An analysis of serial Minnesota ECG code changes in the London cohort of the WHO multinational study of vascular disease ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2001-09

AUTHORS

H. Keen, N. Morrish, E. T. Lee, WHO Multinational Study Group

ABSTRACT

Aims/hypothesis: Deterioration and improvement in the electrocardiogram are important outcomes in cardiovascular disease progression assessment. We used a sample of serial records from the WHO Multinational Study of Vascular Disease in Diabetes (WHO MSVDD) to assess Minnesota coding variability. Methods: A constructed subsample of 118 of the 352 paired (baseline and follow-up) and previously Minnesota-coded ECG records from the London cohort was randomised and re-read independently of the first code (respectively 11 and 0.5 years later) by the same two coders. Detailed Minnesota codes were summary coded into groups 1 (CHD unlikely), 2 and 3 (CHD possible and probable, respectively). Results: Re-reading of the constructed sample for the baseline records (11 years later) generated 21 Summary code reassignments (2 unlikely to possible or probable; 19 possible or probable to unlikely); re-reading for the follow-up records (0.5 years later) generated only 8 summary code reassignments (21 vs 8 p < 0.001) (3 unlikely to possible or probable; 4 possible or probable to unlikely; 1 probable to possible). Re-reading increased the estimated net ECG deterioration in the constructed sample from 11.8 % to 25.4 %. Consistency analysis showed most variability in marginal baseline abnormalities. Conclusion/interpretation: Coding variability is now small though re-reading suggests some time-dependent coding drift. Relative over-reading at baseline suggests that the change reported in the complete WHO MSVDD cohort at follow-up was underestimated and that almost all of the reported ECG deterioration and about half of the reported ECG ’improvement' was real. [Diabetologia (2001) 44 [Suppl 2]: S 72–S 77] More... »

PAGES

s72

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/pl00002942

DOI

http://dx.doi.org/10.1007/pl00002942

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1025640222

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/11587053


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