U5f1_C_UtVAP7BVRQobg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>70648873</pqid></control><display><type>article</type><title>A risk score for predicting perioperative blood transfusion in liver surgery</title><source>Oxford University Press Journals All Titles (1996-Current)</source><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Pulitanò, C. ; Arru, M. ; Bellio, L. ; Rossini, S. ; Ferla, G. ; Aldrighetti, L.</creator><creatorcontrib>Pulitanò, C. ; Arru, M. ; Bellio, L. ; Rossini, S. ; Ferla, G. ; Aldrighetti, L.</creatorcontrib><description>Background:
It would be desirable to predict which patients are most likely to benefit from preoperative autologous blood donation. This aim of this study was to develop a point scoring system for predicting the need for blood transfusion in liver surgery.
Methods:
The medical records of 480 consecutive patients who underwent hepatic resection were analysed. The data set was split randomly into a derivation set of two‐thirds and a validation set of one‐third. Univariable analysis was carried out to determine the association between clinicopathological factors and blood transfusion. Significant variables were entered into a multiple logistic regression model, and a transfusion risk score (TRS) was developed. The accuracy of the system was validated by calculating the area under the receiver–operator characteristic (ROC) curve.
Results:
Factors associated with blood transfusion in multivariable analysis included preoperative haemoglobin concentration below 12·5 g/dl, largest tumour more than 4 cm, need for exposure of the vena cava, need for an associated procedure, and cirrhosis. Each variable was assigned one point, and the total score was compared with the transfusion status of each patient in the validation set. The TRS accurately predicted the likelihood of blood transfusion. In the validation set the area under the ROC curve was 0·89.
Conclusion:
Use of the TRS could lead to substantial saving by improving the cost‐effectiveness of the autologous blood donation programme. Copyright © 2007 British Journal of Surgery Society Ltd. Published by John Wiley & Sons, Ltd.
Useful when preoperative autologous blood donation is considered</description><identifier>ISSN: 0007-1323</identifier><identifier>EISSN: 1365-2168</identifier><identifier>DOI: 10.1002/bjs.5731</identifier><identifier>PMID: 17380562</identifier><identifier>CODEN: BJSUAM</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Aged ; Biological and medical sciences ; Blood Transfusion, Autologous - economics ; Blood Transfusion, Autologous - statistics & numerical data ; Cohort Studies ; Cost-Benefit Analysis ; Elective Surgical Procedures ; Female ; General aspects ; Humans ; Liver Diseases - economics ; Liver Diseases - surgery ; Male ; Medical sciences ; Preoperative Care - economics ; Preoperative Care - methods ; Risk Assessment - methods ; Risk Factors ; ROC Curve</subject><ispartof>British journal of surgery, 2007-07, Vol.94 (7), p.860-865</ispartof><rights>Copyright © 2007 British Journal of Surgery Society Ltd. Published by John Wiley & Sons, Ltd.</rights><rights>2007 INIST-CNRS</rights><rights>Copyright (c) 2007 British Journal of Surgery Society Ltd. Published by John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3881-bbc53f6ba1efb409b4c431d898d060deffc41f0d561f22c2d1d448ff66bf75a23</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fbjs.5731$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fbjs.5731$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18848899$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17380562$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pulitanò, C.</creatorcontrib><creatorcontrib>Arru, M.</creatorcontrib><creatorcontrib>Bellio, L.</creatorcontrib><creatorcontrib>Rossini, S.</creatorcontrib><creatorcontrib>Ferla, G.</creatorcontrib><creatorcontrib>Aldrighetti, L.</creatorcontrib><title>A risk score for predicting perioperative blood transfusion in liver surgery</title><title>British journal of surgery</title><addtitle>Br J Surg</addtitle><description>Background:
It would be desirable to predict which patients are most likely to benefit from preoperative autologous blood donation. This aim of this study was to develop a point scoring system for predicting the need for blood transfusion in liver surgery.
Methods:
The medical records of 480 consecutive patients who underwent hepatic resection were analysed. The data set was split randomly into a derivation set of two‐thirds and a validation set of one‐third. Univariable analysis was carried out to determine the association between clinicopathological factors and blood transfusion. Significant variables were entered into a multiple logistic regression model, and a transfusion risk score (TRS) was developed. The accuracy of the system was validated by calculating the area under the receiver–operator characteristic (ROC) curve.
Results:
Factors associated with blood transfusion in multivariable analysis included preoperative haemoglobin concentration below 12·5 g/dl, largest tumour more than 4 cm, need for exposure of the vena cava, need for an associated procedure, and cirrhosis. Each variable was assigned one point, and the total score was compared with the transfusion status of each patient in the validation set. The TRS accurately predicted the likelihood of blood transfusion. In the validation set the area under the ROC curve was 0·89.
Conclusion:
Use of the TRS could lead to substantial saving by improving the cost‐effectiveness of the autologous blood donation programme. Copyright © 2007 British Journal of Surgery Society Ltd. Published by John Wiley & Sons, Ltd.
Useful when preoperative autologous blood donation is considered</description><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Blood Transfusion, Autologous - economics</subject><subject>Blood Transfusion, Autologous - statistics & numerical data</subject><subject>Cohort Studies</subject><subject>Cost-Benefit Analysis</subject><subject>Elective Surgical Procedures</subject><subject>Female</subject><subject>General aspects</subject><subject>Humans</subject><subject>Liver Diseases - economics</subject><subject>Liver Diseases - surgery</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Preoperative Care - economics</subject><subject>Preoperative Care - methods</subject><subject>Risk Assessment - methods</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><issn>0007-1323</issn><issn>1365-2168</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpF0E1PGzEQBmCralUCReIXIF_KbcPY3rW9R0AlgKJy6JfExfIncrLZTe1dIP-ejQjkMnOYR680L0InBKYEgJ6bRZ5WgpFPaEIYrwpKuPyMJgAgCsIoO0CHOS8ACIOKfkUHRDAJFacTNL_AKeYlzrZLHocu4XXyLto-to947VPsxqH7-OSxabrO4T7pNochx67FscXNeEk4D-nRp8039CXoJvvj3T5Cf65__L66Keb3s9uri3lhmZSkMMZWLHCjiQ-mhNqUtmTEyVo64OB8CLYkAVzFSaDUUkdcWcoQODdBVJqyI3T2lrtO3f_B516tYra-aXTruyErAbyUUrARnu7gYFbeqXWKK5026v3_EXzfAZ2tbsL4nI1576Qcg-p6dMWbe46N3-zvoLb9q7F_te1fXd792u69j7n3Lx9ep6XigolK_fs5U5f1_C_UtVAP7BVRQobg</recordid><startdate>200707</startdate><enddate>200707</enddate><creator>Pulitanò, C.</creator><creator>Arru, M.</creator><creator>Bellio, L.</creator><creator>Rossini, S.</creator><creator>Ferla, G.</creator><creator>Aldrighetti, L.</creator><general>John Wiley & Sons, Ltd</general><general>Wiley</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>200707</creationdate><title>A risk score for predicting perioperative blood transfusion in liver surgery</title><author>Pulitanò, C. ; Arru, M. ; Bellio, L. ; Rossini, S. ; Ferla, G. ; Aldrighetti, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3881-bbc53f6ba1efb409b4c431d898d060deffc41f0d561f22c2d1d448ff66bf75a23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Blood Transfusion, Autologous - economics</topic><topic>Blood Transfusion, Autologous - statistics & numerical data</topic><topic>Cohort Studies</topic><topic>Cost-Benefit Analysis</topic><topic>Elective Surgical Procedures</topic><topic>Female</topic><topic>General aspects</topic><topic>Humans</topic><topic>Liver Diseases - economics</topic><topic>Liver Diseases - surgery</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Preoperative Care - economics</topic><topic>Preoperative Care - methods</topic><topic>Risk Assessment - methods</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pulitanò, C.</creatorcontrib><creatorcontrib>Arru, M.</creatorcontrib><creatorcontrib>Bellio, L.</creatorcontrib><creatorcontrib>Rossini, S.</creatorcontrib><creatorcontrib>Ferla, G.</creatorcontrib><creatorcontrib>Aldrighetti, L.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>British journal of surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pulitanò, C.</au><au>Arru, M.</au><au>Bellio, L.</au><au>Rossini, S.</au><au>Ferla, G.</au><au>Aldrighetti, L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A risk score for predicting perioperative blood transfusion in liver surgery</atitle><jtitle>British journal of surgery</jtitle><addtitle>Br J Surg</addtitle><date>2007-07</date><risdate>2007</risdate><volume>94</volume><issue>7</issue><spage>860</spage><epage>865</epage><pages>860-865</pages><issn>0007-1323</issn><eissn>1365-2168</eissn><coden>BJSUAM</coden><abstract>Background:
It would be desirable to predict which patients are most likely to benefit from preoperative autologous blood donation. This aim of this study was to develop a point scoring system for predicting the need for blood transfusion in liver surgery.
Methods:
The medical records of 480 consecutive patients who underwent hepatic resection were analysed. The data set was split randomly into a derivation set of two‐thirds and a validation set of one‐third. Univariable analysis was carried out to determine the association between clinicopathological factors and blood transfusion. Significant variables were entered into a multiple logistic regression model, and a transfusion risk score (TRS) was developed. The accuracy of the system was validated by calculating the area under the receiver–operator characteristic (ROC) curve.
Results:
Factors associated with blood transfusion in multivariable analysis included preoperative haemoglobin concentration below 12·5 g/dl, largest tumour more than 4 cm, need for exposure of the vena cava, need for an associated procedure, and cirrhosis. Each variable was assigned one point, and the total score was compared with the transfusion status of each patient in the validation set. The TRS accurately predicted the likelihood of blood transfusion. In the validation set the area under the ROC curve was 0·89.
Conclusion:
Use of the TRS could lead to substantial saving by improving the cost‐effectiveness of the autologous blood donation programme. Copyright © 2007 British Journal of Surgery Society Ltd. Published by John Wiley & Sons, Ltd.
Useful when preoperative autologous blood donation is considered</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><pmid>17380562</pmid><doi>10.1002/bjs.5731</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | British journal of surgery, 2007-07, Vol.94 (7), p.860-865 |
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| source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Aged Biological and medical sciences Blood Transfusion, Autologous - economics Blood Transfusion, Autologous - statistics & numerical data Cohort Studies Cost-Benefit Analysis Elective Surgical Procedures Female General aspects Humans Liver Diseases - economics Liver Diseases - surgery Male Medical sciences Preoperative Care - economics Preoperative Care - methods Risk Assessment - methods Risk Factors ROC Curve |
| title | A risk score for predicting perioperative blood transfusion in liver surgery |
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