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External Validation of Aspect (Algorithm for Suspected Pulmonary Embolism Confirmation and Treatment)

Dados Bibliográficos

ID9102566
AutoresAdi J Klil-Drori (Center for Clinical Epidemiology, Jewish General Hospital), Adi J Klil‐Drori (0000-0001-9368-7953, Jewish General Hospital, autor correspondente), Dwip Prajapati (Hematology and Hematologic Malignancies), Zhiying Liang (0009-0004-2908-1446, Clinical Neurosciences, University of Calgary, Calgary, AB), Meng Wang (0000-0001-5799-549X, Clinical Neurosciences, University of Calgary, Calgary, AB), Dominique Toupin (McGill University), Latifah Alothman (McGill University), Eddy Lang (0000-0003-0850-4337, University of Calgary), Deepa Suryanarayan (0000-0003-1712-3368, Hematology and Hematologic Malignancies), Vicky Tagalakis (0000-0003-2909-3143, Center for Clinical Epidemiology, Jewish General Hospital, autor correspondente)
Ano2019
Volume57
Fascículo8
Páginase47-e52
Data de publicação2019-08-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000001055
PMID30608277
OpenAlexW2909535800
IdiomaEN
Referências citadas17

BACKGROUND: Administrative health care databases are increasingly being used to study pulmonary embolism (PE), but the validity of single PE codes is variable. Using data from Quebec, Canada, we developed ASPECT (Algorithm for Suspected Pulmonary Embolism Confirmation and Treatment), combining 3 components to ascertain confirmed PE: emergency department (ED) diagnoses, imaging codes, and dispensed prescriptions or hospital diagnoses. Herein, we used unrelated administrative health care databases to externally validate ASPECT. METHODS: We used ED electronic health records (ED-EHRs) to identify all residents of Calgary (Alberta, Canada) with PE codes between January and June, 2016. We applied ASPECT by identifying imaging studies in the ED-EHR, admission diagnoses in linked discharge abstract database and filled prescriptions in linked pharmacy information. Confirmed PE in ASPECT was validated against chart review in the ED-EHR. RESULTS: The cohort included 498 patients. Overall, 258 (51.9%) were managed as outpatients and 327 were adjudicated to have confirmed PE; the positive predictive value (PV) of single PE codes was 65.6%. With ASPECT the positive PV was 96.5% [95% confidence interval (CI), 94.4-98.5%] and positive likelihood ratio was 10.9 (95% CI, 6.8-15.1). The negative PV and negative likelihood ratio were 85.1% (95% CI, 80.0-90.2%) and 0.1 (95% CI, 0.0-0.1), respectively. Overall agreement of ASPECT with confirmed PE was 92.2%. Further, ASPECT was similarly robust in inpatients and outpatients and was more precise than any 2-component combination of ASPECT. CONCLUSIONS: Our findings reiterate the limitations of using single administrative codes for PE and suggest ASPECT as an acceptable tool to study PE

Algorithm · Confidence interval · Diagnosis code · Emergency department · Hazard ratio · Likelihood ratios in diagnostic testing · Medical diagnosis · Medical prescription · Population · Pulmonary embolism · Radiology · Atrial Fibrillation Management and Outcomes · Emergency Medicine · Inflammatory Biomarkers in Disease Prognosis · Internal Medicine · Medicine · Venous Thromboembolism Diagnosis and Management · Pediatrics

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    Open Access•Roxanne Connelly, Christopher J Playford et al.•Social Science Research•2016

Velocidade de citaçãohistorical
Altamente citadoNão
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