ArticleJournal of clinical microbiology2021
Clinical Decision Support Trees Can Help Optimize Utilization of Anaplasma phagocytophilum Nucleic Acid Amplification Testing.
Article in Journal of clinical microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors at 1 institution in 1 country.
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Abstract
Anaplasmosis, a tick-borne illness caused by Anaplasma phagocytophilum (AP), presents with nonspecific clinical symptoms, including fever and headache, and is often accompanied by laboratory abnormalities of leukopenia, thrombocytopenia, and mildly elevated liver function tests (LFTs). Laboratory confirmation of acute infection occurs with nucleic acid amplification testing (NAAT). This retrospective cohort study aimed to develop a clinical decision support algorithm to aid in decision-making about test ordering. A data set was constructed with AP NAAT results and time-adjacent complete blood count and LFT results for adult patients tested for AP in a 12.5-year period. A second, smaller data set matched each patient with a positive AP NAAT to two patients with negative tests. Chart review for clinical symptoms was performed on this smaller data set. A decision tree algorithm was deployed to identify patient clusters with negative AP NAAT results. A total of 137/1,204 (11%) patients tested positive by NAAT for AP. In the larger, laboratory-only data set (
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