A computerized scoring system to improve assessment of heparin‐induced thrombocytopenia risk
Essentials Current risk scores for heparin‐induced thrombocytopenia (HIT) are not computer‐friendly. We compared a new computerized risk score with the 4Ts score in a large healthcare system. The computerized risk score agrees with the 4Ts score 85% of the time. The new score could potentially impro...
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Veröffentlicht in: | Journal of thrombosis and haemostasis 2019-02, Vol.17 (2), p.383-388 |
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creator | Gallo, T. Curry, S. C. Padilla‐Jones, A. Heise, C. W. Ramos, K. S. Woosley, R. L. Raschke, R. A. |
description | Essentials
Current risk scores for heparin‐induced thrombocytopenia (HIT) are not computer‐friendly.
We compared a new computerized risk score with the 4Ts score in a large healthcare system.
The computerized risk score agrees with the 4Ts score 85% of the time.
The new score could potentially improve HIT diagnosis via incorporation into decision support.
Summary
Background
(HIT) is an immune‐mediated adverse drug event associated with life‐threatening thrombotic complications. The 4Ts score is widely used to estimate the risk for HIT and guide diagnostic testing, but it is not easily amenable to computerized clinical decision support (CDS) implementation.
Objectives
Our main objective was to develop an HIT computerized risk (HIT‐CR) scoring system that provides platelet count surveillance for timing and degree of thrombocytopenia to identify those for whom diagnostic testing should be considered. Our secondary objective was to evaluate clinical management and subsequent outcomes in those identified as being at risk for HIT.
Methods
We retrospectively analyzed data from a stratified sample of 150 inpatients treated with heparin to compare the performance of the HIT‐CR scoring system with that of a clinically calculated 4Ts score. We took a 4Ts score of ≥ 4 as the gold standard to determine whether HIT diagnostic testing should be performed.
Results
The best cutoff point of the HIT‐CR score was a score of 3, which yielded 85% raw agreement with the 4Ts score and a kappa of 0.69 (95% confidence interval 0.57–0.81). Ninety per cent of patients with 4Ts score of ≥ 4 failed to undergo conventionally recommended diagnostic testing; 38% of these experienced persistent, unexplained thrombocytopenia, and 4% suffered life‐threatening thrombotic complications suggestive of undiagnosed HIT.
Conclusion
The HIT‐CR scoring system is practical for computerized CDS, agrees well with the 4Ts score, and should be prospectively evaluated for its ability to identify patients who should be tested for HIT. |
doi_str_mv | 10.1111/jth.14359 |
format | Article |
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Current risk scores for heparin‐induced thrombocytopenia (HIT) are not computer‐friendly.
We compared a new computerized risk score with the 4Ts score in a large healthcare system.
The computerized risk score agrees with the 4Ts score 85% of the time.
The new score could potentially improve HIT diagnosis via incorporation into decision support.
Summary
Background
(HIT) is an immune‐mediated adverse drug event associated with life‐threatening thrombotic complications. The 4Ts score is widely used to estimate the risk for HIT and guide diagnostic testing, but it is not easily amenable to computerized clinical decision support (CDS) implementation.
Objectives
Our main objective was to develop an HIT computerized risk (HIT‐CR) scoring system that provides platelet count surveillance for timing and degree of thrombocytopenia to identify those for whom diagnostic testing should be considered. Our secondary objective was to evaluate clinical management and subsequent outcomes in those identified as being at risk for HIT.
Methods
We retrospectively analyzed data from a stratified sample of 150 inpatients treated with heparin to compare the performance of the HIT‐CR scoring system with that of a clinically calculated 4Ts score. We took a 4Ts score of ≥ 4 as the gold standard to determine whether HIT diagnostic testing should be performed.
Results
The best cutoff point of the HIT‐CR score was a score of 3, which yielded 85% raw agreement with the 4Ts score and a kappa of 0.69 (95% confidence interval 0.57–0.81). Ninety per cent of patients with 4Ts score of ≥ 4 failed to undergo conventionally recommended diagnostic testing; 38% of these experienced persistent, unexplained thrombocytopenia, and 4% suffered life‐threatening thrombotic complications suggestive of undiagnosed HIT.
Conclusion
The HIT‐CR scoring system is practical for computerized CDS, agrees well with the 4Ts score, and should be prospectively evaluated for its ability to identify patients who should be tested for HIT.</description><identifier>ISSN: 1538-7933</identifier><identifier>ISSN: 1538-7836</identifier><identifier>EISSN: 1538-7836</identifier><identifier>DOI: 10.1111/jth.14359</identifier><identifier>PMID: 30552743</identifier><language>eng</language><publisher>England: Elsevier Limited</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Anticoagulants ; Anticoagulants - adverse effects ; Blood Platelets - drug effects ; clinical ; Computer Simulation ; Data processing ; decision support systems ; Decision Support Techniques ; Diagnostic tests ; drug‐related side effects and adverse reactions ; Electronic Health Records ; epidemiology ; Female ; Heparin ; Heparin - adverse effects ; Humans ; Male ; Middle Aged ; Pilot Projects ; Platelet Count ; Predictive Value of Tests ; Quality control ; quality improvement ; Retrospective Studies ; Risk Assessment ; Risk Factors ; Thrombocytopenia ; Thrombocytopenia - blood ; Thrombocytopenia - chemically induced ; Thrombocytopenia - diagnosis ; Young Adult</subject><ispartof>Journal of thrombosis and haemostasis, 2019-02, Vol.17 (2), p.383-388</ispartof><rights>2018 International Society on Thrombosis and Haemostasis</rights><rights>2018 International Society on Thrombosis and Haemostasis.</rights><rights>Copyright © 2019 International Society on Thrombosis and Haemostasis</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3889-7751f1483a8a6c6f24120fb18be805248054f2bdfb6ca409b5784a5d32504be03</citedby><cites>FETCH-LOGICAL-c3889-7751f1483a8a6c6f24120fb18be805248054f2bdfb6ca409b5784a5d32504be03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27928,27929</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30552743$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gallo, T.</creatorcontrib><creatorcontrib>Curry, S. C.</creatorcontrib><creatorcontrib>Padilla‐Jones, A.</creatorcontrib><creatorcontrib>Heise, C. W.</creatorcontrib><creatorcontrib>Ramos, K. S.</creatorcontrib><creatorcontrib>Woosley, R. L.</creatorcontrib><creatorcontrib>Raschke, R. A.</creatorcontrib><title>A computerized scoring system to improve assessment of heparin‐induced thrombocytopenia risk</title><title>Journal of thrombosis and haemostasis</title><addtitle>J Thromb Haemost</addtitle><description>Essentials
Current risk scores for heparin‐induced thrombocytopenia (HIT) are not computer‐friendly.
We compared a new computerized risk score with the 4Ts score in a large healthcare system.
The computerized risk score agrees with the 4Ts score 85% of the time.
The new score could potentially improve HIT diagnosis via incorporation into decision support.
Summary
Background
(HIT) is an immune‐mediated adverse drug event associated with life‐threatening thrombotic complications. The 4Ts score is widely used to estimate the risk for HIT and guide diagnostic testing, but it is not easily amenable to computerized clinical decision support (CDS) implementation.
Objectives
Our main objective was to develop an HIT computerized risk (HIT‐CR) scoring system that provides platelet count surveillance for timing and degree of thrombocytopenia to identify those for whom diagnostic testing should be considered. Our secondary objective was to evaluate clinical management and subsequent outcomes in those identified as being at risk for HIT.
Methods
We retrospectively analyzed data from a stratified sample of 150 inpatients treated with heparin to compare the performance of the HIT‐CR scoring system with that of a clinically calculated 4Ts score. We took a 4Ts score of ≥ 4 as the gold standard to determine whether HIT diagnostic testing should be performed.
Results
The best cutoff point of the HIT‐CR score was a score of 3, which yielded 85% raw agreement with the 4Ts score and a kappa of 0.69 (95% confidence interval 0.57–0.81). Ninety per cent of patients with 4Ts score of ≥ 4 failed to undergo conventionally recommended diagnostic testing; 38% of these experienced persistent, unexplained thrombocytopenia, and 4% suffered life‐threatening thrombotic complications suggestive of undiagnosed HIT.
Conclusion
The HIT‐CR scoring system is practical for computerized CDS, agrees well with the 4Ts score, and should be prospectively evaluated for its ability to identify patients who should be tested for HIT.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Anticoagulants</subject><subject>Anticoagulants - adverse effects</subject><subject>Blood Platelets - drug effects</subject><subject>clinical</subject><subject>Computer Simulation</subject><subject>Data processing</subject><subject>decision support systems</subject><subject>Decision Support Techniques</subject><subject>Diagnostic tests</subject><subject>drug‐related side effects and adverse reactions</subject><subject>Electronic Health Records</subject><subject>epidemiology</subject><subject>Female</subject><subject>Heparin</subject><subject>Heparin - adverse effects</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Pilot Projects</subject><subject>Platelet Count</subject><subject>Predictive Value of Tests</subject><subject>Quality control</subject><subject>quality improvement</subject><subject>Retrospective Studies</subject><subject>Risk Assessment</subject><subject>Risk Factors</subject><subject>Thrombocytopenia</subject><subject>Thrombocytopenia - blood</subject><subject>Thrombocytopenia - chemically induced</subject><subject>Thrombocytopenia - diagnosis</subject><subject>Young Adult</subject><issn>1538-7933</issn><issn>1538-7836</issn><issn>1538-7836</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kL9OwzAQhy0EoqUw8ALIEhNDWv9tnLGqgIIqscCKZScOTWniYCegMPEIPCNPgiEtGx7ON3z33ekHwClGYxzeZN2sxphRnuyBIeZURLGg0_1dn1A6AEferxHCCSfoEAwo4pzEjA7B4wymtqzbxrji3WTQp9YV1RP0nW9MCRsLi7J29tVA5b3xvjRVA20OV6ZWAfz6-CyqrE3DZLNyttQ27Rpbm6pQ0BX--Rgc5Grjzcn2H4GHq8v7-SJa3l3fzGfLKKVCJFEcc5xjJqgSappOc8IwQbnGQhuBOGGhsJzoLNfTVDGUaB4LpnhGCUdMG0RH4Lz3hltfWuMbubatq8JKSXCwkwSTJFAXPZU6670zuaxdUSrXSYzkT5IyJCl_kwzs2dbY6tJkf-QuugBMeuCt2Jjuf5O8vV_0ym8Ia37t</recordid><startdate>201902</startdate><enddate>201902</enddate><creator>Gallo, T.</creator><creator>Curry, S. C.</creator><creator>Padilla‐Jones, A.</creator><creator>Heise, C. W.</creator><creator>Ramos, K. S.</creator><creator>Woosley, R. L.</creator><creator>Raschke, R. A.</creator><general>Elsevier Limited</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>7T5</scope><scope>H94</scope><scope>K9.</scope></search><sort><creationdate>201902</creationdate><title>A computerized scoring system to improve assessment of heparin‐induced thrombocytopenia risk</title><author>Gallo, T. ; Curry, S. C. ; Padilla‐Jones, A. ; Heise, C. W. ; Ramos, K. S. ; Woosley, R. L. ; Raschke, R. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3889-7751f1483a8a6c6f24120fb18be805248054f2bdfb6ca409b5784a5d32504be03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Anticoagulants</topic><topic>Anticoagulants - adverse effects</topic><topic>Blood Platelets - drug effects</topic><topic>clinical</topic><topic>Computer Simulation</topic><topic>Data processing</topic><topic>decision support systems</topic><topic>Decision Support Techniques</topic><topic>Diagnostic tests</topic><topic>drug‐related side effects and adverse reactions</topic><topic>Electronic Health Records</topic><topic>epidemiology</topic><topic>Female</topic><topic>Heparin</topic><topic>Heparin - adverse effects</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Pilot Projects</topic><topic>Platelet Count</topic><topic>Predictive Value of Tests</topic><topic>Quality control</topic><topic>quality improvement</topic><topic>Retrospective Studies</topic><topic>Risk Assessment</topic><topic>Risk Factors</topic><topic>Thrombocytopenia</topic><topic>Thrombocytopenia - blood</topic><topic>Thrombocytopenia - chemically induced</topic><topic>Thrombocytopenia - diagnosis</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gallo, T.</creatorcontrib><creatorcontrib>Curry, S. C.</creatorcontrib><creatorcontrib>Padilla‐Jones, A.</creatorcontrib><creatorcontrib>Heise, C. W.</creatorcontrib><creatorcontrib>Ramos, K. S.</creatorcontrib><creatorcontrib>Woosley, R. L.</creatorcontrib><creatorcontrib>Raschke, R. A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><jtitle>Journal of thrombosis and haemostasis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gallo, T.</au><au>Curry, S. C.</au><au>Padilla‐Jones, A.</au><au>Heise, C. W.</au><au>Ramos, K. S.</au><au>Woosley, R. L.</au><au>Raschke, R. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A computerized scoring system to improve assessment of heparin‐induced thrombocytopenia risk</atitle><jtitle>Journal of thrombosis and haemostasis</jtitle><addtitle>J Thromb Haemost</addtitle><date>2019-02</date><risdate>2019</risdate><volume>17</volume><issue>2</issue><spage>383</spage><epage>388</epage><pages>383-388</pages><issn>1538-7933</issn><issn>1538-7836</issn><eissn>1538-7836</eissn><abstract>Essentials
Current risk scores for heparin‐induced thrombocytopenia (HIT) are not computer‐friendly.
We compared a new computerized risk score with the 4Ts score in a large healthcare system.
The computerized risk score agrees with the 4Ts score 85% of the time.
The new score could potentially improve HIT diagnosis via incorporation into decision support.
Summary
Background
(HIT) is an immune‐mediated adverse drug event associated with life‐threatening thrombotic complications. The 4Ts score is widely used to estimate the risk for HIT and guide diagnostic testing, but it is not easily amenable to computerized clinical decision support (CDS) implementation.
Objectives
Our main objective was to develop an HIT computerized risk (HIT‐CR) scoring system that provides platelet count surveillance for timing and degree of thrombocytopenia to identify those for whom diagnostic testing should be considered. Our secondary objective was to evaluate clinical management and subsequent outcomes in those identified as being at risk for HIT.
Methods
We retrospectively analyzed data from a stratified sample of 150 inpatients treated with heparin to compare the performance of the HIT‐CR scoring system with that of a clinically calculated 4Ts score. We took a 4Ts score of ≥ 4 as the gold standard to determine whether HIT diagnostic testing should be performed.
Results
The best cutoff point of the HIT‐CR score was a score of 3, which yielded 85% raw agreement with the 4Ts score and a kappa of 0.69 (95% confidence interval 0.57–0.81). Ninety per cent of patients with 4Ts score of ≥ 4 failed to undergo conventionally recommended diagnostic testing; 38% of these experienced persistent, unexplained thrombocytopenia, and 4% suffered life‐threatening thrombotic complications suggestive of undiagnosed HIT.
Conclusion
The HIT‐CR scoring system is practical for computerized CDS, agrees well with the 4Ts score, and should be prospectively evaluated for its ability to identify patients who should be tested for HIT.</abstract><cop>England</cop><pub>Elsevier Limited</pub><pmid>30552743</pmid><doi>10.1111/jth.14359</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Anticoagulants Anticoagulants - adverse effects Blood Platelets - drug effects clinical Computer Simulation Data processing decision support systems Decision Support Techniques Diagnostic tests drug‐related side effects and adverse reactions Electronic Health Records epidemiology Female Heparin Heparin - adverse effects Humans Male Middle Aged Pilot Projects Platelet Count Predictive Value of Tests Quality control quality improvement Retrospective Studies Risk Assessment Risk Factors Thrombocytopenia Thrombocytopenia - blood Thrombocytopenia - chemically induced Thrombocytopenia - diagnosis Young Adult |
title | A computerized scoring system to improve assessment of heparin‐induced thrombocytopenia risk |
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