4 Administrative and claims databases have been used in the active surveillance of HF and to compare the effectiveness of different treatments for patients with this clinical syndrome. 1 It is estimated that more than 700,000 new cases of HF occur annually 2, 3 and that one in every five middle-aged man and woman will develop HF during their lifetime. HF is a major public health problem and an emerging epidemic. Although the use of administrative and claims data may efficiently identify patients for inclusion in a study cohort, the validity of published algorithms for identifying patients with heart failure (HF) has not been well described. Large administrative and claims databases can identify individuals and hospitalizations for use in population-based research and surveillance. Including outpatient codes in the described algorithms would increase the sensitivity for identifying new cases of HF. Attention should be paid to whether patients who are managed on an outpatient basis are included in the study sample.
The algorithms and definitions used to identify HF using administrative and claims data perform well, particularly when using a primary hospital discharge diagnosis. The most common ‘gold standard’ for the validation of HF was the Framingham Heart Study criteria. This algorithm, however, may compromise sensitivity because many HF patients are managed on an outpatient basis.
PPVs for this algorithm ranged from 84% to 100%.
#Acute atrial flutter icd 10 code#
Studies that included patients with a primary hospital discharge diagnosis of International Classification of Diseases, Ninth Revision, code 428.X had the highest PPV and specificity for HF. Positive predictive values (PPVs) were in the acceptable to high range, with most being very high (>90%).
#Acute atrial flutter icd 10 full#
Of these, 499 full articles were reviewed and 35 studies included data to evaluate the validity of identifying patients with HF. The initial search strategy identified 887 abstracts.
Abstracts and articles were reviewed by two study investigators to determine their relevance on the basis of predetermined criteria. MethodsĪ systematic review of PubMed and Iowa Drug Information Service searches of the English language was performed to identify studies published between 19 that evaluated the validity of algorithms for the identification of patients with HF using and claims data. To identify and describe the validity of algorithms used to detect heart failure (HF) using administrative and claims data sources.
0 kommentar(er)
