Einzeltreffer — DigiBib

Objective: Electronic health records (EHRs) are a rich source of information on human diseases, but the information is variably structured, fragmented, curated using different coding systems, and collected for purposes other than medical research. We describe an approach for developing, validating, and sharing reproducible phenotypes from national structured EHR in the United Kingdom with applications for translational research.

Materials and Methods: We implemented a rule-based phenotyping framework, with up to 6 approaches of validation. We applied our framework to a sample of 15 million individuals in a national EHR data source (population-based primary care, all ages) linked to hospitalization and death records in England. Data comprised continuous measurements (for example, blood pressure; medication information; coded diagnoses, symptoms, procedures, and referrals), recorded using 5 controlled clinical terminologies: (1) read (primary care, subset of SNOMED-CT [Systematized Nomenclature of Medicine Clinical Terms]), (2) International Classification of Diseases-Ninth Revision and Tenth Revision (secondary care diagnoses and cause of mortality), (3) Office of Population Censuses and Surveys Classification of Surgical Operations and Procedures, Fourth Revision (hospital surgical procedures), and (4) DM+D prescription codes.

Results: Using the CALIBER phenotyping framework, we created algorithms for 51 diseases, syndromes, biomarkers, and lifestyle risk factors and provide up to 6 validation approaches. The EHR phenotypes are curated in the open-access CALIBER Portal (https://www.caliberresearch.org/portal) and have been used by 40 national and international research groups in 60 peer-reviewed publications.

Conclusions: We describe a UK EHR phenomics approach within the CALIBER EHR data platform with initial evidence of validity and use, as an important step toward international use of UK EHR data for health research.

Titel:	UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.
Autor/in / Beteiligte Person:	Denaxas, S ; Gonzalez-Izquierdo, A ; Direk, K ; Fitzpatrick, NK ; Fatemifar, G ; Banerjee, A ; Dobson, RJB ; Howe, LJ ; Kuan, V ; Lumbers, RT ; Pasea, L ; Patel, RS ; Shah, AD ; Hingorani, AD ; Sudlow, C ; Hemingway, H
Link:	Full Text Finder (Volltext)
Zeitschrift:	Journal of the American Medical Informatics Association : JAMIA, Jg. 26 (2019-12-01), Heft 12, S. 1545-1559
Veröffentlichung:	2015- : Oxford : Oxford University Press ; <i>Original Publication</i>: Philadelphia, PA : Hanley & Belfus, c1993-, 2019
Medientyp:	academicJournal
ISSN:	1527-974X (electronic)
DOI:	10.1093/jamia/ocz105
Schlagwort:	Diagnosis Humans Phenotype Primary Health Care United Kingdom Vocabulary, Controlled Algorithms Electronic Health Records Information Storage and Retrieval methods
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article; Research Support, Non-U.S. Gov't Language: English [J Am Med Inform Assoc] 2019 Dec 01; Vol. 26 (12), pp. 1545-1559. MeSH Terms: Algorithms* ; Electronic Health Records* ; Information Storage and Retrieval / *methods ; Diagnosis ; Humans ; Phenotype ; Primary Health Care ; United Kingdom ; Vocabulary, Controlled References: Lancet. 2017 Jul 29;390(10093):490-499. (PMID: 28622955) ; Drug Saf. 2014 Nov;37(11):945-59. (PMID: 25187016) ; J Infect Dis. 2012 Dec 1;206(11):1652-9. (PMID: 23048170) ; J Clin Epidemiol. 2016 Feb;70:214-23. (PMID: 26441289) ; PLoS One. 2014 Aug 21;9(8):e104671. (PMID: 25144739) ; BMJ Open. 2013 Sep 13;3(9):e003389. (PMID: 24038008) ; PLoS One. 2014 Jun 18;9(6):e99825. (PMID: 24941260) ; J Epidemiol Community Health. 2004 Mar;58(3):250-7. (PMID: 14966241) ; Nat Biotechnol. 2013 Dec;31(12):1102-10. (PMID: 24270849) ; Ther Adv Drug Saf. 2012 Apr;3(2):89-99. (PMID: 25083228) ; Circulation. 2015 Oct 6;132(14):1320-8. (PMID: 26330414) ; Lancet. 2018 May 12;391(10133):1897-1907. (PMID: 29735391) ; J Am Med Inform Assoc. 2013 Jun;20(e1):e147-54. (PMID: 23531748) ; J Public Health (Oxf). 2014 Dec;36(4):684-92. (PMID: 24323951) ; J Am Med Inform Assoc. 2018 Mar 1;25(3):289-294. (PMID: 29040596) ; N Engl J Med. 2015 Feb 26;372(9):793-5. (PMID: 25635347) ; Eur Heart J. 2018 Apr 21;39(16):1481-1495. (PMID: 29370377) ; BMJ. 2017 Mar 22;356:j909. (PMID: 28331015) ; Proc AMIA Symp. 2001;:17-21. (PMID: 11825149) ; Open Heart. 2016 Sep 05;3(2):e000477. (PMID: 27621833) ; Eur Respir J. 2017 Jun 15;49(6):. (PMID: 28619959) ; Eur J Prev Cardiol. 2018 Sep;25(14):1485-1495. (PMID: 29966429) ; Drug Saf. 2013 Oct;36 Suppl 1:S159-69. (PMID: 24166232) ; BMJ Open. 2016 Oct 11;6(10):e012785. (PMID: 27729352) ; BMJ Open. 2017 Feb 17;7(2):e013100. (PMID: 28213596) ; Genet Med. 2013 Oct;15(10):761-71. (PMID: 23743551) ; Int J Med Inform. 2009 Jan;78(1):22-31. (PMID: 18644745) ; J Am Med Inform Assoc. 2013 Jan 1;20(1):117-21. (PMID: 22955496) ; BMC Med Inform Decis Mak. 2009 Jan 16;9:3. (PMID: 19149883) ; Heart. 2010 Oct;96(20):1617-21. (PMID: 20801780) ; Can J Public Health. 2013 Mar 06;104(3):e258-61. (PMID: 23823892) ; Nucleic Acids Res. 2004 Jan 1;32(Database issue):D267-70. (PMID: 14681409) ; BMJ Open. 2018 Mar 3;8(3):e018331. (PMID: 29502083) ; Aust Health Rev. 2008 Nov;32(4):766-77. (PMID: 18980573) ; Sci Transl Med. 2016 Jun 1;8(341):341ps12. (PMID: 27252173) ; PLoS One. 2016 Apr 22;11(4):e0153838. (PMID: 27105076) ; Int J Epidemiol. 2015 Jun;44(3):827-36. (PMID: 26050254) ; BMJ. 2009 Aug 27;339:b3047. (PMID: 19713233) ; Eur Heart J Qual Care Clin Outcomes. 2015 Jul 1;1(1):9-16. (PMID: 29474568) ; J Am Med Inform Assoc. 2015 Nov;22(6):1220-30. (PMID: 26342218) ; Lancet Diabetes Endocrinol. 2015 Feb;3(2):105-13. (PMID: 25466521) ; BMC Med Inform Decis Mak. 2018 Jun 25;18(1):47. (PMID: 29941004) ; Int J Cardiol. 2015;187:705-11. (PMID: 25966015) ; AMIA Annu Symp Proc. 2018 Apr 16;2017:1352-1361. (PMID: 29854204) ; PLoS One. 2016 Nov 18;11(11):e0162236. (PMID: 27861488) ; AMIA Annu Symp Proc. 2012;2012:911-20. (PMID: 23304366) ; BMC Health Serv Res. 2009 Sep 04;9:157. (PMID: 19732426) ; BMJ Support Palliat Care. 2020 Sep;10(3):e24. (PMID: 29950293) ; J Am Med Inform Assoc. 2018 May 1;25(5):530-537. (PMID: 29361077) ; J Biomed Inform. 2016 Aug;62:232-42. (PMID: 27392645) ; PLoS One. 2017 Jun 9;12(6):e0178945. (PMID: 28598987) ; Eur J Heart Fail. 2017 Sep;19(9):1119-1127. (PMID: 28008698) ; BioData Min. 2016 Sep 22;9:29. (PMID: 27688810) ; Int J Med Inform. 2018 Apr;112:82-89. (PMID: 29500026) ; BJGP Open. 2018 Jun 13;2(2):bjgpopen18X101589. (PMID: 30564722) ; Annu Rev Biomed Data Sci. 2018 Jul;1:53-68. (PMID: 31218278) ; J Am Med Inform Assoc. 2016 Nov;23(6):1046-1052. (PMID: 27026615) ; Nat Genet. 2015 Oct;47(10):1121-1130. (PMID: 26343387) ; Acad Med. 2013 Oct;88(10):1471-7. (PMID: 23969372) ; J Am Med Inform Assoc. 2015 Nov;22(6):1251-60. (PMID: 26224336) ; Nat Commun. 2014 Jun 24;5:4022. (PMID: 24959948) ; BioData Min. 2017 Sep 11;10:31. (PMID: 28912836) ; Clin Pharmacol Ther. 2008 Sep;84(3):362-9. (PMID: 18500243) ; J Public Health (Oxf). 2012 Mar;34(1):138-48. (PMID: 21795302) ; Pharmacoepidemiol Drug Saf. 2013 Feb;22(2):168-75. (PMID: 23239282) ; Am J Hum Genet. 2007 Sep;81(3):559-75. (PMID: 17701901) ; Genome Med. 2015 Apr 30;7(1):41. (PMID: 25937834) ; PLoS One. 2016 May 02;11(5):e0154515. (PMID: 27135409) ; BMJ. 2018 Apr 24;361:k1687. (PMID: 29691228) ; Heart. 2010 Aug;96(16):1264-7. (PMID: 20659944) ; J Am Coll Cardiol. 2017 Mar 7;69(9):1160-1169. (PMID: 28254179) ; Lancet. 2014 May 31;383(9932):1899-911. (PMID: 24881994) ; Int J Epidemiol. 2017 Aug 1;46(4):1093-1093i. (PMID: 28338941) ; Int J Epidemiol. 2015 Feb;44(1):129-41. (PMID: 25416721) ; Int J Epidemiol. 2012 Dec;41(6):1625-38. (PMID: 23220717) ; Br J Clin Pharmacol. 2010 Jan;69(1):4-14. (PMID: 20078607) ; Eur Heart J. 2014 Sep 14;35(35):2363-71. (PMID: 25038774) ; Lancet Digit Health. 2019 May 20;1(2):e63-e77. (PMID: 31650125) ; PLoS One. 2014 Nov 04;9(11):e110900. (PMID: 25369203) ; BMJ. 2013 May 20;346:f2350. (PMID: 23692896) ; J Biomed Inform. 2017 Jun;70:1-13. (PMID: 28442434) ; Eur Heart J Qual Care Clin Outcomes. 2016 Jul 1;2(3):172-183. (PMID: 29474617) ; Annu Rev Public Health. 2016;37:61-81. (PMID: 26667605) ; Methods Inf Med. 1995 Mar;34(1-2):187-92. (PMID: 9082130) ; J Am Med Inform Assoc. 2016 Sep;23(5):1007-15. (PMID: 26911811) Grant Information: MR/K006584/1 United Kingdom MRC_ Medical Research Council; MR/L023784/1 United Kingdom MRC_ Medical Research Council; MR/L023784/2 United Kingdom MRC_ Medical Research Council; MR/S003754/1 United Kingdom MRC_ Medical Research Council Contributed Indexing: Keywords: electronic health records; medical informatics; personalized medicine; phenotyping Entry Date(s): Date Created: 20190723 Date Completed: 20210216 Latest Revision: 20240626 Update Code: 20240626 PubMed Central ID: PMC6857510

Klicken Sie ein Format an und speichern Sie dann die Daten oder geben Sie eine Empfänger-Adresse ein und lassen Sie sich per Email zusenden.

BibTeX Citavi, JabRef, u.a.
(Literaturverwaltung)

PDF kein Volltext!
(Merkzettel, Notizen)

RIS Endnote, Citavi u.a.
(Literaturverwaltung)

MODS
(XML zur Weiterverarbeitung)

oder

Wählen Sie das für Sie passende Zitationsformat und kopieren Sie es dann in die Zwischenablage, lassen es sich per Mail zusenden oder speichern es als PDF-Datei.

Gewünschter Zitations-Stil:

oder

Bitte prüfen Sie, ob die Zitation formal korrekt ist, bevor Sie sie in einer Arbeit verwenden. Benutzen Sie gegebenenfalls den "Exportieren"-Dialog, wenn Sie ein Literaturverwaltungsprogramm verwenden und die Zitat-Angaben selbst formatieren wollen.

UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.