A dynamic nomogram for predicting the risk of asthma: Development and validation in a database study.

ABSTRACT:

Background

Asthma remains a serious health problem with increasing prevalence and incidence. This study was to develop and validate a dynamic nomogram for predicting asthma risk.

Methods

Totally 597 subjects whose age ≥18 years old with asthma, an accurate age at first cigarette, and clear smoking status were selected from the National Health and Nutrition Examination Survey (NHANES) database (2013-2018). The dataset was randomly split into the training set and the testing set at a ratio of 4:6. Simple and multiple logistic regressions were used for identifying independent predictors. Then the nomogram was developed and internally validated using data from the testing set. The receiver operator characteristic (ROC) curve was used for assessing the performance of the nomogram

SUBMITTER: Yang L 

PROVIDER: S-EPMC8275008 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature