Positive predictive value and sensitivity of ICD‐9‐CM codes for identifying pediatric leukemia

Background To facilitate community‐based epidemiologic studies of pediatric leukemia, we validated use of ICD‐9‐CM diagnosis codes to identify pediatric leukemia cases in electronic medical records of six U.S. integrated health plans from 1996–2015 and evaluated the additional contributions of proce...

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Veröffentlicht in:Pediatric blood & cancer 2022-02, Vol.69 (2), p.e29383-n/a
Hauptverfasser: Weinmann, Sheila, Francisco, Melanie C., Kwan, Marilyn L., Bowles, Erin J. A., Rahm, Alanna Kulchak, Greenlee, Robert T., Stout, Natasha K., Pole, Jason D., Kushi, Lawrence H., Smith‐Bindman, Rebecca, Miglioretti, Diana L.
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container_issue 2
container_start_page e29383
container_title Pediatric blood & cancer
container_volume 69
creator Weinmann, Sheila
Francisco, Melanie C.
Kwan, Marilyn L.
Bowles, Erin J. A.
Rahm, Alanna Kulchak
Greenlee, Robert T.
Stout, Natasha K.
Pole, Jason D.
Kushi, Lawrence H.
Smith‐Bindman, Rebecca
Miglioretti, Diana L.
description Background To facilitate community‐based epidemiologic studies of pediatric leukemia, we validated use of ICD‐9‐CM diagnosis codes to identify pediatric leukemia cases in electronic medical records of six U.S. integrated health plans from 1996–2015 and evaluated the additional contributions of procedure codes for diagnosis/treatment. Procedures Subjects (N = 408) were children and adolescents born in the health systems and enrolled for at least 120 days after the date of the first leukemia ICD‐9‐CM code or tumor registry diagnosis. The gold standard was the health system tumor registry and/or medical record review. We calculated positive predictive value (PPV) and sensitivity by number of ICD‐9‐CM codes received in the 120‐day period following and including the first code. We evaluated whether adding chemotherapy and/or bone marrow biopsy/aspiration procedure codes improved PPV and/or sensitivity. Results Requiring receipt of one or more codes resulted in 99% sensitivity (95% confidence interval [CI]: 98–100%) but poor PPV (70%; 95% CI: 66–75%). Receipt of two or more codes improved PPV to 90% (95% CI: 86–93%) with 96% sensitivity (95% CI: 93–98%). Requiring at least four codes maximized PPV (95%; 95% CI: 92–98%) without sacrificing sensitivity (93%; 95% CI: 89–95%). Across health plans, PPV for four codes ranged from 84–100% and sensitivity ranged from 83–95%. Including at least one code for a bone marrow procedure or chemotherapy treatment had minimal impact on PPV or sensitivity. Conclusions The use of diagnosis codes from the electronic health record has high PPV and sensitivity for identifying leukemia in children and adolescents if more than one code is required.
doi_str_mv 10.1002/pbc.29383
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A. ; Rahm, Alanna Kulchak ; Greenlee, Robert T. ; Stout, Natasha K. ; Pole, Jason D. ; Kushi, Lawrence H. ; Smith‐Bindman, Rebecca ; Miglioretti, Diana L.</creator><creatorcontrib>Weinmann, Sheila ; Francisco, Melanie C. ; Kwan, Marilyn L. ; Bowles, Erin J. A. ; Rahm, Alanna Kulchak ; Greenlee, Robert T. ; Stout, Natasha K. ; Pole, Jason D. ; Kushi, Lawrence H. ; Smith‐Bindman, Rebecca ; Miglioretti, Diana L.</creatorcontrib><description>Background To facilitate community‐based epidemiologic studies of pediatric leukemia, we validated use of ICD‐9‐CM diagnosis codes to identify pediatric leukemia cases in electronic medical records of six U.S. integrated health plans from 1996–2015 and evaluated the additional contributions of procedure codes for diagnosis/treatment. Procedures Subjects (N = 408) were children and adolescents born in the health systems and enrolled for at least 120 days after the date of the first leukemia ICD‐9‐CM code or tumor registry diagnosis. The gold standard was the health system tumor registry and/or medical record review. We calculated positive predictive value (PPV) and sensitivity by number of ICD‐9‐CM codes received in the 120‐day period following and including the first code. We evaluated whether adding chemotherapy and/or bone marrow biopsy/aspiration procedure codes improved PPV and/or sensitivity. Results Requiring receipt of one or more codes resulted in 99% sensitivity (95% confidence interval [CI]: 98–100%) but poor PPV (70%; 95% CI: 66–75%). Receipt of two or more codes improved PPV to 90% (95% CI: 86–93%) with 96% sensitivity (95% CI: 93–98%). Requiring at least four codes maximized PPV (95%; 95% CI: 92–98%) without sacrificing sensitivity (93%; 95% CI: 89–95%). Across health plans, PPV for four codes ranged from 84–100% and sensitivity ranged from 83–95%. Including at least one code for a bone marrow procedure or chemotherapy treatment had minimal impact on PPV or sensitivity. Conclusions The use of diagnosis codes from the electronic health record has high PPV and sensitivity for identifying leukemia in children and adolescents if more than one code is required.</description><identifier>ISSN: 1545-5009</identifier><identifier>EISSN: 1545-5017</identifier><identifier>DOI: 10.1002/pbc.29383</identifier><identifier>PMID: 34773439</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Adolescent ; Adolescents ; Algorithms ; Biopsy ; Bone marrow ; Chemotherapy ; Child ; Children ; Codes ; Diagnosis ; diagnosis codes ; Electronic Health Records ; Electronic medical records ; Epidemiology ; Hematology ; Humans ; International Classification of Diseases ; Leukemia ; Medical records ; Oncology ; Pediatrics ; positive predictive value ; Predictive Value of Tests ; sensitivity ; Tumors</subject><ispartof>Pediatric blood &amp; cancer, 2022-02, Vol.69 (2), p.e29383-n/a</ispartof><rights>2021 Wiley Periodicals LLC</rights><rights>2021 Wiley Periodicals LLC.</rights><rights>2022 Wiley Periodicals LLC</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4433-a530d2223831c3d48cc497626f270369a4f96c7cdefdc956e8aa8f75be31fddd3</citedby><cites>FETCH-LOGICAL-c4433-a530d2223831c3d48cc497626f270369a4f96c7cdefdc956e8aa8f75be31fddd3</cites><orcidid>0000-0002-0413-5434 ; 0000-0002-7696-0070 ; 0000-0001-6287-7391</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fpbc.29383$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fpbc.29383$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34773439$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Weinmann, Sheila</creatorcontrib><creatorcontrib>Francisco, Melanie C.</creatorcontrib><creatorcontrib>Kwan, Marilyn L.</creatorcontrib><creatorcontrib>Bowles, Erin J. A.</creatorcontrib><creatorcontrib>Rahm, Alanna Kulchak</creatorcontrib><creatorcontrib>Greenlee, Robert T.</creatorcontrib><creatorcontrib>Stout, Natasha K.</creatorcontrib><creatorcontrib>Pole, Jason D.</creatorcontrib><creatorcontrib>Kushi, Lawrence H.</creatorcontrib><creatorcontrib>Smith‐Bindman, Rebecca</creatorcontrib><creatorcontrib>Miglioretti, Diana L.</creatorcontrib><title>Positive predictive value and sensitivity of ICD‐9‐CM codes for identifying pediatric leukemia</title><title>Pediatric blood &amp; cancer</title><addtitle>Pediatr Blood Cancer</addtitle><description>Background To facilitate community‐based epidemiologic studies of pediatric leukemia, we validated use of ICD‐9‐CM diagnosis codes to identify pediatric leukemia cases in electronic medical records of six U.S. integrated health plans from 1996–2015 and evaluated the additional contributions of procedure codes for diagnosis/treatment. Procedures Subjects (N = 408) were children and adolescents born in the health systems and enrolled for at least 120 days after the date of the first leukemia ICD‐9‐CM code or tumor registry diagnosis. The gold standard was the health system tumor registry and/or medical record review. We calculated positive predictive value (PPV) and sensitivity by number of ICD‐9‐CM codes received in the 120‐day period following and including the first code. We evaluated whether adding chemotherapy and/or bone marrow biopsy/aspiration procedure codes improved PPV and/or sensitivity. Results Requiring receipt of one or more codes resulted in 99% sensitivity (95% confidence interval [CI]: 98–100%) but poor PPV (70%; 95% CI: 66–75%). Receipt of two or more codes improved PPV to 90% (95% CI: 86–93%) with 96% sensitivity (95% CI: 93–98%). Requiring at least four codes maximized PPV (95%; 95% CI: 92–98%) without sacrificing sensitivity (93%; 95% CI: 89–95%). Across health plans, PPV for four codes ranged from 84–100% and sensitivity ranged from 83–95%. Including at least one code for a bone marrow procedure or chemotherapy treatment had minimal impact on PPV or sensitivity. Conclusions The use of diagnosis codes from the electronic health record has high PPV and sensitivity for identifying leukemia in children and adolescents if more than one code is required.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Algorithms</subject><subject>Biopsy</subject><subject>Bone marrow</subject><subject>Chemotherapy</subject><subject>Child</subject><subject>Children</subject><subject>Codes</subject><subject>Diagnosis</subject><subject>diagnosis codes</subject><subject>Electronic Health Records</subject><subject>Electronic medical records</subject><subject>Epidemiology</subject><subject>Hematology</subject><subject>Humans</subject><subject>International Classification of Diseases</subject><subject>Leukemia</subject><subject>Medical records</subject><subject>Oncology</subject><subject>Pediatrics</subject><subject>positive predictive value</subject><subject>Predictive Value of Tests</subject><subject>sensitivity</subject><subject>Tumors</subject><issn>1545-5009</issn><issn>1545-5017</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kU1uFDEQhS0EImFgwQWQJTawmMT_3d4gQfMXKYgsYG157HJw6Gl37O5Bs-MInJGT4MyEESCxKFVJ9enVKz2EHlNyQglhp-PKnTDNW34HHVMp5FIS2tw9zEQfoQelXFVUEdneR0dcNA0XXB-j1UUqcYobwGMGH91u3Nh-BmwHjwsMu3WctjgFfNa9_vn9h67VfcAueSg4pIyjh2GKYRuHSzxWFTvl6HAP81dYR_sQ3Qu2L_Doti_Q57dvPnXvl-cf3511L8-XTgjOl1Zy4hlj9Q3quBetc0I3iqnAGsKVtiJo5RrnIXinpYLW2jY0cgWcBu89X6AXe91xXq3Bu-op296MOa5t3ppko_l7M8Qv5jJtjNact_XGAj27FcjpeoYymXUsDvreDpDmYpjUjdCqUaqiT_9Br9Kch_qeYYq2jEpFbqjne8rlVEqGcDBDiblJztTkzC65yj750_2B_B1VBU73wLfYw_b_SubiVbeX_AV0LqWz</recordid><startdate>202202</startdate><enddate>202202</enddate><creator>Weinmann, Sheila</creator><creator>Francisco, Melanie C.</creator><creator>Kwan, Marilyn L.</creator><creator>Bowles, Erin J. 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A.</creatorcontrib><creatorcontrib>Rahm, Alanna Kulchak</creatorcontrib><creatorcontrib>Greenlee, Robert T.</creatorcontrib><creatorcontrib>Stout, Natasha K.</creatorcontrib><creatorcontrib>Pole, Jason D.</creatorcontrib><creatorcontrib>Kushi, Lawrence H.</creatorcontrib><creatorcontrib>Smith‐Bindman, Rebecca</creatorcontrib><creatorcontrib>Miglioretti, Diana L.</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>Neurosciences Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Pediatric blood &amp; cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Weinmann, Sheila</au><au>Francisco, Melanie C.</au><au>Kwan, Marilyn L.</au><au>Bowles, Erin J. A.</au><au>Rahm, Alanna Kulchak</au><au>Greenlee, Robert T.</au><au>Stout, Natasha K.</au><au>Pole, Jason D.</au><au>Kushi, Lawrence H.</au><au>Smith‐Bindman, Rebecca</au><au>Miglioretti, Diana L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Positive predictive value and sensitivity of ICD‐9‐CM codes for identifying pediatric leukemia</atitle><jtitle>Pediatric blood &amp; cancer</jtitle><addtitle>Pediatr Blood Cancer</addtitle><date>2022-02</date><risdate>2022</risdate><volume>69</volume><issue>2</issue><spage>e29383</spage><epage>n/a</epage><pages>e29383-n/a</pages><issn>1545-5009</issn><eissn>1545-5017</eissn><abstract>Background To facilitate community‐based epidemiologic studies of pediatric leukemia, we validated use of ICD‐9‐CM diagnosis codes to identify pediatric leukemia cases in electronic medical records of six U.S. integrated health plans from 1996–2015 and evaluated the additional contributions of procedure codes for diagnosis/treatment. Procedures Subjects (N = 408) were children and adolescents born in the health systems and enrolled for at least 120 days after the date of the first leukemia ICD‐9‐CM code or tumor registry diagnosis. The gold standard was the health system tumor registry and/or medical record review. We calculated positive predictive value (PPV) and sensitivity by number of ICD‐9‐CM codes received in the 120‐day period following and including the first code. We evaluated whether adding chemotherapy and/or bone marrow biopsy/aspiration procedure codes improved PPV and/or sensitivity. Results Requiring receipt of one or more codes resulted in 99% sensitivity (95% confidence interval [CI]: 98–100%) but poor PPV (70%; 95% CI: 66–75%). Receipt of two or more codes improved PPV to 90% (95% CI: 86–93%) with 96% sensitivity (95% CI: 93–98%). Requiring at least four codes maximized PPV (95%; 95% CI: 92–98%) without sacrificing sensitivity (93%; 95% CI: 89–95%). Across health plans, PPV for four codes ranged from 84–100% and sensitivity ranged from 83–95%. Including at least one code for a bone marrow procedure or chemotherapy treatment had minimal impact on PPV or sensitivity. Conclusions The use of diagnosis codes from the electronic health record has high PPV and sensitivity for identifying leukemia in children and adolescents if more than one code is required.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>34773439</pmid><doi>10.1002/pbc.29383</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-0413-5434</orcidid><orcidid>https://orcid.org/0000-0002-7696-0070</orcidid><orcidid>https://orcid.org/0000-0001-6287-7391</orcidid><oa>free_for_read</oa></addata></record>
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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Adolescent
Adolescents
Algorithms
Biopsy
Bone marrow
Chemotherapy
Child
Children
Codes
Diagnosis
diagnosis codes
Electronic Health Records
Electronic medical records
Epidemiology
Hematology
Humans
International Classification of Diseases
Leukemia
Medical records
Oncology
Pediatrics
positive predictive value
Predictive Value of Tests
sensitivity
Tumors
title Positive predictive value and sensitivity of ICD‐9‐CM codes for identifying pediatric leukemia
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