ArticlePulmonary circulation
Validation of claims-based algorithms for pulmonary arterial hypertension.
Article in Pulmonary circulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Pooled it
- Comorbidities and Events of Clinical Interest in Patients with Pulmonary Arterial Hypertension (PAH): Analysis of Real-World Data.Pulmonary circulation · 2026Article
- Healthcare Resource Utilization and Medical Costs in Pulmonary Arterial Hypertension Management in Japan: A Retrospective Study Using a Claims Database.Pulmonary therapy · 2026Article
- Clinical evaluation of code-based algorithms to identify patients with pulmonary arterial hypertension in healthcare databases.Pulmonary circulation · 2024Article
- Real-world clinical practice of pulmonary arterial hypertension in Japan: Insights from a large administrative database.Pulmonary circulation · 2023Article
- Epidemiology of PAH in Korea: An Analysis of the National Health Insurance Data, 2002-2018.Korean circulation journal · 2023Article
- Validation of Diagnostic Coding for Asthma in an Electronic Health Record System in Hong Kong.Journal of asthma and allergy · 2023Article
- An algorithm to identify cases of pulmonary arterial hypertension from the electronic medical record.Respiratory research · 2022Article
- Article
- Using health administrative data to identify patients with pulmonary hypertension: A single center, proof of concept validation study in Ontario, Canada.Pulmonary circulation · 2022Article
- Development and Validation of Algorithms to Identify Pulmonary Arterial Hypertension in Administrative Data.Chest · 2021Article
- Claims-Based Algorithms for Identifying Patients With Pulmonary Hypertension: A Comparison of Decision Rules and Machine-Learning Approaches.Journal of the American Heart Association · 2020Article
- Combining population-based administrative health records and electronic medical records for disease surveillance.BMC medical informatics and decision making · 2019Article
- Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms.Annals of the American Thoracic Society · 2019Review
- Cardiovascular Outcomes of Patients With Pulmonary Hypertension Undergoing Noncardiac Surgery.The American journal of cardiology · 2019Article
- Practical management of riociguat in patients with pulmonary arterial hypertension.Therapeutic advances in respiratory diseaseReview
- Burden of pulmonary arterial hypertension in England: retrospective HES database analysis.Therapeutic advances in respiratory diseaseArticle
- Evaluation of code-based algorithms to identify pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension patients in large administrative databases.Pulmonary circulationArticle
- Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Administrative claims studies do not adequately distinguish pulmonary arterial hypertension (PAH) from other forms of pulmonary hypertension (PH). Our aim is to develop and validate a set of algorithms using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes and electronic medical records (EMR), to identify patients with PAH. From January 2012 to August 2015, the EMRs of patients with ICD-9-CM codes for PH with an outpatient visit at the University of Texas Medical Branch were reviewed. Patients were divided into PAH or non-PAH groups according to EMR encounter diagnosis. Patient demographics, echocardiography, right heart catheterization (RHC) results, and PAH-specific therapies were assessed. RHC measurements were reviewed to categorize cases as hemodynamically determined PAH or not PAH. Weighted sensitivity, specificity, and positive and negative predictive values were calculated for the developed algorithms. A logistic regression analysis was conducted to determine how well the algorithms performed. External validation was performed at the University of Virginia Health System. The cohort for the development algorithms consisted of 683 patients with PH, PAH group (n = 191) and non-PAH group (n = 492). A hemodynamic diagnosis of PAH determined by RHC was recorded in the PAH (26%) and non-PAH (3%) groups. The positive predictive value for the algorithm that included ICD-9-CM and PAH-specific medications was 66.9% and sensitivity was 28.2% with a c-statistic of 0.66. The positive predictive value for the EMR-based algorithm that included ICD-9-CM, EMR encounter diagnosis, echocardiography, RHC, and PAH-specific medication was 69.4% and a c-statistic of 0.87. A validation cohort of 177 patients with PH examined from August 2015 to August 2016 using EMR-based algorithms yielded a similar positive predictive value of 62.5%. In conclusion, claims-based algorithms that included ICD-9-CM codes, EMR encounter diagnosis, echocardiography, RHC, and PAH-specific medications better-identified patients with PAH than ICD-9-CM codes alone.
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