{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T16:24:24Z","timestamp":1765815864806,"version":"3.48.0"},"reference-count":27,"publisher":"BMJ","issue":"11","content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2017,9,29]]},"published-print":{"date-parts":[[2017,11]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To determine the utility of International Classification of Diseases (ICD) codes in investigating trends in ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) using person-linked electronic hospitalisation data in England and Western Australia (WA).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>All hospital admissions with myocardial infarction (MI) as the principal diagnosis were identified from 2000 to 2013 from both jurisdictions. Fourth-digit ICD-10 codes were used to delineate all MI types\u2014STEMI, NSTEMI, unspecified and subsequent MI. The annual frequency of each MI type was calculated as a proportion of all MI admissions. For all MI and each MI type, age-standardised rates were calculated and age-adjusted Poisson regression models used to estimate annual percentage changes in rates.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In 2000, STEMI accounted for 49% of all MI admissions in England and 59% in WA, decreasing to 35% and 25%\u2009respectively by 2013. Less than 10% of admissions were recorded as NSTEMI in England throughout the study period, whereas by 2013, 70% of admissions were NSTEMI in WA. Unspecified MI comprised 60% of all MI admissions in England by 2013, compared with &lt;1% in WA. Trends in age-standardised rates differed for all MI (England, \u22122.7%\/year; WA, +1.7%\/year), underpinned by differing age-adjusted trends in NSTEMI (England, \u22126.1%\/year; WA, +10.2%\/year).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Differences between the proportion and trends for MI types in English and WA data were observed. These were consistent with the coding standards in each country. This has important implications for using electronic hospital data for monitoring MI and identifying MI types for outcome studies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2017-019217","type":"journal-article","created":{"date-parts":[[2017,11,13]],"date-time":"2017-11-13T01:00:33Z","timestamp":1510534833000},"page":"e019217","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":17,"title":["Identification of myocardial infarction type from electronic hospital data in England and Australia: a comparative data linkage study"],"prefix":"10.1136","volume":"7","author":[{"given":"Lee","family":"Nedkoff","sequence":"first","affiliation":[{"name":"School of Population and Global Health, The University of Western Australia, Perth, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Derrick","family":"Lopez","sequence":"additional","affiliation":[{"name":"School of Population and Global Health, The University of Western Australia, Perth, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Goldacre","sequence":"additional","affiliation":[{"name":"Unit of Health-Care Epidemiology, Nuffield Department of Public Health, University of Oxford, Oxford, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3639-0787","authenticated-orcid":false,"given":"Frank","family":"Sanfilippo","sequence":"additional","affiliation":[{"name":"School of Population and Global Health, The University of Western Australia, Perth, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Hobbs","sequence":"additional","affiliation":[{"name":"School of Population and Global Health, The University of Western Australia, Perth, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F Lucy","family":"Wright","sequence":"additional","affiliation":[{"name":"Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"239","published-online":{"date-parts":[[2017,11,12]]},"reference":[{"key":"2025121508211113000_7.11.e019217.1","unstructured":"World Health Organization. The top 10 causes of death, 2014. cited 1 Jul 2015. http:\/\/www.who.int\/mediacentre\/factsheets\/fs310\/en\/"},{"key":"2025121508211113000_7.11.e019217.2","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/145.8.707"},{"key":"2025121508211113000_7.11.e019217.3","doi-asserted-by":"publisher","DOI":"10.5694\/mja16.00368"},{"key":"2025121508211113000_7.11.e019217.4","unstructured":"World Health Organization. International statistical classification of diseases and related health problems 10th revision (ICD-10)-2015, 2015. http:\/\/apps.who.int\/classifications\/icd10\/browse\/2015\/en#\/I20-I25"},{"key":"2025121508211113000_7.11.e019217.5","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.111.047480"},{"key":"2025121508211113000_7.11.e019217.6","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.109.897249"},{"key":"2025121508211113000_7.11.e019217.7","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.d8059"},{"key":"2025121508211113000_7.11.e019217.8","unstructured":"Australian Institute of Health and Welfare. Monitoring acute coronary syndrome using national hospital data: an information paper on trends and issues. Canberra, 2011. Report No:Cat. no. CVD 57."},{"key":"2025121508211113000_7.11.e019217.9","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCOUTCOMES.114.000952"},{"key":"2025121508211113000_7.11.e019217.10","unstructured":"National Centre for Classification in Health. The International Statistical Classification of Diseases and related health problems, tenth revision, Australian modification (ICD-10-AM): tabular list. 7th edn Sydney. University of Sydney: National Centre for Classification in Health, 2004."},{"key":"2025121508211113000_7.11.e019217.11","unstructured":"Health & Social Care Information Centre. Clinical Coding Instruction Manual ICD-10 version 2.0, 2007."},{"key":"2025121508211113000_7.11.e019217.12","unstructured":"Health & Social Care Information Centre. National Clinical Coding Standards ICD-10. 4th edn, 2012."},{"key":"2025121508211113000_7.11.e019217.13","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.ijcard.2016.02.022","article-title":"The temporal trends of incidence, treatment, and in-hospital mortality of acute myocardial infarction over 15years in a Taiwanese population","volume":"209","author":"Yin","year":"2016","journal-title":"Int J Cardiol"},{"key":"2025121508211113000_7.11.e019217.14","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa0908610"},{"key":"2025121508211113000_7.11.e019217.15","doi-asserted-by":"publisher","DOI":"10.1136\/openhrt-2016-000429"},{"key":"2025121508211113000_7.11.e019217.16","doi-asserted-by":"publisher","DOI":"10.5694\/mja12.11854"},{"key":"2025121508211113000_7.11.e019217.17","doi-asserted-by":"publisher","DOI":"10.1136\/heartjnl-2012-301822"},{"key":"2025121508211113000_7.11.e019217.18","doi-asserted-by":"crossref","first-page":"2350","DOI":"10.1136\/bmj.f2350","article-title":"Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study","volume":"346","author":"Herrett","year":"2013","journal-title":"BMJ"},{"key":"2025121508211113000_7.11.e019217.19","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2261-11-35"},{"key":"2025121508211113000_7.11.e019217.20","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2013.03.014"},{"key":"2025121508211113000_7.11.e019217.21","doi-asserted-by":"publisher","DOI":"10.1097\/01.hpc.0000185739.52581.92"},{"key":"2025121508211113000_7.11.e019217.22","doi-asserted-by":"publisher","DOI":"10.1093\/eurheartj\/ehu043"},{"key":"2025121508211113000_7.11.e019217.23","doi-asserted-by":"publisher","DOI":"10.1136\/hrt.2009.192328"},{"key":"2025121508211113000_7.11.e019217.24","doi-asserted-by":"publisher","DOI":"10.1177\/2047487313495993"},{"key":"2025121508211113000_7.11.e019217.25","doi-asserted-by":"publisher","DOI":"10.1177\/2047487314544975"},{"key":"2025121508211113000_7.11.e019217.26","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(13)62070-X"},{"key":"2025121508211113000_7.11.e019217.27","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2288-12-161"}],"container-title":["BMJ Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.1136\/bmjopen-2017-019217","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T16:21:19Z","timestamp":1765815679000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmjopen.bmj.com\/lookup\/doi\/10.1136\/bmjopen-2017-019217"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11]]},"references-count":27,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2017,11,12]]},"published-print":{"date-parts":[[2017,11]]}},"alternative-id":["10.1136\/bmjopen-2017-019217"],"URL":"https:\/\/doi.org\/10.1136\/bmjopen-2017-019217","relation":{},"ISSN":["2044-6055","2044-6055"],"issn-type":[{"type":"print","value":"2044-6055"},{"type":"electronic","value":"2044-6055"}],"subject":[],"published":{"date-parts":[[2017,11]]}}}