Incidence, Risk Factors, and Nomogram of Transfusion and Associated Complications in Nonfracture Patients following Total Hip Arthroplasty
The incidence, risk factors, and associated complications of perioperative transfusion in nonfracture patients following total hip arthroplasty (THA) are unclear. The aim of the present research was to study the predictors of transfusion risk in nonfracture patients following THA and develop a nomog...
Gespeichert in:
Veröffentlicht in: | BioMed research international 2020, Vol.2020 (2020), p.1-11 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 11 |
---|---|
container_issue | 2020 |
container_start_page | 1 |
container_title | BioMed research international |
container_volume | 2020 |
creator | Li, Jianyi Chen, Bo Hu, Chuan Wang, Cui Wang, Yuanhe Xi, Yongming |
description | The incidence, risk factors, and associated complications of perioperative transfusion in nonfracture patients following total hip arthroplasty (THA) are unclear. The aim of the present research was to study the predictors of transfusion risk in nonfracture patients following THA and develop a nomogram. One thousand six hundred and thirty-five patients who underwent THA due to nonfracture disease in our institution between September 2013 and July 2017 were included. Independent predictors of transfusion were identified by univariate, LASSO, and multivariate analyses. A nomogram was established based on independent predictors. In addition, a prospective cohort was used to validate the nomogram. The area under the receiver operating characteristic curve was utilized to evaluate the discrimination of the nomogram. Calibration and decision curve analyses were established to evaluate the nomogram. In addition, the association between perioperative transfusion and 30- and 90-day complications was studied. The incidence of transfusion was 15.78%, and 10 independent predictors were confirmed. The areas under the curve of the nomogram were 0.834 and 0.867 in the training and validation cohorts, respectively. Moreover, the area under the curve of the nomogram was significantly higher than that of any single predictor in both the training and validation cohorts. Calibration curve and decision curve analyses in both the training and validation cohorts showed good performance of the nomogram. In addition, perioperative transfusion was identified as an independent risk factor for both 30- and 90-day complications. Generally, ten transfusion-related factors for nonfracture patients following THA were identified. A validated nomogram was established, and several adverse events were confirmed to be associated with transfusion. |
doi_str_mv | 10.1155/2020/2928945 |
format | Article |
fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7584933</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A697139930</galeid><sourcerecordid>A697139930</sourcerecordid><originalsourceid>FETCH-LOGICAL-c499t-4f8d486c27db630f86b03295265139be60a89f02734adf859c0a86c0d10a26c73</originalsourceid><addsrcrecordid>eNqNkk1vEzEQhlcIRKu2N87IEhckktZf67UvSFHU0koVIBTOluO1Exevvdi7VP0L_dV4SUiBE77Ymnn8zryaqapXCJ4jVNcXGGJ4gQXmgtbPqmNMEJ0zRNHzw5uQo-os5ztYDkcMCvayOiIEYVKz5rh6vAnatSZoMwNfXP4GrpQeYsozoEILPsYubpLqQLRglVTIdswuhl-5Rc5ROzWYFixj13un1VByGbhQ_gWbitCYDPhcwiYMGdjofbx3YQNWcVAeXLseLNKwTbH3Kg8Pp9ULq3w2Z_v7pPp6dblaXs9vP324WS5u55oKMcyp5S3lTOOmXTMCLWdrSLCoMasREWvDoOLCQtwQqlrLa6FLgGnYIqgw0w05qd7vdPtx3ZlWl-aS8rJPrlPpQUbl5N-Z4LZyE3_IpuZUEFIE3u4FUvw-mjzIzmVtvFfBxDFLTGtGUZnCVOvNP-hdHFMo9iaKIsYbRp-ojfJGumBjqasnUblgoim2BIGFmu0onWLOydhDywjKaRvktA1yvw0Ff_2nzQP8e_YFeLcDti606t79p5wpjLHqiUYEc4zJT_gZxmo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2454168764</pqid></control><display><type>article</type><title>Incidence, Risk Factors, and Nomogram of Transfusion and Associated Complications in Nonfracture Patients following Total Hip Arthroplasty</title><source>MEDLINE</source><source>PubMed Central Open Access</source><source>Wiley Online Library (Open Access Collection)</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Li, Jianyi ; Chen, Bo ; Hu, Chuan ; Wang, Cui ; Wang, Yuanhe ; Xi, Yongming</creator><contributor>Zhang, Haining ; Haining Zhang</contributor><creatorcontrib>Li, Jianyi ; Chen, Bo ; Hu, Chuan ; Wang, Cui ; Wang, Yuanhe ; Xi, Yongming ; Zhang, Haining ; Haining Zhang</creatorcontrib><description>The incidence, risk factors, and associated complications of perioperative transfusion in nonfracture patients following total hip arthroplasty (THA) are unclear. The aim of the present research was to study the predictors of transfusion risk in nonfracture patients following THA and develop a nomogram. One thousand six hundred and thirty-five patients who underwent THA due to nonfracture disease in our institution between September 2013 and July 2017 were included. Independent predictors of transfusion were identified by univariate, LASSO, and multivariate analyses. A nomogram was established based on independent predictors. In addition, a prospective cohort was used to validate the nomogram. The area under the receiver operating characteristic curve was utilized to evaluate the discrimination of the nomogram. Calibration and decision curve analyses were established to evaluate the nomogram. In addition, the association between perioperative transfusion and 30- and 90-day complications was studied. The incidence of transfusion was 15.78%, and 10 independent predictors were confirmed. The areas under the curve of the nomogram were 0.834 and 0.867 in the training and validation cohorts, respectively. Moreover, the area under the curve of the nomogram was significantly higher than that of any single predictor in both the training and validation cohorts. Calibration curve and decision curve analyses in both the training and validation cohorts showed good performance of the nomogram. In addition, perioperative transfusion was identified as an independent risk factor for both 30- and 90-day complications. Generally, ten transfusion-related factors for nonfracture patients following THA were identified. A validated nomogram was established, and several adverse events were confirmed to be associated with transfusion.</description><identifier>ISSN: 2314-6133</identifier><identifier>EISSN: 2314-6141</identifier><identifier>DOI: 10.1155/2020/2928945</identifier><identifier>PMID: 33123567</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Age ; Alcoholism ; Arthroplasty, Replacement, Hip - adverse effects ; Biomedical materials ; Blood groups ; Blood transfusion ; Blood Transfusion - methods ; Blood transfusions ; Body mass index ; Calibration ; Cardiac arrhythmia ; Cardiovascular disease ; Comorbidity ; Complications ; Decision analysis ; Diabetes ; Disease prevention ; Female ; Fractures ; Health aspects ; Hemoglobin ; Hospital costs ; Humans ; Hypertension ; Incidence ; Infections ; Joint replacement surgery ; Joint surgery ; Male ; Measurement ; Methods ; Middle Aged ; Multivariate Analysis ; Nomograms ; Nomography (Mathematics) ; Osteoarthritis ; Prospective Studies ; Rheumatoid arthritis ; Risk analysis ; Risk Factors ; ROC Curve ; Surgical implants ; Total hip arthroplasty ; Training ; Transfusion ; Variables</subject><ispartof>BioMed research international, 2020, Vol.2020 (2020), p.1-11</ispartof><rights>Copyright © 2020 Yuanhe Wang et al.</rights><rights>COPYRIGHT 2020 John Wiley & Sons, Inc.</rights><rights>Copyright © 2020 Yuanhe Wang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2020 Yuanhe Wang et al. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-4f8d486c27db630f86b03295265139be60a89f02734adf859c0a86c0d10a26c73</citedby><cites>FETCH-LOGICAL-c499t-4f8d486c27db630f86b03295265139be60a89f02734adf859c0a86c0d10a26c73</cites><orcidid>0000-0002-1322-6282 ; 0000-0003-2014-5701 ; 0000-0002-4887-4079 ; 0000-0002-3520-2281 ; 0000-0002-2921-0699 ; 0000-0002-5490-3980</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584933/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584933/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,4024,27923,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33123567$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zhang, Haining</contributor><contributor>Haining Zhang</contributor><creatorcontrib>Li, Jianyi</creatorcontrib><creatorcontrib>Chen, Bo</creatorcontrib><creatorcontrib>Hu, Chuan</creatorcontrib><creatorcontrib>Wang, Cui</creatorcontrib><creatorcontrib>Wang, Yuanhe</creatorcontrib><creatorcontrib>Xi, Yongming</creatorcontrib><title>Incidence, Risk Factors, and Nomogram of Transfusion and Associated Complications in Nonfracture Patients following Total Hip Arthroplasty</title><title>BioMed research international</title><addtitle>Biomed Res Int</addtitle><description>The incidence, risk factors, and associated complications of perioperative transfusion in nonfracture patients following total hip arthroplasty (THA) are unclear. The aim of the present research was to study the predictors of transfusion risk in nonfracture patients following THA and develop a nomogram. One thousand six hundred and thirty-five patients who underwent THA due to nonfracture disease in our institution between September 2013 and July 2017 were included. Independent predictors of transfusion were identified by univariate, LASSO, and multivariate analyses. A nomogram was established based on independent predictors. In addition, a prospective cohort was used to validate the nomogram. The area under the receiver operating characteristic curve was utilized to evaluate the discrimination of the nomogram. Calibration and decision curve analyses were established to evaluate the nomogram. In addition, the association between perioperative transfusion and 30- and 90-day complications was studied. The incidence of transfusion was 15.78%, and 10 independent predictors were confirmed. The areas under the curve of the nomogram were 0.834 and 0.867 in the training and validation cohorts, respectively. Moreover, the area under the curve of the nomogram was significantly higher than that of any single predictor in both the training and validation cohorts. Calibration curve and decision curve analyses in both the training and validation cohorts showed good performance of the nomogram. In addition, perioperative transfusion was identified as an independent risk factor for both 30- and 90-day complications. Generally, ten transfusion-related factors for nonfracture patients following THA were identified. A validated nomogram was established, and several adverse events were confirmed to be associated with transfusion.</description><subject>Age</subject><subject>Alcoholism</subject><subject>Arthroplasty, Replacement, Hip - adverse effects</subject><subject>Biomedical materials</subject><subject>Blood groups</subject><subject>Blood transfusion</subject><subject>Blood Transfusion - methods</subject><subject>Blood transfusions</subject><subject>Body mass index</subject><subject>Calibration</subject><subject>Cardiac arrhythmia</subject><subject>Cardiovascular disease</subject><subject>Comorbidity</subject><subject>Complications</subject><subject>Decision analysis</subject><subject>Diabetes</subject><subject>Disease prevention</subject><subject>Female</subject><subject>Fractures</subject><subject>Health aspects</subject><subject>Hemoglobin</subject><subject>Hospital costs</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Incidence</subject><subject>Infections</subject><subject>Joint replacement surgery</subject><subject>Joint surgery</subject><subject>Male</subject><subject>Measurement</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Nomograms</subject><subject>Nomography (Mathematics)</subject><subject>Osteoarthritis</subject><subject>Prospective Studies</subject><subject>Rheumatoid arthritis</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Surgical implants</subject><subject>Total hip arthroplasty</subject><subject>Training</subject><subject>Transfusion</subject><subject>Variables</subject><issn>2314-6133</issn><issn>2314-6141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkk1vEzEQhlcIRKu2N87IEhckktZf67UvSFHU0koVIBTOluO1Exevvdi7VP0L_dV4SUiBE77Ymnn8zryaqapXCJ4jVNcXGGJ4gQXmgtbPqmNMEJ0zRNHzw5uQo-os5ztYDkcMCvayOiIEYVKz5rh6vAnatSZoMwNfXP4GrpQeYsozoEILPsYubpLqQLRglVTIdswuhl-5Rc5ROzWYFixj13un1VByGbhQ_gWbitCYDPhcwiYMGdjofbx3YQNWcVAeXLseLNKwTbH3Kg8Pp9ULq3w2Z_v7pPp6dblaXs9vP324WS5u55oKMcyp5S3lTOOmXTMCLWdrSLCoMasREWvDoOLCQtwQqlrLa6FLgGnYIqgw0w05qd7vdPtx3ZlWl-aS8rJPrlPpQUbl5N-Z4LZyE3_IpuZUEFIE3u4FUvw-mjzIzmVtvFfBxDFLTGtGUZnCVOvNP-hdHFMo9iaKIsYbRp-ojfJGumBjqasnUblgoim2BIGFmu0onWLOydhDywjKaRvktA1yvw0Ff_2nzQP8e_YFeLcDti606t79p5wpjLHqiUYEc4zJT_gZxmo</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Li, Jianyi</creator><creator>Chen, Bo</creator><creator>Hu, Chuan</creator><creator>Wang, Cui</creator><creator>Wang, Yuanhe</creator><creator>Xi, Yongming</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><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>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1322-6282</orcidid><orcidid>https://orcid.org/0000-0003-2014-5701</orcidid><orcidid>https://orcid.org/0000-0002-4887-4079</orcidid><orcidid>https://orcid.org/0000-0002-3520-2281</orcidid><orcidid>https://orcid.org/0000-0002-2921-0699</orcidid><orcidid>https://orcid.org/0000-0002-5490-3980</orcidid></search><sort><creationdate>2020</creationdate><title>Incidence, Risk Factors, and Nomogram of Transfusion and Associated Complications in Nonfracture Patients following Total Hip Arthroplasty</title><author>Li, Jianyi ; Chen, Bo ; Hu, Chuan ; Wang, Cui ; Wang, Yuanhe ; Xi, Yongming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c499t-4f8d486c27db630f86b03295265139be60a89f02734adf859c0a86c0d10a26c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age</topic><topic>Alcoholism</topic><topic>Arthroplasty, Replacement, Hip - adverse effects</topic><topic>Biomedical materials</topic><topic>Blood groups</topic><topic>Blood transfusion</topic><topic>Blood Transfusion - methods</topic><topic>Blood transfusions</topic><topic>Body mass index</topic><topic>Calibration</topic><topic>Cardiac arrhythmia</topic><topic>Cardiovascular disease</topic><topic>Comorbidity</topic><topic>Complications</topic><topic>Decision analysis</topic><topic>Diabetes</topic><topic>Disease prevention</topic><topic>Female</topic><topic>Fractures</topic><topic>Health aspects</topic><topic>Hemoglobin</topic><topic>Hospital costs</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Incidence</topic><topic>Infections</topic><topic>Joint replacement surgery</topic><topic>Joint surgery</topic><topic>Male</topic><topic>Measurement</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Nomograms</topic><topic>Nomography (Mathematics)</topic><topic>Osteoarthritis</topic><topic>Prospective Studies</topic><topic>Rheumatoid arthritis</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Surgical implants</topic><topic>Total hip arthroplasty</topic><topic>Training</topic><topic>Transfusion</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Jianyi</creatorcontrib><creatorcontrib>Chen, Bo</creatorcontrib><creatorcontrib>Hu, Chuan</creatorcontrib><creatorcontrib>Wang, Cui</creatorcontrib><creatorcontrib>Wang, Yuanhe</creatorcontrib><creatorcontrib>Xi, Yongming</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BioMed research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Jianyi</au><au>Chen, Bo</au><au>Hu, Chuan</au><au>Wang, Cui</au><au>Wang, Yuanhe</au><au>Xi, Yongming</au><au>Zhang, Haining</au><au>Haining Zhang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Incidence, Risk Factors, and Nomogram of Transfusion and Associated Complications in Nonfracture Patients following Total Hip Arthroplasty</atitle><jtitle>BioMed research international</jtitle><addtitle>Biomed Res Int</addtitle><date>2020</date><risdate>2020</risdate><volume>2020</volume><issue>2020</issue><spage>1</spage><epage>11</epage><pages>1-11</pages><issn>2314-6133</issn><eissn>2314-6141</eissn><abstract>The incidence, risk factors, and associated complications of perioperative transfusion in nonfracture patients following total hip arthroplasty (THA) are unclear. The aim of the present research was to study the predictors of transfusion risk in nonfracture patients following THA and develop a nomogram. One thousand six hundred and thirty-five patients who underwent THA due to nonfracture disease in our institution between September 2013 and July 2017 were included. Independent predictors of transfusion were identified by univariate, LASSO, and multivariate analyses. A nomogram was established based on independent predictors. In addition, a prospective cohort was used to validate the nomogram. The area under the receiver operating characteristic curve was utilized to evaluate the discrimination of the nomogram. Calibration and decision curve analyses were established to evaluate the nomogram. In addition, the association between perioperative transfusion and 30- and 90-day complications was studied. The incidence of transfusion was 15.78%, and 10 independent predictors were confirmed. The areas under the curve of the nomogram were 0.834 and 0.867 in the training and validation cohorts, respectively. Moreover, the area under the curve of the nomogram was significantly higher than that of any single predictor in both the training and validation cohorts. Calibration curve and decision curve analyses in both the training and validation cohorts showed good performance of the nomogram. In addition, perioperative transfusion was identified as an independent risk factor for both 30- and 90-day complications. Generally, ten transfusion-related factors for nonfracture patients following THA were identified. A validated nomogram was established, and several adverse events were confirmed to be associated with transfusion.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>33123567</pmid><doi>10.1155/2020/2928945</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-1322-6282</orcidid><orcidid>https://orcid.org/0000-0003-2014-5701</orcidid><orcidid>https://orcid.org/0000-0002-4887-4079</orcidid><orcidid>https://orcid.org/0000-0002-3520-2281</orcidid><orcidid>https://orcid.org/0000-0002-2921-0699</orcidid><orcidid>https://orcid.org/0000-0002-5490-3980</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2314-6133 |
ispartof | BioMed research international, 2020, Vol.2020 (2020), p.1-11 |
issn | 2314-6133 2314-6141 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7584933 |
source | MEDLINE; PubMed Central Open Access; Wiley Online Library (Open Access Collection); PubMed Central; Alma/SFX Local Collection |
subjects | Age Alcoholism Arthroplasty, Replacement, Hip - adverse effects Biomedical materials Blood groups Blood transfusion Blood Transfusion - methods Blood transfusions Body mass index Calibration Cardiac arrhythmia Cardiovascular disease Comorbidity Complications Decision analysis Diabetes Disease prevention Female Fractures Health aspects Hemoglobin Hospital costs Humans Hypertension Incidence Infections Joint replacement surgery Joint surgery Male Measurement Methods Middle Aged Multivariate Analysis Nomograms Nomography (Mathematics) Osteoarthritis Prospective Studies Rheumatoid arthritis Risk analysis Risk Factors ROC Curve Surgical implants Total hip arthroplasty Training Transfusion Variables |
title | Incidence, Risk Factors, and Nomogram of Transfusion and Associated Complications in Nonfracture Patients following Total Hip Arthroplasty |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T11%3A06%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Incidence,%20Risk%20Factors,%20and%20Nomogram%20of%20Transfusion%20and%20Associated%20Complications%20in%20Nonfracture%20Patients%20following%20Total%20Hip%20Arthroplasty&rft.jtitle=BioMed%20research%20international&rft.au=Li,%20Jianyi&rft.date=2020&rft.volume=2020&rft.issue=2020&rft.spage=1&rft.epage=11&rft.pages=1-11&rft.issn=2314-6133&rft.eissn=2314-6141&rft_id=info:doi/10.1155/2020/2928945&rft_dat=%3Cgale_pubme%3EA697139930%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2454168764&rft_id=info:pmid/33123567&rft_galeid=A697139930&rfr_iscdi=true |