Determinants of Smoking and Quitting in HIV-Infected Individuals.

ABSTRACT:

Background

Cigarette smoking is widespread among HIV-infected patients, who confront increased risk of smoking-related co-morbidities. The effects of HIV infection and HIV-related variables on smoking and smoking cessation are incompletely understood. We investigated the correlates of smoking and quitting in an HIV-infected cohort using a validated natural language processor to determine smoking status.

Method

We developed and validated an algorithm using natural language processing (NLP) to ascertain smoking status from electronic health record data. The algorithm was applied to records for a cohort of 3487 HIV-infected from a large health care system in Boston, USA, and 9446 uninfected control patients matched 3:1 on age, gender, race and clinical encounters. NLP was used

SUBMITTER: Regan S 

PROVIDER: S-EPMC4839777 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature