Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

3.138.200.26
dgid:
enl:
npi:0
-Advertisement-
-Advertisement-
Journal Scan
Pulmonology

Validated algorithms can help identify pulmonary arterial hypertension in administrative data

Posted on

In this study, researchers developed and validated algorithms to help identify pulmonary arterial hypertension (PAH) in administrative data in Veterans Health Administration (VA) hospitals and a PAH referral center at Boston Medical Center (BMC).

Using International Classification of Diseases diagnosis codes, all patients in each setting diagnosed with pulmonary hypertension (PH) were identified and analyzed for diagnosis codes for PAH-associated conditions, procedure codes for right heart catheterizations (RHC), and pharmacy claims for PAH-specific therapy.

-Advertisement-
-Advertisement-

Algorithms were validated using gold standard review of primary clinical data and calculated sensitivity, specificity, positive predictive values (PPV), and negative predictive values.

A total of 12,012 patients with PH were identified in the VA setting and 503 patients in the BMC setting. When only PH diagnosis codes were used to identify PAH, the PPV was only 16% in the VA setting and 36% in the BMC setting. Only modest improvements were noted with the addition of PAH-associated conditions.

An algorithm combining ICD diagnosis codes, RHC codes, and PAH-specific therapy resulted in 97.1% ad 95% specificity and 70% and 86% PPV in the VA setting and the BMC settings, respectively.

Reference
Gillmeyer KR, Nunez ER, Rinne ST, et al. Development and validation of algorithms to identify pulmonary arterial hypertension in administrative data. Chest. 2020;S0012-3692(20)35455-6. DOI: 10.1016/j.chest.2020.12.010. Epub ahead of print. PMID: 33345949.

-Advertisement-
-Advertisement-
-Advertisement-
-Advertisement-