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acute cva icd 10
So L; Evans D; Quan H
BACKGROUND: With the addition of ICD-10 throughout Canada, it is important to ensure that Astute Myocardial Infarction (AMI) comorbidities active in accident acclimation methods abide accurate and robust. Therefore, we developed ICD-10 coding algorithms for nine AMI comorbidities, advised the authority of the ICD-10 and ICD-9 coding algorithms in apprehension of these comorbidities, and adjourned their achievement in admiration mortality. The nine comorbidities that we advised were shock, diabetes with complications, congestive affection failure, cancer, cerebrovascular disease, pulmonary edema, astute renal failure, abiding renal failure, and cardiac dysrhythmias.
METHODS: Coders generated a absolute account of ICD-10 codes agnate to anniversary AMI comorbidity. Physicians apart advised and bent the analytic appliance of anniversary account on the list. To ensure that the anew developed ICD-10 coding algorithms were accurate in recording comorbidities, medical archive were reviewed. After assessing ICD-10 algorithms' validity, both ICD-10 and ICD-9 algorithms were activated to a Canadian bigoted hospital acquittal database to adumbrate in-hospital, 30-day, and 1-year mortality.
RESULTS: Compared to blueprint analysis abstracts as a 'criterion standard', ICD-9 and ICD-10 abstracts had agnate sensitivities (ranging from 7.1-100%), and specificities (above 93.6%) for anniversary of the nine AMI comorbidities studied. The frequencies for the comorbidities were agnate amid ICD-9 and ICD-10 coding algorithms for 49,861 AMI patients in a Canadian arena during 1994-2004. The C-statistics for admiration 30-day and 1 year bloodshed were the aforementioned for ICD-9 (0.82) and for ICD-10 abstracts (0.81).
CONCLUSION: The ICD-10 coding algorithms developed in this abstraction to ascertain AMI comorbidities performed analogously as accomplished ICD-9 coding algorithms in audition altitude and risk-adjustment in our sample. However, the ICD-10 coding algorithms should be added accurate in alien databases.
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.
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